modelId
stringlengths 5
139
| author
stringlengths 2
42
| last_modified
timestamp[us, tz=UTC]date 2020-02-15 11:33:14
2025-06-04 18:27:18
| downloads
int64 0
223M
| likes
int64 0
11.7k
| library_name
stringclasses 468
values | tags
sequencelengths 1
4.05k
| pipeline_tag
stringclasses 54
values | createdAt
timestamp[us, tz=UTC]date 2022-03-02 23:29:04
2025-06-04 18:26:45
| card
stringlengths 11
1.01M
|
|---|---|---|---|---|---|---|---|---|---|
aXhyra/demo_sentiment_1234567 | aXhyra | 2021-12-13T23:06:38Z | 4 | 0 | transformers | [
"transformers",
"pytorch",
"distilbert",
"text-classification",
"generated_from_trainer",
"dataset:tweet_eval",
"license:apache-2.0",
"model-index",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | text-classification | 2022-03-02T23:29:05Z | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- tweet_eval
metrics:
- f1
model-index:
- name: demo_sentiment_1234567
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: tweet_eval
type: tweet_eval
args: sentiment
metrics:
- name: F1
type: f1
value: 0.7113620044371958
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# demo_sentiment_1234567
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the tweet_eval dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6332
- F1: 0.7114
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 8.62486660723695e-06
- train_batch_size: 64
- eval_batch_size: 64
- seed: 0
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4
### Training results
| Training Loss | Epoch | Step | Validation Loss | F1 |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 0.7592 | 1.0 | 713 | 0.6509 | 0.6834 |
| 0.6389 | 2.0 | 1426 | 0.6318 | 0.7011 |
| 0.5647 | 3.0 | 2139 | 0.6320 | 0.7041 |
| 0.5391 | 4.0 | 2852 | 0.6332 | 0.7114 |
### Framework versions
- Transformers 4.12.5
- Pytorch 1.9.1
- Datasets 1.16.1
- Tokenizers 0.10.3
|
aXhyra/demo_sentiment_31415 | aXhyra | 2021-12-13T22:54:14Z | 6 | 0 | transformers | [
"transformers",
"pytorch",
"distilbert",
"text-classification",
"generated_from_trainer",
"dataset:tweet_eval",
"license:apache-2.0",
"model-index",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | text-classification | 2022-03-02T23:29:05Z | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- tweet_eval
metrics:
- f1
model-index:
- name: demo_sentiment_31415
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: tweet_eval
type: tweet_eval
args: sentiment
metrics:
- name: F1
type: f1
value: 0.7113620044371958
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# demo_sentiment_31415
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the tweet_eval dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6332
- F1: 0.7114
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 8.62486660723695e-06
- train_batch_size: 64
- eval_batch_size: 64
- seed: 0
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4
### Training results
| Training Loss | Epoch | Step | Validation Loss | F1 |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 0.7592 | 1.0 | 713 | 0.6509 | 0.6834 |
| 0.6389 | 2.0 | 1426 | 0.6318 | 0.7011 |
| 0.5647 | 3.0 | 2139 | 0.6320 | 0.7041 |
| 0.5391 | 4.0 | 2852 | 0.6332 | 0.7114 |
### Framework versions
- Transformers 4.12.5
- Pytorch 1.9.1
- Datasets 1.16.1
- Tokenizers 0.10.3
|
huggingtweets/empressrandom | huggingtweets | 2021-12-13T22:46:44Z | 3 | 0 | transformers | [
"transformers",
"pytorch",
"gpt2",
"text-generation",
"huggingtweets",
"en",
"autotrain_compatible",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | text-generation | 2022-03-02T23:29:05Z | ---
language: en
thumbnail: https://github.com/borisdayma/huggingtweets/blob/master/img/logo.png?raw=true
tags:
- huggingtweets
widget:
- text: "My dream is"
---
<div class="inline-flex flex-col" style="line-height: 1.5;">
<div class="flex">
<div
style="display:inherit; margin-left: 4px; margin-right: 4px; width: 92px; height:92px; border-radius: 50%; background-size: cover; background-image: url('https://pbs.twimg.com/profile_images/1046186115647115264/wc7kB-PY_400x400.jpg')">
</div>
<div
style="display:none; margin-left: 4px; margin-right: 4px; width: 92px; height:92px; border-radius: 50%; background-size: cover; background-image: url('')">
</div>
<div
style="display:none; margin-left: 4px; margin-right: 4px; width: 92px; height:92px; border-radius: 50%; background-size: cover; background-image: url('')">
</div>
</div>
<div style="text-align: center; margin-top: 3px; font-size: 16px; font-weight: 800">🤖 AI BOT 🤖</div>
<div style="text-align: center; font-size: 16px; font-weight: 800">Random Empress Theresa</div>
<div style="text-align: center; font-size: 14px;">@empressrandom</div>
</div>
I was made with [huggingtweets](https://github.com/borisdayma/huggingtweets).
Create your own bot based on your favorite user with [the demo](https://colab.research.google.com/github/borisdayma/huggingtweets/blob/master/huggingtweets-demo.ipynb)!
## How does it work?
The model uses the following pipeline.
To understand how the model was developed, check the [W&B report](https://wandb.ai/wandb/huggingtweets/reports/HuggingTweets-Train-a-Model-to-Generate-Tweets--VmlldzoxMTY5MjI).
## Training data
The model was trained on tweets from Random Empress Theresa.
| Data | Random Empress Theresa |
| --- | --- |
| Tweets downloaded | 3250 |
| Retweets | 29 |
| Short tweets | 34 |
| Tweets kept | 3187 |
[Explore the data](https://wandb.ai/wandb/huggingtweets/runs/m6jr1ywy/artifacts), which is tracked with [W&B artifacts](https://docs.wandb.com/artifacts) at every step of the pipeline.
## Training procedure
The model is based on a pre-trained [GPT-2](https://huggingface.co/gpt2) which is fine-tuned on @empressrandom's tweets.
Hyperparameters and metrics are recorded in the [W&B training run](https://wandb.ai/wandb/huggingtweets/runs/h29snzrp) for full transparency and reproducibility.
At the end of training, [the final model](https://wandb.ai/wandb/huggingtweets/runs/h29snzrp/artifacts) is logged and versioned.
## How to use
You can use this model directly with a pipeline for text generation:
```python
from transformers import pipeline
generator = pipeline('text-generation',
model='huggingtweets/empressrandom')
generator("My dream is", num_return_sequences=5)
```
## Limitations and bias
The model suffers from [the same limitations and bias as GPT-2](https://huggingface.co/gpt2#limitations-and-bias).
In addition, the data present in the user's tweets further affects the text generated by the model.
## About
*Built by Boris Dayma*
[](https://twitter.com/intent/follow?screen_name=borisdayma)
For more details, visit the project repository.
[](https://github.com/borisdayma/huggingtweets)
|
huggingtweets/punk4156 | huggingtweets | 2021-12-13T22:42:15Z | 4 | 0 | transformers | [
"transformers",
"pytorch",
"gpt2",
"text-generation",
"huggingtweets",
"en",
"autotrain_compatible",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | text-generation | 2022-03-02T23:29:05Z | ---
language: en
thumbnail: http://www.huggingtweets.com/punk4156/1639435330741/predictions.png
tags:
- huggingtweets
widget:
- text: "My dream is"
---
<div class="inline-flex flex-col" style="line-height: 1.5;">
<div class="flex">
<div
style="display:inherit; margin-left: 4px; margin-right: 4px; width: 92px; height:92px; border-radius: 50%; background-size: cover; background-image: url('https://pbs.twimg.com/profile_images/1468633623922368516/wRptFCHW_400x400.jpg')">
</div>
<div
style="display:none; margin-left: 4px; margin-right: 4px; width: 92px; height:92px; border-radius: 50%; background-size: cover; background-image: url('')">
</div>
<div
style="display:none; margin-left: 4px; margin-right: 4px; width: 92px; height:92px; border-radius: 50%; background-size: cover; background-image: url('')">
</div>
</div>
<div style="text-align: center; margin-top: 3px; font-size: 16px; font-weight: 800">🤖 AI BOT 🤖</div>
<div style="text-align: center; font-size: 16px; font-weight: 800">4156</div>
<div style="text-align: center; font-size: 14px;">@punk4156</div>
</div>
I was made with [huggingtweets](https://github.com/borisdayma/huggingtweets).
Create your own bot based on your favorite user with [the demo](https://colab.research.google.com/github/borisdayma/huggingtweets/blob/master/huggingtweets-demo.ipynb)!
## How does it work?
The model uses the following pipeline.
To understand how the model was developed, check the [W&B report](https://wandb.ai/wandb/huggingtweets/reports/HuggingTweets-Train-a-Model-to-Generate-Tweets--VmlldzoxMTY5MjI).
## Training data
The model was trained on tweets from 4156.
| Data | 4156 |
| --- | --- |
| Tweets downloaded | 3249 |
| Retweets | 627 |
| Short tweets | 523 |
| Tweets kept | 2099 |
[Explore the data](https://wandb.ai/wandb/huggingtweets/runs/1x7ge00q/artifacts), which is tracked with [W&B artifacts](https://docs.wandb.com/artifacts) at every step of the pipeline.
## Training procedure
The model is based on a pre-trained [GPT-2](https://huggingface.co/gpt2) which is fine-tuned on @punk4156's tweets.
Hyperparameters and metrics are recorded in the [W&B training run](https://wandb.ai/wandb/huggingtweets/runs/jr4fidjd) for full transparency and reproducibility.
At the end of training, [the final model](https://wandb.ai/wandb/huggingtweets/runs/jr4fidjd/artifacts) is logged and versioned.
## How to use
You can use this model directly with a pipeline for text generation:
```python
from transformers import pipeline
generator = pipeline('text-generation',
model='huggingtweets/punk4156')
generator("My dream is", num_return_sequences=5)
```
## Limitations and bias
The model suffers from [the same limitations and bias as GPT-2](https://huggingface.co/gpt2#limitations-and-bias).
In addition, the data present in the user's tweets further affects the text generated by the model.
## About
*Built by Boris Dayma*
[](https://twitter.com/intent/follow?screen_name=borisdayma)
For more details, visit the project repository.
[](https://github.com/borisdayma/huggingtweets)
|
aXhyra/demo_sentiment_42 | aXhyra | 2021-12-13T22:41:49Z | 5 | 0 | transformers | [
"transformers",
"pytorch",
"distilbert",
"text-classification",
"generated_from_trainer",
"dataset:tweet_eval",
"license:apache-2.0",
"model-index",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | text-classification | 2022-03-02T23:29:05Z | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- tweet_eval
metrics:
- f1
model-index:
- name: demo_sentiment_42
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: tweet_eval
type: tweet_eval
args: sentiment
metrics:
- name: F1
type: f1
value: 0.7113620044371958
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# demo_sentiment_42
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the tweet_eval dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6332
- F1: 0.7114
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 8.62486660723695e-06
- train_batch_size: 64
- eval_batch_size: 64
- seed: 0
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4
### Training results
| Training Loss | Epoch | Step | Validation Loss | F1 |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 0.7592 | 1.0 | 713 | 0.6509 | 0.6834 |
| 0.6389 | 2.0 | 1426 | 0.6318 | 0.7011 |
| 0.5647 | 3.0 | 2139 | 0.6320 | 0.7041 |
| 0.5391 | 4.0 | 2852 | 0.6332 | 0.7114 |
### Framework versions
- Transformers 4.12.5
- Pytorch 1.9.1
- Datasets 1.16.1
- Tokenizers 0.10.3
|
Jeska/BertjeWDialDataALLQonly09 | Jeska | 2021-12-13T22:05:20Z | 10 | 0 | transformers | [
"transformers",
"pytorch",
"tensorboard",
"bert",
"fill-mask",
"generated_from_trainer",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | fill-mask | 2022-03-02T23:29:04Z | ---
tags:
- generated_from_trainer
model-index:
- name: BertjeWDialDataALLQonly09
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# BertjeWDialDataALLQonly09
This model is a fine-tuned version of [GroNLP/bert-base-dutch-cased](https://huggingface.co/GroNLP/bert-base-dutch-cased) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.9043
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 12.0
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 2.2439 | 1.0 | 871 | 2.1102 |
| 2.1235 | 2.0 | 1742 | 2.0785 |
| 2.0709 | 3.0 | 2613 | 2.0689 |
| 2.0033 | 4.0 | 3484 | 2.0565 |
| 1.9386 | 5.0 | 4355 | 2.0290 |
| 1.8909 | 6.0 | 5226 | 2.0366 |
| 1.8449 | 7.0 | 6097 | 1.9809 |
| 1.8078 | 8.0 | 6968 | 2.0177 |
| 1.7709 | 9.0 | 7839 | 2.0289 |
| 1.7516 | 10.0 | 8710 | 1.9645 |
| 1.7354 | 11.0 | 9581 | 1.9810 |
| 1.7073 | 12.0 | 10452 | 1.9631 |
### Framework versions
- Transformers 4.13.0.dev0
- Pytorch 1.10.0
- Datasets 1.16.1
- Tokenizers 0.10.3
|
huggingtweets/detnewsopinion | huggingtweets | 2021-12-13T22:00:29Z | 4 | 0 | transformers | [
"transformers",
"pytorch",
"gpt2",
"text-generation",
"huggingtweets",
"en",
"autotrain_compatible",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | text-generation | 2022-03-02T23:29:05Z | ---
language: en
thumbnail: http://www.huggingtweets.com/detnewsopinion/1639432824211/predictions.png
tags:
- huggingtweets
widget:
- text: "My dream is"
---
<div class="inline-flex flex-col" style="line-height: 1.5;">
<div class="flex">
<div
style="display:inherit; margin-left: 4px; margin-right: 4px; width: 92px; height:92px; border-radius: 50%; background-size: cover; background-image: url('https://pbs.twimg.com/profile_images/2096229264/tdn_stacked_onblack_400x400.jpg')">
</div>
<div
style="display:none; margin-left: 4px; margin-right: 4px; width: 92px; height:92px; border-radius: 50%; background-size: cover; background-image: url('')">
</div>
<div
style="display:none; margin-left: 4px; margin-right: 4px; width: 92px; height:92px; border-radius: 50%; background-size: cover; background-image: url('')">
</div>
</div>
<div style="text-align: center; margin-top: 3px; font-size: 16px; font-weight: 800">🤖 AI BOT 🤖</div>
<div style="text-align: center; font-size: 16px; font-weight: 800">Detroit News Opinion</div>
<div style="text-align: center; font-size: 14px;">@detnewsopinion</div>
</div>
I was made with [huggingtweets](https://github.com/borisdayma/huggingtweets).
Create your own bot based on your favorite user with [the demo](https://colab.research.google.com/github/borisdayma/huggingtweets/blob/master/huggingtweets-demo.ipynb)!
## How does it work?
The model uses the following pipeline.
To understand how the model was developed, check the [W&B report](https://wandb.ai/wandb/huggingtweets/reports/HuggingTweets-Train-a-Model-to-Generate-Tweets--VmlldzoxMTY5MjI).
## Training data
The model was trained on tweets from Detroit News Opinion.
| Data | Detroit News Opinion |
| --- | --- |
| Tweets downloaded | 3250 |
| Retweets | 527 |
| Short tweets | 0 |
| Tweets kept | 2723 |
[Explore the data](https://wandb.ai/wandb/huggingtweets/runs/gpe3yyem/artifacts), which is tracked with [W&B artifacts](https://docs.wandb.com/artifacts) at every step of the pipeline.
## Training procedure
The model is based on a pre-trained [GPT-2](https://huggingface.co/gpt2) which is fine-tuned on @detnewsopinion's tweets.
Hyperparameters and metrics are recorded in the [W&B training run](https://wandb.ai/wandb/huggingtweets/runs/zezrwsaf) for full transparency and reproducibility.
At the end of training, [the final model](https://wandb.ai/wandb/huggingtweets/runs/zezrwsaf/artifacts) is logged and versioned.
## How to use
You can use this model directly with a pipeline for text generation:
```python
from transformers import pipeline
generator = pipeline('text-generation',
model='huggingtweets/detnewsopinion')
generator("My dream is", num_return_sequences=5)
```
## Limitations and bias
The model suffers from [the same limitations and bias as GPT-2](https://huggingface.co/gpt2#limitations-and-bias).
In addition, the data present in the user's tweets further affects the text generated by the model.
## About
*Built by Boris Dayma*
[](https://twitter.com/intent/follow?screen_name=borisdayma)
For more details, visit the project repository.
[](https://github.com/borisdayma/huggingtweets)
|
jordanhagan/DialoGPT-medium-NegaNetizen | jordanhagan | 2021-12-13T21:38:57Z | 4 | 0 | transformers | [
"transformers",
"pytorch",
"gpt2",
"text-generation",
"conversational",
"en",
"autotrain_compatible",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | text-generation | 2022-03-02T23:29:05Z | ---
language:
- en # Example: fr
tags:
- conversational # Example: audio
- gpt2 # Example: automatic-speech-recognition
datasets:
- Discord transcripts
---
### About NegaNetizen
Trained on conversations from a friend for use within their discord server.
### How to use
```python
from transformers import AutoModelForCausalLM, AutoTokenizer
import torch
tokenizer = AutoTokenizer.from_pretrained("microsoft/DialoGPT-medium")
model = AutoModelForCausalLM.from_pretrained('jordanhagan/DialoGPT-medium-NegaNetizen')
# Let's chat for 5 lines
for step in range(5):
new_user_input_ids = tokenizer.encode(input(">> User:") + tokenizer.eos_token, return_tensors='pt')
# append the new user input tokens to the chat history
bot_input_ids = torch.cat([chat_history_ids, new_user_input_ids], dim=-1) if step > 0 else new_user_input_ids
# generated a response while limiting the total chat history to 1000 tokens,
chat_history_ids = model.generate(
bot_input_ids, max_length=200,
pad_token_id=tokenizer.eos_token_id,
no_repeat_ngram_size=3,
do_sample=True,
top_k=100,
top_p=0.7,
temperature=0.8
)
# pretty print last ouput tokens from bot
print("NNR: {}".format(tokenizer.decode(chat_history_ids[:, bot_input_ids.shape[-1]:][0], skip_special_tokens=True)))
```
|
aXhyra/demo_hate_1234567 | aXhyra | 2021-12-13T19:21:09Z | 5 | 0 | transformers | [
"transformers",
"pytorch",
"distilbert",
"text-classification",
"generated_from_trainer",
"dataset:tweet_eval",
"license:apache-2.0",
"model-index",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | text-classification | 2022-03-02T23:29:05Z | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- tweet_eval
metrics:
- f1
model-index:
- name: demo_hate_1234567
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: tweet_eval
type: tweet_eval
args: hate
metrics:
- name: F1
type: f1
value: 0.7772939485986298
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# demo_hate_1234567
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the tweet_eval dataset.
It achieves the following results on the evaluation set:
- Loss: 0.8697
- F1: 0.7773
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 7.320702985778492e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 0
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4
### Training results
| Training Loss | Epoch | Step | Validation Loss | F1 |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| No log | 1.0 | 282 | 0.4850 | 0.7645 |
| 0.3877 | 2.0 | 564 | 0.5160 | 0.7856 |
| 0.3877 | 3.0 | 846 | 0.6927 | 0.7802 |
| 0.1343 | 4.0 | 1128 | 0.8697 | 0.7773 |
### Framework versions
- Transformers 4.12.5
- Pytorch 1.9.1
- Datasets 1.16.1
- Tokenizers 0.10.3
|
aXhyra/demo_hate_31415 | aXhyra | 2021-12-13T19:15:19Z | 5 | 0 | transformers | [
"transformers",
"pytorch",
"distilbert",
"text-classification",
"generated_from_trainer",
"dataset:tweet_eval",
"license:apache-2.0",
"model-index",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | text-classification | 2022-03-02T23:29:05Z | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- tweet_eval
metrics:
- f1
model-index:
- name: demo_hate_31415
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: tweet_eval
type: tweet_eval
args: hate
metrics:
- name: F1
type: f1
value: 0.7772939485986298
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# demo_hate_31415
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the tweet_eval dataset.
It achieves the following results on the evaluation set:
- Loss: 0.8697
- F1: 0.7773
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 7.320702985778492e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 0
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4
### Training results
| Training Loss | Epoch | Step | Validation Loss | F1 |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| No log | 1.0 | 282 | 0.4850 | 0.7645 |
| 0.3877 | 2.0 | 564 | 0.5160 | 0.7856 |
| 0.3877 | 3.0 | 846 | 0.6927 | 0.7802 |
| 0.1343 | 4.0 | 1128 | 0.8697 | 0.7773 |
### Framework versions
- Transformers 4.12.5
- Pytorch 1.9.1
- Datasets 1.16.1
- Tokenizers 0.10.3
|
aXhyra/demo_irony_1234567 | aXhyra | 2021-12-13T17:57:42Z | 5 | 0 | transformers | [
"transformers",
"pytorch",
"distilbert",
"text-classification",
"generated_from_trainer",
"dataset:tweet_eval",
"license:apache-2.0",
"model-index",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | text-classification | 2022-03-02T23:29:05Z | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- tweet_eval
metrics:
- f1
model-index:
- name: demo_irony_1234567
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: tweet_eval
type: tweet_eval
args: irony
metrics:
- name: F1
type: f1
value: 0.685764300192161
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# demo_irony_1234567
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the tweet_eval dataset.
It achieves the following results on the evaluation set:
- Loss: 1.2905
- F1: 0.6858
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 2.7735294032820418e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 0
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4
### Training results
| Training Loss | Epoch | Step | Validation Loss | F1 |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| No log | 1.0 | 358 | 0.5872 | 0.6786 |
| 0.5869 | 2.0 | 716 | 0.6884 | 0.6952 |
| 0.3417 | 3.0 | 1074 | 0.9824 | 0.6995 |
| 0.3417 | 4.0 | 1432 | 1.2905 | 0.6858 |
### Framework versions
- Transformers 4.12.5
- Pytorch 1.9.1
- Datasets 1.16.1
- Tokenizers 0.10.3
|
huggingtweets/floristree92 | huggingtweets | 2021-12-13T17:11:06Z | 3 | 0 | transformers | [
"transformers",
"pytorch",
"gpt2",
"text-generation",
"huggingtweets",
"en",
"autotrain_compatible",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | text-generation | 2022-03-02T23:29:05Z | ---
language: en
thumbnail: http://www.huggingtweets.com/floristree92/1639415459410/predictions.png
tags:
- huggingtweets
widget:
- text: "My dream is"
---
<div class="inline-flex flex-col" style="line-height: 1.5;">
<div class="flex">
<div
style="display:inherit; margin-left: 4px; margin-right: 4px; width: 92px; height:92px; border-radius: 50%; background-size: cover; background-image: url('https://pbs.twimg.com/profile_images/1427988024646717441/3WW-7dhn_400x400.jpg')">
</div>
<div
style="display:none; margin-left: 4px; margin-right: 4px; width: 92px; height:92px; border-radius: 50%; background-size: cover; background-image: url('')">
</div>
<div
style="display:none; margin-left: 4px; margin-right: 4px; width: 92px; height:92px; border-radius: 50%; background-size: cover; background-image: url('')">
</div>
</div>
<div style="text-align: center; margin-top: 3px; font-size: 16px; font-weight: 800">🤖 AI BOT 🤖</div>
<div style="text-align: center; font-size: 16px; font-weight: 800">tea and oranges</div>
<div style="text-align: center; font-size: 14px;">@floristree92</div>
</div>
I was made with [huggingtweets](https://github.com/borisdayma/huggingtweets).
Create your own bot based on your favorite user with [the demo](https://colab.research.google.com/github/borisdayma/huggingtweets/blob/master/huggingtweets-demo.ipynb)!
## How does it work?
The model uses the following pipeline.
To understand how the model was developed, check the [W&B report](https://wandb.ai/wandb/huggingtweets/reports/HuggingTweets-Train-a-Model-to-Generate-Tweets--VmlldzoxMTY5MjI).
## Training data
The model was trained on tweets from tea and oranges.
| Data | tea and oranges |
| --- | --- |
| Tweets downloaded | 2510 |
| Retweets | 1363 |
| Short tweets | 109 |
| Tweets kept | 1038 |
[Explore the data](https://wandb.ai/wandb/huggingtweets/runs/2fuokdip/artifacts), which is tracked with [W&B artifacts](https://docs.wandb.com/artifacts) at every step of the pipeline.
## Training procedure
The model is based on a pre-trained [GPT-2](https://huggingface.co/gpt2) which is fine-tuned on @floristree92's tweets.
Hyperparameters and metrics are recorded in the [W&B training run](https://wandb.ai/wandb/huggingtweets/runs/1e0xd79p) for full transparency and reproducibility.
At the end of training, [the final model](https://wandb.ai/wandb/huggingtweets/runs/1e0xd79p/artifacts) is logged and versioned.
## How to use
You can use this model directly with a pipeline for text generation:
```python
from transformers import pipeline
generator = pipeline('text-generation',
model='huggingtweets/floristree92')
generator("My dream is", num_return_sequences=5)
```
## Limitations and bias
The model suffers from [the same limitations and bias as GPT-2](https://huggingface.co/gpt2#limitations-and-bias).
In addition, the data present in the user's tweets further affects the text generated by the model.
## About
*Built by Boris Dayma*
[](https://twitter.com/intent/follow?screen_name=borisdayma)
For more details, visit the project repository.
[](https://github.com/borisdayma/huggingtweets)
|
huggingtweets/yeetgenstein | huggingtweets | 2021-12-13T16:31:26Z | 3 | 0 | transformers | [
"transformers",
"pytorch",
"gpt2",
"text-generation",
"huggingtweets",
"en",
"autotrain_compatible",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | text-generation | 2022-03-02T23:29:05Z | ---
language: en
thumbnail: http://www.huggingtweets.com/yeetgenstein/1639413081074/predictions.png
tags:
- huggingtweets
widget:
- text: "My dream is"
---
<div class="inline-flex flex-col" style="line-height: 1.5;">
<div class="flex">
<div
style="display:inherit; margin-left: 4px; margin-right: 4px; width: 92px; height:92px; border-radius: 50%; background-size: cover; background-image: url('https://pbs.twimg.com/profile_images/1198233166399647744/6UjqTBIT_400x400.jpg')">
</div>
<div
style="display:none; margin-left: 4px; margin-right: 4px; width: 92px; height:92px; border-radius: 50%; background-size: cover; background-image: url('')">
</div>
<div
style="display:none; margin-left: 4px; margin-right: 4px; width: 92px; height:92px; border-radius: 50%; background-size: cover; background-image: url('')">
</div>
</div>
<div style="text-align: center; margin-top: 3px; font-size: 16px; font-weight: 800">🤖 AI BOT 🤖</div>
<div style="text-align: center; font-size: 16px; font-weight: 800">Ludwig Yeetgenstein</div>
<div style="text-align: center; font-size: 14px;">@yeetgenstein</div>
</div>
I was made with [huggingtweets](https://github.com/borisdayma/huggingtweets).
Create your own bot based on your favorite user with [the demo](https://colab.research.google.com/github/borisdayma/huggingtweets/blob/master/huggingtweets-demo.ipynb)!
## How does it work?
The model uses the following pipeline.
To understand how the model was developed, check the [W&B report](https://wandb.ai/wandb/huggingtweets/reports/HuggingTweets-Train-a-Model-to-Generate-Tweets--VmlldzoxMTY5MjI).
## Training data
The model was trained on tweets from Ludwig Yeetgenstein.
| Data | Ludwig Yeetgenstein |
| --- | --- |
| Tweets downloaded | 3237 |
| Retweets | 218 |
| Short tweets | 367 |
| Tweets kept | 2652 |
[Explore the data](https://wandb.ai/wandb/huggingtweets/runs/27hq0lqc/artifacts), which is tracked with [W&B artifacts](https://docs.wandb.com/artifacts) at every step of the pipeline.
## Training procedure
The model is based on a pre-trained [GPT-2](https://huggingface.co/gpt2) which is fine-tuned on @yeetgenstein's tweets.
Hyperparameters and metrics are recorded in the [W&B training run](https://wandb.ai/wandb/huggingtweets/runs/1aykas3j) for full transparency and reproducibility.
At the end of training, [the final model](https://wandb.ai/wandb/huggingtweets/runs/1aykas3j/artifacts) is logged and versioned.
## How to use
You can use this model directly with a pipeline for text generation:
```python
from transformers import pipeline
generator = pipeline('text-generation',
model='huggingtweets/yeetgenstein')
generator("My dream is", num_return_sequences=5)
```
## Limitations and bias
The model suffers from [the same limitations and bias as GPT-2](https://huggingface.co/gpt2#limitations-and-bias).
In addition, the data present in the user's tweets further affects the text generated by the model.
## About
*Built by Boris Dayma*
[](https://twitter.com/intent/follow?screen_name=borisdayma)
For more details, visit the project repository.
[](https://github.com/borisdayma/huggingtweets)
|
Ayham/robertagpt2_xsum4 | Ayham | 2021-12-13T12:46:02Z | 5 | 0 | transformers | [
"transformers",
"pytorch",
"tensorboard",
"encoder-decoder",
"text2text-generation",
"generated_from_trainer",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | text2text-generation | 2022-03-02T23:29:04Z | ---
tags:
- generated_from_trainer
model-index:
- name: robertagpt2_xsum4
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# robertagpt2_xsum4
This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 2000
- num_epochs: 3.0
- mixed_precision_training: Native AMP
### Training results
### Framework versions
- Transformers 4.13.0
- Pytorch 1.10.0+cu111
- Datasets 1.16.1
- Tokenizers 0.10.3
|
jery33/distilbert-base-uncased-finetuned-cola | jery33 | 2021-12-13T12:09:54Z | 4 | 0 | transformers | [
"transformers",
"pytorch",
"tensorboard",
"distilbert",
"text-classification",
"generated_from_trainer",
"dataset:glue",
"license:apache-2.0",
"model-index",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | text-classification | 2022-03-02T23:29:05Z | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- glue
metrics:
- matthews_correlation
model-index:
- name: distilbert-base-uncased-finetuned-cola
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: glue
type: glue
args: cola
metrics:
- name: Matthews Correlation
type: matthews_correlation
value: 0.5373281885173845
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# distilbert-base-uncased-finetuned-cola
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the glue dataset.
It achieves the following results on the evaluation set:
- Loss: 0.7637
- Matthews Correlation: 0.5373
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
### Training results
| Training Loss | Epoch | Step | Validation Loss | Matthews Correlation |
|:-------------:|:-----:|:----:|:---------------:|:--------------------:|
| 0.5306 | 1.0 | 535 | 0.5156 | 0.4063 |
| 0.3524 | 2.0 | 1070 | 0.5249 | 0.5207 |
| 0.2417 | 3.0 | 1605 | 0.6514 | 0.5029 |
| 0.1762 | 4.0 | 2140 | 0.7637 | 0.5373 |
| 0.1252 | 5.0 | 2675 | 0.8746 | 0.5291 |
### Framework versions
- Transformers 4.13.0
- Pytorch 1.10.0+cu111
- Datasets 1.16.1
- Tokenizers 0.10.3
|
Evgeneus/distilbert-base-uncased-finetuned-ner | Evgeneus | 2021-12-13T11:57:39Z | 5 | 0 | transformers | [
"transformers",
"pytorch",
"tensorboard",
"distilbert",
"token-classification",
"generated_from_trainer",
"dataset:conll2003",
"license:apache-2.0",
"model-index",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | token-classification | 2022-03-02T23:29:04Z | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- conll2003
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: distilbert-base-uncased-finetuned-ner
results:
- task:
name: Token Classification
type: token-classification
dataset:
name: conll2003
type: conll2003
args: conll2003
metrics:
- name: Precision
type: precision
value: 0.875445994161531
- name: Recall
type: recall
value: 0.9058060185703098
- name: F1
type: f1
value: 0.8903672751264571
- name: Accuracy
type: accuracy
value: 0.9763292928971993
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# distilbert-base-uncased-finetuned-ner
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the conll2003 dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0845
- Precision: 0.8754
- Recall: 0.9058
- F1: 0.8904
- Accuracy: 0.9763
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1
### Training results
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
| 0.2529 | 1.0 | 878 | 0.0845 | 0.8754 | 0.9058 | 0.8904 | 0.9763 |
### Framework versions
- Transformers 4.13.0
- Pytorch 1.10.0+cu111
- Datasets 1.16.1
- Tokenizers 0.10.3
|
MoritzLaurer/MiniLM-L6-mnli-binary | MoritzLaurer | 2021-12-13T10:37:22Z | 5 | 1 | transformers | [
"transformers",
"pytorch",
"bert",
"text-classification",
"zero-shot-classification",
"en",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | text-classification | 2022-03-02T23:29:04Z | ---
language:
- en
tags:
- text-classification
- zero-shot-classification
metrics:
- accuracy
widget:
- text: "I liked the movie. [SEP] The movie was good."
---
# MiniLM-L6-mnli-binary
## Model description
This model was trained on the [MultiNLI](https://huggingface.co/datasets/multi_nli) dataset. The model was trained for binary NLI, which means that the "neutral" and "contradiction" classes were merged into one class. The model therefore predicts "entailment" or "not_entailment".
The base model is MiniLM-L6 from Microsoft, which is very fast, but a bit less accurate than other models.
## Intended uses & limitations
#### How to use the model
```python
from transformers import AutoTokenizer, AutoModelForSequenceClassification
import torch
model_name = "MoritzLaurer/MiniLM-L6-mnli-binary"
tokenizer = AutoTokenizer.from_pretrained(model_name)
model = AutoModelForSequenceClassification.from_pretrained(model_name)
premise = "I liked the movie"
hypothesis = "The movie was good."
input = tokenizer(premise, hypothesis, truncation=True, return_tensors="pt")
output = model(input["input_ids"].to(device)) # device = "cuda:0" or "cpu"
prediction = torch.softmax(output["logits"][0], -1).tolist()
label_names = ["entailment", "not_entailment"]
prediction = {name: round(float(pred) * 100, 1) for pred, name in zip(prediction, label_names)}
print(prediction)
```
### Training data
[MultiNLI](https://huggingface.co/datasets/multi_nli).
### Training procedure
MiniLM-L6-mnli-binary was trained using the Hugging Face trainer with the following hyperparameters.
```
training_args = TrainingArguments(
num_train_epochs=5, # total number of training epochs
learning_rate=2e-05,
per_device_train_batch_size=32, # batch size per device during training
per_device_eval_batch_size=32, # batch size for evaluation
warmup_ratio=0.1, # number of warmup steps for learning rate scheduler
weight_decay=0.06, # strength of weight decay
fp16=True # mixed precision training
)
```
### Eval results
The model was evaluated using the binary (matched) test set from MultiNLI. Accuracy: 0.886
## Limitations and bias
Please consult the original MiniLM paper and literature on different NLI datasets for potential biases.
### BibTeX entry and citation info
If you want to cite this model, please cite the original MiniLM paper, the respective NLI datasets and include a link to this model on the Hugging Face hub. |
MoritzLaurer/MiniLM-L6-mnli | MoritzLaurer | 2021-12-13T10:36:43Z | 6,095 | 0 | transformers | [
"transformers",
"pytorch",
"bert",
"text-classification",
"zero-shot-classification",
"en",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | text-classification | 2022-03-02T23:29:04Z | ---
language:
- en
tags:
- text-classification
- zero-shot-classification
metrics:
- accuracy
widget:
- text: "I liked the movie. [SEP] The movie was good."
---
# MiniLM-L6-mnli
## Model description
This model was trained on the [MultiNLI](https://huggingface.co/datasets/multi_nli) dataset.
The base model is MiniLM-L6 from Microsoft, which is very fast, but a bit less accurate than other models.
## Intended uses & limitations
#### How to use the model
```python
from transformers import AutoTokenizer, AutoModelForSequenceClassification
import torch
model_name = "MoritzLaurer/MiniLM-L6-mnli"
tokenizer = AutoTokenizer.from_pretrained(model_name)
model = AutoModelForSequenceClassification.from_pretrained(model_name)
premise = "I liked the movie"
hypothesis = "The movie was good."
input = tokenizer(premise, hypothesis, truncation=True, return_tensors="pt")
output = model(input["input_ids"].to(device)) # device = "cuda:0" or "cpu"
prediction = torch.softmax(output["logits"][0], -1).tolist()
label_names = ["entailment", "neutral", "contradiction"]
prediction = {name: round(float(pred) * 100, 1) for pred, name in zip(prediction, label_names)}
print(prediction)
```
### Training data
[MultiNLI](https://huggingface.co/datasets/multi_nli).
### Training procedure
MiniLM-L6-mnli-binary was trained using the Hugging Face trainer with the following hyperparameters.
```
training_args = TrainingArguments(
num_train_epochs=5, # total number of training epochs
learning_rate=2e-05,
per_device_train_batch_size=32, # batch size per device during training
per_device_eval_batch_size=32, # batch size for evaluation
warmup_ratio=0.1, # number of warmup steps for learning rate scheduler
weight_decay=0.06, # strength of weight decay
fp16=True # mixed precision training
)
```
### Eval results
The model was evaluated using the (matched) test set from MultiNLI. Accuracy: 0.814
## Limitations and bias
Please consult the original MiniLM paper and literature on different NLI datasets for potential biases.
### BibTeX entry and citation info
If you want to cite this model, please cite the original MiniLM paper, the respective NLI datasets and include a link to this model on the Hugging Face hub. |
huggingtweets/nihilist_arbys | huggingtweets | 2021-12-13T08:22:36Z | 3 | 0 | transformers | [
"transformers",
"pytorch",
"gpt2",
"text-generation",
"huggingtweets",
"en",
"autotrain_compatible",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | text-generation | 2022-03-02T23:29:05Z | ---
language: en
thumbnail: http://www.huggingtweets.com/nihilist_arbys/1639383752402/predictions.png
tags:
- huggingtweets
widget:
- text: "My dream is"
---
<div class="inline-flex flex-col" style="line-height: 1.5;">
<div class="flex">
<div
style="display:inherit; margin-left: 4px; margin-right: 4px; width: 92px; height:92px; border-radius: 50%; background-size: cover; background-image: url('https://pbs.twimg.com/profile_images/999816064459395073/PLcvH-LJ_400x400.jpg')">
</div>
<div
style="display:none; margin-left: 4px; margin-right: 4px; width: 92px; height:92px; border-radius: 50%; background-size: cover; background-image: url('')">
</div>
<div
style="display:none; margin-left: 4px; margin-right: 4px; width: 92px; height:92px; border-radius: 50%; background-size: cover; background-image: url('')">
</div>
</div>
<div style="text-align: center; margin-top: 3px; font-size: 16px; font-weight: 800">🤖 AI BOT 🤖</div>
<div style="text-align: center; font-size: 16px; font-weight: 800">Nihilist Arby's</div>
<div style="text-align: center; font-size: 14px;">@nihilist_arbys</div>
</div>
I was made with [huggingtweets](https://github.com/borisdayma/huggingtweets).
Create your own bot based on your favorite user with [the demo](https://colab.research.google.com/github/borisdayma/huggingtweets/blob/master/huggingtweets-demo.ipynb)!
## How does it work?
The model uses the following pipeline.
To understand how the model was developed, check the [W&B report](https://wandb.ai/wandb/huggingtweets/reports/HuggingTweets-Train-a-Model-to-Generate-Tweets--VmlldzoxMTY5MjI).
## Training data
The model was trained on tweets from Nihilist Arby's.
| Data | Nihilist Arby's |
| --- | --- |
| Tweets downloaded | 889 |
| Retweets | 1 |
| Short tweets | 4 |
| Tweets kept | 884 |
[Explore the data](https://wandb.ai/wandb/huggingtweets/runs/5qsinwje/artifacts), which is tracked with [W&B artifacts](https://docs.wandb.com/artifacts) at every step of the pipeline.
## Training procedure
The model is based on a pre-trained [GPT-2](https://huggingface.co/gpt2) which is fine-tuned on @nihilist_arbys's tweets.
Hyperparameters and metrics are recorded in the [W&B training run](https://wandb.ai/wandb/huggingtweets/runs/cb7ycvb8) for full transparency and reproducibility.
At the end of training, [the final model](https://wandb.ai/wandb/huggingtweets/runs/cb7ycvb8/artifacts) is logged and versioned.
## How to use
You can use this model directly with a pipeline for text generation:
```python
from transformers import pipeline
generator = pipeline('text-generation',
model='huggingtweets/nihilist_arbys')
generator("My dream is", num_return_sequences=5)
```
## Limitations and bias
The model suffers from [the same limitations and bias as GPT-2](https://huggingface.co/gpt2#limitations-and-bias).
In addition, the data present in the user's tweets further affects the text generated by the model.
## About
*Built by Boris Dayma*
[](https://twitter.com/intent/follow?screen_name=borisdayma)
For more details, visit the project repository.
[](https://github.com/borisdayma/huggingtweets)
|
M-FAC/bert-mini-finetuned-stsb | M-FAC | 2021-12-13T08:17:27Z | 6 | 1 | transformers | [
"transformers",
"pytorch",
"bert",
"text-classification",
"arxiv:2107.03356",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | text-classification | 2022-03-02T23:29:04Z | # BERT-mini model finetuned with M-FAC
This model is finetuned on STS-B dataset with state-of-the-art second-order optimizer M-FAC.
Check NeurIPS 2021 paper for more details on M-FAC: [https://arxiv.org/pdf/2107.03356.pdf](https://arxiv.org/pdf/2107.03356.pdf).
## Finetuning setup
For fair comparison against default Adam baseline, we finetune the model in the same framework as described here [https://github.com/huggingface/transformers/tree/master/examples/pytorch/text-classification](https://github.com/huggingface/transformers/tree/master/examples/pytorch/text-classification) and just swap Adam optimizer with M-FAC.
Hyperparameters used by M-FAC optimizer:
```bash
learning rate = 1e-4
number of gradients = 512
dampening = 1e-6
```
## Results
We share the best model out of 5 runs with the following score on STS-B validation set:
```bash
pearson = 85.03
spearman = 85.06
```
Mean and standard deviation for 5 runs on STS-B validation set:
| | Pearson | Spearman |
|:----:|:-----------:|:----------:|
| Adam | 82.09 ± 0.54 | 82.64 ± 0.71 |
| M-FAC | 84.66 ± 0.30 | 84.65 ± 0.30 |
Results can be reproduced by adding M-FAC optimizer code in [https://github.com/huggingface/transformers/blob/master/examples/pytorch/text-classification/run_glue.py](https://github.com/huggingface/transformers/blob/master/examples/pytorch/text-classification/run_glue.py) and running the following bash script:
```bash
CUDA_VISIBLE_DEVICES=0 python run_glue.py \
--seed 7 \
--model_name_or_path prajjwal1/bert-mini \
--task_name stsb \
--do_train \
--do_eval \
--max_seq_length 128 \
--per_device_train_batch_size 32 \
--learning_rate 1e-4 \
--num_train_epochs 5 \
--output_dir out_dir/ \
--optim MFAC \
--optim_args '{"lr": 1e-4, "num_grads": 512, "damp": 1e-6}'
```
We believe these results could be improved with modest tuning of hyperparameters: `per_device_train_batch_size`, `learning_rate`, `num_train_epochs`, `num_grads` and `damp`. For the sake of fair comparison and a robust default setup we use the same hyperparameters across all models (`bert-tiny`, `bert-mini`) and all datasets (SQuAD version 2 and GLUE).
Our code for M-FAC can be found here: [https://github.com/IST-DASLab/M-FAC](https://github.com/IST-DASLab/M-FAC).
A step-by-step tutorial on how to integrate and use M-FAC with any repository can be found here: [https://github.com/IST-DASLab/M-FAC/tree/master/tutorials](https://github.com/IST-DASLab/M-FAC/tree/master/tutorials).
## BibTeX entry and citation info
```bibtex
@article{frantar2021m,
title={M-FAC: Efficient Matrix-Free Approximations of Second-Order Information},
author={Frantar, Elias and Kurtic, Eldar and Alistarh, Dan},
journal={Advances in Neural Information Processing Systems},
volume={35},
year={2021}
}
```
|
M-FAC/bert-mini-finetuned-qnli | M-FAC | 2021-12-13T08:16:16Z | 3 | 0 | transformers | [
"transformers",
"pytorch",
"bert",
"text-classification",
"arxiv:2107.03356",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | text-classification | 2022-03-02T23:29:04Z | # BERT-mini model finetuned with M-FAC
This model is finetuned on QNLI dataset with state-of-the-art second-order optimizer M-FAC.
Check NeurIPS 2021 paper for more details on M-FAC: [https://arxiv.org/pdf/2107.03356.pdf](https://arxiv.org/pdf/2107.03356.pdf).
## Finetuning setup
For fair comparison against default Adam baseline, we finetune the model in the same framework as described here [https://github.com/huggingface/transformers/tree/master/examples/pytorch/text-classification](https://github.com/huggingface/transformers/tree/master/examples/pytorch/text-classification) and just swap Adam optimizer with M-FAC.
Hyperparameters used by M-FAC optimizer:
```bash
learning rate = 1e-4
number of gradients = 1024
dampening = 1e-6
```
## Results
We share the best model out of 5 runs with the following score on QNLI validation set:
```bash
accuracy = 83.90
```
Mean and standard deviation for 5 runs on QNLI validation set:
| | Accuracy |
|:----:|:-----------:|
| Adam | 83.85 ± 0.10 |
| M-FAC | 83.70 ± 0.13 |
Results can be reproduced by adding M-FAC optimizer code in [https://github.com/huggingface/transformers/blob/master/examples/pytorch/text-classification/run_glue.py](https://github.com/huggingface/transformers/blob/master/examples/pytorch/text-classification/run_glue.py) and running the following bash script:
```bash
CUDA_VISIBLE_DEVICES=0 python run_glue.py \
--seed 8276 \
--model_name_or_path prajjwal1/bert-mini \
--task_name qnli \
--do_train \
--do_eval \
--max_seq_length 128 \
--per_device_train_batch_size 32 \
--learning_rate 1e-4 \
--num_train_epochs 5 \
--output_dir out_dir/ \
--optim MFAC \
--optim_args '{"lr": 1e-4, "num_grads": 1024, "damp": 1e-6}'
```
We believe these results could be improved with modest tuning of hyperparameters: `per_device_train_batch_size`, `learning_rate`, `num_train_epochs`, `num_grads` and `damp`. For the sake of fair comparison and a robust default setup we use the same hyperparameters across all models (`bert-tiny`, `bert-mini`) and all datasets (SQuAD version 2 and GLUE).
Our code for M-FAC can be found here: [https://github.com/IST-DASLab/M-FAC](https://github.com/IST-DASLab/M-FAC).
A step-by-step tutorial on how to integrate and use M-FAC with any repository can be found here: [https://github.com/IST-DASLab/M-FAC/tree/master/tutorials](https://github.com/IST-DASLab/M-FAC/tree/master/tutorials).
## BibTeX entry and citation info
```bibtex
@article{frantar2021m,
title={M-FAC: Efficient Matrix-Free Approximations of Second-Order Information},
author={Frantar, Elias and Kurtic, Eldar and Alistarh, Dan},
journal={Advances in Neural Information Processing Systems},
volume={35},
year={2021}
}
```
|
M-FAC/bert-mini-finetuned-mrpc | M-FAC | 2021-12-13T08:15:19Z | 4 | 0 | transformers | [
"transformers",
"pytorch",
"bert",
"text-classification",
"arxiv:2107.03356",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | text-classification | 2022-03-02T23:29:04Z | # BERT-mini model finetuned with M-FAC
This model is finetuned on MRPC dataset with state-of-the-art second-order optimizer M-FAC.
Check NeurIPS 2021 paper for more details on M-FAC: [https://arxiv.org/pdf/2107.03356.pdf](https://arxiv.org/pdf/2107.03356.pdf).
## Finetuning setup
For fair comparison against default Adam baseline, we finetune the model in the same framework as described here [https://github.com/huggingface/transformers/tree/master/examples/pytorch/text-classification](https://github.com/huggingface/transformers/tree/master/examples/pytorch/text-classification) and just swap Adam optimizer with M-FAC.
Hyperparameters used by M-FAC optimizer:
```bash
learning rate = 1e-4
number of gradients = 512
dampening = 1e-6
```
## Results
We share the best model out of 5 runs with the following score on MRPC validation set:
```bash
f1 = 86.51
accuracy = 81.12
```
Mean and standard deviation for 5 runs on MRPC validation set:
| | F1 | Accuracy |
|:----:|:-----------:|:----------:|
| Adam | 84.57 ± 0.36| 76.57 ± 0.80|
| M-FAC | 85.06 ± 1.63 | 78.87 ± 2.33 |
Results can be reproduced by adding M-FAC optimizer code in [https://github.com/huggingface/transformers/blob/master/examples/pytorch/text-classification/run_glue.py](https://github.com/huggingface/transformers/blob/master/examples/pytorch/text-classification/run_glue.py) and running the following bash script:
```bash
CUDA_VISIBLE_DEVICES=0 python run_glue.py \
--seed 1234 \
--model_name_or_path prajjwal1/bert-mini \
--task_name mrpc \
--do_train \
--do_eval \
--max_seq_length 128 \
--per_device_train_batch_size 32 \
--learning_rate 1e-4 \
--num_train_epochs 5 \
--output_dir out_dir/ \
--optim MFAC \
--optim_args '{"lr": 1e-4, "num_grads": 512, "damp": 1e-6}'
```
We believe these results could be improved with modest tuning of hyperparameters: `per_device_train_batch_size`, `learning_rate`, `num_train_epochs`, `num_grads` and `damp`. For the sake of fair comparison and a robust default setup we use the same hyperparameters across all models (`bert-tiny`, `bert-mini`) and all datasets (SQuAD version 2 and GLUE).
Our code for M-FAC can be found here: [https://github.com/IST-DASLab/M-FAC](https://github.com/IST-DASLab/M-FAC).
A step-by-step tutorial on how to integrate and use M-FAC with any repository can be found here: [https://github.com/IST-DASLab/M-FAC/tree/master/tutorials](https://github.com/IST-DASLab/M-FAC/tree/master/tutorials).
## BibTeX entry and citation info
```bibtex
@article{frantar2021m,
title={M-FAC: Efficient Matrix-Free Approximations of Second-Order Information},
author={Frantar, Elias and Kurtic, Eldar and Alistarh, Dan},
journal={Advances in Neural Information Processing Systems},
volume={35},
year={2021}
}
```
|
M-FAC/bert-tiny-finetuned-qqp | M-FAC | 2021-12-13T08:14:56Z | 6 | 0 | transformers | [
"transformers",
"pytorch",
"bert",
"text-classification",
"arxiv:2107.03356",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | text-classification | 2022-03-02T23:29:04Z | # BERT-tiny model finetuned with M-FAC
This model is finetuned on QQP dataset with state-of-the-art second-order optimizer M-FAC.
Check NeurIPS 2021 paper for more details on M-FAC: [https://arxiv.org/pdf/2107.03356.pdf](https://arxiv.org/pdf/2107.03356.pdf).
## Finetuning setup
For fair comparison against default Adam baseline, we finetune the model in the same framework as described here [https://github.com/huggingface/transformers/tree/master/examples/pytorch/text-classification](https://github.com/huggingface/transformers/tree/master/examples/pytorch/text-classification) and just swap Adam optimizer with M-FAC.
Hyperparameters used by M-FAC optimizer:
```bash
learning rate = 1e-4
number of gradients = 1024
dampening = 1e-6
```
## Results
We share the best model out of 5 runs with the following score on QQP validation set:
```bash
f1 = 79.84
accuracy = 84.40
```
Mean and standard deviation for 5 runs on QQP validation set:
| | F1 | Accuracy |
|:----:|:-----------:|:----------:|
| Adam | 77.58 ± 0.08 | 81.09 ± 0.15 |
| M-FAC | 79.71 ± 0.13 | 84.29 ± 0.08 |
Results can be reproduced by adding M-FAC optimizer code in [https://github.com/huggingface/transformers/blob/master/examples/pytorch/text-classification/run_glue.py](https://github.com/huggingface/transformers/blob/master/examples/pytorch/text-classification/run_glue.py) and running the following bash script:
```bash
CUDA_VISIBLE_DEVICES=0 python run_glue.py \
--seed 1234 \
--model_name_or_path prajjwal1/bert-tiny \
--task_name qqp \
--do_train \
--do_eval \
--max_seq_length 128 \
--per_device_train_batch_size 32 \
--learning_rate 1e-4 \
--num_train_epochs 5 \
--output_dir out_dir/ \
--optim MFAC \
--optim_args '{"lr": 1e-4, "num_grads": 1024, "damp": 1e-6}'
```
We believe these results could be improved with modest tuning of hyperparameters: `per_device_train_batch_size`, `learning_rate`, `num_train_epochs`, `num_grads` and `damp`. For the sake of fair comparison and a robust default setup we use the same hyperparameters across all models (`bert-tiny`, `bert-mini`) and all datasets (SQuAD version 2 and GLUE).
Our code for M-FAC can be found here: [https://github.com/IST-DASLab/M-FAC](https://github.com/IST-DASLab/M-FAC).
A step-by-step tutorial on how to integrate and use M-FAC with any repository can be found here: [https://github.com/IST-DASLab/M-FAC/tree/master/tutorials](https://github.com/IST-DASLab/M-FAC/tree/master/tutorials).
## BibTeX entry and citation info
```bibtex
@article{frantar2021m,
title={M-FAC: Efficient Matrix-Free Approximations of Second-Order Information},
author={Frantar, Elias and Kurtic, Eldar and Alistarh, Dan},
journal={Advances in Neural Information Processing Systems},
volume={35},
year={2021}
}
```
|
M-FAC/bert-tiny-finetuned-mnli | M-FAC | 2021-12-13T08:14:33Z | 7 | 1 | transformers | [
"transformers",
"pytorch",
"bert",
"text-classification",
"arxiv:2107.03356",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | text-classification | 2022-03-02T23:29:04Z | # BERT-tiny model finetuned with M-FAC
This model is finetuned on MNLI dataset with state-of-the-art second-order optimizer M-FAC.
Check NeurIPS 2021 paper for more details on M-FAC: [https://arxiv.org/pdf/2107.03356.pdf](https://arxiv.org/pdf/2107.03356.pdf).
## Finetuning setup
For fair comparison against default Adam baseline, we finetune the model in the same framework as described here [https://github.com/huggingface/transformers/tree/master/examples/pytorch/text-classification](https://github.com/huggingface/transformers/tree/master/examples/pytorch/text-classification) and just swap Adam optimizer with M-FAC.
Hyperparameters used by M-FAC optimizer:
```bash
learning rate = 1e-4
number of gradients = 1024
dampening = 1e-6
```
## Results
We share the best model out of 5 runs with the following score on MNLI validation set:
```bash
matched_accuracy = 69.55
mismatched_accuracy = 70.58
```
Mean and standard deviation for 5 runs on MNLI validation set:
| | Matched Accuracy | Mismatched Accuracy |
|:----:|:-----------:|:----------:|
| Adam | 65.36 ± 0.13 | 66.78 ± 0.15 |
| M-FAC | 68.28 ± 3.29 | 68.98 ± 3.05 |
Results can be reproduced by adding M-FAC optimizer code in [https://github.com/huggingface/transformers/blob/master/examples/pytorch/text-classification/run_glue.py](https://github.com/huggingface/transformers/blob/master/examples/pytorch/text-classification/run_glue.py) and running the following bash script:
```bash
CUDA_VISIBLE_DEVICES=0 python run_glue.py \
--seed 42 \
--model_name_or_path prajjwal1/bert-tiny \
--task_name mnli \
--do_train \
--do_eval \
--max_seq_length 128 \
--per_device_train_batch_size 32 \
--learning_rate 1e-4 \
--num_train_epochs 5 \
--output_dir out_dir/ \
--optim MFAC \
--optim_args '{"lr": 1e-4, "num_grads": 1024, "damp": 1e-6}'
```
We believe these results could be improved with modest tuning of hyperparameters: `per_device_train_batch_size`, `learning_rate`, `num_train_epochs`, `num_grads` and `damp`. For the sake of fair comparison and a robust default setup we use the same hyperparameters across all models (`bert-tiny`, `bert-mini`) and all datasets (SQuAD version 2 and GLUE).
Our code for M-FAC can be found here: [https://github.com/IST-DASLab/M-FAC](https://github.com/IST-DASLab/M-FAC).
A step-by-step tutorial on how to integrate and use M-FAC with any repository can be found here: [https://github.com/IST-DASLab/M-FAC/tree/master/tutorials](https://github.com/IST-DASLab/M-FAC/tree/master/tutorials).
## BibTeX entry and citation info
```bibtex
@article{frantar2021m,
title={M-FAC: Efficient Matrix-Free Approximations of Second-Order Information},
author={Frantar, Elias and Kurtic, Eldar and Alistarh, Dan},
journal={Advances in Neural Information Processing Systems},
volume={35},
year={2021}
}
```
|
M-FAC/bert-tiny-finetuned-squadv2 | M-FAC | 2021-12-13T08:14:11Z | 18 | 0 | transformers | [
"transformers",
"pytorch",
"bert",
"question-answering",
"arxiv:2107.03356",
"endpoints_compatible",
"region:us"
] | question-answering | 2022-03-02T23:29:04Z | # BERT-tiny model finetuned with M-FAC
This model is finetuned on SQuAD version 2 dataset with state-of-the-art second-order optimizer M-FAC.
Check NeurIPS 2021 paper for more details on M-FAC: [https://arxiv.org/pdf/2107.03356.pdf](https://arxiv.org/pdf/2107.03356.pdf).
## Finetuning setup
For fair comparison against default Adam baseline, we finetune the model in the same framework as described here [https://github.com/huggingface/transformers/tree/master/examples/pytorch/question-answering](https://github.com/huggingface/transformers/tree/master/examples/pytorch/question-answering) and just swap Adam optimizer with M-FAC.
Hyperparameters used by M-FAC optimizer:
```bash
learning rate = 1e-4
number of gradients = 1024
dampening = 1e-6
```
## Results
We share the best model out of 5 runs with the following score on SQuAD version 2 validation set:
```bash
exact_match = 50.29
f1 = 52.43
```
Mean and standard deviation for 5 runs on SQuAD version 2 validation set:
| | Exact Match | F1 |
|:----:|:-----------:|:----:|
| Adam | 48.41 ± 0.57 | 49.99 ± 0.54 |
| M-FAC | 49.80 ± 0.43 | 52.18 ± 0.20 |
Results can be reproduced by adding M-FAC optimizer code in [https://github.com/huggingface/transformers/blob/master/examples/pytorch/question-answering/run_qa.py](https://github.com/huggingface/transformers/blob/master/examples/pytorch/question-answering/run_qa.py) and running the following bash script:
```bash
CUDA_VISIBLE_DEVICES=0 python run_qa.py \
--seed 42 \
--model_name_or_path prajjwal1/bert-tiny \
--dataset_name squad_v2 \
--version_2_with_negative \
--do_train \
--do_eval \
--per_device_train_batch_size 12 \
--learning_rate 1e-4 \
--num_train_epochs 2 \
--max_seq_length 384 \
--doc_stride 128 \
--output_dir out_dir/ \
--optim MFAC \
--optim_args '{"lr": 1e-4, "num_grads": 1024, "damp": 1e-6}'
```
We believe these results could be improved with modest tuning of hyperparameters: `per_device_train_batch_size`, `learning_rate`, `num_train_epochs`, `num_grads` and `damp`. For the sake of fair comparison and a robust default setup we use the same hyperparameters across all models (`bert-tiny`, `bert-mini`) and all datasets (SQuAD version 2 and GLUE).
Our code for M-FAC can be found here: [https://github.com/IST-DASLab/M-FAC](https://github.com/IST-DASLab/M-FAC).
A step-by-step tutorial on how to integrate and use M-FAC with any repository can be found here: [https://github.com/IST-DASLab/M-FAC/tree/master/tutorials](https://github.com/IST-DASLab/M-FAC/tree/master/tutorials).
## BibTeX entry and citation info
```bibtex
@article{frantar2021m,
title={M-FAC: Efficient Matrix-Free Approximations of Second-Order Information},
author={Frantar, Elias and Kurtic, Eldar and Alistarh, Dan},
journal={Advances in Neural Information Processing Systems},
volume={35},
year={2021}
}
```
|
M-FAC/bert-tiny-finetuned-sst2 | M-FAC | 2021-12-13T08:13:48Z | 7 | 0 | transformers | [
"transformers",
"pytorch",
"bert",
"text-classification",
"arxiv:2107.03356",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | text-classification | 2022-03-02T23:29:04Z | # BERT-tiny model finetuned with M-FAC
This model is finetuned on SST-2 dataset with state-of-the-art second-order optimizer M-FAC.
Check NeurIPS 2021 paper for more details on M-FAC: [https://arxiv.org/pdf/2107.03356.pdf](https://arxiv.org/pdf/2107.03356.pdf).
## Finetuning setup
For fair comparison against default Adam baseline, we finetune the model in the same framework as described here [https://github.com/huggingface/transformers/tree/master/examples/pytorch/text-classification](https://github.com/huggingface/transformers/tree/master/examples/pytorch/text-classification) and just swap Adam optimizer with M-FAC.
Hyperparameters used by M-FAC optimizer:
```bash
learning rate = 1e-4
number of gradients = 1024
dampening = 1e-6
```
## Results
We share the best model out of 5 runs with the following score on SST-2 validation set:
```bash
accuracy = 83.02
```
Mean and standard deviation for 5 runs on SST-2 validation set:
| | Accuracy |
|:----:|:-----------:|
| Adam | 80.11 ± 0.65 |
| M-FAC | 81.86 ± 0.76 |
Results can be reproduced by adding M-FAC optimizer code in [https://github.com/huggingface/transformers/blob/master/examples/pytorch/text-classification/run_glue.py](https://github.com/huggingface/transformers/blob/master/examples/pytorch/text-classification/run_glue.py) and running the following bash script:
```bash
CUDA_VISIBLE_DEVICES=0 python run_glue.py \
--seed 42 \
--model_name_or_path prajjwal1/bert-tiny \
--task_name sst2 \
--do_train \
--do_eval \
--max_seq_length 128 \
--per_device_train_batch_size 32 \
--learning_rate 1e-4 \
--num_train_epochs 3 \
--output_dir out_dir/ \
--optim MFAC \
--optim_args '{"lr": 1e-4, "num_grads": 1024, "damp": 1e-6}'
```
We believe these results could be improved with modest tuning of hyperparameters: `per_device_train_batch_size`, `learning_rate`, `num_train_epochs`, `num_grads` and `damp`. For the sake of fair comparison and a robust default setup we use the same hyperparameters across all models (`bert-tiny`, `bert-mini`) and all datasets (SQuAD version 2 and GLUE).
Our code for M-FAC can be found here: [https://github.com/IST-DASLab/M-FAC](https://github.com/IST-DASLab/M-FAC).
A step-by-step tutorial on how to integrate and use M-FAC with any repository can be found here: [https://github.com/IST-DASLab/M-FAC/tree/master/tutorials](https://github.com/IST-DASLab/M-FAC/tree/master/tutorials).
## BibTeX entry and citation info
```bibtex
@article{frantar2021m,
title={M-FAC: Efficient Matrix-Free Approximations of Second-Order Information},
author={Frantar, Elias and Kurtic, Eldar and Alistarh, Dan},
journal={Advances in Neural Information Processing Systems},
volume={35},
year={2021}
}
```
|
M-FAC/bert-mini-finetuned-sst2 | M-FAC | 2021-12-13T08:13:26Z | 11 | 0 | transformers | [
"transformers",
"pytorch",
"bert",
"text-classification",
"arxiv:2107.03356",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | text-classification | 2022-03-02T23:29:04Z | # BERT-mini model finetuned with M-FAC
This model is finetuned on SST-2 dataset with state-of-the-art second-order optimizer M-FAC.
Check NeurIPS 2021 paper for more details on M-FAC: [https://arxiv.org/pdf/2107.03356.pdf](https://arxiv.org/pdf/2107.03356.pdf).
## Finetuning setup
For fair comparison against default Adam baseline, we finetune the model in the same framework as described here [https://github.com/huggingface/transformers/tree/master/examples/pytorch/text-classification](https://github.com/huggingface/transformers/tree/master/examples/pytorch/text-classification) and just swap Adam optimizer with M-FAC.
Hyperparameters used by M-FAC optimizer:
```bash
learning rate = 1e-4
number of gradients = 1024
dampening = 1e-6
```
## Results
We share the best model out of 5 runs with the following score on SST-2 validation set:
```bash
accuracy = 84.74
```
Mean and standard deviation for 5 runs on SST-2 validation set:
| | Accuracy |
|:----:|:-----------:|
| Adam | 85.46 ± 0.58 |
| M-FAC | 84.20 ± 0.58 |
Results can be reproduced by adding M-FAC optimizer code in [https://github.com/huggingface/transformers/blob/master/examples/pytorch/text-classification/run_glue.py](https://github.com/huggingface/transformers/blob/master/examples/pytorch/text-classification/run_glue.py) and running the following bash script:
```bash
CUDA_VISIBLE_DEVICES=0 python run_glue.py \
--seed 1234 \
--model_name_or_path prajjwal1/bert-mini \
--task_name sst2 \
--do_train \
--do_eval \
--max_seq_length 128 \
--per_device_train_batch_size 32 \
--learning_rate 1e-4 \
--num_train_epochs 3 \
--output_dir out_dir/ \
--optim MFAC \
--optim_args '{"lr": 1e-4, "num_grads": 1024, "damp": 1e-6}'
```
We believe these results could be improved with modest tuning of hyperparameters: `per_device_train_batch_size`, `learning_rate`, `num_train_epochs`, `num_grads` and `damp`. For the sake of fair comparison and a robust default setup we use the same hyperparameters across all models (`bert-tiny`, `bert-mini`) and all datasets (SQuAD version 2 and GLUE).
Our code for M-FAC can be found here: [https://github.com/IST-DASLab/M-FAC](https://github.com/IST-DASLab/M-FAC).
A step-by-step tutorial on how to integrate and use M-FAC with any repository can be found here: [https://github.com/IST-DASLab/M-FAC/tree/master/tutorials](https://github.com/IST-DASLab/M-FAC/tree/master/tutorials).
## BibTeX entry and citation info
```bibtex
@article{frantar2021m,
title={M-FAC: Efficient Matrix-Free Approximations of Second-Order Information},
author={Frantar, Elias and Kurtic, Eldar and Alistarh, Dan},
journal={Advances in Neural Information Processing Systems},
volume={35},
year={2021}
}
```
|
M-FAC/bert-mini-finetuned-squadv2 | M-FAC | 2021-12-13T08:13:09Z | 22 | 0 | transformers | [
"transformers",
"pytorch",
"bert",
"question-answering",
"arxiv:2107.03356",
"endpoints_compatible",
"region:us"
] | question-answering | 2022-03-02T23:29:04Z | # BERT-mini model finetuned with M-FAC
This model is finetuned on SQuAD version 2 dataset with state-of-the-art second-order optimizer M-FAC.
Check NeurIPS 2021 paper for more details on M-FAC: [https://arxiv.org/pdf/2107.03356.pdf](https://arxiv.org/pdf/2107.03356.pdf).
## Finetuning setup
For fair comparison against default Adam baseline, we finetune the model in the same framework as described here [https://github.com/huggingface/transformers/tree/master/examples/pytorch/question-answering](https://github.com/huggingface/transformers/tree/master/examples/pytorch/question-answering) and just swap Adam optimizer with M-FAC.
Hyperparameters used by M-FAC optimizer:
```bash
learning rate = 1e-4
number of gradients = 1024
dampening = 1e-6
```
## Results
We share the best model out of 5 runs with the following score on SQuAD version 2 validation set:
```bash
exact_match = 58.38
f1 = 61.65
```
Mean and standard deviation for 5 runs on SQuAD version 2 validation set:
| | Exact Match | F1 |
|:----:|:-----------:|:----:|
| Adam | 54.80 ± 0.47 | 58.13 ± 0.31 |
| M-FAC | 58.02 ± 0.39 | 61.35 ± 0.24 |
Results can be reproduced by adding M-FAC optimizer code in [https://github.com/huggingface/transformers/blob/master/examples/pytorch/question-answering/run_qa.py](https://github.com/huggingface/transformers/blob/master/examples/pytorch/question-answering/run_qa.py) and running the following bash script:
```bash
CUDA_VISIBLE_DEVICES=0 python run_qa.py \
--seed 8276 \
--model_name_or_path prajjwal1/bert-mini \
--dataset_name squad_v2 \
--version_2_with_negative \
--do_train \
--do_eval \
--per_device_train_batch_size 12 \
--learning_rate 1e-4 \
--num_train_epochs 2 \
--max_seq_length 384 \
--doc_stride 128 \
--output_dir out_dir/ \
--optim MFAC \
--optim_args '{"lr": 1e-4, "num_grads": 1024, "damp": 1e-6}'
```
We believe these results could be improved with modest tuning of hyperparameters: `per_device_train_batch_size`, `learning_rate`, `num_train_epochs`, `num_grads` and `damp`. For the sake of fair comparison and a robust default setup we use the same hyperparameters across all models (`bert-tiny`, `bert-mini`) and all datasets (SQuAD version 2 and GLUE).
Our code for M-FAC can be found here: [https://github.com/IST-DASLab/M-FAC](https://github.com/IST-DASLab/M-FAC).
A step-by-step tutorial on how to integrate and use M-FAC with any repository can be found here: [https://github.com/IST-DASLab/M-FAC/tree/master/tutorials](https://github.com/IST-DASLab/M-FAC/tree/master/tutorials).
## BibTeX entry and citation info
```bibtex
@article{frantar2021m,
title={M-FAC: Efficient Matrix-Free Approximations of Second-Order Information},
author={Frantar, Elias and Kurtic, Eldar and Alistarh, Dan},
journal={Advances in Neural Information Processing Systems},
volume={35},
year={2021}
}
```
|
M-FAC/bert-tiny-finetuned-mrpc | M-FAC | 2021-12-13T08:12:51Z | 107 | 0 | transformers | [
"transformers",
"pytorch",
"bert",
"text-classification",
"arxiv:2107.03356",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | text-classification | 2022-03-02T23:29:04Z | # BERT-tiny model finetuned with M-FAC
This model is finetuned on MRPC dataset with state-of-the-art second-order optimizer M-FAC.
Check NeurIPS 2021 paper for more details on M-FAC: [https://arxiv.org/pdf/2107.03356.pdf](https://arxiv.org/pdf/2107.03356.pdf).
## Finetuning setup
For fair comparison against default Adam baseline, we finetune the model in the same framework as described here [https://github.com/huggingface/transformers/tree/master/examples/pytorch/text-classification](https://github.com/huggingface/transformers/tree/master/examples/pytorch/text-classification) and just swap Adam optimizer with M-FAC.
Hyperparameters used by M-FAC optimizer:
```bash
learning rate = 1e-4
number of gradients = 512
dampening = 1e-6
```
## Results
We share the best model out of 5 runs with the following score on MRPC validation set:
```bash
f1 = 83.12
accuracy = 73.52
```
Mean and standard deviation for 5 runs on MRPC validation set:
| | F1 | Accuracy |
|:----:|:-----------:|:----------:|
| Adam | 81.68 ± 0.33 | 69.90 ± 0.32 |
| M-FAC | 82.77 ± 0.22 | 72.94 ± 0.37 |
Results can be reproduced by adding M-FAC optimizer code in [https://github.com/huggingface/transformers/blob/master/examples/pytorch/text-classification/run_glue.py](https://github.com/huggingface/transformers/blob/master/examples/pytorch/text-classification/run_glue.py) and running the following bash script:
```bash
CUDA_VISIBLE_DEVICES=0 python run_glue.py \
--seed 42 \
--model_name_or_path prajjwal1/bert-tiny \
--task_name mrpc \
--do_train \
--do_eval \
--max_seq_length 128 \
--per_device_train_batch_size 32 \
--learning_rate 1e-4 \
--num_train_epochs 5 \
--output_dir out_dir/ \
--optim MFAC \
--optim_args '{"lr": 1e-4, "num_grads": 512, "damp": 1e-6}'
```
We believe these results could be improved with modest tuning of hyperparameters: `per_device_train_batch_size`, `learning_rate`, `num_train_epochs`, `num_grads` and `damp`. For the sake of fair comparison and a robust default setup we use the same hyperparameters across all models (`bert-tiny`, `bert-mini`) and all datasets (SQuAD version 2 and GLUE).
Our code for M-FAC can be found here: [https://github.com/IST-DASLab/M-FAC](https://github.com/IST-DASLab/M-FAC).
A step-by-step tutorial on how to integrate and use M-FAC with any repository can be found here: [https://github.com/IST-DASLab/M-FAC/tree/master/tutorials](https://github.com/IST-DASLab/M-FAC/tree/master/tutorials).
## BibTeX entry and citation info
```bibtex
@article{frantar2021m,
title={M-FAC: Efficient Matrix-Free Approximations of Second-Order Information},
author={Frantar, Elias and Kurtic, Eldar and Alistarh, Dan},
journal={Advances in Neural Information Processing Systems},
volume={35},
year={2021}
}
```
|
M-FAC/bert-tiny-finetuned-qnli | M-FAC | 2021-12-13T08:11:40Z | 182 | 0 | transformers | [
"transformers",
"pytorch",
"bert",
"text-classification",
"arxiv:2107.03356",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | text-classification | 2022-03-02T23:29:04Z | # BERT-tiny model finetuned with M-FAC
This model is finetuned on QNLI dataset with state-of-the-art second-order optimizer M-FAC.
Check NeurIPS 2021 paper for more details on M-FAC: [https://arxiv.org/pdf/2107.03356.pdf](https://arxiv.org/pdf/2107.03356.pdf).
## Finetuning setup
For fair comparison against default Adam baseline, we finetune the model in the same framework as described here [https://github.com/huggingface/transformers/tree/master/examples/pytorch/text-classification](https://github.com/huggingface/transformers/tree/master/examples/pytorch/text-classification) and just swap Adam optimizer with M-FAC.
Hyperparameters used by M-FAC optimizer:
```bash
learning rate = 1e-4
number of gradients = 1024
dampening = 1e-6
```
## Results
We share the best model out of 5 runs with the following score on QNLI validation set:
```bash
accuracy = 81.54
```
Mean and standard deviation for 5 runs on QNLI validation set:
| | Accuracy |
|:----:|:-----------:|
| Adam | 77.85 ± 0.15 |
| M-FAC | 81.17 ± 0.43 |
Results can be reproduced by adding M-FAC optimizer code in [https://github.com/huggingface/transformers/blob/master/examples/pytorch/text-classification/run_glue.py](https://github.com/huggingface/transformers/blob/master/examples/pytorch/text-classification/run_glue.py) and running the following bash script:
```bash
CUDA_VISIBLE_DEVICES=0 python run_glue.py \
--seed 8276 \
--model_name_or_path prajjwal1/bert-tiny \
--task_name qnli \
--do_train \
--do_eval \
--max_seq_length 128 \
--per_device_train_batch_size 32 \
--learning_rate 1e-4 \
--num_train_epochs 5 \
--output_dir out_dir/ \
--optim MFAC \
--optim_args '{"lr": 1e-4, "num_grads": 1024, "damp": 1e-6}'
```
We believe these results could be improved with modest tuning of hyperparameters: `per_device_train_batch_size`, `learning_rate`, `num_train_epochs`, `num_grads` and `damp`. For the sake of fair comparison and a robust default setup we use the same hyperparameters across all models (`bert-tiny`, `bert-mini`) and all datasets (SQuAD version 2 and GLUE).
Our code for M-FAC can be found here: [https://github.com/IST-DASLab/M-FAC](https://github.com/IST-DASLab/M-FAC).
A step-by-step tutorial on how to integrate and use M-FAC with any repository can be found here: [https://github.com/IST-DASLab/M-FAC/tree/master/tutorials](https://github.com/IST-DASLab/M-FAC/tree/master/tutorials).
## BibTeX entry and citation info
```bibtex
@article{frantar2021m,
title={M-FAC: Efficient Matrix-Free Approximations of Second-Order Information},
author={Frantar, Elias and Kurtic, Eldar and Alistarh, Dan},
journal={Advances in Neural Information Processing Systems},
volume={35},
year={2021}
}
```
|
huggingtweets/rapevictlm-smallapey-vsshole | huggingtweets | 2021-12-13T03:31:03Z | 4 | 0 | transformers | [
"transformers",
"pytorch",
"gpt2",
"text-generation",
"huggingtweets",
"en",
"autotrain_compatible",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | text-generation | 2022-03-02T23:29:05Z | ---
language: en
thumbnail: http://www.huggingtweets.com/rapevictlm-smallapey-vsshole/1639366258224/predictions.png
tags:
- huggingtweets
widget:
- text: "My dream is"
---
<div class="inline-flex flex-col" style="line-height: 1.5;">
<div class="flex">
<div
style="display:inherit; margin-left: 4px; margin-right: 4px; width: 92px; height:92px; border-radius: 50%; background-size: cover; background-image: url('https://pbs.twimg.com/profile_images/1444850204642009094/4wL9IkCG_400x400.jpg')">
</div>
<div
style="display:inherit; margin-left: 4px; margin-right: 4px; width: 92px; height:92px; border-radius: 50%; background-size: cover; background-image: url('https://pbs.twimg.com/profile_images/1468028789317935116/SYCkEdg7_400x400.jpg')">
</div>
<div
style="display:inherit; margin-left: 4px; margin-right: 4px; width: 92px; height:92px; border-radius: 50%; background-size: cover; background-image: url('https://pbs.twimg.com/profile_images/1467609621284204544/p6F0necl_400x400.jpg')">
</div>
</div>
<div style="text-align: center; margin-top: 3px; font-size: 16px; font-weight: 800">🤖 AI CYBORG 🤖</div>
<div style="text-align: center; font-size: 16px; font-weight: 800">📡 CRIMEA RIVER & 🌺 m ny 🐝🐙 & Evil 😈 Little 🥺 Apey 🐒</div>
<div style="text-align: center; font-size: 14px;">@rapevictlm-smallapey-vsshole</div>
</div>
I was made with [huggingtweets](https://github.com/borisdayma/huggingtweets).
Create your own bot based on your favorite user with [the demo](https://colab.research.google.com/github/borisdayma/huggingtweets/blob/master/huggingtweets-demo.ipynb)!
## How does it work?
The model uses the following pipeline.
To understand how the model was developed, check the [W&B report](https://wandb.ai/wandb/huggingtweets/reports/HuggingTweets-Train-a-Model-to-Generate-Tweets--VmlldzoxMTY5MjI).
## Training data
The model was trained on tweets from 📡 CRIMEA RIVER & 🌺 m ny 🐝🐙 & Evil 😈 Little 🥺 Apey 🐒.
| Data | 📡 CRIMEA RIVER | 🌺 m ny 🐝🐙 | Evil 😈 Little 🥺 Apey 🐒 |
| --- | --- | --- | --- |
| Tweets downloaded | 3212 | 3230 | 3157 |
| Retweets | 678 | 410 | 573 |
| Short tweets | 1101 | 1477 | 414 |
| Tweets kept | 1433 | 1343 | 2170 |
[Explore the data](https://wandb.ai/wandb/huggingtweets/runs/dfo817yg/artifacts), which is tracked with [W&B artifacts](https://docs.wandb.com/artifacts) at every step of the pipeline.
## Training procedure
The model is based on a pre-trained [GPT-2](https://huggingface.co/gpt2) which is fine-tuned on @rapevictlm-smallapey-vsshole's tweets.
Hyperparameters and metrics are recorded in the [W&B training run](https://wandb.ai/wandb/huggingtweets/runs/362cpdzm) for full transparency and reproducibility.
At the end of training, [the final model](https://wandb.ai/wandb/huggingtweets/runs/362cpdzm/artifacts) is logged and versioned.
## How to use
You can use this model directly with a pipeline for text generation:
```python
from transformers import pipeline
generator = pipeline('text-generation',
model='huggingtweets/rapevictlm-smallapey-vsshole')
generator("My dream is", num_return_sequences=5)
```
## Limitations and bias
The model suffers from [the same limitations and bias as GPT-2](https://huggingface.co/gpt2#limitations-and-bias).
In addition, the data present in the user's tweets further affects the text generated by the model.
## About
*Built by Boris Dayma*
[](https://twitter.com/intent/follow?screen_name=borisdayma)
For more details, visit the project repository.
[](https://github.com/borisdayma/huggingtweets)
|
huggingtweets/rapevictlm | huggingtweets | 2021-12-13T03:17:01Z | 4 | 2 | transformers | [
"transformers",
"pytorch",
"gpt2",
"text-generation",
"huggingtweets",
"en",
"autotrain_compatible",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | text-generation | 2022-03-02T23:29:05Z | ---
language: en
thumbnail: http://www.huggingtweets.com/rapevictlm/1639365417456/predictions.png
tags:
- huggingtweets
widget:
- text: "My dream is"
---
<div class="inline-flex flex-col" style="line-height: 1.5;">
<div class="flex">
<div
style="display:inherit; margin-left: 4px; margin-right: 4px; width: 92px; height:92px; border-radius: 50%; background-size: cover; background-image: url('https://pbs.twimg.com/profile_images/1444850204642009094/4wL9IkCG_400x400.jpg')">
</div>
<div
style="display:none; margin-left: 4px; margin-right: 4px; width: 92px; height:92px; border-radius: 50%; background-size: cover; background-image: url('')">
</div>
<div
style="display:none; margin-left: 4px; margin-right: 4px; width: 92px; height:92px; border-radius: 50%; background-size: cover; background-image: url('')">
</div>
</div>
<div style="text-align: center; margin-top: 3px; font-size: 16px; font-weight: 800">🤖 AI BOT 🤖</div>
<div style="text-align: center; font-size: 16px; font-weight: 800">📡 CRIMEA RIVER</div>
<div style="text-align: center; font-size: 14px;">@rapevictlm</div>
</div>
I was made with [huggingtweets](https://github.com/borisdayma/huggingtweets).
Create your own bot based on your favorite user with [the demo](https://colab.research.google.com/github/borisdayma/huggingtweets/blob/master/huggingtweets-demo.ipynb)!
## How does it work?
The model uses the following pipeline.
To understand how the model was developed, check the [W&B report](https://wandb.ai/wandb/huggingtweets/reports/HuggingTweets-Train-a-Model-to-Generate-Tweets--VmlldzoxMTY5MjI).
## Training data
The model was trained on tweets from 📡 CRIMEA RIVER.
| Data | 📡 CRIMEA RIVER |
| --- | --- |
| Tweets downloaded | 3212 |
| Retweets | 678 |
| Short tweets | 1100 |
| Tweets kept | 1434 |
[Explore the data](https://wandb.ai/wandb/huggingtweets/runs/116qxl17/artifacts), which is tracked with [W&B artifacts](https://docs.wandb.com/artifacts) at every step of the pipeline.
## Training procedure
The model is based on a pre-trained [GPT-2](https://huggingface.co/gpt2) which is fine-tuned on @rapevictlm's tweets.
Hyperparameters and metrics are recorded in the [W&B training run](https://wandb.ai/wandb/huggingtweets/runs/3pbvmby8) for full transparency and reproducibility.
At the end of training, [the final model](https://wandb.ai/wandb/huggingtweets/runs/3pbvmby8/artifacts) is logged and versioned.
## How to use
You can use this model directly with a pipeline for text generation:
```python
from transformers import pipeline
generator = pipeline('text-generation',
model='huggingtweets/rapevictlm')
generator("My dream is", num_return_sequences=5)
```
## Limitations and bias
The model suffers from [the same limitations and bias as GPT-2](https://huggingface.co/gpt2#limitations-and-bias).
In addition, the data present in the user's tweets further affects the text generated by the model.
## About
*Built by Boris Dayma*
[](https://twitter.com/intent/follow?screen_name=borisdayma)
For more details, visit the project repository.
[](https://github.com/borisdayma/huggingtweets)
|
huggingtweets/cochairmeshawn | huggingtweets | 2021-12-13T02:45:54Z | 4 | 0 | transformers | [
"transformers",
"pytorch",
"gpt2",
"text-generation",
"huggingtweets",
"en",
"autotrain_compatible",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | text-generation | 2022-03-02T23:29:05Z | ---
language: en
thumbnail: http://www.huggingtweets.com/cochairmeshawn/1639363549909/predictions.png
tags:
- huggingtweets
widget:
- text: "My dream is"
---
<div class="inline-flex flex-col" style="line-height: 1.5;">
<div class="flex">
<div
style="display:inherit; margin-left: 4px; margin-right: 4px; width: 92px; height:92px; border-radius: 50%; background-size: cover; background-image: url('https://pbs.twimg.com/profile_images/1461533198001881092/bqlHextm_400x400.jpg')">
</div>
<div
style="display:none; margin-left: 4px; margin-right: 4px; width: 92px; height:92px; border-radius: 50%; background-size: cover; background-image: url('')">
</div>
<div
style="display:none; margin-left: 4px; margin-right: 4px; width: 92px; height:92px; border-radius: 50%; background-size: cover; background-image: url('')">
</div>
</div>
<div style="text-align: center; margin-top: 3px; font-size: 16px; font-weight: 800">🤖 AI BOT 🤖</div>
<div style="text-align: center; font-size: 16px; font-weight: 800">meshawn maddock</div>
<div style="text-align: center; font-size: 14px;">@cochairmeshawn</div>
</div>
I was made with [huggingtweets](https://github.com/borisdayma/huggingtweets).
Create your own bot based on your favorite user with [the demo](https://colab.research.google.com/github/borisdayma/huggingtweets/blob/master/huggingtweets-demo.ipynb)!
## How does it work?
The model uses the following pipeline.
To understand how the model was developed, check the [W&B report](https://wandb.ai/wandb/huggingtweets/reports/HuggingTweets-Train-a-Model-to-Generate-Tweets--VmlldzoxMTY5MjI).
## Training data
The model was trained on tweets from meshawn maddock.
| Data | meshawn maddock |
| --- | --- |
| Tweets downloaded | 2909 |
| Retweets | 1334 |
| Short tweets | 267 |
| Tweets kept | 1308 |
[Explore the data](https://wandb.ai/wandb/huggingtweets/runs/2gcrdu5h/artifacts), which is tracked with [W&B artifacts](https://docs.wandb.com/artifacts) at every step of the pipeline.
## Training procedure
The model is based on a pre-trained [GPT-2](https://huggingface.co/gpt2) which is fine-tuned on @cochairmeshawn's tweets.
Hyperparameters and metrics are recorded in the [W&B training run](https://wandb.ai/wandb/huggingtweets/runs/1pdiqrr1) for full transparency and reproducibility.
At the end of training, [the final model](https://wandb.ai/wandb/huggingtweets/runs/1pdiqrr1/artifacts) is logged and versioned.
## How to use
You can use this model directly with a pipeline for text generation:
```python
from transformers import pipeline
generator = pipeline('text-generation',
model='huggingtweets/cochairmeshawn')
generator("My dream is", num_return_sequences=5)
```
## Limitations and bias
The model suffers from [the same limitations and bias as GPT-2](https://huggingface.co/gpt2#limitations-and-bias).
In addition, the data present in the user's tweets further affects the text generated by the model.
## About
*Built by Boris Dayma*
[](https://twitter.com/intent/follow?screen_name=borisdayma)
For more details, visit the project repository.
[](https://github.com/borisdayma/huggingtweets)
|
huggingtweets/smokey_niggata_ | huggingtweets | 2021-12-12T20:49:58Z | 4 | 0 | transformers | [
"transformers",
"pytorch",
"gpt2",
"text-generation",
"huggingtweets",
"en",
"autotrain_compatible",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | text-generation | 2022-03-02T23:29:05Z | ---
language: en
thumbnail: http://www.huggingtweets.com/smokey_niggata_/1639342193829/predictions.png
tags:
- huggingtweets
widget:
- text: "My dream is"
---
<div class="inline-flex flex-col" style="line-height: 1.5;">
<div class="flex">
<div
style="display:inherit; margin-left: 4px; margin-right: 4px; width: 92px; height:92px; border-radius: 50%; background-size: cover; background-image: url('https://pbs.twimg.com/profile_images/1466974340835155969/CMZyIFqz_400x400.jpg')">
</div>
<div
style="display:none; margin-left: 4px; margin-right: 4px; width: 92px; height:92px; border-radius: 50%; background-size: cover; background-image: url('')">
</div>
<div
style="display:none; margin-left: 4px; margin-right: 4px; width: 92px; height:92px; border-radius: 50%; background-size: cover; background-image: url('')">
</div>
</div>
<div style="text-align: center; margin-top: 3px; font-size: 16px; font-weight: 800">🤖 AI BOT 🤖</div>
<div style="text-align: center; font-size: 16px; font-weight: 800">craig .</div>
<div style="text-align: center; font-size: 14px;">@smokey_niggata_</div>
</div>
I was made with [huggingtweets](https://github.com/borisdayma/huggingtweets).
Create your own bot based on your favorite user with [the demo](https://colab.research.google.com/github/borisdayma/huggingtweets/blob/master/huggingtweets-demo.ipynb)!
## How does it work?
The model uses the following pipeline.
To understand how the model was developed, check the [W&B report](https://wandb.ai/wandb/huggingtweets/reports/HuggingTweets-Train-a-Model-to-Generate-Tweets--VmlldzoxMTY5MjI).
## Training data
The model was trained on tweets from craig ..
| Data | craig . |
| --- | --- |
| Tweets downloaded | 3228 |
| Retweets | 979 |
| Short tweets | 506 |
| Tweets kept | 1743 |
[Explore the data](https://wandb.ai/wandb/huggingtweets/runs/1ymzu14z/artifacts), which is tracked with [W&B artifacts](https://docs.wandb.com/artifacts) at every step of the pipeline.
## Training procedure
The model is based on a pre-trained [GPT-2](https://huggingface.co/gpt2) which is fine-tuned on @smokey_niggata_'s tweets.
Hyperparameters and metrics are recorded in the [W&B training run](https://wandb.ai/wandb/huggingtweets/runs/9y7e96u5) for full transparency and reproducibility.
At the end of training, [the final model](https://wandb.ai/wandb/huggingtweets/runs/9y7e96u5/artifacts) is logged and versioned.
## How to use
You can use this model directly with a pipeline for text generation:
```python
from transformers import pipeline
generator = pipeline('text-generation',
model='huggingtweets/smokey_niggata_')
generator("My dream is", num_return_sequences=5)
```
## Limitations and bias
The model suffers from [the same limitations and bias as GPT-2](https://huggingface.co/gpt2#limitations-and-bias).
In addition, the data present in the user's tweets further affects the text generated by the model.
## About
*Built by Boris Dayma*
[](https://twitter.com/intent/follow?screen_name=borisdayma)
For more details, visit the project repository.
[](https://github.com/borisdayma/huggingtweets)
|
edumunozsala/RuPERTa_base_sentiment_analysis_es | edumunozsala | 2021-12-12T18:40:41Z | 66 | 2 | transformers | [
"transformers",
"pytorch",
"roberta",
"text-classification",
"sagemaker",
"ruperta",
"TextClassification",
"SentimentAnalysis",
"es",
"dataset:IMDbreviews_es",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | text-classification | 2022-03-02T23:29:05Z | ---
language: es
tags:
- sagemaker
- ruperta
- TextClassification
- SentimentAnalysis
license: apache-2.0
datasets:
- IMDbreviews_es
model-index:
name: RuPERTa_base_sentiment_analysis_es
results:
- task:
name: Sentiment Analysis
type: sentiment-analysis
- dataset:
name: "IMDb Reviews in Spanish"
type: IMDbreviews_es
- metrics:
- name: Accuracy,
type: accuracy,
value: 0.881866
- name: F1 Score,
type: f1,
value: 0.008272
- name: Precision,
type: precision,
value: 0.858605
- name: Recall,
type: recall,
value: 0.920062
widget:
- text: "Se trata de una película interesante, con un solido argumento y un gran interpretación de su actor principal"
---
## Model `RuPERTa_base_sentiment_analysis_es`
### **A finetuned model for Sentiment analysis in Spanish**
This model was trained using Amazon SageMaker and the new Hugging Face Deep Learning container,
The base model is **RuPERTa-base (uncased)** which is a RoBERTa model trained on a uncased version of big Spanish corpus.
It was trained by mrm8488, Manuel Romero.[Link to base model](https://huggingface.co/mrm8488/RuPERTa-base)
## Dataset
The dataset is a collection of movie reviews in Spanish, about 50,000 reviews. The dataset is balanced and provides every review in english, in spanish and the label in both languages.
Sizes of datasets:
- Train dataset: 42,500
- Validation dataset: 3,750
- Test dataset: 3,750
## Hyperparameters
{
"epochs": "4",
"train_batch_size": "32",
"eval_batch_size": "8",
"fp16": "true",
"learning_rate": "3e-05",
"model_name": "\"mrm8488/RuPERTa-base\"",
"sagemaker_container_log_level": "20",
"sagemaker_program": "\"train.py\"",
}
## Evaluation results
Accuracy = 0.8629333333333333
F1 Score = 0.8648790746582545
Precision = 0.8479381443298969
Recall = 0.8825107296137339
## Test results
Accuracy = 0.8066666666666666
F1 Score = 0.8057862309134743
Precision = 0.7928307854507116
Recall = 0.8191721132897604
## Model in action
### Usage for Sentiment Analysis
```python
import torch
from transformers import AutoTokenizer, AutoModelForSequenceClassification
tokenizer = AutoTokenizer.from_pretrained("edumunozsala/RuPERTa_base_sentiment_analysis_es")
model = AutoModelForSequenceClassification.from_pretrained("edumunozsala/RuPERTa_base_sentiment_analysis_es")
text ="Se trata de una película interesante, con un solido argumento y un gran interpretación de su actor principal"
input_ids = torch.tensor(tokenizer.encode(text)).unsqueeze(0)
outputs = model(input_ids)
output = outputs.logits.argmax(1)
```
Created by [Eduardo Muñoz/@edumunozsala](https://github.com/edumunozsala)
|
aXhyra/test_hate_trained_test | aXhyra | 2021-12-12T18:11:11Z | 3 | 0 | transformers | [
"transformers",
"pytorch",
"distilbert",
"text-classification",
"generated_from_trainer",
"dataset:tweet_eval",
"license:apache-2.0",
"model-index",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | text-classification | 2022-03-02T23:29:05Z | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- tweet_eval
metrics:
- f1
model-index:
- name: test_hate_trained_test
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: tweet_eval
type: tweet_eval
args: hate
metrics:
- name: F1
type: f1
value: 0.7691585677255204
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# test_hate_trained_test
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the tweet_eval dataset.
It achieves the following results on the evaluation set:
- Loss: 1.1807
- F1: 0.7692
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 5.257754679724796e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 0
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4
### Training results
| Training Loss | Epoch | Step | Validation Loss | F1 |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 0.4362 | 1.0 | 1125 | 0.5282 | 0.7369 |
| 0.3193 | 2.0 | 2250 | 0.6364 | 0.7571 |
| 0.1834 | 3.0 | 3375 | 1.0346 | 0.7625 |
| 0.0776 | 4.0 | 4500 | 1.1807 | 0.7692 |
### Framework versions
- Transformers 4.12.5
- Pytorch 1.9.1
- Datasets 1.16.1
- Tokenizers 0.10.3
|
aXhyra/test_irony_trained_test | aXhyra | 2021-12-12T17:02:51Z | 3 | 0 | transformers | [
"transformers",
"pytorch",
"distilbert",
"text-classification",
"generated_from_trainer",
"dataset:tweet_eval",
"license:apache-2.0",
"model-index",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | text-classification | 2022-03-02T23:29:05Z | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- tweet_eval
metrics:
- f1
model-index:
- name: test_irony_trained_test
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: tweet_eval
type: tweet_eval
args: irony
metrics:
- name: F1
type: f1
value: 0.6680395323922843
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# test_irony_trained_test
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the tweet_eval dataset.
It achieves the following results on the evaluation set:
- Loss: 0.7674
- F1: 0.6680
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 9.207906329883037e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 0
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4
### Training results
| Training Loss | Epoch | Step | Validation Loss | F1 |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| No log | 1.0 | 358 | 0.6655 | 0.5924 |
| 0.684 | 2.0 | 716 | 0.6889 | 0.6024 |
| 0.5826 | 3.0 | 1074 | 0.7085 | 0.6488 |
| 0.5826 | 4.0 | 1432 | 0.7674 | 0.6680 |
### Framework versions
- Transformers 4.12.5
- Pytorch 1.9.1
- Datasets 1.16.1
- Tokenizers 0.10.3
|
Ayham/robertagpt2_xsum2 | Ayham | 2021-12-12T15:38:03Z | 5 | 0 | transformers | [
"transformers",
"pytorch",
"tensorboard",
"encoder-decoder",
"text2text-generation",
"generated_from_trainer",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | text2text-generation | 2022-03-02T23:29:04Z | ---
tags:
- generated_from_trainer
model-index:
- name: robertagpt2_xsum2
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# robertagpt2_xsum2
This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 2000
- num_epochs: 3.0
- mixed_precision_training: Native AMP
### Training results
### Framework versions
- Transformers 4.13.0
- Pytorch 1.10.0+cu111
- Datasets 1.16.1
- Tokenizers 0.10.3
|
aXhyra/emotion_trained_1234567 | aXhyra | 2021-12-12T13:19:19Z | 4 | 0 | transformers | [
"transformers",
"pytorch",
"distilbert",
"text-classification",
"generated_from_trainer",
"dataset:tweet_eval",
"license:apache-2.0",
"model-index",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | text-classification | 2022-03-02T23:29:05Z | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- tweet_eval
metrics:
- f1
model-index:
- name: emotion_trained_1234567
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: tweet_eval
type: tweet_eval
args: emotion
metrics:
- name: F1
type: f1
value: 0.7301562209701973
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# emotion_trained_1234567
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the tweet_eval dataset.
It achieves the following results on the evaluation set:
- Loss: 0.9051
- F1: 0.7302
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 6.961635072722524e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 1234567
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4
### Training results
| Training Loss | Epoch | Step | Validation Loss | F1 |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| No log | 1.0 | 204 | 0.6480 | 0.7231 |
| No log | 2.0 | 408 | 0.6114 | 0.7403 |
| 0.5045 | 3.0 | 612 | 0.7592 | 0.7311 |
| 0.5045 | 4.0 | 816 | 0.9051 | 0.7302 |
### Framework versions
- Transformers 4.12.5
- Pytorch 1.9.1
- Datasets 1.16.1
- Tokenizers 0.10.3
|
aXhyra/emotion_trained_31415 | aXhyra | 2021-12-12T13:14:50Z | 4 | 0 | transformers | [
"transformers",
"pytorch",
"distilbert",
"text-classification",
"generated_from_trainer",
"dataset:tweet_eval",
"license:apache-2.0",
"model-index",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | text-classification | 2022-03-02T23:29:05Z | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- tweet_eval
metrics:
- f1
model-index:
- name: emotion_trained_31415
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: tweet_eval
type: tweet_eval
args: emotion
metrics:
- name: F1
type: f1
value: 0.719757533529152
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# emotion_trained_31415
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the tweet_eval dataset.
It achieves the following results on the evaluation set:
- Loss: 0.9274
- F1: 0.7198
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 6.961635072722524e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 31415
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4
### Training results
| Training Loss | Epoch | Step | Validation Loss | F1 |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| No log | 1.0 | 204 | 0.6177 | 0.7137 |
| No log | 2.0 | 408 | 0.7489 | 0.6761 |
| 0.5082 | 3.0 | 612 | 0.8233 | 0.7283 |
| 0.5082 | 4.0 | 816 | 0.9274 | 0.7198 |
### Framework versions
- Transformers 4.12.5
- Pytorch 1.9.1
- Datasets 1.16.1
- Tokenizers 0.10.3
|
aXhyra/emotion_trained_42 | aXhyra | 2021-12-12T13:11:11Z | 4 | 0 | transformers | [
"transformers",
"pytorch",
"distilbert",
"text-classification",
"generated_from_trainer",
"dataset:tweet_eval",
"license:apache-2.0",
"model-index",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | text-classification | 2022-03-02T23:29:05Z | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- tweet_eval
metrics:
- f1
model-index:
- name: emotion_trained_42
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: tweet_eval
type: tweet_eval
args: emotion
metrics:
- name: F1
type: f1
value: 0.7361210540311689
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# emotion_trained_42
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the tweet_eval dataset.
It achieves the following results on the evaluation set:
- Loss: 0.9012
- F1: 0.7361
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 6.961635072722524e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4
### Training results
| Training Loss | Epoch | Step | Validation Loss | F1 |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| No log | 1.0 | 204 | 0.6131 | 0.6955 |
| No log | 2.0 | 408 | 0.5816 | 0.7297 |
| 0.5148 | 3.0 | 612 | 0.8942 | 0.7199 |
| 0.5148 | 4.0 | 816 | 0.9012 | 0.7361 |
### Framework versions
- Transformers 4.12.5
- Pytorch 1.9.1
- Datasets 1.16.1
- Tokenizers 0.10.3
|
aXhyra/hate_trained_31415 | aXhyra | 2021-12-12T12:57:50Z | 4 | 0 | transformers | [
"transformers",
"pytorch",
"distilbert",
"text-classification",
"generated_from_trainer",
"dataset:tweet_eval",
"license:apache-2.0",
"model-index",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | text-classification | 2022-03-02T23:29:05Z | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- tweet_eval
metrics:
- f1
model-index:
- name: hate_trained_31415
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: tweet_eval
type: tweet_eval
args: hate
metrics:
- name: F1
type: f1
value: 0.7729447444817463
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# hate_trained_31415
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the tweet_eval dataset.
It achieves the following results on the evaluation set:
- Loss: 0.8568
- F1: 0.7729
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 2.7272339744854407e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 31415
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4
### Training results
| Training Loss | Epoch | Step | Validation Loss | F1 |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 0.482 | 1.0 | 563 | 0.4973 | 0.7672 |
| 0.3316 | 2.0 | 1126 | 0.4931 | 0.7794 |
| 0.2308 | 3.0 | 1689 | 0.7073 | 0.7593 |
| 0.1444 | 4.0 | 2252 | 0.8568 | 0.7729 |
### Framework versions
- Transformers 4.12.5
- Pytorch 1.9.1
- Datasets 1.16.1
- Tokenizers 0.10.3
|
aXhyra/hate_trained_42 | aXhyra | 2021-12-12T12:46:30Z | 5 | 0 | transformers | [
"transformers",
"pytorch",
"distilbert",
"text-classification",
"generated_from_trainer",
"dataset:tweet_eval",
"license:apache-2.0",
"model-index",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | text-classification | 2022-03-02T23:29:05Z | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- tweet_eval
metrics:
- f1
model-index:
- name: hate_trained_42
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: tweet_eval
type: tweet_eval
args: hate
metrics:
- name: F1
type: f1
value: 0.7712319060633668
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# hate_trained_42
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the tweet_eval dataset.
It achieves the following results on the evaluation set:
- Loss: 0.8994
- F1: 0.7712
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 2.7272339744854407e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4
### Training results
| Training Loss | Epoch | Step | Validation Loss | F1 |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 0.4835 | 1.0 | 563 | 0.4855 | 0.7556 |
| 0.3277 | 2.0 | 1126 | 0.5354 | 0.7704 |
| 0.2112 | 3.0 | 1689 | 0.6870 | 0.7751 |
| 0.1384 | 4.0 | 2252 | 0.8994 | 0.7712 |
### Framework versions
- Transformers 4.12.5
- Pytorch 1.9.1
- Datasets 1.16.1
- Tokenizers 0.10.3
|
aXhyra/irony_trained_1234567 | aXhyra | 2021-12-12T12:22:43Z | 7 | 0 | transformers | [
"transformers",
"pytorch",
"distilbert",
"text-classification",
"generated_from_trainer",
"dataset:tweet_eval",
"license:apache-2.0",
"model-index",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | text-classification | 2022-03-02T23:29:05Z | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- tweet_eval
metrics:
- f1
model-index:
- name: irony_trained_1234567
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: tweet_eval
type: tweet_eval
args: irony
metrics:
- name: F1
type: f1
value: 0.6765645067647214
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# irony_trained_1234567
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the tweet_eval dataset.
It achieves the following results on the evaluation set:
- Loss: 1.6580
- F1: 0.6766
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 2.6774391860025942e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 1234567
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4
### Training results
| Training Loss | Epoch | Step | Validation Loss | F1 |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 0.6608 | 1.0 | 716 | 0.6057 | 0.6704 |
| 0.5329 | 2.0 | 1432 | 0.8935 | 0.6621 |
| 0.3042 | 3.0 | 2148 | 1.3871 | 0.6822 |
| 0.1769 | 4.0 | 2864 | 1.6580 | 0.6766 |
### Framework versions
- Transformers 4.12.5
- Pytorch 1.9.1
- Datasets 1.16.1
- Tokenizers 0.10.3
|
aXhyra/irony_trained_31415 | aXhyra | 2021-12-12T12:17:08Z | 7 | 0 | transformers | [
"transformers",
"pytorch",
"distilbert",
"text-classification",
"generated_from_trainer",
"dataset:tweet_eval",
"license:apache-2.0",
"model-index",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | text-classification | 2022-03-02T23:29:05Z | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- tweet_eval
metrics:
- f1
model-index:
- name: irony_trained_31415
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: tweet_eval
type: tweet_eval
args: irony
metrics:
- name: F1
type: f1
value: 0.6690050628690761
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# irony_trained_31415
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the tweet_eval dataset.
It achieves the following results on the evaluation set:
- Loss: 1.6608
- F1: 0.6690
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 2.6774391860025942e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 31415
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4
### Training results
| Training Loss | Epoch | Step | Validation Loss | F1 |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 0.6547 | 1.0 | 716 | 0.6173 | 0.6508 |
| 0.57 | 2.0 | 1432 | 0.8629 | 0.6577 |
| 0.2955 | 3.0 | 2148 | 1.4836 | 0.6722 |
| 0.1903 | 4.0 | 2864 | 1.6608 | 0.6690 |
### Framework versions
- Transformers 4.12.5
- Pytorch 1.9.1
- Datasets 1.16.1
- Tokenizers 0.10.3
|
harshit345/xlsr-53-wav2vec-hi | harshit345 | 2021-12-12T11:52:01Z | 7 | 0 | transformers | [
"transformers",
"pytorch",
"wav2vec2",
"automatic-speech-recognition",
"audio",
"speech",
"xlsr-fine-tuning-week",
"hi",
"license:apache-2.0",
"model-index",
"endpoints_compatible",
"region:us"
] | automatic-speech-recognition | 2022-03-02T23:29:05Z | ---
language: hi
datasets:
- Interspeech 2021
metrics:
- wer
tags:
- audio
- automatic-speech-recognition
- speech
- xlsr-fine-tuning-week
license: apache-2.0
model-index:
- name: XLSR Wav2Vec2 Hindi by Shyam Sunder Kumar
results:
- task:
name: Speech Recognition
type: automatic-speech-recognition
dataset:
name: Common Voice hi
type: common_voice
args: hi
metrics:
- name: Test WER
type: wer
value: 20.22
---
# Wav2Vec2-Large-XLSR-53-hindi
Fine-tuned [facebook/wav2vec2-large-xlsr-53](https://huggingface.co/facebook/wav2vec2-large-xlsr-53) hindi using the [Multilingual and code-switching ASR challenges for low resource Indian languages](https://navana-tech.github.io/IS21SS-indicASRchallenge/data.html).
When using this model, make sure that your speech input is sampled at 16kHz.
## Usage
The model can be used directly (without a language model) as follows:
```python
import torch
import torchaudio
from datasets import load_dataset
from transformers import Wav2Vec2ForCTC, Wav2Vec2Processor
test_dataset = load_dataset("common_voice", "hi", split="test[:2%]")
processor = Wav2Vec2Processor.from_pretrained("theainerd/Wav2Vec2-large-xlsr-hindi")
model = Wav2Vec2ForCTC.from_pretrained("theainerd/Wav2Vec2-large-xlsr-hindi")
resampler = torchaudio.transforms.Resample(48_000, 16_000)
# Preprocessing the datasets.
# We need to read the aduio files as arrays
def speech_file_to_array_fn(batch):
speech_array, sampling_rate = torchaudio.load(batch["path"])
batch["speech"] = resampler(speech_array).squeeze().numpy()
return batch
test_dataset = test_dataset.map(speech_file_to_array_fn)
inputs = processor(test_dataset["speech"][:2], sampling_rate=16_000, return_tensors="pt", padding=True)
with torch.no_grad():
logits = model(inputs.input_values, attention_mask=inputs.attention_mask).logits
predicted_ids = torch.argmax(logits, dim=-1)
print("Prediction:", processor.batch_decode(predicted_ids))
print("Reference:", test_dataset["sentence"][:2])
```
## Evaluation
The model can be evaluated as follows on the hindi test data of Common Voice.
```python
import torch
import torchaudio
from datasets import load_dataset, load_metric
from transformers import Wav2Vec2ForCTC, Wav2Vec2Processor
import re
test_dataset = load_dataset("common_voice", "hi", split="test")
wer = load_metric("wer")
processor = Wav2Vec2Processor.from_pretrained("theainerd/Wav2Vec2-large-xlsr-hindi")
model = Wav2Vec2ForCTC.from_pretrained("theainerd/Wav2Vec2-large-xlsr-hindi")
model.to("cuda")
resampler = torchaudio.transforms.Resample(48_000, 16_000)
chars_to_ignore_regex = '[\,\?\.\!\-\;\:\"\“]'
# Preprocessing the datasets.
# We need to read the aduio files as arrays
def speech_file_to_array_fn(batch):
batch["sentence"] = re.sub(chars_to_ignore_regex, '', batch["sentence"]).lower()
speech_array, sampling_rate = torchaudio.load(batch["path"])
batch["speech"] = resampler(speech_array).squeeze().numpy()
return batch
test_dataset = test_dataset.map(speech_file_to_array_fn)
# Preprocessing the datasets.
# We need to read the aduio files as arrays
def evaluate(batch):
inputs = processor(batch["speech"], sampling_rate=16_000, return_tensors="pt", padding=True)
with torch.no_grad():
logits = model(inputs.input_values.to("cuda"), attention_mask=inputs.attention_mask.to("cuda")).logits
pred_ids = torch.argmax(logits, dim=-1)
batch["pred_strings"] = processor.batch_decode(pred_ids)
return batch
result = test_dataset.map(evaluate, batched=True, batch_size=8)
print("WER: {:2f}".format(100 * wer.compute(predictions=result["pred_strings"], references=result["sentence"])))
```
**Test Result**:20.22 %
## Training
The script used for training can be found [Hindi ASR Fine Tuning Wav2Vec2](https://colab.research.google.com/drive/1nY5WMj1oNlexD_qDeNYL7ZM427A021CV?usp=sharing) |
aXhyra/emotion_trained_final | aXhyra | 2021-12-12T10:50:02Z | 5 | 0 | transformers | [
"transformers",
"pytorch",
"distilbert",
"text-classification",
"generated_from_trainer",
"dataset:tweet_eval",
"license:apache-2.0",
"model-index",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | text-classification | 2022-03-02T23:29:05Z | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- tweet_eval
metrics:
- f1
model-index:
- name: emotion_trained_final
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: tweet_eval
type: tweet_eval
args: emotion
metrics:
- name: F1
type: f1
value: 0.7469065445487402
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# emotion_trained_final
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the tweet_eval dataset.
It achieves the following results on the evaluation set:
- Loss: 0.9349
- F1: 0.7469
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 1.502523631581398e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 0
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4
### Training results
| Training Loss | Epoch | Step | Validation Loss | F1 |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 0.9013 | 1.0 | 815 | 0.7822 | 0.6470 |
| 0.5008 | 2.0 | 1630 | 0.7142 | 0.7419 |
| 0.3684 | 3.0 | 2445 | 0.8621 | 0.7443 |
| 0.2182 | 4.0 | 3260 | 0.9349 | 0.7469 |
### Framework versions
- Transformers 4.12.5
- Pytorch 1.9.1
- Datasets 1.16.1
- Tokenizers 0.10.3
|
aXhyra/irony_trained_final | aXhyra | 2021-12-12T10:28:16Z | 4 | 0 | transformers | [
"transformers",
"pytorch",
"distilbert",
"text-classification",
"generated_from_trainer",
"dataset:tweet_eval",
"license:apache-2.0",
"model-index",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | text-classification | 2022-03-02T23:29:05Z | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- tweet_eval
metrics:
- f1
model-index:
- name: irony_trained_final
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: tweet_eval
type: tweet_eval
args: irony
metrics:
- name: F1
type: f1
value: 0.6879413493337545
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# irony_trained_final
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the tweet_eval dataset.
It achieves the following results on the evaluation set:
- Loss: 1.4770
- F1: 0.6879
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 4.842398023893579e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 0
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4
### Training results
| Training Loss | Epoch | Step | Validation Loss | F1 |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 0.6852 | 1.0 | 716 | 0.6488 | 0.6530 |
| 0.6263 | 2.0 | 1432 | 0.7647 | 0.6511 |
| 0.4511 | 3.0 | 2148 | 1.2251 | 0.6764 |
| 0.2578 | 4.0 | 2864 | 1.4770 | 0.6879 |
### Framework versions
- Transformers 4.12.5
- Pytorch 1.9.1
- Datasets 1.16.1
- Tokenizers 0.10.3
|
addy88/wav2vec2-base-finetuned-ks | addy88 | 2021-12-12T03:41:52Z | 4 | 0 | transformers | [
"transformers",
"pytorch",
"tensorboard",
"wav2vec2",
"audio-classification",
"generated_from_trainer",
"dataset:superb",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | audio-classification | 2022-03-02T23:29:05Z | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- superb
metrics:
- accuracy
model-index:
- name: wav2vec2-base-finetuned-ks
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# wav2vec2-base-finetuned-ks
This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on the superb dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1339
- Accuracy: 0.9768
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 3e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 5
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 1.102 | 1.0 | 399 | 1.0087 | 0.6574 |
| 0.5228 | 2.0 | 798 | 0.4266 | 0.9247 |
| 0.3222 | 3.0 | 1197 | 0.2037 | 0.9744 |
| 0.2096 | 4.0 | 1596 | 0.1444 | 0.9766 |
| 0.2003 | 5.0 | 1995 | 0.1339 | 0.9768 |
### Framework versions
- Transformers 4.11.3
- Pytorch 1.10.0+cu111
- Datasets 1.14.0
- Tokenizers 0.10.3
|
harshit345/wav2vec2-large-lv60-timit | harshit345 | 2021-12-11T22:38:44Z | 6 | 1 | transformers | [
"transformers",
"pytorch",
"jax",
"wav2vec2",
"automatic-speech-recognition",
"audio",
"speech",
"en",
"dataset:timit_asr",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | automatic-speech-recognition | 2022-03-02T23:29:05Z | ---
language: en
datasets:
- timit_asr
tags:
- audio
- automatic-speech-recognition
- speech
license: apache-2.0
---
# Wav2Vec2-Large-LV60-TIMIT
Fine-tuned [facebook/wav2vec2-large-lv60](https://huggingface.co/facebook/wav2vec2-large-lv60)
on the [timit_asr dataset](https://huggingface.co/datasets/timit_asr).
When using this model, make sure that your speech input is sampled at 16kHz.
## Usage
The model can be used directly (without a language model) as follows:
```python
import soundfile as sf
import torch
from datasets import load_dataset
from transformers import Wav2Vec2ForCTC, Wav2Vec2Processor
model_name = "hktayal345/wav2vec2-large-lv60-timit-asr"
processor = Wav2Vec2Processor.from_pretrained(model_name)
model = Wav2Vec2ForCTC.from_pretrained(model_name)
model.eval()
dataset = load_dataset("timit_asr", split="test").shuffle().select(range(10))
char_translations = str.maketrans({"-": " ", ",": "", ".": "", "?": ""})
def prepare_example(example):
example["speech"], _ = sf.read(example["file"])
example["text"] = example["text"].translate(char_translations)
example["text"] = " ".join(example["text"].split()) # clean up whitespaces
example["text"] = example["text"].lower()
return example
dataset = dataset.map(prepare_example, remove_columns=["file"])
inputs = processor(dataset["speech"], sampling_rate=16000, return_tensors="pt", padding="longest")
with torch.no_grad():
predicted_ids = torch.argmax(model(inputs.input_values).logits, dim=-1)
predicted_ids[predicted_ids == -100] = processor.tokenizer.pad_token_id # see fine-tuning script
predicted_transcripts = processor.tokenizer.batch_decode(predicted_ids)
for reference, predicted in zip(dataset["text"], predicted_transcripts):
print("reference:", reference)
print("predicted:", predicted)
print("--")
```
Here's the output:
```
reference: the emblem depicts the acropolis all aglow
predicted: the amblum depicts the acropolis all a glo
--
reference: don't ask me to carry an oily rag like that
predicted: don't ask me to carry an oily rag like that
--
reference: they enjoy it when i audition
predicted: they enjoy it when i addition
--
reference: set aside to dry with lid on sugar bowl
predicted: set aside to dry with a litt on shoogerbowl
--
reference: a boring novel is a superb sleeping pill
predicted: a bor and novel is a suberb sleeping peel
--
reference: only the most accomplished artists obtain popularity
predicted: only the most accomplished artists obtain popularity
--
reference: he has never himself done anything for which to be hated which of us has
predicted: he has never himself done anything for which to be hated which of us has
--
reference: the fish began to leap frantically on the surface of the small lake
predicted: the fish began to leap frantically on the surface of the small lake
--
reference: or certain words or rituals that child and adult go through may do the trick
predicted: or certain words or rituals that child an adult go through may do the trick
--
reference: are your grades higher or lower than nancy's
predicted: are your grades higher or lower than nancies
--
```
## Fine-Tuning Script
You can find the script used to produce this model
[here](https://colab.research.google.com/drive/1gVaZhFuIXxBDN2pD0esW490azlbQtQ7C?usp=sharing).
**Note:** This model can be fine-tuned further;
[trainer_state.json](https://huggingface.co/harshit345/wav2vec2-large-lv60-timit/blob/main/trainer_state.json)
shows useful details, namely the last state (this checkpoint):
```json
{
"epoch": 29.51,
"eval_loss": 25.424150466918945,
"eval_runtime": 182.9499,
"eval_samples_per_second": 9.183,
"eval_wer": 0.1351704233095107,
"step": 8500
}
```
|
aXhyra/sentiment_trained_1234567 | aXhyra | 2021-12-11T22:29:06Z | 5 | 0 | transformers | [
"transformers",
"pytorch",
"distilbert",
"text-classification",
"generated_from_trainer",
"dataset:tweet_eval",
"license:apache-2.0",
"model-index",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | text-classification | 2022-03-02T23:29:05Z | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- tweet_eval
metrics:
- f1
model-index:
- name: sentiment_trained_1234567
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: tweet_eval
type: tweet_eval
args: sentiment
metrics:
- name: F1
type: f1
value: 0.7165064254565859
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# sentiment_trained_1234567
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the tweet_eval dataset.
It achieves the following results on the evaluation set:
- Loss: 1.2854
- F1: 0.7165
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 1.2140338797769864e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 1234567
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4
### Training results
| Training Loss | Epoch | Step | Validation Loss | F1 |
|:-------------:|:-----:|:-----:|:---------------:|:------:|
| 0.6603 | 1.0 | 11404 | 0.7020 | 0.6992 |
| 0.5978 | 2.0 | 22808 | 0.8024 | 0.7151 |
| 0.5495 | 3.0 | 34212 | 1.0837 | 0.7139 |
| 0.4026 | 4.0 | 45616 | 1.2854 | 0.7165 |
### Framework versions
- Transformers 4.12.5
- Pytorch 1.9.1
- Datasets 1.16.1
- Tokenizers 0.10.3
|
aXhyra/sentiment_trained_31415 | aXhyra | 2021-12-11T21:59:51Z | 3 | 0 | transformers | [
"transformers",
"pytorch",
"distilbert",
"text-classification",
"generated_from_trainer",
"dataset:tweet_eval",
"license:apache-2.0",
"model-index",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | text-classification | 2022-03-02T23:29:05Z | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- tweet_eval
metrics:
- f1
model-index:
- name: sentiment_trained_31415
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: tweet_eval
type: tweet_eval
args: sentiment
metrics:
- name: F1
type: f1
value: 0.7188262432133108
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# sentiment_trained_31415
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the tweet_eval dataset.
It achieves the following results on the evaluation set:
- Loss: 1.2481
- F1: 0.7188
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 1.2140338797769864e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 31415
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4
### Training results
| Training Loss | Epoch | Step | Validation Loss | F1 |
|:-------------:|:-----:|:-----:|:---------------:|:------:|
| 0.651 | 1.0 | 11404 | 0.6669 | 0.7141 |
| 0.6066 | 2.0 | 22808 | 0.8160 | 0.7198 |
| 0.503 | 3.0 | 34212 | 1.0659 | 0.7182 |
| 0.386 | 4.0 | 45616 | 1.2481 | 0.7188 |
### Framework versions
- Transformers 4.12.5
- Pytorch 1.9.1
- Datasets 1.16.1
- Tokenizers 0.10.3
|
cylee/tutorial | cylee | 2021-12-11T21:48:30Z | 4 | 0 | transformers | [
"transformers",
"tf",
"bert",
"fill-mask",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | fill-mask | 2022-03-02T23:29:05Z | # About
This is a sample repo. |
aXhyra/sentiment_trained_42 | aXhyra | 2021-12-11T21:29:18Z | 3 | 0 | transformers | [
"transformers",
"pytorch",
"distilbert",
"text-classification",
"generated_from_trainer",
"dataset:tweet_eval",
"license:apache-2.0",
"model-index",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | text-classification | 2022-03-02T23:29:05Z | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- tweet_eval
metrics:
- f1
model-index:
- name: sentiment_trained_42
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: tweet_eval
type: tweet_eval
args: sentiment
metrics:
- name: F1
type: f1
value: 0.7131935389791447
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# sentiment_trained_42
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the tweet_eval dataset.
It achieves the following results on the evaluation set:
- Loss: 1.3194
- F1: 0.7132
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 1.2140338797769864e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4
### Training results
| Training Loss | Epoch | Step | Validation Loss | F1 |
|:-------------:|:-----:|:-----:|:---------------:|:------:|
| 0.6405 | 1.0 | 11404 | 0.6631 | 0.7046 |
| 0.5998 | 2.0 | 22808 | 0.8429 | 0.7102 |
| 0.5118 | 3.0 | 34212 | 1.0906 | 0.7155 |
| 0.3745 | 4.0 | 45616 | 1.3194 | 0.7132 |
### Framework versions
- Transformers 4.12.5
- Pytorch 1.9.1
- Datasets 1.16.1
- Tokenizers 0.10.3
|
rafiulrumy/wav2vec2-base-timit-demo-colab | rafiulrumy | 2021-12-11T21:02:58Z | 13 | 0 | transformers | [
"transformers",
"pytorch",
"tensorboard",
"wav2vec2",
"automatic-speech-recognition",
"generated_from_trainer",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | automatic-speech-recognition | 2022-03-02T23:29:05Z | ---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: wav2vec2-base-timit-demo-colab
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# wav2vec2-base-timit-demo-colab
This model is a fine-tuned version of [facebook/wav2vec2-base-960h](https://huggingface.co/facebook/wav2vec2-base-960h) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 3.0755
- Wer: 1.0
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 0.0001
- train_batch_size: 32
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 10
- num_epochs: 2
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|:-------------:|:-----:|:----:|:---------------:|:---:|
| 8.0894 | 0.34 | 50 | 3.8065 | 1.0 |
| 3.2971 | 0.69 | 100 | 3.0704 | 1.0 |
| 3.1262 | 1.03 | 150 | 3.0153 | 1.0 |
| 2.9925 | 1.38 | 200 | 3.0094 | 1.0 |
| 3.2159 | 1.72 | 250 | 3.0755 | 1.0 |
### Framework versions
- Transformers 4.11.3
- Pytorch 1.10.0+cu111
- Datasets 1.13.3
- Tokenizers 0.10.3
|
marcolatella/hate_trained_42 | marcolatella | 2021-12-11T20:38:02Z | 4 | 0 | transformers | [
"transformers",
"pytorch",
"distilbert",
"text-classification",
"generated_from_trainer",
"dataset:tweet_eval",
"license:apache-2.0",
"model-index",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | text-classification | 2022-03-02T23:29:05Z | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- tweet_eval
metrics:
- f1
model-index:
- name: hate_trained_42
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: tweet_eval
type: tweet_eval
args: hate
metrics:
- name: F1
type: f1
value: 0.7665230429627923
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# hate_trained_42
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the tweet_eval dataset.
It achieves the following results on the evaluation set:
- Loss: 0.8996
- F1: 0.7665
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 2.7272339744854407e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4
### Training results
| Training Loss | Epoch | Step | Validation Loss | F1 |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 0.4833 | 1.0 | 563 | 0.4834 | 0.7543 |
| 0.3275 | 2.0 | 1126 | 0.5334 | 0.7755 |
| 0.2111 | 3.0 | 1689 | 0.6894 | 0.7674 |
| 0.1385 | 4.0 | 2252 | 0.8996 | 0.7665 |
### Framework versions
- Transformers 4.13.0
- Pytorch 1.10.0+cu111
- Datasets 1.16.1
- Tokenizers 0.10.3
|
lfcc/bert-large-pt-archive | lfcc | 2021-12-11T19:01:44Z | 9 | 0 | transformers | [
"transformers",
"pytorch",
"tensorboard",
"bert",
"token-classification",
"generated_from_trainer",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | token-classification | 2022-03-02T23:29:05Z | ---
license: mit
tags:
- generated_from_trainer
metrics:
- precision
- recall
- f1
- accuracy
model_index:
- name: bert-large-pt-archive
results:
- task:
name: Token Classification
type: token-classification
metric:
name: Accuracy
type: accuracy
value: 0.9766762474673703
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# bert-large-pt-archive
This model is a fine-tuned version of [neuralmind/bert-large-portuguese-cased](https://huggingface.co/neuralmind/bert-large-portuguese-cased) on an unkown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0869
- Precision: 0.9280
- Recall: 0.9541
- F1: 0.9409
- Accuracy: 0.9767
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4
### Training results
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
| 0.0665 | 1.0 | 765 | 0.1020 | 0.8928 | 0.9566 | 0.9236 | 0.9696 |
| 0.0392 | 2.0 | 1530 | 0.0781 | 0.9229 | 0.9586 | 0.9404 | 0.9757 |
| 0.0201 | 3.0 | 2295 | 0.0809 | 0.9278 | 0.9550 | 0.9412 | 0.9767 |
| 0.0152 | 4.0 | 3060 | 0.0869 | 0.9280 | 0.9541 | 0.9409 | 0.9767 |
### Framework versions
- Transformers 4.10.0.dev0
- Pytorch 1.9.0+cu111
- Datasets 1.10.2
- Tokenizers 0.10.3
|
fernandoperlar/preprocessing_image | fernandoperlar | 2021-12-11T12:51:29Z | 0 | 0 | null | [
"region:us"
] | null | 2022-03-02T23:29:05Z | <br />
<p align="center">
<a href="https://github.com/FernandoPerezLara/image-preprocessing-layer">
<img src="https://huggingface.co/fernandoperlar/preprocessing_image/resolve/main/duck.png" alt="Logo" width="100" height="146">
</a>
<h3 align="center">Image Preprocessing Model</h3>
<p align="center">
Image preprocessing in a convolutional model
<br />
<a href="https://github.com/FernandoPerezLara/image-preprocessing-layer"><strong>Read more about the model »</strong></a>
<br />
<br />
<a href="https://github.com/FernandoPerezLara/image-preprocessing-layer">View Code</a>
·
<a href="https://github.com/FernandoPerezLara/image-preprocessing-layer/issues">Report Bug</a>
·
<a href="https://github.com/FernandoPerezLara/image-preprocessing-layer/discussions">Start a discussion</a>
</p>
</p>
<br />
The main objective of this project is to apply preprocessing to an image dataset while the model is being trained.
The solution has been taken because we do not want to apply preprocessing to the data before training (i.e. create a copy of the data but already preprocessed) because we want to apply data augmentation while the model trains.
The use of `Lambda` layers has been discarded because they do not allow the use of external libraries that do not work with tensors, since we want to use the functions provided by *OpenCV* and *NumPy*.
## Preprocessing
In this example found in this repository we wanted to divide the images from HSV color masks, where it is divided into:
* **Warm zones**: red and white colors are obtained.
* **Warm zones**: The green color is obtained.
* **Cold zones**: The color blue is obtained.
Within the code you can find the declaration of these filters as:
```python
filters = {
"original": lambda x: x,
"red": lambda x: data.getImageTensor(x, (330, 0, 0), (360, 255, 255)) + data.getImageTensor(x, (0, 0, 0), (50, 255, 255)),
"green": lambda x: data.getImageTensor(x, (60, 0, 0), (130, 255, 255)),
"blue": lambda x: data.getImageTensor(x, (180, 0, 0), (270, 255, 255)),
}
```
On the other hand, the preprocessing functions are located inside `scripts/Data.py` file as follows:
```python
def detectColor(self, image, lower, upper):
if tf.is_tensor(image):
temp_image = image.numpy().copy() # Used for training
else:
temp_image = image.copy() # Used for displaying the image
hsv_image = temp_image.copy()
hsv_image = cv.cvtColor(hsv_image, cv.COLOR_RGB2HSV)
mask = cv.inRange(hsv_image, lower, upper)
result = temp_image.copy()
result[np.where(mask == 0)] = 0
return result
def getImageTensor(self, images, lower, upper):
results = []
for img in images:
results.append(np.expand_dims(self.detectColor(img, lower, upper), axis=0))
return np.concatenate(results, axis=0)
```
## Model
The model used to solve our problem was a *CNN* with a preprocessing layer:
This model can be found in the `scripts/Model.py` file in the following function:
```python
def create_model():
class FilterLayer(layers.Layer):
def __init__(self, filter, **kwargs):
self.filter = filter
super(FilterLayer, self).__init__(name="filter_layer", **kwargs)
def call(self, image):
shape = image.shape
[image, ] = tf.py_function(self.filter, [image], [tf.float32])
image = backend.stop_gradient(image)
image.set_shape(shape)
return image
def get_config(self):
return super().get_config()
model = models.Sequential()
model.add(layers.Input(shape=(215, 538, 3)))
model.add(FilterLayer(filter=self.filter))
model.add(layers.Conv2D(32, (3, 3), activation="relu"))
model.add(layers.MaxPooling2D(pool_size=(2, 2)))
model.add(layers.Conv2D(32, (3, 3), activation="relu"))
model.add(layers.GlobalAveragePooling2D())
model.add(layers.Dropout(rate=0.4))
model.add(layers.Dense(32, activation="relu"))
model.add(layers.Dropout(rate=0.4))
model.add(layers.Dense(2, activation="softmax"))
return model
```
## Contributors
This work has been possible thanks to:
- [Fernando Pérez Lara](https://www.linkedin.com/in/fernandoperezlara/) ([**@FernandoPerezLara**](https://github.com/FernandoPerezLara)) for having developed the model to make this idea come true.
## License
Copyright (c) 2021 Fernando Pérez Lara.
Licensed and distributed under the [MIT](LICENSE.txt) license.
|
explosion/de_udv25_germanhdt_trf | explosion | 2021-12-11T11:13:30Z | 6 | 0 | spacy | [
"spacy",
"token-classification",
"de",
"license:cc-by-sa-4.0",
"model-index",
"region:us"
] | token-classification | 2022-03-02T23:29:05Z | ---
tags:
- spacy
- token-classification
language:
- de
license: cc-by-sa-4.0
model-index:
- name: de_udv25_germanhdt_trf
results:
- task:
name: TAG
type: token-classification
metrics:
- name: TAG (XPOS) Accuracy
type: accuracy
value: 0.9783706437
- task:
name: POS
type: token-classification
metrics:
- name: POS (UPOS) Accuracy
type: accuracy
value: 0.9782287343
- task:
name: MORPH
type: token-classification
metrics:
- name: Morph (UFeats) Accuracy
type: accuracy
value: 0.7811165904
- task:
name: LEMMA
type: token-classification
metrics:
- name: Lemma Accuracy
type: accuracy
value: 0.9204479606
- task:
name: UNLABELED_DEPENDENCIES
type: token-classification
metrics:
- name: Unlabeled Attachment Score (UAS)
type: f_score
value: 0.9728029281
- task:
name: LABELED_DEPENDENCIES
type: token-classification
metrics:
- name: Labeled Attachment Score (LAS)
type: f_score
value: 0.9588036494
- task:
name: SENTS
type: token-classification
metrics:
- name: Sentences F-Score
type: f_score
value: 0.99750025
---
UD v2.5 benchmarking pipeline for UD_German-HDT
| Feature | Description |
| --- | --- |
| **Name** | `de_udv25_germanhdt_trf` |
| **Version** | `0.0.1` |
| **spaCy** | `>=3.2.1,<3.3.0` |
| **Default Pipeline** | `experimental_char_ner_tokenizer`, `transformer`, `tagger`, `morphologizer`, `parser`, `experimental_edit_tree_lemmatizer` |
| **Components** | `experimental_char_ner_tokenizer`, `transformer`, `senter`, `tagger`, `morphologizer`, `parser`, `experimental_edit_tree_lemmatizer` |
| **Vectors** | 0 keys, 0 unique vectors (0 dimensions) |
| **Sources** | [Universal Dependencies v2.5](https://lindat.mff.cuni.cz/repository/xmlui/handle/11234/1-3105) (Zeman, Daniel; et al.) |
| **License** | `CC BY-SA 4.0` |
| **Author** | [Explosion](https://explosion.ai) |
### Label Scheme
<details>
<summary>View label scheme (62832 labels for 6 components)</summary>
| Component | Labels |
| --- | --- |
| **`experimental_char_ner_tokenizer`** | `TOKEN` |
| **`senter`** | `I`, `S` |
| **`tagger`** | `$(`, `$,`, `$.`, `ADJA`, `ADJD`, `ADV`, `APPO`, `APPR`, `APPRART`, `APZR`, `ART`, `CARD`, `FM`, `ITJ`, `KOKOM`, `KON`, `KOUI`, `KOUS`, `NE`, `NN`, `PDAT`, `PDS`, `PIAT`, `PIDAT`, `PIS`, `PPER`, `PPOSAT`, `PPOSS`, `PRELAT`, `PRELS`, `PRF`, `PROAV`, `PTKA`, `PTKANT`, `PTKNEG`, `PTKVZ`, `PTKZU`, `PWAT`, `PWAV`, `PWS`, `TRUNC`, `VAFIN`, `VAIMP`, `VAINF`, `VAPP`, `VMFIN`, `VMINF`, `VMPP`, `VVFIN`, `VVIMP`, `VVINF`, `VVIZU`, `VVPP`, `XY` |
| **`morphologizer`** | `AdpType=Prep\|Case=Dat\|POS=ADP`, `Case=Dat\|Gender=Fem\|Number=Sing\|POS=DET\|PronType=Art`, `Degree=Pos\|Gender=Fem\|Number=Sing\|POS=ADJ`, `Gender=Fem\|Number=Sing\|POS=NOUN\|Person=3`, `Mood=Ind\|Number=Sing\|POS=VERB\|Person=3\|Tense=Pres\|VerbForm=Fin`, `Case=Dat\|Gender=Neut\|Number=Sing\|POS=PRON\|Person=3\|PronType=Ind,Neg,Tot`, `Case=Nom\|Number=Sing\|POS=PROPN\|Person=3`, `Foreign=Yes\|POS=X\|Person=3`, `POS=PUNCT\|PunctType=Comm`, `Case=Nom\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=3\|PronType=Ind,Neg,Tot`, `Case=Gen\|Number=Plur\|POS=DET\|PronType=Art`, `Case=Gen\|Degree=Sup\|Gender=Masc\|Number=Plur\|POS=ADJ`, `Gender=Masc\|Number=Plur\|POS=NOUN\|Person=3`, `Gender=Neut\|Number=Sing\|POS=NOUN\|Person=3`, `AdpType=Prep\|POS=ADP`, `Gender=Neut\|Number=Plur\|POS=NOUN\|Person=3`, `POS=CCONJ`, `POS=PUNCT\|PunctType=Peri`, `NumType=Card\|Number=Plur\|POS=NUM\|Person=3`, `Gender=Fem\|Number=Plur\|POS=NOUN\|Person=3`, `AdpType=Prep\|Case=Dat\|POS=ADP\|PronType=Art`, `Gender=Masc\|Number=Sing\|POS=NOUN\|Person=3`, `Case=Gen\|Gender=Neut\|Number=Sing\|POS=DET\|PronType=Art`, `Case=Gen\|Gender=Neut\|Number=Sing\|POS=NOUN\|Person=3`, `Mood=Ind\|Number=Sing\|POS=VERB\|Person=3\|Tense=Past\|VerbForm=Fin`, `Case=Nom\|Gender=Neut\|Number=Sing\|POS=DET\|PronType=Art`, `Degree=Pos\|Gender=Neut\|Number=Sing\|POS=ADJ`, `POS=PUNCT\|PunctType=Brck`, `POS=PROPN\|Person=3`, `Case=Acc\|Gender=Fem\|Number=Sing\|POS=DET\|PronType=Art`, `POS=ADV`, `POS=SCONJ`, `Case=Nom\|Gender=Neut\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs`, `POS=VERB\|VerbForm=Inf`, `Mood=Ind\|Number=Sing\|POS=AUX\|Person=3\|Tense=Pres\|VerbForm=Fin`, `Case=Nom\|Gender=Fem\|Number=Sing\|POS=DET\|PronType=Art`, `Degree=Sup\|Gender=Fem\|Number=Sing\|POS=ADJ`, `Case=Dat\|Number=Plur\|POS=DET\|PronType=Art`, `Case=Dat\|Gender=Masc\|Number=Plur\|POS=NOUN\|Person=3`, `Mood=Ind\|Number=Sing\|POS=AUX\|Person=3\|Tense=Pres\|VerbForm=Fin\|VerbType=Mod`, `Case=Acc\|Number=Plur\|POS=DET\|PronType=Art`, `Case=Acc\|Number=Sing\|POS=PROPN\|Person=3`, `Degree=Cmp\|POS=ADJ\|Variant=Short`, `POS=ADP\|PartType=Vbp`, `Mood=Ind\|Number=Plur\|POS=AUX\|Person=3\|Tense=Pres\|VerbForm=Fin\|VerbType=Mod`, `AdpType=Prep\|Case=Acc\|POS=ADP`, `Case=Dat\|Degree=Pos\|Gender=Masc\|Number=Plur\|POS=ADJ`, `Case=Nom\|Gender=Fem\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs`, `POS=PART\|Polarity=Neg`, `Degree=Cmp\|POS=ADV`, `ConjType=Comp\|POS=CCONJ`, `Degree=Pos\|POS=ADJ\|Variant=Short`, `Case=Gen\|Degree=Pos\|Gender=Neut\|Number=Plur\|POS=ADJ`, `Number=Sing\|POS=PROPN\|Person=3`, `Case=Nom\|Number=Sing\|POS=DET\|PronType=Art`, `Case=Nom\|Gender=Masc\|Number=Sing\|POS=DET\|Person=3`, `Case=Acc\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=3\|PronType=Ind,Neg,Tot`, `Case=Acc\|Number=Plur\|POS=DET\|Person=3\|PronType=Ind,Neg,Tot`, `Aspect=Perf\|POS=VERB\|VerbForm=Part`, `Case=Dat\|Gender=Neut\|Number=Sing\|POS=DET\|PronType=Art`, `Case=Gen\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Art`, `Case=Gen\|Gender=Masc\|Number=Sing\|POS=NOUN\|Person=3`, `Case=Acc\|POS=PRON\|Person=3\|PronType=Prs\|Reflex=Yes`, `Case=Nom\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Art`, `Case=Nom\|Degree=Sup\|Gender=Masc\|Number=Sing\|POS=ADJ`, `Case=Acc\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Art`, `Case=Acc\|Number=Plur\|POS=DET\|Person=3`, `Degree=Sup\|POS=ADJ\|Variant=Short`, `Case=Nom\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=ADJ`, `Hyph=Yes\|POS=NOUN`, `Case=Nom\|Number=Plur\|POS=PRON\|Person=1\|PronType=Prs`, `Mood=Ind\|Number=Plur\|POS=AUX\|Person=1\|Tense=Pres\|VerbForm=Fin`, `Case=Acc\|Gender=Neut\|Number=Sing\|POS=PRON\|Person=3\|PronType=Ind,Neg,Tot`, `Case=Acc\|Gender=Fem\|Number=Sing\|POS=PRON\|Person=1\|Poss=Yes\|PronType=Prs`, `Case=Dat\|Degree=Sup\|Gender=Neut\|Number=Plur\|POS=ADJ`, `Case=Dat\|Gender=Neut\|Number=Plur\|POS=NOUN\|Person=3`, `POS=PART\|PartType=Inf`, `Case=Gen\|Gender=Fem\|Number=Sing\|POS=DET\|PronType=Art`, `Case=Dat\|Degree=Pos\|Number=Sing\|POS=ADJ`, `POS=NOUN\|Person=3`, `Case=Dat\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Art`, `Case=Gen\|Degree=Pos\|Number=Sing\|POS=ADJ`, `POS=AUX\|VerbForm=Inf`, `Case=Dat\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=ADJ`, `Gender=Fem\|Number=Plur\|POS=ADJ`, `POS=AUX\|VerbForm=Inf\|VerbType=Mod`, `Mood=Ind\|Number=Plur\|POS=AUX\|Person=3\|Tense=Pres\|VerbForm=Fin`, `Degree=Pos\|Number=Sing\|POS=ADJ`, `Case=Nom\|Number=Plur\|POS=DET\|Person=3\|PronType=Ind,Neg,Tot`, `AdpType=Prep\|Case=Dat\|Gender=Fem\|POS=ADP\|PronType=Art`, `Degree=Pos\|Number=Plur\|POS=ADJ`, `Case=Nom\|Number=Sing\|POS=PRON\|Person=3\|PronType=Ind,Neg,Tot`, `Case=Dat\|Gender=Masc\|Number=Sing\|POS=NOUN\|Person=3`, `POS=ADJ`, `Degree=Cmp\|POS=DET\|Person=3\|PronType=Ind,Neg,Tot`, `Case=Dat\|Degree=Pos\|Gender=Fem\|Number=Sing\|POS=ADJ`, `Case=Nom\|Gender=Masc\|Number=Sing\|POS=ADJ\|Person=3`, `Case=Nom\|Number=Plur\|POS=DET\|PronType=Art`, `POS=ADV\|PronType=Int`, `Degree=Pos\|Gender=Masc\|Number=Sing\|POS=ADJ`, `Case=Dat\|Number=Sing\|POS=PROPN\|Person=3`, `Case=Acc\|Gender=Neut\|Number=Sing\|POS=DET\|PronType=Art`, `Mood=Ind\|Number=Plur\|POS=VERB\|Person=3\|Tense=Pres\|VerbForm=Fin`, `Case=Nom\|Number=Plur\|POS=DET\|Person=3`, `Case=Acc\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=ADJ`, `Mood=Ind\|Number=Plur\|POS=AUX\|Person=3\|Tense=Past\|VerbForm=Fin`, `Case=Acc\|Number=Plur\|POS=PRON\|Person=3\|Poss=Yes\|PronType=Prs`, `Case=Acc\|Gender=Fem\|Number=Sing\|POS=PRON\|Person=3\|Poss=Yes\|PronType=Prs`, `Degree=Pos\|POS=ADJ`, `Case=Gen\|Degree=Pos\|Gender=Masc\|Number=Plur\|POS=ADJ`, `Mood=Ind\|Number=Sing\|POS=AUX\|Person=3\|Tense=Past\|VerbForm=Fin`, `Mood=Ind\|Number=Sing\|POS=AUX\|Person=3\|Tense=Past\|VerbForm=Fin\|VerbType=Mod`, `Gender=Neut\|Number=Sing\|POS=PRON\|Person=3\|PronType=Ind,Neg,Tot`, `Case=Gen\|Degree=Cmp\|Gender=Neut\|Number=Plur\|POS=ADJ`, `Case=Gen\|Gender=Fem\|Number=Sing\|POS=DET\|PronType=Dem`, `Mood=Ind\|Number=Sing\|POS=AUX\|Person=1\|Tense=Pres\|VerbForm=Fin\|VerbType=Mod`, `Number=Plur\|POS=NOUN\|Person=3`, `Case=Nom\|Gender=Neut\|Number=Sing\|POS=PRON\|Person=3\|PronType=Rel`, `Mood=Ind\|Number=Plur\|POS=AUX\|Person=3\|Tense=Past\|VerbForm=Fin\|VerbType=Mod`, `Gender=Fem\|Number=Sing\|POS=PROPN\|Person=3`, `Degree=Pos\|POS=ADV`, `Case=Nom\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs`, `Case=Dat\|Gender=Fem\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs`, `Case=Nom\|Degree=Pos\|Gender=Neut\|Number=Plur\|POS=ADJ`, `Mood=Ind\|Number=Plur\|POS=VERB\|Person=3\|Tense=Past\|VerbForm=Fin`, `Degree=Cmp\|Number=Sing\|POS=DET\|Person=3\|PronType=Ind,Neg,Tot`, `AdpType=Prep\|Case=Gen\|POS=ADP`, `Degree=Pos\|Gender=Masc\|Number=Plur\|POS=ADJ`, `Case=Dat\|Number=Plur\|POS=PRON\|Person=3\|PronType=Rel`, `AdpType=Post\|Case=Dat\|POS=ADP`, `Gender=Masc\|Number=Sing\|POS=PROPN\|Person=3`, `Case=Acc\|Gender=Neut\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs`, `Case=Nom\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=3\|PronType=Rel`, `Case=Gen\|Gender=Fem\|Number=Sing\|POS=DET\|Person=3`, `Case=Acc\|Degree=Sup\|Gender=Masc\|Number=Sing\|POS=ADJ`, `Case=Acc\|Degree=Cmp\|Gender=Masc\|Number=Sing\|POS=ADJ`, `Aspect=Perf\|POS=AUX\|VerbForm=Part`, `Gender=Fem\|Number=Sing\|POS=ADJ`, `Case=Dat\|Number=Plur\|POS=ADJ\|Person=3`, `Case=Acc\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=3\|PronType=Rel`, `Degree=Cmp\|Gender=Neut\|Number=Plur\|POS=ADJ`, `Case=Nom\|Gender=Fem\|Number=Sing\|POS=DET\|PronType=Dem`, `Gender=Masc\|Number=Sing\|POS=ADJ\|Person=3`, `Case=Nom\|Gender=Masc\|Number=Sing\|POS=NOUN\|Person=3`, `Case=Nom\|Gender=Neut\|Number=Sing\|POS=DET\|Person=3\|PronType=Ind,Neg,Tot`, `Case=Dat\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=3\|Poss=Yes\|PronType=Prs`, `Case=Dat\|Number=Sing\|POS=PRON\|Person=3\|PronType=Ind,Neg,Tot`, `Number=Sing\|POS=NOUN\|Person=3`, `Case=Nom\|Number=Plur\|POS=PRON\|Person=3\|PronType=Ind,Neg,Tot`, `Degree=Pos\|Gender=Fem\|Number=Plur\|POS=ADJ`, `Degree=Pos\|Number=Plur\|POS=NOUN\|Person=3`, `Degree=Pos\|Gender=Neut\|Number=Plur\|POS=ADJ`, `Case=Dat\|Degree=Cmp\|Number=Sing\|POS=ADJ`, `Case=Acc\|Degree=Pos\|Gender=Neut\|Number=Plur\|POS=ADJ`, `Case=Dat\|Gender=Neut\|Number=Sing\|POS=NOUN\|Person=3`, `Case=Gen\|Degree=Pos\|Gender=Fem\|Number=Plur\|POS=ADJ`, `Case=Nom\|Number=Plur\|POS=PRON\|Person=3\|PronType=Rel`, `Case=Nom\|Gender=Neut\|Number=Sing\|POS=ADJ\|Person=3`, `Case=Acc\|Gender=Fem\|Number=Sing\|POS=DET\|PronType=Dem`, `Case=Dat\|Degree=Pos\|Gender=Fem\|Number=Plur\|POS=ADJ`, `Case=Nom\|Number=Plur\|POS=DET\|PronType=Int`, `Case=Gen\|Degree=Pos\|Number=Plur\|POS=ADJ`, `Degree=Sup\|POS=ADV`, `Case=Dat\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Dem`, `Case=Acc\|Degree=Pos\|Gender=Masc\|Number=Plur\|POS=ADJ`, `Degree=Sup\|Number=Plur\|POS=ADJ\|Person=3`, `Degree=Cmp\|Gender=Masc\|Number=Plur\|POS=ADJ`, `Case=Dat\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Int`, `NumType=Card\|Number=Sing\|POS=NUM\|Person=3`, `Case=Dat\|Number=Plur\|POS=PRON\|Person=3\|Poss=Yes\|PronType=Prs`, `Case=Gen\|Number=Plur\|POS=DET\|Person=3`, `Case=Dat\|POS=PRON\|Person=3\|PronType=Prs\|Reflex=Yes`, `Case=Acc\|Gender=Fem\|Number=Sing\|POS=PRON\|Person=3\|PronType=Rel`, `Number=Plur\|POS=PROPN\|Person=3`, `Case=Nom\|Gender=Masc\|Number=Sing\|POS=DET\|Person=3\|PronType=Ind,Neg,Tot`, `Case=Nom\|Number=Sing\|POS=PRON\|Person=1\|PronType=Prs`, `Mood=Ind\|Number=Sing\|POS=VERB\|Person=1\|Tense=Pres\|VerbForm=Fin`, `Number=Sing\|POS=ADJ\|Person=3`, `Case=Nom\|Number=Sing\|POS=PRON\|Person=3\|PronType=Int`, `Number=Sing\|POS=PRON\|Person=3\|PronType=Ind,Neg,Tot`, `Case=Acc\|Gender=Neut\|Number=Sing\|POS=DET\|Person=3\|PronType=Ind,Neg,Tot`, `Case=Dat\|Gender=Masc\|Number=Sing\|POS=DET\|Person=3`, `Case=Nom\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Dem`, `Case=Nom\|Degree=Pos\|Gender=Masc\|Number=Plur\|POS=ADJ`, `Gender=Masc\|Number=Plur\|POS=ADJ`, `Case=Dat\|Number=Plur\|POS=DET\|PronType=Dem`, `Gender=Masc\|Number=Sing\|POS=ADJ`, `AdpType=Prep\|Case=Acc\|Gender=Neut\|POS=ADP\|PronType=Art`, `Case=Gen\|Number=Sing\|POS=PROPN\|Person=3`, `Degree=Cmp\|Gender=Neut\|Number=Sing\|POS=ADJ`, `Case=Dat\|Gender=Fem\|Number=Sing\|POS=DET\|Person=3\|PronType=Ind,Neg,Tot`, `Case=Dat\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=3\|PronType=Ind,Neg,Tot`, `Mood=Imp\|Number=Sing\|POS=VERB\|Person=2\|VerbForm=Fin`, `Case=Dat\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=3\|PronType=Rel`, `Case=Nom\|Number=Plur\|POS=ADJ\|Person=3`, `POS=DET\|PronType=Dem`, `Case=Acc\|Degree=Pos\|Number=Plur\|POS=ADJ`, `Case=Gen\|Gender=Masc\|Number=Plur\|POS=NOUN\|Person=3`, `Case=Nom\|Number=Plur\|POS=DET\|PronType=Dem`, `Case=Nom\|Gender=Fem\|Number=Plur\|POS=ADJ`, `Case=Acc\|Degree=Pos\|Gender=Fem\|Number=Plur\|POS=ADJ`, `Case=Gen\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=3\|Poss=Yes\|PronType=Prs`, `Case=Acc\|Gender=Neut\|Number=Sing\|POS=PRON\|Person=3\|Poss=Yes\|PronType=Prs`, `Case=Nom\|Degree=Pos\|Gender=Fem\|Number=Sing\|POS=ADJ`, `Case=Gen\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=ADJ`, `Case=Nom\|Number=Plur\|POS=PRON\|Person=3\|PronType=Prs`, `Case=Dat\|Gender=Neut\|Number=Sing\|POS=DET\|PronType=Dem`, `Case=Acc\|Gender=Masc\|Number=Sing\|POS=DET\|Person=3\|PronType=Ind,Neg,Tot`, `Case=Acc\|Gender=Masc\|Number=Sing\|POS=ADJ\|Person=3`, `Case=Nom\|Gender=Fem\|Number=Sing\|POS=PRON\|Person=3\|PronType=Rel`, `Case=Dat\|Number=Plur\|POS=DET\|Person=3\|PronType=Ind,Neg,Tot`, `Degree=Cmp\|Number=Plur\|POS=ADJ`, `Case=Acc\|Gender=Fem\|Number=Sing\|POS=DET\|Person=3\|PronType=Ind,Neg,Tot`, `Case=Dat\|Gender=Masc\|Number=Sing\|POS=ADJ`, `Case=Dat\|Gender=Masc\|Number=Sing\|POS=DET\|Person=3\|PronType=Ind,Neg,Tot`, `Degree=Cmp\|Gender=Fem\|Number=Sing\|POS=ADJ`, `Case=Nom\|Degree=Pos\|Number=Plur\|POS=ADJ`, `Case=Dat\|Gender=Masc\|Number=Sing\|POS=ADJ\|Person=3`, `POS=ADJ\|Person=3`, `Case=Gen\|Degree=Pos\|Gender=Fem\|Number=Sing\|POS=ADJ`, `Case=Dat\|Gender=Fem\|Number=Sing\|POS=PRON\|Person=3\|PronType=Rel`, `Case=Acc\|Number=Plur\|POS=DET\|PronType=Dem`, `AdpType=Circ\|POS=ADP`, `Case=Dat\|Number=Plur\|POS=PRON\|Person=1\|Poss=Yes\|PronType=Prs`, `Case=Dat\|Gender=Fem\|Number=Plur\|POS=NOUN\|Person=3`, `Case=Nom\|Degree=Pos\|Gender=Fem\|Number=Plur\|POS=ADJ`, `Case=Nom\|Gender=Fem\|Number=Sing\|POS=DET\|Person=3`, `Case=Nom\|Gender=Neut\|Number=Sing\|POS=PRON\|Person=3\|PronType=Dem`, `Case=Nom\|Gender=Neut\|Number=Plur\|POS=ADJ`, `Case=Acc\|Number=Plur\|POS=PRON\|Person=3\|PronType=Rel`, `Gender=Neut\|Number=Sing\|POS=ADJ`, `Case=Acc\|Number=Sing\|POS=DET\|PronType=Art`, `Case=Dat\|Degree=Pos\|Gender=Neut\|Number=Plur\|POS=ADJ`, `Case=Nom\|Degree=Sup\|Gender=Fem\|Number=Plur\|POS=ADJ`, `Case=Nom\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=3\|PronType=Dem`, `Case=Acc\|Gender=Neut\|Number=Sing\|POS=DET\|PronType=Dem`, `Case=Dat\|Degree=Pos\|Number=Plur\|POS=ADJ`, `Case=Acc\|Gender=Neut\|Number=Sing\|POS=PRON\|Person=3\|PronType=Dem`, `Degree=Cmp\|Gender=Neut\|Number=Sing\|POS=PRON\|Person=3\|PronType=Ind,Neg,Tot`, `AdpType=Prep\|Case=Nom\|POS=ADP`, `Degree=Cmp\|Gender=Fem\|Number=Plur\|POS=ADJ`, `Degree=Cmp\|Number=Sing\|POS=ADJ`, `Case=Gen\|Number=Plur\|POS=PRON\|Person=3\|Poss=Yes\|PronType=Prs`, `POS=DET\|PronType=Rel`, `Case=Acc\|Gender=Fem\|Number=Sing\|POS=DET\|PronType=Int`, `Gender=Neut\|Number=Plur\|POS=ADJ`, `Case=Nom\|Gender=Fem\|Number=Sing\|POS=PRON\|Person=3\|Poss=Yes\|PronType=Prs`, `Case=Acc\|Gender=Masc\|Number=Sing\|POS=ADJ`, `Case=Dat\|Degree=Pos\|Gender=Neut\|Number=Sing\|POS=ADJ`, `Case=Acc\|Gender=Neut\|Number=Sing\|POS=PRON\|Person=3\|PronType=Rel`, `Case=Nom\|Gender=Neut\|Number=Sing\|POS=DET\|Person=3`, `Case=Dat\|Degree=Sup\|Gender=Fem\|Number=Plur\|POS=ADJ`, `Case=Acc\|Number=Plur\|POS=PRON\|Person=3\|PronType=Prs`, `Case=Acc\|Degree=Pos\|Number=Plur\|POS=ADJ\|Person=3`, `Case=Dat\|Gender=Neut\|Number=Sing\|POS=PRON\|Person=3\|Poss=Yes\|PronType=Prs`, `Case=Dat\|Gender=Fem\|Number=Sing\|POS=DET\|PronType=Dem`, `Case=Dat\|Gender=Fem\|Number=Sing\|POS=DET\|Person=3`, `Case=Dat\|Degree=Pos\|Number=Plur\|POS=NOUN\|Person=3`, `Case=Dat\|Gender=Fem\|Number=Sing\|POS=PRON\|Person=3\|Poss=Yes\|PronType=Prs`, `Case=Acc\|Gender=Fem\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs`, `Case=Dat\|Gender=Neut\|Number=Sing\|POS=ADJ`, `Case=Nom\|Gender=Fem\|Number=Sing\|POS=DET\|Person=3\|PronType=Ind,Neg,Tot`, `Case=Gen\|Number=Plur\|POS=DET\|Person=3\|PronType=Ind,Neg,Tot`, `Case=Dat\|Degree=Cmp\|Gender=Fem\|Number=Plur\|POS=ADJ`, `Case=Dat\|Degree=Cmp\|Gender=Neut\|Number=Plur\|POS=ADJ`, `Case=Dat\|Gender=Neut\|Number=Sing\|POS=DET\|Person=3\|PronType=Ind,Neg,Tot`, `Case=Nom\|Number=Plur\|POS=PRON\|Person=3\|PronType=Dem`, `Case=Nom\|Gender=Neut\|Number=Sing\|POS=PRON\|Person=3\|PronType=Ind,Neg,Tot`, `Case=Acc\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs`, `Mood=Ind\|Number=Plur\|POS=VERB\|Person=1\|Tense=Pres\|VerbForm=Fin`, `Case=Dat\|Gender=Neut\|Number=Sing\|POS=PRON\|Person=3\|PronType=Rel`, `Case=Nom\|Gender=Masc\|Number=Sing\|POS=PROPN\|Person=3`, `Case=Dat\|Gender=Masc\|Number=Plur\|POS=ADJ`, `Foreign=Yes\|POS=X`, `Case=Dat\|Gender=Masc\|Number=Sing\|POS=PROPN\|Person=3`, `Case=Dat\|Number=Plur\|POS=DET\|PronType=Int`, `Case=Gen\|Gender=Neut\|Number=Sing\|POS=ADJ\|Person=3`, `Case=Gen\|Gender=Masc\|Number=Sing\|POS=ADJ\|Person=3`, `Case=Acc\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Dem`, `Case=Acc\|Degree=Pos\|Gender=Neut\|Number=Sing\|POS=ADJ`, `Case=Dat\|Gender=Fem\|Number=Sing\|POS=NOUN\|Person=3`, `Case=Gen\|POS=PROPN\|Person=3`, `Case=Dat\|Number=Plur\|POS=DET\|Person=3`, `Case=Acc\|Number=Plur\|POS=PRON\|Person=3\|PronType=Dem`, `Case=Gen\|Number=Plur\|POS=NOUN\|Person=3`, `Case=Acc\|Number=Sing\|POS=PRON\|Person=3\|PronType=Int`, `POS=PRON\|Person=3\|PronType=Ind,Neg,Tot`, `Case=Gen\|Number=Plur\|POS=DET\|PronType=Dem`, `Case=Gen\|Number=Plur\|POS=ADJ\|Person=3`, `POS=DET`, `Case=Gen\|Number=Plur\|POS=PRON\|Person=3\|PronType=Dem`, `Case=Dat\|Gender=Neut\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs`, `POS=X`, `Case=Gen\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Dem`, `Case=Nom\|Gender=Fem\|Number=Sing\|POS=ADJ\|Person=3`, `Case=Gen\|Gender=Neut\|Number=Sing\|POS=ADJ`, `AdpType=Post\|Case=Acc\|POS=ADP`, `Case=Dat\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs`, `Case=Gen\|Gender=Neut\|Number=Sing\|POS=PRON\|Person=3\|Poss=Yes\|PronType=Prs`, `Case=Nom\|Gender=Fem\|Number=Sing\|POS=PRON\|Person=3\|PronType=Dem`, `Case=Dat\|Number=Plur\|POS=NOUN\|Person=3`, `Case=Gen\|Degree=Cmp\|Gender=Fem\|Number=Plur\|POS=ADJ`, `Case=Dat\|Degree=Sup\|Number=Sing\|POS=ADJ`, `Degree=Sup\|Number=Plur\|POS=ADJ`, `POS=DET\|Person=3\|PronType=Ind,Neg,Tot`, `Case=Gen\|Gender=Neut\|Number=Sing\|POS=DET\|PronType=Dem`, `Case=Acc\|Gender=Neut\|Number=Sing\|POS=PRON\|Person=3\|PronType=Int`, `Case=Dat\|Degree=Cmp\|Number=Plur\|POS=ADJ`, `Case=Nom\|Degree=Pos\|Gender=Neut\|Number=Sing\|POS=ADJ`, `Case=Gen\|Degree=Pos\|Gender=Neut\|Number=Sing\|POS=ADJ`, `Case=Acc\|Gender=Neut\|Number=Sing\|POS=PRON\|Person=1\|Poss=Yes\|PronType=Prs`, `Case=Dat\|Number=Plur\|POS=PRON\|Person=1\|PronType=Prs`, `Case=Dat\|Number=Plur\|POS=PRON\|Person=3\|PronType=Dem`, `Case=Nom\|Degree=Pos\|Number=Plur\|POS=ADJ\|Person=3`, `Case=Acc\|Degree=Sup\|Gender=Neut\|Number=Plur\|POS=ADJ`, `Case=Nom\|Gender=Neut\|Number=Sing\|POS=NOUN\|Person=3`, `Case=Nom\|Gender=Neut\|Number=Sing\|POS=PRON\|Person=3\|PronType=Int`, `Degree=Sup\|Gender=Neut\|Number=Sing\|POS=ADJ`, `Case=Dat\|Gender=Fem\|Number=Sing\|POS=PRON\|Person=3\|PronType=Dem`, `Case=Acc\|Gender=Fem\|Number=Sing\|POS=DET\|Person=3`, `Case=Gen\|Number=Sing\|POS=NOUN\|Person=3`, `NumType=Card\|POS=NUM`, `Case=Acc\|Gender=Fem\|Number=Sing\|POS=ADJ\|Person=3`, `Case=Nom\|Gender=Neut\|Number=Sing\|POS=DET\|PronType=Dem`, `Case=Gen\|Degree=Sup\|Number=Sing\|POS=ADJ`, `Case=Acc\|Gender=Fem\|Number=Plur\|POS=DET\|PronType=Dem`, `Case=Nom\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=3\|Poss=Yes\|PronType=Prs`, `Case=Acc\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=1\|Poss=Yes\|PronType=Prs`, `Gender=Neut\|Number=Sing\|POS=DET\|Person=3\|PronType=Ind,Neg,Tot`, `Case=Dat\|Number=Plur\|POS=PRON\|Person=1\|PronType=Prs\|Reflex=Yes`, `Case=Dat\|Gender=Fem\|Number=Sing\|POS=DET\|PronType=Int`, `Degree=Cmp\|Gender=Masc\|Number=Sing\|POS=ADJ`, `Case=Acc\|Gender=Neut\|Number=Sing\|POS=DET\|Person=3`, `Case=Acc\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Int`, `Case=Dat\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=3\|PronType=Dem`, `Case=Gen\|Gender=Fem\|Number=Sing\|POS=PRON\|Person=3\|PronType=Ind,Neg,Tot`, `Case=Acc\|Degree=Pos\|Gender=Fem\|Number=Sing\|POS=ADJ`, `Case=Acc\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=3\|Poss=Yes\|PronType=Prs`, `Number=Plur\|POS=ADJ\|Person=3`, `Case=Acc\|Number=Plur\|POS=PRON\|Person=1\|PronType=Prs\|Reflex=Yes`, `Case=Dat\|Gender=Neut\|Number=Sing\|POS=PRON\|Person=1\|Poss=Yes\|PronType=Prs`, `Case=Nom\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=NOUN\|Person=3`, `Number=Plur\|POS=PRON\|Person=3\|PronType=Ind,Neg,Tot`, `Case=Nom\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=3\|PronType=Int`, `Degree=Sup\|Number=Sing\|POS=ADJ`, `Case=Acc\|Gender=Masc\|Number=Sing\|POS=DET\|Person=3`, `Mood=Ind\|Number=Plur\|POS=AUX\|Person=1\|Tense=Pres\|VerbForm=Fin\|VerbType=Mod`, `Case=Dat\|Number=Plur\|POS=PRON\|Person=3\|PronType=Prs`, `Case=Acc\|Gender=Neut\|Number=Sing\|POS=ADJ\|Person=3`, `Degree=Pos\|Number=Sing\|POS=NOUN\|Person=3`, `Case=Acc\|Number=Plur\|POS=ADJ\|Person=3`, `Case=Acc\|Number=Plur\|POS=PRON\|Person=3\|PronType=Ind,Neg,Tot`, `Number=Sing\|POS=DET\|Person=3\|PronType=Ind,Neg,Tot`, `Case=Dat\|Degree=Cmp\|Gender=Masc\|Number=Plur\|POS=ADJ`, `Case=Nom\|Degree=Sup\|Number=Plur\|POS=ADJ`, `Case=Nom\|Degree=Sup\|Gender=Masc\|Number=Plur\|POS=ADJ`, `Degree=Sup\|Gender=Masc\|Number=Sing\|POS=ADJ`, `Number=Sing\|POS=ADJ`, `Case=Nom\|Gender=Masc\|Number=Sing\|POS=ADJ`, `Degree=Pos\|Gender=Fem\|Number=Sing\|POS=NOUN\|Person=3`, `Case=Dat\|Number=Sing\|POS=PRON\|Person=1\|PronType=Prs`, `Case=Gen\|Gender=Fem\|Number=Sing\|POS=ADJ`, `Case=Nom\|Gender=Fem\|Number=Sing\|POS=NOUN\|Person=3`, `Case=Acc\|Gender=Fem\|Number=Sing\|POS=PRON\|Person=3\|PronType=Ind,Neg,Tot`, `Case=Nom\|Number=Plur\|POS=PRON\|Person=3\|Poss=Yes\|PronType=Prs`, `Case=Dat\|Gender=Fem\|Number=Sing\|POS=ADJ\|Person=3`, `Degree=Sup\|Number=Plur\|POS=PRON\|Person=3\|PronType=Ind,Neg,Tot`, `Case=Acc\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=3\|PronType=Dem`, `Case=Acc\|Number=Plur\|POS=DET\|PronType=Int`, `Case=Acc\|Gender=Fem\|Number=Sing\|POS=PRON\|Person=3\|PronType=Dem`, `Case=Dat\|Gender=Fem\|Number=Plur\|POS=ADJ`, `Case=Dat\|Number=Sing\|POS=PRON\|Person=3\|PronType=Int`, `Case=Nom\|Degree=Cmp\|Gender=Masc\|Number=Sing\|POS=ADJ`, `Case=Dat\|Gender=Neut\|Number=Sing\|POS=PRON\|Person=3\|PronType=Dem`, `Case=Acc\|Degree=Cmp\|Gender=Neut\|Number=Plur\|POS=ADJ`, `Case=Nom\|Gender=Neut\|Number=Sing\|POS=PRON\|Person=3\|Poss=Yes\|PronType=Prs`, `Case=Dat\|Gender=Fem\|Number=Sing\|POS=ADJ`, `Case=Acc\|Gender=Masc\|Number=Plur\|POS=ADJ`, `Case=Dat\|Degree=Sup\|Gender=Masc\|Number=Plur\|POS=ADJ`, `Mood=Ind\|POS=VERB\|Person=3\|VerbForm=Fin`, `Case=Gen\|Gender=Masc\|Number=Sing\|POS=PROPN\|Person=3`, `Case=Acc\|Number=Plur\|POS=PRON\|Person=2\|PronType=Prs`, `Case=Acc\|Number=Plur\|POS=PRON\|Person=1\|PronType=Prs`, `Case=Gen\|Degree=Cmp\|Number=Sing\|POS=ADJ`, `Case=Acc\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=NOUN\|Person=3`, `POS=ADJ\|Variant=Short`, `Case=Gen\|Gender=Fem\|Number=Sing\|POS=PROPN\|Person=3`, `Case=Nom\|Gender=Neut\|Number=Sing\|POS=ADJ`, `Foreign=Yes\|Number=Sing\|POS=X`, `Case=Nom\|Degree=Sup\|Gender=Neut\|Number=Plur\|POS=ADJ`, `Case=Nom\|Gender=Neut\|Number=Sing\|POS=PRON\|Person=1\|Poss=Yes\|PronType=Prs`, `Case=Dat\|Gender=Fem\|Number=Sing\|POS=PRON\|Person=3\|PronType=Ind,Neg,Tot`, `Case=Gen\|Gender=Fem\|Number=Sing\|POS=PRON\|Person=3\|Poss=Yes\|PronType=Prs`, `Case=Gen\|Number=Plur\|POS=PRON\|Person=1\|Poss=Yes\|PronType=Prs`, `Aspect=Perf\|POS=AUX\|VerbForm=Part\|VerbType=Mod`, `Mood=Ind\|Number=Sing\|POS=VERB\|Person=1\|Tense=Past\|VerbForm=Fin`, `Mood=Ind\|Number=Sing\|POS=AUX\|Person=1\|Tense=Pres\|VerbForm=Fin`, `Case=Acc\|Number=Sing\|POS=PRON\|Person=1\|PronType=Prs\|Reflex=Yes`, `Gender=Masc\|POS=NOUN\|Person=3`, `Case=Acc\|Degree=Sup\|Gender=Fem\|Number=Plur\|POS=ADJ`, `Case=Dat\|Number=Sing\|POS=ADJ`, `Gender=Neut\|Number=Sing\|POS=ADJ\|Person=3`, `Case=Dat\|Gender=Fem\|Number=Sing\|POS=PRON\|Person=1\|Poss=Yes\|PronType=Prs`, `Case=Acc\|Number=Sing\|POS=PRON\|Person=3\|PronType=Ind,Neg,Tot`, `Case=Dat\|Number=Sing\|POS=PRON\|Person=1\|PronType=Prs\|Reflex=Yes`, `Case=Dat\|Number=Plur\|POS=PRON\|Person=3\|PronType=Ind,Neg,Tot`, `Case=Nom\|POS=PROPN`, `Case=Nom\|Gender=Fem\|Number=Sing\|POS=PROPN\|Person=3`, `Case=Dat\|Gender=Neut\|Number=Sing\|POS=ADJ\|Person=3`, `Case=Gen\|Gender=Masc\|Number=Sing\|POS=ADJ`, `Mood=Ind\|Number=Sing\|POS=AUX\|Person=1\|Tense=Past\|VerbForm=Fin`, `Case=Gen\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=3\|PronType=Ind,Neg,Tot`, `Case=Gen\|Degree=Sup\|Gender=Fem\|Number=Plur\|POS=ADJ`, `Case=Gen\|Gender=Neut\|Number=Sing\|POS=PRON\|Person=3\|PronType=Dem`, `Case=Nom\|Degree=Cmp\|Gender=Neut\|Number=Plur\|POS=ADJ`, `Case=Acc\|Gender=Fem\|Number=Sing\|POS=ADJ`, `POS=INTJ\|PartType=Res`, `Mood=Ind\|Number=Plur\|POS=VERB\|Person=1\|Tense=Past\|VerbForm=Fin`, `Mood=Ind\|Number=Plur\|POS=VERB\|Person=2\|Tense=Past\|VerbForm=Fin`, `Foreign=Yes\|Gender=Neut\|Number=Sing\|POS=X\|Person=3`, `Case=Acc\|Number=Plur\|POS=PRON\|Person=1\|Poss=Yes\|PronType=Prs`, `Case=Nom\|Gender=Fem\|Number=Sing\|POS=PRON\|Person=3\|PronType=Ind,Neg,Tot`, `Case=Dat\|Gender=Neut\|Number=Plur\|POS=ADJ`, `Case=Nom\|Number=Plur\|POS=PRON\|Person=2\|PronType=Prs`, `Mood=Ind\|Number=Plur\|POS=AUX\|Person=2\|Tense=Pres\|VerbForm=Fin\|VerbType=Mod`, `Case=Dat\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=1\|Poss=Yes\|PronType=Prs`, `POS=DET\|PronType=Int`, `Case=Acc\|Degree=Cmp\|Gender=Fem\|Number=Plur\|POS=ADJ`, `Mood=Ind\|Number=Plur\|POS=VERB\|Person=3\|VerbForm=Fin`, `Degree=Pos\|Gender=Neut\|Number=Sing\|POS=NOUN\|Person=3`, `Gender=Neut\|Number=Sing\|POS=PROPN\|Person=3`, `Case=Nom\|POS=NOUN\|Person=3`, `Mood=Ind\|Number=Plur\|POS=VERB\|Person=1\|VerbForm=Fin`, `Mood=Imp\|Number=Plur\|POS=VERB\|Person=2\|VerbForm=Fin`, `Case=Dat\|Gender=Fem\|Number=Sing\|POS=PROPN\|Person=3`, `Case=Nom\|Gender=Fem\|Number=Sing\|POS=PRON\|Person=1\|Poss=Yes\|PronType=Prs`, `Case=Gen\|Degree=Cmp\|Number=Plur\|POS=ADJ`, `Case=Dat\|Number=Plur\|POS=ADJ`, `Case=Acc\|Gender=Masc\|Number=Sing\|POS=NOUN\|Person=3`, `Case=Acc\|Gender=Neut\|Number=Plur\|POS=ADJ`, `Case=Gen\|Number=Plur\|POS=PRON\|Person=3\|PronType=Rel`, `Degree=Sup\|Gender=Masc\|Number=Plur\|POS=ADJ`, `Case=Acc\|Gender=Fem\|Number=Plur\|POS=ADJ`, `Case=Gen\|NumType=Card\|Number=Plur\|POS=NUM\|Person=3`, `Case=Nom\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Int`, `Mood=Ind\|Number=Plur\|POS=VERB\|Person=2\|Tense=Pres\|VerbForm=Fin`, `Case=Gen\|Gender=Neut\|Number=Plur\|POS=ADJ`, `Case=Gen\|Number=Plur\|POS=PRON\|Person=3\|PronType=Ind,Neg,Tot`, `Case=Gen\|Gender=Fem\|Number=Sing\|POS=DET\|Person=3\|PronType=Ind,Neg,Tot`, `Case=Nom\|Gender=Masc\|Number=Plur\|POS=NOUN\|Person=3`, `POS=PROPN`, `Case=Gen\|Gender=Fem\|Number=Plur\|POS=ADJ`, `Case=Acc\|Degree=Cmp\|Gender=Masc\|Number=Plur\|POS=ADJ`, `Case=Dat\|Gender=Neut\|Number=Sing\|POS=DET\|Person=3`, `Mood=Ind\|Number=Plur\|POS=AUX\|Person=1\|Tense=Past\|VerbForm=Fin\|VerbType=Mod`, `Case=Acc\|POS=NOUN\|Person=3`, `Case=Nom\|Gender=Fem\|Number=Sing\|POS=ADJ`, `Case=Gen\|Degree=Cmp\|Gender=Masc\|Number=Plur\|POS=ADJ`, `Case=Nom\|Degree=Cmp\|Gender=Masc\|Number=Plur\|POS=ADJ`, `Case=Gen\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=1\|Poss=Yes\|PronType=Prs`, `Mood=Ind\|Number=Sing\|POS=VERB\|Person=3\|VerbForm=Fin`, `Case=Acc\|Number=Plur\|POS=ADJ`, `Case=Nom\|Gender=Fem\|Number=Sing\|POS=DET\|Person=3\|PronType=Art`, `Case=Nom\|Gender=Masc\|Number=Plur\|POS=ADJ`, `Case=Gen\|Degree=Pos\|Number=Plur\|POS=ADJ\|Person=3`, `Case=Nom\|Degree=Cmp\|Gender=Fem\|Number=Plur\|POS=ADJ`, `Case=Nom\|Gender=Fem\|Number=Sing\|POS=DET\|PronType=Int`, `Case=Nom\|Number=Plur\|POS=PRON\|Person=1\|Poss=Yes\|PronType=Prs`, `Case=Dat\|Gender=Masc\|Number=Plur\|POS=PROPN\|Person=3`, `Degree=Sup\|Gender=Fem\|Number=Plur\|POS=ADJ`, `Case=Acc\|Gender=Fem\|Number=Sing\|POS=NOUN\|Person=3`, `Case=Gen\|Degree=Sup\|Gender=Neut\|Number=Plur\|POS=ADJ`, `Case=Acc\|Gender=Masc\|Number=Sing\|POS=PROPN\|Person=3`, `Case=Nom\|Gender=Neut\|Number=Sing\|POS=DET\|PronType=Int`, `Number=Plur\|POS=DET\|Person=3`, `Case=Nom\|Number=Plur\|POS=ADJ`, `Case=Nom\|Degree=Cmp\|Number=Plur\|POS=ADJ`, `Case=Gen\|Gender=Neut\|Number=Sing\|POS=PRON\|Person=1\|Poss=Yes\|PronType=Prs`, `Hyph=Yes\|Number=Plur\|POS=NOUN\|Person=3`, `Mood=Ind\|Number=Plur\|POS=AUX\|Person=1\|Tense=Past\|VerbForm=Fin`, `Case=Dat\|POS=PROPN\|Person=3`, `Case=Gen\|Number=Plur\|POS=ADJ`, `Case=Gen\|Number=Sing\|POS=DET\|PronType=Art`, `Case=Gen\|Gender=Fem\|Number=Sing\|POS=PRON\|Person=3\|PronType=Rel`, `Case=Acc\|Degree=Sup\|Number=Plur\|POS=ADJ`, `Case=Dat\|Degree=Pos\|Number=Sing\|POS=NOUN\|Person=3`, `Case=Acc\|Gender=Fem\|Number=Plur\|POS=DET\|PronType=Art`, `Degree=Cmp\|Gender=Neut\|Number=Plur\|POS=PRON\|Person=3\|PronType=Ind,Neg,Tot`, `Degree=Pos\|Number=Sing\|POS=ADJ\|Person=3`, `POS=PRON\|Person=3\|PronType=Prs\|Reflex=Yes`, `Case=Dat\|Degree=Pos\|Number=Plur\|POS=ADJ\|Person=3`, `Case=Gen\|Gender=Fem\|Number=Sing\|POS=ADJ\|Person=3`, `Case=Acc\|Number=Sing\|POS=DET\|PronType=Dem`, `Case=Nom\|Degree=Pos\|Number=Plur\|POS=PRON\|Person=3\|PronType=Ind,Neg,Tot`, `Case=Gen\|Degree=Sup\|Number=Plur\|POS=ADJ`, `Case=Dat\|Degree=Sup\|Gender=Masc\|Number=Sing\|POS=ADJ`, `Degree=Sup\|Gender=Neut\|Number=Plur\|POS=ADJ`, `Case=Acc\|Gender=Neut\|Number=Sing\|POS=DET\|PronType=Int`, `Case=Gen\|Number=Sing\|POS=PRON\|Person=3\|PronType=Ind,Neg,Tot`, `Case=Gen\|Gender=Masc\|Number=Sing\|POS=DET\|Person=3`, `Case=Acc\|Number=Sing\|POS=PRON\|Person=3\|Poss=Yes\|PronType=Prs`, `Case=Gen\|Gender=Masc\|Number=Plur\|POS=ADJ`, `Case=Acc\|Degree=Sup\|Gender=Masc\|Number=Plur\|POS=ADJ`, `Case=Dat\|POS=PRON\|PronType=Ind,Neg,Tot`, `Case=Gen\|Gender=Fem\|Number=Sing\|POS=PRON\|Person=1\|Poss=Yes\|PronType=Prs`, `Case=Nom\|Number=Plur\|POS=PRON\|PronType=Int`, `Case=Gen\|Gender=Fem\|Number=Plur\|POS=DET\|PronType=Art`, `Case=Nom\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=1\|Poss=Yes\|PronType=Prs`, `Mood=Ind\|Number=Sing\|POS=AUX\|Person=1\|Tense=Past\|VerbForm=Fin\|VerbType=Mod`, `Case=Acc\|Degree=Pos\|Gender=Neut\|Number=Plur\|POS=PRON\|Person=3\|PronType=Ind,Neg,Tot`, `Case=Nom\|Gender=Neut\|Number=Sing\|POS=PROPN\|Person=3`, `Case=Dat\|Degree=Sup\|Number=Plur\|POS=ADJ`, `POS=PRON\|PronType=Int`, `Degree=Pos\|Number=Plur\|POS=ADJ\|Person=3`, `Case=Acc\|Number=Sing\|POS=PRON\|Person=1\|PronType=Prs`, `Hyph=Yes\|POS=NOUN\|Person=3`, `Degree=Pos\|Number=Sing\|POS=PRON\|Person=3\|PronType=Ind,Neg,Tot`, `Case=Dat\|NumType=Card\|Number=Plur\|POS=NUM\|Person=3`, `Case=Gen\|Gender=Neut\|Number=Sing\|POS=DET\|Person=3`, `Case=Nom\|Number=Sing\|POS=PRON\|Person=2\|PronType=Prs`, `Mood=Ind\|Number=Sing\|POS=AUX\|Person=2\|Tense=Pres\|VerbForm=Fin`, `Case=Dat\|Number=Sing\|POS=PRON\|Person=2\|PronType=Prs\|Reflex=Yes`, `Case=Dat\|Number=Sing\|POS=PRON\|Person=2\|PronType=Prs`, `Case=Nom\|Gender=Neut\|Number=Sing\|POS=PRON\|Person=2\|Poss=Yes\|PronType=Prs`, `Case=Dat\|Gender=Fem\|Number=Sing\|POS=PRON\|Person=2\|Poss=Yes\|PronType=Prs`, `Mood=Ind\|Number=Sing\|POS=VERB\|Person=2\|Tense=Pres\|VerbForm=Fin`, `POS=INTJ`, `Case=Nom\|Gender=Fem\|Number=Plur\|POS=DET\|PronType=Art`, `Case=Acc\|Degree=Cmp\|Number=Plur\|POS=ADJ`, `Case=Acc\|Number=Sing\|POS=ADJ\|Person=3`, `Case=Nom\|Number=Sing\|POS=PRON\|PronType=Rel`, `Case=Acc\|Gender=Neut\|Number=Sing\|POS=ADJ`, `Case=Acc\|Gender=Masc\|Number=Plur\|POS=NOUN\|Person=3`, `Case=Nom\|Number=Plur\|POS=PRON\|Person=3\|PronType=Int`, `Case=Acc\|Gender=Fem\|Number=Sing\|POS=PRON\|Person=3\|PronType=Int`, `Case=Nom\|Gender=Fem\|Number=Sing\|POS=PRON\|Person=3\|PronType=Int`, `Case=Dat\|Degree=Pos\|Number=Plur\|POS=PRON\|Person=3\|PronType=Ind,Neg,Tot`, `Case=Nom\|Number=Sing\|POS=DET\|PronType=Dem`, `Case=Nom\|Gender=Fem\|Number=Plur\|POS=DET\|PronType=Dem`, `Case=Nom\|POS=SCONJ`, `Case=Dat\|Number=Plur\|POS=PRON\|Person=3\|PronType=Int`, `Case=Gen\|Gender=Fem\|Number=Plur\|POS=DET\|PronType=Dem`, `Case=Dat\|Number=Sing\|POS=DET\|Person=3\|PronType=Art`, `Case=Gen\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=3\|PronType=Dem`, `Case=Gen\|Gender=Fem\|Number=Sing\|POS=NOUN\|Person=3`, `AdpType=Post\|Case=Gen\|POS=ADP`, `Case=Gen\|Gender=Fem\|Number=Sing\|POS=DET\|PronType=Int`, `Case=Nom\|Number=Plur\|POS=NOUN\|Person=3`, `Case=Dat\|Gender=Neut\|Number=Sing\|POS=DET\|PronType=Int`, `Case=Acc\|Number=Plur\|POS=PRON\|Person=2\|PronType=Prs\|Reflex=Yes`, `Number=Plur\|POS=ADJ`, `Case=Acc\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=3\|PronType=Int`, `Case=Acc\|Gender=Neut\|Number=Sing\|POS=NOUN\|Person=3`, `Case=Gen\|Degree=Pos\|Number=Plur\|POS=NOUN\|Person=3`, `Case=Dat\|Number=Plur\|POS=PRON\|Person=2\|PronType=Prs`, `Case=Acc\|Degree=Pos\|Number=Plur\|POS=PRON\|Person=3\|PronType=Ind,Neg,Tot`, `Mood=Ind\|POS=VERB\|Person=3\|Tense=Past\|VerbForm=Fin`, `Case=Gen\|Gender=Neut\|Number=Sing\|POS=PRON\|Person=3\|PronType=Ind,Neg,Tot`, `Case=Gen\|Degree=Pos\|Number=Plur\|POS=PRON\|Person=3\|PronType=Ind,Neg,Tot`, `Case=Nom\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs`, `Case=Acc\|Gender=Neut\|Number=Sing\|POS=ADV`, `Case=Gen\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=3\|PronType=Rel`, `Case=Acc\|POS=PROPN\|Person=3`, `Case=Nom\|Number=Sing\|POS=PRON\|Person=3\|Poss=Yes\|PronType=Prs`, `POS=DET\|PronType=Ind,Neg,Tot`, `Degree=Pos\|POS=ADJ\|Person=3`, `Case=Acc\|Number=Sing\|POS=DET\|Person=3\|PronType=Ind,Neg,Tot`, `Case=Nom\|POS=PROPN\|Person=3`, `Case=Nom\|Number=Sing\|POS=ADJ\|Person=3`, `Case=Acc\|Gender=Fem\|Number=Sing\|POS=PROPN\|Person=3`, `AdpType=Prep\|Case=Acc\|Gender=Fem\|POS=ADP\|PronType=Art`, `Degree=Pos\|POS=PRON\|Person=3\|PronType=Ind,Neg,Tot`, `Case=Nom\|POS=PRON\|PronType=Rel`, `Case=Acc\|POS=PRON\|PronType=Rel`, `Mood=Ind\|Number=Plur\|POS=AUX\|Person=3\|VerbForm=Fin`, `Case=Nom\|Gender=Neut\|Number=Plur\|POS=NOUN\|Person=3`, `AdpType=Prep\|Case=Dat\|Gender=Neut\|POS=ADP\|PronType=Art`, `Case=Acc\|Number=Plur\|POS=PRON\|Person=3\|PronType=Int`, `Case=Dat\|POS=NOUN\|Person=3`, `Degree=Pos\|POS=VERB\|VerbForm=Inf`, `Number=Sing\|POS=PRON\|Person=3\|Poss=Yes\|PronType=Prs`, `Case=Dat\|Number=Plur\|POS=PRON\|Person=3\|PronType=Prs\|Reflex=Yes`, `Gender=Masc\|Number=Sing\|POS=ADJ\|Person=3\|Variant=Short`, `Case=Acc\|Gender=Neut\|Number=Plur\|POS=NOUN\|Person=3`, `Case=Dat\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Art`, `Case=Acc\|Gender=Fem\|Number=Sing\|POS=PRON\|Person=2\|Poss=Yes\|PronType=Prs`, `Gender=Neut\|Number=Sing\|POS=SCONJ\|Person=3`, `Case=Gen\|Gender=Neut\|Number=Sing\|POS=PRON\|Person=2\|Poss=Yes\|PronType=Prs`, `Case=Acc\|Number=Sing\|POS=PRON\|Person=2\|PronType=Prs\|Reflex=Yes`, `Mood=Ind\|POS=AUX\|Person=3\|VerbForm=Fin`, `Case=Nom\|Gender=Neut\|Number=Sing\|POS=DET\|Person=3\|PronType=Dem`, `Case=Acc\|Number=Plur\|POS=PRON\|Person=2\|Poss=Yes\|PronType=Prs`, `Case=Acc\|Number=Sing\|POS=PRON\|Person=2\|PronType=Prs`, `Case=Acc\|Gender=Neut\|Number=Sing\|POS=PRON\|Person=2\|Poss=Yes\|PronType=Prs`, `Case=Nom\|Gender=Fem\|Number=Sing\|POS=PRON\|Person=2\|Poss=Yes\|PronType=Prs`, `Mood=Imp\|Number=Plur\|POS=AUX\|Person=2\|VerbForm=Fin`, `Case=Gen\|Gender=Fem\|Number=Sing\|POS=PRON\|Person=3\|PronType=Dem`, `Mood=Ind\|Number=Plur\|POS=VERB\|Person=2\|VerbForm=Fin`, `POS=PRON\|Person=3\|Poss=Yes\|PronType=Prs`, `Case=Gen\|Gender=Neut\|Number=Sing\|POS=DET\|Person=3\|PronType=Ind,Neg,Tot`, `Mood=Imp\|Number=Sing\|POS=AUX\|Person=2\|VerbForm=Fin`, `Mood=Ind\|POS=VERB\|Person=1\|VerbForm=Fin`, `Case=Dat\|Number=Sing\|POS=NOUN\|Person=3`, `Case=Gen\|Gender=Neut\|Number=Sing\|POS=PRON\|Person=3\|PronType=Rel`, `Mood=Ind\|Number=Plur\|POS=AUX\|Person=2\|Tense=Pres\|VerbForm=Fin`, `Case=Nom\|Degree=Pos\|Gender=Neut\|Number=Plur\|POS=PRON\|Person=3\|PronType=Ind,Neg,Tot`, `Number=Sing\|POS=DET\|PronType=Art`, `Case=Nom\|POS=DET\|PronType=Art`, `Degree=Pos\|Number=Plur\|POS=PRON\|Person=3\|PronType=Ind,Neg,Tot`, `AdpType=Prep\|POS=ADP\|PronType=Art`, `Number=Sing\|POS=PRON\|PronType=Ind,Neg,Tot`, `Degree=Sup\|Number=Plur\|POS=DET\|Person=3`, `Case=Gen\|Gender=Masc\|Number=Sing\|POS=DET\|Person=3\|PronType=Ind,Neg,Tot`, `Number=Sing\|POS=DET`, `Case=Nom\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=2\|Poss=Yes\|PronType=Prs`, `Mood=Ind\|Number=Plur\|POS=AUX\|Person=2\|Tense=Past\|VerbForm=Fin\|VerbType=Mod`, `Case=Nom\|Number=Plur\|POS=PRON\|Person=2\|Poss=Yes\|PronType=Prs`, `Case=Acc\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=2\|Poss=Yes\|PronType=Prs`, `Case=Acc\|Number=Plur\|POS=PRON\|Person=3\|PronType=Prs\|Reflex=Yes`, `Case=Dat\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=2\|Poss=Yes\|PronType=Prs`, `Mood=Ind\|Number=Sing\|POS=VERB\|Person=2\|VerbForm=Fin`, `Mood=Ind\|Number=Sing\|POS=AUX\|Person=2\|Tense=Pres\|VerbForm=Fin\|VerbType=Mod`, `Case=Gen\|Number=Plur\|POS=PRON\|Person=1\|PronType=Prs`, `Case=Dat\|Number=Plur\|POS=PRON\|Person=2\|PronType=Prs\|Reflex=Yes`, `Case=Gen\|Gender=Fem\|Number=Sing\|POS=PRON\|Person=2\|Poss=Yes\|PronType=Prs`, `Mood=Ind\|Number=Sing\|POS=AUX\|Person=3\|VerbForm=Fin`, `Case=Dat\|Number=Sing\|POS=ADJ\|Person=3`, `Case=Gen\|Degree=Pos\|Number=Sing\|POS=NOUN\|Person=3`, `AdpType=Prep\|Case=Dat\|Gender=Masc\|POS=ADP\|PronType=Art`, `Case=Acc\|Gender=Neut\|Number=Sing\|POS=DET\|Person=3\|PronType=Dem`, `Degree=Pos\|Gender=Neut\|POS=ADJ`, `Gender=Fem\|POS=ADJ`, `Degree=Pos\|Gender=Fem\|POS=ADJ`, `Gender=Masc\|POS=ADJ`, `Mood=Ind\|Number=Plur\|POS=AUX\|Person=3\|VerbForm=Fin\|VerbType=Mod`, `Mood=Ind\|Number=Sing\|POS=AUX\|Person=3\|VerbForm=Fin\|VerbType=Mod`, `POS=DET\|Person=3`, `Mood=Ind\|Number=Sing\|POS=AUX\|Person=1\|VerbForm=Fin\|VerbType=Mod`, `Mood=Ind\|Number=Sing\|POS=AUX\|Person=1\|VerbForm=Fin`, `Mood=Ind\|Number=Plur\|POS=AUX\|Person=1\|VerbForm=Fin` |
| **`parser`** | `ROOT`, `acl`, `advcl`, `advmod`, `amod`, `appos`, `aux`, `aux:pass`, `case`, `cc`, `ccomp`, `compound:prt`, `conj`, `cop`, `csubj`, `csubj:pass`, `dep`, `det`, `discourse`, `expl`, `expl:pv`, `flat`, `flat:name`, `iobj`, `mark`, `nmod`, `nsubj`, `nsubj:pass`, `nummod`, `obj`, `obl`, `parataxis`, `punct`, `reparandum`, `vocative`, `xcomp` |
| **`experimental_edit_tree_lemmatizer`** | -- |
</details>
### Accuracy
| Type | Score |
| --- | --- |
| `TOKEN_F` | 100.00 |
| `TOKEN_P` | 100.00 |
| `TOKEN_R` | 100.00 |
| `TOKEN_ACC` | 100.00 |
| `SENTS_F` | 99.75 |
| `SENTS_P` | 99.74 |
| `SENTS_R` | 99.76 |
| `TAG_ACC` | 97.84 |
| `POS_ACC` | 97.82 |
| `MORPH_ACC` | 78.11 |
| `DEP_UAS` | 97.28 |
| `DEP_LAS` | 95.88 |
| `LEMMA_ACC` | 92.04 |
|
explosion/es_udv25_spanishancora_trf | explosion | 2021-12-11T07:23:23Z | 5 | 0 | spacy | [
"spacy",
"token-classification",
"es",
"license:gpl-3.0",
"model-index",
"region:us"
] | token-classification | 2022-03-02T23:29:05Z | ---
tags:
- spacy
- token-classification
language:
- es
license: gpl-3.0
model-index:
- name: es_udv25_spanishancora_trf
results:
- task:
name: TAG
type: token-classification
metrics:
- name: TAG (XPOS) Accuracy
type: accuracy
value: 0.9891586707
- task:
name: POS
type: token-classification
metrics:
- name: POS (UPOS) Accuracy
type: accuracy
value: 0.9903472868
- task:
name: MORPH
type: token-classification
metrics:
- name: Morph (UFeats) Accuracy
type: accuracy
value: 0.9795632752
- task:
name: LEMMA
type: token-classification
metrics:
- name: Lemma Accuracy
type: accuracy
value: 0.9892930745
- task:
name: UNLABELED_DEPENDENCIES
type: token-classification
metrics:
- name: Unlabeled Attachment Score (UAS)
type: f_score
value: 0.9398674862
- task:
name: LABELED_DEPENDENCIES
type: token-classification
metrics:
- name: Labeled Attachment Score (LAS)
type: f_score
value: 0.9194891243
- task:
name: SENTS
type: token-classification
metrics:
- name: Sentences F-Score
type: f_score
value: 0.9798617373
---
UD v2.5 benchmarking pipeline for UD_Spanish-AnCora
| Feature | Description |
| --- | --- |
| **Name** | `es_udv25_spanishancora_trf` |
| **Version** | `0.0.1` |
| **spaCy** | `>=3.2.1,<3.3.0` |
| **Default Pipeline** | `experimental_char_ner_tokenizer`, `transformer`, `tagger`, `morphologizer`, `parser`, `experimental_edit_tree_lemmatizer` |
| **Components** | `experimental_char_ner_tokenizer`, `transformer`, `senter`, `tagger`, `morphologizer`, `parser`, `experimental_edit_tree_lemmatizer` |
| **Vectors** | 0 keys, 0 unique vectors (0 dimensions) |
| **Sources** | [Universal Dependencies v2.5](https://lindat.mff.cuni.cz/repository/xmlui/handle/11234/1-3105) (Zeman, Daniel; et al.) |
| **License** | `GNU GPL 3.0` |
| **Author** | [Explosion](https://explosion.ai) |
### Label Scheme
<details>
<summary>View label scheme (2060 labels for 6 components)</summary>
| Component | Labels |
| --- | --- |
| **`experimental_char_ner_tokenizer`** | `TOKEN` |
| **`senter`** | `I`, `S` |
| **`tagger`** | `ADJ`, `ADP`, `ADV`, `AUX`, `AUX_PRON`, `CCONJ`, `DET`, `INTJ`, `NOUN`, `NUM`, `PART`, `PRON`, `PROPN`, `PUNCT`, `PUNCT_VERB_PRON_PUNCT`, `SCONJ`, `SYM`, `VERB`, `VERB_PRON`, `X` |
| **`morphologizer`** | `Definite=Def\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Art`, `Gender=Masc\|Number=Sing\|POS=NOUN`, `AdpType=Preppron\|POS=ADP`, `Gender=Masc\|Number=Sing\|POS=ADJ`, `AdpType=Prep\|POS=ADP`, `Definite=Def\|Gender=Fem\|Number=Plur\|POS=DET\|PronType=Art`, `POS=PROPN`, `Case=Acc,Dat\|POS=PRON\|Person=3\|PrepCase=Npr\|PronType=Prs\|Reflex=Yes`, `Mood=Ind\|Number=Sing\|POS=VERB\|Person=3\|Tense=Past\|VerbForm=Fin`, `POS=VERB\|VerbForm=Inf`, `Gender=Fem\|Number=Sing\|POS=DET\|PronType=Dem`, `Gender=Fem\|Number=Sing\|POS=NOUN`, `Gender=Fem\|Number=Plur\|POS=NOUN`, `Gender=Fem\|Number=Plur\|POS=DET\|PronType=Ind`, `POS=PRON\|PronType=Int,Rel`, `Mood=Sub\|Number=Plur\|POS=VERB\|Person=3\|Tense=Pres\|VerbForm=Fin`, `Definite=Def\|Gender=Fem\|Number=Sing\|POS=DET\|PronType=Art`, `POS=SCONJ`, `POS=NOUN`, `Definite=Def\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Art`, `Number=Plur\|POS=NOUN`, `Gender=Masc\|Number=Plur\|POS=DET\|PronType=Ind`, `Gender=Masc\|Number=Plur\|POS=NOUN`, `POS=PUNCT\|PunctType=Peri`, `Mood=Ind\|Number=Sing\|POS=VERB\|Person=3\|Tense=Pres\|VerbForm=Fin`, `POS=PUNCT\|PunctType=Comm`, `Case=Acc\|Gender=Fem\|Number=Sing\|POS=VERB\|Person=3\|PrepCase=Npr\|PronType=Prs\|VerbForm=Inf`, `Mood=Ind\|Number=Plur\|POS=AUX\|Person=3\|Tense=Pres\|VerbForm=Fin`, `Gender=Masc\|Number=Sing\|POS=VERB\|Tense=Past\|VerbForm=Part`, `Number=Plur\|POS=ADJ`, `POS=CCONJ`, `Gender=Masc\|Number=Plur\|POS=PRON\|PronType=Ind`, `POS=ADV`, `Mood=Ind\|Number=Plur\|POS=VERB\|Person=3\|Tense=Fut\|VerbForm=Fin`, `Gender=Masc\|NumType=Card\|Number=Plur\|POS=DET\|PronType=Dem`, `Mood=Ind\|Number=Sing\|POS=AUX\|Person=3\|Tense=Pres\|VerbForm=Fin`, `Number=Sing\|POS=ADJ`, `Gender=Masc\|Number=Plur\|POS=ADJ\|VerbForm=Part`, `Gender=Masc\|Number=Plur\|POS=PRON\|PronType=Tot`, `POS=PRON\|PronType=Ind`, `POS=ADV\|Polarity=Neg`, `Case=Acc\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=3\|PrepCase=Npr\|PronType=Prs`, `Gender=Fem\|Number=Sing\|POS=ADJ`, `Mood=Ind\|Number=Plur\|POS=VERB\|Person=3\|Tense=Past\|VerbForm=Fin`, `Number=Plur\|POS=PRON\|PronType=Int,Rel`, `POS=PUNCT\|PunctType=Quot`, `POS=PUNCT`, `Gender=Masc\|Number=Sing\|POS=ADJ\|VerbForm=Part`, `POS=PUNCT\|PunctSide=Ini\|PunctType=Brck`, `POS=PUNCT\|PunctSide=Fin\|PunctType=Brck`, `NumForm=Digit\|NumType=Card\|POS=NUM`, `NumType=Card\|POS=NUM`, `POS=VERB\|VerbForm=Ger`, `Definite=Ind\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Art`, `Gender=Masc\|Number=Sing\|POS=DET\|PronType=Dem`, `Gender=Fem\|NumType=Ord\|Number=Plur\|POS=ADJ`, `Number=Sing\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Number=Sing\|POS=NOUN`, `Gender=Masc\|Number=Plur\|POS=ADJ`, `Mood=Ind\|Number=Sing\|POS=AUX\|Person=3\|Tense=Fut\|VerbForm=Fin`, `Gender=Fem\|Number=Sing\|POS=ADJ\|VerbForm=Part`, `Mood=Ind\|Number=Plur\|POS=VERB\|Person=3\|Tense=Pres\|VerbForm=Fin`, `Degree=Cmp\|POS=ADV`, `POS=AUX\|VerbForm=Inf`, `Number=Plur\|POS=DET\|PronType=Ind`, `Number=Plur\|POS=DET\|PronType=Dem`, `Degree=Cmp\|Number=Sing\|POS=ADJ`, `Mood=Ind\|Number=Sing\|POS=VERB\|Person=3\|Tense=Fut\|VerbForm=Fin`, `Case=Acc,Dat\|POS=VERB\|Person=3\|PrepCase=Npr\|PronType=Prs\|Reflex=Yes\|VerbForm=Inf`, `Degree=Sup\|Gender=Masc\|Number=Plur\|POS=ADJ`, `Definite=Ind\|Gender=Fem\|Number=Sing\|POS=DET\|PronType=Art`, `AdvType=Tim\|POS=NOUN`, `AdpType=Prep\|POS=ADV`, `Gender=Masc\|Number=Sing\|POS=PRON\|PronType=Ind`, `NumType=Card\|Number=Plur\|POS=NUM`, `AdpType=Preppron\|POS=ADV`, `Case=Acc\|Gender=Masc\|Number=Sing\|POS=VERB\|Person=3\|PrepCase=Npr\|PronType=Prs\|VerbForm=Inf`, `NumForm=Digit\|POS=NOUN`, `Number=Sing\|POS=PRON\|PronType=Dem`, `AdpType=Preppron\|Gender=Masc\|Number=Sing\|POS=ADJ`, `Number=Plur\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Gender=Fem\|Number=Plur\|POS=ADJ`, `Gender=Fem\|Number=Plur\|POS=PRON\|PronType=Ind`, `Gender=Masc\|Number=Plur\|POS=DET\|PronType=Tot`, `Mood=Ind\|Number=Sing\|POS=VERB\|Person=3\|Tense=Imp\|VerbForm=Fin`, `Mood=Ind\|Number=Plur\|POS=AUX\|Person=3\|Tense=Past\|VerbForm=Fin`, `Gender=Masc\|Number=Plur\|POS=VERB\|Tense=Past\|VerbForm=Part`, `Gender=Masc\|NumType=Ord\|Number=Sing\|POS=ADJ`, `Gender=Masc\|NumType=Ord\|Number=Plur\|POS=ADJ`, `Gender=Masc\|Number=Plur\|POS=DET\|PronType=Dem`, `Gender=Masc\|Number=Sing\|POS=AUX\|Tense=Past\|VerbForm=Part`, `Number=Sing\|POS=DET\|PronType=Tot`, `Gender=Fem\|Number=Sing\|POS=PRON\|PronType=Ind`, `Mood=Ind\|Number=Sing\|POS=AUX\|Person=1\|Tense=Pres\|VerbForm=Fin`, `Mood=Ind\|Number=Sing\|POS=VERB\|Person=1\|Tense=Pres\|VerbForm=Fin`, `Degree=Cmp\|Number=Plur\|POS=ADJ`, `POS=AUX\|VerbForm=Ger`, `Gender=Fem\|POS=NOUN`, `Gender=Fem\|NumType=Ord\|Number=Sing\|POS=ADJ`, `AdvType=Tim\|POS=ADJ`, `Mood=Ind\|Number=Sing\|POS=AUX\|Person=3\|Tense=Past\|VerbForm=Fin`, `Gender=Fem\|Number=Sing\|POS=VERB\|Tense=Past\|VerbForm=Part`, `Case=Acc\|Gender=Fem\|Number=Sing\|POS=PRON\|Person=3\|PrepCase=Npr\|PronType=Prs`, `Mood=Ind\|Number=Sing\|POS=VERB\|Person=1\|Tense=Imp\|VerbForm=Fin`, `Gender=Fem\|Number=Plur\|POS=ADJ\|VerbForm=Part`, `Gender=Fem\|Number=Plur\|POS=DET\|PronType=Dem`, `Gender=Masc\|Number=Sing\|POS=PRON\|Poss=Yes\|PronType=Int,Rel`, `Number=Sing\|POS=PRON\|PronType=Int,Rel`, `POS=ADJ`, `Mood=Ind\|Number=Sing\|POS=AUX\|Person=1\|Tense=Imp\|VerbForm=Fin`, `Mood=Ind\|Number=Plur\|POS=VERB\|Person=3\|Tense=Imp\|VerbForm=Fin`, `Mood=Ind\|Number=Plur\|POS=AUX\|Person=3\|Tense=Imp\|VerbForm=Fin`, `Mood=Sub\|Number=Sing\|POS=VERB\|Person=3\|Tense=Pres\|VerbForm=Fin`, `Gender=Fem\|Number=Plur\|POS=DET\|PronType=Tot`, `Case=Acc,Nom\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs`, `Mood=Sub\|Number=Sing\|POS=VERB\|Person=1\|Tense=Pres\|VerbForm=Fin`, `Definite=Ind\|Gender=Fem\|Number=Plur\|POS=DET\|PronType=Art`, `Case=Acc,Nom\|Gender=Fem\|Number=Plur\|POS=PRON\|Person=3\|PronType=Prs`, `Mood=Ind\|Number=Plur\|POS=VERB\|Person=1\|Tense=Pres\|VerbForm=Fin`, `Case=Acc\|Definite=Def\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=3\|PrepCase=Npr\|PronType=Prs`, `Gender=Fem\|Number=Sing\|POS=PRON\|PronType=Dem`, `Mood=Cnd\|Number=Sing\|POS=VERB\|Person=1\|VerbForm=Fin`, `Gender=Masc\|Number=Sing\|POS=DET\|PronType=Tot`, `Number=Plur\|POS=PRON\|PronType=Ind`, `Gender=Masc\|Number=Sing\|POS=DET\|PronType=Ind`, `Case=Dat\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs`, `POS=PART`, `Gender=Fem\|Number=Sing\|POS=DET\|PronType=Ind`, `Number=Sing\|POS=DET\|PronType=Ind`, `Gender=Masc\|NumType=Card\|Number=Plur\|POS=DET\|PronType=Ind`, `Mood=Cnd\|Number=Plur\|POS=AUX\|Person=3\|VerbForm=Fin`, `NumForm=Digit\|POS=SYM`, `Mood=Imp\|Number=Sing\|POS=VERB\|Person=2\|VerbForm=Fin`, `Case=Dat\|Number=Sing\|POS=VERB\|Person=3\|PronType=Prs\|VerbForm=Inf`, `Gender=Fem\|Number=Plur\|POS=PRON\|PronType=Dem`, `Mood=Cnd\|Number=Sing\|POS=AUX\|Person=1\|VerbForm=Fin`, `NumForm=Digit\|NumType=Frac\|POS=NUM`, `Gender=Fem\|Number=Sing\|POS=PRON\|Poss=Yes\|PronType=Int,Rel`, `Mood=Sub\|Number=Sing\|POS=AUX\|Person=1\|Tense=Pres\|VerbForm=Fin`, `Mood=Sub\|Number=Sing\|POS=VERB\|Person=1\|Tense=Imp\|VerbForm=Fin`, `Gender=Fem\|Number=Sing\|Number[psor]=Plur\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Case=Acc,Dat\|Number=Plur\|POS=PRON\|Person=1\|PrepCase=Npr\|PronType=Prs`, `Definite=Ind\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Art`, `POS=PUNCT\|PunctType=Colo`, `Mood=Sub\|Number=Plur\|POS=AUX\|Person=3\|Tense=Pres\|VerbForm=Fin`, `Mood=Imp\|Number=Plur\|POS=VERB\|Person=3\|VerbForm=Fin`, `Gender=Fem\|Number=Sing\|POS=DET\|PronType=Neg`, `Gender=Masc\|Number=Sing\|POS=PRON\|PronType=Dem`, `Case=Acc\|Gender=Masc\|Number=Plur\|POS=PRON\|Person=3\|PrepCase=Npr\|PronType=Prs`, `Case=Acc\|Gender=Fem\|Number=Plur\|POS=PRON\|Person=3\|PrepCase=Npr\|PronType=Prs`, `Gender=Fem\|Number=Plur\|POS=VERB\|Tense=Past\|VerbForm=Part`, `Case=Acc\|Gender=Fem\|Number=Sing\|POS=AUX\|Person=3\|PrepCase=Npr\|PronType=Prs\|VerbForm=Inf`, `Number=Sing\|POS=PRON\|PronType=Neg`, `POS=PUNCT\|PunctType=Semi`, `Case=Dat\|Number=Plur\|POS=PRON\|Person=3\|PronType=Prs`, `Number=Sing\|POS=PRON\|PronType=Ind`, `Mood=Sub\|Number=Plur\|POS=VERB\|Person=3\|Tense=Imp\|VerbForm=Fin`, `Case=Acc,Nom\|Gender=Masc\|Number=Plur\|POS=PRON\|Person=3\|PronType=Prs`, `POS=INTJ`, `Gender=Masc\|NumType=Card\|Number=Sing\|POS=PRON\|PronType=Dem`, `Mood=Ind\|Number=Plur\|POS=AUX\|Person=3\|Tense=Fut\|VerbForm=Fin`, `Degree=Sup\|Gender=Masc\|Number=Sing\|POS=ADJ`, `Mood=Ind\|Number=Plur\|POS=AUX\|Person=1\|Tense=Pres\|VerbForm=Fin`, `AdpType=Prep\|POS=ADJ`, `Number=Plur\|POS=PRON\|Person=3\|Poss=Yes\|PronType=Prs`, `POS=PUNCT\|PunctType=Dash`, `Mood=Cnd\|Number=Plur\|POS=VERB\|Person=1\|VerbForm=Fin`, `Gender=Masc\|Number=Sing\|POS=DET\|PronType=Neg`, `Gender=Fem\|NumType=Card\|Number=Plur\|POS=NUM`, `Case=Acc\|Gender=Fem\|Number=Plur\|POS=VERB\|Person=3\|PrepCase=Npr\|PronType=Prs\|VerbForm=Inf`, `Gender=Masc\|Number=Sing\|POS=PRON\|PronType=Tot`, `Gender=Masc\|NumType=Card\|Number=Plur\|POS=NUM`, `Gender=Masc\|POS=NOUN`, `Case=Acc,Dat\|Number=Sing\|POS=PRON\|Person=1\|PrepCase=Npr\|PronType=Prs`, `Gender=Fem\|NumType=Card\|Number=Sing\|POS=DET\|PronType=Ind`, `Gender=Fem\|NumType=Card\|Number=Plur\|POS=DET\|PronType=Ind`, `Case=Acc,Dat\|POS=VERB\|Person=3\|PrepCase=Npr\|PronType=Prs\|Reflex=Yes\|VerbForm=Ger`, `Mood=Ind\|Number=Sing\|POS=AUX\|Person=3\|Tense=Imp\|VerbForm=Fin`, `POS=NOUN\|VerbForm=Inf`, `Mood=Ind\|Number=Plur\|POS=AUX\|Person=1\|Tense=Imp\|VerbForm=Fin`, `Mood=Sub\|Number=Sing\|POS=VERB\|Person=3\|Tense=Imp\|VerbForm=Fin`, `Gender=Masc\|Number=Sing\|Number[psor]=Plur\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Gender=Masc\|NumType=Card\|Number=Sing\|POS=NUM`, `Mood=Sub\|Number=Sing\|POS=AUX\|Person=1\|Tense=Imp\|VerbForm=Fin`, `Gender=Masc\|Number=Plur\|POS=PRON\|Poss=Yes\|PronType=Int,Rel`, `Case=Acc\|Gender=Masc\|Number=Plur\|POS=VERB\|Person=3\|PrepCase=Npr\|PronType=Prs\|VerbForm=Inf`, `Gender=Fem\|NumType=Card\|Number=Sing\|POS=DET\|PronType=Dem`, `Mood=Imp\|Number=Sing\|POS=VERB\|Person=3\|VerbForm=Fin`, `Mood=Sub\|Number=Plur\|POS=VERB\|Person=1\|Tense=Pres\|VerbForm=Fin`, `Mood=Ind\|Number=Plur\|POS=VERB\|Person=1\|Tense=Fut\|VerbForm=Fin`, `Gender=Masc\|Number=Sing\|POS=PRON\|PronType=Neg`, `Case=Acc,Dat\|Number=Plur\|POS=VERB\|Person=1\|PrepCase=Npr\|PronType=Prs\|VerbForm=Inf`, `Case=Nom\|Number=Sing\|POS=PRON\|Person=1\|PronType=Prs`, `Mood=Ind\|Number=Sing\|POS=VERB\|Person=1\|Tense=Past\|VerbForm=Fin`, `Mood=Ind\|Number=Plur\|POS=VERB\|Person=1\|Tense=Past\|VerbForm=Fin`, `Degree=Abs\|Gender=Masc\|Number=Sing\|POS=ADJ`, `Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Case=Acc,Nom\|Gender=Masc\|Number=Plur\|POS=PRON\|Person=1\|PronType=Prs`, `Mood=Imp\|Number=Sing\|POS=AUX\|Person=3\|VerbForm=Fin`, `Mood=Sub\|Number=Sing\|POS=AUX\|Person=3\|Tense=Pres\|VerbForm=Fin`, `Gender=Masc\|Number=Sing\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Gender=Fem\|Number=Sing\|POS=DET\|PronType=Tot`, `POS=DET\|PronType=Ind`, `POS=DET\|PronType=Int,Rel`, `AdvType=Tim\|POS=ADV`, `Mood=Cnd\|Number=Sing\|POS=AUX\|Person=3\|VerbForm=Fin`, `POS=PUNCT\|PunctSide=Ini\|PunctType=Qest`, `POS=PUNCT\|PunctSide=Fin\|PunctType=Qest`, `Number=Plur\|Number[psor]=Sing\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Gender=Masc\|NumType=Card\|Number=Sing\|POS=DET\|PronType=Ind`, `Mood=Cnd\|Number=Plur\|POS=VERB\|Person=3\|VerbForm=Fin`, `Case=Acc\|Gender=Fem\|Number=Sing\|POS=VERB\|Person=3\|PrepCase=Npr\|PronType=Prs\|VerbForm=Ger`, `Degree=Abs\|Gender=Fem\|Number=Sing\|POS=ADJ`, `Case=Acc,Dat\|Number=Plur\|POS=PRON\|Person=1\|PrepCase=Npr\|PronType=Prs\|Reflex=Yes`, `Mood=Sub\|Number=Plur\|POS=VERB\|Person=1\|Tense=Imp\|VerbForm=Fin`, `Case=Acc,Dat\|Number=Sing\|POS=PRON\|Person=1\|PrepCase=Npr\|PronType=Prs\|Reflex=Yes`, `POS=PUNCT\|PunctSide=Ini\|PunctType=Excl`, `POS=PUNCT\|PunctSide=Fin\|PunctType=Excl`, `Mood=Cnd\|Number=Sing\|POS=VERB\|Person=3\|VerbForm=Fin`, `Case=Acc,Dat\|Mood=Imp\|Number=Sing\|POS=VERB\|Person=3\|PrepCase=Npr\|PronType=Prs\|Reflex=Yes\|VerbForm=Fin`, `Gender=Fem\|Number=Sing\|POS=PRON\|PronType=Tot`, `Gender=Masc\|Number=Plur\|Number[psor]=Plur\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Mood=Imp\|Number=Plur\|POS=VERB\|Person=1\|VerbForm=Fin`, `Gender=Masc\|NumType=Card\|Number=Plur\|POS=PRON\|PronType=Ind`, `Gender=Masc\|NumType=Card\|Number=Sing\|POS=PRON\|PronType=Ind`, `Gender=Masc\|Number=Plur\|POS=PRON\|PronType=Dem`, `Case=Dat\|Number=Plur\|POS=VERB\|Person=3\|PronType=Prs\|VerbForm=Inf`, `Degree=Abs\|Gender=Masc\|NumType=Card\|Number=Plur\|POS=DET\|PronType=Ind`, `Case=Acc\|Number=Sing\|POS=PRON\|Person=1\|PrepCase=Pre\|PronType=Prs`, `Case=Acc,Dat\|Mood=Imp\|Number=Plur\|POS=VERB\|Person=3\|PrepCase=Npr\|PronType=Prs\|Reflex=Yes\|VerbForm=Fin`, `Definite=Ind\|Gender=Fem\|NumType=Card\|Number=Sing\|POS=DET\|PronType=Art`, `Gender=Fem\|NumType=Card\|Number=Sing\|POS=NUM`, `Mood=Sub\|Number=Plur\|POS=AUX\|Person=3\|Tense=Imp\|VerbForm=Fin`, `Gender=Fem\|Number=Plur\|Number[psor]=Plur\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `POS=SCONJ\|PronType=Int,Rel`, `Case=Acc\|POS=PRON\|Person=3\|PrepCase=Pre\|PronType=Prs\|Reflex=Yes`, `Mood=Ind\|Number=Sing\|POS=VERB\|Person=2\|Tense=Pres\|VerbForm=Fin`, `Case=Acc,Dat\|Number=Sing\|POS=VERB\|Person=1\|PrepCase=Npr\|PronType=Prs\|VerbForm=Inf`, `NumType=Card\|Number=Sing\|POS=DET\|PronType=Ind`, `Mood=Ind\|Number=Plur\|POS=VERB\|Person=1\|Tense=Imp\|VerbForm=Fin`, `Case=Acc,Dat\|Number=Sing\|POS=PRON\|Person=2\|PrepCase=Npr\|PronType=Prs`, `Case=Acc,Nom\|Gender=Fem\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs`, `Number=Sing\|POS=DET\|PronType=Dem`, `Mood=Sub\|Number=Sing\|POS=AUX\|Person=3\|Tense=Imp\|VerbForm=Fin`, `POS=SYM`, `Gender=Fem\|Number=Sing\|POS=PRON\|PronType=Neg`, `Case=Acc\|Gender=Masc\|Number=Sing\|POS=VERB\|Person=3\|PrepCase=Npr\|PronType=Prs\|VerbForm=Ger`, `Degree=Sup\|Gender=Fem\|Number=Sing\|POS=ADJ`, `Case=Nom\|Number=Sing\|POS=PRON\|Person=2\|PronType=Prs`, `Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=2\|Poss=Yes\|PronType=Prs`, `Case=Acc\|Gender=Masc\|Mood=Imp\|Number=Sing\|POS=VERB\|Person=2,3\|PrepCase=Npr\|PronType=Prs\|VerbForm=Fin`, `Mood=Ind\|Number=Sing\|POS=AUX\|Person=1\|Tense=Fut\|VerbForm=Fin`, `Gender=Masc\|Number=Sing\|Number[psor]=Sing\|POS=PRON\|Person=1\|Poss=Yes\|PronType=Ind`, `Case=Acc,Nom\|Number=Sing\|POS=PRON\|Person=2\|Polite=Form\|PronType=Prs`, `Case=Acc\|Gender=Masc\|Number=Plur\|POS=VERB\|Person=3\|PrepCase=Npr\|PronType=Prs\|VerbForm=Ger`, `Gender=Masc\|NumType=Card\|Number=Sing\|POS=PRON\|PronType=Int,Rel`, `Gender=Fem\|NumType=Card\|Number=Plur\|POS=PRON\|PronType=Ind`, `Case=Acc,Dat\|Number=Plur\|POS=VERB\|Person=1\|PrepCase=Npr\|PronType=Prs\|VerbForm=Ger`, `Mood=Ind\|Number=Plur\|POS=VERB\|Person=2\|Tense=Pres\|VerbForm=Fin`, `Mood=Cnd\|Number=Sing\|POS=VERB\|Person=2\|VerbForm=Fin`, `Mood=Ind\|Number=Sing\|POS=VERB\|Person=1\|Tense=Fut\|VerbForm=Fin`, `Mood=Cnd\|Number=Plur\|POS=AUX\|Person=1\|VerbForm=Fin`, `NumType=Card\|Number=Plur\|POS=PRON\|PronType=Ind`, `Gender=Masc\|NumType=Card\|Number=Sing\|POS=DET\|PronType=Dem`, `Degree=Abs\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Ind`, `Gender=Fem\|Number=Plur\|POS=PRON\|Poss=Yes\|PronType=Int,Rel`, `Mood=Ind\|Number=Sing\|POS=AUX\|Person=1\|Tense=Past\|VerbForm=Fin`, `Case=Acc,Nom\|Number=Plur\|POS=PRON\|Person=2\|Polite=Form\|PronType=Prs`, `Mood=Imp\|Number=Sing\|POS=AUX\|Person=2\|VerbForm=Fin`, `Case=Acc,Dat\|Number=Sing\|POS=VERB\|Person=2\|PrepCase=Npr\|PronType=Prs\|VerbForm=Inf`, `Gender=Fem\|Number=Sing\|Number[psor]=Sing\|POS=PRON\|Person=2\|Poss=Yes\|PronType=Ind`, `NumType=Card\|Number=Sing\|POS=NUM`, `Mood=Ind\|Number=Sing\|POS=VERB\|Person=2\|Tense=Past\|VerbForm=Fin`, `Mood=Ind\|Number=Sing\|POS=AUX\|Person=2\|Tense=Imp\|VerbForm=Fin`, `Mood=Ind\|Number=Sing\|POS=AUX\|Person=2\|Tense=Pres\|VerbForm=Fin`, `Case=Com\|Number=Sing\|POS=PRON\|Person=2\|PrepCase=Pre\|PronType=Prs`, `Mood=Ind\|Number=Sing\|POS=VERB\|Person=2\|Tense=Imp\|VerbForm=Fin`, `Case=Acc,Dat\|Number=Sing\|POS=PRON\|Person=2\|PrepCase=Npr\|PronType=Prs\|Reflex=Yes`, `Case=Acc\|Number=Sing\|POS=PRON\|Person=2\|PrepCase=Pre\|PronType=Prs`, `Mood=Cnd\|Number=Sing\|POS=AUX\|Person=2\|VerbForm=Fin`, `Mood=Sub\|Number=Sing\|POS=AUX\|Person=2\|Tense=Pres\|VerbForm=Fin`, `Number=Sing\|POS=NOUN\|VerbForm=Fin`, `Case=Acc,Dat\|Mood=Imp\|Number=Plur,Sing\|POS=VERB\|Person=1,2\|PrepCase=Npr\|PronType=Prs\|VerbForm=Fin`, `Case=Acc,Dat\|Mood=Imp\|Number=Sing\|POS=VERB\|Person=2\|PrepCase=Npr\|PronType=Prs\|Reflex=Yes\|VerbForm=Fin`, `Mood=Ind\|Number=Sing\|POS=VERB\|Person=2\|Tense=Fut\|VerbForm=Fin`, `Gender=Fem\|NumType=Card\|Number=Sing\|POS=DET\|PronType=Int,Rel`, `Mood=Sub\|Number=Sing\|POS=VERB\|Person=2\|Tense=Pres\|VerbForm=Fin`, `Mood=Ind\|Number=Sing\|POS=AUX\|Person=2\|Tense=Fut\|VerbForm=Fin`, `Gender=Fem\|Number=Plur\|POS=PRON\|PronType=Tot`, `Gender=Masc\|NumType=Card\|Number=Plur\|POS=DET\|PronType=Int,Rel`, `Case=Dat\|Number=Sing\|POS=VERB\|Person=3\|PronType=Prs\|VerbForm=Ger`, `Number=Sing\|POS=VERB\|VerbForm=Fin`, `POS=VERB\|VerbForm=Fin`, `Degree=Abs\|Gender=Masc\|Number=Plur\|POS=ADJ`, `Degree=Abs\|Gender=Fem\|Number=Plur\|POS=ADJ`, `Case=Acc,Dat\|POS=AUX\|Person=3\|PrepCase=Npr\|PronType=Prs\|Reflex=Yes\|VerbForm=Ger`, `Gender=Masc\|Number=Sing\|Number[psor]=Plur\|POS=PRON\|Person=1\|Poss=Yes\|PronType=Prs`, `AdpType=Prep\|Degree=Cmp\|POS=ADV`, `Mood=Sub\|Number=Plur\|POS=AUX\|Person=1\|Tense=Imp\|VerbForm=Fin`, `Gender=Fem\|NumType=Card\|Number=Plur\|POS=DET\|PronType=Dem`, `Definite=Ind\|Gender=Masc\|NumType=Card\|Number=Sing\|POS=DET\|PronType=Art`, `Degree=Sup\|Gender=Fem\|Number=Plur\|POS=ADJ`, `Number=Plur\|POS=PRON\|PronType=Dem`, `Case=Acc,Dat\|Gender=Masc\|Number=Plur\|POS=PRON\|Person=2\|PrepCase=Npr\|PronType=Prs`, `Case=Acc\|Gender=Fem\|Number=Plur\|POS=VERB\|Person=3\|PrepCase=Npr\|PronType=Prs\|VerbForm=Ger`, `Gender=Masc\|Number=Sing\|POS=AUX\|VerbForm=Fin`, `Case=Acc,Dat\|POS=AUX\|Person=3\|PrepCase=Npr\|PronType=Prs\|Reflex=Yes\|VerbForm=Inf`, `Mood=Ind\|Number=Plur\|POS=AUX\|Person=1\|Tense=Past\|VerbForm=Fin`, `Gender=Masc\|NumType=Card\|Number=Sing\|POS=DET\|PronType=Int,Rel`, `Gender=Masc\|Number=Plur\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Case=Acc,Dat\|Mood=Imp\|Number=Sing\|POS=VERB\|Person=1,3\|PrepCase=Npr\|PronType=Prs\|VerbForm=Fin`, `Gender=Masc\|NumType=Card\|Number=Plur\|POS=PRON\|PronType=Int,Rel`, `Gender=Masc\|Number=Sing\|POS=PRON\|Person=3\|Poss=Yes\|PronType=Prs`, `Gender=Masc\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=1\|Poss=Yes\|PronType=Ind`, `Mood=Ind\|POS=VERB\|Person=3\|Tense=Pres\|VerbForm=Fin`, `Case=Acc,Dat\|Number=Plur\|POS=PRON\|Person=2\|PrepCase=Npr\|PronType=Prs`, `Gender=Masc\|NumType=Card\|Number=Plur\|POS=PRON\|PronType=Dem`, `Gender=Fem\|Number=Sing\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Mood=Sub\|Number=Plur\|POS=VERB\|Person=2\|Tense=Pres\|VerbForm=Fin`, `Mood=Sub\|Number=Plur\|POS=AUX\|Person=1\|Tense=Pres\|VerbForm=Fin`, `Mood=Ind\|Number=Plur\|POS=AUX\|Person=1\|Tense=Fut\|VerbForm=Fin`, `Number=Sing\|POS=PRON\|Person=3\|Poss=Yes\|PronType=Prs`, `Case=Acc,Dat\|Number=Sing\|POS=VERB\|Person=2\|PrepCase=Npr\|PronType=Prs\|PunctType=Quot\|VerbForm=Inf`, `Case=Com\|POS=PRON\|Person=3\|PrepCase=Pre\|PronType=Prs\|Reflex=Yes`, `NumForm=Digit\|NumType=Frac\|POS=SYM`, `Case=Dat\|Number=Sing\|POS=AUX\|Person=3\|PronType=Prs\|VerbForm=Inf`, `Case=Acc\|Gender=Masc\|Number=Sing\|POS=AUX\|Person=3\|PrepCase=Npr\|PronType=Prs\|VerbForm=Inf`, `Gender=Fem\|NumType=Card\|Number=Sing\|POS=PRON\|PronType=Ind`, `Gender=Masc\|Mood=Ind\|Number=Sing\|POS=VERB\|Person=3\|Tense=Pres\|VerbForm=Fin`, `Case=Acc,Dat\|Gender=Masc\|Number=Plur\|POS=PRON\|Person=1\|PrepCase=Npr\|PronType=Prs`, `Gender=Fem\|Number=Sing\|Number[psor]=Sing\|POS=PRON\|Person=1\|Poss=Yes\|PronType=Ind`, `Case=Acc,Dat\|Number=Plur\|POS=VERB\|Person=2\|PrepCase=Npr\|PronType=Prs\|VerbForm=Inf`, `Number=Sing\|POS=PRON\|PronType=Tot`, `Mood=Ind\|Number=Plur\|POS=AUX\|Person=2\|Tense=Pres\|VerbForm=Fin`, `Case=Dat\|Number=Plur\|POS=VERB\|Person=3\|PronType=Prs\|VerbForm=Ger`, `NumType=Card\|Number=Plur\|POS=DET\|PronType=Ind`, `POS=PRON\|PronType=Dem`, `POS=AUX\|VerbForm=Fin`, `Gender=Fem\|NumType=Card\|Number=Plur\|POS=PRON\|PronType=Int,Rel`, `Gender=Fem\|Number=Sing\|Number[psor]=Plur\|POS=DET\|Person=2\|Poss=Yes\|PronType=Prs`, `Gender=Fem\|Number=Plur\|Number[psor]=Plur\|POS=PRON\|Person=1\|Poss=Yes\|PronType=Prs`, `Case=Acc\|Gender=Fem\|Number=Plur\|POS=AUX\|Person=3\|PrepCase=Npr\|PronType=Prs\|VerbForm=Inf`, `Case=Acc\|Gender=Masc\|Number=Plur\|POS=AUX\|Person=3\|PrepCase=Npr\|PronType=Prs\|VerbForm=Inf`, `AdvType=Tim\|Gender=Masc\|Number=Sing\|POS=NOUN`, `Gender=Fem\|Number=Sing\|Number[psor]=Plur\|POS=PRON\|Person=1\|Poss=Yes\|PronType=Prs`, `Gender=Fem\|NumType=Card\|Number=Sing\|POS=PRON\|PronType=Dem`, `Gender=Fem\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=1\|Poss=Yes\|PronType=Ind`, `Gender=Masc\|Number=Sing\|Number[psor]=Sing\|POS=PRON\|Person=2\|Poss=Yes\|PronType=Ind`, `Gender=Fem\|Number=Plur\|POS=PRON\|Person=3\|Poss=Yes\|PronType=Prs`, `Gender=Masc\|Number=Plur\|POS=DET\|PronType=Art`, `Gender=Masc\|Number=Sing\|POS=NOUN\|VerbForm=Part`, `Case=Acc\|Gender=Masc\|Number=Sing\|POS=AUX\|Person=3\|PrepCase=Npr\|PronType=Prs\|VerbForm=Ger`, `Gender=Masc\|Number=Sing\|POS=DET\|Person=3\|Poss=Yes\|PronType=Ind`, `Case=Acc,Dat\|Number=Sing\|POS=VERB\|Person=1\|PrepCase=Npr\|PronType=Prs\|VerbForm=Ger`, `Case=Acc\|Gender=Masc\|Mood=Imp\|Number=Plur\|POS=VERB\|Person=1,3\|PrepCase=Npr\|PronType=Prs\|VerbForm=Fin`, `Gender=Fem\|Number=Sing\|POS=PRON\|Person=1\|Poss=Yes\|PronType=Prs`, `Case=Com\|Number=Sing\|POS=PRON\|Person=1\|PrepCase=Pre\|PronType=Prs`, `POS=X`, `Case=Com\|POS=PRON\|Person=3\|PronType=Prs\|Reflex=Yes`, `POS=ADP`, `Case=Acc\|Gender=Masc\|Mood=Imp\|Number=Plur,Sing\|POS=VERB\|Person=1,3\|PrepCase=Npr\|PronType=Prs\|VerbForm=Fin`, `Case=Acc,Dat\|Number=Sing\|POS=AUX\|Person=1\|PrepCase=Npr\|PronType=Prs\|VerbForm=Inf`, `Case=Acc\|Gender=Masc\|Mood=Imp\|Number=Sing\|POS=VERB\|Person=3\|PrepCase=Npr\|PronType=Prs\|VerbForm=Fin`, `Mood=Imp\|Number=Plur\|POS=VERB\|Person=2\|VerbForm=Fin`, `Gender=Masc\|Number=Plur\|POS=PRON\|Person=2\|Poss=Yes\|PronType=Ind`, `Case=Dat\|Mood=Imp\|Number=Sing\|POS=VERB\|Person=3\|PronType=Prs\|VerbForm=Fin`, `Gender=Fem\|Number=Sing\|POS=PRON\|Person=3\|Poss=Yes\|PronType=Prs`, `Case=Acc,Dat\|Mood=Imp\|Number=Sing\|POS=VERB\|Person=2,3\|PrepCase=Npr\|PronType=Prs\|VerbForm=Fin`, `Gender=Fem\|Number=Plur\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Case=Acc,Dat\|Number=Plur\|POS=VERB\|Person=1\|PrepCase=Npr\|PronType=Prs\|Reflex=Yes\|VerbForm=Ger`, `Gender=Fem\|Number=Plur\|Number[psor]=Plur\|POS=DET\|Person=2\|Poss=Yes\|PronType=Prs`, `Number=Plur\|Number[psor]=Sing\|POS=DET\|Person=2\|Poss=Yes\|PronType=Prs`, `POS=NOUN\|PunctType=Comm`, `Degree=Cmp\|POS=ADJ`, `Gender=Masc\|POS=ADJ`, `Degree=Abs\|Gender=Masc\|NumType=Card\|Number=Plur\|POS=PRON\|PronType=Ind`, `POS=PRON\|PronType=Neg`, `Gender=Fem\|Number=Sing\|POS=DET\|Person=3\|Poss=Yes\|PronType=Ind`, `Number=Sing\|POS=DET\|PronType=Int,Rel` |
| **`parser`** | `ROOT`, `acl`, `advcl`, `advmod`, `amod`, `appos`, `aux`, `aux:pass`, `case`, `cc`, `ccomp`, `compound`, `conj`, `cop`, `csubj`, `dep`, `det`, `expl:pass`, `fixed`, `flat`, `iobj`, `mark`, `nmod`, `nsubj`, `nsubj:pass`, `nummod`, `obj`, `obl`, `orphan`, `parataxis`, `punct`, `xcomp` |
| **`experimental_edit_tree_lemmatizer`** | `1`, `2`, `5`, `6`, `8`, `10`, `14`, `16`, `18`, `20`, `22`, `24`, `25`, `27`, `29`, `33`, `36`, `38`, `40`, `42`, `45`, `48`, `50`, `54`, `57`, `59`, `60`, `62`, `64`, `66`, `68`, `71`, `73`, `75`, `77`, `81`, `83`, `85`, `87`, `88`, `91`, `93`, `95`, `97`, `99`, `100`, `102`, `104`, `106`, `108`, `110`, `112`, `114`, `115`, `117`, `119`, `120`, `122`, `49`, `125`, `126`, `128`, `130`, `134`, `138`, `140`, `143`, `145`, `146`, `148`, `150`, `151`, `153`, `156`, `158`, `160`, `162`, `164`, `167`, `170`, `171`, `173`, `177`, `178`, `179`, `181`, `182`, `184`, `186`, `187`, `188`, `191`, `193`, `195`, `198`, `201`, `202`, `13`, `204`, `206`, `208`, `210`, `214`, `216`, `218`, `221`, `223`, `224`, `226`, `228`, `230`, `232`, `234`, `235`, `237`, `239`, `241`, `242`, `244`, `248`, `250`, `254`, `257`, `258`, `260`, `261`, `262`, `264`, `265`, `266`, `267`, `269`, `271`, `273`, `277`, `278`, `280`, `284`, `286`, `288`, `289`, `290`, `291`, `293`, `296`, `298`, `300`, `302`, `304`, `306`, `308`, `309`, `313`, `315`, `319`, `321`, `322`, `323`, `324`, `325`, `327`, `328`, `330`, `332`, `336`, `338`, `339`, `341`, `342`, `343`, `345`, `347`, `348`, `350`, `351`, `352`, `354`, `355`, `357`, `359`, `361`, `363`, `365`, `367`, `370`, `372`, `375`, `377`, `379`, `382`, `385`, `389`, `391`, `393`, `395`, `397`, `398`, `400`, `402`, `404`, `408`, `410`, `413`, `415`, `416`, `418`, `419`, `420`, `422`, `424`, `427`, `429`, `431`, `433`, `434`, `435`, `436`, `438`, `440`, `441`, `443`, `445`, `447`, `448`, `450`, `451`, `452`, `454`, `456`, `457`, `458`, `460`, `462`, `463`, `465`, `466`, `468`, `470`, `473`, `477`, `478`, `480`, `481`, `483`, `485`, `489`, `491`, `492`, `494`, `496`, `498`, `500`, `501`, `504`, `505`, `506`, `507`, `509`, `511`, `514`, `516`, `519`, `521`, `522`, `524`, `526`, `528`, `532`, `535`, `538`, `541`, `543`, `545`, `546`, `548`, `550`, `554`, `555`, `557`, `559`, `560`, `561`, `562`, `564`, `565`, `567`, `569`, `571`, `572`, `573`, `575`, `576`, `579`, `582`, `584`, `586`, `589`, `590`, `591`, `592`, `595`, `596`, `597`, `599`, `600`, `601`, `603`, `606`, `607`, `608`, `610`, `615`, `617`, `618`, `622`, `624`, `625`, `626`, `627`, `629`, `631`, `633`, `585`, `634`, `636`, `637`, `638`, `639`, `643`, `644`, `646`, `647`, `648`, `650`, `651`, `653`, `654`, `657`, `658`, `660`, `662`, `663`, `667`, `669`, `671`, `673`, `674`, `678`, `680`, `683`, `684`, `685`, `686`, `688`, `689`, `692`, `693`, `695`, `696`, `697`, `699`, `701`, `702`, `704`, `707`, `709`, `711`, `712`, `714`, `715`, `717`, `718`, `719`, `720`, `722`, `725`, `728`, `730`, `732`, `733`, `734`, `735`, `736`, `738`, `739`, `740`, `741`, `743`, `745`, `748`, `750`, `752`, `753`, `755`, `756`, `759`, `760`, `763`, `764`, `765`, `766`, `768`, `770`, `772`, `773`, `774`, `775`, `776`, `778`, `779`, `780`, `783`, `785`, `786`, `788`, `791`, `793`, `795`, `797`, `798`, `800`, `803`, `804`, `805`, `807`, `808`, `810`, `813`, `816`, `819`, `821`, `823`, `824`, `825`, `826`, `829`, `832`, `833`, `836`, `129`, `837`, `838`, `839`, `843`, `845`, `846`, `848`, `849`, `851`, `852`, `853`, `855`, `856`, `857`, `858`, `862`, `864`, `866`, `868`, `869`, `873`, `875`, `877`, `878`, `879`, `882`, `884`, `886`, `888`, `890`, `891`, `892`, `893`, `895`, `897`, `898`, `900`, `902`, `904`, `906`, `907`, `909`, `910`, `912`, `914`, `915`, `916`, `918`, `920`, `921`, `923`, `924`, `926`, `928`, `930`, `931`, `933`, `935`, `936`, `937`, `939`, `940`, `943`, `944`, `945`, `946`, `947`, `949`, `951`, `952`, `953`, `955`, `956`, `957`, `0`, `959`, `961`, `963`, `965`, `966`, `968`, `969`, `970`, `972`, `973`, `975`, `976`, `978`, `979`, `980`, `982`, `983`, `984`, `986`, `987`, `989`, `990`, `993`, `995`, `996`, `997`, `1000`, `1003`, `1004`, `1006`, `1007`, `1008`, `1010`, `1012`, `1013`, `1014`, `1015`, `1017`, `1018`, `1021`, `1025`, `1027`, `1029`, `1030`, `1032`, `1034`, `1035`, `1036`, `1038`, `1039`, `1041`, `1043`, `1044`, `1045`, `1046`, `1047`, `1049`, `1050`, `1052`, `1053`, `1054`, `1055`, `1056`, `1057`, `1058`, `1060`, `1061`, `1063`, `1065`, `1067`, `1069`, `1070`, `1072`, `1075`, `1076`, `1077`, `1078`, `1079`, `1080`, `1081`, `1082`, `1085`, `1086`, `1088`, `1090`, `1091`, `1092`, `1093`, `1094`, `1096`, `1097`, `1100`, `1101`, `1103`, `1104`, `1106`, `1108`, `1109`, `1111`, `1112`, `1114`, `1115`, `1116`, `598`, `26`, `1117`, `1118`, `1119`, `1121`, `1122`, `1123`, `1124`, `1125`, `1127`, `1128`, `1130`, `1132`, `1133`, `1135`, `1137`, `1139`, `1140`, `1141`, `1142`, `1144`, `1147`, `1151`, `1152`, `1153`, `1155`, `1157`, `1160`, `1162`, `1163`, `1165`, `1166`, `1170`, `1171`, `1173`, `1175`, `1177`, `1179`, `1180`, `1183`, `1185`, `1186`, `1188`, `1189`, `1191`, `1192`, `1193`, `1196`, `65`, `1197`, `1198`, `1202`, `1204`, `1206`, `1208`, `1209`, `1210`, `1213`, `1214`, `1215`, `1218`, `1220`, `1221`, `1223`, `1225`, `1226`, `1228`, `1230`, `1232`, `1233`, `1235`, `1236`, `1237`, `1238`, `1241`, `1242`, `1243`, `1244`, `1248`, `1253`, `1254`, `1256`, `1259`, `1260`, `1262`, `1264`, `1265`, `1266`, `1267`, `1269`, `1272`, `1273`, `1274`, `1275`, `1277`, `1280`, `1283`, `1286`, `1289`, `1291`, `1293`, `1294`, `1295`, `1296`, `1297`, `1298`, `1300`, `1301`, `1303`, `1307`, `1309`, `1311`, `1312`, `1316`, `1317`, `1318`, `1319`, `1321`, `1322`, `1323`, `1324`, `1325`, `1326`, `1327`, `1329`, `1330`, `1331`, `1332`, `1333`, `1334`, `1335`, `1336`, `1338`, `1339`, `1341`, `1342`, `1344`, `1346`, `1347`, `1348`, `1349`, `1350`, `1351`, `1352`, `1354`, `1356`, `1357`, `1359`, `1360`, `1361`, `1363`, `1364`, `1365`, `1369`, `1370`, `1371`, `1372`, `1373`, `1377`, `1378`, `1379`, `1381`, `1382`, `1383`, `1385`, `1386`, `1388`, `1389`, `1390`, `1391`, `1392`, `1394`, `1395`, `1396`, `1398`, `1399`, `1400`, `1402`, `1403`, `1406`, `1408`, `1409`, `1410`, `1413`, `1415`, `1416`, `1417`, `1418`, `1419`, `1421`, `1422`, `1423`, `1425`, `1427`, `1428`, `1431`, `1432`, `1433`, `1434`, `1435`, `1437`, `1438`, `1441`, `1442`, `1443`, `1445`, `1446`, `1447`, `1448`, `1449`, `1450`, `1452`, `1453`, `1454`, `1455`, `1457`, `1458`, `1460`, `1462`, `1463`, `1464`, `1467`, `1468`, `1469`, `1470`, `1472`, `1477`, `1479`, `1481`, `1484`, `1486`, `1488`, `1489`, `1492`, `1494`, `1495`, `1496`, `1498`, `1500`, `1501`, `1503`, `1504`, `1505`, `1507`, `1509`, `1510`, `1512`, `1513`, `1514`, `1516`, `1518`, `1519`, `1520`, `1523`, `1525`, `1526`, `1527`, `1529`, `1531`, `1532`, `1533`, `1535`, `1536`, `1537`, `1538`, `1540`, `1541`, `1542`, `1544`, `1546`, `1547`, `1548`, `124`, `1549`, `1551`, `1553`, `1555`, `1557`, `1560`, `1561`, `1563`, `1564`, `1565`, `1569`, `1571`, `1572`, `1573`, `1574`, `1575`, `1577`, `1579`, `1581`, `1582`, `1583`, `1585`, `1588`, `1589`, `1590`, `1591`, `1592`, `1595`, `1596`, `1597`, `1598`, `1599`, `1600`, `1601`, `1603`, `1605`, `1609`, `1611`, `1613`, `1614`, `1618`, `1619`, `1622`, `1624`, `1626`, `1628`, `1630`, `1631`, `1634`, `1636`, `1637`, `1638`, `1640`, `1642`, `1643`, `1644`, `1645`, `1646`, `1648`, `1649`, `1650`, `1651`, `1652`, `1653`, `1654`, `1656`, `1658`, `1660`, `1662`, `1665`, `1667`, `1668`, `1669`, `1671`, `1672`, `1673`, `1674`, `1675`, `1676`, `1678`, `1680`, `1681`, `1682`, `1683`, `1684`, `1685`, `1686`, `1688`, `1689`, `1690`, `1691`, `1692`, `1694`, `1696`, `1697`, `1698`, `1700`, `1701`, `1702`, `1703`, `1704`, `1706`, `1708`, `1709`, `1710`, `1711`, `1712`, `1713`, `1714`, `1715`, `1717`, `1718`, `1719`, `1721`, `1722`, `1724`, `1725`, `1726`, `1728`, `1729`, `1730`, `1731`, `1732`, `1733`, `1735`, `1737`, `1739`, `1741`, `1743`, `1744`, `1745`, `1747`, `1749`, `1750`, `1752`, `1753`, `1756`, `1758`, `1760`, `1761`, `1762`, `1764`, `1765`, `1767`, `1769`, `1772`, `1773`, `1774`, `1775`, `1777`, `1778`, `1781`, `1783`, `1784`, `1786`, `1790`, `1791`, `1792`, `1793`, `1795`, `1796`, `1798`, `1799`, `1801`, `1802`, `1804`, `1805`, `1806`, `1807`, `1809`, `1810`, `1811`, `1814`, `1816`, `1817`, `1818`, `1819`, `1820`, `1822`, `1824`, `1826`, `1827`, `1829`, `1831`, `1832`, `1834`, `1836`, `1838`, `1840`, `1842`, `1843`, `1844`, `1845`, `1847`, `1848`, `1850`, `1851`, `1853`, `1854`, `1856`, `1859`, `1860`, `1861`, `1863`, `1865`, `1866`, `1868`, `1869`, `1870`, `1871`, `1873`, `1875`, `1877`, `1879`, `1881`, `1883`, `1884`, `1887`, `1889`, `1890`, `1892`, `1893`, `1894`, `1895`, `1897`, `1899`, `1902`, `1903`, `1904`, `1906`, `1907`, `1909`, `1910`, `1912`, `1913`, `1914`, `1916`, `1917`, `1918`, `1920`, `1921`, `1923`, `1926`, `1927`, `1928`, `1929`, `1930`, `1931`, `1932`, `1933`, `1934`, `1935`, `1937`, `1938`, `1939`, `1942`, `1943`, `1944`, `1945`, `1946`, `1947`, `1948`, `1949`, `1950`, `1952`, `1953`, `1955`, `1956`, `1957`, `1958`, `1959`, `1961`, `1964`, `1967`, `1969`, `1971`, `1972`, `1974`, `1975`, `1977`, `1978`, `1979`, `1980`, `1981`, `1922`, `1982`, `1983`, `1984`, `1986`, `1988`, `1989`, `1990`, `1992`, `1993`, `1994`, `1995`, `1998`, `1999`, `2000`, `2003`, `2006`, `2007`, `2008`, `2009`, `2011`, `2013`, `2015`, `2016`, `2017`, `2018`, `2020`, `2023`, `2027`, `2028`, `2030`, `2031`, `2032`, `2033`, `2034`, `2035`, `2036`, `2039`, `2042`, `2043`, `2045`, `2047`, `2050`, `2052`, `2053`, `2054`, `2055`, `2056`, `2057`, `2061`, `2062`, `2063`, `2064`, `2065`, `2066`, `2067`, `2068`, `2069`, `2070`, `2073`, `2074`, `2075`, `2076`, `2078`, `2079`, `2080`, `2081`, `2082`, `2083`, `2084`, `2089`, `2090`, `2092`, `2093`, `2094`, `2095`, `2096`, `2098`, `2099`, `2100`, `2101`, `2103`, `2104`, `2106`, `2108`, `2109`, `2110`, `2113`, `2116`, `2119`, `2121`, `2124`, `2125`, `2126`, `2127`, `2128`, `2129`, `2132`, `2133`, `2134`, `2136`, `2137`, `2138`, `2139`, `2140`, `2141`, `2142`, `2143`, `2145`, `2146`, `2147`, `2148`, `2149`, `2150`, `2151`, `2152`, `2153`, `2154`, `2155`, `2157`, `2159`, `2160`, `2161`, `2162`, `2163`, `2164`, `2166`, `2167`, `2169`, `2172`, `2173`, `2174`, `2175`, `2178`, `2180`, `2181`, `2184`, `2186`, `2189`, `2190`, `2191`, `2192`, `2194`, `2195`, `2197`, `2199`, `2200`, `2202`, `2203`, `2204`, `2205`, `2210`, `2211`, `2212`, `2214`, `2215`, `2216`, `2217`, `2218`, `2219`, `2220`, `2221`, `2222`, `2223`, `2225`, `2227`, `2228`, `2229`, `2230`, `2231`, `2232`, `2233`, `2234`, `2235`, `2238`, `2239`, `2240`, `2241`, `2242`, `2243`, `2244`, `2245`, `2246`, `2250`, `2252`, `2254`, `2255`, `2256`, `2257`, `2258`, `2259`, `2260`, `2262`, `2264`, `2265`, `2266`, `2267`, `2268`, `2269`, `2270`, `2271`, `2272`, `2273`, `2274`, `2275`, `2276`, `2277`, `2278`, `2279`, `2280`, `2281`, `2283`, `2284`, `2285`, `2286`, `2287`, `2288`, `2289`, `2290`, `2291`, `2293`, `2294`, `2295`, `2296`, `2297`, `2298`, `2299`, `2301`, `2303`, `2304`, `2305`, `2306`, `2307`, `2308`, `2309`, `2310`, `2312`, `2313`, `2314`, `2315`, `2317`, `2319`, `2320`, `2321`, `2322`, `2324`, `2325`, `2326`, `2328`, `2329`, `2330`, `2331`, `2332`, `2333`, `2334`, `2335`, `2336`, `2337`, `2338`, `2339`, `2341`, `2342`, `2346`, `2347`, `2352`, `2353`, `2356`, `2358`, `2359`, `2360`, `2361`, `2362`, `2364`, `2365`, `2366`, `2368`, `2371`, `2372`, `2374`, `2375`, `2376`, `2377`, `2378`, `2379`, `2380`, `2382`, `2383`, `2384`, `2386`, `2387`, `2388`, `2389`, `2391`, `2394`, `2395`, `2396`, `2398`, `2399`, `2400`, `2401`, `2403`, `2404`, `2406`, `2409`, `2410`, `2411`, `2415`, `2418`, `2419`, `2420`, `2421`, `2422`, `2423`, `2424`, `2425`, `2427`, `430`, `2428`, `2429`, `2430`, `2431`, `2432`, `2433`, `2434`, `2435`, `2436`, `2437`, `2438`, `2439`, `2440`, `2441`, `2442`, `2444`, `2445`, `2446`, `2447`, `2448`, `2449`, `2450`, `2451`, `2452`, `2453`, `2454`, `2456`, `2457`, `2458`, `2460`, `2461`, `2462`, `2463`, `2464`, `2465`, `2466`, `2467`, `2468`, `2469`, `2472`, `2474`, `2475`, `2476`, `2479`, `2480`, `2481`, `2482`, `2483`, `2484`, `2486`, `2487`, `2488`, `2490`, `2491`, `2493`, `2494`, `2495`, `2496`, `2497`, `2499`, `2500`, `2501`, `2502`, `2503`, `2504`, `2505`, `2506`, `2507`, `2508`, `2509`, `2510`, `2511`, `2512`, `2514`, `2515`, `2516`, `2517`, `2518`, `2519`, `2520`, `2521`, `2522`, `2523`, `2524`, `2525`, `2527`, `2528`, `2529`, `2530`, `2531`, `2532`, `2533`, `2535`, `2536`, `2537`, `2538`, `2539`, `2540`, `2541`, `2542`, `2543`, `2544`, `2545`, `2546`, `2547`, `2548`, `2550`, `2552`, `2554`, `2555`, `2556`, `2557`, `2558`, `2559`, `2560`, `2561`, `2562`, `2563`, `2566`, `2567`, `2568`, `2569`, `2570`, `2572`, `2574`, `2576`, `2577`, `2578`, `2580`, `2582`, `2583`, `2584`, `2585` |
</details>
### Accuracy
| Type | Score |
| --- | --- |
| `TOKEN_F` | 99.98 |
| `TOKEN_P` | 99.98 |
| `TOKEN_R` | 99.99 |
| `TOKEN_ACC` | 100.00 |
| `SENTS_F` | 97.99 |
| `SENTS_P` | 97.43 |
| `SENTS_R` | 98.55 |
| `TAG_ACC` | 98.92 |
| `POS_ACC` | 99.03 |
| `MORPH_ACC` | 97.96 |
| `DEP_UAS` | 93.99 |
| `DEP_LAS` | 91.95 |
| `LEMMA_ACC` | 98.93 | |
explosion/fr_udv25_frenchsequoia_trf | explosion | 2021-12-11T05:53:01Z | 2 | 1 | spacy | [
"spacy",
"token-classification",
"fr",
"license:lgpl-lr",
"model-index",
"region:us"
] | token-classification | 2022-03-02T23:29:05Z | ---
tags:
- spacy
- token-classification
language:
- fr
license: lgpl-lr
model-index:
- name: fr_udv25_frenchsequoia_trf
results:
- task:
name: TAG
type: token-classification
metrics:
- name: TAG (XPOS) Accuracy
type: accuracy
value: 0.9864663202
- task:
name: POS
type: token-classification
metrics:
- name: POS (UPOS) Accuracy
type: accuracy
value: 0.9856429784
- task:
name: MORPH
type: token-classification
metrics:
- name: Morph (UFeats) Accuracy
type: accuracy
value: 0.9755018013
- task:
name: LEMMA
type: token-classification
metrics:
- name: Lemma Accuracy
type: accuracy
value: 0.9741188577
- task:
name: UNLABELED_DEPENDENCIES
type: token-classification
metrics:
- name: Unlabeled Attachment Score (UAS)
type: f_score
value: 0.9467530964
- task:
name: LABELED_DEPENDENCIES
type: token-classification
metrics:
- name: Labeled Attachment Score (LAS)
type: f_score
value: 0.9260331057
- task:
name: SENTS
type: token-classification
metrics:
- name: Sentences F-Score
type: f_score
value: 0.9441747573
---
UD v2.5 benchmarking pipeline for UD_French-Sequoia
| Feature | Description |
| --- | --- |
| **Name** | `fr_udv25_frenchsequoia_trf` |
| **Version** | `0.0.1` |
| **spaCy** | `>=3.2.1,<3.3.0` |
| **Default Pipeline** | `experimental_char_ner_tokenizer`, `transformer`, `tagger`, `morphologizer`, `parser`, `experimental_edit_tree_lemmatizer` |
| **Components** | `experimental_char_ner_tokenizer`, `transformer`, `senter`, `tagger`, `morphologizer`, `parser`, `experimental_edit_tree_lemmatizer` |
| **Vectors** | 0 keys, 0 unique vectors (0 dimensions) |
| **Sources** | [Universal Dependencies v2.5](https://lindat.mff.cuni.cz/repository/xmlui/handle/11234/1-3105) (Zeman, Daniel; et al.) |
| **License** | `LGPL-LR` |
| **Author** | [Explosion](https://explosion.ai) |
### Label Scheme
<details>
<summary>View label scheme (916 labels for 6 components)</summary>
| Component | Labels |
| --- | --- |
| **`experimental_char_ner_tokenizer`** | `TOKEN` |
| **`senter`** | `I`, `S` |
| **`tagger`** | `ADJ`, `ADP`, `ADP_DET`, `ADP_PRON`, `ADV`, `AUX`, `CCONJ`, `DET`, `INTJ`, `NOUN`, `NUM`, `PART`, `PRON`, `PROPN`, `PUNCT`, `SCONJ`, `SYM`, `VERB`, `X` |
| **`morphologizer`** | `POS=PROPN`, `Gender=Fem\|Number=Sing\|POS=DET\|PronType=Dem`, `Gender=Fem\|Number=Sing\|POS=NOUN`, `Number=Plur\|POS=PRON\|Person=1`, `Mood=Ind\|Number=Sing\|POS=VERB\|Person=3\|Tense=Pres\|VerbForm=Fin`, `POS=SCONJ`, `POS=ADP`, `Definite=Def\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Art`, `NumType=Ord\|POS=ADJ`, `Gender=Masc\|Number=Sing\|POS=NOUN`, `POS=PUNCT`, `Gender=Masc\|Number=Sing\|POS=PROPN`, `Number=Plur\|POS=ADJ`, `Gender=Masc\|Number=Plur\|POS=NOUN`, `Definite=Ind\|Gender=Fem\|Number=Sing\|POS=DET\|PronType=Art`, `Number=Sing\|POS=ADJ`, `Mood=Ind\|Number=Sing\|POS=VERB\|Person=3\|Tense=Imp\|VerbForm=Fin`, `POS=ADV`, `Mood=Ind\|Number=Sing\|POS=AUX\|Person=3\|Tense=Past\|VerbForm=Fin`, `Gender=Fem\|Number=Sing\|POS=VERB\|Tense=Past\|VerbForm=Part\|Voice=Pass`, `Definite=Def\|Gender=Fem\|Number=Sing\|POS=DET\|PronType=Art`, `Gender=Fem\|Number=Sing\|POS=PROPN`, `Definite=Def\|Number=Sing\|POS=DET\|PronType=Art`, `NumType=Card\|POS=NUM`, `Definite=Def\|Number=Plur\|POS=DET\|PronType=Art`, `Gender=Masc\|Number=Plur\|POS=ADJ`, `POS=CCONJ`, `Gender=Fem\|Number=Plur\|POS=NOUN`, `Mood=Ind\|Number=Plur\|POS=VERB\|Person=3\|Tense=Past\|VerbForm=Fin`, `Gender=Masc\|Number=Sing\|POS=VERB\|Tense=Past\|VerbForm=Part`, `Gender=Fem\|Number=Plur\|POS=ADJ`, `POS=ADJ`, `Mood=Ind\|Number=Sing\|POS=VERB\|Person=3\|Tense=Past\|VerbForm=Fin`, `POS=PRON\|PronType=Rel`, `Number=Sing\|POS=DET\|Poss=Yes`, `Definite=Def\|Gender=Masc\|Number=Sing\|POS=ADP\|PronType=Art`, `Definite=Def\|Number=Plur\|POS=ADP\|PronType=Art`, `Definite=Ind\|Number=Plur\|POS=DET\|PronType=Art`, `Mood=Ind\|Number=Plur\|POS=AUX\|Person=3\|Tense=Past\|VerbForm=Fin`, `Gender=Masc\|Number=Plur\|POS=VERB\|Tense=Past\|VerbForm=Part\|Voice=Pass`, `Mood=Ind\|Number=Sing\|POS=AUX\|Person=3\|Tense=Pres\|VerbForm=Fin`, `POS=VERB\|VerbForm=Inf`, `Gender=Fem\|Number=Sing\|POS=ADJ`, `Gender=Masc\|Number=Sing\|POS=PRON\|Person=3`, `Number=Plur\|POS=DET`, `Mood=Ind\|Number=Plur\|POS=AUX\|Person=3\|Tense=Pres\|VerbForm=Fin`, `Gender=Masc\|Number=Sing\|POS=ADJ`, `Gender=Masc\|Number=Sing\|POS=DET\|PronType=Dem`, `POS=ADV\|PronType=Int`, `POS=VERB\|Tense=Pres\|VerbForm=Part`, `Gender=Fem\|Number=Sing\|POS=VERB\|Tense=Past\|VerbForm=Part`, `Definite=Ind\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Art`, `Gender=Masc\|POS=ADJ`, `Mood=Ind\|Number=Plur\|POS=VERB\|Person=3\|Tense=Fut\|VerbForm=Fin`, `Number=Plur\|POS=DET\|Poss=Yes`, `POS=AUX\|VerbForm=Inf`, `Gender=Masc\|Number=Sing\|POS=VERB\|Tense=Past\|VerbForm=Part\|Voice=Pass`, `Gender=Masc\|POS=VERB\|Tense=Past\|VerbForm=Part`, `POS=ADV\|Polarity=Neg`, `Definite=Ind\|Number=Sing\|POS=DET\|PronType=Art`, `Gender=Fem\|Number=Sing\|POS=PRON\|Person=3`, `POS=PRON\|Person=3\|Reflex=Yes`, `Gender=Masc\|POS=NOUN`, `POS=AUX\|Tense=Past\|VerbForm=Part`, `POS=PRON\|Person=3`, `Number=Plur\|POS=NOUN`, `NumType=Ord\|Number=Sing\|POS=ADJ`, `POS=VERB\|Tense=Past\|VerbForm=Part`, `POS=AUX\|Tense=Pres\|VerbForm=Part`, `Gender=Masc\|Number=Plur\|POS=VERB\|Tense=Past\|VerbForm=Part`, `Number=Sing\|POS=PRON\|Person=3`, `Number=Sing\|POS=NOUN`, `Gender=Masc\|Number=Plur\|POS=PRON\|Person=3`, `Mood=Ind\|Number=Plur\|POS=VERB\|Person=3\|Tense=Imp\|VerbForm=Fin`, `Gender=Fem\|NumType=Ord\|Number=Sing\|POS=ADJ`, `Number=Plur\|POS=PROPN`, `Number=Sing\|POS=PROPN`, `Mood=Ind\|Number=Sing\|POS=AUX\|Person=3\|Tense=Imp\|VerbForm=Fin`, `Mood=Ind\|Number=Plur\|POS=VERB\|Person=3\|Tense=Pres\|VerbForm=Fin`, `Gender=Masc\|Number=Plur\|POS=PRON\|PronType=Dem`, `Gender=Masc\|Number=Sing\|POS=DET`, `Gender=Fem\|Number=Sing\|POS=DET\|Poss=Yes`, `Gender=Masc\|POS=PRON`, `POS=NOUN`, `Mood=Ind\|Number=Sing\|POS=VERB\|Person=3\|Tense=Fut\|VerbForm=Fin`, `Mood=Ind\|Number=Sing\|POS=AUX\|Person=3\|Tense=Fut\|VerbForm=Fin`, `Mood=Ind\|Number=Plur\|POS=VERB\|Person=1\|Tense=Pres\|VerbForm=Fin`, `Number=Plur\|POS=PRON`, `Gender=Masc\|NumType=Ord\|Number=Plur\|POS=ADJ`, `Mood=Ind\|Number=Plur\|POS=AUX\|Person=3\|Tense=Fut\|VerbForm=Fin`, `Gender=Fem\|Number=Plur\|POS=VERB\|Tense=Past\|VerbForm=Part\|Voice=Pass`, `Number=Sing\|POS=PRON`, `Number=Sing\|POS=PRON\|PronType=Dem`, `Mood=Ind\|POS=VERB\|VerbForm=Fin`, `Number=Plur\|POS=DET\|PronType=Dem`, `Gender=Masc\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs`, `Gender=Masc\|Number=Plur\|POS=PRON\|Person=3\|PronType=Prs`, `Gender=Masc\|Number=Sing\|POS=PRON`, `Gender=Masc\|Number=Sing\|POS=PRON\|Person=3\|PronType=Dem`, `Number=Sing\|POS=PRON\|Person=2\|PronType=Prs`, `Gender=Masc\|Number=Sing\|POS=PRON\|PronType=Rel`, `Mood=Ind\|Number=Plur\|POS=AUX\|Person=3\|Tense=Imp\|VerbForm=Fin`, `Mood=Sub\|Number=Sing\|POS=AUX\|Person=3\|Tense=Pres\|VerbForm=Fin`, `Gender=Masc\|NumType=Ord\|Number=Sing\|POS=ADJ`, `POS=PRON`, `POS=NUM`, `Gender=Fem\|POS=NOUN`, `Gender=Fem\|Number=Plur\|POS=PRON`, `Number=Plur\|POS=PRON\|Person=3`, `Number=Sing\|POS=VERB\|Tense=Past\|VerbForm=Part`, `Number=Sing\|POS=PRON\|Person=1`, `Mood=Ind\|Number=Sing\|POS=VERB\|Person=1\|Tense=Pres\|VerbForm=Fin`, `Mood=Sub\|Number=Sing\|POS=VERB\|Person=3\|Tense=Past\|VerbForm=Fin`, `Gender=Fem\|Number=Sing\|POS=PRON`, `Gender=Fem\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs`, `Mood=Sub\|Number=Sing\|POS=VERB\|Person=3\|Tense=Pres\|VerbForm=Fin`, `POS=INTJ`, `Number=Plur\|POS=PRON\|Person=2`, `NumType=Card\|POS=PRON`, `Definite=Ind\|Gender=Fem\|Number=Plur\|POS=DET\|PronType=Art`, `Gender=Fem\|Number=Plur\|POS=VERB\|Tense=Past\|VerbForm=Part`, `NumType=Card\|POS=NOUN`, `POS=PRON\|PronType=Int`, `Gender=Fem\|Number=Plur\|POS=PRON\|Person=3`, `Gender=Fem\|Number=Sing\|POS=DET`, `Mood=Cnd\|Number=Sing\|POS=AUX\|Person=3\|Tense=Pres\|VerbForm=Fin`, `Gender=Fem\|Number=Plur\|POS=DET`, `Mood=Sub\|Number=Plur\|POS=VERB\|Person=3\|Tense=Pres\|VerbForm=Fin`, `Definite=Ind\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Art`, `Mood=Cnd\|Number=Sing\|POS=VERB\|Person=3\|Tense=Pres\|VerbForm=Fin`, `Gender=Masc\|Number=Sing\|POS=PRON\|PronType=Dem`, `Gender=Masc\|Number=Plur\|POS=PROPN`, `Mood=Cnd\|Number=Plur\|POS=VERB\|Person=3\|Tense=Pres\|VerbForm=Fin`, `Gender=Fem\|Number=Sing\|POS=PRON\|PronType=Dem`, `Number=Sing\|POS=DET`, `Gender=Masc\|NumType=Card\|Number=Plur\|POS=NOUN`, `Gender=Fem\|Number=Plur\|POS=PRON\|PronType=Dem`, `Mood=Ind\|POS=VERB\|Person=3\|Tense=Pres\|VerbForm=Fin`, `Gender=Fem\|POS=PRON`, `Gender=Masc\|POS=VERB\|Tense=Past\|VerbForm=Part\|Voice=Pass`, `Gender=Fem\|Number=Sing\|POS=PRON\|PronType=Rel`, `Mood=Ind\|Number=Sing\|POS=AUX\|Person=1\|Tense=Imp\|VerbForm=Fin`, `Mood=Cnd\|Number=Plur\|POS=VERB\|Person=1\|Tense=Pres\|VerbForm=Fin`, `Mood=Ind\|Number=Sing\|POS=AUX\|Person=1\|Tense=Pres\|VerbForm=Fin`, `Gender=Masc\|Number=Sing\|POS=AUX\|Tense=Past\|VerbForm=Part`, `POS=X`, `POS=SYM`, `Mood=Imp\|Number=Plur\|POS=VERB\|Person=2\|Tense=Pres\|VerbForm=Fin`, `Mood=Ind\|Number=Plur\|POS=VERB\|Person=2\|Tense=Pres\|VerbForm=Fin`, `Gender=Masc\|Number=Sing\|POS=DET\|PronType=Int`, `Gender=Fem\|Number=Plur\|POS=DET\|PronType=Int`, `POS=DET`, `Gender=Masc\|Number=Plur\|POS=PRON`, `POS=PART`, `Mood=Sub\|Number=Plur\|POS=AUX\|Person=3\|Tense=Pres\|VerbForm=Fin`, `Mood=Ind\|POS=VERB\|Person=3\|VerbForm=Fin`, `Number=Sing\|POS=VERB\|Tense=Past\|VerbForm=Part\|Voice=Pass`, `Mood=Cnd\|Number=Plur\|POS=VERB\|Person=2\|Tense=Pres\|VerbForm=Fin`, `Mood=Ind\|Number=Plur\|POS=AUX\|Person=2\|Tense=Pres\|VerbForm=Fin`, `Gender=Fem\|Number=Sing\|POS=DET\|PronType=Int`, `Gender=Masc\|Number=Plur\|POS=DET`, `Gender=Fem\|Number=Plur\|POS=PRON\|PronType=Rel`, `Number=Plur\|POS=VERB\|Tense=Past\|VerbForm=Part\|Voice=Pass`, `Gender=Masc\|Number=Plur\|POS=PRON\|PronType=Rel`, `POS=VERB\|Tense=Past\|VerbForm=Part\|Voice=Pass`, `Gender=Fem\|NumType=Ord\|Number=Plur\|POS=ADJ`, `Mood=Ind\|Number=Plur\|POS=VERB\|Person=2\|Tense=Fut\|VerbForm=Fin`, `Mood=Imp\|POS=VERB\|Tense=Pres\|VerbForm=Fin`, `Number=Plur\|POS=PRON\|Person=2\|Reflex=Yes`, `Mood=Cnd\|Number=Sing\|POS=VERB\|Person=1\|Tense=Pres\|VerbForm=Fin`, `Number=Plur\|POS=PRON\|Person=1\|Reflex=Yes`, `Gender=Masc\|NumType=Card\|Number=Sing\|POS=NOUN`, `Mood=Ind\|Number=Plur\|POS=AUX\|Person=1\|Tense=Pres\|VerbForm=Fin`, `Mood=Ind\|Number=Plur\|POS=AUX\|Person=1\|Tense=Fut\|VerbForm=Fin`, `Mood=Ind\|Number=Plur\|POS=VERB\|Person=1\|Tense=Fut\|VerbForm=Fin`, `Number=Sing\|POS=PRON\|Person=1\|Reflex=Yes`, `Mood=Ind\|Number=Plur\|POS=VERB\|Person=1\|Tense=Imp\|VerbForm=Fin`, `Mood=Ind\|Number=Plur\|POS=AUX\|Person=1\|Tense=Imp\|VerbForm=Fin`, `Mood=Ind\|Number=Sing\|POS=VERB\|Person=1\|Tense=Imp\|VerbForm=Fin`, `Mood=Sub\|Number=Sing\|POS=VERB\|Person=1\|Tense=Pres\|VerbForm=Fin`, `Gender=Masc\|POS=PROPN`, `Mood=Cnd\|Number=Plur\|POS=AUX\|Person=3\|Tense=Pres\|VerbForm=Fin`, `Number=Plur\|POS=PRON\|Person=1\|PronType=Prs`, `Mood=Sub\|Number=Sing\|POS=AUX\|Person=1\|Tense=Pres\|VerbForm=Fin`, `Number=Plur\|POS=PRON\|Person=2\|PronType=Prs`, `Mood=Ind\|Number=Sing\|POS=VERB\|Person=1\|Tense=Fut\|VerbForm=Fin`, `Gender=Fem\|Number=Plur\|POS=PRON\|Person=3\|PronType=Prs`, `Number=Sing\|POS=PRON\|Person=1\|PronType=Prs`, `Mood=Cnd\|Number=Sing\|POS=AUX\|Person=1\|Tense=Pres\|VerbForm=Fin`, `Mood=Sub\|Number=Plur\|POS=AUX\|Person=1\|Tense=Pres\|VerbForm=Fin`, `Mood=Imp\|Number=Plur\|POS=VERB\|Person=1\|Tense=Pres\|VerbForm=Fin`, `Mood=Sub\|Number=Plur\|POS=AUX\|Person=2\|Tense=Pres\|VerbForm=Fin`, `Mood=Ind\|Number=Plur\|POS=VERB\|Person=2\|Tense=Imp\|VerbForm=Fin`, `Gender=Fem\|POS=ADV`, `Mood=Ind\|Number=Sing\|POS=AUX\|Person=2\|Tense=Imp\|VerbForm=Fin`, `Number=Plur\|POS=VERB\|Tense=Past\|VerbForm=Part`, `Gender=Fem\|Number=Plur\|POS=PROPN`, `Gender=Masc\|NumType=Card\|POS=NUM` |
| **`parser`** | `ROOT`, `acl`, `acl:relcl`, `advcl`, `advcl:cleft`, `advmod`, `amod`, `appos`, `aux:caus`, `aux:pass`, `aux:tense`, `case`, `cc`, `ccomp`, `conj`, `cop`, `csubj`, `dep`, `det`, `dislocated`, `expl:comp`, `expl:pass`, `expl:subj`, `fixed`, `flat:foreign`, `flat:name`, `iobj`, `mark`, `nmod`, `nsubj`, `nsubj:caus`, `nsubj:pass`, `nummod`, `obj`, `obl:agent`, `obl:arg`, `obl:mod`, `orphan`, `parataxis`, `punct`, `vocative`, `xcomp` |
| **`experimental_edit_tree_lemmatizer`** | `0`, `3`, `4`, `6`, `8`, `10`, `12`, `14`, `16`, `20`, `22`, `24`, `26`, `30`, `32`, `34`, `36`, `39`, `40`, `42`, `44`, `45`, `48`, `50`, `52`, `54`, `56`, `58`, `61`, `63`, `66`, `70`, `72`, `74`, `77`, `79`, `81`, `82`, `84`, `86`, `88`, `89`, `91`, `95`, `97`, `99`, `102`, `103`, `106`, `110`, `111`, `113`, `114`, `115`, `118`, `119`, `123`, `125`, `126`, `128`, `130`, `132`, `133`, `134`, `136`, `138`, `139`, `140`, `142`, `143`, `144`, `146`, `148`, `150`, `152`, `155`, `157`, `160`, `161`, `163`, `165`, `167`, `171`, `173`, `174`, `176`, `177`, `179`, `181`, `183`, `185`, `187`, `189`, `191`, `192`, `195`, `197`, `198`, `200`, `202`, `203`, `205`, `208`, `210`, `211`, `212`, `214`, `217`, `218`, `221`, `225`, `227`, `229`, `230`, `232`, `234`, `236`, `238`, `240`, `242`, `243`, `245`, `247`, `248`, `251`, `253`, `255`, `257`, `258`, `260`, `261`, `264`, `267`, `268`, `269`, `272`, `273`, `276`, `277`, `278`, `279`, `284`, `287`, `288`, `291`, `293`, `295`, `298`, `299`, `301`, `304`, `306`, `307`, `309`, `310`, `313`, `315`, `318`, `319`, `322`, `324`, `325`, `327`, `329`, `330`, `332`, `333`, `336`, `339`, `341`, `342`, `344`, `346`, `347`, `350`, `351`, `353`, `356`, `358`, `359`, `361`, `363`, `365`, `367`, `369`, `373`, `376`, `378`, `379`, `380`, `382`, `384`, `386`, `389`, `390`, `391`, `394`, `396`, `398`, `399`, `401`, `404`, `406`, `409`, `412`, `414`, `418`, `421`, `423`, `424`, `426`, `428`, `429`, `430`, `434`, `436`, `438`, `440`, `441`, `443`, `446`, `447`, `448`, `451`, `453`, `456`, `457`, `458`, `460`, `462`, `463`, `465`, `468`, `470`, `472`, `474`, `480`, `482`, `483`, `485`, `486`, `490`, `493`, `494`, `497`, `499`, `500`, `501`, `503`, `506`, `509`, `511`, `512`, `514`, `516`, `518`, `522`, `523`, `526`, `530`, `532`, `534`, `537`, `539`, `540`, `541`, `543`, `545`, `546`, `548`, `550`, `551`, `552`, `554`, `556`, `557`, `558`, `561`, `563`, `565`, `567`, `570`, `571`, `573`, `574`, `575`, `576`, `578`, `579`, `581`, `582`, `583`, `584`, `586`, `587`, `588`, `589`, `590`, `592`, `595`, `600`, `603`, `604`, `606`, `608`, `611`, `612`, `614`, `615`, `616`, `618`, `619`, `620`, `621`, `622`, `623`, `624`, `625`, `626`, `627`, `628`, `629`, `630`, `631`, `632`, `633`, `634`, `635`, `636`, `638`, `640`, `644`, `646`, `647`, `648`, `650`, `652`, `654`, `657`, `659`, `660`, `661`, `662`, `663`, `664`, `665`, `666`, `668`, `672`, `674`, `675`, `677`, `678`, `679`, `680`, `681`, `682`, `683`, `684`, `685`, `686`, `687`, `688`, `689`, `690`, `691`, `692`, `693`, `694`, `695`, `696`, `697`, `698`, `699`, `700`, `701`, `702`, `704`, `705`, `706`, `707`, `708`, `709`, `710`, `711`, `712`, `713`, `714`, `715`, `716`, `717`, `718`, `719`, `720`, `721`, `722`, `723`, `724`, `725`, `726`, `727`, `728`, `729`, `730`, `731`, `732`, `733`, `734`, `735`, `736`, `737`, `738`, `739`, `740`, `741`, `743`, `744`, `747`, `748`, `749`, `750`, `751`, `752`, `753`, `754`, `755`, `756`, `758`, `760`, `762`, `763`, `766`, `767`, `768`, `770`, `772`, `773`, `774`, `775`, `776`, `777`, `778`, `779`, `781`, `783`, `784`, `786`, `787`, `789`, `790`, `791`, `794`, `795`, `796`, `797`, `798`, `799`, `800`, `801`, `802`, `803`, `807`, `809`, `812`, `813`, `815`, `817`, `819`, `821`, `825`, `828`, `829`, `832`, `833`, `834`, `837`, `838`, `839`, `841`, `842`, `844`, `846`, `849`, `851`, `853`, `854`, `855`, `858`, `861`, `862`, `866`, `868`, `869`, `871`, `872`, `874`, `876`, `879`, `880`, `882`, `885`, `887`, `891`, `893`, `895`, `898`, `899`, `902`, `903`, `905`, `906`, `908`, `910`, `911`, `912`, `914`, `917`, `920`, `923`, `925`, `927`, `929`, `932`, `933`, `934`, `936`, `938`, `939`, `943`, `944`, `945`, `946`, `947`, `950`, `952`, `954`, `956`, `958`, `959`, `961`, `963`, `965`, `967`, `969`, `971`, `973`, `976`, `978`, `979`, `980`, `981`, `984`, `986`, `987`, `990`, `993`, `994`, `996`, `998`, `999`, `1000`, `1001`, `1002`, `1004`, `1006`, `1007`, `1009`, `1010`, `1012`, `1014`, `1016`, `1018`, `1021`, `1023`, `1026`, `1027`, `1029`, `1031`, `1033`, `1034`, `1036`, `1037`, `1039`, `1041`, `1043`, `1044`, `1045`, `1046`, `1049`, `1051`, `1053`, `1054`, `1055`, `1056`, `1057`, `1058`, `1059`, `1061`, `1063`, `1065`, `1067`, `1068`, `1070`, `1072`, `1073`, `1075`, `1077`, `1078`, `1080`, `1081`, `1082`, `1084`, `1085`, `1087`, `1088`, `1089`, `1090`, `1091`, `1092`, `1094`, `1095`, `1097`, `1098`, `1100`, `1103`, `1106`, `1108`, `1110`, `1111`, `1113`, `1116`, `1117`, `1119`, `1121`, `1124`, `1127`, `1129`, `1131`, `1132`, `1133`, `1135`, `1136`, `1138`, `1139`, `1141`, `1142`, `1145`, `1148`, `1153`, `1154`, `1156`, `1157`, `1159`, `1161` |
</details>
### Accuracy
| Type | Score |
| --- | --- |
| `TOKEN_F` | 99.70 |
| `TOKEN_P` | 99.69 |
| `TOKEN_R` | 99.71 |
| `TOKEN_ACC` | 99.96 |
| `SENTS_F` | 94.42 |
| `SENTS_P` | 94.42 |
| `SENTS_R` | 94.42 |
| `TAG_ACC` | 98.65 |
| `POS_ACC` | 98.56 |
| `MORPH_ACC` | 97.55 |
| `DEP_UAS` | 94.68 |
| `DEP_LAS` | 92.60 |
| `LEMMA_ACC` | 97.41 | |
Jeska/BertjeWDialDataALLQonly07 | Jeska | 2021-12-11T05:43:17Z | 10 | 0 | transformers | [
"transformers",
"pytorch",
"tensorboard",
"bert",
"fill-mask",
"generated_from_trainer",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | fill-mask | 2022-03-02T23:29:04Z | ---
tags:
- generated_from_trainer
model-index:
- name: BertjeWDialDataALLQonly07
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# BertjeWDialDataALLQonly07
This model is a fine-tuned version of [GroNLP/bert-base-dutch-cased](https://huggingface.co/GroNLP/bert-base-dutch-cased) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 2.1135
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 0.0001
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 18.0
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 2.3589 | 1.0 | 871 | 2.2805 |
| 2.2563 | 2.0 | 1742 | 2.2501 |
| 2.1936 | 3.0 | 2613 | 2.2419 |
| 2.11 | 4.0 | 3484 | 2.2301 |
| 2.0311 | 5.0 | 4355 | 2.2320 |
| 1.969 | 6.0 | 5226 | 2.2276 |
| 1.9148 | 7.0 | 6097 | 2.1621 |
| 1.8569 | 8.0 | 6968 | 2.1876 |
| 1.7978 | 9.0 | 7839 | 2.2011 |
| 1.7602 | 10.0 | 8710 | 2.1280 |
| 1.7166 | 11.0 | 9581 | 2.1644 |
| 1.6651 | 12.0 | 10452 | 2.1246 |
| 1.6141 | 13.0 | 11323 | 2.1264 |
| 1.5759 | 14.0 | 12194 | 2.1143 |
| 1.5478 | 15.0 | 13065 | 2.0982 |
| 1.5311 | 16.0 | 13936 | 2.0993 |
| 1.5187 | 17.0 | 14807 | 2.0979 |
| 1.4809 | 18.0 | 15678 | 2.0338 |
### Framework versions
- Transformers 4.13.0.dev0
- Pytorch 1.10.0
- Datasets 1.16.1
- Tokenizers 0.10.3
|
explosion/fi_udv25_finnishtdt_trf | explosion | 2021-12-11T05:06:05Z | 5 | 1 | spacy | [
"spacy",
"token-classification",
"fi",
"license:cc-by-sa-4.0",
"model-index",
"region:us"
] | token-classification | 2022-03-02T23:29:05Z | ---
tags:
- spacy
- token-classification
language:
- fi
license: cc-by-sa-4.0
model-index:
- name: fi_udv25_finnishtdt_trf
results:
- task:
name: TAG
type: token-classification
metrics:
- name: TAG (XPOS) Accuracy
type: accuracy
value: 0.9833141857
- task:
name: POS
type: token-classification
metrics:
- name: POS (UPOS) Accuracy
type: accuracy
value: 0.97907492
- task:
name: MORPH
type: token-classification
metrics:
- name: Morph (UFeats) Accuracy
type: accuracy
value: 0.959190372
- task:
name: LEMMA
type: token-classification
metrics:
- name: Lemma Accuracy
type: accuracy
value: 0.8822467731
- task:
name: UNLABELED_DEPENDENCIES
type: token-classification
metrics:
- name: Unlabeled Attachment Score (UAS)
type: f_score
value: 0.919236417
- task:
name: LABELED_DEPENDENCIES
type: token-classification
metrics:
- name: Labeled Attachment Score (LAS)
type: f_score
value: 0.8940598168
- task:
name: SENTS
type: token-classification
metrics:
- name: Sentences F-Score
type: f_score
value: 0.9619504987
---
UD v2.5 benchmarking pipeline for UD_Finnish-TDT
| Feature | Description |
| --- | --- |
| **Name** | `fi_udv25_finnishtdt_trf` |
| **Version** | `0.0.1` |
| **spaCy** | `>=3.2.1,<3.3.0` |
| **Default Pipeline** | `experimental_char_ner_tokenizer`, `transformer`, `tagger`, `morphologizer`, `parser`, `experimental_edit_tree_lemmatizer` |
| **Components** | `experimental_char_ner_tokenizer`, `transformer`, `senter`, `tagger`, `morphologizer`, `parser`, `experimental_edit_tree_lemmatizer` |
| **Vectors** | 0 keys, 0 unique vectors (0 dimensions) |
| **Sources** | [Universal Dependencies v2.5](https://lindat.mff.cuni.cz/repository/xmlui/handle/11234/1-3105) (Zeman, Daniel; et al.) |
| **License** | `CC BY-SA 4.0` |
| **Author** | [Explosion](https://explosion.ai) |
### Label Scheme
<details>
<summary>View label scheme (12912 labels for 6 components)</summary>
| Component | Labels |
| --- | --- |
| **`experimental_char_ner_tokenizer`** | `TOKEN` |
| **`senter`** | `I`, `S` |
| **`tagger`** | `A`, `Adj`, `Adp`, `Adv`, `Adv_V`, `C`, `C_V`, `Foreign`, `Interj`, `N`, `Num`, `Pron`, `Punct`, `Symb`, `V`, `V_Pron` |
| **`morphologizer`** | `Case=Nom\|Number=Sing\|POS=NOUN`, `NumType=Ord\|POS=ADJ`, `Case=Ade\|Number=Sing\|POS=NOUN`, `Case=Nom\|Derivation=U\|Number=Sing\|POS=NOUN`, `Mood=Ind\|Number=Sing\|POS=VERB\|Person=3\|Tense=Pres\|VerbForm=Fin\|Voice=Act`, `POS=ADV`, `Case=Par\|Degree=Pos\|Number=Plur\|POS=ADJ`, `POS=CCONJ`, `Case=Par\|Degree=Pos\|Derivation=Inen\|Number=Plur\|POS=ADJ`, `Case=Par\|Number=Plur\|POS=NOUN`, `Case=Ill\|Number=Sing\|POS=NOUN`, `POS=PUNCT`, `Case=Nom\|Degree=Pos\|Derivation=Lainen\|Number=Sing\|POS=ADJ`, `POS=SCONJ`, `Case=Nom\|Number=Sing\|Number[psor]=Plur\|POS=NOUN\|Person[psor]=1`, `Mood=Ind\|Number=Sing\|POS=VERB\|Person=3\|Tense=Past\|VerbForm=Fin\|Voice=Act`, `Case=Acc\|Number=Plur\|POS=PRON\|Person=1\|PronType=Prs`, `Case=Gen\|Number=Sing\|POS=NOUN`, `Case=Abl\|Degree=Pos\|Derivation=Lainen\|Number=Sing\|POS=ADJ`, `Clitic=Kaan\|Mood=Ind\|Number=Sing\|POS=VERB\|Person=3\|Tense=Past\|VerbForm=Fin\|Voice=Act`, `Mood=Ind\|Number=Sing\|POS=VERB\|Person=0\|Tense=Past\|VerbForm=Fin\|Voice=Act`, `Case=Nom\|Derivation=Lainen\|Number=Sing\|POS=ADJ`, `Case=Nom\|Number=Sing\|POS=PROPN`, `Mood=Ind\|Number=Sing\|POS=AUX\|Person=3\|Tense=Pres\|VerbForm=Fin\|Voice=Act`, `Case=Nom\|Number=Sing\|POS=PRON\|PronType=Dem`, `Clitic=Kin\|POS=ADV`, `Case=Gen\|Number=Plur\|POS=PROPN`, `Case=Ess\|Number=Sing\|POS=NOUN`, `Case=Ill\|Number=Sing\|POS=PRON\|Person=1\|PronType=Prs`, `Case=Gen\|Degree=Pos\|Number=Sing\|POS=ADJ`, `Mood=Ind\|Number=Sing\|POS=VERB\|Person=1\|Tense=Pres\|VerbForm=Fin\|Voice=Act`, `Case=Gen\|Number=Sing\|POS=PRON\|PronType=Dem`, `Case=Ela\|Derivation=Llinen,Vs\|Number=Sing\|POS=NOUN`, `POS=ADJ`, `Case=Gen\|Number=Plur\|POS=NOUN`, `Case=Par\|Number=Sing\|POS=PRON\|PronType=Dem`, `Number=Sing\|POS=AUX\|Person=3\|Polarity=Neg\|VerbForm=Fin\|Voice=Act`, `Case=Ine\|Number=Sing\|POS=PRON\|PronType=Ind`, `Case=Ine\|Number=Sing\|POS=NOUN`, `Case=Nom\|Degree=Pos\|Number=Sing\|POS=VERB\|PartForm=Past\|VerbForm=Part\|Voice=Pass`, `Case=Ade\|Number=Sing\|POS=PRON\|PronType=Ind`, `Case=Ins\|Number=Plur\|POS=NOUN`, `Case=Gen\|Number=Sing\|POS=PROPN`, `Case=Par\|Number=Sing\|POS=NOUN`, `Mood=Ind\|Number=Sing\|POS=AUX\|Person=3\|Tense=Past\|VerbForm=Fin\|Voice=Act`, `Case=Nom\|Degree=Pos\|Number=Sing\|POS=ADJ`, `Case=Nom\|Number=Plur\|POS=NOUN`, `Mood=Ind\|Number=Plur\|POS=VERB\|Person=3\|Tense=Past\|VerbForm=Fin\|Voice=Act`, `Case=All\|Number=Sing\|POS=PRON\|PronType=Dem`, `Case=Ill\|InfForm=3\|Number=Sing\|POS=VERB\|VerbForm=Inf\|Voice=Act`, `Case=Nom\|Clitic=Kin\|Number=Plur\|POS=PRON\|Person=1\|PronType=Prs`, `Mood=Ind\|Number=Plur\|POS=VERB\|Person=1\|Tense=Past\|VerbForm=Fin\|Voice=Act`, `Case=Gen\|Number=Sing\|POS=NOUN\|Style=Coll`, `Case=All\|Derivation=U\|Number=Sing\|POS=NOUN`, `AdpType=Post\|POS=ADP`, `Case=Nom\|Degree=Pos\|Derivation=Llinen\|Number=Sing\|POS=ADJ`, `Case=Gen\|Number=Sing\|POS=PRON\|PronType=Rcp`, `Case=Abl\|Number=Sing\|POS=NOUN`, `Case=All\|Number=Sing\|POS=PRON\|PronType=Rcp`, `Case=Ine\|InfForm=3\|Number=Sing\|POS=VERB\|VerbForm=Inf\|Voice=Act`, `Case=Par\|Number=Plur\|POS=PRON\|PronType=Ind`, `Case=Par\|Derivation=Ja\|Number=Plur\|POS=NOUN`, `Case=Gen\|Derivation=Vs\|Number=Sing\|POS=NOUN`, `Case=Par\|Number=Sing\|POS=PRON\|PronType=Ind`, `Case=Par\|Derivation=Ja\|Number=Sing\|POS=NOUN`, `Case=Nom\|Degree=Pos\|Derivation=Inen\|Number=Sing\|POS=ADJ`, `Case=Tra\|Number=Sing\|POS=NOUN`, `Case=Ela\|Number=Sing\|POS=NOUN`, `Case=Nom\|Degree=Pos\|Number=Sing\|POS=VERB\|PartForm=Past\|VerbForm=Part\|Voice=Act`, `Case=Par\|Degree=Pos\|Number=Sing\|POS=ADJ`, `Case=Par\|Clitic=Kin\|Number=Sing\|POS=NOUN`, `InfForm=1\|Number=Sing\|POS=VERB\|VerbForm=Inf\|Voice=Act`, `Case=Nom\|Derivation=Ja\|Number=Sing\|POS=NOUN`, `Case=Ela\|Number=Sing\|Number[psor]=Sing\|POS=NOUN\|Person[psor]=1`, `Case=Ine\|Number=Sing\|POS=NOUN\|Person[psor]=3`, `InfForm=1\|Number=Sing\|POS=AUX\|VerbForm=Inf\|Voice=Act`, `Derivation=Sti\|POS=ADV`, `Mood=Cnd\|Number=Sing\|POS=AUX\|Person=3\|VerbForm=Fin\|Voice=Act`, `Case=Ill\|Number=Sing\|POS=PRON\|PronType=Int`, `Mood=Ind\|Number=Sing\|POS=VERB\|Person=0\|Tense=Pres\|VerbForm=Fin\|Voice=Act`, `Case=Ill\|Number=Plur\|POS=NOUN`, `Case=Par\|Degree=Pos\|Number=Plur\|POS=VERB\|PartForm=Pres\|VerbForm=Part\|Voice=Act`, `Case=Nom\|Degree=Pos\|Number=Sing\|POS=VERB\|PartForm=Agt\|VerbForm=Part\|Voice=Act`, `Case=Nom\|Number=Plur\|POS=NOUN\|Person[psor]=3`, `Case=Par\|Number=Sing\|POS=PRON\|PronType=Rel`, `Case=Ine\|Clitic=Kin\|Number=Plur\|POS=NOUN`, `Mood=Ind\|POS=VERB\|Tense=Pres\|VerbForm=Fin\|Voice=Pass`, `Case=Gen\|Number=Sing\|POS=PRON\|PronType=Ind`, `Case=Gen\|NumType=Card\|Number=Sing\|POS=NUM`, `Case=All\|Number=Sing\|POS=NOUN`, `Case=Nom\|Number=Sing\|POS=PRON\|PronType=Ind`, `Case=Nom\|Number=Sing\|POS=PRON\|PronType=Rel`, `Case=Ill\|Number=Sing\|POS=NOUN\|Person[psor]=3`, `Case=Par\|Degree=Pos\|Derivation=Inen\|Number=Sing\|POS=ADJ`, `Case=Gen\|Degree=Pos\|Derivation=Lainen\|Number=Sing\|POS=ADJ`, `Case=Gen\|Derivation=Inen\|NumType=Ord\|Number=Sing\|POS=ADJ`, `Case=Nom\|Degree=Pos\|Number=Sing\|POS=VERB\|PartForm=Pres\|VerbForm=Part\|Voice=Act`, `Case=Gen\|Degree=Pos\|Number=Sing\|POS=AUX\|PartForm=Pres\|VerbForm=Part\|Voice=Act`, `Case=Nom\|Derivation=Ja\|Number=Plur\|POS=NOUN\|Typo=Yes`, `Mood=Ind\|Number=Plur\|POS=AUX\|Person=3\|Tense=Pres\|VerbForm=Fin\|Voice=Act`, `Case=Par\|Number=Sing\|POS=PRON\|Person[psor]=3\|Reflex=Yes`, `Case=All\|Degree=Pos\|Derivation=Inen\|Number=Plur\|POS=ADJ`, `Case=All\|Degree=Pos\|Number=Plur\|POS=ADJ`, `Case=All\|Number=Plur\|POS=NOUN`, `Case=Ela\|Derivation=U\|Number=Plur\|POS=NOUN`, `Case=Nom\|Degree=Pos\|Number=Sing\|POS=VERB\|PartForm=Pres\|VerbForm=Part\|Voice=Pass`, `Case=Nom\|Degree=Pos\|Number=Sing\|POS=VERB\|PartForm=Past\|Typo=Yes\|VerbForm=Part\|Voice=Act`, `Case=Nom\|Clitic=Kaan\|Number=Sing\|POS=NOUN`, `Foreign=Yes\|POS=X`, `Clitic=Ka\|Number=Sing\|POS=AUX\|Person=3\|Polarity=Neg\|VerbForm=Fin\|Voice=Act`, `Case=Ela\|Degree=Pos\|Number=Sing\|POS=ADJ`, `Connegative=Yes\|Mood=Ind\|POS=VERB\|Tense=Pres\|VerbForm=Fin`, `Case=Tra\|Degree=Pos\|Derivation=Inen\|Number=Sing\|POS=ADJ`, `Mood=Cnd\|Number=Sing\|POS=AUX\|Person=0\|VerbForm=Fin\|Voice=Act`, `Case=Nom\|Degree=Cmp\|Number=Sing\|POS=ADJ`, `Case=Nom\|Number=Sing\|POS=PRON\|Person=1\|PronType=Prs`, `Mood=Ind\|Number=Sing\|POS=AUX\|Person=1\|Tense=Pres\|VerbForm=Fin\|Voice=Act`, `Mood=Ind\|Number=Sing\|POS=VERB\|Person=1\|Tense=Past\|VerbForm=Fin\|Voice=Act`, `Case=Ade\|Number=Sing\|POS=PRON\|PronType=Rel`, `Mood=Ind\|POS=VERB\|Tense=Past\|VerbForm=Fin\|Voice=Pass`, `Case=All\|Number=Sing\|POS=PRON\|PronType=Ind`, `Case=All\|Number=Plur\|Number[psor]=Sing\|POS=NOUN\|Person[psor]=1`, `Case=Nom\|Number=Plur\|POS=PRON\|PronType=Ind`, `Mood=Ind\|Number=Plur\|POS=AUX\|Person=3\|Tense=Past\|VerbForm=Fin\|Voice=Act`, `Case=Nom\|Number=Plur\|POS=PRON\|Person=3\|PronType=Prs`, `Clitic=Kin\|Mood=Ind\|Number=Plur\|POS=AUX\|Person=3\|Tense=Past\|VerbForm=Fin\|Voice=Act`, `Case=Nom\|Degree=Pos\|Number=Plur\|POS=VERB\|PartForm=Past\|VerbForm=Part\|Voice=Act`, `Case=Par\|Derivation=Vs\|Number=Sing\|POS=NOUN`, `Case=Gen\|Number=Sing\|Number[psor]=Sing\|POS=NOUN\|Person[psor]=1`, `Case=Gen\|Degree=Pos\|Number=Sing\|POS=VERB\|PartForm=Pres\|VerbForm=Part\|Voice=Act`, `Case=Nom\|Number=Sing\|Number[psor]=Sing\|POS=NOUN\|Person[psor]=1`, `Case=Ill\|Derivation=Ja\|Number=Sing\|Number[psor]=Sing\|POS=NOUN\|Person[psor]=1`, `Mood=Cnd\|Number=Plur\|POS=AUX\|Person=3\|VerbForm=Fin\|Voice=Act`, `Case=Ine\|Number=Sing\|POS=PRON\|PronType=Dem`, `Case=Ine\|Number=Sing\|POS=PROPN`, `Mood=Ind\|Number=Sing\|POS=AUX\|Person=0\|Tense=Pres\|VerbForm=Fin\|Voice=Act`, `Case=Nom\|Number=Sing\|POS=PRON`, `Case=Nom\|Derivation=Inen\|NumType=Ord\|Number=Sing\|POS=ADJ`, `Case=Nom\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs`, `Case=Ess\|Degree=Pos\|Number=Sing\|POS=VERB\|PartForm=Past\|VerbForm=Part\|Voice=Act`, `Clitic=Ko\|Mood=Cnd\|Number=Plur\|POS=AUX\|Person=1\|VerbForm=Fin\|Voice=Act`, `Case=Par\|Number=Plur\|POS=PRON\|Person=3\|PronType=Prs`, `Clitic=Ko\|Mood=Ind\|Number=Sing\|POS=VERB\|Person=0\|Tense=Pres\|VerbForm=Fin\|Voice=Act`, `Case=Gen\|Number=Plur\|POS=PRON\|Person=1\|PronType=Prs`, `Case=Ine\|Degree=Pos\|Number=Sing\|POS=ADJ`, `Case=Ine\|Number=Sing\|Number[psor]=Plur\|POS=NOUN\|Person[psor]=1\|Style=Coll`, `Case=Ade\|Number=Sing\|POS=NOUN\|Person[psor]=3`, `Derivation=Ttain\|POS=ADV`, `Case=Nom\|Degree=Pos\|Number=Sing\|POS=VERB\|PartForm=Pres\|Typo=Yes\|VerbForm=Part\|Voice=Act`, `Case=Nom\|Clitic=Kin\|Degree=Pos\|Number=Sing\|POS=ADJ`, `Case=Ine\|InfForm=2\|Number=Sing\|Number[psor]=Sing\|POS=VERB\|Person[psor]=1\|VerbForm=Inf\|Voice=Act`, `Case=All\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs`, `Case=Ela\|Degree=Pos\|Number=Plur\|POS=ADJ`, `Case=Ela\|Number=Plur\|Number[psor]=Sing\|POS=NOUN\|Person[psor]=1`, `Case=Ine\|Number=Plur\|POS=NOUN`, `Case=Com\|POS=NOUN\|Person[psor]=3`, `Case=Com\|POS=PRON\|Person[psor]=3\|PronType=Ind`, `Number[psor]=Sing\|POS=ADV\|Person[psor]=1`, `Case=Par\|Number=Sing\|Number[psor]=Sing\|POS=PRON\|Person[psor]=1\|Reflex=Yes`, `Case=Par\|Number=Sing\|POS=PRON\|PronType=Int`, `Clitic=Ko\|Mood=Ind\|Number=Sing\|POS=AUX\|Person=1\|Tense=Pres\|VerbForm=Fin\|Voice=Act`, `Clitic=Ko\|Mood=Cnd\|Number=Sing\|POS=AUX\|Person=3\|VerbForm=Fin\|Voice=Act`, `Case=Ine\|Number=Sing\|POS=PRON\|PronType=Rel`, `Case=Gen\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs`, `Case=Gen\|Derivation=Vs\|Number=Sing\|POS=NOUN\|Person[psor]=3`, `Case=Par\|Derivation=Minen\|Number=Sing\|POS=NOUN`, `Case=Nom\|Degree=Pos\|Derivation=Lainen\|Number=Plur\|POS=ADJ`, `Case=Ade\|Degree=Pos\|Derivation=Inen\|Number=Sing\|POS=ADJ`, `Connegative=Yes\|Mood=Ind\|POS=VERB\|Tense=Pres\|VerbForm=Fin\|Voice=Pass`, `Case=Ill\|Degree=Cmp\|Number=Sing\|POS=ADJ`, `Number=Sing\|POS=SCONJ\|Person=1\|Polarity=Neg\|VerbForm=Fin\|Voice=Act`, `Case=Par\|Number=Sing\|Number[psor]=Sing\|POS=NOUN\|Person[psor]=1`, `Case=Par\|Number=Sing\|POS=NOUN\|Person[psor]=3`, `AdpType=Post\|POS=ADP\|Person[psor]=3`, `Mood=Ind\|Number=Plur\|POS=VERB\|Person=3\|Tense=Pres\|VerbForm=Fin\|Voice=Act`, `Mood=Cnd\|Number=Sing\|POS=VERB\|Person=3\|VerbForm=Fin\|Voice=Act`, `Case=Nom\|Derivation=Vs\|Number=Sing\|POS=NOUN`, `Case=Ill\|Degree=Pos\|Derivation=Ton\|Number=Plur\|POS=ADJ`, `Case=Ill\|Derivation=U\|Number=Sing\|POS=NOUN`, `Case=Nom\|Derivation=Minen\|Number=Sing\|POS=NOUN`, `Case=Ill\|Degree=Pos\|Number=Plur\|POS=ADJ`, `Case=All\|Number=Sing\|Number[psor]=Sing\|POS=NOUN\|Person[psor]=1`, `Abbr=Yes\|Case=Ine\|Number=Sing\|POS=NOUN`, `Case=Ine\|InfForm=2\|Number=Sing\|Number[psor]=Sing\|POS=AUX\|Person[psor]=1\|VerbForm=Inf\|Voice=Act`, `Number=Sing\|POS=AUX\|Person=1\|Polarity=Neg\|VerbForm=Fin\|Voice=Act`, `Case=Ela\|Number=Plur\|POS=NOUN`, `Case=Nom\|NumType=Card\|Number=Sing\|POS=NUM`, `Case=Par\|Degree=Cmp\|Number=Plur\|POS=ADJ`, `Case=Ine\|Number=Sing\|POS=PROPN\|Style=Coll`, `Abbr=Yes\|Case=Par\|Number=Sing\|POS=NOUN`, `Case=Ess\|Degree=Pos\|Number=Plur\|POS=ADJ`, `Case=Ess\|Number=Plur\|POS=NOUN`, `Case=Nom\|Degree=Pos\|Number=Sing\|POS=AUX\|PartForm=Past\|VerbForm=Part\|Voice=Act`, `Case=Ill\|Number=Sing\|POS=PROPN`, `Case=Par\|Degree=Pos\|Derivation=Llinen\|Number=Sing\|POS=ADJ`, `Case=Ine\|InfForm=2\|Number=Sing\|POS=VERB\|Person[psor]=3\|VerbForm=Inf\|Voice=Act`, `NumType=Card\|POS=NUM`, `Case=Tra\|Degree=Pos\|Number=Sing\|POS=ADJ`, `Case=Ill\|Degree=Pos\|Derivation=Inen\|Number=Plur\|POS=ADJ`, `Case=Ill\|NumType=Card\|Number=Sing\|POS=NUM`, `Case=Ins\|InfForm=2\|Number=Sing\|POS=VERB\|VerbForm=Inf\|Voice=Act`, `Case=Gen\|Derivation=Lainen\|Number=Plur\|POS=NOUN`, `Case=Ela\|Derivation=Vs\|Number=Plur\|POS=NOUN`, `Case=Ade\|Number=Plur\|POS=NOUN`, `Case=Gen\|Number=Sing\|POS=NOUN\|Typo=Yes`, `Case=Ade\|InfForm=3\|Number=Sing\|POS=VERB\|VerbForm=Inf\|Voice=Act`, `Mood=Ind\|Number=Sing\|POS=AUX\|Person=1\|Tense=Past\|VerbForm=Fin\|Voice=Act`, `Mood=Ind\|Number=Plur\|POS=VERB\|Person=3\|Style=Coll\|Tense=Past\|VerbForm=Fin\|Voice=Act`, `Case=Abl\|Number=Sing\|POS=PRON\|Person=1\|PronType=Prs`, `Case=Ade\|Number=Plur\|POS=PRON\|Person=1\|PronType=Prs`, `Case=Ill\|Degree=Pos\|Number=Sing\|POS=ADJ`, `Case=Ela\|Number=Sing\|POS=PRON\|PronType=Int`, `Case=Ess\|Degree=Pos\|Number=Sing\|POS=ADJ`, `Case=Ess\|Number=Sing\|POS=PRON\|Person[psor]=3\|Reflex=Yes`, `Case=Ade\|Number=Sing\|POS=PRON\|PronType=Dem`, `Connegative=Yes\|Mood=Ind\|POS=AUX\|Tense=Pres\|VerbForm=Fin`, `Clitic=Ko\|Number=Sing\|POS=SCONJ\|Person=3\|Polarity=Neg\|VerbForm=Fin\|Voice=Act`, `Case=Par\|Number=Plur\|POS=PRON\|PronType=Dem`, `Connegative=Yes\|Mood=Cnd\|POS=AUX\|VerbForm=Fin`, `Case=Ela\|Derivation=U\|Number=Sing\|POS=NOUN`, `Case=Par\|Degree=Cmp\|Number=Sing\|POS=ADJ`, `Case=Nom\|Number=Sing\|POS=NOUN\|Person[psor]=3`, `Case=Par\|Derivation=Llinen,Vs\|Number=Plur\|POS=NOUN`, `Case=Gen\|Number=Plur\|POS=PRON\|PronType=Rel`, `Case=Gen\|Derivation=Ja\|Number=Sing\|POS=NOUN`, `Case=Par\|Degree=Pos\|Number=Sing\|POS=VERB\|PartForm=Agt\|VerbForm=Part\|Voice=Act`, `Mood=Imp\|Number=Sing\|POS=AUX\|Person=2\|VerbForm=Fin\|Voice=Act`, `Mood=Imp\|Number=Sing\|POS=VERB\|Person=2\|VerbForm=Fin\|Voice=Act`, `POS=SYM`, `Mood=Ind\|Number=Plur\|POS=AUX\|Person=1\|Tense=Pres\|VerbForm=Fin\|Voice=Act`, `Case=Nom\|Number=Plur\|POS=PRON\|PronType=Dem`, `Case=Nom\|Number=Plur\|POS=PRON\|PronType=Rel`, `Clitic=Ka\|Number=Plur\|POS=AUX\|Person=3\|Polarity=Neg\|VerbForm=Fin\|Voice=Act`, `Case=Gen\|Number=Sing\|POS=NOUN\|Person[psor]=3`, `Case=Ela\|Number=Sing\|POS=PRON\|PronType=Dem`, `Mood=Cnd\|Number=Sing\|POS=VERB\|Person=0\|VerbForm=Fin\|Voice=Act`, `Case=Ess\|Clitic=Kaan\|Number=Sing\|POS=PRON\|PronType=Dem`, `Case=Ess\|Derivation=U\|Number=Sing\|POS=NOUN`, `Case=Gen\|Number=Plur\|POS=PRON\|PronType=Dem`, `Case=Gen\|Number=Plur\|POS=PRON\|Person=3\|PronType=Prs`, `Number=Sing\|POS=SCONJ\|Person=3\|Polarity=Neg\|VerbForm=Fin\|Voice=Act`, `Clitic=Kaan\|POS=ADV`, `Clitic=Pa\|Mood=Ind\|Number=Sing\|POS=VERB\|Person=1\|Tense=Pres\|VerbForm=Fin\|Voice=Act`, `Case=Ade\|Degree=Pos\|Number=Sing\|POS=ADJ`, `Case=Par\|Degree=Pos\|Derivation=Lainen\|Number=Sing\|POS=ADJ`, `Case=Ine\|Number=Sing\|Number[psor]=Sing\|POS=NOUN\|Person[psor]=1`, `Case=Gen\|Number=Sing\|POS=PRON\|PronType=Rel`, `Case=Ade\|Derivation=U\|Number=Sing\|POS=NOUN`, `Abbr=Yes\|POS=ADV`, `Case=Ine\|Degree=Pos\|Derivation=Ton\|Number=Sing\|POS=ADJ`, `Case=Par\|Degree=Pos\|Number=Plur\|Number[psor]=Sing\|POS=ADJ\|Person[psor]=1`, `Case=All\|Number=Sing\|POS=PRON\|Person=1\|PronType=Prs`, `Case=Nom\|Clitic=Kin\|Number=Sing\|POS=NOUN`, `POS=ADV\|Typo=Yes`, `Mood=Cnd\|Number=Sing\|POS=VERB\|Person=1\|VerbForm=Fin\|Voice=Act`, `Case=Gen\|Degree=Pos\|Derivation=Inen\|Number=Plur\|POS=ADJ`, `Case=Ela\|Derivation=Minen\|Number=Sing\|POS=NOUN`, `Case=Gen\|Degree=Pos\|Number=Plur\|POS=ADJ`, `Case=Nom\|Degree=Pos\|Number=Plur\|POS=ADJ`, `Case=Ela\|Number=Sing\|POS=PRON\|PronType=Ind`, `Case=Ela\|Degree=Pos\|Derivation=Llinen\|Number=Sing\|POS=ADJ`, `Case=Gen\|Degree=Pos\|Derivation=Inen\|Number=Sing\|POS=ADJ`, `Case=Gen\|Degree=Pos\|Derivation=Llinen\|Number=Sing\|POS=ADJ`, `Case=All\|Degree=Pos\|Number=Sing\|POS=ADJ`, `Case=Ine\|Number=Plur\|POS=NOUN\|Person[psor]=3`, `Case=Par\|Derivation=U\|Number=Plur\|POS=NOUN`, `Case=Ela\|Degree=Pos\|Derivation=Inen\|Number=Sing\|POS=ADJ`, `Clitic=Ko\|Mood=Cnd\|Number=Sing\|POS=VERB\|Person=3\|VerbForm=Fin\|Voice=Act`, `Case=Par\|Degree=Pos\|Number=Sing\|POS=VERB\|PartForm=Pres\|VerbForm=Part\|Voice=Pass`, `Mood=Ind\|Number=Plur\|POS=VERB\|Person=1\|Tense=Pres\|VerbForm=Fin\|Voice=Act`, `Case=Ine\|Degree=Pos\|Derivation=Inen\|Number=Plur\|POS=ADJ`, `Mood=Cnd\|Number=Plur\|POS=VERB\|Person=1\|VerbForm=Fin\|Voice=Act`, `Case=Gen\|Derivation=U\|Number=Sing\|POS=NOUN`, `Case=All\|Clitic=Kin\|Number=Sing\|POS=PROPN`, `Clitic=Kin\|Mood=Ind\|Number=Sing\|POS=AUX\|Person=3\|Tense=Pres\|VerbForm=Fin\|Voice=Act`, `Case=Ine\|Derivation=Vs\|Number=Plur\|POS=NOUN\|Person[psor]=3`, `Case=All\|Number=Sing\|POS=PRON\|Person[psor]=3\|Reflex=Yes`, `AdpType=Prep\|POS=ADP`, `Case=Par\|Derivation=U\|Number=Sing\|POS=NOUN`, `Case=Ine\|Number=Sing\|POS=PRON\|PronType=Int`, `Case=Nom\|Number=Sing\|POS=PRON\|Person=2\|PronType=Prs\|Style=Coll`, `Mood=Ind\|Number=Sing\|POS=AUX\|Person=2\|Tense=Pres\|VerbForm=Fin\|Voice=Act`, `Case=Nom\|Number=Sing\|POS=PRON\|PronType=Rcp`, `Clitic=Ko\|Mood=Ind\|Number=Sing\|POS=AUX\|Person=3\|Tense=Pres\|VerbForm=Fin\|Voice=Act`, `Case=Nom\|Derivation=Vs\|Number=Sing\|Number[psor]=Sing\|POS=NOUN\|Person[psor]=1`, `Case=Nom\|Number=Sing\|POS=PRON\|Person=1\|PronType=Prs\|Style=Coll`, `Case=Acc\|Number=Sing\|POS=PRON\|Person=2\|PronType=Prs\|Style=Coll`, `POS=INTJ`, `Case=Nom\|Derivation=Ja\|Number=Plur\|POS=NOUN`, `Case=Par\|Number=Plur\|POS=PRON\|Person=1\|PronType=Prs`, `Case=Ess\|Degree=Pos\|Derivation=Inen\|Number=Sing\|POS=ADJ`, `Case=Ade\|Number=Sing\|POS=PRON\|Person=2\|PronType=Prs\|Style=Coll`, `Case=Ine\|InfForm=3\|Number=Sing\|POS=AUX\|VerbForm=Inf\|Voice=Act`, `Case=Gen\|Degree=Pos\|Number=Sing\|Number[psor]=Sing\|POS=VERB\|PartForm=Pres\|Person[psor]=1\|VerbForm=Part\|Voice=Act`, `Case=Ela\|Clitic=Kin\|Number=Sing\|POS=PRON\|PronType=Dem`, `Clitic=Kin\|Mood=Ind\|Number=Sing\|POS=AUX\|Person=1\|Tense=Past\|VerbForm=Fin\|Voice=Act`, `Case=Gen\|Degree=Pos\|Number=Sing\|POS=VERB\|PartForm=Past\|VerbForm=Part\|Voice=Pass`, `Case=Gen\|Number=Sing\|POS=PRON\|Person=1\|PronType=Prs`, `Case=Ela\|Number=Plur\|POS=PRON\|PronType=Ind`, `Mood=Cnd\|Number=Sing\|POS=AUX\|Person=1\|VerbForm=Fin\|Voice=Act`, `Case=Ill\|Derivation=Inen,Vs\|Number=Sing\|POS=NOUN`, `Case=Ine\|Number=Plur\|POS=PRON\|PronType=Ind`, `Case=Nom\|Clitic=Kin\|Number=Sing\|POS=PRON\|PronType=Rcp`, `Case=Par\|Derivation=Lainen\|Number=Sing\|POS=ADJ`, `Case=Ela\|Number=Plur\|POS=PRON\|PronType=Dem`, `Case=Nom\|Number=Sing\|POS=NOUN\|Style=Coll`, `Case=Ine\|Number=Plur\|POS=PRON\|PronType=Rel`, `Case=Ela\|Degree=Sup\|Number=Sing\|POS=ADJ`, `Case=Nom\|Clitic=Kin\|Number=Sing\|POS=PRON\|PronType=Dem`, `Case=Abl\|Derivation=U\|Number=Sing\|POS=NOUN`, `Case=Ill\|Degree=Pos\|Number=Plur\|Number[psor]=Sing\|POS=VERB\|PartForm=Agt\|Person[psor]=1\|VerbForm=Part\|Voice=Act`, `Case=Abl\|Number=Sing\|POS=PRON\|PronType=Ind`, `Case=Abl\|Derivation=Ja\|Number=Sing\|POS=NOUN`, `Case=Tra\|Derivation=U\|Number=Sing\|POS=NOUN`, `Case=Ill\|Number=Sing\|POS=PRON\|PronType=Dem`, `Case=Abe\|InfForm=3\|Number=Sing\|POS=VERB\|VerbForm=Inf\|Voice=Act`, `Case=Ade\|Number=Sing\|POS=PRON\|Person=1\|PronType=Prs`, `Case=Tra\|Derivation=Ja\|Number=Sing\|POS=NOUN`, `Case=Ela\|Number=Sing\|POS=PRON\|Person=1\|PronType=Prs`, `Case=Ade\|Number=Sing\|POS=NOUN\|Person[psor]=3\|Typo=Yes`, `Case=Ela\|Number=Sing\|POS=PRON\|PronType=Rel`, `Case=Nom\|Degree=Sup\|Number=Sing\|POS=ADJ`, `Clitic=Kin\|Mood=Ind\|Number=Sing\|POS=VERB\|Person=1\|Tense=Past\|VerbForm=Fin\|Voice=Act`, `Case=Ine\|Degree=Pos\|Derivation=Lainen\|Number=Plur\|POS=ADJ`, `Case=All\|Derivation=Ja\|Number=Sing\|POS=NOUN`, `Case=Gen\|Number=Plur\|Number[psor]=Sing\|POS=NOUN\|Person[psor]=1`, `Case=Nom\|Degree=Pos\|Derivation=Ton\|Number=Plur\|POS=ADJ`, `Case=All\|Number=Plur\|POS=PRON\|Person=2\|PronType=Prs`, `Case=Abl\|Number=Sing\|POS=NOUN\|Person[psor]=3`, `Case=Gen\|Derivation=Lainen\|Number=Sing\|POS=NOUN`, `Mood=Imp\|Number=Plur\|POS=VERB\|Person=2\|VerbForm=Fin\|Voice=Act`, `Abbr=Yes\|Case=Nom\|Number=Sing\|POS=NOUN`, `Case=Nom\|Derivation=Vs\|Number=Plur\|POS=NOUN`, `Case=Par\|Number=Sing\|POS=PRON\|Person=1\|PronType=Prs`, `Case=Gen\|Number=Sing\|Number[psor]=Plur\|POS=NOUN\|Person[psor]=1`, `Clitic=Kin\|Mood=Cnd\|POS=AUX\|VerbForm=Fin\|Voice=Pass`, `Clitic=Han\|Mood=Ind\|Number=Plur\|POS=VERB\|Person=2\|Tense=Pres\|VerbForm=Fin\|Voice=Act`, `Case=Ela\|Degree=Sup\|Number=Plur\|POS=ADJ`, `Case=Par\|Degree=Pos\|Number=Sing\|POS=VERB\|PartForm=Past\|VerbForm=Part\|Voice=Pass`, `Case=Gen\|Number=Plur\|POS=PRON\|PronType=Ind`, `Mood=Ind\|Number=Plur\|POS=AUX\|Person=2\|Tense=Pres\|VerbForm=Fin\|Voice=Act`, `Case=Ela\|Derivation=U\|Number=Sing\|Number[psor]=Plur\|POS=NOUN\|Person[psor]=1`, `Case=Nom\|Clitic=Han\|Number=Sing\|POS=PRON\|PronType=Ind`, `Abbr=Yes\|Case=Gen\|Number=Sing\|POS=PROPN`, `Clitic=Kin\|Mood=Ind\|Number=Sing\|POS=AUX\|Person=3\|Tense=Past\|VerbForm=Fin\|Voice=Act`, `Case=All\|Derivation=Ja\|Number=Plur\|POS=NOUN`, `Clitic=Han\|Mood=Ind\|Number=Sing\|POS=AUX\|Person=0\|Tense=Past\|VerbForm=Fin\|Voice=Act`, `Derivation=Sti\|POS=ADV\|Typo=Yes`, `Case=All\|Number=Plur\|POS=PRON\|PronType=Ind`, `Case=Ill\|Number=Sing\|Number[psor]=Sing\|POS=NOUN\|Person[psor]=1`, `Case=Gen\|Derivation=Minen\|Number=Sing\|POS=NOUN`, `Case=Nom\|Derivation=Tar\|Number=Sing\|POS=NOUN`, `Clitic=Ko\|Mood=Ind\|Number=Sing\|POS=VERB\|Person=3\|Tense=Pres\|VerbForm=Fin\|Voice=Act`, `Case=Par\|Derivation=Minen\|Number=Plur\|POS=NOUN`, `Case=Ill\|Number=Plur\|Number[psor]=Sing\|POS=NOUN\|Person[psor]=1`, `Case=Nom\|Clitic=Kin\|Number=Sing\|Number[psor]=Sing\|POS=NOUN\|Person[psor]=1`, `Case=Ess\|Degree=Pos\|Number=Sing\|POS=VERB\|PartForm=Past\|VerbForm=Part\|Voice=Pass`, `Case=Ill\|Degree=Pos\|Derivation=Inen\|Number=Sing\|POS=ADJ\|Style=Coll`, `Case=Par\|Number=Plur\|POS=NOUN\|Person[psor]=3`, `Case=Nom\|Clitic=Kin\|Number=Sing\|POS=NOUN\|Style=Coll`, `Case=Ade\|Number=Sing\|POS=PROPN`, `Case=Nom\|Clitic=Han\|Number=Sing\|POS=PRON\|PronType=Dem`, `Case=Ess\|Derivation=Inen\|NumType=Ord\|Number=Sing\|POS=ADJ`, `Clitic=Ka\|Number=Sing\|POS=AUX\|Person=1\|Polarity=Neg\|VerbForm=Fin\|Voice=Act`, `Case=Nom\|Derivation=U\|Number=Sing\|Number[psor]=Sing\|POS=NOUN\|Person[psor]=1`, `Case=Gen\|Degree=Pos\|Number=Sing\|POS=VERB\|PartForm=Pres\|VerbForm=Part\|Voice=Pass`, `Case=Nom\|Degree=Pos\|Derivation=Inen\|Number=Plur\|POS=ADJ`, `Case=Nom\|Number=Plur\|POS=NOUN\|Style=Coll`, `Case=Ill\|Degree=Cmp\|Number=Plur\|POS=ADJ`, `Case=Nom\|Clitic=Kaan\|Degree=Pos\|Number=Sing\|POS=AUX\|PartForm=Past\|VerbForm=Part\|Voice=Act`, `Case=Par\|Number=Plur\|Number[psor]=Sing\|POS=NOUN\|Person[psor]=1`, `Case=Nom\|Degree=Pos\|Derivation=Llinen\|Number=Plur\|POS=ADJ`, `Case=Par\|Number=Sing\|POS=PROPN`, `Number=Sing\|POS=VERB\|Person=0\|Polarity=Neg\|VerbForm=Fin\|Voice=Act`, `Mood=Ind\|Number=Sing\|POS=VERB\|Person=2\|Tense=Pres\|VerbForm=Fin\|Voice=Act`, `Case=Ela\|Number=Sing\|POS=PRON\|PronType=Prs\|Style=Coll`, `Case=Ela\|Number=Sing\|POS=PROPN`, `Case=Nom\|Clitic=Pa\|Number=Sing\|POS=PRON\|Person=1\|PronType=Prs`, `Case=Ade\|Number=Sing\|Number[psor]=Sing\|POS=NOUN\|Person[psor]=1`, `Case=Par\|Degree=Pos\|Number=Plur\|POS=ADJ\|Typo=Yes`, `POS=ADV\|Style=Coll`, `Case=All\|Number=Sing\|Number[psor]=Sing\|POS=PRON\|Person[psor]=1\|Reflex=Yes`, `Case=Tra\|Degree=Pos\|Derivation=Llinen\|Number=Sing\|POS=ADJ`, `Case=Nom\|Degree=Pos\|Number=Plur\|Number[psor]=Sing\|POS=VERB\|PartForm=Agt\|Person[psor]=1\|VerbForm=Part\|Voice=Act`, `Case=Nom\|Number=Plur\|Number[psor]=Sing\|POS=NOUN\|Person[psor]=1`, `Case=Gen\|Degree=Pos\|Number=Sing\|POS=ADJ\|Person[psor]=3`, `Case=Par\|Degree=Pos\|Derivation=Llinen\|Number=Plur\|POS=ADJ`, `Mood=Ind\|POS=AUX\|Tense=Pres\|VerbForm=Fin\|Voice=Pass`, `Mood=Ind\|Number=Sing\|POS=AUX\|Person=0\|Tense=Past\|VerbForm=Fin\|Voice=Act`, `Case=All\|Number=Sing\|POS=NOUN\|Style=Coll`, `Clitic=Han\|Mood=Ind\|Number=Sing\|POS=AUX\|Person=3\|Tense=Pres\|VerbForm=Fin\|Voice=Act`, `Case=Gen\|Number=Sing\|POS=PRON\|PronType=Dem\|Typo=Yes`, `Case=Ine\|Derivation=Vs\|Number=Sing\|POS=NOUN\|Person[psor]=3`, `Case=Gen\|Degree=Sup\|Number=Sing\|POS=ADJ`, `Case=Par\|Degree=Pos\|Number=Plur\|POS=PRON\|PronType=Ind`, `Case=Par\|Degree=Pos\|Derivation=Ton\|Number=Plur\|POS=ADJ`, `Case=Ine\|Number=Plur\|POS=PRON\|PronType=Dem`, `Number=Plur\|POS=AUX\|Person=3\|Polarity=Neg\|VerbForm=Fin\|Voice=Act`, `Case=Nom\|Degree=Pos\|Number=Plur\|POS=AUX\|PartForm=Past\|VerbForm=Part\|Voice=Act`, `Case=Gen\|Number=Sing\|Number[psor]=Plur\|POS=NOUN\|Person[psor]=2`, `Mood=Ind\|Number=Plur\|POS=VERB\|Person=2\|Tense=Past\|VerbForm=Fin\|Voice=Act`, `Clitic=Kin\|Mood=Ind\|Number=Sing\|POS=VERB\|Person=3\|Tense=Pres\|VerbForm=Fin\|Voice=Act`, `Case=Gen\|Clitic=Kin\|Degree=Pos\|Number=Sing\|POS=ADJ`, `Case=Ade\|Number=Plur\|POS=NOUN\|Person[psor]=3`, `Case=All\|Derivation=Vs\|Number=Plur\|POS=NOUN`, `Case=Par\|NumType=Card\|Number=Plur\|POS=NUM\|Typo=Yes`, `Clitic=Ko\|Number=Sing\|POS=AUX\|Person=3\|Polarity=Neg\|VerbForm=Fin\|Voice=Act`, `Clitic=Kin\|Connegative=Yes\|Mood=Ind\|POS=AUX\|Tense=Pres\|VerbForm=Fin`, `Case=Ill\|NumType=Card\|Number=Plur\|POS=NUM`, `Case=Ela\|Number=Plur\|POS=PRON\|PronType=Rel`, `Case=Nom\|Number=Plur\|POS=PRON\|PronType=Rcp`, `Abbr=Yes\|Case=Abl\|Number=Sing\|POS=PROPN`, `Case=Abl\|Number=Sing\|POS=PROPN`, `Mood=Ind\|Number=Plur\|POS=VERB\|Person=2\|Tense=Pres\|VerbForm=Fin\|Voice=Act`, `Case=Ine\|Degree=Pos\|Derivation=Inen\|Number=Sing\|POS=ADJ`, `Case=Nom\|Clitic=Kin\|Number=Plur\|POS=NOUN`, `Case=Nom\|Degree=Pos\|Number=Plur\|POS=ADJ\|Typo=Yes`, `Case=Ade\|Clitic=Kin\|Number=Sing\|POS=NOUN`, `Case=Ade\|Degree=Cmp\|Derivation=Inen\|Number=Plur\|POS=ADJ`, `Case=Gen\|Degree=Cmp\|Number=Sing\|POS=ADJ`, `Case=Ine\|Degree=Pos\|Number=Plur\|POS=ADJ`, `Case=Nom\|Number=Sing\|POS=PRON\|PronType=Int`, `Case=Par\|Number=Plur\|POS=PRON\|Person=2\|PronType=Prs`, `Clitic=Kin\|Mood=Ind\|Number=Sing\|POS=AUX\|Person=1\|Tense=Pres\|VerbForm=Fin\|Voice=Act`, `Clitic=Kin\|Mood=Cnd\|Number=Sing\|POS=VERB\|Person=1\|VerbForm=Fin\|Voice=Act`, `Case=Nom\|NumType=Card\|Number=Plur\|POS=NUM\|Typo=Yes`, `Case=Ess\|Number=Sing\|POS=PRON\|PronType=Dem`, `Clitic=Han\|POS=ADV`, `Case=Par\|Derivation=Llinen\|Number=Sing\|POS=ADJ`, `Case=Gen\|Number=Sing\|Number[psor]=Sing\|POS=PRON\|Person[psor]=1\|Reflex=Yes`, `Case=Nom\|Clitic=Kin\|Degree=Pos\|Number=Sing\|POS=VERB\|PartForm=Past\|VerbForm=Part\|Voice=Act`, `Case=Par\|Derivation=Llinen\|Number=Sing\|POS=NOUN`, `Case=Nom\|Degree=Pos\|Number=Sing\|Number[psor]=Sing\|POS=VERB\|PartForm=Pres\|Person[psor]=1\|VerbForm=Part\|Voice=Act`, `Case=Abl\|Number=Plur\|POS=NOUN`, `Case=Abl\|Derivation=Lainen\|Number=Plur\|POS=NOUN`, `Case=Nom\|Degree=Pos\|Number=Plur\|POS=VERB\|PartForm=Past\|VerbForm=Part\|Voice=Pass`, `Case=All\|Number=Plur\|POS=PRON\|Person=1\|PronType=Prs`, `Case=Par\|Derivation=Llinen,Vs\|Number=Sing\|POS=NOUN`, `Case=Ine\|Number=Plur\|Number[psor]=Plur\|POS=NOUN\|Person[psor]=1`, `Case=Ela\|Number=Sing\|Number[psor]=Plur\|POS=NOUN\|Person[psor]=1`, `Case=Nom\|Degree=Pos\|Derivation=Ton\|Number=Sing\|POS=ADJ`, `Case=Par\|Derivation=Ton,Vs\|Number=Sing\|POS=NOUN`, `Number=Plur\|POS=AUX\|Person=1\|Polarity=Neg\|VerbForm=Fin\|Voice=Act`, `Case=Ill\|Number=Plur\|POS=PRON\|PronType=Rel`, `Case=Ela\|InfForm=3\|Number=Sing\|POS=VERB\|VerbForm=Inf\|Voice=Act`, `Case=Gen\|Derivation=Inen,Vs\|Number=Sing\|POS=NOUN`, `Case=All\|Number=Plur\|POS=PRON\|PronType=Dem`, `Case=Gen\|Derivation=Llinen,Vs\|Number=Sing\|POS=NOUN`, `Case=Par\|Number=Sing\|Number[psor]=Plur\|POS=NOUN\|Person[psor]=1`, `Case=Par\|Degree=Pos\|Derivation=Ton\|Number=Sing\|POS=ADJ`, `Case=Tra\|InfForm=1\|Number=Sing\|POS=VERB\|Person[psor]=3\|VerbForm=Inf\|Voice=Act`, `Number=Sing\|POS=AUX\|Person=2\|Polarity=Neg\|VerbForm=Fin\|Voice=Act`, `Case=Ill\|Degree=Pos\|Derivation=Inen\|Number=Sing\|POS=ADJ`, `Case=All\|Derivation=Minen\|Number=Sing\|POS=NOUN`, `Abbr=Yes\|Case=Ade\|Number=Sing\|POS=NOUN`, `Case=Gen\|Degree=Pos\|Number=Sing\|POS=VERB\|PartForm=Past\|Person[psor]=3\|VerbForm=Part\|Voice=Act`, `Case=Par\|Degree=Sup\|Number=Plur\|POS=ADJ`, `Case=Nom\|Degree=Pos\|Derivation=Inen\|Number=Plur\|Number[psor]=Sing\|POS=ADJ\|Person[psor]=1`, `Case=Nom\|Clitic=Kin\|Degree=Cmp\|Number=Plur\|POS=ADJ`, `Clitic=Kaan\|Mood=Ind\|Number=Sing\|POS=AUX\|Person=3\|Tense=Pres\|VerbForm=Fin\|Voice=Act`, `Case=Ine\|InfForm=2\|Number=Sing\|POS=VERB\|VerbForm=Inf\|Voice=Act`, `Case=Ill\|Derivation=Vs\|Number=Plur\|POS=NOUN`, `Case=Par\|Derivation=Vs\|Number=Plur\|POS=NOUN`, `Case=Ill\|Degree=Pos\|Number=Sing\|POS=VERB\|PartForm=Past\|VerbForm=Part\|Voice=Act`, `Case=All\|Number=Sing\|Number[psor]=Plur\|POS=PRON\|Person[psor]=1\|Reflex=Yes`, `Case=Nom\|Derivation=Llinen,Vs\|Number=Sing\|POS=NOUN`, `Number=Plur\|POS=SCONJ\|Person=1\|Polarity=Neg\|VerbForm=Fin\|Voice=Act`, `Case=Nom\|Number=Plur\|POS=PRON\|Person=1\|PronType=Prs`, `Case=Nom\|Number=Plur\|Number[psor]=Plur\|POS=NOUN\|Person[psor]=1`, `Case=Ela\|Degree=Pos\|Derivation=Lainen\|Number=Plur\|POS=ADJ`, `Case=Ill\|Number=Sing\|Number[psor]=Plur\|POS=PRON\|Person[psor]=1\|Reflex=Yes`, `Case=Ill\|Number=Plur\|Number[psor]=Plur\|POS=NOUN\|Person[psor]=1`, `Case=Ela\|NumType=Card\|Number=Sing\|POS=NUM`, `Case=All\|Number=Sing\|POS=PRON\|Person=2\|PronType=Prs`, `Case=Nom\|Clitic=Kin\|Number=Sing\|POS=PRON\|Person=1\|PronType=Prs`, `Case=Gen\|Clitic=Kin\|Number=Sing\|POS=NOUN`, `Case=Nom\|Degree=Pos\|Number=Plur\|POS=VERB\|PartForm=Past\|Typo=Yes\|VerbForm=Part\|Voice=Act`, `Case=Nom\|Clitic=Kin\|Number=Plur\|POS=PRON\|Person=3\|PronType=Prs`, `Case=Gen\|Derivation=U\|Number=Sing\|Number[psor]=Sing\|POS=NOUN\|Person[psor]=1`, `Case=Abl\|Degree=Pos\|Number=Sing\|POS=ADJ`, `Case=Ess\|Number=Sing\|POS=PRON\|PronType=Ind`, `Case=Ela\|Number=Plur\|POS=PRON\|Person=1\|PronType=Prs`, `Case=Ela\|Number=Sing\|Number[psor]=Plur\|POS=PRON\|Person[psor]=1\|Reflex=Yes`, `Case=Gen\|Derivation=Minen\|Number=Plur\|POS=NOUN`, `Case=Gen\|Degree=Pos\|Number=Plur\|POS=VERB\|PartForm=Past\|VerbForm=Part\|Voice=Act`, `Case=Par\|Degree=Pos\|Number=Plur\|POS=VERB\|PartForm=Pres\|VerbForm=Part\|Voice=Pass`, `Clitic=Ko\|Number=Sing\|POS=VERB\|Person=0\|Polarity=Neg\|VerbForm=Fin\|Voice=Act`, `Case=Ade\|InfForm=3\|Number=Sing\|POS=AUX\|VerbForm=Inf\|Voice=Act`, `Case=Gen\|Clitic=Han\|Number=Sing\|POS=NOUN`, `Case=Ill\|Number=Plur\|POS=PRON\|PronType=Dem`, `Case=Ess\|Degree=Pos\|Derivation=Inen\|Number=Plur\|POS=ADJ`, `Case=Ela\|Derivation=Vs\|Number=Sing\|POS=NOUN`, `Case=Nom\|Number=Sing\|POS=PRON\|Reflex=Yes`, `Case=Par\|Degree=Pos\|Number=Sing\|POS=VERB\|PartForm=Past\|VerbForm=Part\|Voice=Act`, `Clitic=Kaan\|Connegative=Yes\|Mood=Ind\|POS=AUX\|Tense=Pres\|VerbForm=Fin`, `Degree=Sup\|Derivation=Sti\|POS=ADV`, `Case=Ine\|Derivation=Llinen,Vs\|Number=Sing\|POS=NOUN`, `Case=Tra\|Degree=Pos\|Number=Plur\|POS=VERB\|PartForm=Past\|VerbForm=Part\|Voice=Pass`, `Case=Par\|Derivation=Inen,Vs\|Number=Plur\|POS=NOUN`, `Case=Abl\|Number=Plur\|POS=PRON\|PronType=Rcp`, `Case=All\|Number=Plur\|POS=PRON\|PronType=Rcp`, `Case=Ess\|Degree=Pos\|Derivation=Llinen\|Number=Sing\|POS=ADJ`, `Case=Par\|Number=Plur\|Number[psor]=Plur\|POS=PRON\|Person[psor]=1\|PronType=Rcp`, `Case=Par\|Number=Sing\|Number[psor]=Plur\|POS=PRON\|Person[psor]=1\|Reflex=Yes`, `Case=Ill\|Degree=Pos\|Derivation=Llinen\|Number=Sing\|POS=ADJ`, `Case=Ela\|Number=Sing\|POS=PRON\|Person[psor]=3\|Reflex=Yes`, `Case=All\|Degree=Cmp\|Number=Sing\|POS=ADJ`, `Case=Ins\|Degree=Pos\|Number=Plur\|POS=ADJ`, `Case=Tra\|Clitic=Kin\|Degree=Cmp\|Number=Sing\|POS=ADJ`, `Case=Ill\|Degree=Pos\|Number=Sing\|POS=VERB\|PartForm=Pres\|VerbForm=Part\|Voice=Act`, `Case=Ill\|Derivation=Minen\|Number=Sing\|POS=NOUN`, `Case=Nom\|Derivation=U\|Number=Plur\|POS=NOUN`, `Case=Ess\|Number=Plur\|POS=PRON\|PronType=Ind`, `Case=Tra\|Number=Sing\|POS=NOUN\|Person[psor]=3`, `Case=Ess\|Clitic=Kin\|Degree=Pos\|Number=Plur\|POS=ADJ`, `Case=Ade\|Number=Plur\|POS=PRON\|PronType=Rel`, `Case=Par\|Degree=Sup\|Number=Sing\|POS=ADJ`, `Case=Gen\|Number=Sing\|Number[psor]=Plur\|POS=NOUN\|Person[psor]=1\|Style=Coll`, `Case=Ess\|Clitic=Kin\|Number=Sing\|POS=PRON\|PronType=Dem`, `Mood=Ind\|Number=Sing\|POS=AUX\|Person=3\|Tense=Pres\|Typo=Yes\|VerbForm=Fin\|Voice=Act`, `Case=Tra\|Degree=Sup\|Number=Sing\|POS=ADJ`, `Clitic=Kin\|Mood=Ind\|Number=Plur\|POS=VERB\|Person=1\|Tense=Pres\|VerbForm=Fin\|Voice=Act`, `Case=Gen\|Number=Plur\|POS=NOUN\|Person[psor]=3`, `Case=Com\|Derivation=U\|POS=NOUN\|Person[psor]=3`, `Case=Par\|Degree=Pos\|Number=Sing\|Number[psor]=Sing\|POS=VERB\|PartForm=Agt\|Person[psor]=1\|VerbForm=Part\|Voice=Act`, `Mood=Ind\|Number=Sing\|POS=VERB\|Person=3\|Tense=Pres\|Typo=Yes\|VerbForm=Fin\|Voice=Act`, `Case=All\|Number=Sing\|POS=NOUN\|Person[psor]=3`, `Clitic=Kaan\|Connegative=Yes\|Mood=Cnd\|POS=VERB\|VerbForm=Fin\|Voice=Pass`, `Case=Ade\|Number=Sing\|Number[psor]=Plur\|POS=NOUN\|Person[psor]=1`, `Case=Abl\|Number=Sing\|POS=PRON\|PronType=Dem`, `Case=Abl\|Number=Sing\|Number[psor]=Plur\|POS=NOUN\|Person[psor]=1`, `Case=Nom\|Degree=Sup\|Number=Plur\|POS=ADJ`, `Case=Nom\|Derivation=Inen,Vs\|Number=Plur\|POS=NOUN`, `Case=Ill\|Number=Plur\|POS=PRON\|PronType=Ind`, `Case=Ine\|Number=Sing\|Number[psor]=Plur\|POS=NOUN\|Person[psor]=1`, `Case=Ess\|Degree=Pos\|Derivation=Lainen\|Number=Plur\|POS=ADJ`, `Case=Abe\|InfForm=3\|Number=Sing\|Number[psor]=Plur\|POS=VERB\|Person[psor]=1\|VerbForm=Inf\|Voice=Act`, `Clitic=Kaan\|Mood=Ind\|Number=Sing\|POS=VERB\|Person=3\|Tense=Pres\|VerbForm=Fin\|Voice=Act`, `Case=Abl\|Number=Sing\|POS=PRON\|Person[psor]=3\|Reflex=Yes`, `Clitic=Ko\|Mood=Ind\|Number=Sing\|POS=VERB\|Person=1\|Tense=Pres\|VerbForm=Fin\|Voice=Act`, `Case=Ill\|Number=Plur\|POS=PRON\|PronType=Rel\|Typo=Yes`, `Degree=Cmp\|Derivation=Sti\|POS=ADV`, `Case=Ade\|Number=Sing\|Number[psor]=Sing\|POS=PRON\|Person[psor]=1\|Reflex=Yes`, `Case=Nom\|Derivation=Ja,Tar\|Number=Sing\|POS=NOUN`, `Case=Par\|Degree=Sup\|Derivation=Ton\|Number=Sing\|POS=ADJ`, `Case=Ess\|Number=Sing\|POS=NOUN\|Person[psor]=3`, `Clitic=Kin\|InfForm=1\|Number=Sing\|POS=VERB\|VerbForm=Inf\|Voice=Act`, `Case=Tra\|Degree=Pos\|Number=Sing\|POS=VERB\|PartForm=Past\|VerbForm=Part\|Voice=Act`, `Case=Ill\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs`, `Case=Ela\|Number=Plur\|POS=NOUN\|Person[psor]=3`, `Case=Gen\|Degree=Pos\|Number=Sing\|POS=VERB\|PartForm=Pres\|Person[psor]=3\|VerbForm=Part\|Voice=Act`, `Case=Gen\|Number=Sing\|POS=PRON\|Person[psor]=3\|Reflex=Yes`, `Case=Ine\|Derivation=Minen\|Number=Sing\|POS=NOUN`, `Clitic=Ko\|Mood=Ind\|Number=Plur\|POS=VERB\|Person=3\|Tense=Pres\|VerbForm=Fin\|Voice=Act`, `Case=Gen\|Number=Plur\|POS=PRON\|Person[psor]=3\|PronType=Rcp`, `Case=Gen\|Number=Sing\|POS=PRON\|Person=2\|PronType=Prs`, `Case=Ill\|Number=Plur\|Number[psor]=Sing\|POS=NOUN\|Person[psor]=2`, `Case=Acc\|Number=Sing\|POS=PRON\|Person=1\|PronType=Prs`, `Case=Ade\|Number=Plur\|POS=PRON\|Person=3\|PronType=Prs`, `Clitic=Ko\|Mood=Ind\|Number=Plur\|POS=AUX\|Person=3\|Tense=Pres\|VerbForm=Fin\|Voice=Act`, `Case=Gen\|Clitic=Han\|Number=Sing\|POS=PRON\|PronType=Dem`, `Case=Ela\|Degree=Cmp\|Number=Sing\|POS=ADJ`, `Case=Abe\|Clitic=Kaan\|InfForm=3\|Number=Sing\|POS=VERB\|VerbForm=Inf\|Voice=Act`, `Case=Par\|Number=Sing\|Number[psor]=Sing\|POS=NOUN\|Person[psor]=1\|Style=Coll`, `Case=Par\|Clitic=Kaan\|Number=Sing\|POS=PRON\|PronType=Ind`, `Case=Nom\|Derivation=Lainen\|Number=Plur\|POS=NOUN`, `Case=Par\|Number=Plur\|Number[psor]=Plur\|POS=NOUN\|Person[psor]=1`, `Connegative=Yes\|Mood=Cnd\|POS=VERB\|VerbForm=Fin`, `Clitic=Ko\|Mood=Ind\|Number=Plur\|POS=VERB\|Person=1\|Tense=Pres\|VerbForm=Fin\|Voice=Act`, `Case=Abl\|Degree=Pos\|Derivation=Inen\|Number=Sing\|POS=ADJ`, `Case=Abl\|Degree=Pos\|Derivation=Llinen\|Number=Sing\|POS=ADJ`, `Case=Abl\|Degree=Pos\|Derivation=Ton\|Number=Sing\|POS=ADJ`, `Case=Abl\|Derivation=Ton\|Number=Sing\|POS=ADJ`, `Case=Gen\|Derivation=U\|Number=Sing\|Number[psor]=Plur\|POS=NOUN\|Person[psor]=1`, `Case=Ela\|Degree=Pos\|Derivation=Ton\|Number=Plur\|POS=ADJ`, `Case=Ela\|Degree=Sup\|Derivation=Llinen\|Number=Plur\|POS=ADJ`, `Case=Gen\|Degree=Pos\|Number=Sing\|POS=VERB\|PartForm=Pres\|Typo=Yes\|VerbForm=Part\|Voice=Act`, `Mood=Cnd\|Number=Plur\|POS=VERB\|Person=3\|VerbForm=Fin\|Voice=Act`, `Case=Nom\|Derivation=Inen,Vs\|Number=Sing\|POS=NOUN`, `Case=Gen\|Degree=Pos\|Number=Sing\|POS=AUX\|PartForm=Pres\|Person[psor]=3\|VerbForm=Part\|Voice=Act`, `Case=Nom\|Derivation=Ton\|Number=Sing\|POS=ADJ`, `Case=Ela\|Derivation=U\|Number=Plur\|POS=NOUN\|Person[psor]=3`, `Case=Abl\|Derivation=Vs\|Number=Sing\|POS=NOUN`, `Case=Ess\|Derivation=Minen\|Number=Sing\|POS=NOUN`, `Clitic=Ko\|Mood=Ind\|Number=Plur\|POS=AUX\|Person=1\|Tense=Pres\|VerbForm=Fin\|Voice=Act`, `Case=Tra\|Degree=Pos\|Number=Plur\|POS=ADJ`, `Case=Tra\|Degree=Pos\|Derivation=Inen\|Number=Plur\|POS=ADJ`, `Mood=Cnd\|Number=Plur\|POS=AUX\|Person=1\|VerbForm=Fin\|Voice=Act`, `Clitic=Kaan\|Connegative=Yes\|Mood=Cnd\|POS=VERB\|VerbForm=Fin`, `Case=Abl\|Number=Plur\|POS=PRON\|Person=1\|PronType=Prs`, `Case=Ill\|Number=Sing\|POS=PRON\|PronType=Ind`, `Case=Ill\|Clitic=Kin\|Number=Sing\|POS=PRON\|PronType=Ind`, `Case=Par\|Number=Plur\|POS=PRON\|PronType=Rel`, `Case=Gen\|Degree=Pos\|Derivation=Lainen\|Number=Plur\|POS=ADJ`, `Case=Gen\|Derivation=Ja\|Number=Plur\|POS=NOUN`, `Case=Ine\|Clitic=Han\|Number=Sing\|POS=NOUN`, `Mood=Pot\|Number=Sing\|POS=AUX\|Person=1\|VerbForm=Fin\|Voice=Act`, `Case=Ill\|InfForm=3\|Number=Sing\|POS=AUX\|VerbForm=Inf\|Voice=Act`, `Case=All\|Degree=Pos\|Number=Plur\|POS=VERB\|PartForm=Pres\|VerbForm=Part\|Voice=Act`, `Case=Ine\|Derivation=Vs\|Number=Sing\|POS=NOUN`, `Case=All\|Degree=Pos\|Number=Plur\|POS=VERB\|PartForm=Pres\|VerbForm=Part\|Voice=Pass`, `Clitic=Ko\|POS=CCONJ`, `Number=Sing\|POS=VERB\|Person=3\|Polarity=Neg\|VerbForm=Fin\|Voice=Act`, `Case=Tra\|Degree=Pos\|Number=Sing\|POS=VERB\|PartForm=Pres\|VerbForm=Part\|Voice=Pass`, `POS=NUM`, `Case=Par\|Clitic=Kin\|Number=Plur\|POS=NOUN`, `Case=Nom\|Degree=Pos\|Number=Plur\|POS=VERB\|PartForm=Pres\|VerbForm=Part\|Voice=Act`, `Degree=Cmp\|POS=ADV`, `Case=Ine\|Degree=Pos\|Derivation=Llinen\|Number=Sing\|POS=ADJ`, `Case=Ela\|Degree=Pos\|Number=Sing\|POS=VERB\|PartForm=Pres\|VerbForm=Part\|Voice=Act`, `Abbr=Yes\|Case=Ela\|Number=Sing\|POS=NOUN`, `Case=Par\|Degree=Pos\|Number=Sing\|POS=VERB\|PartForm=Pres\|VerbForm=Part\|Voice=Act`, `Case=All\|Degree=Pos\|Derivation=Inen\|Number=Sing\|POS=ADJ`, `Case=Ela\|Derivation=Ja\|Number=Sing\|POS=NOUN`, `Case=Par\|Clitic=Kin\|Number=Sing\|POS=PRON\|PronType=Ind`, `Case=Ill\|Number=Sing\|POS=NOUN\|Typo=Yes`, `Case=Ade\|Degree=Pos\|Number=Plur\|POS=VERB\|PartForm=Pres\|VerbForm=Part\|Voice=Pass`, `Abbr=Yes\|POS=NOUN`, `Case=Par\|Degree=Pos\|Number=Sing\|POS=VERB\|PartForm=Past\|Person[psor]=3\|VerbForm=Part\|Voice=Pass`, `Case=Nom\|Number=Sing\|POS=NOUN\|Typo=Yes`, `Case=Ela\|Derivation=Inen,Vs\|Number=Plur\|POS=NOUN`, `Case=Ine\|InfForm=2\|Number=Sing\|POS=AUX\|VerbForm=Inf\|Voice=Act`, `Case=Par\|NumType=Card\|Number=Sing\|POS=NUM`, `Case=Ade\|Derivation=Vs\|Number=Sing\|POS=NOUN`, `Case=Ade\|Degree=Pos\|Number=Plur\|POS=ADJ`, `Clitic=Han\|Number=Sing\|POS=AUX\|Person=3\|Polarity=Neg\|VerbForm=Fin\|Voice=Act`, `Case=Ill\|Number=Plur\|POS=PRON\|Person[psor]=3\|PronType=Rcp`, `Case=Ela\|Number=Sing\|POS=NOUN\|Typo=Yes`, `Case=Par\|Derivation=Inen\|NumType=Ord\|Number=Sing\|POS=ADJ`, `Case=Tra\|Number=Sing\|POS=NOUN\|Style=Coll`, `Case=Abl\|Derivation=Ja\|Number=Plur\|POS=NOUN`, `Case=Abe\|Number=Sing\|POS=NOUN`, `Case=Par\|Degree=Pos\|Derivation=Lainen\|Number=Plur\|POS=ADJ`, `Case=Ess\|Degree=Pos\|Number=Plur\|POS=VERB\|PartForm=Agt\|VerbForm=Part\|Voice=Act`, `Case=Ess\|Number=Sing\|Number[psor]=Sing\|POS=NOUN\|Person[psor]=1`, `Mood=Ind\|Number=Sing\|POS=VERB\|Person=0\|Tense=Pres\|Typo=Yes\|VerbForm=Fin\|Voice=Act`, `Clitic=Kin\|Mood=Ind\|Number=Sing\|POS=VERB\|Person=1\|Tense=Pres\|VerbForm=Fin\|Voice=Act`, `Case=Nom\|Derivation=Inen\|NumType=Ord\|Number=Plur\|POS=ADJ`, `Case=Ela\|Derivation=Inen\|NumType=Ord\|Number=Sing\|POS=ADJ`, `Case=Nom\|Number=Plur\|POS=VERB\|PartForm=Past\|VerbForm=Part\|Voice=Act`, `Case=All\|Number=Plur\|POS=VERB\|PartForm=Past\|VerbForm=Part\|Voice=Act`, `Case=Ela\|Derivation=Ja\|Number=Plur\|POS=NOUN`, `Case=All\|Number=Plur\|POS=NOUN\|Person[psor]=3`, `Case=Gen\|Degree=Pos\|Derivation=Ton\|Number=Sing\|POS=ADJ`, `Case=Abl\|Number=Sing\|Number[psor]=Sing\|POS=NOUN\|Person[psor]=1`, `Number=Sing\|POS=VERB\|Person=1\|Polarity=Neg\|VerbForm=Fin\|Voice=Act`, `Clitic=Kin\|Mood=Ind\|Number=Sing\|POS=AUX\|Person=0\|Tense=Pres\|VerbForm=Fin\|Voice=Act`, `Case=Ine\|Derivation=U\|Number=Sing\|POS=NOUN`, `Case=Ill\|Number=Sing\|POS=PRON\|PronType=Rel`, `Case=Ela\|Degree=Pos\|Number=Sing\|POS=VERB\|PartForm=Agt\|VerbForm=Part\|Voice=Act`, `Case=All\|Number=Sing\|POS=PROPN`, `Clitic=Ko\|Mood=Cnd\|Number=Sing\|POS=AUX\|Person=0\|VerbForm=Fin\|Voice=Act`, `Case=Gen\|Degree=Pos\|Number=Plur\|POS=VERB\|PartForm=Pres\|VerbForm=Part\|Voice=Pass`, `Case=Gen\|NumType=Card\|Number=Plur\|POS=NUM`, `Case=Ade\|Number=Plur\|POS=PRON\|PronType=Ind`, `Case=Gen\|Degree=Pos\|Number=Plur\|POS=VERB\|PartForm=Pres\|VerbForm=Part\|Voice=Act`, `Case=Nom\|Clitic=Kin\|Number=Sing\|POS=PRON\|PronType=Ind`, `Mood=Pot\|Number=Sing\|POS=VERB\|Person=3\|VerbForm=Fin\|Voice=Act`, `Abbr=Yes\|Case=Gen\|Number=Sing\|POS=NOUN`, `Case=Gen\|Clitic=Kin\|Number=Sing\|POS=PRON\|PronType=Dem`, `Clitic=Pa\|Mood=Ind\|Number=Sing\|POS=VERB\|Person=1\|Tense=Past\|VerbForm=Fin\|Voice=Act`, `Case=Par\|Degree=Pos\|Number=Plur\|Number[psor]=Sing\|POS=VERB\|PartForm=Agt\|Person[psor]=1\|VerbForm=Part\|Voice=Act`, `Case=Ela\|Degree=Pos\|Number=Sing\|POS=VERB\|PartForm=Past\|VerbForm=Part\|Voice=Pass`, `Case=Ine\|Derivation=Ja\|Number=Plur\|POS=NOUN`, `Case=Ade\|Degree=Pos\|Derivation=Llinen\|Number=Sing\|POS=ADJ`, `Abbr=Yes\|POS=INTJ`, `Case=Ade\|NumType=Card\|Number=Sing\|POS=NUM`, `Case=Ela\|Derivation=Llinen,Vs\|Number=Plur\|POS=NOUN`, `Case=Ade\|Number=Plur\|POS=PRON\|PronType=Dem`, `Clitic=Pa\|POS=ADV`, `Case=Nom\|Degree=Cmp\|Number=Plur\|POS=ADJ`, `Mood=Pot\|Number=Plur\|POS=VERB\|Person=3\|VerbForm=Fin\|Voice=Act`, `Case=Ill\|Number=Plur\|Number[psor]=Plur\|POS=NOUN\|Person[psor]=2`, `Case=Ela\|Degree=Pos\|Derivation=Llinen\|Number=Plur\|POS=ADJ`, `Case=Ess\|Degree=Pos\|Derivation=Lainen\|Number=Sing\|POS=ADJ`, `Mood=Cnd\|Number=Sing\|POS=AUX\|Person=0\|Style=Coll\|VerbForm=Fin\|Voice=Act`, `Abbr=Yes\|Case=Gen\|Number=Plur\|POS=NOUN`, `Case=Ill\|Number=Plur\|POS=PROPN`, `Case=Gen\|Derivation=U\|Number=Plur\|POS=NOUN`, `Case=All\|Degree=Pos\|Number=Sing\|POS=VERB\|PartForm=Pres\|VerbForm=Part\|Voice=Act`, `Clitic=Pa,S\|Mood=Ind\|Number=Plur\|POS=VERB\|Person=3\|Style=Coll\|Tense=Pres\|VerbForm=Fin\|Voice=Act`, `Case=Abl\|Degree=Pos\|Number=Plur\|POS=VERB\|PartForm=Past\|VerbForm=Part\|Voice=Act`, `Case=Gen\|Degree=Pos\|Number=Sing\|POS=VERB\|PartForm=Past\|VerbForm=Part\|Voice=Act`, `Mood=Ind\|Number=Plur\|POS=AUX\|Person=3\|Style=Coll\|Tense=Pres\|VerbForm=Fin\|Voice=Act`, `Clitic=Ko\|Connegative=Yes\|Mood=Cnd\|POS=VERB\|VerbForm=Fin\|Voice=Pass`, `Mood=Ind\|Number=Plur\|POS=VERB\|Person=1\|Style=Coll\|Tense=Past\|VerbForm=Fin\|Voice=Act`, `Case=Par\|Degree=Pos\|Number=Plur\|POS=VERB\|PartForm=Past\|VerbForm=Part\|Voice=Act`, `Mood=Ind\|Number=Plur\|POS=AUX\|Person=3\|Style=Coll\|Tense=Past\|VerbForm=Fin\|Voice=Act`, `Case=Par\|Degree=Pos\|Number=Plur\|POS=VERB\|PartForm=Past\|VerbForm=Part\|Voice=Pass`, `Case=Par\|NumType=Ord\|Number=Sing\|POS=ADJ`, `Case=Nom\|Clitic=Han\|Number=Sing\|POS=NOUN`, `Case=Ill\|POS=PRON\|PronType=Rel`, `Clitic=Kin\|Mood=Ind\|Number=Plur\|POS=VERB\|Person=1\|Style=Coll\|Tense=Past\|VerbForm=Fin\|Voice=Act`, `Abbr=Yes\|Case=All\|Number=Sing\|POS=NOUN`, `Case=Abl\|Degree=Pos\|Number=Plur\|POS=VERB\|PartForm=Pres\|VerbForm=Part\|Voice=Act`, `Clitic=Ko\|POS=SCONJ`, `Case=Ess\|Number=Sing\|POS=PRON\|PronType=Dem\|Style=Coll`, `Mood=Ind\|Number=Plur\|POS=AUX\|Person=1\|Style=Coll\|Tense=Past\|VerbForm=Fin\|Voice=Act`, `Case=Par\|Number=Sing\|POS=NOUN\|Style=Coll`, `Case=Gen\|Number=Sing\|POS=PRON\|PronType=Prs\|Style=Coll`, `Case=Acc\|Number=Sing\|POS=PRON\|PronType=Prs\|Style=Coll`, `Case=Nom\|Number=Plur\|POS=PRON\|Reflex=Yes`, `Mood=Cnd\|Number=Sing\|POS=AUX\|Person=3\|Style=Coll\|VerbForm=Fin\|Voice=Act`, `Case=Nom\|Number=Sing\|POS=PRON\|PronType=Dem\|Style=Coll`, `Case=Gen\|Degree=Cmp\|Derivation=Inen\|Number=Sing\|POS=ADJ`, `Clitic=Pa\|Mood=Ind\|Number=Sing\|POS=AUX\|Person=3\|Tense=Pres\|VerbForm=Fin\|Voice=Act`, `Number=Plur\|POS=AUX\|Person=3\|Polarity=Neg\|Style=Coll\|VerbForm=Fin\|Voice=Act`, `Case=Nom\|Degree=Pos\|Number=Plur\|POS=VERB\|PartForm=Past\|Style=Coll\|VerbForm=Part\|Voice=Act`, `Case=All\|Degree=Pos\|Derivation=Ton\|Number=Plur\|POS=ADJ`, `Case=Gen\|Degree=Sup\|Derivation=Inen\|Number=Sing\|POS=ADJ`, `Mood=Ind\|Number=Plur\|POS=VERB\|Person=3\|Style=Coll\|Tense=Pres\|VerbForm=Fin\|Voice=Act`, `Case=Par\|Degree=Pos\|Derivation=Inen\|Number=Plur\|POS=ADJ\|Style=Coll`, `Case=Ade\|Derivation=Lainen\|Number=Sing\|POS=NOUN`, `Clitic=Pa\|Mood=Ind\|Number=Sing\|POS=AUX\|Person=3\|Tense=Past\|VerbForm=Fin\|Voice=Act`, `Clitic=Ko\|Mood=Ind\|Number=Sing\|POS=VERB\|Person=1\|Tense=Past\|VerbForm=Fin\|Voice=Act`, `Case=Gen\|Degree=Pos\|Number=Sing\|POS=ADJ\|Style=Coll`, `Abbr=Yes\|Case=Par\|Number=Sing\|POS=NOUN\|Typo=Yes`, `Number=Plur\|POS=AUX\|Person=1\|Polarity=Neg\|Style=Coll\|VerbForm=Fin\|Voice=Act`, `Connegative=Yes\|Mood=Cnd\|POS=AUX\|Style=Coll\|VerbForm=Fin`, `Case=Nom\|Degree=Pos\|Number=Plur\|POS=AUX\|PartForm=Past\|Style=Coll\|VerbForm=Part\|Voice=Act`, `Case=All\|Number=Sing\|Number[psor]=Plur\|POS=NOUN\|Person[psor]=1\|Style=Coll`, `Case=Ill\|Degree=Pos\|Derivation=Lainen\|Number=Sing\|POS=ADJ`, `Case=Ill\|Degree=Pos\|Number=Plur\|POS=VERB\|PartForm=Past\|VerbForm=Part\|Voice=Act`, `Case=Nom\|NumType=Card\|Number=Sing\|POS=NUM\|Style=Coll`, `Case=Ill\|Clitic=Kaan\|Degree=Pos\|Derivation=Inen\|Number=Sing\|POS=ADJ`, `Number[psor]=Plur\|POS=ADV\|Person[psor]=1`, `Abbr=Yes\|Case=Ine\|Number=Sing\|POS=PROPN`, `Case=Ela\|Number=Sing\|Number[psor]=Plur\|POS=NOUN\|Person[psor]=1\|Style=Coll`, `Case=Ela\|Number=Sing\|POS=PRON\|PronType=Dem\|Style=Coll`, `Case=All\|Derivation=Lainen\|Number=Plur\|POS=NOUN`, `Case=Abl\|Degree=Pos\|Number=Plur\|POS=ADJ`, `Case=Par\|Degree=Cmp\|Derivation=Llinen\|Number=Sing\|POS=ADJ`, `Case=Par\|Derivation=Llinen\|Number=Plur\|POS=NOUN`, `Case=Par\|Number=Sing\|POS=PRON\|PronType=Rcp`, `Clitic=Kin\|Mood=Ind\|Number=Plur\|POS=VERB\|Person=3\|Tense=Past\|VerbForm=Fin\|Voice=Act`, `AdpType=Post\|Number[psor]=Plur\|POS=ADP\|Person[psor]=1\|Style=Coll`, `Mood=Ind\|Number=Plur\|POS=VERB\|Person=1\|Style=Coll\|Tense=Pres\|VerbForm=Fin\|Voice=Act`, `Case=Gen\|Derivation=Inen,Vs\|Number=Sing\|POS=NOUN\|Person[psor]=3`, `Case=Nom\|Number=Plur\|POS=PRON\|PronType=Dem\|Style=Coll`, `Case=All\|Degree=Pos\|Derivation=Lainen\|Number=Sing\|POS=ADJ`, `Case=Abl\|Degree=Cmp\|Number=Sing\|POS=ADJ`, `Case=Nom\|Clitic=Kaan\|Number=Sing\|POS=PRON\|Person=1\|PronType=Prs`, `Case=Par\|Number=Plur\|POS=PROPN`, `Case=Par\|Degree=Cmp\|Derivation=Inen\|Number=Plur\|POS=ADJ`, `Clitic=Kaan\|Connegative=Yes\|Mood=Ind\|POS=VERB\|Tense=Pres\|VerbForm=Fin`, `Case=Gen\|Number=Plur\|POS=NOUN\|Style=Coll`, `Clitic=Ka\|Number=Plur\|POS=AUX\|Person=3\|Polarity=Neg\|Style=Coll\|VerbForm=Fin\|Voice=Act`, `Case=Nom\|Number=Sing\|Number[psor]=Sing\|POS=NOUN\|Person[psor]=1\|Style=Coll`, `Case=Ill\|InfForm=3\|Number=Sing\|POS=VERB\|Style=Coll\|VerbForm=Inf\|Voice=Act`, `Case=Par\|Number=Sing\|POS=PRON\|PronType=Prs\|Style=Coll`, `Abbr=Yes\|Case=Nom\|Degree=Pos\|Number=Sing\|POS=ADJ`, `Abbr=Yes\|Case=Ela\|Number=Plur\|POS=NOUN\|Person[psor]=3`, `Case=Com\|Number=Plur\|POS=PROPN\|Person[psor]=3`, `Case=Ess\|Number=Sing\|POS=NOUN\|Typo=Yes`, `Case=Par\|Derivation=Lainen\|Number=Plur\|POS=NOUN`, `Case=Abl\|Number=Sing\|POS=PRON\|Reflex=Yes`, `Clitic=Kin\|Mood=Ind\|Number=Plur\|POS=VERB\|Person=3\|Tense=Pres\|VerbForm=Fin\|Voice=Act`, `Case=Abl\|Clitic=Kaan\|NumType=Card\|Number=Sing\|POS=NUM`, `InfForm=1\|Number=Sing\|POS=VERB\|Style=Coll\|VerbForm=Inf\|Voice=Act`, `Case=Ill\|Clitic=Kaan\|Number=Plur\|POS=NOUN`, `Abbr=Yes\|Case=Nom\|Number=Sing\|POS=PROPN`, `Case=Nom\|Number=Sing\|Number[psor]=Plur\|POS=NOUN\|Person[psor]=1\|Style=Coll`, `Case=Par\|Derivation=Ton\|Number=Sing\|POS=ADJ`, `Case=Nom\|Degree=Cmp\|Number=Sing\|POS=ADJ\|Style=Coll`, `POS=INTJ\|Style=Coll`, `Case=Ill\|Derivation=U\|Number=Plur\|POS=NOUN`, `Case=All\|Number=Sing\|POS=PRON\|PronType=Prs\|Style=Coll`, `Case=Par\|Derivation=U\|Number=Sing\|POS=NOUN\|Person[psor]=3`, `Mood=Ind\|POS=VERB\|Tense=Past\|Typo=Yes\|VerbForm=Fin\|Voice=Pass`, `Case=Par\|NumType=Ord\|Number=Sing\|POS=ADJ\|Style=Coll`, `Number=Plur\|POS=SCONJ\|Person=3\|Polarity=Neg\|VerbForm=Fin\|Voice=Act`, `Clitic=Kaan\|Connegative=Yes\|Mood=Ind\|POS=AUX\|Style=Coll\|Tense=Pres\|VerbForm=Fin`, `Case=Tra\|Degree=Cmp\|Number=Sing\|POS=ADJ`, `Case=Com\|Number=Plur\|POS=PRON\|PronType=Ind`, `Case=Ine\|Number=Sing\|POS=PRON\|PronType=Rcp`, `Case=Ess\|Degree=Pos\|Number=Plur\|POS=VERB\|PartForm=Past\|VerbForm=Part\|Voice=Act`, `Case=Tra\|Degree=Cmp\|Number=Plur\|POS=ADJ`, `Mood=Imp\|Number=Sing\|POS=VERB\|Person=2\|Polarity=Neg\|VerbForm=Fin\|Voice=Act`, `Case=Ess\|Derivation=Lainen\|Number=Sing\|POS=ADJ\|Person[psor]=3`, `Case=Abl\|Degree=Pos\|Derivation=Inen\|Number=Plur\|POS=ADJ`, `Case=Ill\|Derivation=U\|Number=Sing\|Number[psor]=Plur\|POS=NOUN\|Person[psor]=1`, `Case=Tra\|Number=Plur\|POS=NOUN`, `Case=Ine\|InfForm=2\|Number=Sing\|Number[psor]=Plur\|POS=AUX\|Person[psor]=1\|VerbForm=Inf\|Voice=Act`, `Case=Ill\|Degree=Pos\|Number=Sing\|POS=ADJ\|Typo=Yes`, `Case=Par\|Derivation=Lainen\|Number=Plur\|POS=ADJ`, `Case=Ade\|Degree=Pos\|Number=Sing\|POS=VERB\|PartForm=Pres\|VerbForm=Part\|Voice=Act`, `Case=Gen\|Number=Plur\|POS=NOUN\|Typo=Yes`, `Mood=Ind\|Number=Sing\|POS=AUX\|Person=0\|Style=Coll\|Tense=Past\|VerbForm=Fin\|Voice=Act`, `Case=Nom\|Clitic=Kin\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs\|Style=Coll`, `Case=Ade\|Degree=Pos\|Derivation=Lainen\|Number=Plur\|POS=ADJ`, `Mood=Imp\|Number=Sing\|POS=VERB\|Person=2\|Typo=Yes\|VerbForm=Fin\|Voice=Act`, `Case=Ade\|Number=Sing\|POS=NOUN\|Typo=Yes`, `Case=Ill\|Derivation=Inen\|NumType=Ord\|Number=Sing\|POS=ADJ`, `Case=Ill\|NumType=Ord\|Number=Sing\|POS=ADJ`, `AdpType=Post\|POS=ADP\|Typo=Yes`, `Case=Ill\|Number=Plur\|POS=NOUN\|Typo=Yes`, `Case=Par\|Clitic=Kin\|Number=Plur\|POS=PRON\|PronType=Ind`, `Case=Ine\|Number=Sing\|POS=NOUN\|Typo=Yes`, `Case=Ess\|Degree=Pos\|Number=Sing\|POS=VERB\|PartForm=Past\|Typo=Yes\|VerbForm=Part\|Voice=Pass`, `Case=Ine\|Degree=Pos\|Number=Plur\|POS=VERB\|PartForm=Past\|VerbForm=Part\|Voice=Pass`, `Case=Tra\|Degree=Pos\|Number=Plur\|POS=VERB\|PartForm=Pres\|VerbForm=Part\|Voice=Pass`, `Case=Ess\|NumType=Card\|Number=Sing\|POS=NUM`, `Case=Ine\|InfForm=2\|Number=Sing\|Number[psor]=Sing\|POS=VERB\|Person[psor]=2\|VerbForm=Inf\|Voice=Act`, `Case=Tra\|Degree=Cmp\|Number=Plur\|POS=ADJ\|Typo=Yes`, `Case=Ade\|Degree=Pos\|Number=Plur\|Number[psor]=Sing\|POS=VERB\|PartForm=Agt\|Person[psor]=2\|Typo=Yes\|VerbForm=Part\|Voice=Act`, `Case=Par\|Number=Sing\|POS=NOUN\|Typo=Yes`, `Case=Ine\|InfForm=3\|Number=Sing\|POS=VERB\|Typo=Yes\|VerbForm=Inf\|Voice=Act`, `Mood=Imp\|Number=Sing\|POS=AUX\|Person=2\|Polarity=Neg\|VerbForm=Fin\|Voice=Act`, `Case=Ess\|Degree=Pos\|Number=Plur\|POS=VERB\|PartForm=Past\|VerbForm=Part\|Voice=Pass`, `Case=Par\|Clitic=Kin\|Derivation=U\|Number=Plur\|POS=NOUN`, `Mood=Ind\|Number=Sing\|POS=VERB\|Person=3\|Tense=Past\|Typo=Yes\|VerbForm=Fin\|Voice=Act`, `Case=Ess\|Clitic=Kin\|Degree=Pos\|Number=Sing\|POS=ADJ`, `Case=Ine\|InfForm=2\|POS=VERB\|VerbForm=Inf\|Voice=Pass`, `Case=Ill\|Degree=Pos\|Derivation=Lainen\|Number=Plur\|POS=ADJ`, `Case=Tra\|InfForm=1\|Number=Sing\|Number[psor]=Sing\|POS=VERB\|Person[psor]=2\|VerbForm=Inf\|Voice=Act`, `Case=Ill\|Derivation=Minen\|Number=Sing\|POS=NOUN\|Style=Coll`, `Case=Tra\|InfForm=1\|Number=Sing\|Number[psor]=Sing\|POS=VERB\|Person[psor]=1\|VerbForm=Inf\|Voice=Act`, `Case=Ela\|Clitic=Kin\|Number=Plur\|POS=PRON\|PronType=Ind`, `Case=Gen\|Clitic=Kin\|Number=Plur\|POS=PRON\|PronType=Ind`, `Case=Ill\|InfForm=3\|Number=Sing\|POS=VERB\|Typo=Yes\|VerbForm=Inf\|Voice=Act`, `Clitic=Pa,S\|Mood=Ind\|Number=Sing\|POS=VERB\|Person=3\|Tense=Past\|VerbForm=Fin\|Voice=Act`, `Clitic=Pa,S\|Mood=Ind\|Number=Sing\|POS=AUX\|Person=3\|Tense=Pres\|VerbForm=Fin\|Voice=Act`, `Case=Ill\|Number=Sing\|POS=NOUN\|Style=Coll`, `Connegative=Yes\|Mood=Cnd\|POS=VERB\|Style=Coll\|VerbForm=Fin\|Voice=Pass`, `Case=Nom\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs\|Style=Coll`, `Clitic=Kin\|Mood=Cnd\|Number=Sing\|POS=VERB\|Person=3\|VerbForm=Fin\|Voice=Act`, `Case=Ill\|Number=Sing\|POS=PRON\|PronType=Rcp`, `Case=Ela\|Derivation=Inen,Vs\|Number=Sing\|POS=NOUN`, `Case=Gen\|Number=Plur\|POS=NOUN\|Person[psor]=3\|Style=Coll`, `Case=Abl\|Number=Plur\|POS=NOUN\|Person[psor]=3`, `Case=Ill\|Derivation=U\|Number=Sing\|Number[psor]=Sing\|POS=NOUN\|Person[psor]=1`, `Case=Ela\|Degree=Pos\|Number=Plur\|POS=VERB\|PartForm=Pres\|VerbForm=Part\|Voice=Act`, `Number=Sing\|POS=AUX\|Person=3\|Polarity=Neg\|Typo=Yes\|VerbForm=Fin\|Voice=Act`, `Case=Ill\|Number=Sing\|Number[psor]=Sing\|POS=NOUN\|Person[psor]=2`, `Case=Ela\|Number=Sing\|POS=NOUN\|Person[psor]=3`, `Case=Gen\|Number=Sing\|POS=PRON\|Person=2\|PronType=Prs\|Style=Coll`, `Case=Ela\|Number=Plur\|POS=PRON\|Person[psor]=3\|PronType=Rcp`, `Case=Ela\|Derivation=Inen,Vs\|Number=Sing\|POS=NOUN\|Person[psor]=3`, `Case=Ill\|Derivation=Vs\|Number=Sing\|POS=NOUN`, `Case=Ade\|Derivation=Ja\|Number=Plur\|POS=NOUN`, `Case=Nom\|Degree=Pos\|Number=Sing\|POS=ADJ\|Style=Coll`, `Connegative=Yes\|Mood=Pot\|POS=AUX\|VerbForm=Fin\|Voice=Act`, `Case=Nom\|Clitic=Ko\|Mood=Cnd\|Number=Sing\|POS=AUX\|Person=2\|PronType=Prs\|Style=Coll\|VerbForm=Fin\|Voice=Act`, `Clitic=Ko,S\|Number=Sing\|POS=AUX\|Person=3\|Polarity=Neg\|VerbForm=Fin\|Voice=Act`, `Case=Ess\|Degree=Pos\|Number=Sing\|POS=VERB\|PartForm=Pres\|VerbForm=Part\|Voice=Pass`, `Case=Abl\|Number=Sing\|POS=PRON\|PronType=Rcp`, `Case=Gen\|Degree=Pos\|Number=Sing\|POS=VERB\|PartForm=Agt\|VerbForm=Part\|Voice=Act`, `Clitic=Ko\|POS=ADV`, `Case=Par\|Clitic=Han\|Number=Sing\|POS=PRON\|PronType=Int`, `Case=Par\|Derivation=Inen,Vs\|Number=Sing\|POS=NOUN`, `Case=Abl\|Degree=Pos\|Number=Sing\|POS=VERB\|PartForm=Pres\|VerbForm=Part\|Voice=Act`, `Clitic=Ko\|Mood=Ind\|Number=Plur\|POS=VERB\|Person=1\|Style=Coll\|Tense=Pres\|VerbForm=Fin\|Voice=Act`, `Case=Gen\|Number=Sing\|POS=NUM`, `POS=NOUN\|Typo=Yes`, `Case=Ela\|Degree=Pos\|Number=Plur\|POS=VERB\|PartForm=Past\|VerbForm=Part\|Voice=Pass`, `Case=Ade\|Degree=Pos\|Number=Sing\|Number[psor]=Sing\|POS=VERB\|PartForm=Agt\|Person[psor]=2\|VerbForm=Part\|Voice=Act`, `Case=Ine\|NumType=Card\|Number=Sing\|POS=NUM`, `Case=Ine\|Derivation=Inen\|NumType=Ord\|Number=Sing\|POS=ADJ`, `Case=Gen\|Degree=Pos\|Number=Plur\|POS=VERB\|PartForm=Past\|VerbForm=Part\|Voice=Pass`, `Clitic=Kin\|POS=SCONJ`, `Case=Nom\|Clitic=Kin\|Degree=Sup\|Number=Sing\|POS=ADJ`, `Case=Ade\|Number=Plur\|Number[psor]=Sing\|POS=NOUN\|Person[psor]=1`, `Case=Par\|Derivation=Minen\|Number=Sing\|POS=NOUN\|Person[psor]=3`, `Mood=Ind\|Number=Sing\|POS=VERB\|Person=2\|Tense=Past\|VerbForm=Fin\|Voice=Act`, `Clitic=Ko\|Mood=Ind\|Number=Sing\|POS=AUX\|Person=3\|Tense=Past\|VerbForm=Fin\|Voice=Act`, `Case=Ine\|Degree=Pos\|Number=Plur\|POS=VERB\|PartForm=Neg\|VerbForm=Part\|Voice=Act`, `Clitic=Kaan\|Derivation=Sti\|POS=ADV`, `Case=Ill\|Number=Plur\|POS=NOUN\|Person[psor]=3`, `Case=Ess\|Derivation=Ja\|Number=Sing\|POS=NOUN`, `Case=Ade\|Clitic=Kin\|Number=Plur\|POS=NOUN`, `Case=Par\|Clitic=Kin\|Degree=Cmp\|Number=Sing\|POS=ADJ`, `Case=Gen\|Clitic=Kin\|Number=Plur\|POS=NOUN`, `Case=All\|Number=Sing\|POS=PRON\|PronType=Rel`, `Case=Ess\|Derivation=Lainen\|Number=Sing\|POS=ADJ`, `Case=Ess\|Number=Sing\|POS=PROPN`, `Case=Ine\|Number=Sing\|POS=PRON\|Person=1\|PronType=Prs`, `Case=Ine\|Degree=Pos\|Number=Sing\|POS=VERB\|PartForm=Agt\|VerbForm=Part\|Voice=Act`, `Number=Plur\|POS=AUX\|Person=2\|Polarity=Neg\|VerbForm=Fin\|Voice=Act`, `Case=Ins\|Number=Plur\|POS=PRON\|PronType=Ind`, `Case=Ade\|Degree=Pos\|Number=Sing\|POS=VERB\|PartForm=Past\|VerbForm=Part\|Voice=Pass`, `Case=Ill\|Number=Sing\|Number[psor]=Plur\|POS=NOUN\|Person[psor]=1`, `Case=Ill\|Clitic=Kin\|Number=Sing\|POS=NOUN`, `Number=Sing\|POS=CCONJ\|Person=3\|Polarity=Neg\|VerbForm=Fin\|Voice=Act`, `Case=Par\|Degree=Pos\|Derivation=Lainen\|Number=Plur\|POS=ADJ\|Typo=Yes`, `Case=Par\|Number=Sing\|POS=PRON\|Person=2\|PronType=Prs\|Style=Coll`, `Case=Gen\|Clitic=Kin\|Number=Sing\|POS=PRON\|Person=2\|PronType=Prs\|Style=Coll`, `Case=Nom\|Number=Sing\|Number[psor]=Sing\|POS=NOUN\|Person[psor]=2`, `Case=Par\|Number=Sing\|Number[psor]=Sing\|POS=NOUN\|Person[psor]=2`, `Case=Par\|Degree=Pos\|Number=Sing\|POS=VERB\|PartForm=Agt\|Person[psor]=3\|VerbForm=Part\|Voice=Act`, `Mood=Cnd\|Number=Sing\|POS=VERB\|Person=2\|VerbForm=Fin\|Voice=Act`, `Number=Plur\|POS=VERB\|Person=3\|Polarity=Neg\|VerbForm=Fin\|Voice=Act`, `Case=Par\|Degree=Pos\|Number=Sing\|Number[psor]=Sing\|POS=VERB\|PartForm=Past\|Person[psor]=1\|VerbForm=Part\|Voice=Pass`, `Case=Nom\|NumType=Ord\|Number=Sing\|POS=ADJ`, `Clitic=Ka\|Number=Sing\|POS=VERB\|Person=1\|Polarity=Neg\|VerbForm=Fin\|Voice=Act`, `Case=Ill\|Degree=Pos\|Number=Sing\|POS=VERB\|PartForm=Past\|VerbForm=Part\|Voice=Pass`, `Case=Nom\|Degree=Cmp\|Derivation=Inen\|Number=Sing\|POS=ADJ`, `Case=Gen\|NumType=Ord\|Number=Sing\|POS=ADJ\|Style=Coll`, `Case=Gen\|Number=Sing\|POS=PRON\|PronType=Int`, `Clitic=Ko\|Mood=Ind\|Number=Sing\|POS=AUX\|Person=0\|Tense=Pres\|VerbForm=Fin\|Voice=Act`, `Case=Nom\|Number=Plur\|Number[psor]=Plur\|POS=PRON\|Person[psor]=1\|Reflex=Yes`, `Case=Gen\|Number=Plur\|Number[psor]=Plur\|POS=PRON\|Person[psor]=1\|Reflex=Yes`, `Case=Par\|Derivation=Vs\|Number=Sing\|POS=NOUN\|Person[psor]=3`, `Case=Ine\|Number=Plur\|Number[psor]=Sing\|POS=NOUN\|Person[psor]=1`, `Case=Nom\|Degree=Pos\|Number=Sing\|Number[psor]=Sing\|POS=VERB\|PartForm=Agt\|Person[psor]=2\|VerbForm=Part\|Voice=Act`, `Case=Par\|Number=Plur\|POS=ADJ`, `Case=Ela\|Degree=Pos\|Number=Sing\|POS=VERB\|PartForm=Pres\|VerbForm=Part\|Voice=Pass`, `Case=Tra\|Derivation=Minen\|Number=Sing\|POS=NOUN`, `Case=Acc\|Number=Plur\|POS=PRON\|Person=3\|PronType=Prs`, `Clitic=Kin\|InfForm=1\|Number=Sing\|POS=AUX\|VerbForm=Inf\|Voice=Act`, `Case=Ine\|Degree=Pos\|Number=Sing\|POS=VERB\|PartForm=Pres\|VerbForm=Part\|Voice=Act`, `Clitic=Kin\|Mood=Cnd\|Number=Sing\|POS=AUX\|Person=0\|VerbForm=Fin\|Voice=Act`, `Case=Ade\|Degree=Cmp\|Number=Sing\|POS=ADJ`, `Case=Ade\|Degree=Pos\|Number=Plur\|POS=VERB\|PartForm=Agt\|VerbForm=Part\|Voice=Act`, `Case=Gen\|Derivation=Vs\|Number=Plur\|POS=NOUN`, `Mood=Imp\|Number=Plur\|POS=VERB\|Person=1\|VerbForm=Fin\|Voice=Act`, `Case=Ill\|Degree=Cmp\|Derivation=Inen\|Number=Plur\|POS=ADJ`, `Case=Gen\|Derivation=Lainen\|Number=Sing\|POS=ADJ`, `Case=Ill\|Degree=Sup\|Derivation=Llinen\|Number=Plur\|POS=ADJ`, `Case=Ine\|Degree=Pos\|Number=Plur\|POS=VERB\|PartForm=Pres\|VerbForm=Part\|Voice=Act`, `Case=Nom\|Degree=Pos\|Number=Plur\|POS=AUX\|PartForm=Past\|VerbForm=Part\|Voice=Pass`, `Clitic=Ko\|Mood=Ind\|POS=VERB\|Tense=Pres\|VerbForm=Fin\|Voice=Pass`, `Case=Gen\|NumType=Ord\|Number=Sing\|POS=ADJ`, `Case=Nom\|Clitic=Han\|Number=Plur\|POS=PRON\|Person=1\|PronType=Prs`, `Case=Ade\|Degree=Sup\|Number=Plur\|POS=ADJ`, `Clitic=Kin\|Mood=Ind\|Number=Sing\|POS=VERB\|Person=3\|Tense=Past\|VerbForm=Fin\|Voice=Act`, `Mood=Cnd\|POS=AUX\|VerbForm=Fin\|Voice=Pass`, `Case=Gen\|Degree=Pos\|Number=Sing\|Number[psor]=Plur\|POS=VERB\|PartForm=Agt\|Person[psor]=1\|VerbForm=Part\|Voice=Act`, `Case=Ine\|Degree=Pos\|Number=Plur\|Number[psor]=Plur\|POS=ADJ\|Person[psor]=1`, `Case=Par\|Degree=Sup\|Derivation=Inen\|Number=Plur\|POS=ADJ`, `Case=Ine\|Degree=Sup\|Number=Plur\|POS=ADJ`, `Case=Ine\|Degree=Pos\|Number=Plur\|POS=VERB\|PartForm=Pres\|VerbForm=Part\|Voice=Pass`, `Case=Nom\|Derivation=Lainen\|Number=Plur\|POS=ADJ`, `Case=Gen\|Derivation=Llinen,Vs\|Number=Plur\|POS=NOUN`, `Case=Par\|Degree=Pos\|Number=Sing\|Number[psor]=Plur\|POS=VERB\|PartForm=Past\|Person[psor]=1\|VerbForm=Part\|Voice=Pass`, `Case=Tra\|InfForm=1\|Number=Sing\|Number[psor]=Plur\|POS=VERB\|Person[psor]=1\|VerbForm=Inf\|Voice=Act`, `Case=Ine\|Degree=Pos\|Number=Plur\|Number[psor]=Plur\|POS=VERB\|PartForm=Pres\|Person[psor]=1\|VerbForm=Part\|Voice=Pass`, `Case=Ade\|Derivation=Llinen,Vs\|Number=Sing\|POS=NOUN`, `Case=Ela\|Number=Plur\|Number[psor]=Plur\|POS=NOUN\|Person[psor]=1`, `Case=Gen\|Degree=Pos\|Number=Sing\|Number[psor]=Plur\|POS=VERB\|PartForm=Pres\|Person[psor]=1\|VerbForm=Part\|Voice=Act`, `Case=All\|Derivation=Llinen,Vs\|Number=Sing\|POS=NOUN`, `Mood=Ind\|Number=Plur\|POS=AUX\|Person=1\|Tense=Past\|VerbForm=Fin\|Voice=Act`, `Case=All\|Degree=Pos\|Number=Sing\|POS=VERB\|PartForm=Agt\|VerbForm=Part\|Voice=Act`, `Case=Gen\|Number=Sing\|POS=PRON\|Person[psor]=3\|PronType=Ind`, `Case=Abl\|Number=Plur\|POS=PRON\|PronType=Ind`, `Clitic=Kaan\|Mood=Ind\|Number=Plur\|POS=AUX\|Person=3\|Tense=Pres\|VerbForm=Fin\|Voice=Act`, `Case=Tra\|Derivation=Llinen,Vs\|Number=Sing\|Number[psor]=Sing\|POS=NOUN\|Person[psor]=1`, `Case=Par\|Derivation=Minen\|Number=Sing\|Number[psor]=Sing\|POS=NOUN\|Person[psor]=1`, `Case=Ade\|Derivation=Minen\|Number=Sing\|POS=NOUN`, `Case=Nom\|Degree=Pos\|Number=Plur\|POS=VERB\|PartForm=Pres\|VerbForm=Part\|Voice=Pass`, `Case=Nom\|Derivation=U\|Number=Plur\|Number[psor]=Plur\|POS=NOUN\|Person[psor]=1`, `Case=Ela\|Degree=Sup\|Derivation=Lainen\|Number=Plur\|POS=ADJ`, `Case=Tra\|Derivation=Inen\|NumType=Ord\|Number=Sing\|POS=ADJ`, `Case=Tra\|NumType=Ord\|Number=Sing\|POS=ADJ`, `Case=Par\|Degree=Pos\|Derivation=Ton\|Number=Sing\|POS=VERB\|PartForm=Neg\|VerbForm=Part\|Voice=Act`, `Case=Ess\|Degree=Pos\|Number=Sing\|POS=VERB\|PartForm=Pres\|VerbForm=Part\|Voice=Act`, `Case=Gen\|Derivation=Lainen\|Number=Plur\|POS=ADJ`, `Case=Ade\|Number=Plur\|POS=PROPN`, `Case=Ess\|Number=Sing\|POS=PRON\|PronType=Rel`, `Connegative=Yes\|Mood=Ind\|POS=AUX\|Tense=Pres\|VerbForm=Fin\|Voice=Pass`, `Case=Ine\|Degree=Pos\|Number=Sing\|POS=VERB\|PartForm=Agt\|Person[psor]=3\|VerbForm=Part\|Voice=Act`, `Mood=Cnd\|POS=VERB\|VerbForm=Fin\|Voice=Pass`, `POS=NOUN`, `Case=All\|Number=Plur\|POS=PRON\|Person=3\|PronType=Prs`, `Case=Ela\|NumType=Card\|Number=Plur\|POS=NUM`, `Case=Ill\|Number=Plur\|POS=PRON\|Person=3\|PronType=Prs`, `Case=Abe\|Number=Plur\|POS=NOUN`, `Case=Ill\|Degree=Pos\|Derivation=Ton\|Number=Sing\|POS=ADJ`, `Clitic=Kin\|Derivation=Sti\|POS=ADV`, `Case=Ine\|Derivation=Inen,Vs\|Number=Sing\|POS=NOUN\|Person[psor]=3`, `Case=Ess\|Degree=Pos\|Number=Sing\|Number[psor]=Plur\|POS=VERB\|PartForm=Pres\|Person[psor]=1\|VerbForm=Part\|Voice=Pass`, `Case=Ess\|Degree=Pos\|Derivation=Ton\|Number=Sing\|POS=ADJ`, `Case=Ela\|Degree=Pos\|Derivation=Inen\|Number=Plur\|POS=ADJ`, `Case=Ade\|Number=Sing\|POS=PRON`, `Case=Ela\|Degree=Pos\|Number=Sing\|POS=VERB\|PartForm=Agt\|Person[psor]=3\|VerbForm=Part\|Voice=Act`, `Clitic=Ka\|Number=Plur\|POS=AUX\|Person=1\|Polarity=Neg\|VerbForm=Fin\|Voice=Act`, `Case=Nom\|Number=Sing\|Number[psor]=Plur\|POS=PRON\|Person[psor]=1\|PronType=Ind`, `Case=Gen\|NumType=Ord\|Number=Plur\|POS=ADJ`, `Case=Ill\|Degree=Pos\|Number=Plur\|POS=VERB\|PartForm=Pres\|VerbForm=Part\|Voice=Act`, `Case=Ill\|Derivation=Llinen,Vs\|Number=Sing\|POS=NOUN`, `Case=Ins\|Derivation=U\|Number=Plur\|POS=NOUN`, `Case=Ill\|Degree=Pos\|Number=Sing\|POS=VERB\|PartForm=Agt\|VerbForm=Part\|Voice=Act`, `Case=Ela\|Derivation=Inen,Vs\|Number=Sing\|Number[psor]=Plur\|POS=NOUN\|Person[psor]=2`, `Case=All\|Degree=Sup\|Number=Sing\|POS=ADJ`, `Case=Par\|NumType=Card\|Number=Plur\|POS=NUM`, `Case=Gen\|Derivation=Ton,Vs\|Number=Plur\|POS=NOUN`, `Case=Ela\|Derivation=Ton,Vs\|Number=Plur\|POS=NOUN`, `Case=Par\|Derivation=Ton,Vs\|Number=Plur\|POS=NOUN`, `Case=Ade\|Degree=Pos\|Derivation=Inen\|Number=Plur\|POS=ADJ`, `Mood=Imp\|POS=VERB\|VerbForm=Fin\|Voice=Pass`, `Case=Par\|Degree=Cmp\|Derivation=Inen\|Number=Sing\|POS=ADJ`, `Case=Ela\|Degree=Pos\|Number=Plur\|POS=VERB\|PartForm=Past\|VerbForm=Part\|Voice=Act`, `Case=Gen\|Degree=Pos\|Number=Sing\|POS=VERB\|PartForm=Agt\|Person[psor]=3\|VerbForm=Part\|Voice=Act`, `Case=Gen\|Degree=Pos\|Derivation=Llinen\|Number=Plur\|POS=ADJ`, `Case=Gen\|Degree=Pos\|Number=Plur\|Number[psor]=Plur\|POS=VERB\|PartForm=Agt\|Person[psor]=1\|VerbForm=Part\|Voice=Act`, `Case=Gen\|Degree=Pos\|Number=Plur\|Number[psor]=Plur\|POS=VERB\|PartForm=Agt\|Person[psor]=2\|VerbForm=Part\|Voice=Act`, `Clitic=Kin\|Mood=Ind\|POS=VERB\|Tense=Pres\|VerbForm=Fin\|Voice=Pass`, `Case=Ill\|Degree=Cmp\|Derivation=Ton\|Number=Plur\|POS=ADJ`, `Case=Gen\|Number=Plur\|Number[psor]=Plur\|POS=NOUN\|Person[psor]=1`, `Case=Ine\|NumType=Ord\|Number=Plur\|POS=ADJ`, `Number=Sing\|POS=ADV\|Person=3\|Polarity=Neg\|VerbForm=Fin\|Voice=Act`, `Case=Ins\|Degree=Pos\|Derivation=Llinen\|Number=Plur\|POS=ADJ`, `Mood=Ind\|POS=AUX\|Tense=Past\|VerbForm=Fin\|Voice=Pass`, `Case=Tra\|InfForm=1\|Number=Sing\|Number[psor]=Plur\|POS=AUX\|Person[psor]=1\|VerbForm=Inf\|Voice=Act`, `Case=Gen\|Clitic=Kin\|Derivation=Vs\|Number=Sing\|POS=NOUN`, `Case=Ess\|Degree=Pos\|Number=Plur\|POS=AUX\|PartForm=Pres\|Person[psor]=3\|VerbForm=Part\|Voice=Act`, `Case=Ine\|Degree=Pos\|Number=Sing\|POS=VERB\|PartForm=Past\|VerbForm=Part\|Voice=Pass`, `Case=Ine\|InfForm=2\|Number=Sing\|POS=VERB\|Typo=Yes\|VerbForm=Inf\|Voice=Act`, `Case=Abl\|Derivation=Inen\|NumType=Ord\|Number=Sing\|POS=ADJ`, `Case=Ela\|Derivation=Minen\|Number=Sing\|POS=NOUN\|Person[psor]=3`, `Case=Nom\|Degree=Pos\|Number=Plur\|POS=VERB\|PartForm=Pres\|Person[psor]=3\|VerbForm=Part\|Voice=Act`, `Case=Nom\|Degree=Pos\|Number=Sing\|POS=VERB\|PartForm=Past\|Person[psor]=3\|VerbForm=Part\|Voice=Act`, `Case=Ins\|Degree=Pos\|Derivation=Lainen\|Number=Plur\|POS=ADJ`, `Case=Ela\|Number=Plur\|POS=PRON\|Person=3\|PronType=Prs`, `Case=Gen\|Degree=Pos\|Number=Plur\|POS=VERB\|PartForm=Agt\|Person[psor]=3\|VerbForm=Part\|Voice=Act`, `Case=Gen\|Degree=Pos\|Number=Sing\|Number[psor]=Sing\|POS=VERB\|PartForm=Agt\|Person[psor]=1\|VerbForm=Part\|Voice=Act`, `Case=Ade\|Derivation=Ja\|Number=Plur\|POS=NOUN\|Person[psor]=3`, `Case=Ine\|Derivation=U\|Number=Plur\|POS=NOUN`, `Case=Par\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs`, `Case=Ill\|Derivation=Lainen\|Number=Sing\|POS=NOUN`, `Case=Ine\|Derivation=Minen\|Number=Plur\|POS=NOUN`, `Case=Ade\|Derivation=Ja\|Number=Sing\|POS=NOUN`, `Case=Par\|Number=Plur\|POS=PRON\|Person[psor]=3\|PronType=Rcp`, `Case=Ine\|Clitic=Kin\|Number=Sing\|POS=PRON\|PronType=Dem`, `Case=Tra\|Degree=Pos\|Number=Sing\|Number[psor]=Plur\|POS=VERB\|PartForm=Pres\|Person[psor]=2\|VerbForm=Part\|Voice=Pass`, `Mood=Cnd\|Number=Plur\|POS=VERB\|Person=2\|VerbForm=Fin\|Voice=Act`, `Number=Sing\|POS=PRON\|PronType=Ind`, `Case=Gen\|Derivation=Minen\|Number=Sing\|Number[psor]=Plur\|POS=NOUN\|Person[psor]=1`, `Case=Nom\|Degree=Pos\|Number=Sing\|POS=AUX\|PartForm=Pres\|VerbForm=Part\|Voice=Pass`, `Degree=Pos\|POS=ADJ`, `Case=Ela\|NumType=Ord\|Number=Plur\|POS=ADJ`, `Case=Ine\|Clitic=Kin\|Number=Sing\|POS=NOUN`, `Case=Ela\|Degree=Pos\|Number=Sing\|POS=VERB\|PartForm=Past\|VerbForm=Part\|Voice=Act`, `Case=Ine\|Degree=Pos\|Number=Sing\|POS=VERB\|PartForm=Pres\|VerbForm=Part\|Voice=Pass`, `Case=Nom\|Degree=Pos\|Number=Sing\|POS=AUX\|PartForm=Past\|VerbForm=Part\|Voice=Pass`, `Case=Ela\|Degree=Pos\|Derivation=Lainen\|Number=Sing\|POS=ADJ`, `Case=Nom\|Clitic=Kin\|Number=Sing\|POS=PROPN`, `Case=Ill\|Degree=Pos\|Number=Plur\|POS=VERB\|PartForm=Agt\|VerbForm=Part\|Voice=Act`, `Case=Ill\|Derivation=Ja\|Number=Plur\|POS=NOUN`, `Case=Ela\|Derivation=Lainen\|Number=Plur\|POS=NOUN`, `Case=All\|Clitic=Kin\|Number=Plur\|POS=PRON\|PronType=Ind`, `Case=Tra\|Degree=Pos\|Number=Sing\|POS=VERB\|PartForm=Past\|VerbForm=Part\|Voice=Pass`, `Case=Ess\|Degree=Sup\|Number=Sing\|POS=ADJ`, `Mood=Pot\|Number=Plur\|POS=VERB\|Person=2\|VerbForm=Fin\|Voice=Act`, `POS=ADV\|Person[psor]=3`, `Case=Par\|Clitic=Kin\|Degree=Pos\|Number=Sing\|POS=ADJ`, `Case=All\|Number=Sing\|Number[psor]=Plur\|POS=NOUN\|Person[psor]=1`, `Mood=Pot\|Number=Sing\|POS=VERB\|Person=1\|VerbForm=Fin\|Voice=Act`, `Case=Com\|Number[psor]=Plur\|POS=NOUN\|Person[psor]=1`, `Case=All\|Derivation=Ja\|Number=Plur\|Number[psor]=Plur\|POS=NOUN\|Person[psor]=1`, `Case=Nom\|Derivation=Vs\|Number=Sing\|Number[psor]=Plur\|POS=NOUN\|Person[psor]=1`, `Case=Ess\|Derivation=Vs\|Number=Plur\|POS=NOUN`, `Case=Ess\|Clitic=Kin\|Number=Sing\|POS=PRON\|PronType=Ind`, `Case=Nom\|Clitic=Han\|Degree=Pos\|Number=Sing\|POS=NOUN`, `Case=Ade\|Derivation=Inen\|NumType=Ord\|Number=Sing\|POS=ADJ`, `Clitic=Han\|Mood=Ind\|Number=Sing\|POS=VERB\|Person=3\|Tense=Pres\|VerbForm=Fin\|Voice=Act`, `Case=Nom\|Clitic=Kin\|Derivation=U\|Number=Sing\|POS=NOUN`, `Case=All\|Number=Plur\|Number[psor]=Plur\|POS=NOUN\|Person[psor]=1`, `Case=All\|Derivation=Ja\|Number=Sing\|Number[psor]=Plur\|POS=NOUN\|Person[psor]=1`, `Case=Nom\|Degree=Sup\|Derivation=Inen\|Number=Sing\|POS=ADJ`, `Case=Nom\|NumType=Ord\|Number=Plur\|POS=ADJ`, `Abbr=Yes\|Case=Ill\|Number=Sing\|POS=NOUN`, `Case=Nom\|Number=Plur\|POS=PRON\|PronType=Int`, `Case=Nom\|Clitic=Ko\|Number=Sing\|POS=PRON\|PronType=Ind`, `Case=Abl\|Degree=Pos\|Number=Plur\|POS=VERB\|PartForm=Agt\|VerbForm=Part\|Voice=Act`, `Clitic=Pa\|Mood=Ind\|Number=Plur\|POS=AUX\|Person=3\|Tense=Past\|VerbForm=Fin\|Voice=Act`, `Case=Gen\|Number=Plur\|POS=PRON\|PronType=Rcp`, `Case=Par\|Degree=Pos\|Derivation=Llinen\|Number=Sing\|POS=ADJ\|Typo=Yes`, `Abbr=Yes\|Case=Ela\|Number=Plur\|POS=NOUN`, `Case=All\|Degree=Pos\|Derivation=Llinen\|Number=Sing\|POS=ADJ`, `Case=Nom\|Degree=Pos\|Number=Plur\|POS=VERB\|PartForm=Agt\|VerbForm=Part\|Voice=Act`, `Case=Ine\|Clitic=Kaan\|Number=Sing\|POS=NUM\|PronType=Ind`, `Clitic=Ko\|Mood=Ind\|Number=Sing\|POS=AUX\|Person=1\|Tense=Past\|VerbForm=Fin\|Voice=Act`, `Case=Tra\|Degree=Pos\|Derivation=Lainen\|Number=Sing\|POS=ADJ`, `Case=Par\|Clitic=Kaan\|Degree=Pos\|Number=Sing\|POS=ADJ`, `Case=Ine\|Derivation=Vs\|Number=Plur\|POS=NOUN`, `Case=Ade\|Degree=Pos\|Number=Plur\|POS=VERB\|PartForm=Pres\|VerbForm=Part\|Voice=Act`, `Clitic=Ko\|Mood=Cnd\|Number=Plur\|POS=AUX\|Person=2\|VerbForm=Fin\|Voice=Act`, `Case=Tra\|Clitic=Kaan\|Number=Sing\|POS=NOUN`, `Case=Ine\|Degree=Cmp\|Number=Plur\|POS=ADJ`, `Number=Plur\|POS=VERB\|Person=1\|Polarity=Neg\|VerbForm=Fin\|Voice=Act`, `Case=Ill\|Degree=Sup\|Derivation=Ton\|Number=Plur\|POS=ADJ`, `Case=Ela\|Degree=Pos\|Number=Plur\|POS=VERB\|PartForm=Pres\|VerbForm=Part\|Voice=Pass`, `Case=Ill\|Degree=Sup\|Number=Plur\|POS=ADJ`, `Clitic=Ko\|Number=Plur\|POS=AUX\|Person=3\|Polarity=Neg\|VerbForm=Fin\|Voice=Act`, `Case=Ill\|Derivation=Lainen\|Number=Plur\|POS=ADJ`, `Case=Par\|Clitic=Kaan\|Number=Sing\|POS=NOUN`, `Case=Ine\|Degree=Cmp\|Number=Sing\|POS=ADJ`, `Case=Par\|Degree=Pos\|Number=Sing\|POS=VERB\|PartForm=Pres\|Typo=Yes\|VerbForm=Part\|Voice=Act`, `Case=Tra\|Degree=Pos\|Derivation=Llinen\|Number=Plur\|POS=ADJ`, `Case=Tra\|Degree=Pos\|Derivation=Ton\|Number=Plur\|POS=ADJ`, `Case=Ade\|Derivation=Lainen\|Number=Plur\|POS=NOUN`, `Case=Gen\|Number=Plur\|POS=PRON\|Person=2\|PronType=Prs`, `Case=Abl\|Number=Sing\|Number[psor]=Plur\|POS=NOUN\|Person[psor]=2\|Style=Coll`, `Case=Ill\|Clitic=Kin\|Number=Sing\|POS=PRON\|PronType=Dem`, `Case=Ade\|Degree=Pos\|Derivation=Lainen\|Number=Sing\|POS=ADJ`, `Case=Nom\|Derivation=Ton,Vs\|Number=Sing\|POS=NOUN`, `Case=Nom\|Clitic=Han\|Number=Plur\|POS=NOUN`, `Case=Ela\|Number=Plur\|POS=PROPN`, `Case=Gen\|Clitic=Kin\|Number=Sing\|POS=PROPN`, `Case=Par\|Derivation=Ja\|Number=Sing\|Number[psor]=Plur\|POS=NOUN\|Person[psor]=1`, `Case=Gen\|Derivation=Ton,Vs\|Number=Sing\|POS=NOUN`, `AdpType=Post\|Clitic=Kin\|POS=ADP`, `Case=Ade\|Number=Sing\|POS=PRON\|PronType=Rcp`, `Case=Nom\|Number=Plur\|POS=PRON`, `Case=Par\|Derivation=U\|Number=Plur\|POS=NOUN\|Person[psor]=3`, `Case=Ade\|Number=Plur\|POS=PRON\|Person=2\|PronType=Prs`, `Case=Abl\|Number=Plur\|POS=PRON\|PronType=Dem`, `Case=Ill\|Degree=Pos\|Number=Sing\|POS=AUX\|PartForm=Agt\|VerbForm=Part\|Voice=Act`, `Case=Nom\|Number=Plur\|POS=PROPN`, `Case=All\|Degree=Pos\|Derivation=Llinen\|Number=Plur\|POS=ADJ`, `Case=Nom\|Derivation=Lainen\|Number=Sing\|POS=NOUN`, `Case=Abe\|Clitic=Kaan\|Degree=Pos\|Number=Sing\|POS=VERB\|PartForm=Agt\|VerbForm=Part\|Voice=Act`, `Case=All\|Degree=Pos\|Derivation=Lainen\|Number=Plur\|POS=ADJ`, `Case=Nom\|Derivation=Llinen,Vs\|Number=Plur\|POS=NOUN`, `Case=All\|Derivation=Inen\|NumType=Ord\|Number=Sing\|POS=ADJ`, `Case=Ela\|Derivation=Vs\|Number=Sing\|POS=NOUN\|Person[psor]=3`, `Case=Ade\|Degree=Pos\|Number=Plur\|POS=VERB\|PartForm=Past\|VerbForm=Part\|Voice=Pass`, `Case=Par\|Clitic=Kin\|Degree=Pos\|Derivation=Inen\|Number=Plur\|POS=ADJ`, `Case=Gen\|Degree=Sup\|Number=Plur\|POS=ADJ`, `Case=Ill\|Degree=Pos\|Derivation=Llinen\|Number=Plur\|POS=ADJ`, `Case=All\|Degree=Pos\|Number=Plur\|POS=VERB\|PartForm=Past\|VerbForm=Part\|Voice=Pass`, `Case=Ine\|Degree=Pos\|Derivation=Llinen\|Number=Plur\|POS=ADJ`, `Case=Ade\|Degree=Pos\|Derivation=Ton\|Number=Sing\|POS=ADJ`, `Case=All\|Derivation=Lainen\|Number=Plur\|Number[psor]=Plur\|POS=NOUN\|Person[psor]=1`, `Case=Par\|Clitic=Kin\|Number=Sing\|POS=PRON\|PronType=Dem`, `Case=Gen\|Derivation=Lainen\|Number=Plur\|Number[psor]=Plur\|POS=NOUN\|Person[psor]=1`, `Case=Par\|Number=Plur\|Number[psor]=Plur\|POS=NOUN\|Person[psor]=2`, `Case=Abe\|Degree=Pos\|Number=Sing\|POS=VERB\|PartForm=Agt\|VerbForm=Part\|Voice=Act`, `Degree=Sup\|POS=ADV`, `Case=Tra\|Degree=Cmp\|Derivation=Ton\|Number=Sing\|POS=ADJ`, `Case=Ill\|Degree=Pos\|Number=Plur\|POS=VERB\|PartForm=Past\|VerbForm=Part\|Voice=Pass`, `Case=Ill\|Derivation=Lainen\|Number=Sing\|POS=ADJ`, `Case=Ela\|Degree=Pos\|Number=Plur\|Number[psor]=Plur\|POS=VERB\|PartForm=Agt\|Person[psor]=1\|VerbForm=Part\|Voice=Act`, `Case=Nom\|Degree=Pos\|Number=Sing\|Number[psor]=Sing\|POS=AUX\|PartForm=Pres\|Person[psor]=1\|VerbForm=Part\|Voice=Act`, `Case=Nom\|Number=Sing\|POS=NUM`, `Number=Plur\|POS=ADV\|Person=3\|Polarity=Neg\|VerbForm=Fin\|Voice=Act`, `Connegative=Yes\|Mood=Cnd\|POS=AUX\|Typo=Yes\|VerbForm=Fin`, `Number=Sing\|POS=ADV\|Person=1\|Polarity=Neg\|VerbForm=Fin\|Voice=Act`, `Case=Nom\|Number=Sing\|POS=PRON\|Person=1\|PronType=Prs\|Typo=Yes`, `Case=Ill\|Derivation=U\|Number=Sing\|POS=NOUN\|Person[psor]=3`, `Case=Ill\|Clitic=Kaan\|InfForm=3\|Number=Sing\|POS=VERB\|VerbForm=Inf\|Voice=Act`, `Mood=Ind\|Number=Sing\|POS=VERB\|Person=1\|Tense=Past\|Typo=Yes\|VerbForm=Fin\|Voice=Act`, `Clitic=Kin\|Mood=Cnd\|Number=Sing\|POS=AUX\|Person=3\|VerbForm=Fin\|Voice=Act`, `Case=Par\|Clitic=Kaan\|Degree=Cmp\|Number=Sing\|POS=ADJ`, `Case=Abl\|NumType=Card\|Number=Plur\|POS=NUM`, `Case=Nom\|Number=Sing\|POS=PRON\|PronType=Dem\|Typo=Yes`, `Clitic=Han\|Number=Sing\|POS=AUX\|Person=1\|Polarity=Neg\|VerbForm=Fin\|Voice=Act`, `Case=Gen\|Number=Sing\|Number[psor]=Sing\|POS=NOUN\|Person[psor]=2`, `Number[psor]=Sing\|POS=ADV\|Person[psor]=2`, `Case=Nom\|Number=Sing\|POS=PRON\|Person=2\|PronType=Prs`, `Case=Nom\|Clitic=Han\|Number=Sing\|POS=PRON\|Person=1\|PronType=Prs`, `Case=Par\|Number=Sing\|POS=PRON\|Person=2\|PronType=Prs`, `Case=Ade\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs`, `Case=Nom\|Number=Plur\|POS=PRON\|PronType=Ind\|Typo=Yes`, `Case=Nom\|Clitic=Kaan\|Degree=Pos\|Number=Sing\|POS=VERB\|PartForm=Past\|VerbForm=Part\|Voice=Act`, `Case=Par\|Clitic=Kaan\|Number=Plur\|POS=NOUN`, `Case=Gen\|Degree=Pos\|Number=Sing\|POS=AUX\|PartForm=Past\|VerbForm=Part\|Voice=Act`, `Case=Gen\|Clitic=Kin\|Number=Sing\|POS=PRON\|Person=1\|PronType=Prs`, `Case=Ine\|Number=Sing\|Number[psor]=Sing\|POS=NOUN\|Person[psor]=1\|Style=Coll`, `Case=Nom\|Clitic=Kin\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs`, `Case=Ine\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs`, `Case=Abl\|Derivation=U\|Number=Plur\|POS=NOUN`, `Case=Tra\|Derivation=Llinen,Vs\|Number=Sing\|POS=NOUN`, `Case=Ela\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs`, `Case=Ill\|Clitic=Kin\|Number=Plur\|POS=NOUN`, `Case=Ela\|Number=Sing\|Number[psor]=Sing\|POS=PRON\|Person[psor]=1\|Reflex=Yes`, `Case=Gen\|Number=Plur\|Number[psor]=Plur\|POS=PRON\|Person[psor]=1\|PronType=Rcp`, `Case=Ine\|InfForm=2\|Number=Sing\|Number[psor]=Plur\|POS=VERB\|Person[psor]=1\|VerbForm=Inf\|Voice=Act`, `Case=Ela\|Derivation=U\|Number=Sing\|Number[psor]=Sing\|POS=NOUN\|Person[psor]=2`, `Case=Gen\|Number=Plur\|Number[psor]=Sing\|POS=NOUN\|Person[psor]=2`, `Case=Ine\|Number=Sing\|Number[psor]=Sing\|POS=NOUN\|Person[psor]=2`, `Case=Gen\|Degree=Pos\|Number=Plur\|Number[psor]=Sing\|POS=ADJ\|Person[psor]=1`, `Case=Ine\|Number=Sing\|POS=PRON\|Person=2\|PronType=Prs`, `Clitic=Kaan\|Mood=Ind\|Number=Sing\|POS=VERB\|Person=0\|Tense=Past\|VerbForm=Fin\|Voice=Act`, `Clitic=Kin\|Mood=Ind\|Number=Sing\|POS=VERB\|Person=0\|Tense=Past\|VerbForm=Fin\|Voice=Act`, `Case=Nom\|Clitic=Kaan\|Number=Plur\|POS=PRON\|PronType=Ind`, `Clitic=Ko\|Mood=Ind\|Number=Sing\|POS=VERB\|Person=2\|Tense=Pres\|VerbForm=Fin\|Voice=Act`, `Case=Par\|Degree=Pos\|Number=Plur\|Number[psor]=Sing\|POS=ADJ\|Person[psor]=2`, `Case=All\|Number=Plur\|Number[psor]=Sing\|POS=NOUN\|Person[psor]=2`, `Clitic=Ko\|Mood=Ind\|Number=Sing\|POS=VERB\|Person=2\|Tense=Past\|VerbForm=Fin\|Voice=Act`, `AdpType=Post\|Number[psor]=Plur\|POS=ADP\|Person[psor]=2`, `Number=Sing\|POS=CCONJ\|Person=2\|Polarity=Neg\|VerbForm=Fin\|Voice=Act`, `POS=CCONJ\|Style=Coll`, `Case=Tra\|InfForm=1\|Number=Sing\|Number[psor]=Sing\|POS=VERB\|Person[psor]=1\|Typo=Yes\|VerbForm=Inf\|Voice=Act`, `Case=Nom\|Clitic=Kaan\|Number=Sing\|POS=PRON\|Person=2\|PronType=Prs`, `Mood=Imp\|Number=Sing\|POS=VERB\|Person=0\|VerbForm=Fin\|Voice=Act`, `Case=Ine\|Degree=Pos\|Number=Sing\|POS=ADJ\|Typo=Yes`, `Number=Sing\|POS=VERB\|Person=2\|Polarity=Neg\|VerbForm=Fin\|Voice=Act`, `Number=Sing\|POS=SCONJ\|Person=2\|Polarity=Neg\|VerbForm=Fin\|Voice=Act`, `Case=Gen\|Clitic=Kin\|Number=Plur\|POS=PRON\|PronType=Dem`, `Case=Tra\|Degree=Cmp\|Derivation=Inen\|Number=Sing\|POS=ADJ`, `Case=Abl\|Number=Sing\|POS=NOUN\|Typo=Yes`, `Case=Gen\|Clitic=Kaan\|Number=Sing\|POS=NOUN`, `Clitic=Kaan\|Mood=Cnd\|Number=Sing\|POS=AUX\|Person=3\|VerbForm=Fin\|Voice=Act`, `Case=Abl\|Degree=Cmp\|Derivation=Inen\|Number=Sing\|POS=ADJ`, `Case=Ade\|NumType=Ord\|Number=Sing\|POS=ADJ`, `Case=Ine\|Number=Sing\|POS=PRON`, `Case=Nom\|Degree=Pos\|Number=Sing\|POS=ADJ\|Typo=Yes`, `Case=Ade\|Number=Sing\|POS=PRON\|Person=2\|PronType=Prs`, `Case=All\|Number=Sing\|POS=PRON\|PronType=Int`, `Mood=Ind\|Number=Plur\|POS=VERB\|Person=0\|Tense=Pres\|VerbForm=Fin\|Voice=Act`, `Clitic=Kaan\|InfForm=1\|Number=Sing\|POS=VERB\|VerbForm=Inf\|Voice=Act`, `Case=All\|Derivation=Vs\|Number=Sing\|POS=NOUN`, `Case=Ade\|Derivation=U\|Number=Sing\|POS=NOUN\|Typo=Yes`, `Case=Ela\|Clitic=Kin\|Degree=Pos\|Derivation=Llinen\|Number=Sing\|POS=ADJ`, `Case=Nom\|Clitic=Kaan\|Degree=Pos\|Number=Sing\|POS=ADJ`, `Clitic=Ko\|Mood=Cnd\|Number=Sing\|POS=AUX\|Person=2\|VerbForm=Fin\|Voice=Act`, `Case=Nom\|Clitic=Kin\|Number=Sing\|POS=PRON\|Person=2\|PronType=Prs`, `Case=Par\|Clitic=Kin\|Derivation=U\|Number=Sing\|POS=NOUN`, `Case=Tra\|Number=Sing\|POS=PRON\|PronType=Ind`, `Case=Nom\|Number=Sing\|Number[psor]=Sing\|POS=NOUN\|Person[psor]=1\|Style=Arch`, `Case=Ill\|Number=Plur\|POS=PRON\|PronType=Rcp`, `Number=Plur\|POS=CCONJ\|Person=3\|Polarity=Neg\|VerbForm=Fin\|Voice=Act`, `Case=Par\|Number=Sing\|POS=PRON`, `Clitic=Han\|Mood=Ind\|Number=Plur\|POS=AUX\|Person=1\|Tense=Pres\|VerbForm=Fin\|Voice=Act`, `Clitic=Pa\|Mood=Ind\|Number=Sing\|POS=VERB\|Person=0\|Tense=Past\|VerbForm=Fin\|Voice=Act`, `Case=Nom\|Degree=Pos\|Derivation=Lainen\|Number=Sing\|POS=ADJ\|Style=Coll`, `Case=Par\|Degree=Pos\|Number=Sing\|POS=VERB\|PartForm=Past\|Style=Coll\|VerbForm=Part\|Voice=Pass`, `Clitic=Ko\|Mood=Cnd\|Number=Sing\|POS=AUX\|Person=3\|Style=Coll\|VerbForm=Fin\|Voice=Act`, `Case=Gen\|Number=Sing\|POS=PRON\|Person[psor]=3\|PronType=Rcp`, `Case=Ess\|Degree=Pos\|Number=Sing\|POS=VERB\|PartForm=Agt\|VerbForm=Part\|Voice=Act`, `Connegative=Yes\|Mood=Ind\|POS=AUX\|Style=Coll\|Tense=Pres\|VerbForm=Fin`, `Case=Nom\|Number=Plur\|POS=NOUN\|Typo=Yes`, `Clitic=Kaan\|Mood=Ind\|Number=Sing\|POS=AUX\|Person=1\|Tense=Pres\|VerbForm=Fin\|Voice=Act`, `Clitic=Pa\|Mood=Cnd\|Number=Sing\|POS=AUX\|Person=1\|VerbForm=Fin\|Voice=Act`, `Case=Tra\|Degree=Pos\|Derivation=Inen\|Number=Plur\|POS=ADJ\|Typo=Yes`, `Clitic=Pa\|Mood=Cnd\|Number=Sing\|POS=AUX\|Person=3\|VerbForm=Fin\|Voice=Act`, `Case=Par\|Derivation=Ja\|Number=Sing\|Number[psor]=Sing\|POS=NOUN\|Person[psor]=1`, `Mood=Cnd\|Number=Plur\|POS=VERB\|Person=3\|Style=Coll\|VerbForm=Fin\|Voice=Act`, `Mood=Cnd\|Number=Plur\|POS=AUX\|Person=1\|Style=Coll\|VerbForm=Fin\|Voice=Act`, `Clitic=Kin\|Mood=Ind\|Number=Plur\|POS=VERB\|Person=1\|Style=Coll\|Tense=Pres\|VerbForm=Fin\|Voice=Act`, `Case=Ade\|Number=Sing\|POS=NOUN\|Style=Coll`, `Case=Ess\|NumType=Ord\|Number=Sing\|POS=ADJ`, `Case=Nom\|Derivation=U\|Number=Sing\|Number[psor]=Plur\|POS=NOUN\|Person[psor]=1`, `Case=Ine\|InfForm=2\|Number=Sing\|POS=AUX\|Person[psor]=3\|VerbForm=Inf\|Voice=Act`, `Case=Nom\|Clitic=Han\|Number=Sing\|POS=PRON\|Person=2\|PronType=Prs`, `Case=Nom\|Degree=Pos\|Number=Sing\|Number[psor]=Sing\|POS=VERB\|PartForm=Agt\|Person[psor]=1\|VerbForm=Part\|Voice=Act`, `Case=Acc\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs`, `Case=Tra\|Number=Sing\|Number[psor]=Sing\|POS=NOUN\|Person[psor]=1`, `Case=Abl\|Degree=Sup\|Number=Sing\|POS=ADJ`, `Case=Abe\|InfForm=3\|Number=Sing\|POS=AUX\|VerbForm=Inf\|Voice=Act`, `Clitic=Ko\|InfForm=1\|Number=Sing\|POS=VERB\|VerbForm=Inf\|Voice=Act`, `Case=Nom\|Number=Sing\|Number[psor]=Sing\|POS=PRON\|Person[psor]=1\|Reflex=Yes`, `Case=Nom\|Degree=Sup\|Derivation=Llinen\|Number=Sing\|POS=ADJ`, `Case=Ade\|Number=Sing\|POS=PRON\|PronType=Prs\|Style=Coll`, `Case=Par\|Clitic=Kaan\|Degree=Cmp\|Number=Plur\|POS=ADJ`, `Case=Nom\|Derivation=Inen,Vs\|Number=Sing\|Number[psor]=Sing\|POS=NOUN\|Person[psor]=1`, `Case=Nom\|Number=Sing\|Number[psor]=Sing\|POS=PROPN\|Person[psor]=1`, `Case=Tra\|InfForm=1\|Number=Sing\|POS=AUX\|Person[psor]=3\|VerbForm=Inf\|Voice=Act`, `Clitic=Kin\|Mood=Ind\|Number=Sing\|POS=AUX\|Person=0\|Tense=Past\|VerbForm=Fin\|Voice=Act`, `Case=Par\|Number=Sing\|POS=PRON\|PronType=Int\|Style=Coll`, `Case=Par\|Number=Sing\|POS=NUM`, `Case=Ess\|NumType=Ord\|Number=Sing\|POS=ADJ\|Typo=Yes`, `Case=Gen\|Derivation=Minen\|Number=Sing\|Number[psor]=Sing\|POS=NOUN\|Person[psor]=1`, `Clitic=Kin\|Mood=Ind\|Number=Plur\|POS=AUX\|Person=3\|Tense=Pres\|VerbForm=Fin\|Voice=Act`, `Case=Par\|Degree=Pos\|Number=Sing\|Number[psor]=Sing\|POS=VERB\|PartForm=Past\|Person[psor]=1\|Style=Coll\|VerbForm=Part\|Voice=Pass`, `Case=Tra\|Degree=Pos\|Derivation=Ton\|Number=Sing\|POS=ADJ`, `Case=Ine\|Clitic=Kin\|Number=Sing\|POS=PRON\|Person=1\|PronType=Prs`, `Case=Acc\|Clitic=Kin\|Number=Sing\|POS=PRON\|Person=1\|PronType=Prs`, `Case=Ess\|Clitic=Kin\|NumType=Card\|Number=Sing\|POS=NUM`, `Mood=Cnd\|Number=Sing\|POS=AUX\|Person=1\|Typo=Yes\|VerbForm=Fin\|Voice=Act`, `Case=Par\|Degree=Pos\|Number=Plur\|POS=VERB\|PartForm=Agt\|VerbForm=Part\|Voice=Act`, `Clitic=Ka\|Number=Sing\|POS=VERB\|Person=0\|Polarity=Neg\|VerbForm=Fin\|Voice=Act`, `Case=Nom\|Number=Plur\|POS=PRON\|PronType=Ind\|Style=Coll`, `Mood=Cnd\|Number=Sing\|POS=VERB\|Person=3\|Style=Coll\|VerbForm=Fin\|Voice=Act`, `Case=Ade\|Degree=Sup\|Derivation=Inen\|Number=Plur\|POS=ADJ`, `Case=Ine\|Number=Plur\|POS=NOUN\|Typo=Yes`, `Case=Ine\|Clitic=Kaan\|Degree=Pos\|Derivation=Inen\|Number=Plur\|POS=ADJ`, `Case=Ine\|Number=Sing\|POS=NUM`, `Case=All\|Degree=Pos\|Derivation=Ton\|Number=Sing\|POS=ADJ`, `Case=Ade\|Degree=Sup\|Number=Sing\|POS=ADJ`, `Case=Ade\|Degree=Sup\|Derivation=Inen\|Number=Sing\|POS=ADJ`, `Case=Nom\|Clitic=Pa\|Number=Sing\|POS=PRON\|PronType=Int`, `Case=Ine\|Number=Sing\|POS=NOUN\|Person[psor]=3\|Typo=Yes`, `Case=Com\|Degree=Pos\|POS=ADJ`, `Case=Abl\|Number=Plur\|POS=PRON\|Person=3\|PronType=Prs`, `Clitic=Ko\|Mood=Cnd\|Number=Plur\|POS=VERB\|Person=3\|VerbForm=Fin\|Voice=Act`, `Case=Nom\|Clitic=Kin\|NumType=Card\|Number=Sing\|POS=NUM`, `Case=Ine\|Degree=Sup\|Number=Sing\|POS=ADJ`, `Case=Par\|Degree=Sup\|Derivation=Inen\|Number=Sing\|POS=ADJ`, `Case=Abl\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs`, `Mood=Pot\|Number=Plur\|POS=AUX\|Person=3\|VerbForm=Fin\|Voice=Act`, `Clitic=Han\|Mood=Ind\|Number=Sing\|POS=VERB\|Person=3\|Tense=Past\|VerbForm=Fin\|Voice=Act`, `Case=Ela\|Derivation=Ton\|Number=Plur\|POS=ADJ`, `Clitic=Ko\|Mood=Ind\|Number=Sing\|POS=AUX\|Person=2\|Tense=Pres\|VerbForm=Fin\|Voice=Act`, `Case=Par\|Derivation=Vs\|Number=Sing\|Number[psor]=Sing\|POS=NOUN\|Person[psor]=1`, `Clitic=Han\|Mood=Ind\|Number=Plur\|POS=AUX\|Person=3\|Style=Coll\|Tense=Past\|VerbForm=Fin\|Voice=Act`, `Number=Plur\|POS=VERB\|Person=0\|Polarity=Neg\|Style=Coll\|VerbForm=Fin\|Voice=Act`, `Case=Gen\|Degree=Pos\|Number=Sing\|Number[psor]=Sing\|POS=ADJ\|Person[psor]=1`, `Case=Ill\|Degree=Sup\|Number=Sing\|POS=ADJ`, `Mood=Pot\|Number=Sing\|POS=AUX\|Person=3\|VerbForm=Fin\|Voice=Act`, `InfForm=1\|Number=Sing\|POS=VERB\|Style=Arch\|VerbForm=Inf\|Voice=Act`, `Case=All\|Degree=Pos\|Derivation=Minen\|Number=Sing\|POS=ADJ`, `Case=Gen\|Number=Sing\|POS=PROPN\|Typo=Yes`, `Case=Nom\|Degree=Sup\|Derivation=Inen\|Number=Plur\|POS=ADJ`, `Mood=Imp\|Number=Plur\|POS=VERB\|Person=3\|VerbForm=Fin\|Voice=Act`, `Case=Ela\|Clitic=S\|Number=Sing\|POS=PRON\|PronType=Dem`, `Case=Gen\|Clitic=Kin\|Number=Sing\|POS=PRON\|Person=2\|PronType=Prs`, `Case=Ela\|Number=Sing\|POS=PRON\|PronType=Int\|Typo=Yes`, `Clitic=Han,Pa\|Mood=Ind\|Number=Plur\|POS=VERB\|Person=3\|Tense=Pres\|VerbForm=Fin\|Voice=Act`, `Case=Abe\|Derivation=Vs\|Number=Sing\|POS=NOUN`, `Case=Nom\|Clitic=Kin\|Number=Plur\|POS=PRON\|PronType=Ind`, `Case=Nom\|Derivation=Minen\|Number=Sing\|Number[psor]=Sing\|POS=NOUN\|Person[psor]=1`, `Case=Nom\|Clitic=Han\|Degree=Pos\|Number=Sing\|POS=ADJ`, `Case=Acc\|Number=Sing\|POS=PRON\|Person=2\|PronType=Prs`, `Case=All\|Number=Sing\|Number[psor]=Sing\|POS=NOUN\|Person[psor]=2`, `POS=INTJ\|Typo=Yes`, `Mood=Ind\|Number=Sing\|POS=VERB\|Person=1\|Style=Coll\|Tense=Pres\|VerbForm=Fin\|Voice=Act`, `Case=Par\|Number=Sing\|POS=PROPN\|Person[psor]=3`, `Case=Par\|Degree=Pos\|Number=Plur\|POS=AUX\|PartForm=Past\|VerbForm=Part\|Voice=Act`, `Case=Tra\|Derivation=Ja\|Number=Plur\|POS=NOUN`, `Case=Gen\|Derivation=U\|Number=Sing\|POS=NOUN\|Person[psor]=3`, `Case=Nom\|Number=Plur\|POS=PRON\|Person=2\|PronType=Prs`, `Mood=Imp\|Number=Plur\|POS=VERB\|Person=2\|Polarity=Neg\|VerbForm=Fin\|Voice=Act`, `Clitic=Han,Ko\|Mood=Ind\|Number=Plur\|POS=VERB\|Person=3\|Tense=Pres\|VerbForm=Fin\|Voice=Act`, `Case=Ine\|Clitic=Ko\|Number=Sing\|POS=PRON\|PronType=Dem`, `Case=Ela\|Derivation=Ton,Vs\|Number=Sing\|POS=NOUN`, `Clitic=Ko\|Mood=Ind\|Number=Plur\|POS=VERB\|Person=3\|Tense=Past\|VerbForm=Fin\|Voice=Act`, `Case=Nom\|Degree=Cmp\|Derivation=Ton\|Number=Sing\|POS=ADJ`, `Case=Nom\|Degree=Pos\|Derivation=Inen\|Number=Sing\|Number[psor]=Sing\|POS=ADJ\|Person[psor]=1`, `Mood=Imp\|Number=Plur\|POS=AUX\|Person=2\|Polarity=Neg\|VerbForm=Fin\|Voice=Act`, `Connegative=Yes\|Mood=Imp\|POS=VERB\|VerbForm=Fin`, `Clitic=Ko\|Mood=Ind\|Number=Sing\|POS=VERB\|Person=3\|Tense=Past\|VerbForm=Fin\|Voice=Act`, `POS=SCONJ\|Style=Coll`, `Clitic=Han\|Mood=Ind\|Number=Plur\|POS=AUX\|Person=3\|Tense=Past\|VerbForm=Fin\|Voice=Act`, `Case=Ins\|Degree=Pos\|Derivation=Inen\|Number=Plur\|POS=ADJ`, `Case=Nom\|Clitic=Kaan\|Number=Sing\|POS=PRON\|PronType=Ind`, `Case=Nom\|Derivation=Minen\|Number=Sing\|POS=NOUN\|Person[psor]=3`, `Mood=Imp\|Number=Sing\|POS=VERB\|Person=3\|VerbForm=Fin\|Voice=Act`, `Case=Nom\|Clitic=Kin\|Degree=Pos\|Number=Plur\|POS=ADJ`, `Case=Ess\|Degree=Pos\|Derivation=Ton\|Number=Plur\|POS=ADJ`, `AdpType=Post\|Number[psor]=Sing\|POS=ADP\|Person[psor]=1`, `Case=Nom\|Clitic=Kaan\|Number=Sing\|POS=NOUN\|Person[psor]=3`, `Clitic=Pa\|Number=Sing\|POS=AUX\|Person=3\|Polarity=Neg\|VerbForm=Fin\|Voice=Act`, `Case=Ess\|Degree=Pos\|Derivation=Llinen\|Number=Plur\|POS=ADJ`, `Case=Nom\|Clitic=Ko\|Number=Sing\|POS=PRON\|PronType=Int`, `Clitic=Pa\|Mood=Ind\|Number=Sing\|POS=VERB\|Person=3\|Tense=Pres\|VerbForm=Fin\|Voice=Act`, `Clitic=Ko\|Mood=Ind\|Number=Sing\|POS=VERB\|Person=2\|Style=Coll\|Tense=Pres\|VerbForm=Fin\|Voice=Act`, `Case=Nom\|Number=Sing\|POS=PRON\|PronType=Prs\|Style=Coll`, `Mood=Ind\|Number=Sing\|POS=AUX\|Person=1\|Style=Coll\|Tense=Pres\|VerbForm=Fin\|Voice=Act`, `Case=Nom\|Degree=Pos\|Number=Sing\|POS=VERB\|PartForm=Past\|Style=Coll\|VerbForm=Part\|Voice=Act`, `Mood=Ind\|Number=Sing\|POS=VERB\|Person=3\|Style=Coll\|Tense=Pres\|VerbForm=Fin\|Voice=Act`, `Number=Sing\|POS=VERB\|Person=2\|Polarity=Neg\|Style=Coll\|VerbForm=Fin\|Voice=Act`, `Clitic=Ko\|Mood=Ind\|Number=Sing\|POS=AUX\|Person=2\|Style=Coll\|Tense=Pres\|VerbForm=Fin\|Voice=Act`, `AdpType=Post\|Number[psor]=Sing\|POS=ADP\|Person[psor]=2\|Style=Coll`, `Case=Gen\|Number=Plur\|POS=PRON\|Person=1\|PronType=Prs\|Style=Coll`, `Connegative=Yes\|Mood=Ind\|POS=VERB\|Style=Coll\|Tense=Pres\|VerbForm=Fin`, `Clitic=Ko\|Mood=Ind\|Number=Plur\|POS=VERB\|Person=2\|Style=Coll\|Tense=Pres\|VerbForm=Fin\|Voice=Act`, `Clitic=Ko\|Mood=Ind\|Number=Plur\|POS=VERB\|Person=2\|Tense=Pres\|VerbForm=Fin\|Voice=Act`, `Mood=Imp\|Number=Sing\|POS=VERB\|Person=2\|Style=Coll\|VerbForm=Fin\|Voice=Act`, `Mood=Ind\|Number=Sing\|POS=VERB\|Person=1\|Style=Coll\|Tense=Past\|VerbForm=Fin\|Voice=Act`, `Case=Par\|Clitic=Kaan\|Degree=Sup\|Number=Sing\|POS=ADJ`, `Case=All\|NumType=Card\|Number=Sing\|POS=NUM`, `Case=Ine\|Degree=Pos\|Number=Sing\|POS=VERB\|PartForm=Past\|VerbForm=Part\|Voice=Act`, `Case=Ade\|Number=Sing\|POS=PRON\|PronType=Int`, `Case=All\|Number=Sing\|POS=PRON\|Reflex=Yes`, `Case=Tra\|Derivation=Lainen\|Number=Sing\|POS=NOUN`, `Clitic=Ko\|Mood=Cnd\|Number=Sing\|POS=VERB\|Person=1\|VerbForm=Fin\|Voice=Act`, `Clitic=Ko\|Mood=Cnd\|Number=Sing\|POS=AUX\|Person=1\|VerbForm=Fin\|Voice=Act`, `Case=Par\|Clitic=Kaan\|Number=Sing\|POS=PRON\|PronType=Dem`, `Case=Nom\|Clitic=S\|Number=Sing\|POS=PRON\|PronType=Int`, `Mood=Imp\|Number=Plur\|POS=VERB\|Person=0\|VerbForm=Fin\|Voice=Act`, `Clitic=Han,Pa\|Number=Sing\|POS=AUX\|Person=3\|Polarity=Neg\|VerbForm=Fin\|Voice=Act`, `Case=Par\|Clitic=Kaan\|Derivation=Ja\|Number=Plur\|POS=NOUN`, `Case=Ine\|Clitic=Kin\|Number=Sing\|POS=PRON\|PronType=Rcp`, `Case=Ade\|Degree=Pos\|Number=Sing\|Number[psor]=Sing\|POS=VERB\|PartForm=Agt\|Person[psor]=1\|VerbForm=Part\|Voice=Act`, `Case=Ade\|Number=Sing\|POS=PROPN\|Typo=Yes`, `Case=Acc\|Number=Sing\|POS=PRON\|PronType=Int`, `Case=Gen\|Degree=Pos\|Derivation=Inen\|Number=Sing\|Number[psor]=Sing\|POS=ADJ\|Person[psor]=1`, `Case=Nom\|Degree=Pos\|Number=Sing\|POS=AUX\|PartForm=Past\|Style=Coll\|VerbForm=Part\|Voice=Act`, `Mood=Cnd\|Number=Plur\|POS=AUX\|Person=3\|Style=Coll\|VerbForm=Fin\|Voice=Act`, `Mood=Cnd\|Number=Sing\|POS=AUX\|Person=1\|Style=Coll\|VerbForm=Fin\|Voice=Act`, `Mood=Ind\|Number=Sing\|POS=VERB\|Person=3\|Style=Coll\|Tense=Past\|VerbForm=Fin\|Voice=Act`, `Mood=Ind\|POS=VERB\|Style=Coll\|Tense=Past\|VerbForm=Fin\|Voice=Pass`, `Mood=Ind\|Number=Sing\|POS=VERB\|Person=0\|Style=Coll\|Tense=Past\|VerbForm=Fin\|Voice=Act`, `Case=Ade\|Degree=Pos\|Derivation=Inen\|Number=Sing\|POS=ADJ\|Style=Coll`, `Case=Par\|Number=Sing\|POS=PROPN\|Style=Coll`, `Clitic=Kin\|POS=ADV\|Style=Coll`, `Mood=Ind\|Number=Sing\|POS=AUX\|Person=3\|Style=Coll\|Tense=Past\|VerbForm=Fin\|Voice=Act`, `Derivation=Sti\|POS=ADV\|Style=Coll`, `Case=Abl\|Number=Sing\|Number[psor]=Plur\|POS=NOUN\|Person[psor]=1\|Style=Coll`, `Clitic=Ko\|Number=Sing\|POS=AUX\|Person=2\|Polarity=Neg\|VerbForm=Fin\|Voice=Act`, `Case=Par\|Degree=Pos\|Derivation=Inen\|Number=Sing\|POS=ADJ\|Style=Coll`, `Clitic=Kin\|Mood=Ind\|Number=Sing\|POS=VERB\|Person=3\|Style=Coll\|Tense=Past\|VerbForm=Fin\|Voice=Act`, `Case=Nom\|Number=Sing\|Number[psor]=Sing\|POS=NOUN\|Person[psor]=2\|Style=Coll`, `Case=Ill\|Number=Sing\|Number[psor]=Plur\|POS=NOUN\|Person[psor]=1\|Style=Coll`, `Case=Gen\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs\|Style=Coll`, `Case=Nom\|Number=Sing\|POS=NOUN\|Person[psor]=3\|Style=Coll`, `Case=Par\|Degree=Pos\|Number=Sing\|POS=ADJ\|Style=Coll`, `AdpType=Post\|Number[psor]=Sing\|POS=ADP\|Person[psor]=1\|Style=Coll`, `Case=Gen\|Number=Sing\|POS=NOUN\|Person[psor]=3\|Style=Coll`, `Case=All\|Clitic=Kin\|Number=Sing\|POS=PRON\|PronType=Prs\|Style=Coll`, `Case=Par\|Degree=Pos\|Number=Sing\|POS=ADJ\|Person[psor]=3`, `Case=Ess\|Degree=Pos\|Number=Plur\|Number[psor]=Sing\|POS=VERB\|PartForm=Pres\|Person[psor]=1\|Style=Coll\|VerbForm=Part\|Voice=Act`, `Case=Ins\|NumType=Card\|Number=Plur\|POS=NUM`, `Case=Par\|Degree=Pos\|Number=Sing\|POS=AUX\|PartForm=Past\|VerbForm=Part\|Voice=Act`, `Case=Tra\|Number=Sing\|POS=PROPN`, `Clitic=Pa\|Number=Sing\|POS=AUX\|Person=1\|Polarity=Neg\|VerbForm=Fin\|Voice=Act`, `Case=Ess\|Degree=Pos\|Number=Plur\|Number[psor]=Sing\|POS=AUX\|PartForm=Pres\|Person[psor]=1\|VerbForm=Part\|Voice=Act`, `Case=Tra\|Degree=Pos\|Number=Sing\|Number[psor]=Sing\|POS=VERB\|PartForm=Pres\|Person[psor]=1\|VerbForm=Part\|Voice=Pass`, `Case=All\|Clitic=Han\|Number=Sing\|POS=NOUN`, `Clitic=Han\|Number=Plur\|POS=AUX\|Person=3\|Polarity=Neg\|VerbForm=Fin\|Voice=Act`, `Case=Ela\|Derivation=U\|Number=Sing\|Number[psor]=Sing\|POS=NOUN\|Person[psor]=1`, `Case=Ill\|Degree=Pos\|Number=Sing\|POS=VERB\|PartForm=Agt\|Person[psor]=3\|VerbForm=Part\|Voice=Act`, `Case=Ela\|Clitic=Kin\|Number=Plur\|POS=PRON\|PronType=Dem`, `Clitic=Pa\|Mood=Ind\|Number=Plur\|POS=VERB\|Person=3\|Tense=Past\|VerbForm=Fin\|Voice=Act`, `Case=Par\|Clitic=Ko\|Number=Sing\|POS=PRON\|PronType=Ind`, `Case=Gen\|Number=Sing\|POS=PRON`, `Case=Gen\|Number=Plur\|POS=PRON\|Person[psor]=3\|Reflex=Yes`, `Case=Par\|Derivation=Ja\|Number=Plur\|POS=NOUN\|Person[psor]=3`, `Clitic=Kaan\|Mood=Cnd\|Number=Sing\|POS=VERB\|Person=3\|VerbForm=Fin\|Voice=Act`, `Case=Par\|Clitic=Kin\|Degree=Pos\|Number=Plur\|POS=ADJ`, `Clitic=Kaan\|Connegative=Yes\|Mood=Cnd\|POS=AUX\|VerbForm=Fin`, `Clitic=S\|POS=ADV`, `Case=Gen\|Clitic=Ko\|Degree=Pos\|Derivation=Inen\|Number=Sing\|POS=ADJ`, `Case=Nom\|Number=Plur\|Number[psor]=Sing\|POS=NOUN\|Person[psor]=2`, `Clitic=Han\|Mood=Ind\|Number=Sing\|POS=VERB\|Person=2\|Tense=Pres\|VerbForm=Fin\|Voice=Act`, `Case=All\|Clitic=Kaan\|Derivation=Ja\|Number=Plur\|POS=NOUN`, `Case=Par\|Clitic=Kin\|Degree=Pos\|Derivation=Inen\|Number=Sing\|POS=ADJ`, `Case=Ade\|Number=Plur\|Number[psor]=Sing\|POS=NOUN\|Person[psor]=2`, `Mood=Cnd\|Number=Plur\|POS=VERB\|Person=1\|Style=Coll\|VerbForm=Fin\|Voice=Act`, `Case=Ade\|Clitic=Kin\|Number=Sing\|POS=PROPN`, `Case=Ins\|InfForm=2\|Number=Sing\|POS=AUX\|VerbForm=Inf\|Voice=Act`, `Case=Ine\|Clitic=Kaan\|InfForm=3\|Number=Sing\|POS=VERB\|VerbForm=Inf\|Voice=Act`, `Number=Plur\|POS=ADV\|Person=2\|Polarity=Neg\|VerbForm=Fin\|Voice=Act`, `Case=Par\|Number=Plur\|POS=PRON\|PronType=Int`, `Case=Ade\|Clitic=S\|Number=Sing\|POS=PRON\|PronType=Int`, `Case=Ade\|Number=Sing\|Number[psor]=Plur\|POS=NOUN\|Person[psor]=1\|Style=Coll`, `Case=Ess\|Number=Plur\|POS=PRON\|PronType=Dem`, `Case=Par\|Derivation=Ton\|Number=Plur\|POS=ADJ`, `Clitic=Han,Ko\|POS=ADV`, `Case=Ade\|Number=Sing\|Number[psor]=Sing\|POS=NOUN\|Person[psor]=2`, `Mood=Ind\|Number=Sing\|POS=AUX\|Person=2\|Tense=Past\|VerbForm=Fin\|Voice=Act`, `AdpType=Post\|Number[psor]=Sing\|POS=ADP\|Person[psor]=2`, `Case=Gen\|Degree=Pos\|Number=Sing\|Number[psor]=Sing\|POS=AUX\|PartForm=Pres\|Person[psor]=1\|VerbForm=Part\|Voice=Act`, `Case=Nom\|Derivation=Ton\|Number=Plur\|POS=ADJ`, `Case=Acc\|Number=Plur\|POS=PRON\|Person=2\|PronType=Prs`, `Case=Ela\|Number=Plur\|POS=PRON\|Person=2\|PronType=Prs`, `Case=Ela\|Number=Sing\|POS=PRON\|Person=2\|PronType=Prs`, `Clitic=Kin\|Mood=Ind\|Number=Sing\|POS=VERB\|Person=2\|Tense=Pres\|VerbForm=Fin\|Voice=Act`, `Case=Gen\|Degree=Pos\|Number=Sing\|Number[psor]=Sing\|POS=AUX\|PartForm=Pres\|Person[psor]=2\|VerbForm=Part\|Voice=Act`, `Clitic=Ka\|Number=Sing\|POS=AUX\|Person=2\|Polarity=Neg\|VerbForm=Fin\|Voice=Act`, `Case=Par\|Derivation=Minen\|Number=Sing\|POS=NOUN\|Person[psor]=3\|Style=Coll`, `Case=Nom\|Clitic=Kin\|Number=Sing\|Number[psor]=Sing\|POS=NOUN\|Person[psor]=2`, `Clitic=Ko\|Derivation=Sti\|POS=ADV`, `Mood=Cnd\|Number=Sing\|POS=AUX\|Person=2\|VerbForm=Fin\|Voice=Act`, `Case=Nom\|Clitic=Kin\|Number=Plur\|POS=PRON\|PronType=Dem`, `Case=Ela\|Number=Sing\|Number[psor]=Sing\|POS=PROPN\|Person[psor]=2`, `Case=Nom\|NumType=Card\|Number=Plur\|POS=NUM`, `Case=Ela\|Number=Sing\|Number[psor]=Sing\|POS=NOUN\|Person[psor]=2`, `Case=Ess\|Number=Plur\|POS=PRON\|PronType=Rel`, `Case=Ela\|Number=Plur\|POS=NOUN\|Typo=Yes`, `Case=Ela\|Number=Sing\|Number[psor]=Sing\|POS=PRON\|Person[psor]=2\|Reflex=Yes`, `Case=Acc\|Clitic=Kin\|Number=Sing\|POS=PRON\|Person=2\|PronType=Prs`, `Case=Ess\|Derivation=Ja\|Number=Plur\|POS=NOUN`, `Case=Ill\|Derivation=Ton,Vs\|Number=Sing\|POS=NOUN`, `Case=Par\|Clitic=Kin\|Degree=Cmp\|Number=Plur\|POS=ADJ`, `Case=Gen\|Degree=Pos\|Number=Sing\|Number[psor]=Sing\|POS=VERB\|PartForm=Pres\|Person[psor]=2\|VerbForm=Part\|Voice=Act`, `Case=Nom\|Clitic=Kin\|Number=Plur\|Number[psor]=Sing\|POS=NOUN\|Person[psor]=1`, `Case=Nom\|Clitic=Kaan\|Degree=Pos\|Number=Sing\|POS=VERB\|PartForm=Past\|VerbForm=Part\|Voice=Pass`, `Case=Ela\|Clitic=Kin\|Number=Plur\|POS=NOUN`, `Case=Ade\|Number=Sing\|Number[psor]=Sing\|POS=PROPN\|Person[psor]=1`, `Case=Ade\|Degree=Pos\|Number=Sing\|POS=VERB\|PartForm=Agt\|VerbForm=Part\|Voice=Act`, `Clitic=Ko,S\|POS=ADV\|Style=Coll`, `Case=Ela\|Number=Sing\|POS=PRON\|PronType=Int\|Style=Coll`, `Mood=Ind\|Number=Sing\|POS=VERB\|Person=2\|Style=Coll\|Tense=Pres\|VerbForm=Fin\|Voice=Act`, `Case=Ine\|Number=Sing\|POS=NOUN\|Style=Coll`, `Clitic=Ko\|POS=ADV\|Style=Coll`, `Case=Nom\|Derivation=U\|Number=Sing\|POS=NOUN\|Typo=Yes`, `Case=Gen\|Number=Sing\|POS=PRON\|PronType=Dem\|Style=Coll`, `Connegative=Yes\|Mood=Cnd\|POS=VERB\|Style=Coll\|VerbForm=Fin`, `Case=Par\|Number=Sing\|POS=PRON\|PronType=Ind\|Style=Coll`, `Case=Abl\|Number=Sing\|POS=NOUN\|Style=Coll`, `Case=Par\|Number=Sing\|Number[psor]=Sing\|POS=NOUN\|Person[psor]=2\|Style=Coll`, `Clitic=Kin\|Mood=Ind\|Number=Sing\|POS=AUX\|Person=3\|Style=Coll\|Tense=Pres\|VerbForm=Fin\|Voice=Act`, `Clitic=Kin\|Mood=Ind\|Number=Sing\|POS=VERB\|Person=3\|Style=Coll\|Tense=Pres\|VerbForm=Fin\|Voice=Act`, `Case=Ade\|Number=Plur\|POS=PRON\|PronType=Dem\|Style=Coll`, `Case=Ine\|Degree=Pos\|Number=Sing\|POS=ADJ\|Style=Coll`, `Case=Ade\|Clitic=Kin\|Number=Plur\|POS=PRON\|PronType=Dem\|Style=Coll`, `Case=Ill\|Number=Sing\|POS=PRON\|PronType=Dem\|Style=Coll`, `Case=Ine\|Number=Sing\|POS=PRON\|PronType=Dem\|Style=Coll`, `Case=Nom\|Clitic=Kaan\|Number=Sing\|POS=PRON\|Person=2\|PronType=Prs\|Style=Coll`, `Case=Par\|Degree=Cmp\|Number=Sing\|POS=ADJ\|Style=Coll`, `Case=Gen\|Number=Sing\|POS=PRON\|PronType=Ind\|Typo=Yes`, `Mood=Ind\|Number=Sing\|POS=AUX\|Person=0\|Style=Coll\|Tense=Pres\|VerbForm=Fin\|Voice=Act`, `Number=Sing\|POS=VERB\|Person=1\|Polarity=Neg\|Style=Coll\|VerbForm=Fin\|Voice=Act`, `Case=Ade\|Number=Sing\|POS=PRON\|Person=1\|PronType=Prs\|Style=Coll`, `Case=Nom\|Clitic=Kin\|Degree=Pos\|Derivation=Inen\|Number=Plur\|POS=ADJ`, `Case=Ade\|Clitic=Kin\|Number=Sing\|POS=PRON\|PronType=Ind`, `Case=Abl\|NumType=Card\|Number=Sing\|POS=NUM`, `Clitic=Kin\|Mood=Ind\|Number=Sing\|POS=VERB\|Person=0\|Tense=Pres\|VerbForm=Fin\|Voice=Act`, `Case=Par\|Number=Plur\|POS=NOUN\|Typo=Yes`, `Case=Ill\|Clitic=Kaan\|Number=Sing\|POS=NOUN`, `Case=Par\|Number=Sing\|POS=VERB\|PartForm=Pres\|VerbForm=Part\|Voice=Act`, `Case=Ade\|Number=Plur\|POS=PRON\|PronType=Rcp\|Typo=Yes`, `Case=Ade\|Number=Plur\|POS=PRON\|PronType=Rcp`, `Mood=Imp\|Number=Plur\|POS=AUX\|Person=2\|VerbForm=Fin\|Voice=Act`, `Case=Nom\|Number=Plur\|Number[psor]=Plur\|POS=NOUN\|Person[psor]=2`, `Case=Par\|Derivation=U\|Number=Sing\|Number[psor]=Plur\|POS=NOUN\|Person[psor]=2`, `POS=ADV\|Person[psor]=3\|Typo=Yes`, `Clitic=Pa\|Mood=Ind\|POS=VERB\|Tense=Pres\|VerbForm=Fin\|Voice=Pass`, `Case=Par\|Clitic=Kaan\|NumType=Card\|Number=Sing\|POS=NUM`, `Clitic=Pa,S\|Mood=Imp\|Number=Sing\|POS=VERB\|Person=2\|Style=Coll\|VerbForm=Fin\|Voice=Act`, `Mood=Ind\|Number=Sing\|POS=AUX\|Person=2\|Style=Coll\|Tense=Pres\|VerbForm=Fin\|Voice=Act`, `Case=Ine\|Number=Plur\|POS=PRON\|PronType=Dem\|Style=Coll`, `Mood=Ind\|Number=Sing\|POS=AUX\|Person=1\|Style=Coll\|Tense=Past\|VerbForm=Fin\|Voice=Act`, `Clitic=Han\|Mood=Imp\|Number=Sing\|POS=VERB\|Person=2\|VerbForm=Fin\|Voice=Act`, `Case=Par\|Clitic=Han\|Number=Sing\|POS=PRON\|PronType=Dem`, `Mood=Ind\|POS=VERB\|Style=Coll\|Tense=Pres\|VerbForm=Fin\|Voice=Pass`, `Clitic=Han,Ko\|Mood=Cnd\|Number=Sing\|POS=VERB\|Person=3\|VerbForm=Fin\|Voice=Act`, `Connegative=Yes\|Mood=Pot\|POS=VERB\|VerbForm=Fin`, `Case=Nom\|Degree=Pos\|Derivation=Inen\|Number=Sing\|POS=ADJ\|Style=Coll`, `Mood=Ind\|Number=Sing\|POS=VERB\|Person=2\|Style=Coll\|Tense=Past\|VerbForm=Fin\|Voice=Act`, `Case=Nom\|Number=Sing\|POS=PRON\|Person[psor]=3\|PronType=Rcp`, `Number[psor]=Plur\|POS=ADV\|Person[psor]=2`, `Mood=Pot\|Number=Sing\|POS=VERB\|Person=2\|VerbForm=Fin\|Voice=Act`, `Case=Par\|Number=Plur\|Number[psor]=Sing\|POS=NOUN\|Person[psor]=2`, `Case=Abl\|Derivation=U\|Number=Sing\|POS=NOUN\|Person[psor]=3`, `Case=Ess\|Degree=Pos\|Number=Sing\|POS=ADJ\|Person[psor]=3`, `Clitic=Pa\|Mood=Cnd\|Number=Sing\|POS=VERB\|Person=3\|VerbForm=Fin\|Voice=Act`, `Case=Par\|Number=Plur\|POS=PRON\|PronType=Dem\|Style=Coll`, `Case=Ine\|Number=Plur\|POS=PROPN`, `Case=All\|Number=Sing\|Number[psor]=Plur\|POS=NOUN\|Person[psor]=2\|Style=Coll`, `Case=All\|Number=Sing\|POS=PRON\|Person=2\|PronType=Prs\|Style=Coll`, `Case=Nom\|Degree=Pos\|Number=Sing\|POS=VERB\|PartForm=Agt\|Person[psor]=3\|VerbForm=Part\|Voice=Act`, `Case=All\|Degree=Pos\|Number=Plur\|POS=ADJ\|Person[psor]=3`, `Case=Nom\|Clitic=Kaan\|Number=Sing\|POS=PROPN\|Style=Coll`, `Case=All\|Degree=Pos\|Number=Sing\|POS=VERB\|PartForm=Past\|VerbForm=Part\|Voice=Pass`, `Case=Abl\|Number=Sing\|POS=PRON\|PronType=Int`, `Case=Ade\|Derivation=Vs\|Number=Sing\|Number[psor]=Sing\|POS=NOUN\|Person[psor]=1`, `Mood=Imp\|Number=Plur\|POS=AUX\|Person=1\|Polarity=Neg\|VerbForm=Fin\|Voice=Act`, `POS=VERB\|Person[psor]=3\|VerbForm=Inf\|Voice=Act`, `Clitic=Kaan\|POS=ADV\|Style=Coll`, `Clitic=Ko\|Mood=Ind\|Number=Sing\|POS=VERB\|Person=3\|Style=Coll\|Tense=Pres\|VerbForm=Fin\|Voice=Act`, `Case=Nom\|Clitic=Pa\|Number=Sing\|POS=PRON\|Person=2\|PronType=Prs`, `Case=Ess\|Number=Sing\|Number[psor]=Plur\|POS=NOUN\|Person[psor]=1`, `Case=Ill\|Derivation=Lainen\|Number=Plur\|POS=NOUN`, `Case=Nom\|Clitic=Kin\|Derivation=Lainen\|Number=Plur\|POS=NOUN`, `Clitic=Ko\|Mood=Ind\|POS=VERB\|Tense=Past\|VerbForm=Fin\|Voice=Pass`, `Case=Ine\|Derivation=Llinen\|Number=Sing\|POS=ADJ`, `Case=Nom\|Clitic=Ko\|Number=Sing\|POS=PRON\|Person=2\|PronType=Prs`, `Case=Ins\|Number=Plur\|POS=PRON\|PronType=Int`, `Case=Nom\|Clitic=Han,Ko\|Number=Sing\|POS=PRON\|PronType=Int`, `Case=Par\|Number=Plur\|POS=PRON\|Person[psor]=3`, `Case=Ade\|Number=Sing\|POS=PROPN\|Style=Coll`, `Case=Ess\|Number=Sing\|POS=NOUN\|Style=Coll`, `Case=Ela\|Number=Sing\|POS=NOUN\|Style=Coll`, `Case=Ela\|Number=Sing\|POS=NOUN\|Person[psor]=3\|Style=Coll`, `Case=Ill\|Clitic=Kaan\|Derivation=Minen\|Number=Sing\|POS=NOUN`, `Clitic=Ko\|Mood=Cnd\|Number=Sing\|POS=VERB\|Person=2\|Style=Coll\|VerbForm=Fin\|Voice=Act`, `Clitic=Kin\|Mood=Cnd\|POS=VERB\|VerbForm=Fin\|Voice=Pass`, `Case=Ela\|Clitic=Ko\|Number=Sing\|POS=PROPN`, `Clitic=Pa\|Mood=Ind\|Number=Sing\|POS=AUX\|Person=2\|Tense=Pres\|VerbForm=Fin\|Voice=Act`, `Case=Gen\|Degree=Pos\|Number=Sing\|Number[psor]=Sing\|POS=VERB\|PartForm=Agt\|Person[psor]=2\|VerbForm=Part\|Voice=Act`, `Case=Ade\|Number=Plur\|Number[psor]=Plur\|POS=NOUN\|Person[psor]=2`, `Case=Ine\|Derivation=Minen\|Number=Sing\|Number[psor]=Sing\|POS=NOUN\|Person[psor]=1`, `Case=Ill\|Number=Sing\|POS=NUM`, `Case=Nom\|Number=Sing\|POS=PRON\|PronType=Ind\|Style=Coll`, `Clitic=S\|Mood=Imp\|Number=Sing\|POS=VERB\|Person=2\|VerbForm=Fin\|Voice=Act`, `Case=Nom\|Degree=Pos\|Number=Plur\|Number[psor]=Sing\|POS=AUX\|PartForm=Pres\|Person[psor]=1\|VerbForm=Part\|Voice=Act`, `Case=Nom\|Number=Sing\|POS=PRON\|Person[psor]=3\|Reflex=Yes`, `Case=Tra\|Degree=Pos\|Number=Sing\|POS=VERB\|PartForm=Pres\|Person[psor]=3\|VerbForm=Part\|Voice=Pass`, `Case=Abl\|Derivation=Inen,Vs\|Number=Plur\|POS=NOUN\|Person[psor]=3`, `Case=Par\|Clitic=Kaan\|Number=Sing\|POS=PRON\|PronType=Dem\|Style=Coll`, `Mood=Ind\|Number=Plur\|POS=VERB\|Person=2\|Style=Coll\|Tense=Pres\|VerbForm=Fin\|Voice=Act`, `Clitic=Ko,S\|Mood=Ind\|Number=Sing\|POS=AUX\|Person=3\|Tense=Pres\|VerbForm=Fin\|Voice=Act`, `Clitic=Pa\|Mood=Ind\|Number=Sing\|POS=AUX\|Person=0\|Tense=Pres\|VerbForm=Fin\|Voice=Act`, `Case=Ade\|Number=Plur\|POS=PRON\|Person=1\|PronType=Prs\|Style=Coll`, `Case=Ill\|Number=Sing\|POS=PRON`, `Case=Ill\|Degree=Pos\|Number=Plur\|POS=VERB\|PartForm=Agt\|Person[psor]=3\|VerbForm=Part\|Voice=Act`, `Clitic=Ko,S\|Number=Sing\|POS=AUX\|Person=3\|Polarity=Neg\|Style=Coll\|VerbForm=Fin\|Voice=Act`, `Case=Nom\|Number=Sing\|Number[psor]=Plur\|POS=NOUN\|Person[psor]=2`, `Case=Ela\|Number=Sing\|POS=PROPN\|Typo=Yes`, `Clitic=Kin\|Mood=Imp\|Number=Sing\|POS=VERB\|Person=2\|VerbForm=Fin\|Voice=Act`, `Case=Ill\|Derivation=Minen\|Number=Plur\|POS=NOUN`, `AdpType=Post\|POS=ADP\|Style=Coll`, `Case=Gen\|Number=Plur\|POS=NUM`, `Case=Ela\|Clitic=Han\|Number=Sing\|POS=PRON\|PronType=Dem`, `Case=Par\|NumType=Card\|Number=Sing\|POS=NUM\|Style=Coll`, `Case=Gen\|Derivation=Ton\|Number=Plur\|POS=NOUN`, `Case=Nom\|Clitic=Ko\|Mood=Ind\|Number=Sing\|POS=AUX\|Person=1\|PronType=Prs\|Style=Coll\|Tense=Pres\|VerbForm=Fin\|Voice=Act`, `Case=Ela\|Number=Sing\|POS=PRON\|Reflex=Yes`, `Case=All\|Clitic=Pa\|Degree=Pos\|Number=Sing\|POS=ADJ`, `Case=Abl\|Degree=Pos\|Number=Sing\|POS=VERB\|PartForm=Past\|VerbForm=Part\|Voice=Act`, `Case=Ine\|Degree=Pos\|Derivation=Lainen\|Number=Sing\|POS=ADJ`, `Case=Ela\|Clitic=Kaan\|Degree=Pos\|Derivation=Llinen\|Number=Sing\|POS=ADJ`, `Case=Abl\|Number=Plur\|POS=PRON\|Person[psor]=3`, `Case=Gen\|Clitic=Kin\|Derivation=Ja\|Number=Plur\|POS=NOUN`, `Case=Gen\|Clitic=Kaan\|Number=Sing\|POS=PRON\|PronType=Dem`, `Case=Nom\|Clitic=Han\|Number=Sing\|POS=PRON\|PronType=Int`, `Clitic=Han\|Mood=Imp\|Number=Plur\|POS=VERB\|Person=2\|Polarity=Neg\|VerbForm=Fin\|Voice=Act`, `Clitic=Pa\|Mood=Cnd\|Number=Plur\|POS=VERB\|Person=1\|VerbForm=Fin\|Voice=Act`, `Case=Ess\|Degree=Pos\|Number=Plur\|POS=VERB\|PartForm=Pres\|Person[psor]=3\|VerbForm=Part\|Voice=Act`, `Case=Abl\|Number=Plur\|POS=PRON\|Person=2\|PronType=Prs`, `Case=All\|Number=Plur\|Number[psor]=Plur\|POS=NOUN\|Person[psor]=2`, `Case=Gen\|Clitic=Han\|Number=Sing\|POS=NOUN\|Person[psor]=3`, `Clitic=Ko\|Mood=Ind\|POS=AUX\|Tense=Pres\|VerbForm=Fin\|Voice=Pass`, `Case=Ine\|Derivation=Inen,Vs\|Number=Plur\|POS=NOUN`, `Case=Ine\|Clitic=Kin\|Derivation=U\|Number=Sing\|POS=NOUN`, `Case=Nom\|Derivation=Ja\|Number=Plur\|POS=NOUN\|Person[psor]=3`, `Case=All\|Derivation=U\|Number=Plur\|POS=NOUN`, `Case=Abl\|Number=Sing\|POS=PRON\|PronType=Prs\|Style=Coll`, `Case=Par\|Clitic=Kin\|Number=Sing\|POS=NOUN\|Style=Coll`, `Mood=Ind\|Number=Sing\|POS=AUX\|Person=3\|Style=Coll\|Tense=Pres\|VerbForm=Fin\|Voice=Act`, `Number=Sing\|POS=SCONJ\|Person=1\|Polarity=Neg\|Style=Coll\|VerbForm=Fin\|Voice=Act`, `Case=Ess\|Degree=Cmp\|Number=Sing\|POS=ADJ`, `Clitic=Kin\|Mood=Ind\|Number=Sing\|POS=VERB\|Person=1\|Style=Coll\|Tense=Pres\|VerbForm=Fin\|Voice=Act`, `Case=Ela\|Degree=Pos\|Derivation=Lainen\|Number=Sing\|POS=ADJ\|Style=Coll`, `Case=Abl\|Clitic=Kin\|Number=Sing\|POS=PRON\|Person=1\|PronType=Prs`, `Case=Nom\|Degree=Pos\|Number=Plur\|POS=VERB\|PartForm=Past\|Person[psor]=3\|VerbForm=Part\|Voice=Act`, `Case=Nom\|Degree=Pos\|Number=Sing\|POS=VERB\|PartForm=Pres\|Person[psor]=3\|VerbForm=Part\|Voice=Act`, `Case=Par\|Clitic=Ko\|Number=Sing\|POS=NOUN`, `Mood=Pot\|Number=Sing\|POS=AUX\|Person=0\|VerbForm=Fin\|Voice=Act`, `Case=Gen\|Number=Plur\|POS=PRON\|PronType=Dem\|Style=Coll`, `Case=Ade\|Derivation=U\|Number=Sing\|Number[psor]=Plur\|POS=NOUN\|Person[psor]=1`, `Case=Abl\|Degree=Pos\|Derivation=Llinen\|Number=Plur\|POS=ADJ`, `Clitic=Kin\|Mood=Ind\|Number=Sing\|POS=AUX\|Person=2\|Tense=Pres\|VerbForm=Fin\|Voice=Act`, `Clitic=Han\|Mood=Ind\|POS=AUX\|Tense=Pres\|VerbForm=Fin\|Voice=Pass`, `Case=Abl\|Number=Sing\|POS=PRON\|PronType=Dem\|Style=Coll`, `Case=Tra\|InfForm=1\|Number=Sing\|Number[psor]=Sing\|POS=AUX\|Person[psor]=2\|VerbForm=Inf\|Voice=Act`, `Clitic=Han\|Mood=Imp\|Number=Sing\|POS=VERB\|Person=2\|Style=Coll\|VerbForm=Fin\|Voice=Act`, `Case=Ine\|Degree=Pos\|Number=Plur\|POS=VERB\|PartForm=Agt\|VerbForm=Part\|Voice=Act`, `Abbr=Yes\|Case=Nom\|Number=Plur\|POS=NOUN`, `Case=Gen\|Degree=Pos\|Derivation=Lainen\|Number=Sing\|POS=ADJ\|Typo=Yes`, `Clitic=Kaan\|Connegative=Yes\|Mood=Ind\|POS=VERB\|Tense=Pres\|VerbForm=Fin\|Voice=Pass`, `Case=Ela\|Clitic=Kin\|Number=Sing\|POS=NOUN`, `Clitic=Kaan\|Mood=Ind\|Number=Sing\|POS=AUX\|Person=3\|Tense=Past\|VerbForm=Fin\|Voice=Act`, `Case=Ela\|Clitic=Kin\|Derivation=Vs\|Number=Sing\|POS=NOUN`, `Case=Gen\|Number=Plur\|POS=PRON\|Person[psor]=3`, `Clitic=Pa,S\|Mood=Ind\|POS=VERB\|Tense=Pres\|VerbForm=Fin\|Voice=Pass`, `Clitic=Pa\|Mood=Ind\|Number=Sing\|POS=VERB\|Person=3\|Tense=Past\|VerbForm=Fin\|Voice=Act`, `Case=Nom\|Degree=Pos\|Number=Sing\|POS=AUX\|PartForm=Past\|Style=Coll\|VerbForm=Part\|Voice=Pass`, `Case=Ess\|Number=Sing\|POS=PRON\|Person=2\|PronType=Prs`, `Case=Gen\|Clitic=Han\|Number=Sing\|POS=PRON\|PronType=Int`, `Clitic=Han\|Number=Plur\|POS=AUX\|Person=3\|Polarity=Neg\|Style=Coll\|VerbForm=Fin\|Voice=Act`, `Case=Par\|Number=Sing\|POS=PRON\|Person[psor]=3\|Reflex=Yes\|Style=Coll`, `Case=Par\|Clitic=Kin\|Degree=Cmp\|Derivation=Inen\|Number=Sing\|POS=ADJ`, `Case=Ine\|Derivation=Lainen\|Number=Sing\|POS=ADJ\|Style=Coll`, `Case=Ine\|Degree=Pos\|Derivation=Lainen\|Number=Plur\|POS=ADJ\|Style=Coll`, `Case=Ine\|Derivation=Vs\|Number=Plur\|POS=NOUN\|Style=Coll`, `Case=Par\|Derivation=Ja\|Number=Sing\|POS=NOUN\|Style=Coll`, `Case=Par\|Derivation=Lainen\|Number=Sing\|POS=ADJ\|Style=Coll`, `Case=Ine\|Number=Sing\|POS=PRON\|PronType=Ind\|Style=Coll`, `Case=Ine\|Derivation=Inen\|Number=Plur\|POS=ADJ\|Style=Coll`, `Case=Gen\|Degree=Sup\|Number=Sing\|Number[psor]=Sing\|POS=ADJ\|Person[psor]=1`, `Case=Nom\|Clitic=Kin\|Number=Plur\|POS=NOUN\|Style=Coll`, `Case=Ine\|Clitic=Kin\|Number=Sing\|POS=PRON\|PronType=Ind`, `Case=Ela\|Degree=Pos\|Number=Plur\|Number[psor]=Sing\|POS=VERB\|PartForm=Agt\|Person[psor]=1\|VerbForm=Part\|Voice=Act`, `Case=Nom\|Number=Sing\|Number[psor]=Sing\|POS=PROPN\|Person[psor]=2`, `Case=Par\|Number=Sing\|Number[psor]=Sing\|POS=PRON\|Person[psor]=2\|Reflex=Yes`, `Case=Ade\|Number=Sing\|POS=PRON\|PronType=Rel\|Style=Coll`, `Clitic=Pa,S\|POS=ADV`, `Case=Ess\|Number=Sing\|POS=ADJ\|Style=Coll`, `Case=Nom\|Clitic=Kin\|Degree=Sup\|Number=Plur\|POS=ADJ`, `Number=Sing\|POS=AUX\|Person=3\|Polarity=Neg\|Style=Coll\|VerbForm=Fin\|Voice=Act`, `Case=Nom\|Clitic=Kaan\|Degree=Pos\|Number=Plur\|POS=VERB\|PartForm=Past\|Style=Coll\|VerbForm=Part\|Voice=Act`, `Case=All\|Number=Plur\|POS=PROPN`, `Clitic=Ko,S\|Mood=Ind\|Number=Sing\|POS=AUX\|Person=3\|Style=Coll\|Tense=Pres\|VerbForm=Fin\|Voice=Act`, `Case=Ill\|Number=Sing\|POS=PRON\|PronType=Ind\|Style=Coll`, `Case=Nom\|Degree=Pos\|Number=Plur\|POS=VERB\|PartForm=Past\|Typo=Yes\|VerbForm=Part\|Voice=Pass`, `Case=Nom\|Clitic=Kaan\|Degree=Pos\|Number=Plur\|POS=VERB\|PartForm=Past\|VerbForm=Part\|Voice=Act`, `Case=Ela\|Clitic=Han\|Derivation=Ja\|Number=Plur\|POS=NOUN`, `Clitic=Ko,S\|Mood=Ind\|Number=Sing\|POS=AUX\|Person=3\|Tense=Past\|VerbForm=Fin\|Voice=Act`, `Clitic=Pa,S\|Number=Sing\|POS=VERB\|Person=0\|Polarity=Neg\|VerbForm=Fin\|Voice=Act`, `Clitic=Han,Ko\|Number=Sing\|POS=AUX\|Person=3\|Polarity=Neg\|VerbForm=Fin\|Voice=Act`, `Case=Tra\|Number=Sing\|POS=PRON`, `Case=Nom\|Clitic=Kaan\|POS=PRON\|PronType=Ind`, `Clitic=Pa\|Mood=Imp\|Number=Plur\|POS=VERB\|Person=2\|VerbForm=Fin\|Voice=Act`, `Case=Ill\|Number=Sing\|POS=PRON\|PronType=Int\|Style=Coll`, `Connegative=Yes\|Mood=Pot\|POS=AUX\|Style=Coll\|VerbForm=Fin\|Voice=Act`, `Clitic=Kaan\|Connegative=Yes\|Mood=Ind\|POS=VERB\|Style=Coll\|Tense=Pres\|VerbForm=Fin\|Voice=Pass`, `Case=Nom\|Number=Plur\|POS=PRON\|Person[psor]=3\|Reflex=Yes`, `Number=Plur\|POS=AUX\|Person=3\|Polarity=Neg\|Typo=Yes\|VerbForm=Fin\|Voice=Act`, `Case=All\|Degree=Pos\|Number=Sing\|POS=VERB\|PartForm=Past\|VerbForm=Part\|Voice=Act`, `Case=Ine\|Derivation=Inen,Vs\|Number=Sing\|POS=NOUN`, `Case=Ela\|Degree=Pos\|Number=Sing\|POS=ADJ\|Style=Coll`, `Case=Gen\|Degree=Pos\|Derivation=Inen\|Number=Plur\|POS=ADJ\|Person[psor]=3`, `Case=Gen\|Clitic=Kin\|Degree=Pos\|Derivation=Inen\|Number=Plur\|POS=ADJ`, `Mood=Imp\|Number=Sing\|POS=AUX\|Person=3\|Polarity=Neg\|VerbForm=Fin\|Voice=Act`, `Connegative=Yes\|Mood=Imp\|POS=VERB\|VerbForm=Fin\|Voice=Pass`, `Clitic=Han\|Mood=Imp\|Number=Plur\|POS=VERB\|Person=2\|VerbForm=Fin\|Voice=Act`, `Case=All\|Clitic=Kin\|Number=Sing\|POS=NOUN`, `Case=All\|Number=Plur\|POS=PRON`, `Case=Nom\|Clitic=Kaan\|Number=Sing\|POS=PRON\|PronType=Dem`, `Mood=Pot\|Number=Sing\|POS=AUX\|Person=0\|Typo=Yes\|VerbForm=Fin\|Voice=Act`, `Mood=Imp\|Number=Plur\|POS=VERB\|Person=1\|Style=Coll\|VerbForm=Fin\|Voice=Act`, `Case=Ess\|Degree=Pos\|Number=Plur\|Number[psor]=Plur\|POS=VERB\|PartForm=Pres\|Person[psor]=1\|VerbForm=Part\|Voice=Act`, `Case=Nom\|Derivation=Ja\|Number=Sing\|POS=NOUN\|Person[psor]=3`, `Case=Ess\|Derivation=Ton\|Number=Sing\|POS=ADJ`, `Case=Ess\|Degree=Cmp\|Number=Plur\|POS=ADJ`, `Abbr=Yes\|Case=Nom\|Degree=Pos\|Number=Sing\|POS=VERB\|PartForm=Past\|VerbForm=Part\|Voice=Pass`, `Case=Ade\|Degree=Sup\|Number=Plur\|POS=ADJ\|Person[psor]=3`, `Clitic=Han\|Mood=Ind\|Number=Plur\|POS=AUX\|Person=3\|Tense=Pres\|VerbForm=Fin\|Voice=Act`, `Case=Com\|Derivation=Ja\|POS=NOUN\|Person[psor]=3`, `Clitic=Pa,S\|Mood=Ind\|POS=AUX\|Style=Coll\|Tense=Pres\|VerbForm=Fin\|Voice=Pass`, `Case=Abl\|Number=Sing\|POS=PRON\|Person=2\|PronType=Prs`, `Case=Ade\|Derivation=U\|Number=Plur\|POS=NOUN`, `Case=Ela\|Number=Sing\|POS=PRON\|Person[psor]=3`, `Case=Ade\|Derivation=Lainen\|Number=Sing\|POS=ADJ`, `Case=Par\|Derivation=Inen,Vs\|Number=Sing\|POS=NOUN\|Person[psor]=3`, `Case=Ade\|Clitic=Kin\|Number=Plur\|POS=PRON\|Person=1\|PronType=Prs`, `Case=Nom\|Derivation=Lainen\|Number=Sing\|POS=PROPN`, `Case=Nom\|Number=Sing\|POS=ADJ`, `Case=Ins\|Number=Plur\|POS=PROPN`, `Case=Gen\|Clitic=Kin\|Number=Sing\|POS=PRON\|Person[psor]=3\|Reflex=Yes`, `Case=Gen\|POS=PRON\|Person[psor]=3\|PronType=Rcp`, `Case=Acc\|Number=Plur\|POS=PRON\|PronType=Int`, `Case=Ess\|Degree=Pos\|Number=Plur\|Number[psor]=Sing\|POS=VERB\|PartForm=Pres\|Person[psor]=1\|VerbForm=Part\|Voice=Act`, `Case=Ine\|Clitic=Kin\|Number=Sing\|POS=PROPN`, `Case=Nom\|Degree=Cmp\|Derivation=Inen\|Number=Plur\|POS=ADJ`, `Case=Nom\|Derivation=Inen\|Number=Sing\|POS=ADJ\|Style=Coll`, `Case=Ela\|Clitic=Kaan\|Derivation=U\|Number=Sing\|POS=NOUN`, `Case=Ade\|Degree=Pos\|Number=Plur\|POS=ADJ\|Person[psor]=3`, `Case=Tra\|Degree=Pos\|Number=Sing\|POS=VERB\|PartForm=Pres\|VerbForm=Part\|Voice=Act`, `Case=Gen\|Derivation=Inen\|NumType=Ord\|Number=Plur\|POS=ADJ`, `Clitic=Kin\|Mood=Ind\|POS=VERB\|Tense=Past\|VerbForm=Fin\|Voice=Pass`, `Case=Ill\|NumType=Card\|Number=Sing\|POS=NUM\|Style=Coll`, `Case=Ine\|Derivation=U\|Number=Sing\|POS=NOUN\|Person[psor]=3`, `Case=Ade\|Degree=Pos\|Derivation=Llinen\|Number=Plur\|POS=ADJ`, `Case=Nom\|Clitic=Kin\|Number=Plur\|Number[psor]=Sing\|POS=NOUN\|Person[psor]=2`, `Case=Tra\|Clitic=Kin\|Derivation=Ja\|Number=Plur\|POS=NOUN`, `Case=Gen\|Number=Sing\|POS=PROPN\|Style=Coll`, `Case=Ine\|Degree=Pos\|Number=Plur\|POS=ADJ\|Style=Coll`, `Case=Ine\|Number=Plur\|POS=NOUN\|Style=Coll`, `Clitic=Kaan\|InfForm=1\|Number=Sing\|POS=VERB\|Style=Coll\|VerbForm=Inf\|Voice=Act`, `Case=Ill\|Number=Plur\|POS=NOUN\|Style=Coll`, `Clitic=Han,Ko\|Mood=Ind\|Number=Sing\|POS=VERB\|Person=3\|Tense=Pres\|VerbForm=Fin\|Voice=Act`, `Case=Ela\|Degree=Pos\|Number=Plur\|POS=VERB\|PartForm=Agt\|VerbForm=Part\|Voice=Act`, `Clitic=Ko,S\|Mood=Ind\|Number=Sing\|POS=VERB\|Person=3\|Style=Coll\|Tense=Pres\|VerbForm=Fin\|Voice=Act`, `Case=Nom\|Degree=Pos\|Number=Plur\|POS=AUX\|PartForm=Pres\|Person[psor]=3\|VerbForm=Part\|Voice=Act`, `Case=Nom\|Number=Sing\|POS=AUX\|Person=1\|Polarity=Neg\|PronType=Prs\|Style=Coll\|VerbForm=Fin\|Voice=Act`, `Case=Abl\|Degree=Pos\|Derivation=Lainen\|Number=Plur\|POS=ADJ`, `Case=Abl\|Degree=Pos\|Number=Plur\|POS=VERB\|PartForm=Past\|VerbForm=Part\|Voice=Pass`, `Case=Ill\|Derivation=Llinen,Vs\|Number=Plur\|POS=NOUN`, `Case=All\|Degree=Pos\|Number=Plur\|POS=VERB\|PartForm=Past\|VerbForm=Part\|Voice=Act`, `Case=Ill\|Derivation=Ton,Vs\|Number=Plur\|POS=NOUN`, `Case=Ela\|Degree=Pos\|Derivation=Ton\|Number=Sing\|POS=ADJ`, `Case=Gen\|Degree=Pos\|Number=Plur\|POS=VERB\|PartForm=Pres\|Person[psor]=3\|VerbForm=Part\|Voice=Pass`, `Case=Ela\|Degree=Cmp\|Number=Plur\|POS=ADJ`, `Case=Ill\|Degree=Pos\|Number=Plur\|POS=VERB\|PartForm=Pres\|VerbForm=Part\|Voice=Pass`, `Case=Gen\|Degree=Pos\|Number=Plur\|POS=VERB\|PartForm=Agt\|VerbForm=Part\|Voice=Act`, `Case=Nom\|Derivation=Llinen\|Number=Sing\|POS=ADJ`, `Case=All\|Number=Plur\|POS=PRON\|Person[psor]=3\|PronType=Rcp`, `Case=Ela\|Derivation=Minen\|Number=Sing\|POS=NOUN\|Typo=Yes`, `Mood=Ind\|POS=VERB\|Tense=Pres\|Typo=Yes\|VerbForm=Fin\|Voice=Pass`, `Case=All\|Number=Plur\|POS=PRON\|PronType=Rel`, `POS=ADJ\|Typo=Yes`, `Case=Gen\|Degree=Pos\|Derivation=Inen\|POS=ADJ`, `Case=Ess\|Derivation=Lainen\|Number=Plur\|POS=ADJ`, `Case=Nom\|Degree=Pos\|Number=Plur\|POS=VERB\|PartForm=Agt\|Person[psor]=3\|VerbForm=Part\|Voice=Act`, `Case=Ess\|Degree=Pos\|Number=Plur\|POS=VERB\|PartForm=Pres\|VerbForm=Part\|Voice=Act`, `Case=Par\|Number=Plur\|POS=PRON\|PronType=Rcp`, `Case=Tra\|NumType=Card\|Number=Sing\|POS=NUM`, `Clitic=Pa\|Mood=Ind\|POS=VERB\|Tense=Past\|VerbForm=Fin\|Voice=Pass`, `Case=Ine\|NumType=Ord\|Number=Sing\|POS=ADJ`, `Case=Gen\|Derivation=Inen,Vs\|Number=Plur\|POS=NOUN`, `Case=Gen\|Derivation=Ja\|Number=Plur\|POS=NOUN\|Typo=Yes`, `Case=Gen\|Degree=Pos\|Derivation=Ton\|Number=Plur\|POS=ADJ`, `Case=Gen\|Derivation=Ton\|Number=Plur\|POS=ADJ`, `Case=Ela\|NumType=Ord\|Number=Sing\|POS=ADJ`, `Case=Ela\|Derivation=Llinen,Vs\|Number=Sing\|POS=NOUN\|Typo=Yes`, `Case=Tra\|Degree=Pos\|Number=Plur\|POS=VERB\|PartForm=Pres\|VerbForm=Part\|Voice=Act`, `Abbr=Yes\|Case=Tra\|Number=Sing\|POS=NOUN`, `Case=Ins\|Degree=Pos\|Number=Plur\|POS=VERB\|PartForm=Past\|VerbForm=Part\|Voice=Pass`, `Case=Ess\|Degree=Pos\|Derivation=Lainen\|Number=Sing\|POS=ADJ\|Person[psor]=3`, `Case=Tra\|Degree=Cmp\|Derivation=Inen\|Number=Plur\|POS=ADJ`, `Case=Nom\|Derivation=Minen\|Number=Plur\|POS=NOUN`, `Abbr=Yes\|Case=All\|Number=Sing\|POS=PROPN`, `Case=All\|Derivation=Ton\|Number=Plur\|POS=ADJ`, `Case=Nom\|Derivation=U\|Number=Plur\|POS=NOUN\|Person[psor]=3`, `Case=Par\|Degree=Pos\|Number=Plur\|POS=VERB\|PartForm=Agt\|Person[psor]=3\|VerbForm=Part\|Voice=Act`, `Case=Gen\|NumType=Ord\|POS=ADJ`, `Case=Par\|Degree=Pos\|Number=Sing\|POS=ADJ\|Typo=Yes`, `POS=X`, `Case=Par\|Derivation=Ja\|Number=Plur\|POS=NOUN\|Style=Coll`, `Case=Gen\|Derivation=Inen\|Number=Plur\|POS=NOUN`, `Case=Nom\|Degree=Pos\|Derivation=Ton\|Number=Sing\|POS=ADJ\|Style=Coll`, `Case=Nom\|Degree=Pos\|Number=Sing\|POS=VERB\|PartForm=Past\|Typo=Yes\|VerbForm=Part\|Voice=Pass`, `Case=Ade\|Clitic=Kin\|Derivation=U\|Number=Sing\|POS=NOUN`, `Case=Nom\|Clitic=Kin\|Derivation=Ja\|Number=Plur\|POS=NOUN`, `Case=All\|Clitic=Kin\|Degree=Cmp\|Number=Plur\|POS=ADJ`, `Case=All\|Clitic=Kin\|Number=Plur\|POS=NOUN`, `Case=Ill\|Clitic=Kin\|Number=Sing\|POS=PRON\|PronType=Int`, `Case=Gen\|Clitic=Kin\|Degree=Cmp\|Number=Sing\|POS=ADJ`, `Case=Abl\|Number=Plur\|Number[psor]=Plur\|POS=NOUN\|Person[psor]=1`, `Case=Nom\|Degree=Pos\|Number=Sing\|POS=AUX\|PartForm=Pres\|Person[psor]=3\|VerbForm=Part\|Voice=Act`, `Case=Gen\|Clitic=Han\|Number=Sing\|POS=PRON\|PronType=Ind`, `Case=Ela\|Clitic=Kaan\|Number=Sing\|POS=PRON\|PronType=Ind`, `Case=Ade\|Derivation=U\|Number=Plur\|POS=NOUN\|Person[psor]=3`, `Case=Ill\|Number=Sing\|Number[psor]=Plur\|POS=NOUN\|Person[psor]=1\|Typo=Yes`, `Case=Nom\|Clitic=Kin\|Derivation=U\|Number=Plur\|POS=NOUN`, `Case=Ill\|Degree=Pos\|Number=Sing\|POS=VERB\|PartForm=Pres\|VerbForm=Part\|Voice=Pass`, `Case=Par\|NumType=Ord\|POS=ADJ`, `Case=Par\|Degree=Sup\|Derivation=Llinen\|Number=Plur\|POS=ADJ`, `Case=All\|Derivation=Inen,Vs\|Number=Sing\|POS=NOUN`, `Case=All\|Clitic=Kin\|Degree=Pos\|Number=Plur\|POS=VERB\|PartForm=Past\|VerbForm=Part\|Voice=Act`, `Case=Tra\|Derivation=U\|Number=Sing\|POS=NOUN\|Person[psor]=3`, `Case=Gen\|Derivation=Inen\|Number=Sing\|POS=ADJ`, `Case=Gen\|Derivation=Ja\|Number=Sing\|Number[psor]=Plur\|POS=NOUN\|Person[psor]=1`, `Case=Ade\|Clitic=Kaan\|Number=Sing\|POS=NOUN`, `Case=Ess\|Clitic=Kin\|Number=Sing\|POS=NOUN`, `Case=Gen\|Degree=Pos\|Derivation=Inen\|Number=Sing\|POS=ADJ\|Person[psor]=3`, `Case=Abl\|Degree=Pos\|Derivation=Ja\|Number=Plur\|POS=ADJ`, `Case=Tra\|Number=Sing\|Number[psor]=Plur\|POS=NOUN\|Person[psor]=1`, `Abbr=Yes\|Case=Gen\|Degree=Pos\|Number=Sing\|POS=ADJ`, `Case=Ill\|Number=Plur\|POS=PRON\|Person=2\|PronType=Prs`, `Case=Ela\|Number=Plur\|Number[psor]=Plur\|POS=PRON\|Person[psor]=2`, `Case=Nom\|Degree=Pos\|Number=Plur\|Number[psor]=Plur\|POS=AUX\|PartForm=Pres\|Person[psor]=2\|VerbForm=Part\|Voice=Act`, `Case=Tra\|Number=Sing\|POS=NUM`, `Case=Gen\|Degree=Pos\|Number=Sing\|POS=VERB\|PartForm=Neg\|VerbForm=Part\|Voice=Act`, `Clitic=Kin\|Mood=Cnd\|Number=Plur\|POS=VERB\|Person=1\|VerbForm=Fin\|Voice=Act`, `Case=Ela\|Clitic=Kin\|Number=Plur\|Number[psor]=Plur\|POS=NOUN\|Person[psor]=1`, `Case=Ela\|Degree=Pos\|Number=Plur\|POS=VERB\|PartForm=Past\|Typo=Yes\|VerbForm=Part\|Voice=Pass`, `Case=Tra\|Derivation=Vs\|Number=Sing\|POS=NOUN`, `Case=Ill\|Degree=Cmp\|Derivation=Llinen\|Number=Sing\|POS=ADJ`, `Case=Nom\|Degree=Pos\|Number=Sing\|Number[psor]=Sing\|POS=VERB\|PartForm=Past\|Person[psor]=1\|VerbForm=Part\|Voice=Act`, `Case=Ins\|InfForm=3\|Number=Sing\|POS=VERB\|VerbForm=Inf\|Voice=Act`, `Case=Gen\|Clitic=Kin\|Number=Plur\|Number[psor]=Sing\|POS=PRON\|Person[psor]=1\|Reflex=Yes`, `Case=Nom\|Derivation=Ton\|Number=Plur\|POS=NOUN`, `Case=Ade\|Clitic=Han\|Number=Sing\|POS=NOUN`, `Case=Tra\|Degree=Sup\|Derivation=Llinen\|Number=Sing\|POS=ADJ`, `Case=Ela\|Derivation=Llinen,Vs\|Number=Sing\|POS=NOUN\|Person[psor]=3`, `Case=Nom\|Degree=Cmp\|Number=Sing\|POS=VERB\|PartForm=Past\|VerbForm=Part\|Voice=Pass`, `Case=Ins\|Clitic=Kin\|InfForm=2\|Number=Sing\|POS=VERB\|VerbForm=Inf\|Voice=Act`, `Case=Ela\|Number=Plur\|POS=PRON\|Person[psor]=3`, `Case=Gen\|Degree=Sup\|Derivation=Llinen\|Number=Sing\|POS=ADJ`, `Case=Par\|Clitic=S\|Number=Sing\|POS=PRON\|PronType=Int`, `Case=Abl\|Clitic=Pa\|Number=Sing\|POS=PRON\|PronType=Int`, `Clitic=Ko\|Mood=Cnd\|Number=Sing\|POS=VERB\|Person=2\|VerbForm=Fin\|Voice=Act`, `Case=Abl\|Number=Sing\|Number[psor]=Sing\|POS=NOUN\|Person[psor]=2`, `Clitic=Pa,S\|Mood=Imp\|Number=Sing\|POS=VERB\|Person=2\|VerbForm=Fin\|Voice=Act`, `Case=Nom\|Degree=Pos\|Number=Sing\|Number[psor]=Sing\|POS=VERB\|PartForm=Pres\|Person[psor]=2\|VerbForm=Part\|Voice=Act`, `Case=Par\|Degree=Pos\|Number=Sing\|POS=VERB\|PartForm=Past\|Typo=Yes\|VerbForm=Part\|Voice=Pass`, `Number=Sing\|POS=PROPN`, `Clitic=Kin\|Mood=Ind\|Number=Plur\|POS=VERB\|Person=1\|Tense=Past\|VerbForm=Fin\|Voice=Act`, `Case=Gen\|Degree=Pos\|Number=Sing\|POS=AUX\|PartForm=Pres\|Typo=Yes\|VerbForm=Part\|Voice=Act`, `Case=Ade\|Number=Plur\|Number[psor]=Plur\|POS=NOUN\|Person[psor]=1`, `Clitic=Han\|Mood=Ind\|Number=Plur\|POS=VERB\|Person=1\|Tense=Past\|VerbForm=Fin\|Voice=Act`, `Case=Ess\|Derivation=Llinen,Vs\|Number=Sing\|POS=NOUN`, `Clitic=Han\|Mood=Cnd\|Number=Sing\|POS=AUX\|Person=3\|VerbForm=Fin\|Voice=Act`, `Clitic=Han\|Mood=Ind\|Number=Sing\|POS=AUX\|Person=3\|Tense=Past\|VerbForm=Fin\|Voice=Act`, `Clitic=Pa,S\|Mood=Ind\|Number=Sing\|POS=VERB\|Person=0\|Tense=Pres\|VerbForm=Fin\|Voice=Act`, `Case=Par\|Derivation=Lainen\|Number=Sing\|POS=NOUN`, `Case=Nom\|Clitic=Kin\|Derivation=Inen\|NumType=Ord\|Number=Sing\|POS=ADJ`, `Case=Ade\|Number=Plur\|POS=PRON`, `Case=All\|NumType=Ord\|Number=Sing\|POS=ADJ`, `Case=Par\|Derivation=Lainen,Vs\|Number=Sing\|POS=NOUN`, `AdpType=Post\|Clitic=Kaan\|POS=ADP`, `AdpType=Prep\|POS=ADP\|Person[psor]=3`, `Case=Ine\|Derivation=Ton\|Number=Sing\|POS=ADJ`, `Case=Ine\|Derivation=Ton,Vs\|Number=Sing\|POS=NOUN\|Person[psor]=3`, `Case=Gen\|Derivation=Ton\|Number=Sing\|POS=ADJ`, `Case=Par\|Derivation=Lainen\|Number=Plur\|POS=ADJ\|Style=Coll`, `AdpType=Prep\|Clitic=Kaan\|POS=ADP`, `Case=Nom\|Clitic=Han\|Number=Sing\|POS=PROPN`, `Clitic=Pa\|InfForm=1\|Number=Sing\|POS=AUX\|VerbForm=Inf\|Voice=Act`, `Case=Gen\|Degree=Pos\|Number=Sing\|POS=ADJ\|Typo=Yes`, `Case=Gen\|Degree=Cmp\|Number=Plur\|POS=ADJ`, `Case=Ade\|Clitic=Kaan\|Degree=Pos\|Number=Sing\|POS=ADJ`, `Case=Ine\|Clitic=Kin\|Number=Plur\|POS=PRON\|PronType=Ind`, `Case=Ill\|Derivation=Ja\|Number=Sing\|POS=NOUN`, `Case=Ade\|Derivation=Vs\|Number=Sing\|POS=NOUN\|Person[psor]=3`, `Case=Ess\|Derivation=U\|Number=Plur\|POS=NOUN`, `Case=Gen\|Clitic=Kaan\|Number=Sing\|POS=PROPN`, `Case=Com\|Clitic=Kin\|Derivation=U\|POS=NOUN\|Person[psor]=3`, `Case=Ade\|Derivation=U\|Number=Sing\|POS=NOUN\|Person[psor]=3`, `Case=Gen\|Number=Sing\|Number[psor]=Sing\|POS=PRON\|Person[psor]=2\|Reflex=Yes`, `Mood=Ind\|Number=Plur\|POS=VERB\|Person=3\|Tense=Pres\|Typo=Yes\|VerbForm=Fin\|Voice=Act`, `Case=Ade\|Degree=Pos\|Number=Sing\|POS=VERB\|PartForm=Pres\|VerbForm=Part\|Voice=Pass`, `Case=Ill\|Clitic=Kin\|NumType=Card\|Number=Sing\|POS=NUM`, `Case=Ade\|Derivation=Inen\|Number=Plur\|POS=ADJ`, `Case=Gen\|Degree=Sup\|Derivation=Inen\|Number=Plur\|POS=ADJ`, `Case=All\|Derivation=Lainen\|Number=Sing\|POS=NOUN`, `Case=Gen\|Derivation=U\|Number=Plur\|POS=NOUN\|Person[psor]=3`, `Case=All\|Degree=Sup\|Derivation=Llinen\|Number=Plur\|POS=ADJ`, `Case=Ill\|Number=Plur\|POS=PRON\|Person[psor]=3`, `Case=Ess\|Degree=Pos\|Number=Sing\|POS=ADJ\|Typo=Yes`, `Case=Gen\|Degree=Sup\|Number=Sing\|POS=ADJ\|Typo=Yes`, `Case=Nom\|Degree=Sup\|Derivation=Ton\|Number=Sing\|POS=ADJ`, `Case=Par\|Derivation=Vs\|Number=Plur\|Number[psor]=Sing\|POS=NOUN\|Person[psor]=1`, `Case=Par\|Degree=Cmp\|Derivation=Ton\|Number=Plur\|POS=ADJ`, `Case=Ess\|Number=Sing\|POS=PRON\|PronType=Ind\|Typo=Yes`, `Case=Ela\|Degree=Cmp\|Derivation=Inen\|Number=Sing\|POS=ADJ`, `Case=Ill\|Derivation=Lainen,Vs\|Number=Sing\|POS=NOUN`, `Case=Ill\|Degree=Cmp\|Derivation=Inen\|Number=Sing\|POS=ADJ`, `Case=Ela\|Clitic=Han\|Number=Sing\|POS=NOUN`, `Case=Gen\|Degree=Sup\|Derivation=Ton\|Number=Plur\|POS=ADJ`, `Case=Ela\|Derivation=Lainen\|Number=Sing\|POS=NOUN`, `Case=Ess\|Degree=Sup\|Derivation=Inen\|Number=Sing\|POS=ADJ`, `Case=Gen\|Degree=Pos\|Derivation=Inen\|Number=Sing\|POS=ADJ\|Typo=Yes`, `Clitic=Kin\|Mood=Cnd\|Number=Plur\|POS=VERB\|Person=3\|VerbForm=Fin\|Voice=Act`, `Case=Par\|Degree=Pos\|Number=Plur\|POS=VERB\|PartForm=Neg\|VerbForm=Part\|Voice=Act`, `Case=Ela\|Degree=Pos\|Derivation=Llinen\|Number=Plur\|POS=ADJ\|Typo=Yes`, `Case=Ela\|InfForm=3\|Number=Sing\|POS=AUX\|VerbForm=Inf\|Voice=Act`, `Case=Com\|Degree=Pos\|Derivation=Inen\|POS=ADJ`, `Case=Com\|Degree=Pos\|Derivation=Llinen\|POS=ADJ`, `Case=Gen\|Number=Sing\|POS=NOUN\|Person[psor]=3\|Typo=Yes`, `Connegative=Yes\|Mood=Cnd\|POS=VERB\|VerbForm=Fin\|Voice=Pass`, `Case=Nom\|Derivation=Ton,Vs\|Number=Plur\|POS=NOUN`, `Case=Gen\|Derivation=Ja\|Number=Sing\|POS=NOUN\|Person[psor]=3`, `Case=Ine\|Clitic=Kin\|Degree=Pos\|Number=Sing\|POS=ADJ`, `Case=Gen\|Derivation=Ja\|Number=Plur\|POS=NOUN\|Person[psor]=3`, `Case=Ill\|Derivation=Minen\|Number=Sing\|POS=NOUN\|Person[psor]=3`, `Case=Ess\|Number=Plur\|POS=NOUN\|Person[psor]=3`, `Case=Ela\|Number=Sing\|POS=NUM`, `Abbr=Yes\|Case=Ill\|Degree=Pos\|Number=Sing\|POS=ADJ`, `Case=Par\|Derivation=Inen,Vs\|Number=Plur\|POS=NOUN\|Person[psor]=3`, `Case=Ela\|Clitic=Kin\|Number=Sing\|POS=PRON\|PronType=Ind`, `Case=Tra\|Derivation=Inen,Vs\|Number=Sing\|POS=NOUN`, `Case=Ade\|Degree=Pos\|Number=Plur\|POS=VERB\|PartForm=Past\|VerbForm=Part\|Voice=Act`, `Case=Gen\|Derivation=Tar\|Number=Plur\|POS=NOUN`, `Case=Gen\|Derivation=Tar\|Number=Sing\|POS=NOUN`, `Case=Ade\|Degree=Pos\|Number=Sing\|POS=VERB\|PartForm=Past\|VerbForm=Part\|Voice=Act`, `Case=Ess\|Degree=Sup\|Derivation=Llinen\|Number=Sing\|POS=ADJ`, `Case=Abl\|Derivation=Vs\|Number=Sing\|POS=NOUN\|Person[psor]=3`, `Clitic=Kaan\|Connegative=Yes\|Mood=Ind\|POS=AUX\|Tense=Pres\|VerbForm=Fin\|Voice=Pass`, `Clitic=Kin\|Mood=Cnd\|Number=Plur\|POS=AUX\|Person=3\|VerbForm=Fin\|Voice=Act`, `Case=Nom\|Number=Plur\|POS=VERB\|PartForm=Past\|VerbForm=Part\|Voice=Pass`, `Case=Gen\|Number=Plur\|POS=PRON`, `Case=Ill\|Number=Sing\|POS=PRON\|Person[psor]=3\|Reflex=Yes`, `Case=Nom\|Number=Plur\|POS=PRON\|PronType=Rel\|Typo=Yes`, `Case=Ade\|Clitic=Kin\|Number=Plur\|POS=PRON\|PronType=Dem`, `Case=Ess\|Derivation=Lainen\|Number=Plur\|POS=NOUN`, `Case=Ade\|Derivation=Inen,Vs\|Number=Sing\|POS=NOUN`, `Case=Gen\|Derivation=Lainen,Vs\|Number=Sing\|POS=NOUN`, `Case=All\|Derivation=Lainen\|Number=Plur\|POS=NOUN\|Person[psor]=3`, `Case=Ine\|Degree=Cmp\|Derivation=Inen\|Number=Sing\|POS=ADJ`, `Case=Ill\|Derivation=Vs\|Number=Sing\|POS=NOUN\|Person[psor]=3`, `POS=PROPN\|Typo=Yes`, `Case=All\|Derivation=Lainen\|Number=Sing\|POS=ADJ`, `Case=Ine\|Number=Sing\|POS=PRON\|Person[psor]=3\|Reflex=Yes`, `Abbr=Yes\|Case=Nom\|Degree=Pos\|Number=Sing\|POS=VERB\|PartForm=Past\|VerbForm=Part\|Voice=Act`, `Case=Ill\|Derivation=Lainen\|Number=Sing\|POS=PROPN`, `Case=Ela\|Degree=Cmp\|Derivation=Inen\|Number=Plur\|POS=ADJ`, `Case=Abl\|Number=Plur\|POS=PROPN`, `Case=Ess\|Derivation=Ja\|Number=Sing\|POS=NOUN\|Person[psor]=3`, `Abbr=Yes\|Case=Tra\|Degree=Pos\|Number=Sing\|POS=ADJ`, `Case=Nom\|Degree=Sup\|Derivation=Lainen\|Number=Sing\|POS=ADJ`, `Case=Tra\|Degree=Pos\|Derivation=Lainen\|Number=Plur\|POS=ADJ`, `Case=Nom\|Derivation=Lainen,Vs\|Number=Sing\|POS=NOUN`, `Case=Abl\|Number=Sing\|POS=NOUN\|Person[psor]=3\|Typo=Yes`, `Case=Nom\|Degree=Sup\|Number=Sing\|POS=VERB\|PartForm=Past\|VerbForm=Part\|Voice=Pass`, `Case=Nom\|Degree=Sup\|Number=Sing\|POS=VERB\|PartForm=Past\|VerbForm=Part\|Voice=Act`, `Case=Tra\|Degree=Cmp\|Derivation=Llinen\|Number=Plur\|POS=ADJ`, `Case=Ela\|Clitic=Kin\|Degree=Sup\|Number=Sing\|POS=ADJ`, `Abbr=Yes\|POS=ADJ`, `Case=Ine\|Degree=Cmp\|Derivation=Inen\|Number=Plur\|POS=ADJ`, `Case=Par\|Derivation=Tar\|Number=Sing\|POS=NOUN`, `Case=Ela\|Degree=Sup\|Derivation=Inen\|Number=Sing\|POS=ADJ`, `Case=Nom\|Clitic=Kin\|Degree=Pos\|Derivation=Llinen\|Number=Sing\|POS=ADJ`, `Case=Ess\|Degree=Pos\|Derivation=Lainen\|Number=Sing\|POS=NOUN`, `Case=Ela\|Derivation=U\|Number=Sing\|POS=NOUN\|Person[psor]=3`, `Case=All\|Clitic=Kin\|Number=Sing\|POS=PRON\|PronType=Dem`, `Case=Ela\|Derivation=Lainen,Vs\|Number=Sing\|POS=NOUN`, `Case=Nom\|Degree=Pos\|Derivation=Ton\|Number=Sing\|POS=VERB\|PartForm=Neg\|VerbForm=Part\|Voice=Act`, `POS=CCONJ\|Typo=Yes`, `Case=All\|Number=Sing\|POS=PRON`, `Case=Ess\|Derivation=Inen,Vs\|Number=Sing\|POS=NOUN`, `Case=Ine\|Derivation=Llinen,Vs\|Number=Plur\|POS=NOUN`, `Case=Gen\|Degree=Pos\|Number=Sing\|POS=VERB\|PartForm=Agt\|Typo=Yes\|VerbForm=Part\|Voice=Act`, `Case=Ine\|POS=SYM`, `Abbr=Yes\|Case=Ess\|Number=Sing\|POS=NOUN`, `Case=Par\|Number=Sing\|POS=PROPN\|Typo=Yes`, `Abbr=Yes\|Case=Nom\|NumType=Card\|Number=Sing\|POS=NUM`, `Case=Ade\|Clitic=Kin\|Degree=Pos\|Number=Sing\|POS=ADJ`, `Case=Par\|Degree=Cmp\|Number=Sing\|POS=ADJ\|Typo=Yes`, `Case=Tra\|Derivation=Ja\|Number=Sing\|POS=NOUN\|Person[psor]=3`, `Case=Abl\|Derivation=Minen\|Number=Sing\|POS=NOUN`, `Clitic=Ko\|Mood=Ind\|Number=Plur\|POS=AUX\|Person=3\|Tense=Past\|VerbForm=Fin\|Voice=Act`, `Case=Nom\|Degree=Pos\|Derivation=Inen\|Number=Sing\|POS=ADJ\|Typo=Yes`, `Case=Nom\|Derivation=Inen,Vs\|Number=Sing\|POS=NOUN\|Typo=Yes`, `Case=Ade\|Clitic=Kaan\|Derivation=Ja\|Number=Sing\|POS=NOUN`, `Abbr=Yes\|POS=PROPN`, `Case=Par\|Derivation=Inen\|NumType=Ord\|Number=Plur\|POS=ADJ`, `Case=Ela\|Degree=Pos\|Number=Sing\|POS=VERB\|PartForm=Neg\|VerbForm=Part\|Voice=Act`, `Case=Ela\|Degree=Pos\|Number=Plur\|POS=VERB\|PartForm=Agt\|Person[psor]=3\|VerbForm=Part\|Voice=Act`, `Case=Ade\|Degree=Sup\|Derivation=Inen\|Number=Plur\|POS=ADJ\|Person[psor]=3`, `Case=Ade\|Derivation=Lainen\|Number=Plur\|POS=ADJ`, `Case=All\|Degree=Cmp\|Number=Plur\|POS=ADJ`, `Case=Par\|Degree=Pos\|Number=Plur\|POS=VERB\|PartForm=Past\|Typo=Yes\|VerbForm=Part\|Voice=Act`, `Case=Gen\|Clitic=Kin\|Number=Plur\|POS=PROPN`, `Case=Par\|Derivation=Inen\|Number=Plur\|POS=ADJ`, `Case=Ine\|Derivation=Lainen\|Number=Plur\|POS=ADJ`, `Case=Tra\|Derivation=Ja\|Number=Sing\|POS=NOUN\|Typo=Yes`, `Abbr=Yes\|Case=Tra\|Degree=Pos\|Number=Plur\|POS=ADJ`, `Abbr=Yes\|Case=Gen\|Number=Sing\|POS=NOUN\|Typo=Yes`, `Case=Ade\|InfForm=3\|Number=Sing\|POS=VERB\|Typo=Yes\|VerbForm=Inf\|Voice=Act`, `Case=Par\|Degree=Sup\|Number=Plur\|POS=VERB\|PartForm=Past\|VerbForm=Part\|Voice=Act`, `Case=Par\|Derivation=Llinen,Vs\|Number=Sing\|POS=NOUN\|Person[psor]=3`, `Case=All\|NumType=Ord\|POS=ADJ`, `Case=All\|Degree=Pos\|Number=Sing\|POS=VERB\|PartForm=Agt\|Typo=Yes\|VerbForm=Part\|Voice=Act`, `Case=Tra\|Degree=Pos\|Number=Sing\|POS=VERB\|PartForm=Agt\|VerbForm=Part\|Voice=Act`, `Case=Par\|NumType=Card\|Number=Sing\|POS=ADJ`, `Case=Ela\|Derivation=Vs\|Number=Plur\|POS=NOUN\|Person[psor]=3`, `Case=Nom\|Clitic=Kin\|Number=Sing\|POS=PRON\|Reflex=Yes`, `Case=Tra\|Degree=Pos\|Number=Sing\|POS=ADJ\|Person[psor]=3`, `Case=Nom\|Degree=Pos\|Number=Sing\|POS=AUX\|PartForm=Past\|Typo=Yes\|VerbForm=Part\|Voice=Act`, `Abbr=Yes\|Case=Ine\|Degree=Pos\|Number=Sing\|POS=ADJ`, `Case=Gen\|Degree=Sup\|Number=Sing\|POS=ADJ\|Person[psor]=3`, `Case=Nom\|Number=Sing\|POS=PROPN\|Typo=Yes`, `Case=Ill\|Number=Plur\|POS=NOUN\|Person[psor]=3\|Typo=Yes`, `Case=Tra\|Derivation=Vs\|Number=Plur\|POS=NOUN`, `Case=Ess\|Derivation=Inen,Vs\|Number=Plur\|POS=NOUN`, `Case=Gen\|Clitic=Kin\|Number=Plur\|POS=PRON`, `Case=Ill\|Clitic=Kin\|Number=Plur\|POS=PRON`, `Case=Ine\|Number=Plur\|POS=PRON\|PronType=Ind\|Style=Coll`, `Case=Ill\|Number=Sing\|POS=PROPN\|Typo=Yes`, `Case=Ade\|Number=Plur\|POS=NOUN\|Typo=Yes`, `Mood=Ind\|Number=Plur\|POS=VERB\|Person=3\|Tense=Past\|Typo=Yes\|VerbForm=Fin\|Voice=Act`, `Case=Par\|Derivation=Llinen\|Number=Plur\|POS=ADJ`, `Case=Ess\|Derivation=Lainen\|Number=Sing\|POS=NOUN`, `Case=Tra\|Degree=Sup\|Derivation=Inen\|Number=Sing\|POS=ADJ`, `Case=Ela\|Number=Sing\|POS=PRON\|PronType=Rcp`, `Case=Gen\|Number=Plur\|POS=PRON\|Person=3\|PronType=Prs\|Typo=Yes`, `Case=All\|Degree=Pos\|Number=Sing\|POS=VERB\|PartForm=Pres\|VerbForm=Part\|Voice=Pass`, `Case=Ess\|Derivation=Inen\|Number=Sing\|POS=ADJ`, `Case=Tra\|Number=Plur\|POS=NOUN\|Person[psor]=3`, `Abbr=Yes\|Case=Gen\|Number=Sing\|POS=PROPN\|Typo=Yes`, `Number=Sing\|POS=PRON\|PronType=Rel`, `Case=Gen\|Degree=Sup\|Derivation=Lainen\|Number=Plur\|POS=ADJ`, `Case=Ess\|Derivation=Inen\|NumType=Ord\|Number=Plur\|POS=ADJ`, `Case=Tra\|Degree=Sup\|Number=Sing\|POS=ADJ\|Typo=Yes`, `Case=Gen\|Derivation=Llinen,Vs\|Number=Sing\|POS=NOUN\|Person[psor]=3`, `Degree=Pos\|Derivation=Lainen\|POS=ADJ`, `Abbr=Yes\|Case=Par\|NumType=Card\|Number=Sing\|POS=NUM`, `Case=Abl\|Degree=Pos\|Derivation=Ton\|Number=Plur\|POS=ADJ`, `Abbr=Yes\|Case=Par\|Number=Sing\|POS=PROPN`, `Case=Par\|Degree=Pos\|Number=Sing\|POS=VERB\|PartForm=Agt\|Typo=Yes\|VerbForm=Part\|Voice=Act`, `Case=Par\|Derivation=Tar\|Number=Plur\|POS=NOUN`, `Case=Nom\|Derivation=Vs\|Number=Sing\|POS=NOUN\|Person[psor]=3`, `Case=Ela\|Degree=Sup\|Derivation=Ton\|Number=Plur\|POS=ADJ`, `InfForm=1\|Number=Sing\|POS=VERB\|Typo=Yes\|VerbForm=Inf\|Voice=Act`, `Case=Ade\|Degree=Cmp\|Number=Plur\|POS=ADJ`, `Case=All\|Derivation=Ja\|Number=Plur\|POS=NOUN\|Person[psor]=3`, `Case=Abl\|Number=Plur\|POS=NOUN\|Typo=Yes`, `Case=All\|Number=Sing\|POS=NOUN\|Typo=Yes`, `Case=Ine\|Derivation=Minen\|Number=Sing\|POS=NOUN\|Person[psor]=3`, `Case=All\|Degree=Pos\|Number=Plur\|POS=VERB\|PartForm=Agt\|VerbForm=Part\|Voice=Act`, `Case=All\|Degree=Sup\|Number=Plur\|POS=ADJ`, `Case=Gen\|Derivation=Llinen\|Number=Sing\|POS=ADJ`, `Case=Gen\|Derivation=Ton,Vs\|Number=Sing\|POS=NOUN\|Person[psor]=3`, `Case=Ill\|Clitic=Kin\|Degree=Pos\|Derivation=Inen\|Number=Sing\|POS=ADJ`, `Case=Nom\|Degree=Pos\|Number=Sing\|POS=PROPN`, `Abbr=Yes\|Case=Nom\|Number=Sing\|POS=NOUN\|Person[psor]=3`, `Case=Ess\|Derivation=Ja\|Number=Plur\|POS=NOUN\|Person[psor]=3`, `Case=Ine\|Clitic=Kin\|Number=Plur\|POS=PRON\|PronType=Dem`, `Case=Nom\|Number=Plur\|POS=PROPN\|Person[psor]=3`, `Case=Abl\|Number=Plur\|POS=PRON\|PronType=Rel`, `Case=Par\|POS=SYM`, `Case=Ine\|Derivation=Ton,Vs\|Number=Sing\|POS=NOUN`, `Case=Ine\|Degree=Pos\|Number=Plur\|POS=VERB\|PartForm=Past\|VerbForm=Part\|Voice=Act`, `Case=Ine\|Number=Sing\|POS=PROPN\|Typo=Yes`, `Mood=Pot\|POS=VERB\|Typo=Yes\|VerbForm=Fin\|Voice=Pass`, `Case=Ela\|Degree=Pos\|Number=Sing\|POS=VERB\|PartForm=Past\|Typo=Yes\|VerbForm=Part\|Voice=Pass`, `Case=Nom\|Derivation=Minen\|Number=Sing\|POS=NOUN\|Person[psor]=3\|Style=Coll`, `Case=Par\|Number=Plur\|POS=NOUN\|Person[psor]=3\|Style=Coll`, `Case=Nom\|Clitic=Kin\|Number=Sing\|POS=NOUN\|Person[psor]=3`, `Case=Tra\|Number=Sing\|POS=PRON\|PronType=Int`, `Case=Par\|Degree=Pos\|Number=Sing\|POS=VERB\|PartForm=Past\|Typo=Yes\|VerbForm=Part\|Voice=Act`, `Case=Tra\|Number=Sing\|POS=PRON\|PronType=Dem`, `Case=Ade\|Number=Sing\|POS=NUM`, `Case=Par\|Derivation=Ton\|Number=Plur\|POS=NOUN`, `Case=Ine\|Degree=Pos\|Derivation=Lainen\|Number=Sing\|POS=ADJ\|Typo=Yes`, `Case=Ine\|Derivation=Ton,Vs\|Number=Plur\|POS=NOUN`, `Case=Gen\|Clitic=Kin\|Degree=Pos\|Number=Plur\|POS=PRON\|PronType=Ind` |
| **`parser`** | `ROOT`, `acl`, `acl:relcl`, `advcl`, `advmod`, `amod`, `appos`, `aux`, `aux:pass`, `case`, `cc`, `cc:preconj`, `ccomp`, `compound`, `compound:nn`, `compound:prt`, `conj`, `cop`, `cop:own`, `csubj`, `csubj:cop`, `dep`, `det`, `discourse`, `fixed`, `flat`, `flat:foreign`, `flat:name`, `goeswith`, `mark`, `nmod`, `nmod:gobj`, `nmod:gsubj`, `nmod:poss`, `nsubj`, `nsubj:cop`, `nummod`, `obj`, `obl`, `orphan`, `parataxis`, `punct`, `vocative`, `xcomp`, `xcomp:ds` |
| **`experimental_edit_tree_lemmatizer`** | `3`, `4`, `7`, `10`, `13`, `15`, `19`, `21`, `23`, `25`, `29`, `35`, `40`, `41`, `45`, `48`, `50`, `52`, `55`, `57`, `59`, `61`, `64`, `67`, `71`, `73`, `75`, `77`, `80`, `85`, `86`, `90`, `92`, `94`, `96`, `99`, `101`, `103`, `104`, `106`, `109`, `111`, `112`, `114`, `117`, `120`, `123`, `127`, `130`, `134`, `136`, `138`, `141`, `145`, `147`, `149`, `151`, `153`, `157`, `158`, `160`, `161`, `163`, `166`, `168`, `170`, `173`, `175`, `177`, `179`, `181`, `184`, `187`, `191`, `194`, `198`, `199`, `201`, `202`, `205`, `207`, `210`, `212`, `214`, `217`, `218`, `222`, `224`, `226`, `228`, `230`, `232`, `234`, `236`, `239`, `241`, `243`, `246`, `249`, `251`, `253`, `254`, `256`, `258`, `260`, `261`, `264`, `267`, `269`, `271`, `273`, `274`, `278`, `281`, `282`, `284`, `286`, `289`, `291`, `292`, `294`, `299`, `301`, `304`, `306`, `308`, `310`, `313`, `316`, `317`, `320`, `322`, `327`, `329`, `334`, `336`, `338`, `340`, `344`, `345`, `348`, `350`, `352`, `354`, `357`, `359`, `362`, `363`, `365`, `366`, `367`, `368`, `369`, `370`, `372`, `375`, `377`, `380`, `382`, `385`, `387`, `389`, `390`, `392`, `395`, `397`, `400`, `403`, `406`, `408`, `411`, `413`, `415`, `417`, `419`, `421`, `423`, `425`, `428`, `431`, `433`, `436`, `438`, `440`, `442`, `443`, `446`, `448`, `451`, `453`, `455`, `457`, `459`, `461`, `463`, `466`, `469`, `471`, `473`, `476`, `477`, `481`, `482`, `484`, `488`, `490`, `491`, `495`, `498`, `501`, `503`, `506`, `509`, `513`, `515`, `517`, `519`, `521`, `523`, `526`, `528`, `529`, `531`, `533`, `535`, `537`, `538`, `539`, `542`, `544`, `546`, `548`, `551`, `553`, `556`, `558`, `562`, `564`, `566`, `568`, `570`, `574`, `576`, `578`, `582`, `584`, `586`, `588`, `591`, `593`, `595`, `596`, `598`, `600`, `601`, `602`, `604`, `606`, `608`, `609`, `435`, `610`, `611`, `614`, `616`, `617`, `620`, `622`, `625`, `626`, `628`, `630`, `631`, `633`, `635`, `637`, `638`, `640`, `641`, `643`, `645`, `646`, `650`, `651`, `653`, `655`, `657`, `659`, `660`, `664`, `667`, `671`, `672`, `674`, `677`, `681`, `683`, `684`, `686`, `687`, `689`, `691`, `693`, `695`, `698`, `701`, `703`, `705`, `707`, `710`, `713`, `716`, `720`, `723`, `725`, `726`, `730`, `731`, `734`, `736`, `738`, `739`, `741`, `744`, `748`, `749`, `750`, `752`, `755`, `757`, `759`, `761`, `762`, `763`, `767`, `769`, `772`, `774`, `777`, `780`, `781`, `782`, `784`, `785`, `787`, `788`, `790`, `792`, `793`, `794`, `797`, `799`, `802`, `803`, `805`, `807`, `810`, `388`, `811`, `813`, `815`, `817`, `821`, `823`, `824`, `826`, `828`, `829`, `831`, `832`, `833`, `834`, `836`, `838`, `840`, `842`, `844`, `845`, `847`, `849`, `852`, `855`, `857`, `861`, `863`, `865`, `867`, `868`, `870`, `872`, `875`, `876`, `878`, `879`, `881`, `883`, `886`, `888`, `890`, `891`, `892`, `895`, `896`, `898`, `900`, `903`, `907`, `910`, `912`, `914`, `915`, `917`, `920`, `921`, `924`, `926`, `928`, `930`, `932`, `934`, `937`, `940`, `941`, `943`, `944`, `945`, `946`, `947`, `949`, `952`, `954`, `956`, `960`, `963`, `966`, `969`, `971`, `972`, `974`, `977`, `978`, `981`, `983`, `985`, `987`, `990`, `991`, `993`, `995`, `996`, `999`, `1002`, `1006`, `1008`, `1011`, `1013`, `1016`, `1018`, `1020`, `1022`, `1024`, `1026`, `1028`, `1030`, `1032`, `1034`, `1036`, `1038`, `1040`, `1043`, `1044`, `1046`, `1048`, `1051`, `1054`, `1056`, `1057`, `1060`, `1062`, `1064`, `1066`, `1067`, `1069`, `1071`, `1074`, `1077`, `1078`, `1081`, `1084`, `1086`, `1087`, `1089`, `1091`, `1093`, `1095`, `1096`, `1098`, `1100`, `1101`, `1103`, `1104`, `1106`, `1108`, `1111`, `1114`, `1116`, `1118`, `1119`, `1121`, `1123`, `1125`, `1127`, `1128`, `1133`, `1136`, `1139`, `1141`, `1143`, `1146`, `1149`, `1150`, `1151`, `1153`, `1156`, `1157`, `1159`, `1161`, `1163`, `1167`, `1169`, `1171`, `1172`, `1174`, `1176`, `1180`, `1181`, `1184`, `1186`, `1189`, `1190`, `1193`, `1195`, `1197`, `1199`, `1202`, `1204`, `1205`, `1206`, `1207`, `1209`, `1210`, `1212`, `1214`, `1218`, `1220`, `1222`, `1224`, `1225`, `1227`, `1229`, `1230`, `1232`, `1235`, `1236`, `1238`, `1239`, `1241`, `1245`, `1246`, `1248`, `1249`, `1251`, `1252`, `1253`, `1255`, `1256`, `1259`, `1260`, `1262`, `1263`, `1265`, `1268`, `1269`, `1271`, `1272`, `1275`, `1276`, `1277`, `1279`, `1280`, `1283`, `1285`, `1286`, `1289`, `1291`, `1294`, `1295`, `1298`, `1300`, `1302`, `1304`, `1306`, `1308`, `1311`, `1312`, `1313`, `1314`, `1316`, `1317`, `1318`, `1320`, `1322`, `1323`, `1325`, `1327`, `1330`, `1332`, `1334`, `1339`, `1341`, `1344`, `1345`, `1347`, `1349`, `1352`, `1355`, `1356`, `1360`, `1363`, `1365`, `1367`, `1368`, `1369`, `1372`, `1374`, `1376`, `1377`, `1379`, `1380`, `1382`, `1384`, `1386`, `1389`, `1391`, `1392`, `1393`, `1396`, `1399`, `1400`, `1401`, `1403`, `1405`, `1406`, `1408`, `1411`, `1414`, `1416`, `1417`, `1419`, `1420`, `1422`, `1423`, `1425`, `1428`, `1430`, `1433`, `1436`, `1437`, `1439`, `1442`, `1444`, `1446`, `1449`, `1451`, `1454`, `1456`, `1457`, `1459`, `1461`, `1462`, `1464`, `1465`, `1467`, `1469`, `1470`, `1472`, `1475`, `1477`, `1478`, `1480`, `1482`, `1483`, `1484`, `1486`, `1487`, `1489`, `1491`, `1492`, `1494`, `1497`, `1498`, `1499`, `1501`, `1503`, `1506`, `1507`, `1511`, `1513`, `1514`, `1517`, `1519`, `1521`, `1523`, `1526`, `1528`, `1531`, `1533`, `1535`, `1536`, `1538`, `1540`, `1542`, `1545`, `1547`, `1549`, `1550`, `1551`, `1552`, `1554`, `1555`, `1556`, `1558`, `1559`, `1560`, `1562`, `1563`, `1564`, `1566`, `1568`, `1570`, `1575`, `1577`, `1578`, `1579`, `1580`, `1582`, `1585`, `1586`, `1589`, `1590`, `1592`, `1594`, `1598`, `1600`, `1601`, `1603`, `1604`, `1605`, `1607`, `1609`, `1610`, `1613`, `1616`, `1618`, `1619`, `1621`, `1622`, `1624`, `1627`, `1629`, `1631`, `1633`, `1635`, `1638`, `1640`, `1643`, `1646`, `1647`, `1649`, `1651`, `1654`, `1655`, `1658`, `1662`, `1663`, `1666`, `1669`, `1671`, `1673`, `1676`, `1679`, `1682`, `1685`, `1686`, `1688`, `1690`, `1693`, `1695`, `1698`, `1700`, `1702`, `1704`, `1705`, `1707`, `1710`, `1713`, `1715`, `1717`, `1719`, `1721`, `1724`, `1725`, `1727`, `1729`, `1730`, `1731`, `1732`, `1734`, `1736`, `1737`, `1738`, `1741`, `1744`, `1746`, `1747`, `1749`, `1751`, `1752`, `1753`, `1754`, `1756`, `1758`, `1761`, `1762`, `1764`, `1765`, `1766`, `1767`, `1769`, `1772`, `1774`, `1777`, `1778`, `1779`, `1781`, `1782`, `1784`, `1787`, `1790`, `1792`, `1794`, `1798`, `1800`, `1803`, `1805`, `1807`, `1809`, `1810`, `1811`, `1813`, `1815`, `1816`, `1820`, `1823`, `1824`, `1827`, `1830`, `1832`, `1833`, `1834`, `1835`, `1836`, `1838`, `1841`, `1842`, `1843`, `1845`, `1847`, `1849`, `1853`, `1856`, `1858`, `1860`, `1861`, `1863`, `1864`, `1865`, `1866`, `1867`, `1869`, `1870`, `1874`, `1875`, `1876`, `1879`, `1881`, `1882`, `1883`, `1886`, `1887`, `1890`, `1891`, `1893`, `1896`, `1898`, `1901`, `1903`, `1906`, `1908`, `1910`, `1912`, `1914`, `1917`, `1919`, `1921`, `1923`, `1926`, `1927`, `1928`, `1930`, `1931`, `1933`, `1935`, `1937`, `1939`, `1941`, `1943`, `1944`, `1946`, `1948`, `1950`, `1952`, `1955`, `1956`, `1957`, `1958`, `1960`, `1962`, `1963`, `1965`, `1967`, `1969`, `1970`, `1972`, `1973`, `1974`, `1975`, `1976`, `1978`, `1981`, `1984`, `1986`, `1989`, `1992`, `1994`, `1995`, `1996`, `1998`, `2000`, `2003`, `2004`, `2006`, `2007`, `2008`, `2009`, `2011`, `2013`, `2016`, `2017`, `2019`, `2020`, `2022`, `2025`, `2028`, `2029`, `2031`, `2034`, `2035`, `2038`, `2041`, `2043`, `2045`, `2047`, `2049`, `2051`, `2052`, `2055`, `2057`, `2058`, `2060`, `2062`, `2063`, `2065`, `2067`, `2069`, `2071`, `2073`, `2074`, `2076`, `2078`, `2082`, `2084`, `2086`, `2088`, `2089`, `2090`, `2092`, `2093`, `2094`, `2096`, `2098`, `2100`, `2102`, `2104`, `2107`, `2109`, `2110`, `2111`, `2112`, `2114`, `2115`, `2116`, `2117`, `2119`, `2121`, `2124`, `2125`, `2126`, `2129`, `2130`, `2132`, `2135`, `2137`, `2140`, `2142`, `2144`, `2146`, `2147`, `2148`, `2150`, `2151`, `2152`, `2153`, `2156`, `2159`, `2161`, `2163`, `2164`, `2165`, `2167`, `2169`, `2170`, `2171`, `2172`, `2173`, `2176`, `2178`, `2180`, `2182`, `2183`, `2186`, `2188`, `2191`, `2193`, `2195`, `2197`, `2198`, `2199`, `2202`, `2204`, `2206`, `2208`, `2210`, `2211`, `2214`, `2218`, `2219`, `2222`, `2224`, `2226`, `2227`, `2228`, `2229`, `2232`, `2234`, `2237`, `2239`, `2240`, `2242`, `2243`, `2245`, `2246`, `2247`, `2248`, `2249`, `2252`, `2253`, `2256`, `2258`, `2261`, `2263`, `2265`, `2269`, `2271`, `2273`, `2274`, `2276`, `2277`, `2279`, `2282`, `2284`, `2287`, `2290`, `2292`, `2293`, `2294`, `2296`, `2297`, `2300`, `2301`, `2303`, `2305`, `2308`, `2310`, `2312`, `2313`, `2315`, `2316`, `2317`, `2319`, `2321`, `2322`, `2324`, `2325`, `2326`, `2330`, `2332`, `2334`, `2335`, `2338`, `2340`, `2341`, `2343`, `2345`, `2346`, `2348`, `2349`, `2350`, `2352`, `2354`, `2356`, `2358`, `2360`, `2362`, `2364`, `2368`, `2371`, `2376`, `2377`, `2379`, `2381`, `2382`, `2383`, `2384`, `2385`, `2387`, `2388`, `2389`, `2390`, `2392`, `2393`, `2394`, `2395`, `2396`, `2399`, `2401`, `2403`, `2405`, `2408`, `2409`, `2411`, `2414`, `2416`, `2418`, `2421`, `2423`, `2425`, `2428`, `2429`, `2430`, `2432`, `2435`, `2437`, `2439`, `2441`, `2445`, `2448`, `2449`, `2451`, `2452`, `2453`, `2454`, `2456`, `2459`, `2462`, `2463`, `2464`, `2466`, `2467`, `2469`, `2472`, `2475`, `2476`, `2478`, `2481`, `2483`, `2485`, `2488`, `2490`, `2493`, `2497`, `2499`, `2502`, `2504`, `2506`, `2509`, `2511`, `2513`, `2514`, `2516`, `2520`, `2523`, `2526`, `2527`, `2530`, `2531`, `2533`, `2534`, `2536`, `2537`, `2539`, `2540`, `2543`, `2546`, `2548`, `2551`, `2554`, `2555`, `2557`, `2559`, `2560`, `2562`, `2563`, `2566`, `2568`, `2570`, `2572`, `2575`, `2578`, `2580`, `2583`, `2586`, `2588`, `2590`, `2593`, `2596`, `2598`, `2601`, `2603`, `2605`, `2608`, `2611`, `2614`, `2615`, `2617`, `2618`, `2620`, `2623`, `2626`, `2629`, `2631`, `2633`, `2635`, `2637`, `2639`, `2640`, `2642`, `2644`, `2646`, `2648`, `2652`, `2655`, `2657`, `2660`, `2662`, `2663`, `2666`, `2668`, `2669`, `2672`, `2676`, `2679`, `2682`, `2685`, `2687`, `2689`, `2691`, `2693`, `2695`, `2697`, `2699`, `2702`, `2703`, `2705`, `2707`, `2709`, `2711`, `2713`, `2714`, `2720`, `2722`, `2724`, `2726`, `2728`, `2730`, `2732`, `2734`, `2736`, `2738`, `2740`, `2743`, `2746`, `2749`, `2753`, `2755`, `2757`, `2759`, `2760`, `2762`, `2765`, `2766`, `2767`, `2769`, `2771`, `2772`, `2775`, `2778`, `2781`, `2783`, `2786`, `2788`, `2792`, `2793`, `2796`, `2798`, `2799`, `2802`, `2805`, `2806`, `2809`, `2810`, `2813`, `2814`, `2817`, `2820`, `2822`, `2823`, `2824`, `2825`, `2827`, `2829`, `2831`, `2833`, `2835`, `2837`, `2839`, `2842`, `2844`, `2845`, `2846`, `2849`, `2851`, `2853`, `2855`, `2857`, `2860`, `2862`, `2864`, `2865`, `2867`, `2869`, `2871`, `2874`, `2875`, `2877`, `2879`, `2880`, `2881`, `2882`, `2883`, `2886`, `2888`, `2889`, `2890`, `2892`, `2893`, `2894`, `2896`, `2899`, `2900`, `2902`, `2903`, `2904`, `2905`, `2906`, `2907`, `2909`, `2912`, `2915`, `2917`, `2918`, `2920`, `2922`, `2924`, `2925`, `2926`, `2928`, `2930`, `2932`, `2936`, `2938`, `2940`, `2943`, `2944`, `2947`, `2948`, `2950`, `2951`, `2954`, `2956`, `2957`, `2959`, `2961`, `2962`, `2963`, `2964`, `2965`, `2966`, `2968`, `2969`, `2972`, `2974`, `2975`, `2978`, `2979`, `2982`, `2985`, `2986`, `2988`, `2989`, `2991`, `2993`, `2994`, `2996`, `2999`, `3000`, `3002`, `3005`, `3007`, `3008`, `3010`, `3011`, `3012`, `3014`, `3016`, `3018`, `3020`, `3021`, `3023`, `3024`, `3027`, `3029`, `3032`, `3034`, `3035`, `3037`, `3040`, `3041`, `3044`, `3047`, `3048`, `3049`, `3052`, `3054`, `3056`, `3058`, `3060`, `3062`, `3064`, `3066`, `3067`, `3070`, `3071`, `3072`, `3074`, `3076`, `3077`, `3080`, `3082`, `3085`, `3088`, `3089`, `3092`, `3095`, `3097`, `3098`, `3100`, `3102`, `3104`, `3107`, `3108`, `3110`, `3113`, `3115`, `3117`, `3121`, `3122`, `3123`, `3125`, `3127`, `3128`, `3131`, `3134`, `3135`, `3136`, `3138`, `3139`, `3141`, `3142`, `3143`, `3145`, `3146`, `3147`, `3148`, `3151`, `3152`, `3154`, `3155`, `3158`, `3160`, `3163`, `3164`, `3165`, `3167`, `3168`, `3170`, `3171`, `3173`, `3174`, `3175`, `3176`, `3178`, `3179`, `3180`, `3182`, `3184`, `3186`, `3188`, `3190`, `3193`, `3195`, `3196`, `3198`, `3200`, `3202`, `3203`, `3205`, `3207`, `3209`, `3211`, `3213`, `3215`, `3217`, `3220`, `3221`, `3224`, `3225`, `3226`, `3229`, `3231`, `3233`, `3234`, `3237`, `3239`, `3240`, `3241`, `3242`, `3243`, `3244`, `3246`, `3249`, `3251`, `3252`, `3254`, `3256`, `3258`, `3259`, `3260`, `3262`, `3264`, `3267`, `3268`, `3269`, `3270`, `3271`, `3273`, `3275`, `3278`, `3280`, `3281`, `3282`, `3285`, `3286`, `3288`, `3290`, `3292`, `3295`, `3296`, `3298`, `3300`, `3301`, `3302`, `3304`, `3306`, `3309`, `3311`, `3312`, `3314`, `3315`, `3317`, `3319`, `3321`, `3324`, `3325`, `3327`, `3329`, `3331`, `3333`, `3335`, `3336`, `3338`, `3341`, `3343`, `3345`, `3347`, `3351`, `3352`, `3354`, `3356`, `3358`, `3359`, `3361`, `3363`, `3366`, `3367`, `3370`, `3371`, `3372`, `3373`, `3374`, `3375`, `3377`, `3381`, `3383`, `3384`, `3386`, `3388`, `3391`, `3394`, `3395`, `3398`, `3400`, `3402`, `3403`, `3405`, `3406`, `3407`, `3409`, `3411`, `3414`, `3417`, `3418`, `3419`, `3420`, `3422`, `3424`, `3426`, `3427`, `3429`, `3430`, `3433`, `3434`, `3435`, `3437`, `3442`, `3446`, `3447`, `3449`, `3450`, `3452`, `3453`, `3454`, `3457`, `3459`, `3461`, `3464`, `3466`, `3467`, `3469`, `3470`, `3472`, `3475`, `3477`, `3479`, `3482`, `3484`, `3486`, `3487`, `3488`, `3490`, `3491`, `3493`, `3496`, `3498`, `3501`, `3503`, `3505`, `3506`, `3508`, `3510`, `3511`, `3513`, `3515`, `3516`, `3519`, `3522`, `3524`, `3526`, `3528`, `3530`, `3532`, `3533`, `3535`, `3538`, `3540`, `3541`, `3543`, `3544`, `3546`, `3548`, `3550`, `3552`, `3553`, `3556`, `3557`, `3558`, `3559`, `3561`, `3562`, `3563`, `3564`, `3567`, `3569`, `3571`, `3572`, `3573`, `3574`, `3576`, `3578`, `3580`, `3583`, `3584`, `3586`, `3589`, `3590`, `3592`, `3593`, `3596`, `3598`, `3599`, `3601`, `3603`, `3605`, `3607`, `3608`, `3609`, `3611`, `3613`, `3614`, `3615`, `3617`, `3619`, `3620`, `3622`, `3624`, `3625`, `3626`, `3628`, `3630`, `3633`, `3635`, `3636`, `3639`, `3640`, `3642`, `3645`, `3647`, `3648`, `3650`, `3652`, `3654`, `3655`, `3657`, `3660`, `3662`, `3663`, `3664`, `3665`, `3666`, `3670`, `3671`, `3673`, `3675`, `3677`, `3679`, `3681`, `3684`, `3686`, `3687`, `3690`, `3692`, `3694`, `3696`, `3698`, `3700`, `3701`, `3703`, `3705`, `3708`, `3709`, `3712`, `3715`, `3716`, `3719`, `3721`, `3722`, `3723`, `3724`, `3725`, `3727`, `3728`, `3730`, `3731`, `3735`, `3737`, `3740`, `3742`, `3743`, `3744`, `3745`, `3746`, `3747`, `3749`, `3750`, `3752`, `3754`, `3757`, `3758`, `3759`, `3760`, `3763`, `3765`, `3766`, `3768`, `3771`, `3772`, `3774`, `3775`, `3777`, `3779`, `3781`, `3782`, `3784`, `3786`, `3787`, `3788`, `3789`, `3790`, `3791`, `3792`, `3794`, `3795`, `3797`, `3798`, `3799`, `3801`, `3803`, `3805`, `3808`, `3811`, `3812`, `3813`, `3815`, `3816`, `3818`, `2885`, `3820`, `3822`, `3823`, `3826`, `3828`, `3830`, `3833`, `3834`, `3837`, `3840`, `3842`, `3843`, `3845`, `3848`, `3851`, `3852`, `3853`, `3856`, `3859`, `3860`, `3861`, `3862`, `3863`, `3864`, `3866`, `3867`, `3868`, `3870`, `3871`, `3872`, `3874`, `3876`, `3879`, `3881`, `3883`, `3886`, `3888`, `3890`, `3891`, `3893`, `3895`, `3897`, `3898`, `3900`, `3902`, `3904`, `3905`, `3908`, `3909`, `3910`, `3912`, `3913`, `3914`, `3917`, `3918`, `3920`, `3922`, `3923`, `3924`, `3926`, `3927`, `3928`, `3930`, `3933`, `3936`, `3937`, `3939`, `3942`, `3944`, `3945`, `3947`, `3950`, `3952`, `3955`, `3956`, `3957`, `3958`, `3959`, `3960`, `3961`, `3962`, `3963`, `3964`, `3965`, `3966`, `3967`, `3969`, `3971`, `3973`, `3976`, `3978`, `3979`, `3980`, `3981`, `3982`, `3984`, `3985`, `3989`, `3992`, `3993`, `3995`, `3996`, `3998`, `4000`, `4003`, `4004`, `4005`, `4007`, `4008`, `4011`, `4013`, `4014`, `4015`, `4016`, `4018`, `4020`, `4021`, `4022`, `4024`, `4025`, `4026`, `4028`, `4029`, `4032`, `4033`, `4034`, `4036`, `4039`, `4040`, `4042`, `4044`, `4046`, `4047`, `4049`, `4051`, `4052`, `4054`, `4055`, `4056`, `4057`, `4060`, `4064`, `4066`, `4068`, `4069`, `4070`, `4071`, `4072`, `4073`, `4074`, `4076`, `4078`, `4081`, `4082`, `4083`, `4084`, `4085`, `4087`, `4089`, `4091`, `4093`, `4095`, `4096`, `4098`, `4102`, `4103`, `4105`, `4106`, `4107`, `4110`, `4111`, `4112`, `4113`, `4115`, `4119`, `4121`, `4122`, `4123`, `4124`, `4126`, `4127`, `4129`, `4130`, `4134`, `4136`, `4138`, `4142`, `4143`, `4144`, `4145`, `4148`, `4150`, `4151`, `4153`, `4155`, `4156`, `4158`, `4159`, `4161`, `4162`, `4163`, `4165`, `4166`, `4169`, `4170`, `4172`, `4173`, `4174`, `4175`, `4177`, `4178`, `4180`, `4182`, `4183`, `4185`, `4187`, `4189`, `4191`, `4192`, `4194`, `4195`, `4196`, `4198`, `4200`, `4202`, `4203`, `4204`, `4205`, `4207`, `4209`, `4211`, `4213`, `4215`, `4216`, `4219`, `4221`, `4222`, `4223`, `4224`, `4227`, `4229`, `4232`, `4233`, `4234`, `4236`, `4238`, `4239`, `4240`, `4241`, `4243`, `4245`, `4247`, `4250`, `4251`, `4254`, `4255`, `4256`, `4258`, `4262`, `4265`, `4268`, `4271`, `4273`, `4275`, `4277`, `4278`, `4279`, `4281`, `4283`, `4285`, `4286`, `4288`, `4291`, `4293`, `4295`, `4297`, `4299`, `4300`, `4303`, `4306`, `4309`, `4312`, `4314`, `4315`, `4318`, `4320`, `4324`, `4326`, `4328`, `4330`, `4331`, `4334`, `4336`, `4338`, `4342`, `4343`, `4345`, `4346`, `4347`, `4348`, `4349`, `4350`, `4352`, `4356`, `4359`, `4361`, `4362`, `4363`, `4364`, `4369`, `4370`, `4372`, `4374`, `4376`, `4380`, `4382`, `4383`, `4384`, `4388`, `4391`, `4392`, `4394`, `4395`, `4396`, `4398`, `4400`, `4402`, `4404`, `4405`, `4407`, `4409`, `4410`, `4411`, `4414`, `4416`, `4418`, `4419`, `4421`, `4423`, `4425`, `4426`, `4428`, `4429`, `4431`, `4432`, `4434`, `4437`, `4438`, `4439`, `4441`, `4442`, `4443`, `4445`, `4446`, `4449`, `4450`, `4452`, `4454`, `4456`, `4457`, `4458`, `4459`, `4462`, `4463`, `4464`, `4465`, `4466`, `4469`, `4472`, `4475`, `4478`, `4481`, `4482`, `4484`, `4485`, `4487`, `4489`, `4492`, `4493`, `4496`, `4498`, `4499`, `4500`, `4502`, `4503`, `4505`, `4506`, `4508`, `4510`, `4511`, `4512`, `4514`, `4515`, `4518`, `4519`, `4521`, `4524`, `4526`, `4527`, `4528`, `4531`, `4534`, `4537`, `4539`, `4541`, `4542`, `4544`, `4546`, `4549`, `4551`, `4552`, `4556`, `4558`, `4561`, `4564`, `4566`, `4568`, `4569`, `4572`, `4574`, `4575`, `4576`, `4577`, `4578`, `4580`, `4582`, `4583`, `4585`, `4587`, `4589`, `4591`, `4593`, `4594`, `4596`, `4597`, `4600`, `4601`, `4602`, `4603`, `4605`, `4606`, `4608`, `4611`, `4614`, `4615`, `4617`, `4620`, `4623`, `4625`, `4626`, `4627`, `4631`, `4632`, `4633`, `4634`, `4637`, `4638`, `4639`, `4642`, `4643`, `4646`, `4648`, `4650`, `4651`, `4653`, `4655`, `4656`, `4657`, `4658`, `4659`, `4661`, `4664`, `4666`, `4668`, `4669`, `4670`, `4671`, `4673`, `4674`, `4677`, `4679`, `4680`, `4683`, `4684`, `4685`, `4687`, `4688`, `4690`, `4691`, `4693`, `4694`, `4697`, `4698`, `4699`, `4701`, `4702`, `4705`, `4706`, `4707`, `4709`, `4710`, `4711`, `4714`, `4715`, `4717`, `4718`, `4720`, `4722`, `4726`, `4728`, `4730`, `4734`, `4736`, `4737`, `4738`, `4740`, `4743`, `4745`, `4747`, `4748`, `4749`, `4751`, `4752`, `4754`, `4756`, `4759`, `4760`, `4761`, `4763`, `4764`, `4765`, `4769`, `4770`, `4773`, `4775`, `4776`, `4777`, `4779`, `4782`, `4783`, `4784`, `4787`, `4789`, `4790`, `4791`, `4792`, `4794`, `4795`, `4796`, `4797`, `4798`, `4801`, `4802`, `4803`, `4805`, `4807`, `4811`, `4812`, `4814`, `4817`, `4818`, `4819`, `4821`, `4824`, `4825`, `4826`, `4829`, `4831`, `4833`, `4834`, `4835`, `4837`, `4839`, `4840`, `4842`, `4844`, `4846`, `4848`, `4849`, `4852`, `4854`, `4856`, `4857`, `4860`, `4861`, `4862`, `4863`, `4866`, `4867`, `4869`, `4871`, `4872`, `4875`, `4877`, `4879`, `4881`, `4886`, `4887`, `4889`, `4890`, `4892`, `4893`, `4896`, `4897`, `4898`, `4900`, `4901`, `4904`, `4905`, `4907`, `4909`, `4910`, `4912`, `4914`, `4916`, `4919`, `4922`, `4924`, `4926`, `4927`, `4929`, `4930`, `4933`, `4934`, `4936`, `4938`, `4940`, `4943`, `4946`, `4948`, `4949`, `4950`, `4951`, `4952`, `4954`, `4955`, `4958`, `4960`, `4962`, `4964`, `4965`, `4967`, `4970`, `4972`, `4973`, `4975`, `4978`, `4981`, `4983`, `4984`, `4986`, `4987`, `4989`, `4990`, `4991`, `4992`, `4993`, `4994`, `4995`, `4998`, `4999`, `5000`, `5002`, `5003`, `5006`, `5007`, `5008`, `5010`, `5011`, `5014`, `5017`, `5019`, `5020`, `5023`, `5024`, `5026`, `5028`, `5029`, `5031`, `5033`, `5034`, `5035`, `5036`, `5037`, `5039`, `5041`, `5043`, `5046`, `5049`, `5051`, `5053`, `5054`, `5056`, `5059`, `5062`, `5063`, `5065`, `5067`, `5068`, `5069`, `5072`, `5075`, `5076`, `5077`, `5078`, `5079`, `5081`, `5082`, `5085`, `5088`, `5089`, `5090`, `5091`, `5093`, `5096`, `5098`, `5100`, `5102`, `5103`, `5104`, `5105`, `5106`, `5107`, `5109`, `5111`, `5112`, `5113`, `5115`, `5116`, `5117`, `5119`, `5121`, `5122`, `5123`, `5125`, `5126`, `5127`, `5128`, `5130`, `5132`, `5133`, `5135`, `5136`, `5137`, `5139`, `5141`, `5143`, `5144`, `5147`, `5148`, `5150`, `5153`, `5154`, `5157`, `5159`, `5161`, `5163`, `5165`, `5169`, `5171`, `5172`, `5173`, `5175`, `5178`, `5179`, `5181`, `5185`, `5186`, `5188`, `5190`, `5193`, `5195`, `5196`, `5199`, `5202`, `5203`, `5205`, `5207`, `5209`, `5211`, `5212`, `5214`, `5216`, `5217`, `5220`, `5222`, `5223`, `5224`, `5227`, `5228`, `5230`, `5231`, `5232`, `5233`, `5235`, `5237`, `5238`, `5241`, `5243`, `5244`, `5245`, `5248`, `5250`, `5252`, `5254`, `5255`, `5256`, `5259`, `5260`, `5262`, `5266`, `5269`, `5270`, `5272`, `5273`, `5276`, `5277`, `5278`, `5280`, `5283`, `5284`, `5285`, `5286`, `5287`, `5289`, `5290`, `5293`, `5296`, `5299`, `5300`, `5301`, `5302`, `5304`, `5306`, `5308`, `5309`, `5310`, `5313`, `5314`, `5315`, `5316`, `5319`, `5320`, `5321`, `5324`, `5326`, `5327`, `5329`, `5332`, `5333`, `5335`, `5337`, `5339`, `5341`, `5343`, `5345`, `5347`, `5349`, `5350`, `5351`, `5354`, `5355`, `5356`, `5357`, `5358`, `5360`, `5361`, `5362`, `5364`, `5365`, `5369`, `5371`, `5374`, `5375`, `5377`, `5380`, `5383`, `5385`, `5386`, `5387`, `5388`, `5390`, `5392`, `5394`, `5396`, `5398`, `5399`, `5400`, `5402`, `5405`, `5409`, `5410`, `5412`, `5413`, `5414`, `5415`, `5418`, `5420`, `5423`, `5425`, `5426`, `5427`, `5428`, `5431`, `5432`, `5434`, `5436`, `5438`, `5439`, `5441`, `5442`, `5445`, `5447`, `5450`, `5451`, `5452`, `5455`, `5457`, `5459`, `5462`, `5463`, `5465`, `5466`, `5467`, `5469`, `5470`, `5471`, `5474`, `5476`, `5478`, `5479`, `5480`, `5481`, `5483`, `5486`, `5488`, `5489`, `5490`, `5492`, `5495`, `5497`, `5498`, `5500`, `5501`, `5506`, `5508`, `5510`, `5511`, `5512`, `5515`, `5516`, `5517`, `5518`, `5519`, `5522`, `5524`, `5525`, `5527`, `5528`, `5530`, `5531`, `5532`, `5535`, `5536`, `5538`, `5539`, `5541`, `5543`, `5544`, `5546`, `5547`, `5549`, `5552`, `5555`, `5558`, `5559`, `5561`, `5562`, `5563`, `5564`, `5567`, `5568`, `5569`, `5571`, `5572`, `5574`, `5575`, `5577`, `5580`, `5583`, `5584`, `5585`, `5588`, `5590`, `5591`, `5593`, `5594`, `5595`, `5596`, `5597`, `5599`, `5602`, `5603`, `5604`, `5607`, `5609`, `5610`, `5611`, `5612`, `5613`, `5614`, `5616`, `5617`, `5621`, `5623`, `5625`, `5628`, `5630`, `5633`, `5636`, `5639`, `5642`, `5644`, `5645`, `5647`, `5649`, `5651`, `5653`, `5654`, `5655`, `5658`, `5659`, `5662`, `5664`, `5665`, `5667`, `5669`, `5670`, `5671`, `5673`, `5674`, `5676`, `5678`, `5680`, `5682`, `5684`, `5685`, `5687`, `5689`, `5691`, `5695`, `5696`, `5698`, `5699`, `5703`, `5704`, `5706`, `5709`, `5710`, `5711`, `5712`, `5714`, `5717`, `5719`, `5722`, `5723`, `5724`, `5726`, `5727`, `5728`, `5730`, `5733`, `5735`, `5736`, `5738`, `5739`, `5741`, `5743`, `5746`, `5747`, `5748`, `5750`, `5753`, `5756`, `5757`, `5758`, `5759`, `5761`, `5762`, `5765`, `5766`, `5768`, `5771`, `5772`, `5773`, `5776`, `5777`, `5778`, `5779`, `5781`, `5783`, `5784`, `5785`, `5789`, `5791`, `5793`, `5794`, `5797`, `5798`, `5800`, `5802`, `5803`, `5807`, `5808`, `5810`, `5813`, `5815`, `5818`, `5821`, `5823`, `5825`, `5826`, `5827`, `5828`, `5830`, `5831`, `5832`, `5835`, `5838`, `5839`, `5841`, `5842`, `5844`, `5846`, `5849`, `5851`, `5852`, `5854`, `5857`, `5858`, `5860`, `5861`, `5863`, `5864`, `5865`, `5867`, `5869`, `5871`, `5872`, `5873`, `5874`, `5875`, `5876`, `5877`, `5878`, `5879`, `5881`, `5884`, `5885`, `5887`, `5888`, `5889`, `5891`, `5892`, `5894`, `5895`, `5896`, `5898`, `5900`, `5902`, `5904`, `5906`, `5909`, `5911`, `5914`, `5915`, `5916`, `5917`, `5918`, `5919`, `5921`, `5923`, `5925`, `5927`, `5929`, `5931`, `5934`, `5937`, `5939`, `5940`, `5941`, `5943`, `5945`, `5946`, `5948`, `5950`, `5952`, `5954`, `5955`, `5956`, `5960`, `5961`, `5962`, `5965`, `5967`, `5969`, `5972`, `5973`, `5975`, `5976`, `5977`, `5978`, `5981`, `5982`, `5984`, `5986`, `5988`, `5990`, `5991`, `5993`, `5995`, `5998`, `6000`, `6002`, `6005`, `6007`, `6008`, `6009`, `6011`, `6013`, `6014`, `6015`, `6018`, `6019`, `6021`, `6024`, `6026`, `6028`, `6030`, `6031`, `6032`, `6034`, `6036`, `6037`, `6040`, `6042`, `6045`, `6046`, `6047`, `6048`, `6049`, `6050`, `6051`, `6053`, `6054`, `6055`, `6056`, `6058`, `6059`, `6061`, `6062`, `6064`, `6065`, `6067`, `6068`, `6069`, `6070`, `6072`, `6073`, `6074`, `6075`, `6077`, `6079`, `6082`, `6084`, `6085`, `6087`, `6089`, `6091`, `6093`, `6096`, `6098`, `6099`, `6101`, `6102`, `6104`, `6106`, `6108`, `6109`, `6110`, `6112`, `6114`, `6115`, `6118`, `6120`, `6122`, `6123`, `6125`, `6127`, `6129`, `6130`, `6132`, `6134`, `6135`, `6136`, `6137`, `6139`, `6140`, `6141`, `6145`, `6147`, `6149`, `6150`, `6151`, `6153`, `6154`, `6155`, `6157`, `6159`, `6161`, `6163`, `6164`, `6165`, `6166`, `6167`, `6170`, `6171`, `6173`, `6176`, `6178`, `6179`, `6182`, `6183`, `6185`, `6187`, `6188`, `6190`, `6191`, `6193`, `6194`, `6196`, `6197`, `6198`, `6199`, `6200`, `6201`, `6203`, `6205`, `6206`, `6207`, `6208`, `6209`, `6211`, `6213`, `6215`, `6216`, `6217`, `6219`, `6220`, `6222`, `6224`, `6226`, `6229`, `6232`, `6235`, `6238`, `6239`, `6242`, `6243`, `6245`, `6247`, `6248`, `6249`, `6252`, `6253`, `6254`, `6256`, `6257`, `6258`, `6260`, `6261`, `6262`, `6263`, `6265`, `6267`, `6269`, `6272`, `6273`, `6274`, `6275`, `6277`, `6278`, `6281`, `6283`, `6285`, `6287`, `6288`, `6289`, `6290`, `6291`, `6293`, `6295`, `6297`, `6298`, `6300`, `6302`, `6304`, `6307`, `6308`, `6310`, `6312`, `6314`, `6316`, `6318`, `6321`, `6323`, `6326`, `6328`, `6329`, `6330`, `6332`, `6333`, `6336`, `6338`, `6340`, `6342`, `6345`, `6346`, `6347`, `6349`, `6350`, `6352`, `6354`, `6357`, `6359`, `6363`, `6364`, `6366`, `6368`, `6369`, `6370`, `6374`, `6376`, `6377`, `6381`, `6384`, `6385`, `6387`, `6389`, `6391`, `6394`, `6395`, `6397`, `6398`, `6400`, `6401`, `6402`, `6403`, `6406`, `6407`, `6409`, `6412`, `6413`, `6414`, `6416`, `6418`, `6419`, `6421`, `6424`, `6426`, `6427`, `6428`, `6430`, `6431`, `6432`, `6433`, `6434`, `6436`, `6438`, `6440`, `6442`, `6443`, `6445`, `6447`, `6450`, `6452`, `6453`, `6454`, `6455`, `6456`, `6458`, `6460`, `6461`, `6462`, `6463`, `6464`, `6465`, `6466`, `6468`, `6469`, `6470`, `6471`, `6472`, `6473`, `6475`, `6476`, `6480`, `6482`, `6484`, `6486`, `6488`, `6491`, `6493`, `6495`, `6497`, `6498`, `6499`, `6500`, `6502`, `6504`, `6506`, `6508`, `6510`, `6511`, `6513`, `6516`, `6517`, `6519`, `6521`, `6523`, `6525`, `6527`, `6528`, `6530`, `6532`, `6533`, `6536`, `6539`, `6541`, `6542`, `6543`, `6544`, `6546`, `6547`, `6550`, `6552`, `6555`, `6556`, `6557`, `6558`, `6559`, `6561`, `6562`, `6563`, `6565`, `6566`, `6567`, `6570`, `6571`, `6572`, `6573`, `6574`, `6575`, `6576`, `6577`, `6578`, `6579`, `6582`, `6583`, `6585`, `6588`, `6589`, `6590`, `6591`, `6592`, `6593`, `6594`, `6596`, `6597`, `6598`, `6600`, `6601`, `6602`, `6603`, `6604`, `6606`, `6607`, `6608`, `6610`, `6611`, `6612`, `6614`, `6617`, `6619`, `6621`, `6622`, `6625`, `6628`, `6631`, `6632`, `6633`, `6634`, `6637`, `6639`, `6640`, `6642`, `6644`, `6645`, `6646`, `6647`, `6649`, `6650`, `6651`, `6653`, `6655`, `6656`, `6658`, `6659`, `6661`, `6662`, `6665`, `6666`, `6668`, `6669`, `6670`, `6671`, `6672`, `6673`, `6674`, `6675`, `6676`, `6677`, `6678`, `6679`, `6680`, `6682`, `6683`, `6684`, `6685`, `6687`, `6688`, `6690`, `6692`, `6693`, `6694`, `6696`, `6697`, `6698`, `6701`, `6702`, `6705`, `6707`, `6708`, `6709`, `6711`, `6712`, `6714`, `6716`, `6717`, `6718`, `6721`, `6723`, `6724`, `6726`, `6730`, `6732`, `6733`, `6734`, `6735`, `6736`, `6738`, `6740`, `6742`, `6744`, `6745`, `6746`, `6747`, `6748`, `6750`, `6753`, `6755`, `6756`, `6758`, `6759`, `6760`, `6761`, `6763`, `6764`, `6767`, `6770`, `6772`, `6773`, `6774`, `6776`, `6778`, `6781`, `6783`, `6784`, `6785`, `6788`, `6790`, `6793`, `6794`, `6796`, `6797`, `6801`, `6804`, `6807`, `6809`, `6812`, `6814`, `6816`, `6817`, `6819`, `6821`, `6822`, `6824`, `6825`, `6828`, `6831`, `6834`, `6835`, `6836`, `6838`, `6839`, `6841`, `6844`, `6846`, `6847`, `6848`, `6849`, `6851`, `6852`, `6854`, `6855`, `6856`, `6857`, `6859`, `6860`, `6861`, `6862`, `6864`, `6865`, `6866`, `6867`, `6868`, `6870`, `6873`, `6875`, `6876`, `6878`, `6882`, `6885`, `6888`, `6889`, `6890`, `6893`, `6895`, `6898`, `6901`, `6903`, `6905`, `6906`, `6909`, `6911`, `6912`, `6913`, `6914`, `6915`, `6916`, `6919`, `6920`, `6923`, `6924`, `6925`, `6926`, `6930`, `6932`, `6934`, `6937`, `6939`, `6940`, `6942`, `6944`, `6945`, `6947`, `6949`, `6952`, `6954`, `6957`, `6959`, `6960`, `6963`, `6966`, `6969`, `6970`, `6973`, `6974`, `6976`, `6978`, `6980`, `6983`, `6985`, `6986`, `6988`, `6989`, `6991`, `6993`, `6995`, `6997`, `7000`, `7002`, `7005`, `7007`, `7008`, `7010`, `7013`, `7016`, `7018`, `7019`, `7020`, `7022`, `7023`, `7024`, `7025`, `7028`, `7030`, `7031`, `7032`, `7033`, `7035`, `7036`, `7037`, `7038`, `7040`, `7041`, `7043`, `7044`, `7045`, `7048`, `7050`, `7051`, `7054`, `7056`, `7058`, `7059`, `7060`, `7063`, `7065`, `7066`, `7067`, `7068`, `7071`, `7074`, `7077`, `7078`, `7079`, `7080`, `7081`, `7083`, `7084`, `7086`, `7088`, `7091`, `7092`, `7094`, `7095`, `7097`, `7099`, `7100`, `7102`, `7104`, `7105`, `7107`, `7109`, `7112`, `7113`, `7115`, `7117`, `7119`, `7120`, `7123`, `7126`, `7128`, `7129`, `7131`, `7133`, `7136`, `7139`, `7142`, `7143`, `7144`, `7145`, `7148`, `7150`, `7151`, `7152`, `7154`, `7156`, `7158`, `7160`, `7163`, `7164`, `7167`, `7170`, `7172`, `7175`, `7177`, `7180`, `7181`, `7182`, `7185`, `7186`, `7189`, `7190`, `7191`, `7192`, `7193`, `7194`, `7196`, `7199`, `7201`, `7202`, `7203`, `7204`, `7207`, `7209`, `7211`, `7214`, `7215`, `7217`, `7218`, `7220`, `7222`, `7223`, `7225`, `7227`, `7228`, `7230`, `7232`, `7233`, `7234`, `7236`, `7237`, `7238`, `7239`, `7240`, `7242`, `7244`, `7246`, `7247`, `7249`, `7250`, `7252`, `7253`, `7255`, `7257`, `7259`, `7261`, `7262`, `7264`, `7267`, `7268`, `7270`, `7272`, `7274`, `7276`, `7278`, `7279`, `7281`, `7284`, `7285`, `7289`, `7291`, `7295`, `7296`, `7298`, `7299`, `7301`, `7305`, `7308`, `7310`, `7311`, `7313`, `7315`, `7316`, `7318`, `7319`, `7321`, `7323`, `7324`, `7325`, `7328`, `7330`, `7331`, `7333`, `7336`, `7337`, `7338`, `7339`, `7341`, `7343`, `7345`, `7346`, `7347`, `7349`, `7352`, `7353`, `7356`, `7359`, `7361`, `7362`, `7363`, `7364`, `7366`, `7368`, `7370`, `7373`, `7375`, `7377`, `7379`, `7381`, `7384`, `7386`, `7388`, `7390`, `7393`, `7395`, `7397`, `7398`, `7399`, `7401`, `7402`, `7405`, `7408`, `7409`, `7411`, `7412`, `7414`, `7415`, `7417`, `7420`, `7422`, `7423`, `7425`, `7426`, `7429`, `7431`, `7434`, `7437`, `7440`, `7442`, `7446`, `7448`, `7450`, `7452`, `7453`, `7455`, `7457`, `7459`, `7460`, `7464`, `7468`, `7470`, `7471`, `7473`, `7475`, `7476`, `7478`, `7479`, `7481`, `7482`, `7486`, `7487`, `7489`, `7490`, `7491`, `7493`, `7494`, `7495`, `7497`, `7499`, `7501`, `7502`, `7504`, `7505`, `7506`, `7508`, `7509`, `7512`, `7513`, `7514`, `7515`, `7517`, `7518`, `7521`, `7523`, `7525`, `7526`, `7529`, `7532`, `7533`, `7534`, `7537`, `7538`, `7540`, `7541`, `7542`, `7544`, `7547`, `7549`, `7550`, `7552`, `7553`, `7554`, `7556`, `7558`, `7560`, `7562`, `7563`, `7565`, `7566`, `7567`, `7568`, `7569`, `7570`, `7571`, `7572`, `7575`, `7577`, `7579`, `7580`, `7581`, `7583`, `7585`, `7586`, `7588`, `7592`, `7595`, `7596`, `4604`, `7598`, `7599`, `7601`, `7602`, `7604`, `7605`, `7608`, `7609`, `7613`, `7615`, `7617`, `7619`, `7620`, `7621`, `7623`, `7624`, `7626`, `7627`, `7630`, `7631`, `7632`, `7635`, `7637`, `7638`, `7639`, `7640`, `7643`, `7646`, `7648`, `7650`, `7651`, `7652`, `7653`, `7654`, `7655`, `7658`, `7660`, `7661`, `7662`, `7664`, `7665`, `7667`, `7668`, `7669`, `7672`, `7673`, `7676`, `7680`, `7682`, `7684`, `7685`, `7686`, `7689`, `7690`, `7692`, `7694`, `7695`, `7696`, `7698`, `7700`, `7701`, `7702`, `7704`, `7706`, `7708`, `7711`, `7713`, `7714`, `7715`, `7717`, `7718`, `7720`, `7722`, `7723`, `7725`, `7727`, `7730`, `7732`, `7735`, `7738`, `7741`, `7743`, `7746`, `7748`, `7751`, `7754`, `7757`, `7758`, `7760`, `7761`, `7763`, `7765`, `7769`, `7770`, `7772`, `7773`, `7774`, `7775`, `7777`, `7780`, `7781`, `7782`, `7785`, `7786`, `7787`, `7788`, `7789`, `7790`, `7791`, `7793`, `7794`, `7796`, `7797`, `7799`, `7801`, `7802`, `7804`, `7807`, `7809`, `7810`, `7813`, `7815`, `7817`, `7819`, `7821`, `7823`, `7826`, `7827`, `7830`, `7832`, `7833`, `7835`, `7837`, `7839`, `7841`, `7843`, `7844`, `7845`, `7849`, `7850`, `7852`, `7854`, `7856`, `7857`, `7858`, `7859`, `7862`, `7863`, `7866`, `7867`, `7869`, `7871`, `7873`, `7875`, `7876`, `7877`, `7878`, `7879`, `7882`, `7884`, `7886`, `7887`, `7888`, `7890`, `7891`, `7894`, `7896`, `7897`, `7899`, `7901`, `7902`, `7903`, `7904`, `7906`, `7907`, `7908`, `7910`, `7913`, `7916`, `7917`, `7921`, `7924`, `7925`, `7926`, `7928`, `7929`, `7930`, `7932`, `7934`, `7935`, `7937`, `7938`, `7939`, `7940`, `7942`, `7944`, `7947`, `7948`, `7949`, `7950`, `7952`, `7954`, `7955`, `7957`, `7959`, `7961`, `7962`, `7963`, `7965`, `7967`, `7969`, `7971`, `7972`, `7973`, `7975`, `7978`, `7980`, `7982`, `7984`, `7986`, `7988`, `7990`, `7991`, `7993`, `7996`, `7997`, `7998`, `7999`, `8002`, `8005`, `8008`, `8009`, `8011`, `8013`, `8015`, `8017`, `8018`, `8021`, `8025`, `8026`, `8027`, `8030`, `8031`, `8033`, `8035`, `8037`, `8038`, `8040`, `8043`, `8044`, `8045`, `8047`, `8049`, `8051`, `8053`, `8055`, `8057`, `8059`, `8062`, `8064`, `8065`, `8069`, `8072`, `8074`, `8075`, `8077`, `8079`, `8080`, `8081`, `8082`, `8084`, `8087`, `8089`, `8092`, `8095`, `8097`, `8098`, `8101`, `8104`, `8105`, `8107`, `8108`, `8109`, `8111`, `8113`, `8116`, `8118`, `8119`, `8123`, `8125`, `8127`, `8129`, `8130`, `8132`, `8133`, `8134`, `8135`, `8137`, `8138`, `8140`, `8142`, `8144`, `8145`, `8147`, `8149`, `8150`, `8153`, `8155`, `8157`, `8160`, `8162`, `8165`, `8167`, `8170`, `8171`, `8173`, `8174`, `8176`, `8178`, `8180`, `8182`, `8184`, `8185`, `8187`, `8188`, `8190`, `8192`, `8196`, `8199`, `8201`, `8202`, `8204`, `8206`, `8208`, `8209`, `8211`, `8213`, `8216`, `8218`, `8219`, `8222`, `8224`, `8225`, `8227`, `8228`, `8230`, `8231`, `8235`, `8237`, `8240`, `8241`, `8243`, `8244`, `8245`, `8248`, `8249`, `8251`, `8253`, `8254`, `8256`, `8257`, `8258`, `8259`, `8261`, `8262`, `8263`, `8264`, `8266`, `8267`, `8270`, `8273`, `8274`, `8277`, `8279`, `8280`, `8281`, `8283`, `8286`, `8287`, `8289`, `8290`, `8291`, `8292`, `8293`, `8294`, `8295`, `8298`, `8299`, `8300`, `8303`, `8304`, `8305`, `8307`, `8309`, `8310`, `8311`, `8314`, `8316`, `8318`, `8320`, `8322`, `8325`, `8327`, `8329`, `8330`, `8332`, `8334`, `8337`, `8339`, `8340`, `8341`, `8342`, `8345`, `8346`, `8347`, `8348`, `8350`, `8352`, `8353`, `8355`, `8357`, `8360`, `8361`, `8363`, `8366`, `8368`, `8370`, `8371`, `8372`, `8374`, `8376`, `8377`, `8378`, `8379`, `8382`, `8385`, `8386`, `8387`, `8388`, `8390`, `8391`, `8393`, `8394`, `8395`, `8396`, `8397`, `8398`, `8399`, `8401`, `8403`, `8404`, `8406`, `8409`, `8411`, `8412`, `8413`, `8414`, `8417`, `8418`, `8419`, `8420`, `8422`, `8423`, `8424`, `8426`, `8427`, `8429`, `8430`, `8432`, `8434`, `8437`, `8438`, `8439`, `8441`, `8443`, `8445`, `8446`, `8449`, `8451`, `8452`, `8453`, `8454`, `8455`, `8456`, `8457`, `8458`, `8459`, `8461`, `8462`, `8463`, `8466`, `8467`, `8469`, `8471`, `8472`, `8475`, `8477`, `8478`, `8479`, `8480`, `8481`, `8483`, `8487`, `8489`, `8490`, `8491`, `8494`, `8495`, `8498`, `8499`, `8501`, `8502`, `8505`, `8506`, `8508`, `8509`, `8510`, `8515`, `8517`, `8518`, `8520`, `8521`, `8522`, `8524`, `8525`, `8526`, `8527`, `8530`, `8533`, `8534`, `8536`, `8537`, `8538`, `8539`, `8540`, `8542`, `8544`, `8546`, `8547`, `8548`, `8551`, `8552`, `8554`, `8555`, `8557`, `8559`, `8561`, `8562`, `8563`, `8566`, `8568`, `8570`, `8573`, `8574`, `8575`, `8576`, `8577`, `8579`, `8582`, `8584`, `8585`, `8586`, `8587`, `8588`, `8589`, `8590`, `8591`, `8592`, `8593`, `8594`, `8596`, `8598`, `8601`, `8602`, `8603`, `8605`, `8607`, `8608`, `8610`, `8612`, `8613`, `8614`, `8617`, `8619`, `8621`, `8622`, `8623`, `8624`, `8626`, `8627`, `8629`, `8630`, `8632`, `8633`, `8635`, `8636`, `8639`, `8642`, `8645`, `8646`, `8647`, `8648`, `8651`, `8653`, `8654`, `8655`, `8656`, `8657`, `8658`, `8661`, `8662`, `8665`, `8667`, `8669`, `8671`, `8672`, `8673`, `8674`, `8676`, `8677`, `8678`, `8679`, `8681`, `8683`, `8684`, `8685`, `8687`, `8690`, `8691`, `8693`, `8696`, `8698`, `8699`, `8700`, `8701`, `8703`, `8704`, `8707`, `8709`, `8712`, `8714`, `8715`, `8717`, `8718`, `8720`, `8721`, `8724`, `8725`, `8726`, `8728`, `8729`, `8730`, `8732`, `8735`, `8737`, `8739`, `8741`, `8742`, `8743`, `8745`, `8746`, `8749`, `8751`, `8754`, `8755`, `8756`, `8757`, `8758`, `8761`, `8763`, `8764`, `8766`, `8767`, `8768`, `8769`, `8770`, `8772`, `8773`, `8774`, `8776`, `8777`, `8778`, `8779`, `8782`, `8784`, `8787`, `8790`, `8791`, `8794`, `8796`, `8797`, `8798`, `8799`, `8802`, `8804`, `8806`, `8808`, `8809`, `8814`, `8816`, `8818`, `8820`, `8821`, `8823`, `8824`, `8825`, `8827`, `8828`, `8829`, `8831`, `8832`, `8834`, `8835`, `8838`, `8840`, `8842`, `8843`, `8844`, `8845`, `8847`, `8849`, `8851`, `8854`, `8856`, `8857`, `8858`, `8862`, `8864`, `8865`, `8866`, `8868`, `8871`, `8874`, `8877`, `8878`, `8881`, `8882`, `8883`, `8884`, `8885`, `8888`, `8890`, `8892`, `8894`, `8896`, `8898`, `8901`, `8903`, `8904`, `8906`, `8907`, `8909`, `8910`, `8911`, `8912`, `8913`, `8914`, `8916`, `8918`, `8922`, `8923`, `8924`, `8926`, `8927`, `8928`, `8929`, `8931`, `8933`, `8935`, `8936`, `8939`, `8941`, `8945`, `8947`, `8949`, `8951`, `8953`, `8955`, `8959`, `8962`, `8963`, `8965`, `8967`, `8969`, `8972`, `8974`, `8976`, `8978`, `8980`, `8981`, `8982`, `8983`, `8984`, `8986`, `8988`, `8989`, `8991`, `8993`, `8995`, `8997`, `8999`, `9001`, `9002`, `9003`, `9004`, `9005`, `9007`, `9010`, `9013`, `9014`, `9015`, `9016`, `9017`, `9018`, `9021`, `9022`, `9023`, `9025`, `9026`, `9027`, `9029`, `9030`, `9032`, `9036`, `9039`, `9040`, `9041`, `9042`, `9045`, `9046`, `9048`, `9049`, `9051`, `9053`, `9055`, `9057`, `9059`, `9060`, `9061`, `9062`, `9063`, `9065`, `9066`, `9068`, `9070`, `9072`, `9073`, `9074`, `9075`, `9077`, `9078`, `9079`, `9081`, `9083`, `9084`, `9085`, `9086`, `9089`, `9092`, `9094`, `9095`, `9097`, `9098`, `9100`, `9101`, `9103`, `9107`, `9108`, `9110`, `9112`, `9113`, `9115`, `9119`, `9120`, `9121`, `9122`, `9124`, `9125`, `9127`, `9130`, `9131`, `9132`, `9133`, `9134`, `9135`, `9137`, `9138`, `9139`, `9143`, `9145`, `9146`, `9149`, `9151`, `9153`, `9155`, `9156`, `9157`, `9159`, `948`, `9161`, `9163`, `9166`, `9167`, `9169`, `9171`, `9172`, `9175`, `9176`, `9179`, `9181`, `9184`, `9185`, `9187`, `9189`, `9190`, `9192`, `9193`, `9196`, `9198`, `9202`, `9204`, `9205`, `9207`, `9209`, `9211`, `9212`, `9215`, `9217`, `9219`, `9221`, `9224`, `9226`, `9227`, `9229`, `9232`, `9234`, `9236`, `9237`, `9239`, `9240`, `9242`, `9244`, `9246`, `9247`, `9249`, `9252`, `9253`, `9254`, `9258`, `9260`, `9262`, `9264`, `9265`, `9267`, `545`, `9269`, `9270`, `9271`, `9273`, `9274`, `9275`, `9276`, `9278`, `9281`, `9283`, `9285`, `9286`, `9290`, `9292`, `9294`, `9296`, `9297`, `9300`, `9301`, `9303`, `9306`, `9308`, `9310`, `9311`, `9313`, `9316`, `9317`, `9320`, `9321`, `9323`, `9325`, `9327`, `9329`, `9332`, `9335`, `9337`, `9338`, `9340`, `9341`, `9342`, `9344`, `9346`, `9348`, `9349`, `9351`, `9352`, `9354`, `9357`, `9360`, `9362`, `9363`, `9365`, `9368`, `9370`, `9373`, `9375`, `9376`, `9378`, `9381`, `9383`, `9386`, `9388`, `9389`, `9391`, `9393`, `9394`, `9396`, `9398`, `9400`, `9403`, `9406`, `9408`, `9410`, `9412`, `9413`, `9414`, `9416`, `9418`, `9419`, `9420`, `9424`, `9425`, `9428`, `9429`, `9431`, `9432`, `9435`, `9436`, `9438`, `9439`, `9441`, `9443`, `9444`, `9446`, `9448`, `9450`, `9452`, `9455`, `9457`, `9459`, `9460`, `9462`, `9464`, `9467`, `9470`, `9471`, `9472`, `9474`, `9476`, `9478`, `9479`, `9480`, `9482`, `9483`, `9485`, `9486`, `9487`, `9489`, `9491`, `9493`, `9495`, `9497`, `9499`, `9504`, `9506`, `9508`, `9510`, `9511`, `9512`, `9515`, `9516`, `9519`, `9521`, `9522`, `9523`, `9524`, `9526`, `9527`, `9528`, `9531`, `9533`, `9534`, `9536`, `9537`, `9539`, `9541`, `9543`, `9546`, `9548`, `9551`, `9553`, `9554`, `9559`, `9562`, `9564`, `9565`, `9567`, `9569`, `9572`, `9573`, `9574`, `9576`, `9577`, `9578`, `9581`, `9583`, `9584`, `9585`, `9586`, `9587`, `9588`, `9590`, `9591`, `9592`, `9594`, `9595`, `9596`, `9597`, `9601`, `9602`, `9604`, `9607`, `9609`, `9611`, `9614`, `9616`, `9618`, `9621`, `9624`, `9625`, `9628`, `9630`, `9632`, `9633`, `9636`, `9637`, `9638`, `9639`, `9640`, `9641`, `9643`, `9645`, `9648`, `9650`, `9652`, `9653`, `9655`, `9656`, `9658`, `9660`, `9662`, `9663`, `9665`, `9666`, `9669`, `9670`, `9672`, `9674`, `9676`, `9678`, `9679`, `9683`, `9685`, `9687`, `9688`, `9689`, `9691`, `9694`, `9695`, `9697`, `9699`, `9700`, `9702`, `9703`, `9704`, `9706`, `9707`, `9709`, `9711`, `9713`, `9714`, `9715`, `9719`, `9720`, `9722`, `9725`, `9728`, `9732`, `9733`, `9735`, `9736`, `9738`, `9739`, `9742`, `9743`, `9745`, `9747`, `9748`, `9750`, `9751`, `9752`, `9754`, `9755`, `9757`, `9759`, `9761`, `9762`, `9763`, `9765`, `9766`, `9767`, `9769`, `9770`, `9772`, `9773`, `9774`, `9776`, `9778`, `9779`, `9781`, `9783`, `9786`, `9787`, `9789`, `9791`, `9794`, `9796`, `9797`, `9799`, `9800`, `9803`, `9805`, `9807`, `9809`, `9812`, `9814`, `9817`, `9819`, `9820`, `9821`, `9823`, `9825`, `9826`, `9829`, `9830`, `9832`, `9834`, `9835`, `9837`, `9838`, `9841`, `9843`, `9845`, `9846`, `9847`, `9848`, `9850`, `9851`, `9852`, `9853`, `9854`, `9856`, `9857`, `9859`, `9860`, `9861`, `9863`, `9865`, `9867`, `9869`, `9871`, `9872`, `9874`, `9875`, `9876`, `9878`, `9879`, `9880`, `9883`, `9884`, `9885`, `9888`, `9890`, `9892`, `9894`, `9896`, `9897`, `9899`, `9901`, `9903`, `9904`, `9905`, `9907`, `9908`, `9910`, `9912`, `9914`, `9917`, `9920`, `9921`, `9923`, `9926`, `9927`, `9929`, `9931`, `9932`, `9933`, `9935`, `9937`, `9940`, `9941`, `9943`, `9945`, `9946`, `9948`, `9949`, `9950`, `9952`, `9953`, `9955`, `9958`, `9959`, `9961`, `9963`, `9964`, `9965`, `9967`, `9970`, `9972`, `9973`, `9974`, `3616`, `9975`, `9978`, `9980`, `9981`, `9983`, `9984`, `9985`, `6121`, `9988`, `9989`, `9992`, `9993`, `9995`, `9998`, `10000`, `10001`, `10002`, `10003`, `10006`, `10009`, `10012`, `10013`, `10016`, `10018`, `10020`, `10022`, `10023`, `10025`, `10026`, `10028`, `10029`, `10030`, `10033`, `10034`, `10035`, `10036`, `10038`, `10039`, `10042`, `10044`, `10048`, `10049`, `10051`, `10052`, `10054`, `10056`, `10058`, `10061`, `10062`, `10065`, `10066`, `10068`, `10069`, `10071`, `10073`, `10075`, `10076`, `10081`, `10083`, `10085`, `10087`, `10089`, `10091`, `10093`, `10095`, `10096`, `10098`, `10100`, `10101`, `10103`, `10105`, `10106`, `10108`, `10110`, `10112`, `10114`, `10116`, `10118`, `10120`, `10121`, `10122`, `10123`, `10124`, `10125`, `10127`, `10129`, `10130`, `10132`, `10133`, `10134`, `10136`, `10138`, `10140`, `10142`, `10144`, `10145`, `10146`, `10148`, `10149`, `10152`, `10156`, `10157`, `10158`, `10161`, `10163`, `10164`, `10166`, `10168`, `10170`, `10171`, `10172`, `10175`, `10179`, `10180`, `10181`, `10182`, `10184`, `10187`, `10188`, `10189`, `10191`, `10192`, `10193`, `10194`, `10197`, `10198`, `10200`, `10202`, `10205`, `10206`, `10207`, `10209`, `10211`, `10213`, `10216`, `10218`, `10220`, `10222`, `10224`, `10226`, `10228`, `10232`, `10233`, `10235`, `10237`, `10240`, `10242`, `10243`, `10245`, `10246`, `10249`, `10250`, `10252`, `10254`, `10255`, `10257`, `10259`, `10261`, `10263`, `10266`, `10269`, `10270`, `10273`, `10274`, `10276`, `10278`, `10279`, `10281`, `10282`, `10284`, `10287`, `10288`, `10289`, `10292`, `10293`, `10295`, `10296`, `10299`, `10301`, `10304`, `10306`, `10308`, `10309`, `10312`, `10313`, `10315`, `10316`, `10318`, `10320`, `10321`, `10322`, `10325`, `10328`, `10329`, `10330`, `10332`, `10334`, `10335`, `10337`, `10340`, `10343`, `10345`, `10346`, `10349`, `10350`, `10352`, `10354`, `10356`, `10357`, `10358`, `10359`, `10361`, `10362`, `10363`, `10365`, `10366`, `10367`, `10369`, `10372`, `10374`, `10377`, `10378`, `10379`, `10381`, `10383`, `10384`, `10387`, `10388`, `10390`, `10391`, `10392`, `10393`, `10395`, `10398`, `10400`, `10401`, `10404`, `10405`, `10407`, `10409`, `10411`, `10413`, `10414`, `10415`, `10416`, `10417`, `10418`, `10419`, `10420`, `10422`, `10423`, `10424`, `10425`, `10427`, `10428`, `10429`, `10430`, `10432`, `10434`, `10436`, `10437`, `10438`, `10440`, `10441`, `10444`, `10446`, `10448`, `10449`, `10450`, `10451`, `10454`, `10455`, `10457`, `10458`, `10461`, `10462`, `10463`, `10464`, `10466`, `10468`, `10469`, `10471`, `10473`, `10474`, `10476`, `10478`, `10479`, `10482`, `10483`, `10485`, `10488`, `10489`, `10490`, `10493`, `10495`, `10497`, `10498`, `10499`, `10500`, `10502`, `10504`, `10507`, `10509`, `10510`, `10511`, `10513`, `10514`, `10515`, `10516`, `10517`, `10519`, `10521`, `10523`, `10525`, `10527`, `10528`, `10530`, `10531`, `10532`, `10534`, `10535`, `10536`, `10538`, `10539`, `10540`, `10541`, `10543`, `10545`, `10547`, `10550`, `10551`, `10554`, `10556`, `10559`, `10563`, `10565`, `10567`, `10569`, `10571`, `10572`, `10574`, `10578`, `10581`, `10583`, `10586`, `10588`, `10592`, `10593`, `10594`, `10595`, `10596`, `10597`, `10598`, `10600`, `10602`, `10603`, `10604`, `10605`, `10606`, `10608`, `10611`, `10613`, `10615`, `10616`, `10618`, `10620`, `10623`, `10626`, `10627`, `10630`, `10632`, `10635`, `10637`, `10639`, `10641`, `10643`, `10644`, `10645`, `10647`, `10649`, `10650`, `10653`, `10656`, `10658`, `10659`, `10661`, `10662`, `10663`, `10664`, `10665`, `10667`, `10669`, `10670`, `10672`, `10674`, `10675`, `10676`, `10678`, `10679`, `10681`, `10684`, `10686`, `10687`, `10690`, `10692`, `10693`, `10694`, `10697`, `10700`, `10702`, `10704`, `10706`, `10708`, `10710`, `10712`, `10713`, `10716`, `10717`, `10718`, `10719`, `10720`, `10721`, `10722`, `10725`, `10727`, `10729`, `10731`, `10733`, `10735`, `10736`, `10737`, `10738`, `10739`, `10740`, `10741`, `10744`, `10746`, `10748`, `10750`, `10753`, `10754`, `10756`, `10757`, `10758`, `10760`, `10763`, `10764`, `10765`, `10766`, `10767`, `10769`, `10770`, `10772`, `10774`, `10775`, `10776`, `10779`, `10783`, `10785`, `10788`, `10790`, `10791`, `10793`, `10796`, `10797`, `10798`, `10800`, `10804`, `10805`, `10806`, `10807`, `10808`, `10809`, `10810`, `10812`, `10814`, `10816`, `10817`, `10818`, `10819`, `10821`, `10823`, `10825`, `10827`, `10828`, `10829`, `10830`, `10832`, `10834`, `10835`, `10836`, `10838`, `10839`, `10841`, `10842`, `10844`, `10846`, `10850`, `10852`, `10857`, `10858`, `10859`, `10861`, `10862`, `10863`, `10864`, `10865`, `10868`, `10870`, `10873`, `10875`, `10878`, `10880`, `10884`, `10886`, `10887`, `10888`, `10889`, `10892`, `10894`, `10897`, `10898`, `10900`, `10901`, `10903`, `10905`, `10906`, `10908`, `10909`, `10911`, `10912`, `10915`, `10916`, `10917`, `10918`, `10919`, `10921`, `10922`, `10924`, `10925`, `10927`, `10928`, `10931`, `10932`, `10933`, `10934`, `10935`, `10938`, `10942`, `10943`, `10945`, `10947`, `10949`, `10950`, `10951`, `10953`, `10955`, `10956`, `10957`, `10958`, `10959`, `10961`, `10962`, `10963`, `10964`, `10965`, `10966`, `10968`, `10971`, `10972`, `10974`, `10975`, `10977`, `10978`, `10980`, `10981`, `10983`, `10984`, `10985`, `10986`, `10987`, `10989`, `10991`, `10992`, `10993`, `10995`, `10997`, `10999`, `11001`, `11002`, `11004`, `11007`, `11010`, `11012`, `11013`, `11014`, `11016`, `11019`, `11023`, `11025`, `11027`, `11028`, `11030`, `11032`, `11033`, `11034`, `11036`, `11037`, `11038`, `11040`, `11044`, `11046`, `11049`, `11050`, `11054`, `11055`, `11057`, `11059`, `11060`, `11062`, `11064`, `11065`, `11066`, `11068`, `11071`, `11074`, `11075`, `11078`, `11079`, `11080`, `11083`, `11084`, `11085`, `11089`, `11090`, `11093`, `11094`, `11096`, `11097`, `11098`, `11100`, `11102`, `11103`, `11105`, `11106`, `11109`, `11113`, `11116`, `11117`, `11119`, `11120`, `11122`, `11125`, `11128`, `11129`, `11131`, `11132`, `11133`, `11134`, `11136`, `11137`, `11138`, `11140`, `11142`, `11144`, `11147`, `11148`, `11150`, `11152`, `11155`, `11157`, `11159`, `11160`, `11162`, `11163`, `11164`, `11166`, `11167`, `11169`, `11171`, `11174`, `11176`, `11178`, `11179`, `11181`, `11184`, `11185`, `11186`, `11189`, `11190`, `11192`, `11194`, `11196`, `11198`, `11199`, `11202`, `11204`, `11206`, `11208`, `11211`, `11212`, `11214`, `11216`, `11220`, `11222`, `11223`, `11226`, `11228`, `11230`, `11231`, `11232`, `11233`, `11235`, `11237`, `11239`, `11240`, `11241`, `11242`, `11243`, `11244`, `11245`, `11247`, `11250`, `11252`, `11254`, `11256`, `11258`, `11260`, `11262`, `11263`, `11264`, `11265`, `11269`, `11271`, `11273`, `11277`, `11279`, `11282`, `11285`, `11286`, `11289`, `11290`, `11292`, `11294`, `11296`, `11298`, `11301`, `11303`, `11305`, `11308`, `11309`, `11311`, `11314`, `11315`, `11317`, `11319`, `11320`, `11321`, `11324`, `11325`, `11326`, `11328`, `11330`, `11331`, `11332`, `11333`, `11334`, `11336`, `11338`, `11341`, `11342`, `11344`, `11348`, `11349`, `11350`, `11352`, `11353`, `11355`, `11357`, `11358`, `11359`, `11360`, `11361`, `11362`, `11366`, `11367`, `11370`, `11371`, `11373`, `11375`, `11376`, `11378`, `11380`, `11382`, `11383`, `11384`, `11385`, `11386`, `11387`, `11388`, `11390`, `11393`, `11395`, `11396`, `11397`, `11399`, `11401`, `11403`, `11404`, `11405`, `11406`, `11407`, `11408`, `11410`, `11412`, `11413`, `11414`, `11415`, `11416`, `11417`, `11420`, `11421`, `11422`, `11423`, `11425`, `11427`, `11428`, `11430`, `11433`, `11435`, `11438`, `11440`, `11442`, `11443`, `11445`, `11446`, `11448`, `11450`, `11452`, `11454`, `11455`, `11456`, `11457`, `11458`, `11459`, `11461`, `11462`, `11463`, `11464`, `11468`, `11469`, `11470`, `11473`, `11474`, `11476`, `11479`, `11480`, `11482`, `11484`, `11486`, `11487`, `11489`, `11490`, `11492`, `11494`, `11495`, `11496`, `11497`, `11499`, `11500`, `11501`, `11504`, `11505`, `11508`, `11509`, `11511`, `11513`, `11515`, `11518`, `11519`, `11520`, `11522`, `11523`, `11524`, `11525`, `11526`, `11529`, `11530`, `11531`, `11533`, `11534`, `11536`, `11538`, `11540`, `11542`, `11544`, `11546`, `11547`, `11549`, `11551`, `11552`, `11553`, `11555`, `11557`, `11559`, `11560`, `11562`, `11565`, `11567`, `11568`, `11570`, `11572`, `11573`, `11576`, `11577`, `11579`, `11580`, `11581`, `11583`, `11584`, `11586`, `11587`, `11591`, `11593`, `11594`, `11597`, `11598`, `11601`, `11602`, `11603`, `11605`, `11606`, `11608`, `11610`, `11611`, `11612`, `11614`, `11615`, `11618`, `11619`, `11620`, `11621`, `11623`, `11624`, `11627`, `11628`, `11631`, `11632`, `11633`, `11634`, `11635`, `11636`, `11639`, `11640`, `11642`, `11643`, `11644`, `11646`, `11647`, `11649`, `11650`, `11652`, `11656`, `11657`, `11658`, `11660`, `11663`, `11665`, `11666`, `11668`, `11670`, `11671`, `11673`, `11674`, `11675`, `11676`, `11678`, `11679`, `11680`, `11681`, `11684`, `11686`, `11687`, `11690`, `11691`, `11692`, `11693`, `11694`, `11695`, `11696`, `11697`, `11698`, `11699`, `11700`, `11701`, `11702`, `11703`, `11704`, `11705`, `11706`, `11707`, `11708`, `11709`, `11710`, `11711`, `11712`, `11713`, `11716`, `11718`, `11719`, `11722`, `11723`, `11724`, `11725`, `11727`, `11728`, `11729`, `11731`, `11733`, `11735`, `11736`, `11737`, `11739`, `11741`, `11744`, `11745`, `11747`, `11749`, `11751`, `11752`, `11753`, `11755`, `11756`, `11757`, `11758`, `11759`, `11760`, `11762`, `11764`, `11766`, `11768`, `11770`, `11771`, `11773`, `11775`, `11776`, `11778`, `11780`, `11782`, `11785`, `11786`, `11788`, `11790`, `11793`, `11795`, `11796`, `11798`, `11799`, `11800`, `11802`, `11803`, `11806`, `11808`, `11809`, `11810`, `11812`, `11813`, `11814`, `11816`, `11819`, `11821`, `11823`, `11825`, `11826`, `11829`, `11830`, `11832`, `11833`, `11835`, `11837`, `11838`, `11841`, `11842`, `11843`, `11847`, `11850`, `11853`, `11855`, `11857`, `11858`, `11860`, `11864`, `11865`, `11867`, `11869`, `11870`, `11872`, `11873`, `11876`, `11877`, `11879`, `11882`, `11884`, `11885`, `11886`, `11888`, `11890`, `11894`, `11895`, `11896`, `11898`, `11899`, `11902`, `11903`, `11906`, `11907`, `11908`, `11909`, `11910`, `11912`, `11914`, `11916`, `11919`, `11920`, `11923`, `11926`, `11928`, `11929`, `11930`, `11931`, `11933`, `11935`, `11937`, `11939`, `11942`, `11944`, `11946`, `11948`, `11951`, `11953`, `11954`, `11955`, `11957`, `11958`, `11959`, `11961`, `11964`, `11965`, `1175`, `11966`, `11967`, `11970`, `11971`, `11973`, `11974`, `11975`, `11976`, `11977`, `11979`, `11981`, `11984`, `11985`, `11987`, `11990`, `11992`, `11993`, `11994`, `11997`, `12000`, `12002`, `12003`, `12006`, `12008`, `12010`, `12011`, `12013`, `12015`, `12016`, `12018`, `12019`, `12021`, `12022`, `12023`, `12024`, `12025`, `12026`, `12027`, `12028`, `12030`, `12031`, `12033`, `12034`, `12035`, `12036`, `12037`, `12038`, `12039`, `12040`, `12041`, `12042`, `12043`, `12044`, `12045`, `12046`, `12047`, `12048`, `12049`, `12050`, `12051`, `12053`, `12054`, `12055`, `12056`, `12057`, `12061`, `12063`, `12066`, `12067`, `12069`, `12071`, `12074`, `12076`, `12079`, `12080`, `12081`, `12082`, `12083`, `12085`, `12087`, `12088`, `12090`, `12091`, `12092`, `12093`, `12094`, `12095`, `12096`, `12100`, `12101`, `12104`, `12105`, `12108`, `12109`, `12110`, `12112`, `12113`, `12115`, `12117`, `12118`, `12119`, `12120`, `12122`, `12123`, `12125`, `12126`, `12127`, `12128`, `12129`, `12130`, `12131`, `12134`, `12135`, `12136`, `12138`, `12140`, `12141`, `12142`, `12143`, `12144`, `12145`, `12146`, `12147`, `12150`, `12151`, `12152`, `12153`, `12154`, `12158`, `12159`, `12160`, `12161`, `12163`, `12164`, `12165`, `12168`, `12172`, `12173`, `12174`, `12175`, `12176`, `12177`, `12178`, `12179`, `12180`, `12183`, `12184`, `12186`, `12187`, `12190`, `12192`, `12195`, `12196`, `12198`, `12199`, `12200`, `12201`, `12203`, `12204`, `12205`, `12206`, `12207`, `12209`, `12210`, `12211`, `12212`, `12213`, `12214`, `12216`, `12217`, `12219`, `12221`, `12222`, `12223`, `12224`, `12225`, `12226`, `12227`, `12228`, `12229`, `12230`, `12232`, `12233`, `12234`, `12236`, `12237`, `12239`, `12241`, `12244`, `12245`, `12246`, `12247`, `12248`, `12250`, `12251`, `12252`, `12253`, `12254`, `12255`, `12257`, `12258`, `12260`, `12261`, `12262`, `12263`, `12265`, `12266`, `12270`, `12271`, `12272`, `12273`, `12275`, `12277`, `12279`, `12280`, `12281`, `12282`, `12283`, `12287`, `12288`, `12290`, `12292`, `12295`, `12297`, `12298`, `12299`, `12300`, `12301`, `12302`, `12303`, `12304`, `12305`, `12307`, `12310`, `12312`, `12313`, `12314`, `12316`, `12318`, `12319`, `12320`, `12321`, `12322`, `12326`, `12327`, `12330`, `12332`, `12334`, `12335`, `12336`, `12337`, `12339`, `12341`, `12342`, `12344`, `12346`, `12347`, `12349`, `12351`, `12353`, `12355`, `12356`, `12357`, `12359`, `12361`, `12363`, `12364`, `12365`, `12366`, `12369`, `12370`, `12371`, `12374`, `12376`, `12377`, `12378`, `12381`, `12383`, `12384`, `12385`, `12387`, `12389`, `12390`, `12392`, `12393`, `12394`, `12395`, `12397`, `12398`, `12399`, `12400`, `12402`, `12403`, `12404`, `12405`, `12406`, `12407`, `12408`, `12410`, `12412`, `12413`, `12414`, `12415`, `12416`, `12418`, `12420`, `12421`, `12422`, `12424`, `12426`, `12427`, `12429`, `12430`, `12431`, `12432`, `12433`, `12434`, `12435`, `12437`, `12438`, `12439`, `12440`, `12441`, `12442`, `12444`, `12445`, `12446`, `12447`, `12448`, `12449`, `12450`, `12451`, `12453`, `12455`, `12457`, `12458`, `12459`, `12461`, `12463`, `12466`, `12467`, `12468`, `12469`, `12470`, `12472`, `12473`, `12475`, `12476`, `12477`, `12479`, `12480`, `12481`, `12485`, `12486`, `12487`, `12490`, `12492`, `12493`, `12494`, `12495`, `12496`, `12497`, `12500`, `12501`, `12503`, `12504`, `12505`, `12506`, `12508`, `12509`, `12511`, `12514`, `12516`, `12518`, `12520`, `12522`, `12523`, `12524`, `12525`, `12526`, `12527`, `12528`, `12531`, `12532`, `12533`, `12534`, `12536`, `12537`, `12538`, `12539`, `12541`, `12542`, `12543`, `12544`, `12545`, `12546`, `12547`, `12548`, `12550`, `12551`, `12552`, `12554`, `12555`, `12557`, `12558`, `12560`, `12561`, `12563`, `12564`, `12565`, `12567`, `12569`, `12570`, `12571`, `12572`, `12574`, `12575`, `12577`, `12580`, `12583`, `12585`, `12586`, `12588`, `12589`, `12591`, `12594`, `12596`, `12597`, `12598`, `12600`, `12601`, `12603`, `12604`, `12607`, `12608`, `12609`, `12611`, `12612`, `12614`, `12615`, `12618`, `12620`, `12622`, `12624`, `12625`, `12627`, `12628`, `12630`, `12632`, `12633`, `12634`, `12635`, `12637`, `12638`, `12640`, `12642`, `12643`, `12645`, `12648`, `12649`, `12651`, `12653`, `12654`, `12656`, `12657`, `12658`, `12661`, `12662`, `12663`, `12665`, `12667`, `12668`, `12669`, `12671`, `12672`, `12674`, `12677`, `12679`, `12680`, `12682`, `12683`, `12685`, `12687`, `12690`, `12691`, `12692`, `12694`, `12695`, `12697`, `12698`, `12699`, `12700`, `12701`, `12702`, `12704`, `12705`, `12706`, `12707`, `12708`, `12709`, `12712`, `12713`, `12715`, `12716`, `12718`, `12719`, `12720`, `12722`, `12725`, `12726`, `12728`, `12729`, `12730`, `12732`, `12733`, `12734`, `12735`, `12737`, `12738`, `12739`, `12740`, `12742`, `12743`, `12744`, `12745`, `12747`, `12749`, `12751`, `12752`, `12754`, `12756`, `12757`, `12758`, `12760`, `12761`, `12762`, `12763`, `12764`, `12766`, `12768`, `12769`, `12770`, `12772`, `12773`, `12775`, `12777`, `12780`, `12781`, `12783`, `12784`, `12786`, `12789`, `12790`, `12792`, `12793`, `12794`, `12795`, `12796`, `12797`, `12798`, `12800`, `12802`, `12803`, `12805`, `12806`, `12808`, `12809`, `12810`, `12812`, `12813`, `12814`, `12815`, `12816`, `12817`, `12818`, `12820`, `12822`, `12826`, `12829`, `12831`, `12832`, `12833`, `12835`, `12836`, `12838`, `12839`, `12840`, `12841`, `12842`, `12844`, `12847`, `12848`, `12849`, `12850`, `12851`, `12852`, `12853`, `12854`, `12855`, `12856`, `12857`, `12859`, `12860`, `12861`, `12863`, `12864`, `12865`, `12868`, `12869`, `12870`, `12871`, `12872`, `12874`, `12875`, `12876`, `12878`, `12879`, `12881`, `12882`, `12884`, `12885`, `12886`, `12887`, `12888`, `12889`, `12890`, `12893`, `12894`, `12895`, `12896`, `12897`, `12899`, `12901`, `12902`, `12904`, `12906`, `12908`, `12910`, `12911`, `12912`, `12913`, `12914`, `12915`, `12916`, `12917`, `12918`, `12920`, `12921`, `12922`, `12924`, `12926`, `12928`, `12929`, `12932`, `12934`, `12936`, `12937`, `12939`, `12941`, `12946`, `12948`, `12949`, `12952`, `12955`, `12957`, `12958`, `12959`, `12960`, `12962`, `12963`, `12965`, `12969`, `12971`, `12972`, `12975`, `12976`, `12978`, `12980`, `12981`, `12983`, `12985`, `12986`, `12988`, `12990`, `12992`, `12996`, `12999`, `13001`, `13002`, `13003`, `13006`, `13008`, `13009`, `13010`, `13011`, `13012`, `13014`, `13015`, `13017`, `13018`, `13019`, `13020`, `13021`, `13022`, `13023`, `13024`, `13025`, `13027`, `13028`, `13029`, `13031`, `13032`, `13033`, `13034`, `13035`, `13037`, `13038`, `13039`, `13040`, `13041`, `13042`, `13043`, `13044`, `13046`, `13047`, `13048`, `13050`, `13052`, `13053`, `13054`, `13055`, `13057`, `13059`, `13060`, `13061`, `13062`, `13064`, `13067`, `13068`, `13069`, `13071`, `13072`, `13073`, `13075`, `13076`, `13077`, `13079`, `13080`, `13082`, `13083`, `13084`, `13085`, `13088`, `13091`, `13092`, `13094`, `13095`, `13096`, `13097`, `13098`, `13100`, `13101`, `13102`, `13103`, `13104`, `13105`, `13106`, `13107`, `13108`, `13110`, `13111`, `13113`, `13115`, `13116`, `13118`, `13119`, `13120`, `13121`, `13123`, `13124`, `13126`, `13127`, `13128`, `13129`, `13130`, `13131`, `13132`, `13134`, `13135`, `13136`, `13137`, `13138`, `13139`, `13141`, `13142`, `13143`, `13144`, `13146`, `13147`, `13148`, `13150`, `13151`, `13153`, `13154`, `13155`, `13157`, `13158`, `13159`, `13160`, `13161`, `13162`, `13164`, `13167`, `13168`, `13169`, `13172`, `13173`, `13174`, `13176`, `13177`, `13179`, `13181`, `13183`, `13184`, `13185`, `13187`, `13189`, `13190`, `13192`, `13194`, `13195`, `13198`, `13199`, `13200`, `13202`, `13203`, `13205`, `13207`, `13209`, `13210`, `13211`, `13212`, `13214`, `13215`, `13216`, `13218`, `13219`, `13220`, `13222`, `13224`, `13226`, `13230`, `13232`, `13233`, `13234`, `13235`, `13238`, `13241`, `13242`, `13245`, `13247`, `13248`, `13249`, `13250`, `13252`, `13254`, `13257`, `13259`, `13260`, `13261`, `13264`, `13265`, `13267`, `13269`, `13270`, `13273`, `13276`, `13279`, `13280`, `13281`, `13284`, `13286`, `13287`, `13290`, `13291`, `13292`, `13294`, `13295`, `13296`, `13297`, `13299`, `13300`, `13303`, `13304`, `13305`, `13306`, `13308`, `13311`, `13312`, `13313`, `13314`, `13315`, `13318`, `13320`, `13321`, `13322`, `13325`, `13326`, `13329`, `13331`, `13332`, `13334`, `13335`, `13337`, `13338`, `13339`, `13340`, `13342`, `13344`, `13347`, `13348`, `13349`, `13350`, `13351`, `13352`, `13353`, `13355`, `13357`, `13360`, `13363`, `13364`, `13365`, `13366`, `13368`, `13369`, `13372`, `13375`, `13376`, `13377`, `13379`, `13380`, `13381`, `13383`, `13384`, `13385`, `13386`, `13388`, `13390`, `13392`, `13394`, `13395`, `13396`, `13399`, `13400`, `13401`, `13403`, `13404`, `13405`, `13406`, `13407`, `13410`, `13412`, `13414`, `13415`, `13417`, `13420`, `13421`, `13422`, `13424`, `13426`, `13428`, `13430`, `13431`, `13433`, `13434`, `13436`, `13437`, `13440`, `13442`, `13444`, `13446`, `13448`, `13449`, `13451`, `13453`, `13454`, `13456`, `13458`, `13459`, `13461`, `13462`, `13464`, `13466`, `13467`, `13468`, `13469`, `13470`, `13471`, `13473`, `13478`, `13480`, `13481`, `13482`, `13483`, `13484`, `13485`, `13486`, `13488`, `13490`, `13491`, `13492`, `13496`, `13497`, `13499`, `13500`, `13503`, `13506`, `13507`, `13509`, `13510`, `13511`, `13513`, `13516`, `13517`, `13519`, `13520`, `13524`, `13527`, `13530`, `13531`, `13532`, `13535`, `13537`, `13540`, `13543`, `13545`, `13547`, `13550`, `13551`, `13552`, `13554`, `13555`, `13557`, `13559`, `13560`, `13562`, `13565`, `13566`, `13567`, `13568`, `13569`, `13571`, `13574`, `13576`, `13577`, `13578`, `13580`, `13581`, `13583`, `13584`, `13585`, `13586`, `13587`, `13588`, `13590`, `13591`, `13594`, `13595`, `13598`, `13600`, `13604`, `13606`, `13608`, `13609`, `13612`, `13613`, `13615`, `13616`, `13617`, `13619`, `13621`, `13622`, `13623`, `13624`, `13625`, `13627`, `13630`, `13632`, `13633`, `13634`, `13637`, `13638`, `13639`, `13641`, `13642`, `13643`, `13644`, `13645`, `13646`, `13647`, `13649`, `13651`, `13652`, `13653`, `13654`, `13656`, `13658`, `13660`, `13661`, `13663`, `13665`, `13667`, `13668`, `13669`, `13670`, `13673`, `13674`, `13678`, `13680`, `13682`, `13683`, `13684`, `13686`, `13687`, `13688`, `13689`, `13691`, `13693`, `13694`, `13697`, `13699`, `13700`, `13702`, `13705`, `13706`, `13708`, `13709`, `13710`, `13711`, `13712`, `13713`, `13714`, `13716`, `13719`, `13720`, `13721`, `13722`, `13724`, `13725`, `13726`, `13729`, `13731`, `13733`, `13734`, `13735`, `13737`, `13738`, `13739`, `13740`, `13741`, `13742`, `13743`, `13744`, `13745`, `13746`, `13747`, `13748`, `13749`, `13750`, `13751`, `13753`, `13754`, `13757`, `13759`, `13761`, `13763`, `13765`, `13767`, `13770`, `13771`, `13773`, `13775`, `13776`, `13777`, `13778`, `13779`, `13782`, `13783`, `13785`, `13787`, `13788`, `13791`, `13792`, `13794`, `13796`, `13797`, `13799`, `13800`, `13803`, `13805`, `13807`, `13808`, `13810`, `13813`, `13814`, `13816`, `13819`, `13822`, `13823`, `13824`, `13826`, `13827`, `13829`, `13831`, `13833`, `13834`, `13836`, `13838`, `13840`, `13841`, `13844`, `13845`, `13846`, `13847`, `13848`, `13849`, `13850`, `13852`, `13854`, `13855`, `13857`, `13858`, `13859`, `13860`, `13862`, `13865`, `13867`, `13869`, `13871`, `13873`, `13874`, `13876`, `13878`, `13879`, `13882`, `13885`, `13886`, `13888`, `13890`, `13893`, `13894`, `13895`, `13896`, `13897`, `13899`, `13901`, `13903`, `13904`, `13905`, `13906`, `13907`, `13909`, `13911`, `13912`, `13913`, `13914`, `13915`, `13916`, `13918`, `13919`, `13921`, `13922`, `13923`, `13924`, `13925`, `13928`, `13930`, `13932`, `13934`, `13937`, `13939`, `13940`, `13943`, `13944`, `13947`, `13949`, `13950`, `13952`, `13954`, `13956`, `13958`, `13959`, `13961`, `13963`, `13966`, `13968`, `13971`, `13972`, `13973`, `13974`, `13976`, `13978`, `13979`, `13980`, `13982`, `13983`, `13984`, `13986`, `13988`, `13989`, `13991`, `13992`, `13994`, `13995`, `13997`, `13998`, `13999`, `14001`, `14004`, `14006`, `14007`, `14008`, `14009`, `14010`, `14011`, `14014`, `14016`, `14018`, `14019`, `14023`, `14024`, `14025`, `14026`, `14027`, `14028`, `14029`, `14031`, `14032`, `14033`, `14034`, `14036`, `14037`, `14038`, `14041`, `14043`, `14044`, `14048`, `14051`, `14052`, `14054`, `14056`, `14059`, `14062`, `14063`, `14064`, `14066`, `14067`, `14068`, `14070`, `14071`, `14072`, `14073`, `14074`, `14076`, `14078`, `14080`, `14081`, `14082`, `14083`, `14085`, `14086`, `14087`, `14088`, `14089`, `14091`, `14093`, `14094`, `14095`, `14096`, `14098`, `14100`, `14102`, `14103`, `14104`, `14106`, `14107`, `14108`, `14110`, `14112`, `14113`, `14115`, `14118`, `14119`, `14120`, `14121`, `14124`, `14126`, `14127`, `14129`, `14132`, `14134`, `14136`, `14137`, `14139`, `14140`, `14142`, `14144`, `14147`, `14148`, `14149`, `14150`, `14152`, `14153`, `14155`, `14158`, `14160`, `14161`, `14162`, `14163`, `14164`, `14165`, `14166`, `14167`, `14168`, `14169`, `14170`, `14172`, `14174`, `14175`, `14176`, `14177`, `14178`, `14180`, `14181`, `14182`, `14183`, `14184`, `14185`, `14186`, `14189`, `14191`, `14193`, `14194`, `14197`, `14200`, `14201`, `14204`, `14206`, `14207`, `14208`, `14210`, `14211`, `14212`, `14214`, `14215`, `14216`, `14217`, `14218`, `14219`, `14220`, `14221`, `14222`, `14225`, `14228`, `14229`, `14232`, `14233`, `14235`, `14237`, `14238`, `14240`, `14241`, `14242`, `14244`, `14246`, `14248`, `14249`, `14251`, `14252`, `14253`, `14254`, `14258`, `14259`, `14260`, `14261`, `14263`, `14265`, `14266`, `14267`, `14270`, `14271`, `14272`, `14273`, `14274`, `14277`, `14278`, `14279`, `14280`, `14283`, `14284`, `14286`, `14288`, `14289`, `14290`, `14293`, `14294`, `14295`, `14297`, `14298`, `14299`, `14300`, `14301`, `14302`, `14305`, `14307`, `14308`, `14310`, `14311`, `14312`, `14313`, `14314`, `14316`, `14317`, `14319`, `14321`, `14322`, `14324`, `14325`, `14326`, `14328`, `14330`, `14332`, `14333`, `14334`, `14335`, `14336`, `14337`, `14338`, `14339`, `14341`, `14343`, `14344`, `14345`, `14346`, `14348`, `14349`, `14350`, `14351`, `14353`, `14354`, `14356`, `14358`, `14359`, `14361`, `14362`, `14363`, `14364`, `14365`, `14367`, `14368`, `14369`, `14371`, `14375`, `14376`, `14377`, `14380`, `14381`, `14382`, `14383`, `14385`, `14386`, `14388`, `14389`, `14390`, `14391`, `14392`, `14393`, `14396`, `14397`, `14399`, `14401`, `14403`, `14405`, `14406`, `14408`, `14409`, `14410`, `14411`, `14412`, `14414`, `14415`, `14416`, `14417`, `14418`, `14419`, `14420`, `14421`, `14422`, `14424`, `14428`, `14429`, `14431`, `14432`, `14434`, `14436`, `14438`, `14440`, `14441`, `14442`, `14443`, `14444`, `14445`, `14446`, `14447`, `14450`, `14451`, `14452`, `14453`, `14455`, `14456`, `14457`, `14460`, `14461`, `14462`, `14463`, `14465`, `14466`, `14468`, `14469`, `14472`, `14474`, `14475`, `14476`, `14478`, `14479`, `14480`, `14481`, `14482`, `14483`, `14486`, `14490`, `14491`, `14492`, `14494`, `14496`, `14497`, `14498`, `14499`, `14501`, `14502`, `14504`, `14505`, `14506`, `14508`, `14511`, `14512`, `14513`, `14516`, `14517`, `14518`, `14519`, `14520`, `14522`, `14523`, `14524`, `14526`, `14527`, `14528`, `14529`, `14530`, `14531`, `14532`, `14533`, `14534`, `14535`, `14537`, `14539`, `14540`, `14541`, `14542`, `14543`, `14545`, `14546`, `14548`, `14550`, `14551`, `14552`, `14554`, `14555`, `14556`, `14558`, `14559`, `14560`, `14561`, `14563`, `14564`, `14565`, `14567`, `14568`, `14570`, `14571`, `14572`, `14573`, `14575`, `14576`, `14577`, `14578`, `14579`, `14580`, `14581`, `14582`, `14583`, `14585`, `14586`, `14587`, `14590`, `14591`, `14592`, `14594`, `14595`, `14596`, `14597`, `14598`, `14599`, `14601`, `14602`, `14603`, `14605`, `14606`, `14608`, `14609`, `14612`, `14613`, `14614`, `14617`, `14618`, `14620`, `14621`, `14622`, `14624`, `14625`, `14626`, `14628`, `14630`, `14631`, `14633`, `14634`, `14635`, `14637`, `14638`, `14639`, `14640`, `14641`, `14642`, `14643`, `14644`, `14645`, `14647`, `14648`, `14649`, `14652`, `14655`, `14656`, `14658`, `14659`, `14660`, `14661`, `14662`, `14663`, `14664`, `14665`, `14667`, `14668`, `14672`, `14675`, `14678`, `14679`, `14680`, `14681`, `14682`, `14685`, `14686`, `14687`, `14688`, `14689`, `14691`, `14692`, `14694`, `14695`, `14696`, `14697`, `14698`, `14701`, `14702`, `14703`, `14704`, `14705`, `14707`, `14708`, `14711`, `14713`, `14715`, `14716`, `14717`, `14718`, `14720`, `14722`, `14723`, `14725`, `14726`, `14728`, `14729`, `14730`, `14731`, `14732`, `14734`, `14735`, `14736`, `14737`, `14738`, `14740`, `14743`, `14746`, `14747`, `14749`, `14751`, `14752`, `14753`, `14754`, `14756`, `14757`, `14759`, `14760`, `14763`, `14764`, `14766`, `14769`, `14770`, `14771`, `14772`, `14773`, `14774`, `14775`, `14778`, `14779`, `14780`, `14781`, `14784`, `14785`, `14786`, `14787`, `14788`, `14789`, `14791`, `14792`, `14794`, `14796`, `14797`, `14798`, `14800`, `14801`, `14804`, `14805`, `14806`, `14808`, `14812`, `14814`, `14815`, `14816`, `14818`, `14819`, `14821`, `14823`, `14824`, `14826`, `14827`, `14828`, `14830`, `14831`, `14832`, `14834`, `14835`, `14836`, `14837`, `14839`, `14840`, `14841`, `14843`, `14844`, `14845`, `14846`, `14847`, `14848`, `14849`, `14850`, `14851`, `14852`, `14854`, `14857`, `14858`, `14859`, `14861`, `14862`, `14863`, `14865`, `14866`, `14867`, `14868`, `14869`, `14870`, `14871`, `14873`, `14874`, `14875`, `14876`, `14877`, `14879`, `14881`, `14883`, `14884`, `14887`, `14889`, `14891`, `14893`, `14895`, `14896`, `14898`, `14900`, `14902`, `14904`, `14905`, `14906`, `14908`, `14909`, `14910`, `14912`, `14913`, `14914`, `14915`, `14916`, `14918`, `14919`, `14920`, `14921`, `14922`, `14924`, `14926`, `14928`, `14930`, `14931`, `14932`, `14933`, `14934`, `14935`, `14937`, `14938`, `14939`, `14941`, `14942`, `14943`, `14945`, `14946`, `14948`, `14949`, `14951`, `14952`, `14954`, `14956`, `14957`, `14958`, `14960`, `14961`, `14962`, `14963`, `14964`, `14965`, `14966`, `14967`, `14968`, `14969`, `14970`, `14971`, `14974`, `14976`, `14979`, `14980`, `14981`, `14982`, `14984`, `14985`, `14986`, `14987`, `14988`, `14990`, `14992`, `14993`, `14995`, `14997`, `15000`, `15001`, `15002`, `15003`, `15004`, `15005`, `15006`, `15007`, `15009`, `15010`, `15012`, `15013`, `15014`, `15015`, `15017`, `15018`, `15020`, `15021`, `15022`, `15023`, `15024`, `15025`, `15026`, `15027`, `15028`, `15029`, `15030`, `15031`, `15032`, `15033`, `15034`, `15035`, `15036`, `15037`, `15040`, `15041`, `15043`, `15044`, `15046`, `15048`, `15049`, `15050`, `15051`, `15052`, `15053`, `15054`, `15055`, `15058`, `15061`, `15065`, `15066`, `15067`, `15068`, `15069`, `15070`, `15072`, `15075`, `15076`, `15077`, `15078`, `15079`, `15081`, `15084`, `15086`, `15089`, `15091`, `15092`, `15094`, `15095`, `15096`, `15098`, `15099`, `15102`, `15103`, `15105`, `15106`, `15107`, `15108`, `15109`, `15110`, `15111`, `15113`, `15114`, `15116`, `15117`, `15118`, `15120`, `15121`, `15122`, `15123`, `15124`, `15126`, `15128`, `15129`, `15130`, `15133`, `15134`, `15135`, `15136`, `15137`, `15138`, `15139`, `15140`, `15142`, `15144`, `15145`, `15147`, `15148`, `15149`, `15152`, `15153`, `15155`, `15156`, `15158`, `15159`, `15160`, `15161`, `15164`, `15165`, `15166`, `15168`, `15169`, `15171`, `15172`, `15173`, `15174`, `15175`, `15176`, `15177`, `15178`, `15179`, `15180`, `15181`, `15183`, `15184`, `15185`, `15186`, `15188`, `15191`, `15192`, `15194`, `15196`, `15198`, `15199`, `15201`, `15202`, `15203`, `15204`, `15205`, `15207`, `15208`, `15209`, `15210`, `15213`, `15214`, `15216`, `15217`, `15218`, `15219`, `15221`, `15222`, `15224`, `15225`, `15227`, `15228`, `15230`, `15231`, `15232`, `15233`, `15236`, `15237`, `15238`, `15240`, `15242`, `15244`, `15246`, `15247`, `15248`, `15249`, `15252`, `15253`, `15254`, `15255`, `15257`, `15258`, `15259`, `15260`, `15261`, `15262`, `15263`, `15265`, `15266`, `15267`, `15269`, `15271`, `15273`, `15274`, `15275`, `15277`, `15280`, `15281`, `15282`, `15283`, `15285`, `15288`, `15291`, `15293`, `15294`, `15295`, `15296`, `15297`, `15298`, `15299`, `15301`, `15302`, `15304`, `15305`, `15307`, `15308`, `15309`, `15310`, `15313`, `15315`, `15317`, `15318`, `15319`, `15320`, `15322`, `15324`, `15325`, `15326`, `15327`, `15328`, `15331`, `15332`, `15333`, `15335`, `15336`, `15337`, `15338`, `15339`, `15340`, `15341`, `15342`, `15343`, `15345`, `15346`, `15347`, `15350`, `15351`, `15352`, `15354`, `15355`, `15356`, `15359`, `15361`, `15362`, `15363`, `15365`, `15366`, `15368`, `15369`, `15370`, `15372`, `15373`, `15374`, `15375`, `15378`, `15380`, `15381`, `15382`, `15383`, `15384`, `15385`, `15387`, `15391`, `15393`, `15394`, `15395`, `15397`, `15398`, `15399`, `15400`, `15403`, `15405`, `15406`, `15408`, `15409`, `15410`, `15412`, `15413`, `15415`, `15418`, `15419`, `15421`, `15423`, `15424`, `15425`, `15426`, `15428`, `15430`, `15432`, `15434`, `15438`, `15439`, `15440`, `15441`, `15442`, `15443`, `15445`, `15447`, `15451`, `15452`, `15453`, `15454`, `15455`, `15456`, `15457`, `15460`, `15461`, `15462`, `15463`, `15465`, `15466`, `15467`, `15468`, `15469`, `15472`, `15473`, `15475`, `15476`, `15477`, `15481`, `15484`, `15485`, `15487`, `15488`, `15489`, `15491`, `15492`, `15493`, `15495`, `15496`, `15498`, `15499`, `15501`, `15503`, `15504`, `15505`, `15507`, `15508`, `15510`, `15511`, `15512`, `15513`, `15514`, `15515`, `15516`, `15517`, `15518`, `15519`, `15520`, `15523`, `15524`, `15525`, `15526`, `15527`, `15528`, `15529`, `15530`, `15531`, `15532`, `15533`, `15535`, `15536`, `15537`, `15538`, `15539`, `15540`, `15541`, `15542`, `15543`, `15544`, `15545`, `15547`, `15548`, `15549`, `15550`, `15551`, `15554`, `15555`, `15556`, `15558`, `15559`, `15560`, `15562`, `15563`, `15564`, `15566`, `15567`, `15568`, `15569`, `15570`, `15571`, `15572`, `15573`, `15574`, `15575`, `15576`, `15578`, `15579`, `15581`, `15582`, `15584`, `15585`, `15586`, `15587`, `15588`, `15591`, `15592`, `15593`, `15594`, `15595`, `15596`, `15598`, `15602`, `15603`, `15605`, `15606`, `15607`, `15608`, `15609`, `15610`, `15612`, `15613`, `15614`, `15615`, `15616`, `15618`, `15619`, `15620`, `15622`, `15623`, `15625`, `15626`, `15629`, `15630`, `15632`, `15634`, `15635`, `15636`, `15638`, `15639`, `15640`, `15641`, `15642`, `15644`, `15645`, `15646`, `15648`, `15649`, `15650`, `15653`, `15654`, `15655`, `15656`, `15657`, `15658`, `15659`, `15660`, `15661`, `15663`, `15664`, `15665`, `15666`, `15667`, `15668`, `15669`, `15670`, `15671`, `15672`, `15673`, `15674`, `15675`, `15676`, `15677`, `15678`, `15679`, `15680`, `15682`, `15684`, `15687`, `15689`, `15691`, `15692`, `15693`, `15694`, `15695`, `15698`, `15699`, `15700`, `15703`, `15704`, `15707`, `15710`, `15712`, `15713`, `15714`, `15715`, `15717`, `15718`, `15719`, `15720`, `15721`, `15723`, `15724`, `15725`, `15726`, `15727`, `15729`, `15730`, `15732`, `15733`, `15734`, `15736`, `15738`, `15740`, `15741`, `15744`, `15745`, `15746`, `15748`, `15750`, `15751`, `15752`, `15754`, `15755`, `15756`, `15757`, `15758`, `15759`, `15761`, `15763`, `15765`, `15767`, `15770`, `15771`, `15772`, `15773`, `15774`, `15775`, `15776`, `15777`, `15780`, `15781`, `15783`, `15785`, `15786`, `15787`, `15788`, `15791`, `15792`, `15793`, `15794`, `15795`, `15798`, `15799`, `15800`, `15801`, `15804`, `15805`, `15806`, `15807`, `15808`, `15809`, `15810`, `15811`, `15812`, `15813`, `15814`, `15815`, `15816`, `15818`, `15819`, `15820`, `15821`, `15822`, `15823`, `15824`, `15827`, `15828`, `15829`, `15830`, `15831`, `15832`, `15833`, `15836`, `15837`, `15839`, `15841`, `15844`, `15845`, `15846`, `15850`, `15851`, `15852`, `15853`, `15854`, `15855`, `15856`, `15857`, `15858`, `15859`, `15861`, `15862`, `15863`, `15864`, `15865`, `15866`, `15868`, `15870`, `15871`, `15873`, `15874`, `15875`, `15876`, `15878`, `15880`, `15882`, `15885`, `15887`, `15888`, `15889`, `15891`, `15892`, `15893`, `15894`, `15895`, `15897`, `15899`, `15901`, `15903`, `15906`, `15909`, `15910`, `15911`, `15913`, `15916`, `15917`, `15918`, `15919`, `15920`, `15921`, `15923`, `15925`, `15926`, `15930`, `15932`, `15933`, `15934`, `15937`, `15939`, `15942`, `15944`, `15946`, `15947`, `15948`, `15949`, `15951`, `15952`, `15954`, `15955`, `15956`, `15957`, `15958`, `15960`, `15962`, `15964`, `15965`, `15966`, `15968`, `15970`, `15971`, `15972`, `15973`, `15974`, `15975`, `15977`, `15978`, `15980`, `15981`, `15982`, `15983`, `15984`, `15985`, `15986`, `15987`, `15988`, `15989`, `15990`, `15991`, `15992`, `15995`, `15996`, `15998`, `15999`, `16000`, `16001`, `16002`, `16003`, `16004`, `16005`, `16006`, `16008`, `16009`, `16011`, `16013`, `16014`, `16015`, `16017`, `16018`, `16019`, `16020`, `16021`, `16022`, `16023`, `16025`, `16026`, `16027`, `16029`, `16030`, `16031`, `16032`, `16033`, `16034`, `16037`, `16038`, `16041`, `16042`, `16043`, `16044`, `16045`, `16047`, `16050`, `16051`, `16052`, `16053`, `16056`, `16057`, `16060`, `16061`, `16063`, `16064`, `16066`, `16067`, `16070`, `16071`, `16073`, `16075`, `16077`, `16078`, `16079`, `16081`, `16082`, `16083`, `16084`, `16085`, `16086`, `16088`, `16089`, `16091`, `16092`, `16094`, `16095`, `16096`, `16098`, `16100`, `16102`, `16104`, `16106`, `16110`, `16112`, `16113`, `16114`, `16115`, `16116`, `16117`, `16119`, `16120`, `16121`, `16123`, `16127`, `16128`, `16130`, `16131`, `16132`, `16133`, `16134`, `16136`, `16137`, `16139`, `16140`, `16141`, `16142`, `16143`, `16144`, `16145`, `16146`, `16147`, `16149`, `16151`, `16153`, `16155`, `16157`, `16158`, `16159`, `16160`, `16161`, `16163`, `16165`, `16166`, `16167`, `16168`, `16169`, `16170`, `16171`, `16173`, `16174`, `16176`, `16178`, `16181`, `16183`, `16184`, `16185`, `16187`, `16188`, `16189`, `16190`, `16192`, `16193`, `16195`, `16196`, `16197`, `16200`, `16201`, `16202`, `16203`, `16205`, `16208`, `16209`, `16210`, `16211`, `16212`, `16213`, `16215`, `16216`, `16218`, `16219`, `16220`, `16221`, `16224`, `16225`, `16226`, `16227`, `16229`, `16230`, `16234`, `16235`, `16236`, `16237`, `16238`, `16239`, `16240`, `16242`, `16244`, `16245`, `16247`, `16249`, `16250`, `16251`, `16252`, `16254`, `16257`, `16258`, `16259`, `16260`, `16261`, `16262`, `16264`, `16265`, `16267`, `16268`, `16270`, `16271`, `16272`, `16274`, `16277`, `16278`, `16279`, `16280`, `16283`, `16286`, `16290`, `16291`, `16292`, `16294`, `16295`, `16296`, `16298`, `16299`, `16301`, `16302`, `16303`, `16305`, `16306`, `16307`, `16308`, `16309`, `16310`, `16312`, `16313`, `16314`, `16315`, `16316`, `16317`, `16319`, `16320`, `16321`, `16322`, `16328`, `16329`, `16331`, `16333`, `16334`, `16336`, `16337`, `16339`, `16341`, `16342`, `16344`, `16347`, `16349`, `16351`, `16353`, `16355`, `16357`, `16358`, `16359`, `16360`, `16361`, `16362`, `16363`, `16365`, `16367`, `16368`, `16371`, `16373`, `16375`, `16376`, `16378`, `16379`, `16380`, `16382`, `16383`, `16385`, `16386`, `16387`, `16388`, `16389`, `16391`, `16392`, `16394`, `16395`, `16396`, `16398`, `16399`, `16400`, `16401`, `16402`, `16403`, `16404`, `16405`, `16406`, `16407`, `16408`, `16410`, `16412`, `16413`, `16414`, `16416`, `16417`, `16418`, `16419`, `16421`, `16422`, `16423`, `16425`, `16427`, `16429`, `16430`, `16431`, `16432`, `16433`, `16434`, `16437`, `16438`, `16440`, `16441`, `16443`, `16444`, `16446`, `16448`, `16449`, `16451`, `16452`, `16454`, `16456`, `16458`, `16459`, `16460`, `16461`, `16462`, `16463`, `16465`, `16466`, `16467`, `16468`, `16469`, `16470`, `16471`, `16472`, `16475`, `16476`, `16477`, `16480`, `16482`, `16483`, `16485`, `16486`, `16487`, `16488`, `16489`, `16491`, `16492`, `16493`, `16494`, `16496`, `16497`, `16498`, `16499`, `16500`, `16501`, `16503`, `16504`, `16505`, `16506`, `16507`, `16508`, `16509`, `16512`, `16513`, `16514`, `16515`, `16517`, `16518`, `16519`, `16520`, `16521`, `16523`, `16524`, `16526`, `16528`, `16530`, `16531`, `16533`, `16534`, `16535`, `16536`, `16537`, `16538`, `16539`, `16540`, `16542`, `16546`, `16549`, `16550`, `16552`, `16554`, `16555`, `16556`, `16557`, `16559`, `16561`, `16562`, `16563`, `16564`, `16566`, `16567`, `16568`, `16569`, `16570`, `16572`, `16574`, `16575`, `16576`, `16580`, `16582`, `16583`, `16585`, `16586`, `16587`, `16588`, `16591`, `16593`, `16594`, `16595`, `16597`, `16599`, `16600`, `16601`, `16605`, `16606`, `16607`, `16608`, `16609`, `16610`, `16611`, `16612`, `16613`, `16614`, `16615`, `16616`, `16617`, `16618`, `16619`, `16620`, `16622`, `16623`, `16626`, `16627`, `16628`, `16629`, `16630`, `16632`, `16633`, `16634`, `16636`, `16637`, `16638`, `16640`, `16642`, `16644`, `16645`, `16646`, `16648`, `16650`, `16651`, `16653`, `16654`, `16655`, `16657`, `16658`, `16660`, `16661`, `16662`, `16663`, `16664`, `16666`, `16667`, `16668`, `16671`, `16672`, `16674`, `16675`, `16677`, `16678`, `16679`, `16680`, `16681`, `16682`, `16683`, `16684`, `16685`, `16686`, `16687`, `16688`, `16690`, `16691`, `16692`, `16693`, `16694`, `16695`, `16696`, `16697`, `16698`, `16699`, `16700`, `16701`, `16702`, `16704`, `16705`, `16707`, `16708`, `16709`, `16711`, `16712`, `16715`, `16717`, `16718`, `16719`, `16722`, `16723`, `16725`, `16728`, `16730`, `16731`, `16735`, `16736`, `16738`, `16739`, `16742`, `16743`, `16744`, `16745`, `16746`, `16747`, `16748`, `16749`, `16751`, `16752`, `16753`, `16754`, `16755`, `16757`, `16758`, `16760`, `16761`, `16762`, `16763`, `16766`, `16767`, `16770`, `16771`, `16772`, `16773`, `16776`, `16777`, `16780`, `16781`, `16783`, `16785`, `16788`, `16789`, `16791`, `16792`, `16794`, `16795`, `16798`, `16799`, `16801`, `16802`, `16803`, `16804`, `16805`, `16806`, `16808`, `16809`, `16812`, `16814`, `16816`, `16819`, `16820`, `16821`, `16822`, `16823`, `16825`, `16826`, `16827`, `16829`, `16830`, `16831`, `16832`, `16833`, `16834`, `16837`, `16840`, `16841`, `16842`, `16844`, `16845`, `16847`, `16848`, `16849`, `16851`, `16853`, `16855`, `16857`, `16859`, `16861`, `16862`, `16864`, `16865`, `16866`, `12423`, `16867`, `16869`, `16871`, `16872`, `16873`, `16874`, `16875`, `16877`, `16878`, `16880`, `16881`, `16882`, `16883`, `16884`, `16886`, `16889`, `16890`, `16892`, `16893`, `16894`, `16897`, `16898`, `16900`, `16901`, `16903`, `16905`, `16907`, `16908`, `16909`, `16911`, `16913`, `16915`, `16916`, `16917`, `16919`, `16922`, `16923`, `16924`, `16925`, `16926`, `16927`, `16928`, `16929`, `16930`, `16931`, `16932`, `16933`, `16934`, `16935`, `16936`, `16937`, `16938`, `16939`, `16940`, `16941`, `16942`, `16943`, `16944`, `16946`, `16947`, `16948`, `16949`, `16950`, `16951`, `16954`, `16955`, `16956`, `16957`, `16958`, `16961`, `16963`, `16964`, `16965`, `16967`, `16968`, `16970`, `16973`, `16975`, `16976`, `16977`, `16978`, `16979`, `16982`, `16984`, `16986`, `16988`, `16989`, `16991`, `16994`, `16995`, `16997`, `16999`, `17000`, `17001`, `17002`, `17003`, `17005`, `17006`, `17007`, `17008`, `17010`, `17013`, `17017`, `17018`, `17020`, `17021`, `17022`, `17025`, `17027`, `17028`, `17029`, `17030`, `17032`, `17033`, `17034`, `17036`, `17038`, `17039`, `17041`, `17042`, `17044`, `17045`, `17046`, `17047`, `17050`, `17051`, `17052`, `17054`, `17055`, `17057`, `17058`, `17061`, `17063`, `17064`, `17067`, `17069`, `17072`, `17073`, `17074`, `17076`, `17078`, `17079`, `17082`, `17083`, `17084`, `17086`, `17088`, `17090`, `17091`, `17092`, `17094`, `17095`, `17096`, `17097`, `17098`, `17099`, `17101`, `17102`, `17103`, `17104`, `17105`, `17106`, `17108`, `17109`, `17111`, `17113`, `17114`, `17116`, `17117`, `17119`, `17122`, `17123`, `17125`, `17126`, `17127`, `17129`, `17130`, `17132`, `17135`, `17136`, `17139`, `17141`, `17142`, `17143`, `17145`, `17148`, `17149`, `17150`, `17151`, `17154`, `17155`, `17156`, `17158`, `17159`, `17160`, `17161`, `17162`, `17163`, `17164`, `17165`, `17166`, `17168`, `17171`, `17173`, `17175`, `17177`, `17180`, `17181`, `17182`, `17183`, `17184`, `17185`, `17187`, `17188`, `17190`, `17193`, `17195`, `17199`, `17200`, `17202`, `17204`, `17205`, `17206`, `17209`, `17210`, `17211`, `17212`, `17214`, `17215`, `17216`, `17217`, `17220`, `17221`, `17222`, `17224`, `17227`, `17230`, `17232`, `17233`, `17234`, `17235`, `17236`, `17237`, `17238`, `17239`, `17241`, `17242`, `17245`, `17247`, `17249`, `17251`, `17252`, `17253`, `17255`, `17258`, `17260`, `17261`, `17262`, `17263`, `17264`, `17265`, `17266`, `17267`, `17268`, `17269`, `17270`, `17271`, `17272`, `17273`, `17274`, `17275`, `17276`, `17278`, `17279`, `17281`, `17282`, `17283`, `17284`, `17288`, `17290`, `17292`, `17293`, `17295`, `17296`, `17297`, `17298`, `17300`, `17301`, `17302`, `17303`, `17305`, `17306`, `17307`, `17309`, `17310`, `17311`, `17312`, `17314`, `17315`, `17316`, `17318`, `17319`, `17321`, `17322`, `17323`, `17327`, `17328`, `17329`, `17330`, `17331`, `17332`, `17333`, `17335`, `17338`, `17340`, `17341`, `17342`, `17343`, `17345`, `17346`, `17349`, `17350`, `17352`, `17353`, `17354`, `17355`, `17356`, `17357`, `17359`, `17360`, `17363`, `17365`, `17366`, `17367`, `17368`, `17370`, `17371`, `17372`, `17373`, `17375`, `17377`, `17378`, `17381`, `17382`, `17383`, `17384`, `17385`, `17386`, `17389`, `17390`, `17391`, `17392`, `17393`, `17396`, `17398`, `17399`, `17401`, `17402`, `17404`, `17406`, `17407`, `17408`, `17409`, `17410`, `17412`, `17413`, `17414`, `17415`, `17416`, `17417`, `17418`, `17419`, `17420`, `17421`, `17423`, `17425`, `17426`, `17428`, `17429`, `17430`, `17431`, `17432`, `17434`, `17436`, `17438`, `17440`, `17441`, `17443`, `17445`, `17446`, `17447`, `17448`, `17450`, `17452`, `17454`, `17455`, `17456`, `17457`, `17458`, `17459`, `17461`, `17462`, `17463`, `17464`, `17465`, `17467`, `17468`, `17469`, `17470`, `17471`, `17472`, `17473`, `17474`, `17475`, `17476`, `17478`, `17479`, `17483`, `17485`, `17486`, `17489`, `17490`, `17491`, `17492`, `17493`, `17494`, `17496`, `17497`, `17499`, `17500`, `17501`, `17504`, `17505`, `17507`, `17508`, `17509`, `17512`, `17513`, `17514`, `17515`, `17517`, `17518`, `17519`, `17520`, `17522`, `17523`, `17524`, `17525`, `17526`, `17527`, `17529`, `17531`, `17532`, `17533`, `17534`, `17535`, `17536`, `17537`, `17538`, `17539`, `17540`, `17541`, `17542`, `17543`, `17545`, `17547`, `17548`, `17549`, `17550`, `17551`, `17552`, `17553`, `17556`, `17557`, `17560`, `17561`, `17562`, `17563`, `17566`, `17567`, `17568`, `17570`, `17572`, `17573`, `17574`, `17576`, `17578`, `17580`, `17581`, `17582`, `17583`, `17584`, `17585`, `17586`, `17587`, `17589`, `17590`, `17591`, `17593`, `17595`, `17596`, `17598`, `17599`, `17600`, `17601`, `17602`, `17603`, `17604`, `17605`, `17606`, `17607`, `17608`, `17609`, `17610`, `17613`, `17615`, `17616`, `17617`, `17619`, `17620`, `17622`, `17623`, `17624`, `17625`, `17626`, `17628`, `17629`, `17630`, `17632`, `17633`, `17634`, `17635`, `17638`, `17639`, `17641`, `17642`, `17643`, `17644`, `17645`, `17646`, `17647`, `17648`, `17650`, `17652`, `17653`, `17654`, `17656`, `17658`, `17661`, `17662`, `17663`, `17664`, `17666`, `17667`, `17668`, `17669`, `17672`, `17674`, `17675`, `17676`, `17677`, `17678`, `17679`, `17680`, `17681`, `17683`, `17684`, `17687`, `17688`, `17689`, `17691`, `17692`, `17694`, `17697`, `17698`, `17700`, `17701`, `17702`, `17703`, `17706`, `17707`, `17709`, `17713`, `17714`, `17715`, `17717`, `17718`, `17719`, `17720`, `17722`, `17723`, `17725`, `17726`, `17727`, `17729`, `17730`, `17732`, `17733`, `17737`, `17738`, `17739`, `17740`, `17741`, `17743`, `17744`, `17745`, `17747`, `17749`, `17752`, `17753`, `17754`, `17756`, `17760`, `17761`, `17762`, `17763`, `17764`, `17766`, `17767`, `17769`, `17771`, `17773`, `17775`, `17776`, `17778`, `17779`, `17780`, `17781`, `17782`, `17784`, `17787`, `17790`, `17792`, `17794`, `17795`, `17796`, `17797`, `17798`, `17802`, `17804`, `17805`, `17807`, `17808`, `17809`, `17811`, `17813`, `17816`, `17817`, `17818`, `17819`, `17820`, `17821`, `17822`, `17823`, `17825`, `17826`, `17827`, `17828`, `17829`, `17830`, `17831`, `17832`, `17833`, `17834`, `17835`, `17836`, `17837`, `17838`, `17840`, `17841`, `17842`, `17843`, `17844`, `17846`, `17848`, `17849`, `17850`, `17852`, `17853`, `17854`, `17855`, `17856`, `17858`, `17860`, `17863`, `17864`, `17865`, `17869`, `17871`, `17873`, `17875`, `17876`, `17879`, `17881`, `17884`, `17887`, `17890`, `17891`, `17892`, `17894`, `17895`, `17896`, `17897`, `17898`, `17901`, `17902`, `17903`, `17904`, `17907`, `17908`, `17909`, `17910`, `17912`, `17914`, `17917`, `17918`, `17923`, `17925`, `17927`, `17929`, `17930`, `17932`, `17934`, `17935`, `17937`, `17939`, `17940`, `17941`, `17942`, `17943`, `17945`, `17946`, `17948`, `17949`, `17951`, `17952`, `17954`, `17955`, `17956`, `17957`, `17958`, `17959`, `17961`, `17962`, `17964`, `17965`, `17967`, `17968`, `17971`, `17972`, `17973`, `17975`, `17976`, `17977`, `17978`, `17980`, `17982`, `17984`, `17985`, `17988`, `17989`, `17991`, `17993`, `17995`, `17996`, `17998`, `18000`, `18002`, `18004`, `18005`, `18006`, `18011`, `18012`, `18014`, `18015`, `18016`, `18017`, `18018`, `18019`, `18023`, `18024`, `18026`, `18028`, `18029`, `18030`, `18031`, `18032`, `18033`, `18034`, `18035`, `18036`, `18037`, `18038`, `18039`, `18040`, `18041`, `18042`, `18043`, `18044`, `18045`, `18047`, `18048`, `18050`, `18053`, `18054`, `18055`, `18056`, `18057`, `18059`, `18061`, `18062`, `18064`, `18065`, `18067`, `18068`, `18070`, `18071`, `18073`, `18074`, `18076`, `18078`, `18079`, `18081`, `18082`, `18085`, `18086`, `18087`, `18088`, `18091`, `18092`, `18093`, `18095`, `18096`, `18098`, `18099`, `18102`, `18104`, `18106`, `18108`, `18109`, `18110`, `18112`, `18113`, `18114`, `18115`, `18116`, `18117`, `18118`, `18120`, `18122`, `18124`, `18127`, `18129`, `18130`, `18132`, `18133`, `18134`, `18138`, `18140`, `18142`, `18144`, `18145`, `18147`, `18148`, `18149`, `18150`, `18153`, `18155`, `18157`, `18158`, `18159`, `18160`, `18162`, `18164`, `18167`, `18168`, `18169`, `18170`, `18172`, `18173`, `18176`, `18177`, `18179`, `18181`, `18182`, `18184`, `18186`, `18188`, `18189`, `18192`, `18193`, `18194`, `18195`, `18196`, `18197`, `18198`, `18200`, `18201`, `18203`, `18204`, `18205`, `18207`, `18208`, `18211`, `18213`, `18214`, `18215`, `18216`, `18218`, `18219`, `18220`, `18222`, `18224`, `18226`, `18227`, `18228`, `18229`, `18232`, `18234`, `18236`, `18237`, `18238`, `18239`, `18241`, `18242`, `18243`, `18244`, `18245` |
</details>
### Accuracy
| Type | Score |
| --- | --- |
| `TOKEN_F` | 99.79 |
| `TOKEN_P` | 99.79 |
| `TOKEN_R` | 99.80 |
| `TOKEN_ACC` | 99.97 |
| `SENTS_F` | 96.20 |
| `SENTS_P` | 96.95 |
| `SENTS_R` | 95.45 |
| `TAG_ACC` | 98.33 |
| `POS_ACC` | 97.91 |
| `MORPH_ACC` | 95.92 |
| `DEP_UAS` | 91.92 |
| `DEP_LAS` | 89.41 |
| `LEMMA_ACC` | 88.22 | |
explosion/vi_udv25_vietnamesevtb_trf | explosion | 2021-12-11T02:51:16Z | 8 | 0 | spacy | [
"spacy",
"token-classification",
"vi",
"license:cc-by-sa-4.0",
"model-index",
"region:us"
] | token-classification | 2022-03-02T23:29:05Z | ---
tags:
- spacy
- token-classification
language:
- vi
license: cc-by-sa-4.0
model-index:
- name: vi_udv25_vietnamesevtb_trf
results:
- task:
name: TAG
type: token-classification
metrics:
- name: TAG (XPOS) Accuracy
type: accuracy
value: 0.8805048216
- task:
name: POS
type: token-classification
metrics:
- name: POS (UPOS) Accuracy
type: accuracy
value: 0.9018631331
- task:
name: MORPH
type: token-classification
metrics:
- name: Morph (UFeats) Accuracy
type: accuracy
value: 0.9695345305
- task:
name: LEMMA
type: token-classification
metrics:
- name: Lemma Accuracy
type: accuracy
value: 0.8934519139
- task:
name: UNLABELED_DEPENDENCIES
type: token-classification
metrics:
- name: Unlabeled Attachment Score (UAS)
type: f_score
value: 0.6807696182
- task:
name: LABELED_DEPENDENCIES
type: token-classification
metrics:
- name: Labeled Attachment Score (LAS)
type: f_score
value: 0.6063552526
- task:
name: SENTS
type: token-classification
metrics:
- name: Sentences F-Score
type: f_score
value: 0.943275972
---
UD v2.5 benchmarking pipeline for UD_Vietnamese-VTB
| Feature | Description |
| --- | --- |
| **Name** | `vi_udv25_vietnamesevtb_trf` |
| **Version** | `0.0.1` |
| **spaCy** | `>=3.2.1,<3.3.0` |
| **Default Pipeline** | `experimental_char_ner_tokenizer`, `transformer`, `tagger`, `morphologizer`, `parser`, `experimental_edit_tree_lemmatizer` |
| **Components** | `experimental_char_ner_tokenizer`, `transformer`, `senter`, `tagger`, `morphologizer`, `parser`, `experimental_edit_tree_lemmatizer` |
| **Vectors** | 0 keys, 0 unique vectors (0 dimensions) |
| **Sources** | [Universal Dependencies v2.5](https://lindat.mff.cuni.cz/repository/xmlui/handle/11234/1-3105) (Zeman, Daniel; et al.) |
| **License** | `CC BY-SA 4.0` |
| **Author** | [Explosion](https://explosion.ai) |
### Label Scheme
<details>
<summary>View label scheme (81 labels for 6 components)</summary>
| Component | Labels |
| --- | --- |
| **`experimental_char_ner_tokenizer`** | `TOKEN` |
| **`senter`** | `I`, `S` |
| **`tagger`** | `!`, `"`, `,`, `-`, `.`, `...`, `:`, `;`, `?`, `@`, `A`, `C`, `CC`, `E`, `I`, `L`, `LBKT`, `M`, `N`, `NP`, `Nb`, `Nc`, `Np`, `Nu`, `Ny`, `P`, `R`, `RBKT`, `T`, `V`, `VP`, `X`, `Y`, `Z` |
| **`morphologizer`** | `POS=NOUN`, `POS=ADP`, `POS=X\|Polarity=Neg`, `POS=VERB`, `POS=ADJ`, `POS=PUNCT`, `POS=X`, `POS=SCONJ`, `NumType=Card\|POS=NUM`, `POS=DET`, `POS=CCONJ`, `POS=PROPN`, `POS=AUX`, `POS=PART`, `POS=INTJ` |
| **`parser`** | `ROOT`, `advcl`, `advmod`, `amod`, `appos`, `aux`, `aux:pass`, `case`, `cc`, `ccomp`, `compound`, `conj`, `cop`, `csubj`, `dep`, `det`, `discourse`, `iobj`, `list`, `mark`, `nmod`, `nsubj`, `nummod`, `obj`, `obl`, `parataxis`, `punct`, `xcomp` |
| **`experimental_edit_tree_lemmatizer`** | `0` |
</details>
### Accuracy
| Type | Score |
| --- | --- |
| `TOKEN_F` | 87.90 |
| `TOKEN_P` | 86.84 |
| `TOKEN_R` | 89.00 |
| `TOKEN_ACC` | 98.42 |
| `SENTS_F` | 94.33 |
| `SENTS_P` | 96.23 |
| `SENTS_R` | 92.50 |
| `TAG_ACC` | 88.05 |
| `POS_ACC` | 90.19 |
| `MORPH_ACC` | 96.95 |
| `DEP_UAS` | 68.08 |
| `DEP_LAS` | 60.64 |
| `LEMMA_ACC` | 89.35 | |
jimmyliao/distilbert-base-uncased-finetuned-cola | jimmyliao | 2021-12-11T01:27:10Z | 4 | 0 | transformers | [
"transformers",
"pytorch",
"distilbert",
"text-classification",
"generated_from_trainer",
"dataset:glue",
"license:apache-2.0",
"model-index",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | text-classification | 2022-03-02T23:29:05Z | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- glue
metrics:
- matthews_correlation
model-index:
- name: distilbert-base-uncased-finetuned-cola
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: glue
type: glue
args: cola
metrics:
- name: Matthews Correlation
type: matthews_correlation
value: 0.541356878970505
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# distilbert-base-uncased-finetuned-cola
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the glue dataset.
It achieves the following results on the evaluation set:
- Loss: 0.8394
- Matthews Correlation: 0.5414
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
### Training results
| Training Loss | Epoch | Step | Validation Loss | Matthews Correlation |
|:-------------:|:-----:|:----:|:---------------:|:--------------------:|
| 0.5259 | 1.0 | 535 | 0.5429 | 0.4064 |
| 0.342 | 2.0 | 1070 | 0.5270 | 0.5081 |
| 0.234 | 3.0 | 1605 | 0.6115 | 0.5268 |
| 0.1703 | 4.0 | 2140 | 0.7344 | 0.5387 |
| 0.1283 | 5.0 | 2675 | 0.8394 | 0.5414 |
### Framework versions
- Transformers 4.13.0
- Pytorch 1.8.0+cpu
- Datasets 1.16.1
- Tokenizers 0.10.3
|
explosion/sk_udv25_slovaksnk_trf | explosion | 2021-12-11T01:20:54Z | 1 | 1 | spacy | [
"spacy",
"token-classification",
"sk",
"license:cc-by-sa-4.0",
"model-index",
"region:us"
] | token-classification | 2022-03-02T23:29:05Z | ---
tags:
- spacy
- token-classification
language:
- sk
license: cc-by-sa-4.0
model-index:
- name: sk_udv25_slovaksnk_trf
results:
- task:
name: TAG
type: token-classification
metrics:
- name: TAG (XPOS) Accuracy
type: accuracy
value: 0.911977492
- task:
name: POS
type: token-classification
metrics:
- name: POS (UPOS) Accuracy
type: accuracy
value: 0.9720257235
- task:
name: MORPH
type: token-classification
metrics:
- name: Morph (UFeats) Accuracy
type: accuracy
value: 0.9389871383
- task:
name: LEMMA
type: token-classification
metrics:
- name: Lemma Accuracy
type: accuracy
value: 0.9173633441
- task:
name: UNLABELED_DEPENDENCIES
type: token-classification
metrics:
- name: Unlabeled Attachment Score (UAS)
type: f_score
value: 0.9414137624
- task:
name: LABELED_DEPENDENCIES
type: token-classification
metrics:
- name: Labeled Attachment Score (LAS)
type: f_score
value: 0.909517332
- task:
name: SENTS
type: token-classification
metrics:
- name: Sentences F-Score
type: f_score
value: 0.9212635549
---
UD v2.5 benchmarking pipeline for UD_Slovak-SNK
| Feature | Description |
| --- | --- |
| **Name** | `sk_udv25_slovaksnk_trf` |
| **Version** | `0.0.1` |
| **spaCy** | `>=3.2.1,<3.3.0` |
| **Default Pipeline** | `experimental_char_ner_tokenizer`, `transformer`, `tagger`, `morphologizer`, `parser`, `experimental_edit_tree_lemmatizer` |
| **Components** | `experimental_char_ner_tokenizer`, `transformer`, `senter`, `tagger`, `morphologizer`, `parser`, `experimental_edit_tree_lemmatizer` |
| **Vectors** | 0 keys, 0 unique vectors (0 dimensions) |
| **Sources** | [Universal Dependencies v2.5](https://lindat.mff.cuni.cz/repository/xmlui/handle/11234/1-3105) (Zeman, Daniel; et al.) |
| **License** | `CC BY-SA 4.0` |
| **Author** | [Explosion](https://explosion.ai) |
### Label Scheme
<details>
<summary>View label scheme (4879 labels for 6 components)</summary>
| Component | Labels |
| --- | --- |
| **`experimental_char_ner_tokenizer`** | `TOKEN` |
| **`senter`** | `I`, `S` |
| **`tagger`** | `#`, `%`, `0`, `?`, `AAfp1x`, `AAfp1x:q`, `AAfp1x:r`, `AAfp1y`, `AAfp1z`, `AAfp2x`, `AAfp2x:r`, `AAfp2y`, `AAfp2z`, `AAfp3x`, `AAfp4x`, `AAfp4y`, `AAfp6x`, `AAfp6x:q`, `AAfp6y`, `AAfp7x`, `AAfs1:r`, `AAfs1x`, `AAfs1x:q`, `AAfs1x:r`, `AAfs1y`, `AAfs1z`, `AAfs2x`, `AAfs2x:q`, `AAfs2x:r`, `AAfs2z`, `AAfs2z:r`, `AAfs3x`, `AAfs3x:r`, `AAfs3y`, `AAfs4x`, `AAfs4x:r`, `AAfs4y`, `AAfs4z`, `AAfs6x`, `AAfs6x:r`, `AAfs6y`, `AAfs7x`, `AAfs7x:r`, `AAfs7z`, `AAip1x`, `AAip1y`, `AAip2x`, `AAip2x:r`, `AAip2y`, `AAip2z`, `AAip3x`, `AAip4x`, `AAip4y`, `AAip4z`, `AAip6x`, `AAip6x:r`, `AAip6z`, `AAip7x`, `AAis1x`, `AAis1x:r`, `AAis1y`, `AAis1z`, `AAis2`, `AAis2x`, `AAis2x:r`, `AAis2y`, `AAis2z`, `AAis3x`, `AAis3x:r`, `AAis3y`, `AAis3z`, `AAis4x`, `AAis4x:r`, `AAis4y`, `AAis4z`, `AAis6x`, `AAis6x:r`, `AAis6z`, `AAis7`, `AAis7x`, `AAis7y`, `AAis7z`, `AAmp1`, `AAmp1x`, `AAmp1y`, `AAmp1z`, `AAmp2x`, `AAmp2y`, `AAmp2z`, `AAmp3x`, `AAmp3z`, `AAmp4x`, `AAmp4y`, `AAmp6x`, `AAmp7x`, `AAmp7z`, `AAms1:r`, `AAms1x`, `AAms1x:q`, `AAms1x:r`, `AAms1y`, `AAms1z`, `AAms2x`, `AAms2x:r`, `AAms3x`, `AAms4x`, `AAms4y`, `AAms4z`, `AAms6x`, `AAms7x`, `AAms7x:r`, `AAms7z`, `AAnp1x`, `AAnp1x:r`, `AAnp1y`, `AAnp2x`, `AAnp2z`, `AAnp3x`, `AAnp4x`, `AAnp4z`, `AAnp6x`, `AAnp7x`, `AAns1x`, `AAns1x:r`, `AAns1y`, `AAns1z`, `AAns2:r`, `AAns2x`, `AAns2x:r`, `AAns2y`, `AAns3x`, `AAns3y`, `AAns4x`, `AAns4x:q`, `AAns4x:r`, `AAns4y`, `AAns4z`, `AAns6x`, `AAns6x:r`, `AAns6y`, `AAns7x`, `AAns7z`, `AAop2x`, `AFfp1x:r`, `AFfp2x`, `AFfp2x:r`, `AFfp3x`, `AFfp4:r`, `AFfp4x`, `AFfp4x:r`, `AFfs1:r`, `AFfs1x`, `AFfs1x:r`, `AFfs2x`, `AFfs2x:r`, `AFfs3x:r`, `AFfs4x`, `AFfs4x:r`, `AFfs6x`, `AFfs6x:r`, `AFfs7x`, `AFfs7x:r`, `AFip1x`, `AFip1x:r`, `AFip2x:r`, `AFip4x`, `AFip4x:r`, `AFip6x:r`, `AFip7x:r`, `AFis1x`, `AFis1x:r`, `AFis2x:r`, `AFis4x`, `AFis4x:r`, `AFis6x:r`, `AFis7x`, `AFis7x:r`, `AFmp1x:r`, `AFmp1y`, `AFmp2x`, `AFmp3x:r`, `AFmp4x:r`, `AFmp7x`, `AFms1x`, `AFms1x:r`, `AFms2x`, `AFms2x:r`, `AFms4x`, `AFms4x:r`, `AFms7x`, `AFms7x:r`, `AFnp1x`, `AFnp1x:r`, `AFnp2x`, `AFnp2x:r`, `AFnp4x:r`, `AFns1x`, `AFns1x:r`, `AFns2x`, `AFns2x:r`, `AFns3x:r`, `AFns4x`, `AFns4x:r`, `AFns6x`, `AFns6x:r`, `AUfp1x`, `AUfs1x`, `AUfs2x`, `AUmp1x`, `AUmp1y`, `AUmp1z`, `AUms1x`, `AUms1y`, `AUms1z`, `AUns1x`, `AUns1z`, `DX`, `Dx`, `Dx:q`, `Dy`, `Dz`, `Eu2`, `Eu2:q`, `Eu3`, `Eu4`, `Eu4:q`, `Eu6`, `Eu6:q`, `Eu7`, `Eu7:q`, `Ev2`, `Ev3`, `Ev4`, `Ev6`, `Ev7`, `Ev7:q`, `Gkfp1x`, `Gkfp2x`, `Gkfp3x`, `Gkfp4x`, `Gkfp6x`, `Gkfp7x`, `Gkfs1x`, `Gkfs1x:r`, `Gkfs1y`, `Gkfs2x`, `Gkfs2x:q`, `Gkfs4x`, `Gkfs6x`, `Gkfs7x`, `Gkip1x`, `Gkip2x`, `Gkip4x`, `Gkip6x`, `Gkis1x`, `Gkis2x`, `Gkis4x`, `Gkis7x`, `Gkmp1x`, `Gkmp2x`, `Gkmp4x`, `Gkmp7x`, `Gkms1x`, `Gkms2x`, `Gkms4x`, `Gkms7x`, `Gknp1x`, `Gknp2x`, `Gknp4x`, `Gknp6x`, `Gkns1x`, `Gkns2x`, `Gkns3x`, `Gkns4x`, `Gkns6x`, `Gkop2x`, `Gtfp1x`, `Gtfp2x`, `Gtfp2x:r`, `Gtfp3x`, `Gtfp4x`, `Gtfp6x`, `Gtfp7x`, `Gtfs1x`, `Gtfs2x`, `Gtfs4x`, `Gtfs6x`, `Gtfs7x`, `Gtip1x`, `Gtip2x`, `Gtip4x`, `Gtip6x`, `Gtip7x`, `Gtip7y`, `Gtis1x`, `Gtis2x`, `Gtis3x`, `Gtis4x`, `Gtis6x`, `Gtis7x`, `Gtmp1x`, `Gtmp2x`, `Gtmp3x`, `Gtmp4x`, `Gtmp7x`, `Gtms1x`, `Gtms1x:r`, `Gtms1z`, `Gtms3x`, `Gtms4x:r`, `Gtnp1x`, `Gtnp2x`, `Gtnp4x`, `Gtnp6x`, `Gtnp7x`, `Gtns1x`, `Gtns2x`, `Gtns3x`, `Gtns4x`, `Gtns6x`, `Gtns7x`, `Gtop1x`, `Gtop2x`, `J`, `NAfp1`, `NAfp2`, `NAfp4`, `NAfp6`, `NAfs1`, `NAfs2`, `NAfs4`, `NAfs6`, `NAfs7`, `NAip1`, `NAip2`, `NAip3`, `NAip4`, `NAip6`, `NAis1`, `NAis2`, `NAis4`, `NAis6`, `NAis7`, `NAmp1`, `NAmp3`, `NAmp4`, `NAmp6`, `NAms1`, `NAms2`, `NAms3`, `NAms7`, `NAnp1`, `NAnp4`, `NAns1`, `NAns2`, `NAns3`, `NAns4`, `NAns6`, `NAns7`, `ND`, `NFfs1`, `NFfs2`, `NFfs4`, `NFfs6`, `NFfs7`, `NFis1`, `NFis2`, `NFis4`, `NFis6`, `NFis7`, `NFms1`, `NFms3`, `NFms4`, `NFms6`, `NFms7`, `NFns1`, `NFns2`, `NFns4`, `NFns6`, `NFns7`, `NNfp1`, `NNfp2`, `NNfp3`, `NNfp4`, `NNfp6`, `NNfp7`, `NNfs1`, `NNip1`, `NNip1:r`, `NNip2`, `NNip4`, `NNip6`, `NNip7`, `NNmp1`, `NNmp2`, `NNmp3`, `NNmp4`, `NNmp7`, `NNnp1`, `NNnp2`, `NNnp4`, `NNnp6`, `NNnp7`, `NNns1`, `NNop1`, `NSfs4`, `NSip2`, `NSip4`, `NSis1`, `NSis4`, `NSnp1`, `NUfp1`, `NUfp2`, `NUfp3`, `NUfp6`, `NUfp7`, `NUfs6`, `NUip2`, `NUip4`, `NUip6`, `NUip7`, `NUmp1`, `NUmp2`, `NUmp3`, `NUnp1`, `NUnp2`, `NUnp4`, `NUns1`, `NUns4`, `NX`, `O`, `O:q`, `O:r`, `OY`, `PAfp1`, `PAfp1:q`, `PAfp2`, `PAfp3`, `PAfp4`, `PAfp6`, `PAfp7`, `PAfs1`, `PAfs2`, `PAfs3`, `PAfs4`, `PAfs6`, `PAfs7`, `PAip1`, `PAip1:q`, `PAip2`, `PAip4`, `PAip6`, `PAip7`, `PAis1`, `PAis2`, `PAis3`, `PAis4`, `PAis6`, `PAis7`, `PAmp1`, `PAmp2`, `PAmp3`, `PAmp4`, `PAmp7`, `PAms1`, `PAms1:q`, `PAms2`, `PAms3`, `PAms4`, `PAms6`, `PAms7`, `PAnp1`, `PAnp2`, `PAnp4`, `PAnp6`, `PAnp7`, `PAns1`, `PAns1:q`, `PAns2`, `PAns3`, `PAns4`, `PAns6`, `PAop1`, `PAop4`, `PD`, `PFfp1`, `PFfp2`, `PFfp3`, `PFfp4`, `PFfp6`, `PFfp7`, `PFfs1`, `PFfs2`, `PFfs2:r`, `PFfs3`, `PFfs4`, `PFfs4:q`, `PFfs6`, `PFfs7`, `PFfs7:r`, `PFip1`, `PFip2`, `PFip3`, `PFip4`, `PFip6`, `PFip7`, `PFis1`, `PFis2`, `PFis2g`, `PFis3`, `PFis4`, `PFis4g`, `PFis6`, `PFis7`, `PFis7:q`, `PFis7:r`, `PFmp1`, `PFmp2`, `PFmp3`, `PFmp3:q`, `PFmp4`, `PFmp6`, `PFmp7`, `PFms1`, `PFms1:r`, `PFms2`, `PFms2g`, `PFms3`, `PFms3:r`, `PFms4`, `PFms4:r`, `PFms4g`, `PFms6`, `PFms7`, `PFms7:q`, `PFms7:r`, `PFnp1`, `PFnp2`, `PFnp3`, `PFnp4`, `PFnp6`, `PFnp7`, `PFns1`, `PFns1:q`, `PFns2`, `PFns2g`, `PFns3`, `PFns4`, `PFns4g`, `PFns6`, `PFns7`, `PFop2`, `PFop4`, `PFop4:r`, `PPhp1`, `PPhp2`, `PPhp3`, `PPhp4`, `PPhp4:r`, `PPhp6`, `PPhp7`, `PPhs1`, `PPhs2`, `PPhs3`, `PPhs3:r`, `PPhs4`, `PPhs6`, `PPhs7`, `PUfp1`, `PUfp2`, `PUfp4`, `PUfp6`, `PUfp7`, `PUfs1`, `PUfs2`, `PUfs3`, `PUfs4`, `PUfs6`, `PUfs7`, `PUip1`, `PUip2`, `PUip4`, `PUip6`, `PUip7`, `PUis1`, `PUis2`, `PUis3`, `PUis4`, `PUis6`, `PUis7`, `PUmp1`, `PUmp2`, `PUmp4`, `PUms1`, `PUms3`, `PUms7`, `PUnp1`, `PUnp2`, `PUnp3`, `PUnp4`, `PUnp6`, `PUns1`, `PUns2`, `PUns3`, `PUns4`, `PUns6`, `PUns7`, `PUop4`, `Q`, `R`, `R:q`, `SAfp1`, `SAfp6`, `SAfs1`, `SAfs1:r`, `SAfs2`, `SAfs2:r`, `SAfs3:r`, `SAfs4`, `SAfs4:r`, `SAfs6`, `SAfs6:r`, `SAmp1`, `SAmp2`, `SAmp3`, `SAmp4`, `SAmp6`, `SAms1`, `SAms1:r`, `SAms3`, `SAms4`, `SAms4:r`, `SAms5`, `SAms6`, `SAms7`, `SAms7:r`, `SFfp1:q`, `SFfs1`, `SFfs1:r`, `SFfs3`, `SFfs4`, `SFfs4:r`, `SFfs7`, `SFfs7:r`, `SFmp1:r`, `SFms1`, `SFms1:r`, `SFms2:r`, `SFms3:r`, `SFms4:r`, `SFms5:r`, `SFms7:r`, `SSfp1`, `SSfp1:r`, `SSfp2`, `SSfp2:r`, `SSfp3`, `SSfp4`, `SSfp4:q`, `SSfp4:r`, `SSfp6`, `SSfp6:q`, `SSfp6:r`, `SSfp7`, `SSfp7:q`, `SSfs1`, `SSfs1:r`, `SSfs2`, `SSfs2:q`, `SSfs2:r`, `SSfs3`, `SSfs3:r`, `SSfs4`, `SSfs4:q`, `SSfs4:r`, `SSfs5`, `SSfs6`, `SSfs6:q`, `SSfs6:r`, `SSfs7`, `SSfs7:q`, `SSfs7:r`, `SSfs7:rq`, `SSip1`, `SSip1:r`, `SSip2`, `SSip3`, `SSip4`, `SSip6`, `SSip6:r`, `SSip7`, `SSis1`, `SSis1:q`, `SSis1:r`, `SSis2`, `SSis2:q`, `SSis2:r`, `SSis2:rq`, `SSis3`, `SSis3:r`, `SSis4`, `SSis4:q`, `SSis4:r`, `SSis6`, `SSis6:r`, `SSis7`, `SSis7:q`, `SSis7:r`, `SSmp1`, `SSmp1:q`, `SSmp1:r`, `SSmp2`, `SSmp2:r`, `SSmp3`, `SSmp3:r`, `SSmp4`, `SSmp4:r`, `SSmp5`, `SSmp6`, `SSmp7`, `SSmp7:q`, `SSmp7:r`, `SSms1`, `SSms1:q`, `SSms1:r`, `SSms1:r:q`, `SSms1:rq`, `SSms2`, `SSms2:r`, `SSms2:rq`, `SSms3`, `SSms3:r`, `SSms4`, `SSms4:r`, `SSms5`, `SSms5:r`, `SSms6`, `SSms6:r`, `SSms7`, `SSms7:r`, `SSnp1`, `SSnp1:r`, `SSnp2`, `SSnp3`, `SSnp4`, `SSnp6`, `SSnp7`, `SSns1`, `SSns1:r`, `SSns2`, `SSns2:r`, `SSns3`, `SSns4`, `SSns4:r`, `SSns6`, `SSns6:r`, `SSns7`, `SSns7:r`, `SUfs1`, `SUfs1:r`, `SUfs2`, `SUfs2:r`, `SUfs3:r`, `SUfs4`, `SUfs4:r`, `SUfs6:r`, `SUfs7:r`, `SUis1:r`, `SUms1:r`, `SUms2:r`, `SUms4:r`, `SUms7:r`, `SUnp1:r`, `SUnp4`, `SUns1`, `SUns1:r`, `SUns4`, `SUns6`, `SUns6:r`, `SUns7:r`, `Ssfs1:r`, `T`, `T:q`, `TY`, `VBdsb-`, `VBdsc+`, `VBepa+`, `VBepa-`, `VBepb+`, `VBepb-`, `VBepc+`, `VBepc-`, `VBesa+`, `VBesa-`, `VBesb+`, `VBesb-`, `VBesc+`, `VBesc-`, `VHd+`, `VHe+`, `VHe-`, `VId+`, `VId-`, `VIe+`, `VIe+:q`, `VIe-`, `VIj+`, `VKdpa+`, `VKdpa-`, `VKdpb+`, `VKdpb-`, `VKdpb-:q`, `VKdpc+`, `VKdpc+:q`, `VKdpc-`, `VKdsa+`, `VKdsa+:q`, `VKdsa-`, `VKdsb+`, `VKdsb-`, `VKdsc+`, `VKdsc-`, `VKepa+`, `VKepa-`, `VKepa-:q`, `VKepb+`, `VKepb-`, `VKepc+`, `VKepc+:q`, `VKepc-`, `VKesa+`, `VKesa-`, `VKesb+`, `VKesb-`, `VKesc+`, `VKesc-`, `VKjpa+`, `VKjpb+`, `VKjpb-`, `VKjpc+`, `VKjpc-`, `VKjsa+`, `VKjsa-`, `VKjsb+`, `VKjsc+`, `VKjsc-`, `VLdpah+`, `VLdpah-`, `VLdpbh+`, `VLdpbh-`, `VLdpbm+`, `VLdpbm-`, `VLdpc+`, `VLdpcf+`, `VLdpcf+:q`, `VLdpcf-`, `VLdpci+`, `VLdpci+:q`, `VLdpci-`, `VLdpcm+`, `VLdpcm+:q`, `VLdpcm-`, `VLdpcn+`, `VLdpcn-`, `VLdpco+`, `VLdpco+:q`, `VLdpco-`, `VLdsaf+`, `VLdsaf+:q`, `VLdsaf-`, `VLdsam+`, `VLdsam-`, `VLdsbf+`, `VLdsbf-`, `VLdsbm+`, `VLdsbm-`, `VLdsc+`, `VLdscf+`, `VLdscf-`, `VLdsci+`, `VLdsci-`, `VLdscm+`, `VLdscm-`, `VLdscn+`, `VLdscn+:q`, `VLdscn-`, `VLepah+`, `VLepah-`, `VLepam+`, `VLepam-`, `VLepbh+`, `VLepbh-`, `VLepbh-:q`, `VLepbm+`, `VLepcf+`, `VLepcf-`, `VLepci+`, `VLepci+:q`, `VLepci-`, `VLepcm+`, `VLepcm-`, `VLepcn+`, `VLepcn-`, `VLepco+`, `VLepco-`, `VLesaf+`, `VLesaf-`, `VLesam+`, `VLesam-`, `VLesbf+`, `VLesbf-`, `VLesbm+`, `VLesbm-`, `VLesc+`, `VLesc-`, `VLescf+`, `VLescf-`, `VLesci+`, `VLesci-`, `VLescm+`, `VLescm+:q`, `VLescm-`, `VLescm-:q`, `VLescn+`, `VLescn-`, `VLjpah+`, `VLjpbh+`, `VLjpcf+`, `VLjpci+`, `VLjpcm+`, `VLjpco+`, `VLjsaf+`, `VLjsaf-`, `VLjsam+`, `VLjsam-`, `VLjscf+`, `VLjscf-`, `VLjsci+`, `VLjsci-`, `VLjscm+`, `VLjscm-`, `VLjscn+`, `VLjscn-`, `VMdpa+`, `VMdpa-`, `VMdpb+`, `VMdpb+:r`, `VMdpb-`, `VMdsb+`, `VMdsb-`, `VMepa+`, `VMepa-`, `VMepb+`, `VMepb-`, `VMepc-`, `VMesb+`, `VMesb-`, `VMjpb+`, `VMjsb+`, `Vje+`, `W`, `Wms1`, `Y`, `Z`, `ZIP` |
| **`morphologizer`** | `POS=ADV\|PronType=Int,Rel`, `Case=Nom\|Gender=Fem\|Number=Sing\|POS=DET\|PronType=Dem`, `Case=Nom\|Degree=Pos\|Gender=Fem\|Number=Sing\|POS=ADJ`, `Case=Nom\|Gender=Fem\|Number=Sing\|POS=NOUN`, `Aspect=Imp\|Mood=Ind\|Number=Sing\|POS=VERB\|Person=3\|Polarity=Pos\|Tense=Pres\|VerbForm=Fin`, `POS=PUNCT`, `Case=Acc\|Gender=Neut\|Number=Sing\|POS=DET\|PronType=Dem`, `POS=PART`, `Aspect=Imp\|Mood=Ind\|Number=Sing\|POS=VERB\|Person=1\|Polarity=Pos\|Tense=Pres\|VerbForm=Fin`, `Aspect=Imp\|Mood=Ind\|Number=Sing\|POS=AUX\|Person=3\|Polarity=Pos\|Tense=Pres\|VerbForm=Fin`, `Animacy=Inan\|Case=Nom\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=ADJ`, `Animacy=Inan\|Case=Nom\|Gender=Masc\|Number=Sing\|POS=NOUN`, `Mood=Cnd\|POS=SCONJ`, `POS=PRON\|PronType=Prs\|Reflex=Yes`, `Animacy=Anim\|Case=Nom\|Gender=Masc\|Number=Plur\|POS=NOUN`, `Animacy=Anim\|Aspect=Imp\|Gender=Masc\|Number=Plur\|POS=VERB\|Polarity=Pos\|Tense=Past\|VerbForm=Part`, `Aspect=Imp\|POS=VERB\|Polarity=Pos\|VerbForm=Inf`, `Aspect=Imp\|Mood=Ind\|Number=Plur\|POS=AUX\|Person=1\|Polarity=Neg\|Tense=Pres\|Typo=Yes\|VerbForm=Fin`, `Animacy=Anim\|Case=Nom\|Degree=Pos\|Gender=Masc\|Number=Plur\|POS=ADJ`, `Case=Acc\|Number=Plur\|POS=PRON\|Person=1\|PronType=Prs`, `Animacy=Anim\|Aspect=Perf\|Gender=Masc\|Number=Plur\|POS=VERB\|Polarity=Neg\|Tense=Past\|VerbForm=Part`, `AdpType=Prep\|Case=Gen\|POS=ADP`, `Case=Gen\|Gender=Neut\|Number=Sing\|POS=NOUN`, `Animacy=Inan\|Case=Gen\|Gender=Masc\|Number=Plur\|POS=NOUN`, `Animacy=Anim\|Case=Gen\|Gender=Masc\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Animacy=Anim\|Case=Gen\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=ADJ`, `Animacy=Anim\|Case=Gen\|Gender=Masc\|Number=Sing\|POS=NOUN`, `Animacy=Anim\|Aspect=Perf\|Gender=Masc\|Number=Plur\|POS=VERB\|Polarity=Pos\|Tense=Past\|VerbForm=Part`, `Case=Acc\|Degree=Pos\|Gender=Fem\|Number=Sing\|POS=ADJ`, `Case=Acc\|Gender=Fem\|Number=Sing\|POS=NOUN`, `Animacy=Anim\|Case=Gen\|Gender=Masc\|Number=Sing\|POS=PROPN`, `Animacy=Inan\|Case=Nom\|Gender=Masc\|Number=Plur\|POS=NOUN`, `Aspect=Imp\|Mood=Ind\|Number=Plur\|POS=AUX\|Person=3\|Polarity=Pos\|Tense=Pres\|VerbForm=Fin`, `Case=Ins\|Gender=Neut\|Number=Sing\|POS=NOUN`, `AdpType=Prep\|Case=Loc\|POS=ADP`, `Case=Loc\|Degree=Pos\|Gender=Fem\|Number=Sing\|POS=ADJ`, `Case=Loc\|Gender=Fem\|Number=Sing\|POS=NOUN`, `Animacy=Anim\|Case=Acc\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Ind`, `Animacy=Anim\|Case=Acc\|Gender=Masc\|Number=Plur\|POS=NOUN`, `Aspect=Imp\|Mood=Ind\|Number=Sing\|POS=AUX\|Person=1\|Polarity=Pos\|Tense=Pres\|VerbForm=Fin`, `POS=ADV\|PronType=Dem`, `Degree=Pos\|POS=ADV`, `Animacy=Anim\|Aspect=Imp\|Gender=Masc\|Number=Sing\|POS=VERB\|Polarity=Neg\|Tense=Past\|VerbForm=Part`, `Animacy=Inan\|Aspect=Perf\|Gender=Masc\|Number=Sing\|POS=VERB\|Polarity=Pos\|Tense=Past\|VerbForm=Part`, `Foreign=Yes\|POS=X`, `Case=Acc\|Number=Sing\|POS=PRON\|Person=1\|PronType=Prs`, `AdpType=Prep\|Case=Acc\|POS=ADP`, `Case=Acc\|Gender=Neut\|Number=Sing\|POS=NOUN`, `Case=Loc\|Gender=Fem\|Number=Plur\|POS=PROPN`, `Animacy=Inan\|Aspect=Imp\|Gender=Masc\|Number=Sing\|POS=VERB\|Polarity=Pos\|Tense=Past\|VerbForm=Part`, `Case=Nom\|Degree=Pos\|Gender=Fem\|Number=Plur\|POS=ADJ`, `Case=Nom\|Gender=Fem\|Number=Plur\|POS=NOUN`, `AdpType=Preppron\|Animacy=Anim\|Case=Acc\|Gender=Masc\|Number=Sing\|POS=PRON\|PronType=Prs`, `Aspect=Imp,Perf\|Mood=Ind\|Number=Plur\|POS=VERB\|Person=3\|Polarity=Neg\|Tense=Pres\|VerbForm=Fin`, `Case=Nom\|Number=Sing\|POS=PRON\|Person=1\|PronType=Prs`, `Aspect=Imp\|Gender=Fem\|Number=Sing\|POS=VERB\|Polarity=Pos\|Tense=Past\|VerbForm=Part`, `POS=CCONJ`, `Case=Gen\|Degree=Pos\|Gender=Fem\|Number=Sing\|POS=ADJ`, `Case=Gen\|Gender=Fem\|Number=Sing\|POS=NOUN`, `Case=Gen\|Gender=Fem\|Number=Sing\|POS=DET\|PronType=Dem`, `Case=Gen\|Gender=Neut\|Number=Sing\|POS=PROPN`, `Case=Gen\|Degree=Pos\|Gender=Fem\|Number=Plur\|POS=ADJ`, `Case=Gen\|Gender=Fem\|Number=Plur\|POS=NOUN`, `Aspect=Perf\|Gender=Fem\|Number=Sing\|POS=VERB\|Polarity=Pos\|Tense=Past\|VerbForm=Part`, `Case=Nom\|Gender=Fem\|Number=Sing\|POS=NUM`, `Animacy=Anim\|Case=Gen\|Degree=Pos\|Gender=Masc\|Number=Plur\|POS=ADJ`, `Animacy=Anim\|Case=Gen\|Degree=Pos\|Gender=Masc\|Number=Plur\|POS=ADJ\|Polarity=Pos\|VerbForm=Part\|Voice=Pass`, `Animacy=Anim\|Case=Gen\|Gender=Masc\|Number=Plur\|POS=NOUN`, `Case=Loc\|Gender=Neut\|Number=Sing\|POS=NOUN`, `Animacy=Inan\|Case=Acc\|Gender=Masc\|Number=Sing\|POS=DET\|Poss=Yes\|PronType=Prs\|Reflex=Yes`, `Animacy=Inan\|Case=Acc\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=ADJ`, `Animacy=Inan\|Case=Acc\|Gender=Masc\|Number=Sing\|POS=NOUN`, `AdpType=Voc\|Case=Loc\|POS=ADP`, `Case=Loc\|Gender=Fem\|Number=Sing\|POS=DET\|Poss=Yes\|PronType=Prs\|Reflex=Yes`, `Animacy=Inan\|Case=Gen\|Gender=Masc\|Number=Sing\|POS=NOUN`, `Case=Gen\|Gender=Neut\|Number=Plur\|POS=NUM`, `Case=Gen\|Degree=Pos\|Gender=Neut\|Number=Plur\|POS=ADJ`, `Case=Gen\|Gender=Neut\|Number=Plur\|POS=NOUN`, `Animacy=Inan\|Case=Ins\|Gender=Masc\|NumType=Ord\|Number=Sing\|POS=ADJ`, `Animacy=Inan\|Case=Ins\|Gender=Masc\|Number=Sing\|POS=NOUN`, `Case=Nom\|Gender=Neut\|Number=Sing\|POS=NOUN`, `Case=Acc\|Degree=Pos\|Gender=Fem\|Number=Plur\|POS=ADJ`, `Case=Acc\|Gender=Fem\|Number=Plur\|POS=NOUN`, `Case=Nom\|Gender=Neut\|Number=Sing\|POS=DET\|PronType=Dem`, `Case=Nom\|Degree=Pos\|Gender=Neut\|Number=Sing\|POS=ADJ`, `POS=SCONJ`, `Animacy=Anim\|Case=Acc\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=ADJ`, `Animacy=Anim\|Case=Acc\|Gender=Masc\|Number=Sing\|POS=NOUN`, `Animacy=Anim\|Case=Nom\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Int,Rel`, `AdpType=Prep\|Case=Ins\|POS=ADP`, `Animacy=Inan\|Case=Ins\|Gender=Masc\|Number=Sing\|POS=DET\|Poss=Yes\|PronType=Prs\|Reflex=Yes`, `Case=Ins\|Gender=Fem\|Number=Sing\|POS=DET\|Poss=Yes\|PronType=Prs\|Reflex=Yes`, `Case=Ins\|Gender=Fem\|Number=Sing\|POS=NOUN`, `Animacy=Anim\|Case=Nom\|Gender=Masc\|Number=Sing\|POS=PROPN`, `AdpType=Voc\|Case=Gen\|POS=ADP`, `NumForm=Digit\|POS=NUM`, `Hyph=Yes\|POS=X`, `Animacy=Anim\|Aspect=Imp\|Gender=Masc\|Number=Sing\|POS=AUX\|Polarity=Pos\|Tense=Past\|VerbForm=Part`, `Animacy=Anim\|Case=Nom\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=ADJ`, `Animacy=Anim\|Case=Gen\|Gender=Masc\|Number=Plur\|POS=PROPN`, `Animacy=Inan\|Case=Gen\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=ADJ`, `Animacy=Anim\|Aspect=Perf\|Gender=Masc\|Number=Sing\|POS=VERB\|Polarity=Pos\|Tense=Past\|VerbForm=Part`, `Case=Acc\|Degree=Pos\|Gender=Neut\|Number=Sing\|POS=ADJ`, `Case=Nom\|Gender=Fem\|NumType=Ord\|Number=Sing\|POS=ADJ`, `Animacy=Inan\|Case=Loc\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=ADJ`, `Animacy=Inan\|Case=Loc\|Gender=Masc\|Number=Sing\|POS=NOUN`, `Animacy=Inan\|Case=Gen\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Dem`, `AdpType=Prep\|Case=Dat\|POS=ADP`, `Case=Dat\|Degree=Pos\|Gender=Fem\|Number=Sing\|POS=ADJ`, `Case=Dat\|Gender=Fem\|Number=Sing\|POS=NOUN`, `Animacy=Anim\|Case=Nom\|Degree=Cmp\|Gender=Masc\|Number=Plur\|POS=ADJ`, `Animacy=Inan\|Case=Loc\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Tot`, `Animacy=Inan\|Case=Gen\|Gender=Masc\|Gender[psor]=Masc,Neut\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Animacy=Inan\|Aspect=Imp,Perf\|Gender=Masc\|Number=Sing\|POS=VERB\|Polarity=Pos\|Tense=Past\|VerbForm=Part`, `Animacy=Inan\|Case=Gen\|Degree=Sup\|Gender=Masc\|Number=Sing\|POS=ADJ`, `Case=Acc\|Gender=Neut\|NumType=Card\|Number=Sing\|POS=DET\|PronType=Ind`, `Case=Ins\|Degree=Pos\|Gender=Fem\|Number=Sing\|POS=ADJ`, `Animacy=Anim\|Case=Nom\|Gender=Masc\|Number=Sing\|POS=NOUN`, `Case=Ins\|Gender=Fem\|Number=Plur\|POS=NOUN`, `Animacy=Inan\|Case=Acc\|Degree=Pos\|Gender=Masc\|Number=Plur\|POS=ADJ`, `Animacy=Inan\|Case=Acc\|Gender=Masc\|Number=Plur\|POS=NOUN`, `Animacy=Anim\|Aspect=Imp\|Gender=Masc\|Number=Sing\|POS=VERB\|Polarity=Pos\|Tense=Past\|VerbForm=Part`, `Aspect=Imp,Perf\|POS=VERB\|Polarity=Pos\|VerbForm=Inf`, `Case=Gen\|Gender=Neut\|Number=Sing\|POS=DET\|PronType=Dem`, `Case=Gen\|Degree=Pos\|Gender=Neut\|Number=Sing\|POS=ADJ`, `Animacy=Inan\|Case=Gen\|Degree=Pos\|Gender=Masc\|Number=Plur\|POS=ADJ`, `AdpType=Voc\|Case=Dat\|POS=ADP`, `Animacy=Inan\|Case=Dat\|Gender=Masc\|Number=Plur\|POS=NOUN`, `Case=Dat\|Gender=Neut\|Number=Plur\|POS=NOUN`, `Aspect=Perf\|Gender=Neut\|Number=Sing\|POS=VERB\|Polarity=Pos\|Tense=Past\|VerbForm=Part`, `Aspect=Imp,Perf\|Mood=Ind\|Number=Sing\|POS=VERB\|Person=3\|Polarity=Pos\|Tense=Pres\|VerbForm=Fin`, `Animacy=Inan\|Case=Loc\|Gender=Masc\|Number=Plur\|POS=NUM`, `Animacy=Inan\|Case=Loc\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Dem`, `Animacy=Inan\|Case=Loc\|Gender=Masc\|Number=Plur\|POS=NOUN`, `Aspect=Imp\|Gender=Neut\|Number=Sing\|POS=VERB\|Polarity=Pos\|Tense=Past\|VerbForm=Part`, `Case=Loc\|Gender=Fem\|NumType=Ord\|Number=Sing\|POS=ADJ`, `Case=Nom\|Gender=Fem\|Number=Sing\|POS=PROPN`, `Case=Nom\|Gender=Fem\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Animacy=Anim\|Case=Nom\|Gender=Masc\|Gender[psor]=Masc,Neut\|Number=Plur\|Number[psor]=Sing\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Animacy=Anim\|Case=Nom\|Gender=Masc\|Number=Plur\|POS=NUM`, `Aspect=Perf\|POS=VERB\|Polarity=Pos\|VerbForm=Inf`, `Aspect=Imp\|Gender=Neut\|Number=Sing\|POS=AUX\|Polarity=Pos\|Tense=Past\|VerbForm=Part`, `Case=Nom\|Degree=Pos\|Gender=Neut\|Number=Sing\|POS=ADJ\|Polarity=Pos\|VerbForm=Part\|Voice=Pass`, `Case=Nom\|Gender=Neut\|Number=Sing\|POS=PROPN`, `Animacy=Inan\|Aspect=Perf\|Gender=Masc\|Number=Plur\|POS=VERB\|Polarity=Pos\|Tense=Past\|VerbForm=Part`, `Animacy=Inan\|Case=Nom\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Ind`, `Case=Gen\|Gender=Neut\|Number=Sing\|Number[psor]=Plur\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Aspect=Perf\|Gender=Fem\|Number=Plur\|POS=VERB\|Polarity=Pos\|Tense=Past\|VerbForm=Part`, `Case=Nom\|Gender=Fem\|Number=Plur\|POS=DET\|PronType=Ind`, `Abbr=Yes\|POS=PROPN`, `Aspect=Imp\|POS=VERB\|Polarity=Neg\|VerbForm=Inf`, `Mood=Cnd\|POS=AUX`, `Aspect=Imp\|Gender=Neut\|Number=Sing\|POS=VERB\|Polarity=Neg\|Tense=Past\|VerbForm=Part`, `Animacy=Anim\|Case=Nom\|Gender=Masc\|Number=Plur\|POS=PRON\|Person=3\|PronType=Prs`, `Case=Acc\|Gender=Fem\|Number=Sing\|POS=DET\|PronType=Dem`, `Aspect=Imp\|Mood=Ind\|Number=Plur\|POS=VERB\|Person=3\|Polarity=Neg\|Tense=Pres\|VerbForm=Fin`, `Animacy=Inan\|Case=Ins\|Gender=Masc\|Gender[psor]=Fem\|Number=Plur\|Number[psor]=Sing\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Animacy=Inan\|Case=Ins\|Degree=Pos\|Gender=Masc\|Number=Plur\|POS=ADJ`, `Animacy=Inan\|Case=Ins\|Gender=Masc\|Number=Plur\|POS=NOUN`, `Case=Nom\|Gender=Fem\|Number=Sing\|POS=DET\|PronType=Int,Rel`, `Aspect=Imp\|Number=Plur\|POS=VERB\|Polarity=Pos\|Tense=Past\|VerbForm=Part`, `Aspect=Imp\|Mood=Ind\|Number=Plur\|POS=AUX\|Person=1\|Polarity=Pos\|Tense=Pres\|VerbForm=Fin`, `Animacy=Anim\|Case=Acc\|Gender=Masc\|Number=Plur\|POS=PRON\|Person=3\|PronType=Prs`, `Animacy=Anim\|Aspect=Perf\|Gender=Masc\|Number=Sing\|POS=VERB\|Polarity=Neg\|Tense=Past\|VerbForm=Part`, `Aspect=Imp\|Gender=Fem\|Number=Sing\|POS=AUX\|Polarity=Pos\|Tense=Past\|VerbForm=Part`, `Animacy=Anim\|Case=Nom\|Gender=Masc\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Case=Gen\|Gender=Neut\|Number=Sing\|POS=DET\|PronType=Tot`, `Case=Nom\|Gender=Neut\|Number=Sing\|POS=PRON\|PronType=Int,Rel`, `Case=Dat\|Number=Sing\|POS=PRON\|Person=1\|PronType=Prs`, `Animacy=Inan\|Case=Loc\|Gender=Masc\|Number=Sing\|POS=DET\|Poss=Yes\|PronType=Prs\|Reflex=Yes`, `Aspect=Imp\|Number=Plur\|POS=VERB\|Polarity=Neg\|Tense=Past\|VerbForm=Part`, `Animacy=Inan\|Case=Dat\|Degree=Pos\|Gender=Masc\|Number=Plur\|POS=ADJ`, `Aspect=Perf\|Number=Plur\|POS=VERB\|Polarity=Pos\|Tense=Past\|VerbForm=Part`, `Case=Nom\|Gender=Neut\|Number=Plur\|POS=NOUN`, `Case=Acc\|Number=Plur\|POS=DET\|PronType=Int,Rel`, `Degree=Cmp\|POS=ADV`, `Case=Acc\|Gender=Neut\|Number=Plur\|POS=NOUN`, `Case=Acc\|Gender=Fem\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Aspect=Imp\|Mood=Ind\|Number=Plur\|POS=AUX\|Person=2\|Polarity=Pos\|Tense=Pres\|VerbForm=Fin`, `Animacy=Anim\|Case=Dat\|Gender=Masc\|Number=Sing\|POS=NOUN`, `Case=Acc\|Gender=Fem\|Number=Sing\|POS=DET\|Poss=Yes\|PronType=Prs\|Reflex=Yes`, `Case=Loc\|Degree=Pos\|Gender=Neut\|Number=Sing\|POS=ADJ\|Polarity=Pos\|VerbForm=Part\|Voice=Act`, `Case=Loc\|Degree=Pos\|Gender=Neut\|Number=Sing\|POS=ADJ`, `Aspect=Imp\|Gender=Fem\|Number=Plur\|POS=VERB\|Polarity=Pos\|Tense=Past\|VerbForm=Part`, `Animacy=Inan\|Case=Loc\|Gender=Masc\|Gender[psor]=Masc,Neut\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Animacy=Inan\|Case=Nom\|Gender=Masc\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Aspect=Imp\|Gender=Neut\|Number=Plur\|POS=AUX\|Polarity=Pos\|Tense=Past\|VerbForm=Part`, `Aspect=Perf\|Mood=Ind\|Number=Sing\|POS=VERB\|Person=3\|Polarity=Pos\|Tense=Pres\|VerbForm=Fin`, `Aspect=Imp\|Mood=Ind\|Number=Sing\|POS=AUX\|Person=3\|Polarity=Neg\|Tense=Pres\|VerbForm=Fin`, `Aspect=Imp\|Mood=Ind\|Number=Sing\|POS=VERB\|Person=3\|Polarity=Neg\|Tense=Pres\|VerbForm=Fin`, `Animacy=Inan\|Case=Loc\|Gender=Masc\|Number=Sing\|POS=PROPN`, `Case=Ins\|Gender=Neut\|Number=Sing\|POS=DET\|PronType=Dem`, `Case=Ins\|Degree=Pos\|Gender=Neut\|Number=Sing\|POS=ADJ`, `Case=Acc\|Gender=Neut\|Number=Sing\|POS=DET\|PronType=Int,Rel`, `Animacy=Anim\|Case=Nom\|Gender=Masc\|Number=Plur\|POS=PROPN`, `Animacy=Inan\|Aspect=Imp\|Gender=Masc\|Number=Sing\|POS=AUX\|Polarity=Pos\|Tense=Past\|VerbForm=Part`, `Animacy=Anim\|Case=Acc\|Gender=Masc\|Number=Sing\|POS=PROPN`, `Case=Loc\|Gender=Fem\|Number=Sing\|POS=PROPN`, `Case=Acc\|Gender=Neut\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs`, `Case=Acc\|Gender=Fem\|Number=Sing\|POS=DET\|PronType=Int,Rel`, `Animacy=Inan\|Case=Ins\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=ADJ`, `Case=Gen\|Gender=Fem\|Number=Plur\|POS=DET\|PronType=Tot`, `Case=Acc\|Gender=Fem\|Number=Plur\|POS=DET\|PronType=Int,Rel`, `Case=Nom\|Gender=Fem\|Number=Sing\|Number[psor]=Plur\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Abbr=Yes\|POS=X`, `Animacy=Inan\|Case=Gen\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Int,Rel`, `Animacy=Inan\|Case=Nom\|Gender=Masc\|Number=Sing\|Number[psor]=Plur\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Animacy=Anim\|Case=Ins\|Gender=Masc\|Number=Plur\|POS=PROPN`, `Case=Gen\|Gender=Neut\|Number=Sing\|POS=ADJ`, `Aspect=Imp\|Mood=Ind\|Number=Sing\|POS=VERB\|Person=1\|Polarity=Neg\|Tense=Pres\|VerbForm=Fin`, `Aspect=Perf\|POS=VERB\|Polarity=Neg\|VerbForm=Inf`, `Case=Acc\|Gender=Fem\|Number=Sing\|POS=NUM`, `Animacy=Anim\|Case=Nom\|Gender=Masc\|Number=Sing\|POS=PRON\|PronType=Int,Rel`, `Animacy=Inan\|Case=Nom\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Int,Rel`, `Aspect=Imp\|Mood=Ind\|Number=Plur\|POS=VERB\|Person=3\|Polarity=Pos\|Tense=Pres\|VerbForm=Fin`, `Animacy=Inan\|Case=Acc\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=ADJ\|Polarity=Pos\|VerbForm=Part\|Voice=Pass`, `Animacy=Inan\|Case=Acc\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=ADJ\|Polarity=Neg\|VerbForm=Part\|Voice=Pass`, `Animacy=Inan\|Case=Acc\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs`, `Case=Loc\|Degree=Pos\|Gender=Fem\|Number=Plur\|POS=ADJ`, `Case=Loc\|Degree=Pos\|Gender=Fem\|Number=Plur\|POS=ADJ\|Polarity=Pos\|VerbForm=Part\|Voice=Pass`, `Case=Loc\|Gender=Fem\|Number=Plur\|POS=NOUN`, `Animacy=Inan\|Case=Loc\|Gender=Masc\|Number=Plur\|POS=PROPN`, `Case=Acc\|Gender=Neut\|Number=Sing\|POS=NUM`, `Animacy=Anim\|Case=Nom\|Gender=Masc\|Number=Sing\|POS=PRON\|PronType=Ind`, `Animacy=Inan\|Case=Gen\|Gender=Masc\|Number=Sing\|POS=DET\|Poss=Yes\|PronType=Prs\|Reflex=Yes`, `Case=Gen\|Gender=Neut\|NumType=Ord\|Number=Sing\|POS=ADJ`, `Case=Loc\|Gender=Neut\|NumType=Ord\|Number=Sing\|POS=ADJ`, `Animacy=Anim\|Case=Nom\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=ADJ\|Polarity=Pos\|VerbForm=Part\|Voice=Pass`, `Case=Gen\|Gender=Neut\|Gender[psor]=Masc,Neut\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Animacy=Anim\|Case=Nom\|Degree=Sup\|Gender=Masc\|Number=Sing\|POS=ADJ`, `Animacy=Anim\|Case=Ins\|Gender=Masc\|Number=Sing\|POS=NOUN`, `Case=Gen\|Gender=Fem\|Number=Sing\|POS=PROPN`, `Animacy=Anim\|Case=Ins\|Gender=Masc\|Number=Sing\|POS=PROPN`, `Aspect=Imp\|Mood=Ind\|Number=Sing\|POS=AUX\|Person=3\|Polarity=Pos\|Tense=Fut\|VerbForm=Fin`, `Aspect=Perf\|Mood=Ind\|Number=Plur\|POS=VERB\|Person=1\|Polarity=Pos\|Tense=Pres\|VerbForm=Fin`, `Case=Nom\|Gender=Neut\|Number=Sing\|POS=DET\|PronType=Dem\|Typo=Yes`, `Animacy=Inan\|Case=Dat\|Gender=Masc\|Number=Sing\|POS=NOUN`, `Aspect=Perf\|Mood=Imp\|Number=Plur\|POS=VERB\|Person=2\|Polarity=Pos\|VerbForm=Fin`, `Animacy=Inan\|Case=Nom\|Degree=Pos\|Gender=Masc\|Number=Plur\|POS=ADJ`, `Animacy=Inan\|Case=Nom\|Gender=Masc\|Number=Sing\|POS=PROPN`, `Animacy=Inan\|Case=Nom\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Dem`, `Animacy=Inan\|Case=Gen\|Gender=Masc\|Number=Sing\|POS=PROPN`, `Aspect=Perf\|Mood=Ind\|Number=Plur\|POS=VERB\|Person=2\|Polarity=Pos\|Tense=Pres\|VerbForm=Fin`, `Case=Nom\|Gender=Fem\|Number=Plur\|POS=PROPN`, `Case=Nom\|Degree=Pos\|Gender=Fem\|Number=Sing\|POS=ADJ\|Polarity=Pos\|VerbForm=Part\|Voice=Pass`, `Case=Loc\|Degree=Pos\|Gender=Neut\|Number=Plur\|POS=ADJ`, `Case=Loc\|Gender=Neut\|Number=Plur\|POS=NOUN`, `Case=Nom\|Degree=Pos\|Gender=Fem\|Number=Sing\|POS=ADJ\|Polarity=Pos\|VerbForm=Part\|Voice=Act`, `Aspect=Perf\|Mood=Ind\|Number=Sing\|POS=VERB\|Person=1\|Polarity=Pos\|Tense=Pres\|VerbForm=Fin`, `Aspect=Imp\|Mood=Ind\|Number=Plur\|POS=AUX\|Person=3\|Polarity=Pos\|Tense=Fut\|VerbForm=Fin`, `Animacy=Inan\|Case=Nom\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Int,Rel`, `POS=INTJ`, `Case=Loc\|Gender=Neut\|Number=Sing\|POS=PROPN`, `Animacy=Inan\|Case=Nom\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=ADJ\|Polarity=Pos\|VerbForm=Part\|Voice=Pass`, `Animacy=Inan\|Case=Dat\|Gender=Masc\|Number=Sing\|POS=PROPN`, `Animacy=Inan\|Case=Loc\|Gender=Masc\|Number=Sing\|POS=NUM`, `Animacy=Inan\|Case=Gen\|Gender=Masc\|Number=Plur\|POS=PRON\|Person=3\|PronType=Prs`, `AdpType=Prep\|Case=Loc\|POS=ADP\|Typo=Yes`, `Animacy=Anim\|Case=Nom\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=ADJ\|Polarity=Pos\|VerbForm=Part\|Voice=Act`, `Case=Acc\|Degree=Pos\|Gender=Fem\|Number=Sing\|POS=ADJ\|Polarity=Pos\|VerbForm=Part\|Voice=Pass`, `Animacy=Inan\|Case=Nom\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=ADJ\|Polarity=Pos\|VerbForm=Part\|Voice=Act`, `Animacy=Inan\|Case=Gen\|Gender=Masc\|NumType=Ord\|Number=Plur\|POS=ADJ`, `Case=Nom\|Gender=Neut\|Number=Sing\|POS=DET\|PronType=Int,Rel`, `Animacy=Anim\|Case=Nom\|Gender=Masc\|Number=Sing\|POS=NOUN\|Typo=Yes`, `Animacy=Inan\|Case=Gen\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=ADJ\|Polarity=Pos\|VerbForm=Part\|Voice=Pass`, `Animacy=Inan\|Case=Loc\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs`, `Animacy=Anim\|Case=Ins\|Degree=Pos\|Gender=Masc\|Number=Plur\|POS=ADJ`, `Animacy=Anim\|Case=Ins\|Gender=Masc\|Number=Plur\|POS=NOUN`, `Animacy=Inan\|Case=Acc\|Gender=Masc\|Number=Plur\|POS=NUM`, `Animacy=Inan\|Case=Nom\|Gender=Masc\|Gender[psor]=Masc,Neut\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Animacy=Anim\|Case=Dat\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs`, `Degree=Pos\|POS=ADV\|Typo=Yes`, `Animacy=Anim\|Case=Acc\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Ind`, `Case=Acc\|Gender=Fem\|Gender[psor]=Masc,Neut\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Animacy=Inan\|Case=Acc\|Gender=Masc\|Number=Sing\|POS=PROPN`, `Aspect=Imp\|Gender=Fem\|Number=Plur\|POS=AUX\|Polarity=Pos\|Tense=Past\|VerbForm=Part`, `Case=Nom\|Degree=Pos\|Gender=Fem\|Number=Plur\|POS=ADJ\|Polarity=Pos\|VerbForm=Part\|Voice=Pass`, `Case=Gen\|Degree=Pos\|Gender=Fem\|Number=Sing\|POS=ADJ\|Typo=Yes`, `Case=Gen\|Gender=Fem\|Number=Plur\|POS=NUM`, `Animacy=Anim\|Case=Nom\|Gender=Masc\|Gender[psor]=Fem\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Aspect=Imp\|Mood=Imp\|Number=Plur\|POS=AUX\|Person=2\|Polarity=Pos\|VerbForm=Fin`, `Animacy=Inan\|Case=Acc\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Dem`, `Case=Acc\|Gender=Neut\|Number=Plur\|POS=DET\|PronType=Tot`, `Case=Acc\|Degree=Pos\|Gender=Neut\|Number=Plur\|POS=ADJ`, `Animacy=Inan\|Case=Nom\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Dem`, `Animacy=Inan\|Case=Nom\|Degree=Pos\|Gender=Masc\|Number=Plur\|POS=ADJ\|Polarity=Pos\|VerbForm=Part\|Voice=Pass`, `Case=Acc\|Gender=Neut\|Number=Sing\|POS=PRON\|PronType=Int,Rel`, `POS=ADV\|PronType=Neg`, `Aspect=Imp\|Mood=Ind\|Number=Plur\|POS=VERB\|Person=1\|Polarity=Pos\|Tense=Pres\|VerbForm=Fin`, `Aspect=Imp,Perf\|Mood=Ind\|Number=Plur\|POS=VERB\|Person=1\|Polarity=Pos\|Tense=Pres\|VerbForm=Fin`, `Case=Dat\|Gender=Fem\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs`, `Animacy=Inan\|Aspect=Imp,Perf\|Gender=Masc\|Number=Plur\|POS=VERB\|Polarity=Pos\|Tense=Past\|VerbForm=Part`, `Case=Nom\|Gender=Neut\|Number=Sing\|POS=PRON\|PronType=Ind`, `Aspect=Imp\|Mood=Ind\|Number=Sing\|POS=VERB\|Person=2\|Polarity=Pos\|Tense=Pres\|VerbForm=Fin`, `Case=Loc\|Gender=Neut\|Number=Sing\|POS=DET\|PronType=Dem`, `Case=Dat\|Gender=Neut\|Number=Sing\|POS=DET\|PronType=Dem`, `Case=Acc\|Gender=Neut\|Number=Plur\|POS=DET\|PronType=Ind`, `POS=ADV\|PronType=Ind`, `Case=Dat\|Gender=Neut\|Number=Plur\|POS=PRON\|Person=3\|PronType=Prs`, `Animacy=Anim\|Aspect=Imp\|Gender=Masc\|Number=Sing\|POS=AUX\|Polarity=Neg\|Tense=Past\|VerbForm=Part`, `Aspect=Imp\|Mood=Imp\|Number=Sing\|POS=VERB\|Person=2\|Polarity=Pos\|VerbForm=Fin`, `Animacy=Anim\|Case=Nom\|Degree=Cmp\|Gender=Masc\|Number=Sing\|POS=ADJ`, `Animacy=Inan\|Case=Dat\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Int,Rel`, `Case=Loc\|Gender=Fem\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs`, `Animacy=Anim\|Case=Nom\|Degree=Pos\|Gender=Masc\|Number=Plur\|POS=ADJ\|Polarity=Pos\|VerbForm=Part\|Voice=Pass`, `Aspect=Perf\|Mood=Ind\|Number=Plur\|POS=VERB\|Person=3\|Polarity=Neg\|Tense=Pres\|VerbForm=Fin`, `Case=Gen\|Gender=Fem\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs`, `Animacy=Inan\|Case=Acc\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Int,Rel`, `Aspect=Imp,Perf\|Mood=Imp\|Number=Plur\|POS=VERB\|Person=2\|Polarity=Pos\|VerbForm=Fin`, `Animacy=Anim\|Case=Dat\|Gender=Masc\|Number=Sing\|POS=PROPN`, `Case=Nom\|Gender=Neut\|Number=Sing\|POS=DET\|PronType=Tot`, `Aspect=Imp\|Mood=Ind\|Number=Plur\|POS=VERB\|Person=2\|Polarity=Pos\|Tense=Pres\|VerbForm=Fin`, `Aspect=Imp\|Mood=Ind\|Number=Plur\|POS=VERB\|Person=2\|Polarity=Neg\|Tense=Pres\|VerbForm=Fin`, `Case=Loc\|Gender=Neut\|Number=Sing\|POS=DET\|PronType=Tot`, `Case=Nom\|Gender=Fem\|Gender[psor]=Masc,Neut\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Case=Loc\|Gender=Fem\|Number=Sing\|POS=DET\|PronType=Ind`, `Case=Acc\|Gender=Fem\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs`, `Case=Loc\|Gender=Fem\|Number=Sing\|POS=DET\|PronType=Dem`, `Animacy=Inan\|Case=Ins\|Gender=Masc\|Number=Plur\|POS=DET\|Poss=Yes\|PronType=Prs\|Reflex=Yes`, `Case=Gen\|Gender=Fem\|Number=Sing\|POS=DET\|PronType=Tot`, `Animacy=Inan\|Case=Dat\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Tot`, `Case=Ins\|Degree=Pos\|Gender=Fem\|Number=Plur\|POS=ADJ`, `Animacy=Inan\|Case=Acc\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Tot`, `Case=Dat\|Degree=Pos\|Gender=Neut\|Number=Sing\|POS=ADJ`, `Case=Dat\|Gender=Neut\|Number=Sing\|POS=NOUN`, `Case=Nom\|Gender=Fem\|Number=Sing\|POS=DET\|PronType=Ind`, `Aspect=Perf\|Mood=Ind\|Number=Sing\|POS=VERB\|Person=3\|Polarity=Neg\|Tense=Pres\|VerbForm=Fin`, `Case=Gen\|Gender=Fem\|Number=Plur\|Number[psor]=Plur\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Animacy=Inan\|Case=Acc\|Degree=Cmp\|Gender=Masc\|Number=Sing\|POS=ADJ`, `Case=Acc\|Gender=Neut\|Number=Sing\|Number[psor]=Plur\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Animacy=Inan\|Case=Ins\|Degree=Pos\|Gender=Masc\|Number=Plur\|POS=ADJ\|Polarity=Pos\|VerbForm=Part\|Voice=Pass`, `Case=Loc\|Gender=Neut\|Gender[psor]=Masc,Neut\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Case=Gen\|Degree=Cmp\|Gender=Fem\|Number=Plur\|POS=ADJ`, `Aspect=Imp\|POS=AUX\|Polarity=Pos\|VerbForm=Inf`, `Animacy=Inan\|Case=Gen\|Gender=Masc\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Animacy=Inan\|Case=Acc\|Gender=Masc\|Number=Plur\|POS=PRON\|Person=3\|PronType=Prs`, `Case=Acc\|Gender=Fem\|NumType=Ord\|Number=Plur\|POS=ADJ`, `Case=Acc\|Gender=Fem\|Number=Plur\|POS=NUM`, `Aspect=Perf\|Mood=Ind\|Number=Plur\|POS=VERB\|Person=3\|Polarity=Pos\|Tense=Pres\|VerbForm=Fin`, `Animacy=Inan\|Case=Ins\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=ADJ\|Polarity=Pos\|VerbForm=Part\|Voice=Pass`, `Animacy=Inan\|Case=Nom\|Degree=Cmp\|Gender=Masc\|Number=Plur\|POS=ADJ`, `Case=Nom\|Gender=Neut\|Number=Sing\|POS=NUM`, `Case=Nom\|Gender=Neut\|Number=Sing\|Number[psor]=Plur\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Case=Nom\|Gender=Neut\|NumType=Mult\|Number=Sing\|POS=ADJ`, `Case=Acc\|Number=Sing\|POS=PRON\|PronType=Prs\|Reflex=Yes`, `Case=Ins\|Number=Plur\|POS=PRON\|Person=1\|PronType=Prs`, `Case=Gen\|Degree=Pos\|Gender=Fem\|Number=Plur\|POS=ADJ\|Polarity=Pos\|VerbForm=Part\|Voice=Pass`, `Case=Nom\|Gender=Neut\|NumType=Card\|Number=Sing\|POS=DET\|PronType=Ind`, `Animacy=Anim\|Case=Acc\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs`, `Case=Dat\|Number=Plur\|POS=PRON\|Person=1\|PronType=Prs`, `Case=Gen\|Gender=Fem\|Gender[psor]=Fem\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Case=Gen\|Gender=Fem\|NumType=Ord\|Number=Sing\|POS=ADJ`, `Animacy=Anim\|Case=Acc\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Tot`, `Animacy=Anim\|Case=Acc\|Gender=Masc\|Number=Plur\|POS=NUM`, `Case=Acc\|Gender=Fem\|Number=Sing\|POS=DET\|PronType=Tot`, `Animacy=Anim\|Case=Nom\|Gender=Masc\|Number=Sing\|POS=PRON\|PronType=Neg`, `Case=Acc\|Gender=Neut\|Number=Sing\|POS=PRON\|PronType=Neg`, `Case=Gen\|Number=Plur\|POS=PRON\|Person=1\|PronType=Prs`, `Animacy=Inan\|Case=Gen\|Gender=Masc\|Number=Sing\|POS=NUM`, `Case=Nom\|Gender=Neut\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Case=Acc\|Gender=Neut\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Degree=Sup\|POS=ADV`, `Aspect=Perf\|Mood=Imp\|Number=Sing\|POS=VERB\|Person=2\|Polarity=Pos\|VerbForm=Fin`, `Animacy=Anim\|Case=Nom\|Gender=Masc\|Number=Sing\|Number[psor]=Plur\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Case=Dat\|Gender=Fem\|Number=Sing\|Number[psor]=Plur\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `AdpType=Voc\|Case=Ins\|POS=ADP`, `Aspect=Imp\|Mood=Ind\|Number=Sing\|POS=AUX\|Person=1\|Polarity=Pos\|Tense=Fut\|VerbForm=Fin`, `Case=Ins\|Number=Sing\|POS=PRON\|PronType=Prs\|Reflex=Yes`, `Case=Ins\|Gender=Neut\|Number=Sing\|POS=DET\|PronType=Tot`, `Case=Gen\|Gender=Fem\|Number=Plur\|POS=DET\|PronType=Dem`, `Case=Nom\|Gender=Neut\|Number=Plur\|POS=NUM`, `Case=Loc\|Gender=Fem\|Number=Sing\|POS=DET\|PronType=Tot`, `Animacy=Anim\|Case=Dat\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=ADJ`, `Case=Nom\|Gender=Neut\|Number=Sing\|POS=DET\|PronType=Neg`, `Animacy=Anim\|Case=Dat\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=ADJ\|Polarity=Pos\|VerbForm=Part\|Voice=Pass`, `Aspect=Perf\|Mood=Ind\|Number=Plur\|POS=VERB\|Person=3\|Polarity=Pos\|Tense=Pres\|Typo=Yes\|VerbForm=Fin`, `Case=Nom\|Degree=Sup\|Gender=Neut\|Number=Sing\|POS=ADJ`, `Case=Acc\|Gender=Neut\|Number=Sing\|POS=DET\|PronType=Tot`, `Case=Loc\|Gender=Fem\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Hyph=Yes\|POS=ADV`, `Case=Nom\|Degree=Pos\|Gender=Neut\|Number=Sing\|POS=ADJ\|Polarity=Pos\|VerbForm=Part\|Voice=Act`, `Case=Nom\|Gender=Neut\|Number=Sing\|Number[psor]=Plur\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Case=Acc\|Gender=Fem\|Number=Sing\|Number[psor]=Plur\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Case=Nom\|Gender=Fem\|Number=Plur\|POS=DET\|PronType=Int,Rel`, `Case=Ins\|Degree=Pos\|Gender=Fem\|Number=Sing\|POS=ADJ\|Polarity=Pos\|VerbForm=Part\|Voice=Pass`, `Animacy=Anim\|Case=Nom\|Gender=Masc\|Number=Plur\|Number[psor]=Sing\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `POS=ADV\|PronType=Tot`, `Animacy=Inan\|Case=Nom\|Gender=Masc\|Number=Plur\|Number[psor]=Plur\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Animacy=Inan\|Aspect=Imp\|Gender=Masc\|Number=Plur\|POS=VERB\|Polarity=Pos\|Tense=Past\|VerbForm=Part`, `Animacy=Inan\|Case=Ins\|Degree=Sup\|Gender=Masc\|Number=Sing\|POS=ADJ`, `Animacy=Inan\|Case=Nom\|Degree=Cmp\|Gender=Masc\|Number=Sing\|POS=ADJ`, `Animacy=Inan\|Case=Ins\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=ADJ\|Polarity=Neg\|VerbForm=Part\|Voice=Pass`, `Case=Acc\|Degree=Pos\|Gender=Neut\|Number=Sing\|POS=ADJ\|Polarity=Pos\|VerbForm=Part\|Voice=Pass`, `Case=Dat\|Number=Plur\|POS=PRON\|Person=2\|PronType=Prs`, `Case=Ins\|Degree=Pos\|Gender=Fem\|Number=Plur\|POS=ADJ\|Polarity=Pos\|VerbForm=Part\|Voice=Pass`, `Case=Acc\|Gender=Fem\|Number=Plur\|POS=DET\|Poss=Yes\|PronType=Prs\|Reflex=Yes`, `Animacy=Inan\|Case=Acc\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Tot`, `Case=Acc\|Degree=Sup\|Gender=Fem\|Number=Sing\|POS=ADJ`, `Case=Gen\|Degree=Sup\|Gender=Fem\|Number=Plur\|POS=ADJ`, `Aspect=Perf\|Mood=Imp\|Number=Plur\|POS=VERB\|Person=2\|Polarity=Neg\|VerbForm=Fin`, `Animacy=Anim\|Case=Loc\|Gender=Masc\|Number=Sing\|POS=NOUN`, `Case=Nom\|Degree=Pos\|Gender=Neut\|Number=Plur\|POS=ADJ`, `Animacy=Anim\|Case=Nom\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Dem`, `Animacy=Anim\|Case=Nom\|Gender=Masc\|Number=Plur\|Number[psor]=Plur\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Animacy=Inan\|Case=Ins\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Ind`, `Animacy=Inan\|Case=Loc\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Ind`, `Animacy=Inan\|Case=Acc\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Ind`, `Case=Acc\|Number=Plur\|Number[psor]=Plur\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Aspect=Imp\|Mood=Ind\|Number=Plur\|POS=VERB\|Person=1\|Polarity=Neg\|Tense=Pres\|VerbForm=Fin`, `Aspect=Imp\|Mood=Imp\|Number=Plur\|POS=VERB\|Person=2\|Polarity=Pos\|VerbForm=Fin`, `Animacy=Anim\|Case=Ins\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Int,Rel`, `Aspect=Perf\|Mood=Ind\|Number=Plur\|POS=VERB\|Person=2\|Polarity=Neg\|Tense=Pres\|VerbForm=Fin`, `Case=Acc\|Gender=Neut\|Number=Sing\|POS=PROPN`, `Animacy=Inan\|Case=Acc\|Degree=Sup\|Gender=Masc\|Number=Sing\|POS=ADJ`, `Animacy=Anim\|Case=Acc\|Gender=Masc\|Number=Sing\|POS=DET\|Poss=Yes\|PronType=Prs\|Reflex=Yes`, `Animacy=Inan\|Case=Gen\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Tot`, `Animacy=Inan\|Case=Gen\|Gender=Masc\|Number=Plur\|POS=NUM`, `Animacy=Anim\|Aspect=Imp\|Gender=Masc\|Number=Plur\|POS=VERB\|Polarity=Neg\|Tense=Past\|VerbForm=Part`, `Animacy=Inan\|Case=Loc\|Gender=Masc\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Case=Nom\|Gender=Fem\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs`, `Aspect=Imp\|Gender=Fem\|Number=Sing\|POS=VERB\|Polarity=Neg\|Tense=Past\|VerbForm=Part`, `Case=Nom\|Gender=Neut\|Number=Sing\|POS=PRON\|PronType=Neg`, `Animacy=Inan\|Case=Nom\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Neg`, `Case=Nom\|Gender=Neut\|Gender[psor]=Fem\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Animacy=Anim\|Case=Nom\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Dem`, `Case=Nom\|Number=Plur\|POS=DET\|PronType=Int,Rel`, `Animacy=Inan\|Case=Nom\|Gender=Masc\|Number=Sing\|Number[psor]=Plur\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Animacy=Inan\|Case=Nom\|Degree=Sup\|Gender=Masc\|Number=Sing\|POS=ADJ`, `Case=Acc\|Gender=Neut\|Number=Sing\|POS=PRON\|PronType=Ind`, `Animacy=Anim\|Case=Dat\|Gender=Masc\|Number=Plur\|POS=NOUN`, `NumType=Mult\|POS=ADV`, `Case=Dat\|Number=Sing\|POS=PRON\|PronType=Prs\|Reflex=Yes`, `Animacy=Anim\|Case=Nom\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Tot`, `Animacy=Anim\|Case=Nom\|Gender=Masc\|Number=Sing\|POS=NUM`, `Case=Acc\|Number=Plur\|POS=PRON\|Person=2\|PronType=Prs`, `Aspect=Perf\|Gender=Fem\|Number=Sing\|POS=VERB\|Polarity=Neg\|Tense=Past\|VerbForm=Part`, `Case=Nom\|Gender=Fem\|Number=Sing\|POS=DET\|PronType=Emp`, `Case=Gen\|Number=Sing\|POS=PRON\|PronType=Prs\|Reflex=Yes`, `Case=Nom\|Gender=Neut\|Gender[psor]=Masc,Neut\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Animacy=Anim\|Case=Acc\|Gender=Masc\|Number=Plur\|POS=PROPN`, `Animacy=Anim\|Case=Loc\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=ADJ`, `Animacy=Anim\|Case=Nom\|Gender=Masc\|Gender[psor]=Masc,Neut\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Case=Nom\|Gender=Neut\|NumType=Card\|Number=Sing\|POS=DET\|PronType=Int,Rel`, `Case=Acc\|Gender=Fem\|Number=Plur\|Number[psor]=Plur\|POS=DET\|Person=2\|Poss=Yes\|PronType=Prs`, `Case=Nom\|Gender=Fem\|NumType=Mult\|Number=Plur\|POS=ADJ`, `Case=Nom\|Gender=Fem\|NumType=Mult\|Number=Sing\|POS=ADJ`, `Case=Loc\|Gender=Fem\|Gender[psor]=Masc,Neut\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Case=Loc\|Gender=Fem\|Number=Sing\|POS=DET\|PronType=Int,Rel`, `Case=Loc\|Number=Plur\|POS=PRON\|Person=2\|PronType=Prs`, `Case=Acc\|Gender=Neut\|Number=Sing\|Number[psor]=Plur\|POS=DET\|Person=2\|Poss=Yes\|PronType=Prs`, `Aspect=Imp\|Mood=Ind\|Number=Sing\|POS=AUX\|Person=3\|Polarity=Neg\|Tense=Fut\|VerbForm=Fin`, `Case=Acc\|Gender=Fem\|Number=Plur\|POS=PROPN`, `Animacy=Anim\|Case=Loc\|Gender=Masc\|Number=Sing\|POS=PROPN`, `Case=Acc\|Gender=Fem\|Number=Sing\|Number[psor]=Plur\|POS=DET\|Person=2\|Poss=Yes\|PronType=Prs`, `Case=Nom\|Gender=Fem\|Number=Plur\|Number[psor]=Plur\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Aspect=Imp\|Mood=Imp\|Number=Plur\|POS=VERB\|Person=2\|Polarity=Neg\|VerbForm=Fin`, `Animacy=Anim\|Case=Voc\|Gender=Masc\|Number=Plur\|POS=NOUN`, `Case=Loc\|Gender=Fem\|Number=Sing\|POS=NUM`, `Case=Acc\|Gender=Fem\|Number=Plur\|POS=DET\|PronType=Tot`, `Case=Loc\|Degree=Pos\|Gender=Neut\|Number=Sing\|POS=ADJ\|Polarity=Neg\|VerbForm=Part\|Voice=Pass`, `Animacy=Inan\|Case=Dat\|Gender=Masc\|Gender[psor]=Masc,Neut\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `AdpType=Preppron\|Case=Acc\|Gender=Neut\|Number=Sing\|POS=PRON\|PronType=Prs`, `Case=Acc\|Degree=Pos\|Gender=Neut\|Number=Sing\|POS=ADJ\|Polarity=Pos\|VerbForm=Part\|Voice=Act`, `Case=Nom\|Gender=Fem\|Number=Plur\|POS=NUM`, `Case=Nom\|Degree=Cmp\|Gender=Neut\|Number=Sing\|POS=ADJ`, `Case=Loc\|Gender=Fem\|Number=Plur\|POS=DET\|PronType=Dem`, `Case=Acc\|Degree=Sup\|Gender=Neut\|Number=Plur\|POS=ADJ`, `Animacy=Inan\|Aspect=Imp\|Gender=Masc\|Number=Plur\|POS=AUX\|Polarity=Pos\|Tense=Past\|VerbForm=Part`, `Animacy=Inan\|Case=Loc\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Dem`, `Animacy=Anim\|Case=Dat\|Gender=Masc\|Number=Plur\|POS=PRON\|Person=3\|PronType=Prs`, `Case=Gen\|Gender=Fem\|Number=Plur\|POS=DET\|PronType=Ind`, `Animacy=Inan\|Case=Nom\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Tot`, `Case=Acc\|Gender=Neut\|Number=Plur\|POS=PRON\|Person=3\|PronType=Prs`, `Aspect=Imp\|Mood=Ind\|Number=Sing\|POS=AUX\|Person=1\|Polarity=Neg\|Tense=Fut\|VerbForm=Fin`, `Aspect=Imp\|Mood=Ind\|Number=Sing\|POS=VERB\|Person=3\|Polarity=Pos\|Tense=Fut\|VerbForm=Fin`, `Animacy=Inan\|Case=Gen\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs`, `Animacy=Inan\|Case=Gen\|Degree=Pos\|Gender=Masc\|Number=Plur\|POS=ADJ\|Polarity=Pos\|VerbForm=Part\|Voice=Act`, `Case=Loc\|Degree=Cmp\|Gender=Neut\|Number=Sing\|POS=ADJ`, `Case=Loc\|Degree=Pos\|Gender=Fem\|Number=Plur\|POS=ADJ\|Typo=Yes`, `Case=Gen\|Degree=Pos\|Gender=Neut\|Number=Sing\|POS=ADJ\|Polarity=Pos\|VerbForm=Part\|Voice=Pass`, `Case=Nom\|Gender=Fem\|Gender[psor]=Fem\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Animacy=Inan\|Case=Gen\|Gender=Masc\|Gender[psor]=Fem\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Animacy=Inan\|Aspect=Perf\|Gender=Masc\|Number=Plur\|POS=VERB\|Polarity=Pos\|Tense=Past\|Typo=Yes\|VerbForm=Part`, `Case=Loc\|Gender=Fem\|Number=Plur\|POS=NOUN\|Typo=Yes`, `Animacy=Inan\|Case=Ins\|Degree=Cmp\|Gender=Masc\|Number=Sing\|POS=ADJ`, `Case=Acc\|Degree=Cmp\|Gender=Neut\|Number=Sing\|POS=ADJ`, `Animacy=Inan\|Case=Loc\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=ADJ\|Polarity=Pos\|VerbForm=Part\|Voice=Pass`, `Case=Loc\|Degree=Pos\|Gender=Fem\|Number=Sing\|POS=ADJ\|Polarity=Pos\|VerbForm=Part\|Voice=Pass`, `Case=Gen\|Degree=Sup\|Gender=Neut\|Number=Plur\|POS=ADJ`, `Case=Nom\|Degree=Pos\|Gender=Fem\|Number=Sing\|POS=ADJ\|Typo=Yes`, `Case=Gen\|Degree=Pos\|Gender=Fem\|Number=Sing\|POS=ADJ\|Polarity=Pos\|VerbForm=Part\|Voice=Pass`, `Animacy=Inan\|Case=Nom\|Gender=Masc\|Gender[psor]=Masc,Neut\|Number=Plur\|Number[psor]=Sing\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Animacy=Inan\|Case=Ins\|Gender=Masc\|Number=Sing\|POS=DET\|Poss=Yes\|PronType=Prs\|Reflex=Yes\|Typo=Yes`, `Aspect=Imp,Perf\|Mood=Ind\|Number=Plur\|POS=VERB\|Person=3\|Polarity=Pos\|Tense=Pres\|VerbForm=Fin`, `Case=Gen\|Gender=Fem\|Gender[psor]=Masc,Neut\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Animacy=Inan\|Case=Dat\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=ADJ\|Polarity=Pos\|VerbForm=Part\|Voice=Pass`, `Animacy=Inan\|Case=Loc\|Degree=Pos\|Gender=Masc\|Number=Plur\|POS=ADJ`, `Animacy=Anim\|Case=Ins\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=ADJ`, `Case=Gen\|Gender=Neut\|Number=Sing\|Number[psor]=Plur\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Case=Loc\|Gender=Neut\|Gender[psor]=Fem\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Case=Ins\|Gender=Neut\|NumType=Ord\|Number=Sing\|POS=ADJ`, `Case=Loc\|Degree=Pos\|Gender=Neut\|Number=Plur\|POS=ADJ\|Polarity=Pos\|VerbForm=Part\|Voice=Act`, `Animacy=Inan\|Case=Acc\|Gender=Masc\|Gender[psor]=Masc,Neut\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Case=Ins\|Degree=Pos\|Gender=Neut\|Number=Plur\|POS=ADJ\|Polarity=Pos\|VerbForm=Part\|Voice=Pass`, `Case=Ins\|Gender=Neut\|Number=Plur\|POS=NOUN`, `Case=Ins\|Degree=Pos\|Gender=Neut\|Number=Sing\|POS=ADJ\|Polarity=Pos\|VerbForm=Part\|Voice=Pass`, `Abbr=Yes\|POS=ADV`, `Animacy=Anim\|Case=Dat\|Degree=Pos\|Gender=Masc\|Number=Plur\|POS=ADJ`, `Animacy=Anim\|Case=Ins\|Gender=Masc\|Number=Sing\|POS=DET\|Poss=Yes\|PronType=Prs\|Reflex=Yes\|Typo=Yes`, `Case=Gen\|Gender=Fem\|NumType=Mult\|Number=Plur\|POS=ADJ`, `AdpType=Prep\|Case=Ins\|POS=ADP\|Typo=Yes`, `Animacy=Anim\|Case=Dat\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Int,Rel`, `Animacy=Inan\|Case=Acc\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=ADJ\|Polarity=Pos\|VerbForm=Part\|Voice=Act`, `Animacy=Anim\|Case=Loc\|Degree=Pos\|Gender=Masc\|Number=Plur\|POS=ADJ`, `Animacy=Anim\|Case=Loc\|Gender=Masc\|Number=Plur\|POS=NOUN`, `Case=Loc\|Gender=Fem\|Number=Plur\|POS=PRON\|Person=3\|PronType=Prs`, `Case=Nom\|Gender=Fem\|Gender[psor]=Masc,Neut\|Number=Plur\|Number[psor]=Sing\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Case=Nom\|Gender=Fem\|Number=Plur\|Number[psor]=Plur\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Case=Gen\|Degree=Pos\|Gender=Neut\|Number=Plur\|POS=ADJ\|Polarity=Pos\|VerbForm=Part\|Voice=Pass`, `Case=Gen\|Gender=Neut\|Number=Plur\|POS=DET\|PronType=Dem`, `Case=Loc\|Gender=Neut\|Number=Plur\|POS=DET\|PronType=Int,Rel`, `Case=Loc\|Number=Sing\|POS=PRON\|PronType=Prs\|Reflex=Yes`, `Case=Ins\|Gender=Fem\|Number=Sing\|POS=DET\|PronType=Dem`, `Case=Acc\|Gender=Fem\|NumType=Mult\|Number=Plur\|POS=ADJ`, `Case=Acc\|Gender=Neut\|Gender[psor]=Masc,Neut\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Case=Ins\|Gender=Fem\|Gender[psor]=Masc,Neut\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Case=Ins\|Degree=Sup\|Gender=Fem\|Number=Sing\|POS=ADJ`, `Case=Acc\|Degree=Pos\|Gender=Neut\|Number=Plur\|POS=ADJ\|Polarity=Pos\|VerbForm=Part\|Voice=Pass`, `Case=Ins\|Gender=Neut\|Gender[psor]=Fem\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Animacy=Inan\|Case=Loc\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Int,Rel`, `Case=Ins\|Gender=Neut\|Number=Plur\|POS=DET\|PronType=Ind`, `Case=Ins\|Degree=Pos\|Gender=Neut\|Number=Plur\|POS=ADJ`, `Case=Nom\|Gender=Fem\|Number=Plur\|POS=DET\|PronType=Int,Rel\|Typo=Yes`, `Animacy=Anim\|Case=Dat\|Gender=Masc\|Number=Plur\|POS=PROPN`, `POS=CCONJ\|Typo=Yes`, `Case=Gen\|Degree=Sup\|Gender=Fem\|Number=Sing\|POS=ADJ`, `Case=Gen\|Gender=Fem\|Number=Sing\|POS=DET\|Poss=Yes\|PronType=Prs\|Reflex=Yes`, `Animacy=Inan\|Case=Acc\|Gender=Masc\|Gender[psor]=Fem\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Animacy=Inan\|Case=Ins\|Gender=Masc\|Number=Plur\|POS=NUM`, `Animacy=Anim\|Case=Nom\|Degree=Sup\|Gender=Masc\|Number=Sing\|POS=ADJ\|Polarity=Pos\|VerbForm=Part\|Voice=Pass`, `Animacy=Inan\|Case=Gen\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=ADJ\|Polarity=Pos\|VerbForm=Part\|Voice=Act`, `AdpType=Prep\|Case=Gen\|POS=ADP\|Typo=Yes`, `Case=Nom\|Degree=Cmp\|Gender=Fem\|Number=Sing\|POS=ADJ`, `Animacy=Inan\|Case=Ins\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs`, `Animacy=Inan\|Case=Loc\|Degree=Sup\|Gender=Masc\|Number=Sing\|POS=ADJ`, `Animacy=Inan\|Case=Nom\|Degree=Pos\|Gender=Masc\|Number=Plur\|POS=ADJ\|Polarity=Pos\|VerbForm=Part\|Voice=Act`, `Animacy=Anim\|Case=Gen\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=ADJ\|Polarity=Pos\|VerbForm=Part\|Voice=Act`, `Animacy=Inan\|Case=Gen\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Dem`, `Animacy=Inan\|Case=Gen\|Degree=Pos\|Gender=Masc\|Number=Plur\|POS=ADJ\|Polarity=Pos\|VerbForm=Part\|Voice=Pass`, `Animacy=Inan\|Case=Loc\|Gender=Masc\|Number=Plur\|POS=PRON\|Person=3\|PronType=Prs`, `Animacy=Inan\|Case=Nom\|Gender=Masc\|NumType=Ord\|Number=Sing\|POS=ADJ`, `Case=Gen\|Gender=Neut\|Number=Sing\|POS=NUM`, `Animacy=Anim\|Case=Gen\|Gender=Masc\|Number=Plur\|POS=NUM`, `Case=Dat\|Degree=Cmp\|Gender=Fem\|Number=Sing\|POS=ADJ`, `Animacy=Anim\|Case=Dat\|Gender=Masc\|Number=Sing\|POS=PRON\|PronType=Int,Rel`, `Animacy=Anim\|Case=Ins\|Gender=Masc\|NumType=Ord\|Number=Sing\|POS=ADJ`, `Animacy=Anim\|Case=Ins\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=ADJ\|Polarity=Pos\|VerbForm=Part\|Voice=Act`, `Case=Gen\|Gender=Fem\|Number=Sing\|POS=NUM`, `Case=Gen\|Gender=Fem\|NumType=Ord\|Number=Plur\|POS=ADJ`, `POS=PRON\|PronType=Prs\|Reflex=Yes\|Typo=Yes`, `Case=Ins\|Gender=Fem\|Number=Sing\|POS=NOUN\|Typo=Yes`, `AdpType=Voc\|Case=Ins\|POS=ADP\|Typo=Yes`, `Case=Ins\|Gender=Fem\|Number=Plur\|POS=NUM`, `Case=Ins\|Degree=Pos\|Gender=Fem\|Number=Plur\|POS=ADJ\|Polarity=Pos\|VerbForm=Part\|Voice=Act`, `Case=Ins\|Degree=Pos\|Gender=Fem\|Number=Sing\|POS=ADJ\|Polarity=Pos\|VerbForm=Part\|Voice=Act`, `Animacy=Inan\|Case=Gen\|Gender=Masc\|NumType=Ord\|Number=Sing\|POS=ADJ`, `Animacy=Inan\|Case=Loc\|Gender=Masc\|NumType=Ord\|Number=Sing\|POS=ADJ`, `Case=Gen\|Degree=Cmp\|Gender=Neut\|Number=Sing\|POS=ADJ`, `Case=Acc\|Degree=Cmp\|Gender=Fem\|Number=Sing\|POS=ADJ`, `Case=Gen\|Gender=Neut\|Number=Sing\|POS=DET\|PronType=Int,Rel`, `Aspect=Imp\|Mood=Ind\|Number=Plur\|POS=AUX\|Person=1\|Polarity=Pos\|Tense=Fut\|VerbForm=Fin`, `Case=Loc\|Gender=Fem\|NumType=Ord\|Number=Plur\|POS=ADJ`, `Case=Loc\|Gender=Fem\|Number=Plur\|POS=NUM`, `Aspect=Perf\|POS=VERB\|Polarity=Pos\|VerbForm=Conv`, `Animacy=Anim\|Case=Nom\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Emp`, `Case=Loc\|Gender=Fem\|Number=Plur\|POS=DET\|PronType=Int,Rel`, `Animacy=Anim\|Case=Gen\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Emp`, `Animacy=Anim\|Case=Acc\|Degree=Pos\|Gender=Masc\|Number=Plur\|POS=ADJ`, `Animacy=Anim\|Case=Nom\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Int,Rel`, `Animacy=Anim\|Case=Ins\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Dem`, `Case=Nom\|Gender=Fem\|Number=Plur\|POS=DET\|PronType=Dem`, `Animacy=Inan\|Case=Gen\|Gender=Masc\|NumType=Mult\|Number=Plur\|POS=ADJ`, `Animacy=Inan\|Case=Gen\|Gender=Masc\|Number=Plur\|Number[psor]=Plur\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Animacy=Anim\|Case=Nom\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Emp`, `Animacy=Inan\|Aspect=Perf\|Gender=Masc\|Number=Sing\|POS=VERB\|Polarity=Neg\|Tense=Past\|VerbForm=Part`, `Case=Gen\|Degree=Pos\|Gender=Fem\|Number=Sing\|POS=ADJ\|Polarity=Pos\|VerbForm=Part\|Voice=Act`, `Animacy=Inan\|Case=Acc\|Degree=Cmp\|Gender=Masc\|Number=Plur\|POS=ADJ`, `Aspect=Perf\|Mood=Imp\|Number=Plur\|POS=VERB\|Person=1\|Polarity=Pos\|VerbForm=Fin`, `Animacy=Anim\|Case=Ins\|Gender=Masc\|Number=Plur\|POS=NOUN\|Typo=Yes`, `Animacy=Anim\|Case=Ins\|Gender=Masc\|Number=Plur\|POS=DET\|Poss=Yes\|PronType=Prs\|Reflex=Yes`, `Case=Gen\|Degree=Pos\|Number=Plur\|POS=ADJ\|Polarity=Pos\|VerbForm=Part\|Voice=Pass`, `Case=Loc\|Gender=Fem\|Number=Sing\|POS=NOUN\|Typo=Yes`, `Case=Nom\|Degree=Pos\|Gender=Fem\|Number=Plur\|POS=ADJ\|Polarity=Pos\|VerbForm=Part\|Voice=Act`, `Case=Gen\|Gender=Neut\|Number=Sing\|POS=PRON\|PronType=Int,Rel`, `Case=Ins\|Gender=Fem\|NumType=Ord\|Number=Sing\|POS=ADJ`, `Animacy=Anim\|Case=Gen\|Gender=Masc\|Gender[psor]=Masc,Neut\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Animacy=Anim\|Case=Nom\|Gender=Masc\|Number=Plur\|Number[psor]=Plur\|POS=DET\|Person=2\|Poss=Yes\|PronType=Prs`, `Animacy=Anim\|Case=Dat\|Gender=Masc\|Number=Plur\|Number[psor]=Plur\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Animacy=Anim\|Case=Ins\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Emp`, `Animacy=Inan\|Case=Ins\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=ADJ\|Polarity=Pos\|VerbForm=Part\|Voice=Act`, `Case=Ins\|Gender=Fem\|Number=Sing\|POS=PROPN`, `Case=Gen\|Degree=Pos\|Gender=Fem\|Number=Sing\|POS=ADJ\|Polarity=Pos\|Typo=Yes\|VerbForm=Part\|Voice=Act`, `Animacy=Inan\|Case=Acc\|Gender=Masc\|Number=Sing\|Number[psor]=Plur\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Animacy=Anim\|Case=Ins\|Gender=Masc\|Number=Plur\|POS=NUM`, `Animacy=Anim\|Case=Nom\|Gender=Masc\|Number=Plur\|POS=NOUN\|Typo=Yes`, `Case=Nom\|Number=Plur\|POS=PRON\|Person=1\|PronType=Prs`, `Animacy=Anim\|Case=Ins\|Degree=Pos\|Gender=Masc\|Number=Plur\|POS=ADJ\|Polarity=Pos\|VerbForm=Part\|Voice=Act`, `Case=Loc\|Gender=Neut\|Number=Sing\|Number[psor]=Plur\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Case=Ins\|Gender=Fem\|Number=Sing\|POS=NUM`, `Case=Gen\|Degree=Pos\|Gender=Fem\|Number=Plur\|POS=ADJ\|Polarity=Pos\|VerbForm=Part\|Voice=Act`, `Case=Acc\|Gender=Fem\|Number=Plur\|POS=DET\|PronType=Dem`, `Animacy=Inan\|Case=Acc\|Degree=Pos\|Gender=Masc\|Number=Plur\|POS=ADJ\|Polarity=Pos\|VerbForm=Part\|Voice=Pass`, `Animacy=Anim\|Case=Ins\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Ind`, `Animacy=Anim\|Case=Acc\|Degree=Pos\|Gender=Masc\|Number=Plur\|POS=ADJ\|Polarity=Pos\|VerbForm=Part\|Voice=Act`, `Animacy=Anim\|Case=Ins\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs`, `Aspect=Imp\|Mood=Ind\|Number=Plur\|POS=VERB\|Person=3\|Polarity=Pos\|Tense=Pres\|Typo=Yes\|VerbForm=Fin`, `Case=Dat\|Degree=Pos\|Gender=Fem\|Number=Plur\|POS=ADJ`, `Case=Dat\|Gender=Fem\|Number=Plur\|POS=NOUN`, `Animacy=Inan\|Case=Gen\|Gender=Masc\|Gender[psor]=Masc,Neut\|Number=Plur\|Number[psor]=Sing\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Aspect=Imp,Perf\|Gender=Neut\|Number=Sing\|POS=VERB\|Polarity=Pos\|Tense=Past\|VerbForm=Part`, `Animacy=Inan\|Case=Loc\|Gender=Masc\|Number=Sing\|Number[psor]=Plur\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Animacy=Anim\|Case=Nom\|Degree=Pos\|Gender=Masc\|Number=Plur\|POS=ADJ\|Polarity=Pos\|VerbForm=Part\|Voice=Act`, `Case=Acc\|Degree=Sup\|Gender=Neut\|Number=Sing\|POS=ADJ`, `Animacy=Inan\|Case=Nom\|Gender=Masc\|Number=Plur\|POS=NUM`, `Case=Dat\|Degree=Pos\|Gender=Neut\|Number=Sing\|POS=ADJ\|Polarity=Pos\|VerbForm=Part\|Voice=Act`, `Case=Dat\|Degree=Pos\|Gender=Neut\|Number=Sing\|POS=ADJ\|Polarity=Pos\|VerbForm=Part\|Voice=Pass`, `Case=Loc\|Degree=Pos\|Gender=Neut\|Number=Sing\|POS=ADJ\|Polarity=Pos\|VerbForm=Part\|Voice=Pass`, `Aspect=Imp\|POS=VERB\|Polarity=Pos\|VerbForm=Conv`, `Case=Nom\|Degree=Pos\|Gender=Neut\|Number=Plur\|POS=ADJ\|Polarity=Pos\|VerbForm=Part\|Voice=Act`, `Animacy=Anim\|Case=Acc\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Emp`, `Case=Gen\|Gender=Fem\|Gender[psor]=Masc,Neut\|Number=Plur\|Number[psor]=Sing\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Aspect=Imp\|Mood=Ind\|Number=Sing\|POS=AUX\|Person=2\|Polarity=Pos\|Tense=Pres\|VerbForm=Fin`, `AdpType=Preppron\|Animacy=Inan\|Case=Acc\|Gender=Masc\|Number=Sing\|POS=PRON\|PronType=Prs`, `Case=Gen\|Gender=Neut\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Animacy=Inan\|Case=Acc\|Gender=Masc\|NumType=Ord\|Number=Sing\|POS=ADJ`, `Animacy=Inan\|Case=Acc\|Gender=Masc\|NumType=Mult\|Number=Sing\|POS=ADV`, `Case=Gen\|Number=Sing\|POS=PRON\|Person=1\|PronType=Prs`, `Animacy=Anim\|Case=Loc\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs`, `Aspect=Perf\|Mood=Ind\|Number=Sing\|POS=VERB\|Person=1\|Polarity=Neg\|Tense=Pres\|VerbForm=Fin`, `Aspect=Imp\|Gender=Neut\|Number=Plur\|POS=VERB\|Polarity=Pos\|Tense=Past\|VerbForm=Part`, `Case=Acc\|Number=Sing\|POS=PRON\|Person=2\|PronType=Prs`, `Case=Dat\|Number=Sing\|POS=PRON\|Person=2\|PronType=Prs`, `Aspect=Perf\|Gender=Neut\|Number=Sing\|POS=VERB\|Polarity=Neg\|Tense=Past\|VerbForm=Part`, `Aspect=Imp,Perf\|Gender=Fem\|Number=Sing\|POS=VERB\|Polarity=Pos\|Tense=Past\|VerbForm=Part`, `Animacy=Anim\|Aspect=Imp\|Gender=Masc\|Number=Sing\|POS=VERB\|Polarity=Pos\|Tense=Past\|Typo=Yes\|VerbForm=Part`, `Animacy=Inan\|Case=Nom\|Gender=Masc\|Number=Plur\|Number[psor]=Plur\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Animacy=Inan\|Case=Acc\|Gender=Masc\|Gender[psor]=Masc,Neut\|Number=Plur\|Number[psor]=Sing\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Aspect=Perf\|Mood=Ind\|Number=Sing\|POS=VERB\|Person=2\|Polarity=Pos\|Tense=Pres\|VerbForm=Fin`, `Case=Acc\|Gender=Neut\|Gender[psor]=Masc,Neut\|Number=Plur\|Number[psor]=Sing\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Animacy=Anim\|Case=Nom\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Tot`, `Aspect=Imp\|Mood=Ind\|Number=Sing\|POS=VERB\|Person=2\|Polarity=Neg\|Tense=Pres\|VerbForm=Fin`, `Animacy=Anim\|Aspect=Imp,Perf\|Gender=Masc\|Number=Sing\|POS=VERB\|Polarity=Pos\|Tense=Past\|VerbForm=Part`, `Aspect=Imp\|Mood=Ind\|Number=Sing\|POS=AUX\|Person=1\|Polarity=Pos\|Tense=Pres\|Typo=Yes\|VerbForm=Fin`, `Case=Acc\|Degree=Pos\|Gender=Fem\|Number=Plur\|POS=ADJ\|Polarity=Pos\|VerbForm=Part\|Voice=Pass`, `POS=NUM`, `Aspect=Imp,Perf\|Mood=Ind\|Number=Sing\|POS=VERB\|Person=1\|Polarity=Neg\|Tense=Pres\|VerbForm=Fin`, `Animacy=Anim\|Case=Acc\|Gender=Masc\|Number=Sing\|POS=PRON\|PronType=Neg`, `Aspect=Imp\|Mood=Imp\|Number=Plur\|POS=VERB\|Person=1\|Polarity=Pos\|VerbForm=Fin`, `Animacy=Anim\|Case=Dat\|Degree=Sup\|Gender=Masc\|Number=Plur\|POS=ADJ`, `Case=Ins\|Number=Sing\|POS=PRON\|Person=1\|PronType=Prs`, `Aspect=Imp,Perf\|Mood=Ind\|Number=Sing\|POS=VERB\|Person=1\|Polarity=Pos\|Tense=Pres\|VerbForm=Fin`, `Animacy=Inan\|Case=Acc\|Degree=Pos\|Gender=Masc\|Number=Plur\|POS=ADJ\|Polarity=Pos\|VerbForm=Part\|Voice=Act`, `Case=Nom\|Number=Sing\|POS=PRON\|Person=2\|PronType=Prs`, `Animacy=Inan\|Case=Acc\|Gender=Masc\|Number=Sing\|Number[psor]=Plur\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Animacy=Anim\|Case=Nom\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs`, `Animacy=Anim\|Case=Gen\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs`, `Animacy=Inan\|Case=Acc\|Gender=Masc\|NumType=Mult\|Number=Sing\|POS=ADJ`, `Case=Ins\|Gender=Fem\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs`, `Case=Voc\|Gender=Fem\|Number=Sing\|POS=NOUN`, `Case=Ins\|Number=Sing\|POS=PRON\|Person=2\|PronType=Prs`, `Aspect=Imp,Perf\|Gender=Fem\|Number=Sing\|POS=VERB\|Polarity=Neg\|Tense=Past\|VerbForm=Part`, `Case=Dat\|Gender=Fem\|Number=Sing\|POS=PROPN`, `Animacy=Anim\|Case=Nom\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Ind`, `Animacy=Anim\|Aspect=Imp,Perf\|Gender=Masc\|Number=Plur\|POS=VERB\|Polarity=Pos\|Tense=Past\|VerbForm=Part`, `Case=Acc\|Gender=Fem\|Number=Sing\|POS=DET\|PronType=Ind`, `Case=Acc\|Gender=Fem\|Number=Plur\|POS=DET\|PronType=Ind`, `Case=Acc\|Gender=Fem\|Number=Sing\|POS=PROPN`, `Aspect=Perf\|Mood=Imp\|Number=Sing\|POS=VERB\|Person=2\|Polarity=Neg\|VerbForm=Fin`, `Aspect=Imp\|Number=Plur\|POS=AUX\|Polarity=Pos\|Tense=Past\|VerbForm=Part`, `Animacy=Inan\|Case=Gen\|Gender=Masc\|Number=Sing\|Number[psor]=Plur\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Aspect=Imp,Perf\|Number=Plur\|POS=VERB\|Polarity=Pos\|Tense=Past\|VerbForm=Part`, `Case=Acc\|Gender=Fem\|NumType=Ord\|Number=Sing\|POS=ADJ`, `Animacy=Inan\|Case=Nom\|Gender=Masc\|Number=Sing\|POS=NUM`, `Aspect=Imp\|Mood=Imp\|Number=Sing\|POS=VERB\|Person=2\|Polarity=Neg\|VerbForm=Fin`, `Case=Ins\|Gender=Neut\|Number=Sing\|POS=PROPN`, `Case=Gen\|Gender=Fem\|Number=Sing\|Number[psor]=Plur\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Animacy=Inan\|Case=Loc\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Neg`, `Aspect=Perf\|Mood=Ind\|Number=Plur\|POS=VERB\|Person=1\|Polarity=Neg\|Tense=Pres\|VerbForm=Fin`, `Case=Nom\|Gender=Neut\|Number=Plur\|POS=DET\|PronType=Dem`, `Mood=Cnd\|POS=PART`, `Case=Loc\|Number=Sing\|POS=PRON\|Person=2\|PronType=Prs`, `Animacy=Inan\|Case=Nom\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Ind`, `Animacy=Anim\|Case=Acc\|Gender=Masc\|Number=Sing\|POS=PRON\|PronType=Ind`, `Animacy=Anim\|Case=Loc\|Gender=Masc\|NumType=Ord\|Number=Plur\|POS=ADJ`, `Animacy=Inan\|Case=Loc\|Degree=Sup\|Gender=Masc\|Number=Plur\|POS=ADJ`, `Animacy=Inan\|Case=Gen\|Gender=Masc\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=2\|Poss=Yes\|PronType=Prs`, `Aspect=Perf\|Gender=Fem\|Number=Sing\|POS=VERB\|Polarity=Pos\|Tense=Past\|Typo=Yes\|VerbForm=Part`, `Case=Loc\|Gender=Fem\|Number=Plur\|Number[psor]=Plur\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Animacy=Inan\|Case=Acc\|Gender=Masc\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Animacy=Inan\|Case=Nom\|Degree=Pos\|Gender=Masc\|Number=Plur\|POS=ADJ\|Polarity=Neg\|VerbForm=Part\|Voice=Pass`, `Case=Ins\|Gender=Neut\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs`, `Case=Acc\|Gender=Neut\|Number=Sing\|POS=DET\|PronType=Ind`, `Case=Acc\|Gender=Fem\|Number=Plur\|POS=PRON\|Person=3\|PronType=Prs`, `Animacy=Inan\|Case=Dat\|Gender=Masc\|Number=Sing\|Number[psor]=Plur\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Animacy=Inan\|Case=Dat\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=ADJ`, `Case=Gen\|Number=Plur\|POS=PRON\|Person=2\|PronType=Prs`, `Animacy=Inan\|Case=Ins\|Gender=Masc\|Number=Sing\|Number[psor]=Plur\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Case=Gen\|Gender=Fem\|Number=Sing\|POS=DET\|PronType=Int,Rel`, `Case=Acc\|Gender=Fem\|Number=Plur\|Number[psor]=Sing\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Case=Dat\|Gender=Neut\|Number=Sing\|Number[psor]=Plur\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Case=Dat\|Degree=Pos\|Gender=Fem\|Number=Plur\|POS=ADJ\|Polarity=Pos\|VerbForm=Part\|Voice=Pass`, `Case=Acc\|Gender=Neut\|NumType=Card\|Number=Sing\|POS=DET\|PronType=Dem`, `Case=Acc\|Gender=Neut\|Number=Plur\|POS=DET\|PronType=Dem`, `Case=Loc\|Number=Sing\|POS=PRON\|Person=1\|PronType=Prs`, `Case=Nom\|Gender=Fem\|Number=Plur\|POS=DET\|PronType=Tot`, `Aspect=Perf\|Mood=Ind\|Number=Sing\|POS=VERB\|Person=1\|Polarity=Pos\|Tense=Pres\|Typo=Yes\|VerbForm=Fin`, `Animacy=Inan\|Case=Ins\|Gender=Masc\|NumType=Card\|Number=Plur\|POS=DET\|PronType=Ind`, `Animacy=Anim\|Case=Dat\|Gender=Masc\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=2\|Poss=Yes\|PronType=Prs`, `Animacy=Inan\|Aspect=Imp\|Gender=Masc\|Number=Sing\|POS=VERB\|Polarity=Neg\|Tense=Past\|VerbForm=Part`, `Animacy=Anim\|Case=Gen\|Degree=Pos\|Gender=Masc\|Number=Plur\|POS=ADJ\|Polarity=Pos\|VerbForm=Part\|Voice=Act`, `Case=Loc\|Gender=Neut\|Number=Sing\|POS=DET\|Poss=Yes\|PronType=Prs\|Reflex=Yes`, `Animacy=Inan\|Case=Acc\|Gender=Masc\|Number=Plur\|POS=DET\|Poss=Yes\|PronType=Prs\|Reflex=Yes`, `Animacy=Inan\|Case=Dat\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs`, `Case=Loc\|Gender=Neut\|Number=Plur\|POS=DET\|PronType=Dem`, `Animacy=Inan\|Case=Acc\|Gender=Masc\|Number=Sing\|POS=NUM`, `Animacy=Inan\|Case=Ins\|Gender=Masc\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Case=Ins\|Gender=Neut\|Number=Plur\|POS=PRON\|Person=3\|PronType=Prs`, `Animacy=Anim\|Case=Nom\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Ind`, `Aspect=Imp\|Gender=Fem\|Number=Sing\|POS=AUX\|Polarity=Neg\|Tense=Past\|VerbForm=Part`, `Case=Acc\|Gender=Fem\|NumType=Mult\|Number=Sing\|POS=ADJ`, `Case=Gen\|Gender=Fem\|Number=Plur\|Number[psor]=Sing\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Animacy=Inan\|Case=Gen\|Gender=Masc\|NumType=Mult\|Number=Plur\|POS=ADV`, `Animacy=Inan\|Case=Nom\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Emp`, `Case=Loc\|Gender=Neut\|Number=Plur\|POS=NUM`, `Case=Nom\|Number=Plur\|POS=PRON\|Person=2\|PronType=Prs`, `Case=Loc\|Gender=Neut\|Number=Sing\|POS=PRON\|PronType=Int,Rel`, `Case=Nom\|Gender=Fem\|Number=Sing\|POS=PRON\|PronType=Prs`, `AdpType=Preppron\|Animacy=Anim\|Case=Gen\|Gender=Masc\|Number=Sing\|POS=PRON\|PronType=Prs`, `Case=Ins\|Gender=Neut\|Number=Sing\|POS=PRON\|PronType=Int,Rel`, `Aspect=Imp\|Mood=Ind\|Number=Sing\|POS=VERB\|Person=1\|Polarity=Neg\|Tense=Fut\|VerbForm=Fin`, `Animacy=Inan\|Case=Acc\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Dem`, `Animacy=Inan\|Case=Acc\|Degree=Sup\|Gender=Masc\|Number=Plur\|POS=ADJ`, `Case=Gen\|Gender=Fem\|Number=Plur\|POS=DET\|Poss=Yes\|PronType=Prs\|Reflex=Yes`, `Animacy=Anim\|Case=Acc\|Gender=Masc\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=2\|Poss=Yes\|PronType=Prs`, `Case=Acc\|Gender=Neut\|NumType=Ord\|Number=Sing\|POS=ADJ`, `Aspect=Perf\|Gender=Neut\|Number=Plur\|POS=VERB\|Polarity=Pos\|Tense=Past\|VerbForm=Part`, `Aspect=Imp,Perf\|Mood=Imp\|Number=Sing\|POS=VERB\|Person=2\|Polarity=Pos\|VerbForm=Fin`, `Case=Gen\|Gender=Fem\|Number=Sing\|POS=NOUN\|Typo=Yes`, `Case=Gen\|Number=Sing\|POS=PRON\|Person=2\|PronType=Prs`, `Case=Acc\|Gender=Fem\|Number=Plur\|POS=DET\|PronType=Emp`, `Animacy=Inan\|Case=Acc\|Gender=Masc\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=2\|Poss=Yes\|PronType=Prs`, `Case=Gen\|Gender=Fem\|Number=Plur\|POS=DET\|PronType=Int,Rel`, `Case=Acc\|Gender=Fem\|Number=Sing\|POS=NOUN\|Typo=Yes`, `Animacy=Inan\|Case=Nom\|Gender=Masc\|NumType=Ord\|Number=Plur\|POS=ADJ`, `Animacy=Anim\|Case=Loc\|Gender=Masc\|Number=Plur\|POS=PRON\|Person=3\|PronType=Prs`, `Animacy=Inan\|Case=Nom\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=ADJ\|Polarity=Neg\|VerbForm=Part\|Voice=Pass`, `Animacy=Anim\|Case=Acc\|Gender=Masc\|NumType=Mult\|Number=Plur\|POS=ADJ`, `NumType=Mult\|POS=ADV\|PronType=Ind`, `Aspect=Imp,Perf\|Gender=Neut\|Number=Sing\|POS=VERB\|Polarity=Neg\|Tense=Past\|VerbForm=Part`, `Case=Nom\|Degree=Pos\|Number=Plur\|POS=ADJ\|Polarity=Pos\|VerbForm=Part\|Voice=Pass`, `Case=Nom\|Gender=Fem\|Number=Plur\|POS=DET\|PronType=Neg`, `Case=Acc\|Gender=Neut\|Number=Plur\|Number[psor]=Sing\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Case=Nom\|Gender=Fem\|Number=Plur\|POS=DET\|PronType=Emp`, `Animacy=Anim\|Case=Dat\|Gender=Masc\|Number=Plur\|POS=NUM`, `Case=Ins\|Gender=Fem\|Number=Sing\|POS=DET\|PronType=Ind`, `Animacy=Anim\|Case=Dat\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Tot`, `Case=Nom\|Gender=Neut\|Number=Plur\|POS=PROPN`, `Case=Gen\|Gender=Neut\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs`, `Animacy=Anim\|Aspect=Imp\|Gender=Masc\|Number=Plur\|POS=AUX\|Polarity=Pos\|Tense=Past\|VerbForm=Part`, `Case=Nom\|Degree=Cmp\|Gender=Fem\|Number=Plur\|POS=ADJ`, `Case=Nom\|Gender=Neut\|Number=Sing\|POS=DET\|PronType=Emp`, `Animacy=Anim\|Case=Gen\|Gender=Masc\|Number=Sing\|POS=DET\|Poss=Yes\|PronType=Prs\|Reflex=Yes`, `Animacy=Anim\|Case=Gen\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Int,Rel`, `Animacy=Inan\|Case=Loc\|Gender=Masc\|NumType=Card\|Number=Plur\|POS=DET\|PronType=Ind`, `Animacy=Inan\|Aspect=Imp\|Gender=Masc\|Number=Plur\|POS=VERB\|Polarity=Neg\|Tense=Past\|VerbForm=Part`, `Case=Ins\|Gender=Neut\|Number=Sing\|POS=PRON\|PronType=Ind`, `Animacy=Anim\|Case=Ins\|Gender=Masc\|Number=Plur\|POS=PRON\|Person=3\|PronType=Prs`, `Aspect=Imp\|Mood=Ind\|Number=Plur\|POS=AUX\|Person=3\|Polarity=Neg\|Tense=Pres\|VerbForm=Fin`, `Animacy=Anim\|Case=Ins\|Degree=Pos\|Gender=Masc\|Number=Plur\|POS=ADJ\|Polarity=Pos\|VerbForm=Part\|Voice=Pass`, `Animacy=Anim\|Case=Ins\|Degree=Sup\|Gender=Masc\|Number=Plur\|POS=ADJ`, `Animacy=Anim\|Case=Nom\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Neg`, `Animacy=Anim\|Case=Ins\|Degree=Sup\|Gender=Masc\|Number=Sing\|POS=ADJ`, `Case=Dat\|Gender=Fem\|Number=Sing\|POS=DET\|PronType=Int,Rel`, `Animacy=Inan\|Case=Acc\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Neg`, `Aspect=Imp\|POS=VERB\|Polarity=Pos\|Typo=Yes\|VerbForm=Inf`, `Case=Acc\|Gender=Fem\|Number=Plur\|POS=NOUN\|Typo=Yes`, `Animacy=Inan\|Case=Loc\|Gender=Masc\|NumType=Ord\|Number=Plur\|POS=ADJ`, `Aspect=Perf\|Gender=Fem\|Number=Plur\|POS=VERB\|Polarity=Neg\|Tense=Past\|VerbForm=Part`, `Case=Loc\|Degree=Pos\|Gender=Fem\|Number=Sing\|POS=ADJ\|Polarity=Pos\|VerbForm=Part\|Voice=Act`, `Case=Gen\|Gender=Fem\|Number=Plur\|POS=PRON\|Person=3\|PronType=Prs`, `Animacy=Inan\|Case=Dat\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Dem`, `Case=Dat\|Gender=Fem\|Number=Plur\|POS=DET\|PronType=Ind`, `Case=Nom\|Degree=Pos\|Gender=Neut\|Number=Plur\|POS=ADJ\|Polarity=Pos\|VerbForm=Part\|Voice=Pass`, `Animacy=Inan\|Case=Ins\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Int,Rel`, `Case=Gen\|Gender=Neut\|Number=Plur\|POS=PRON\|Person=3\|PronType=Prs`, `Case=Acc\|Degree=Pos\|Gender=Neut\|Number=Plur\|POS=ADJ\|Polarity=Neg\|VerbForm=Part\|Voice=Pass`, `Case=Nom\|Gender=Fem\|Number=Sing\|Number[psor]=Plur\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Case=Ins\|Gender=Fem\|Number=Sing\|POS=DET\|PronType=Int,Rel`, `Animacy=Inan\|Case=Dat\|Degree=Cmp\|Gender=Masc\|Number=Sing\|POS=ADJ`, `Animacy=Anim\|Case=Acc\|Degree=Cmp\|Gender=Masc\|Number=Plur\|POS=ADJ`, `Animacy=Inan\|Case=Gen\|Gender=Masc\|Number=Plur\|POS=DET\|Poss=Yes\|PronType=Prs\|Reflex=Yes`, `Case=Acc\|Degree=Pos\|Gender=Neut\|Number=Plur\|POS=ADJ\|Polarity=Pos\|VerbForm=Part\|Voice=Act`, `Case=Acc\|Degree=Pos\|Gender=Fem\|Number=Sing\|POS=ADJ\|Polarity=Pos\|VerbForm=Part\|Voice=Act`, `Case=Dat\|Degree=Pos\|Gender=Fem\|Number=Plur\|POS=ADJ\|Polarity=Pos\|VerbForm=Part\|Voice=Act`, `Animacy=Anim\|Case=Gen\|Degree=Cmp\|Gender=Masc\|Number=Plur\|POS=ADJ`, `Case=Loc\|Degree=Cmp\|Gender=Fem\|Number=Plur\|POS=ADJ`, `Case=Loc\|Gender=Fem\|Number=Plur\|POS=DET\|Poss=Yes\|PronType=Prs\|Reflex=Yes`, `Case=Loc\|Gender=Fem\|Number=Plur\|Number[psor]=Plur\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Case=Nom\|Gender=Neut\|Number=Plur\|POS=DET\|PronType=Int,Rel`, `Case=Loc\|Gender=Neut\|Number=Sing\|POS=DET\|PronType=Ind`, `Case=Dat\|Gender=Fem\|Number=Sing\|POS=DET\|PronType=Dem`, `Animacy=Anim\|Case=Gen\|Gender=Masc\|NumType=Ord\|Number=Sing\|POS=ADJ`, `Case=Dat\|Gender=Fem\|Number=Plur\|POS=NUM`, `Animacy=Inan\|Case=Gen\|Degree=Cmp\|Gender=Masc\|Number=Sing\|POS=ADJ`, `Aspect=Perf\|Number=Plur\|POS=VERB\|Polarity=Neg\|Tense=Past\|VerbForm=Part`, `Case=Acc\|Gender=Neut\|Number=Plur\|POS=DET\|PronType=Neg`, `Animacy=Inan\|Case=Ins\|Gender=Masc\|Number=Plur\|POS=PRON\|Person=3\|PronType=Prs`, `Case=Loc\|Degree=Pos\|Gender=Neut\|Number=Plur\|POS=ADJ\|Polarity=Pos\|VerbForm=Part\|Voice=Pass`, `Animacy=Anim\|Case=Nom\|Gender=Masc\|NumType=Ord\|Number=Sing\|POS=ADJ`, `Animacy=Anim\|Case=Dat\|Degree=Pos\|Gender=Masc\|Number=Plur\|POS=ADJ\|Polarity=Pos\|VerbForm=Part\|Voice=Pass`, `Case=Ins\|Degree=Sup\|Gender=Neut\|Number=Sing\|POS=ADJ`, `Animacy=Anim\|Case=Nom\|Gender=Masc\|Number=Plur\|Number[psor]=Plur\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Animacy=Anim\|Case=Gen\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Int,Rel`, `Animacy=Anim\|Case=Gen\|Gender=Masc\|Number=Plur\|Number[psor]=Plur\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Animacy=Anim\|Case=Acc\|Gender=Masc\|Gender[psor]=Masc,Neut\|Number=Plur\|Number[psor]=Sing\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Case=Ins\|Gender=Neut\|Number=Sing\|POS=DET\|Poss=Yes\|PronType=Prs\|Reflex=Yes`, `Case=Acc\|Gender=Fem\|Number=Sing\|POS=DET\|PronType=Dem\|Typo=Yes`, `Case=Nom\|Degree=Sup\|Gender=Fem\|Number=Plur\|POS=ADJ`, `Case=Ins\|Gender=Fem\|Number=Plur\|POS=DET\|Poss=Yes\|PronType=Prs\|Reflex=Yes`, `Case=Dat\|Gender=Neut\|Number=Sing\|POS=PRON\|PronType=Int,Rel`, `Case=Dat\|Gender=Fem\|Gender[psor]=Masc,Neut\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Animacy=Inan\|Case=Acc\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Ind`, `Animacy=Anim\|Case=Voc\|Gender=Masc\|Number=Sing\|POS=PROPN`, `Case=Acc\|Gender=Neut\|NumType=Card\|Number=Sing\|POS=DET\|PronType=Int,Rel`, `Case=Gen\|Gender=Neut\|Number=Sing\|POS=PRON\|PronType=Neg`, `Case=Ins\|Gender=Fem\|Gender[psor]=Masc,Neut\|Number=Plur\|Number[psor]=Sing\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Animacy=Anim\|Case=Dat\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Tot`, `Aspect=Imp\|Mood=Ind\|Number=Sing\|POS=AUX\|Person=2\|Polarity=Pos\|Tense=Fut\|VerbForm=Fin`, `Case=Nom\|Gender=Fem\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=2\|Poss=Yes\|PronType=Prs`, `Aspect=Imp,Perf\|Mood=Ind\|Number=Sing\|POS=VERB\|Person=3\|Polarity=Neg\|Tense=Pres\|VerbForm=Fin`, `Aspect=Imp\|Mood=Ind\|Number=Plur\|POS=VERB\|Person=3\|Polarity=Neg\|Tense=Fut\|VerbForm=Fin`, `Animacy=Inan\|Case=Nom\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Tot`, `Case=Nom\|Gender=Neut\|Gender[psor]=Masc,Neut\|Number=Plur\|Number[psor]=Sing\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Animacy=Inan\|Case=Loc\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Tot`, `Animacy=Inan\|Case=Nom\|Gender=Masc\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=2\|Poss=Yes\|PronType=Prs`, `Case=Dat\|Gender=Neut\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs`, `Animacy=Inan\|Case=Nom\|Gender=Masc\|Gender[psor]=Fem\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Case=Acc\|Number=Plur\|POS=PRON\|Person=3\|PronType=Prs`, `Aspect=Imp\|Gender=Neut\|Number=Sing\|POS=AUX\|Polarity=Neg\|Tense=Past\|VerbForm=Part`, `Animacy=Inan\|Case=Nom\|Gender=Masc\|NumType=Mult\|Number=Sing\|POS=ADJ`, `Case=Gen\|Gender=Fem\|Number=Sing\|POS=DET\|PronType=Ind`, `Case=Gen\|Gender=Fem\|NumType=Card\|Number=Plur\|POS=DET\|PronType=Ind`, `ConjType=Oper\|POS=SYM`, `POS=SYM`, `Case=Dat\|Degree=Cmp\|Gender=Neut\|Number=Sing\|POS=ADJ`, `Animacy=Inan\|Case=Ins\|Gender=Masc\|Gender[psor]=Masc,Neut\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Case=Ins\|Gender=Neut\|Gender[psor]=Masc,Neut\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Animacy=Anim\|Aspect=Imp,Perf\|Gender=Masc\|Number=Sing\|POS=VERB\|Polarity=Neg\|Tense=Past\|VerbForm=Part`, `Case=Acc\|Gender=Fem\|Number=Sing\|POS=DET\|PronType=Neg`, `Animacy=Anim\|Case=Acc\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Tot`, `Case=Nom\|Gender=Neut\|Number=Plur\|POS=DET\|PronType=Ind`, `Animacy=Anim\|Case=Ins\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Dem`, `Animacy=Inan\|Case=Ins\|Degree=Cmp\|Gender=Masc\|Number=Plur\|POS=ADJ\|Polarity=Pos\|VerbForm=Part\|Voice=Pass`, `Animacy=Anim\|Case=Nom\|Gender=Masc\|NumType=Mult\|Number=Sing\|POS=ADJ`, `Animacy=Anim\|Case=Acc\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Int,Rel`, `Case=Gen\|Gender=Neut\|Number=Sing\|POS=DET\|PronType=Ind`, `Case=Nom\|Degree=Sup\|Gender=Fem\|Number=Sing\|POS=ADJ`, `Aspect=Imp\|Gender=Fem\|Number=Plur\|POS=VERB\|Polarity=Neg\|Tense=Past\|VerbForm=Part`, `Animacy=Inan\|Case=Ins\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Int,Rel`, `Animacy=Inan\|Case=Ins\|Gender=Masc\|NumType=Mult\|Number=Sing\|POS=ADJ`, `Aspect=Perf\|Gender=Neut\|Number=Plur\|POS=VERB\|Polarity=Neg\|Tense=Past\|VerbForm=Part`, `Case=Nom\|Degree=Cmp\|Gender=Neut\|Number=Plur\|POS=ADJ`, `Case=Dat\|Gender=Fem\|Number=Sing\|Number[psor]=Plur\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Case=Gen\|Gender=Neut\|Gender[psor]=Masc,Neut\|Number=Plur\|Number[psor]=Sing\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Case=Nom\|Gender=Fem\|Number=Sing\|POS=DET\|PronType=Neg`, `Animacy=Anim\|Case=Nom\|Gender=Masc\|Number=Sing\|POS=PROPN\|Typo=Yes`, `POS=DET\|PronType=Dem`, `Aspect=Imp\|Mood=Ind\|Number=Sing\|POS=VERB\|Person=1\|Polarity=Pos\|Tense=Fut\|VerbForm=Fin`, `Animacy=Inan\|Case=Acc\|Gender=Masc\|Gender[psor]=Fem\|Number=Plur\|Number[psor]=Sing\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Animacy=Anim\|Case=Loc\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Tot`, `Case=Nom\|Gender=Fem\|Number=Sing\|POS=DET\|Poss=Yes\|PronType=Ind`, `Animacy=Inan\|Case=Gen\|Gender=Masc\|NumType=Card\|Number=Plur\|POS=DET\|PronType=Ind`, `Animacy=Anim\|Case=Voc\|Gender=Masc\|Number=Sing\|POS=NOUN`, `Animacy=Anim\|Case=Acc\|Degree=Pos\|Gender=Masc\|Number=Plur\|POS=ADJ\|Polarity=Neg\|VerbForm=Part\|Voice=Pass`, `Case=Acc\|Gender=Fem\|Gender[psor]=Fem\|Number=Plur\|Number[psor]=Sing\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Animacy=Anim\|Case=Gen\|Gender=Masc\|Number=Plur\|POS=PRON\|Person=3\|PronType=Prs`, `Case=Acc\|Gender=Fem\|Number=Plur\|POS=DET\|PronType=Neg`, `Case=Acc\|Gender=Neut\|Gender[psor]=Fem\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Case=Acc\|Gender=Fem\|Gender[psor]=Fem\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Animacy=Anim\|Case=Gen\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Tot`, `Case=Gen\|Gender=Fem\|Number=Sing\|Number[psor]=Plur\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Animacy=Anim\|Case=Gen\|Gender=Masc\|Number=Sing\|POS=PRON\|PronType=Int,Rel`, `Animacy=Inan\|Case=Gen\|Gender=Masc\|NumType=Mult\|Number=Sing\|POS=ADJ`, `Animacy=Inan\|Case=Gen\|Gender=Masc\|Gender[psor]=Fem\|Number=Plur\|Number[psor]=Sing\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Case=Loc\|Gender=Fem\|Number=Plur\|POS=DET\|PronType=Ind`, `Case=Acc\|Gender=Neut\|Number=Plur\|POS=DET\|Poss=Yes\|PronType=Prs\|Reflex=Yes`, `Animacy=Inan\|Case=Ins\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Dem`, `Animacy=Inan\|Case=Loc\|Gender=Masc\|Gender[psor]=Fem\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Animacy=Anim\|Case=Dat\|Gender=Masc\|Number=Plur\|POS=DET\|Poss=Yes\|PronType=Prs\|Reflex=Yes`, `Case=Loc\|Gender=Neut\|Number=Plur\|POS=DET\|PronType=Ind`, `Animacy=Inan\|Case=Ins\|Gender=Masc\|Number=Sing\|POS=NUM`, `Animacy=Anim\|Case=Acc\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Dem`, `Case=Nom\|Gender=Neut\|NumType=Ord\|Number=Sing\|POS=ADJ`, `Case=Dat\|Gender=Fem\|Number=Plur\|POS=DET\|PronType=Dem`, `Animacy=Anim\|Case=Acc\|Gender=Masc\|Gender[psor]=Fem\|Number=Plur\|Number[psor]=Sing\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Case=Loc\|Gender=Neut\|Number=Sing\|POS=PRON\|PronType=Neg`, `Case=Nom\|Gender=Neut\|Number=Sing\|POS=DET\|PronType=Ind`, `Case=Gen\|Gender=Neut\|Number=Plur\|Number[psor]=Plur\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Aspect=Imp\|Mood=Ind\|Number=Sing\|POS=AUX\|Person=1\|Polarity=Neg\|Tense=Pres\|VerbForm=Fin`, `Case=Acc\|Gender=Neut\|Number=Sing\|POS=DET\|Poss=Yes\|PronType=Prs\|Reflex=Yes`, `Case=Acc\|Gender=Neut\|Number=Plur\|POS=NUM`, `Aspect=Imp\|Gender=Fem\|Number=Plur\|POS=AUX\|Polarity=Neg\|Tense=Past\|VerbForm=Part`, `Aspect=Imp\|Mood=Ind\|Number=Sing\|POS=VERB\|Person=3\|Polarity=Neg\|Tense=Fut\|VerbForm=Fin`, `Case=Nom\|Gender=Neut\|Gender[psor]=Fem\|Number=Plur\|Number[psor]=Sing\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Animacy=Inan\|Case=Acc\|Gender=Masc\|Number=Plur\|Number[psor]=Plur\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Case=Gen\|Gender=Neut\|Number=Sing\|POS=DET\|Poss=Yes\|PronType=Prs\|Reflex=Yes`, `Animacy=Inan\|Case=Acc\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Int,Rel`, `Case=Ins\|Gender=Neut\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Case=Loc\|Gender=Fem\|NumType=Card\|Number=Plur\|POS=DET\|PronType=Ind`, `Case=Loc\|Gender=Fem\|Gender[psor]=Masc,Neut\|Number=Plur\|Number[psor]=Sing\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Case=Acc\|Gender=Neut\|Number=Sing\|POS=DET\|PronType=Emp`, `Animacy=Inan\|Case=Ins\|Gender=Masc\|Number=Sing\|POS=NOUN\|Typo=Yes`, `Animacy=Anim\|Case=Acc\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=ADJ\|Polarity=Pos\|VerbForm=Part\|Voice=Act`, `Animacy=Inan\|Case=Nom\|Gender=Masc\|Gender[psor]=Fem\|Number=Plur\|Number[psor]=Sing\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Aspect=Imp\|Mood=Ind\|Number=Plur\|POS=AUX\|Person=1\|Polarity=Neg\|Tense=Pres\|VerbForm=Fin`, `Animacy=Inan\|Case=Gen\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Ind`, `Case=Nom\|Degree=Cmp\|Gender=Fem\|Number=Sing\|POS=ADJ\|Polarity=Pos\|VerbForm=Part\|Voice=Act`, `Animacy=Inan\|Case=Loc\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Ind`, `Case=Loc\|Gender=Neut\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs`, `Case=Acc\|Gender=Fem\|Gender[psor]=Masc,Neut\|Number=Plur\|Number[psor]=Sing\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Aspect=Imp\|Mood=Ind\|Number=Plur\|POS=AUX\|Person=2\|Polarity=Pos\|Tense=Fut\|VerbForm=Fin`, `Aspect=Imp\|Mood=Ind\|Number=Plur\|POS=AUX\|Person=2\|Polarity=Neg\|Tense=Fut\|VerbForm=Fin`, `Animacy=Inan\|Case=Nom\|Gender=Masc\|NumType=Mult\|Number=Plur\|POS=ADJ`, `Animacy=Inan\|Case=Nom\|Gender=Masc\|NumType=Mult\|Number=Sing\|POS=ADV`, `Case=Dat\|Gender=Fem\|Number=Plur\|POS=PRON\|Person=3\|PronType=Prs`, `Case=Loc\|Degree=Cmp\|Gender=Fem\|Number=Sing\|POS=ADJ`, `Animacy=Inan\|Case=Gen\|Gender=Masc\|Number=Sing\|POS=NOUN\|Typo=Yes`, `Case=Loc\|Gender=Neut\|Number=Plur\|Number[psor]=Plur\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Case=Ins\|Gender=Fem\|Number=Sing\|Number[psor]=Plur\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Abbr=Yes\|Animacy=Anim\|Case=Nom\|Gender=Masc\|Number=Sing\|POS=PROPN`, `Animacy=Anim\|Case=Gen\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Dem`, `Animacy=Inan\|Aspect=Imp,Perf\|Gender=Masc\|Number=Sing\|POS=VERB\|Polarity=Neg\|Tense=Past\|VerbForm=Part`, `Aspect=Imp\|Mood=Ind\|Number=Plur\|POS=AUX\|Person=1\|Polarity=Neg\|Tense=Fut\|VerbForm=Fin`, `Case=Gen\|Degree=Pos\|Number=Plur\|POS=ADJ`, `Case=Nom\|Gender=Fem\|Number=Plur\|POS=PRON\|Person=3\|PronType=Prs`, `Animacy=Anim\|Case=Nom\|Gender=Masc\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=2\|Poss=Yes\|PronType=Prs`, `Animacy=Inan\|Case=Dat\|Gender=Masc\|NumType=Mult\|Number=Plur\|POS=ADJ`, `Case=Loc\|Gender=Fem\|NumType=Mult\|Number=Plur\|POS=ADJ`, `Case=Loc\|Gender=Fem\|Number=Sing\|Number[psor]=Plur\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Animacy=Inan\|Case=Dat\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Dem`, `Case=Acc\|Gender=Neut\|Number=Sing\|Number[psor]=Plur\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Case=Ins\|Gender=Neut\|Number=Plur\|POS=NUM`, `Animacy=Anim\|Case=Gen\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Dem`, `Case=Ins\|Gender=Fem\|NumType=Mult\|Number=Sing\|POS=ADJ`, `Animacy=Anim\|Case=Gen\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Tot`, `Animacy=Inan\|Case=Ins\|Gender=Masc\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=2\|Poss=Yes\|PronType=Prs`, `Case=Acc\|Number=Plur\|Number[psor]=Plur\|POS=DET\|Person=2\|Poss=Yes\|PronType=Prs`, `POS=X`, `Aspect=Perf\|Mood=Imp\|Number=Plur\|POS=VERB\|Person=1\|Polarity=Neg\|VerbForm=Fin`, `Animacy=Anim\|Case=Dat\|Gender=Masc\|Number=Plur\|POS=DET\|Poss=Yes\|PronType=Prs\|Reflex=Yes\|Typo=Yes`, `Case=Loc\|Gender=Fem\|Number=Sing\|Number[psor]=Plur\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Aspect=Imp\|Mood=Imp\|Number=Plur\|POS=VERB\|Person=1\|Polarity=Neg\|VerbForm=Fin`, `Case=Nom\|Gender=Fem\|Number=Sing\|POS=DET\|PronType=Tot`, `Animacy=Inan\|Case=Loc\|Gender=Masc\|Number=Sing\|Number[psor]=Plur\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Case=Loc\|Gender=Fem\|Number=Sing\|Number[psor]=Plur\|POS=DET\|Person=2\|Poss=Yes\|PronType=Prs`, `Animacy=Inan\|Case=Nom\|Gender=Masc\|Number=Plur\|POS=PROPN`, `Animacy=Inan\|Case=Gen\|Degree=Sup\|Gender=Masc\|Number=Plur\|POS=ADJ`, `Case=Gen\|Gender=Fem\|Number=Plur\|POS=PROPN`, `Case=Acc\|Gender=Fem\|Number=Plur\|Number[psor]=Plur\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Case=Acc\|Degree=Pos\|Gender=Fem\|Number=Plur\|POS=ADJ\|Polarity=Pos\|VerbForm=Part\|Voice=Act`, `Case=Nom\|Gender=Neut\|Number=Plur\|POS=DET\|PronType=Tot`, `Animacy=Inan\|Case=Dat\|Gender=Masc\|Number=Sing\|Number[psor]=Plur\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Case=Nom\|Gender=Neut\|Number=Plur\|Number[psor]=Sing\|POS=DET\|Person=2\|Poss=Yes\|PronType=Prs`, `Case=Loc\|Number=Plur\|POS=PRON\|Person=1\|PronType=Prs`, `Case=Ins\|Gender=Fem\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=2\|Poss=Yes\|PronType=Prs`, `Case=Gen\|Gender=Fem\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=2\|Poss=Yes\|PronType=Prs`, `Case=Loc\|Gender=Fem\|Number=Sing\|POS=DET\|PronType=Neg`, `Animacy=Inan\|Aspect=Imp\|Gender=Masc\|Number=Plur\|POS=AUX\|Polarity=Neg\|Tense=Past\|VerbForm=Part`, `Animacy=Inan\|Case=Ins\|Degree=Pos\|Gender=Masc\|Number=Plur\|POS=ADJ\|Polarity=Neg\|VerbForm=Part\|Voice=Pass`, `Animacy=Inan\|Aspect=Perf\|Gender=Masc\|Number=Plur\|POS=VERB\|Polarity=Neg\|Tense=Past\|VerbForm=Part`, `Case=Loc\|Gender=Fem\|Number=Plur\|POS=DET\|PronType=Tot`, `Animacy=Inan\|Case=Gen\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Ind`, `AdpType=Prep\|Case=Acc\|POS=ADP\|Typo=Yes`, `Animacy=Inan\|Case=Gen\|Degree=Cmp\|Gender=Masc\|Number=Plur\|POS=ADJ`, `Aspect=Perf\|Mood=Ind\|Number=Sing\|POS=VERB\|Person=3\|Polarity=Pos\|Tense=Fut\|VerbForm=Fin`, `Case=Acc\|Degree=Cmp\|Gender=Fem\|Number=Plur\|POS=ADJ`, `Case=Gen\|Degree=Pos\|Number=Plur\|POS=ADJ\|Polarity=Pos\|VerbForm=Part\|Voice=Act`, `Case=Ins\|Gender=Neut\|Number=Sing\|POS=NUM`, `Case=Gen\|Gender=Neut\|Gender[psor]=Fem\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Case=Gen\|Degree=Pos\|Gender=Neut\|Number=Plur\|POS=ADJ\|Polarity=Pos\|VerbForm=Part\|Voice=Act`, `Animacy=Anim\|Case=Gen\|Gender=Masc\|Gender[psor]=Masc,Neut\|Number=Plur\|Number[psor]=Sing\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Animacy=Anim\|Case=Ins\|Gender=Masc\|Number=Sing\|Number[psor]=Plur\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Case=Gen\|Gender=Fem\|Gender[psor]=Fem\|Number=Plur\|Number[psor]=Sing\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Animacy=Inan\|Case=Acc\|Gender=Masc\|NumType=Mult\|Number=Plur\|POS=ADJ`, `Case=Dat\|Gender=Fem\|Number=Sing\|POS=DET\|Poss=Yes\|PronType=Prs\|Reflex=Yes`, `Animacy=Anim\|Case=Ins\|Gender=Masc\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Animacy=Anim\|Case=Gen\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Ind`, `Animacy=Anim\|Case=Gen\|Gender=Masc\|Number=Plur\|Number[psor]=Sing\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Case=Nom\|Degree=Pos\|Gender=Fem\|Number=Sing\|POS=ADJ\|Polarity=Neg\|VerbForm=Part\|Voice=Pass`, `Case=Dat\|Gender=Neut\|Gender[psor]=Fem\|Number=Plur\|Number[psor]=Sing\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `AdpType=Voc\|Case=Acc\|POS=ADP`, `Animacy=Inan\|Case=Ins\|Gender=Masc\|Gender[psor]=Fem\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Case=Ins\|Gender=Fem\|Number=Plur\|POS=DET\|PronType=Dem`, `Animacy=Inan\|Case=Gen\|Gender=Masc\|Number=Plur\|Number[psor]=Sing\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Case=Nom\|Gender=Fem\|Number=Plur\|Number[psor]=Sing\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Case=Nom\|Gender=Neut\|Number=Plur\|Number[psor]=Plur\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Case=Dat\|Gender=Fem\|Number=Sing\|POS=DET\|PronType=Neg`, `Aspect=Imp,Perf\|Mood=Ind\|Number=Sing\|POS=VERB\|Person=2\|Polarity=Pos\|Tense=Pres\|VerbForm=Fin`, `Animacy=Inan\|Case=Loc\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Emp`, `Case=Gen\|Gender=Fem\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Case=Loc\|Gender=Neut\|Number=Sing\|POS=DET\|PronType=Int,Rel`, `Case=Ins\|Gender=Fem\|Number=Sing\|Number[psor]=Plur\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Case=Nom\|Gender=Neut\|NumType=Card\|Number=Sing\|POS=DET\|PronType=Dem`, `Case=Loc\|Gender=Neut\|Number=Plur\|Number[psor]=Sing\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Case=Loc\|Degree=Pos\|Gender=Fem\|Number=Plur\|POS=ADJ\|Polarity=Pos\|VerbForm=Part\|Voice=Act`, `Case=Acc\|Degree=Pos\|Gender=Fem\|Number=Plur\|POS=ADJ\|Polarity=Neg\|VerbForm=Part\|Voice=Pass`, `Case=Loc\|Gender=Neut\|Number=Plur\|POS=DET\|PronType=Tot`, `Case=Acc\|Gender=Neut\|Number=Plur\|Number[psor]=Plur\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Animacy=Inan\|Aspect=Imp\|Gender=Masc\|Number=Sing\|POS=AUX\|Polarity=Neg\|Tense=Past\|VerbForm=Part`, `Animacy=Anim\|Case=Acc\|Gender=Masc\|Number=Plur\|POS=DET\|Poss=Yes\|PronType=Prs\|Reflex=Yes`, `Animacy=Inan\|Case=Loc\|Degree=Pos\|Gender=Masc\|Number=Plur\|POS=ADJ\|Polarity=Pos\|VerbForm=Part\|Voice=Act`, `Case=Gen\|Number=Plur\|POS=PRON\|Person=3\|PronType=Prs`, `Animacy=Inan\|Case=Nom\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Neg`, `Case=Nom\|Gender=Fem\|NumType=Ord\|Number=Plur\|POS=ADJ`, `Case=Nom\|Gender=Fem\|Number=Sing\|Number[psor]=Plur\|POS=DET\|Person=2\|Poss=Yes\|PronType=Prs`, `Case=Gen\|Gender=Neut\|Number=Sing\|POS=PRON\|PronType=Ind`, `Animacy=Inan\|Case=Loc\|Degree=Pos\|Gender=Masc\|Number=Plur\|POS=ADJ\|Polarity=Pos\|VerbForm=Part\|Voice=Pass`, `Case=Nom\|Number=Plur\|POS=NUM`, `Animacy=Inan\|Case=Dat\|Gender=Masc\|Number=Plur\|POS=PRON\|Person=3\|PronType=Prs`, `Case=Gen\|Gender=Neut\|Number=Plur\|Number[psor]=Sing\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Case=Loc\|Gender=Neut\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Animacy=Inan\|Case=Loc\|Gender=Masc\|Number=Plur\|Number[psor]=Sing\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Aspect=Perf\|Mood=Ind\|Number=Sing\|POS=VERB\|Person=2\|Polarity=Neg\|Tense=Pres\|VerbForm=Fin`, `Animacy=Anim\|Case=Dat\|Gender=Masc\|Number=Sing\|POS=PRON\|PronType=Ind`, `Animacy=Anim\|Case=Dat\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Ind`, `Case=Gen\|Gender=Neut\|Number=Plur\|POS=DET\|PronType=Ind`, `Case=Acc\|Gender=Neut\|NumType=Mult\|Number=Plur\|POS=ADJ`, `Case=Loc\|Gender=Neut\|Number=Sing\|POS=NUM`, `Animacy=Inan\|Case=Gen\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Tot`, `Animacy=Inan\|Case=Loc\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Int,Rel`, `Animacy=Inan\|Case=Nom\|Gender=Masc\|Number=Plur\|Number[psor]=Sing\|POS=DET\|Person=2\|Poss=Yes\|PronType=Prs`, `Animacy=Inan\|Case=Acc\|Gender=Masc\|Number=Plur\|Number[psor]=Sing\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Animacy=Anim\|Case=Gen\|Gender=Masc\|NumType=Mult\|Number=Sing\|POS=ADJ`, `Animacy=Anim\|Case=Dat\|Gender=Masc\|Number=Sing\|POS=NUM`, `Animacy=Anim\|Case=Dat\|Gender=Masc\|NumType=Ord\|Number=Sing\|POS=ADJ`, `AdpType=Preppron\|Animacy=Inan\|Case=Gen\|Gender=Masc\|Number=Sing\|POS=PRON\|PronType=Prs`, `Aspect=Imp\|Mood=Ind\|Number=Plur\|POS=VERB\|Person=1\|Polarity=Pos\|Tense=Fut\|VerbForm=Fin`, `Aspect=Imp\|Gender=Neut\|Number=Plur\|POS=VERB\|Polarity=Neg\|Tense=Past\|VerbForm=Part`, `Case=Nom\|Gender=Neut\|Number=Plur\|Number[psor]=Sing\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Animacy=Anim\|Case=Ins\|Gender=Masc\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=2\|Poss=Yes\|PronType=Prs`, `Case=Nom\|Gender=Neut\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs`, `Case=Dat\|Gender=Fem\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Animacy=Inan\|Case=Dat\|Gender=Masc\|Number=Sing\|POS=DET\|Poss=Yes\|PronType=Prs\|Reflex=Yes`, `Animacy=Anim\|Case=Acc\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Dem`, `Case=Loc\|Gender=Fem\|Gender[psor]=Fem\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Case=Acc\|Degree=Pos\|Gender=Fem\|Number=Sing\|POS=ADJ\|Polarity=Neg\|VerbForm=Part\|Voice=Pass`, `Animacy=Anim\|Case=Acc\|Gender=Masc\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Animacy=Anim\|Case=Dat\|Gender=Masc\|Gender[psor]=Fem\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Animacy=Inan\|Case=Dat\|Gender=Masc\|Gender[psor]=Fem\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Aspect=Imp,Perf\|Gender=Fem\|Number=Plur\|POS=VERB\|Polarity=Pos\|Tense=Past\|VerbForm=Part`, `Animacy=Anim\|Case=Acc\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=ADJ\|Polarity=Pos\|VerbForm=Part\|Voice=Pass`, `Animacy=Inan\|Case=Acc\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Neg`, `Animacy=Anim\|Case=Acc\|Gender=Masc\|Number=Sing\|POS=NUM`, `Case=Nom\|Gender=Fem\|Number=Plur\|Number[psor]=Sing\|POS=DET\|Person=2\|Poss=Yes\|PronType=Prs`, `Aspect=Imp\|POS=VERB\|Polarity=Neg\|VerbForm=Conv`, `Case=Dat\|Gender=Neut\|Number=Sing\|POS=PRON\|PronType=Neg`, `Case=Acc\|Gender=Neut\|Number=Sing\|POS=DET\|PronType=Neg`, `Case=Acc\|Gender=Neut\|Number=Plur\|Number[psor]=Sing\|POS=DET\|Person=2\|Poss=Yes\|PronType=Prs`, `Case=Acc\|Gender=Fem\|Number=Plur\|Number[psor]=Plur\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Animacy=Anim\|Case=Acc\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Int,Rel`, `Aspect=Imp\|Mood=Ind\|Number=Sing\|POS=VERB\|Person=2\|Polarity=Neg\|Tense=Fut\|VerbForm=Fin`, `Case=Acc\|Gender=Neut\|Gender[psor]=Fem\|Number=Plur\|Number[psor]=Sing\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Aspect=Perf\|Mood=Ind\|Number=Sing\|POS=VERB\|Person=2\|Polarity=Neg\|Tense=Fut\|VerbForm=Fin`, `Case=Gen\|Gender=Neut\|Gender[psor]=Fem\|Number=Plur\|Number[psor]=Sing\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Animacy=Inan\|Case=Acc\|Gender=Masc\|Number=Plur\|POS=PRON\|PronType=Tot`, `Animacy=Anim\|Case=Gen\|Gender=Masc\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=2\|Poss=Yes\|PronType=Prs`, `Case=Loc\|Gender=Neut\|NumType=Mult\|Number=Sing\|POS=ADJ`, `Case=Gen\|Gender=Fem\|Number=Plur\|Number[psor]=Plur\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Animacy=Inan\|Case=Loc\|Gender=Masc\|NumType=Mult\|Number=Plur\|POS=ADJ`, `Case=Nom\|Degree=Pos\|Gender=Neut\|Number=Sing\|POS=ADJ\|Polarity=Neg\|VerbForm=Part\|Voice=Pass`, `Animacy=Anim\|Case=Dat\|Gender=Masc\|Number=Sing\|POS=PRON\|PronType=Neg`, `Animacy=Inan\|Case=Ins\|Gender=Masc\|Number=Sing\|Number[psor]=Plur\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Case=Gen\|Gender=Neut\|Number=Plur\|Number[psor]=Plur\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Case=Ins\|Gender=Fem\|Number=Plur\|POS=DET\|PronType=Int,Rel`, `Case=Ins\|Gender=Fem\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Aspect=Imp\|Mood=Ind\|Number=Plur\|POS=VERB\|Person=3\|Polarity=Pos\|Tense=Fut\|VerbForm=Fin`, `Animacy=Anim\|Case=Dat\|Gender=Masc\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Case=Dat\|Gender=Neut\|Number=Sing\|POS=DET\|PronType=Tot`, `Animacy=Anim\|Case=Dat\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Dem`, `Case=Acc\|Gender=Neut\|NumType=Mult\|Number=Sing\|POS=ADJ`, `Animacy=Anim\|Case=Ins\|Gender=Masc\|NumType=Mult\|Number=Sing\|POS=ADJ`, `Animacy=Anim\|Case=Acc\|Gender=Masc\|Number=Sing\|POS=PRON\|PronType=Int,Rel`, `Animacy=Anim\|Case=Dat\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Dem`, `Animacy=Anim\|Case=Ins\|Gender=Masc\|Gender[psor]=Fem\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Animacy=Anim\|Case=Nom\|Gender=Masc\|Number=Sing\|Number[psor]=Plur\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Case=Ins\|Gender=Fem\|Number=Plur\|Number[psor]=Sing\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Case=Ins\|Gender=Fem\|NumType=Card\|Number=Plur\|POS=DET\|PronType=Ind`, `Case=Ins\|Gender=Neut\|Number=Sing\|Number[psor]=Plur\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Animacy=Inan\|Case=Gen\|Gender=Masc\|Number=Sing\|Number[psor]=Plur\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Aspect=Perf\|Number=Sing\|POS=VERB\|Polarity=Pos\|Tense=Past\|VerbForm=Part`, `Animacy=Anim\|Case=Dat\|Gender=Masc\|Number=Sing\|POS=DET\|Poss=Yes\|PronType=Prs\|Reflex=Yes`, `Case=Ins\|Gender=Neut\|NumType=Mult\|Number=Sing\|POS=ADJ`, `Animacy=Anim\|Case=Nom\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=ADJ\|Polarity=Neg\|VerbForm=Part\|Voice=Pass`, `Animacy=Anim\|Case=Gen\|Gender=Masc\|Number=Plur\|POS=DET\|Poss=Yes\|PronType=Prs\|Reflex=Yes`, `POS=ADV`, `Aspect=Imp\|Number=Sing\|POS=VERB\|Polarity=Pos\|Tense=Past\|VerbForm=Part`, `Aspect=Imp\|Number=Sing\|POS=VERB\|Polarity=Neg\|Tense=Past\|VerbForm=Part`, `Case=Dat\|Degree=Pos\|Gender=Neut\|Number=Plur\|POS=ADJ`, `POS=PART\|Typo=Yes`, `Animacy=Anim\|Case=Ins\|Gender=Masc\|Number=Sing\|POS=DET\|Poss=Yes\|PronType=Prs\|Reflex=Yes`, `Aspect=Imp\|Mood=Ind\|Number=Plur\|POS=VERB\|Person=1\|Polarity=Neg\|Tense=Fut\|VerbForm=Fin`, `Case=Ins\|Gender=Fem\|Number=Plur\|POS=PRON\|Person=3\|PronType=Prs`, `Aspect=Imp\|Mood=Ind\|Number=Plur\|POS=AUX\|Person=3\|Polarity=Neg\|Tense=Fut\|VerbForm=Fin`, `Case=Acc\|Gender=Fem\|Number=Plur\|POS=ADJ`, `Case=Acc\|Gender=Fem\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=2\|Poss=Yes\|PronType=Prs`, `Case=Acc\|Gender=Neut\|Number=Sing\|POS=PRON\|PronType=Tot`, `Case=Nom\|Gender=Fem\|Number=Plur\|POS=NOUN\|Typo=Yes`, `Case=Gen\|Gender=Fem\|Number=Plur\|POS=PRON\|PronType=Tot`, `Animacy=Anim\|Case=Nom\|Gender=Masc\|Number=Plur\|POS=ADJ`, `Case=Nom\|Gender=Neut\|Number=Plur\|POS=PRON\|PronType=Tot`, `Animacy=Anim\|Case=Gen\|Degree=Sup\|Gender=Masc\|Number=Plur\|POS=ADJ`, `Animacy=Inan\|Case=Dat\|Degree=Sup\|Gender=Masc\|Number=Sing\|POS=ADJ`, `NumType=Mult\|POS=ADV\|PronType=Int,Rel`, `Animacy=Anim\|Case=Ins\|Gender=Masc\|Number=Plur\|Number[psor]=Sing\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Aspect=Imp\|Mood=Imp\|Number=Sing\|POS=AUX\|Person=2\|Polarity=Neg\|VerbForm=Fin`, `Animacy=Anim\|Case=Nom\|Gender=Masc\|Number=Plur\|POS=PRON\|PronType=Tot`, `Animacy=Anim\|Case=Nom\|Gender=Masc\|Number=Sing\|POS=ADJ`, `Animacy=Anim\|Case=Loc\|Gender=Masc\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=2\|Poss=Yes\|PronType=Prs`, `Animacy=Anim\|Case=Nom\|Degree=Sup\|Gender=Masc\|Number=Plur\|POS=ADJ`, `Case=Nom\|Gender=Neut\|Number=Sing\|POS=PRON\|PronType=Tot`, `Aspect=Perf\|Mood=Ind\|Number=Plur\|POS=VERB\|Person=2\|Polarity=Neg\|Tense=Pres\|Typo=Yes\|VerbForm=Fin`, `Case=Dat\|Gender=Neut\|Number=Sing\|POS=PRON\|PronType=Tot`, `Case=Ins\|Number=Plur\|POS=PRON\|Person=2\|PronType=Prs`, `Aspect=Imp\|Number=Plur\|POS=VERB\|Polarity=Neg\|Tense=Past\|Typo=Yes\|VerbForm=Part`, `Animacy=Anim\|Aspect=Perf\|Gender=Masc\|Number=Plur\|POS=VERB\|Polarity=Pos\|Tense=Past\|Typo=Yes\|VerbForm=Part`, `Case=Gen\|Gender=Neut\|NumType=Card\|Number=Plur\|POS=DET\|PronType=Ind`, `Case=Nom\|Gender=Neut\|Number=Sing\|POS=DET\|PronType=Int,Rel\|Typo=Yes`, `Case=Gen\|Gender=Fem\|Number=Sing\|POS=DET\|PronType=Emp`, `Animacy=Anim\|Case=Acc\|Degree=Pos\|Gender=Masc\|Number=Plur\|POS=ADJ\|Polarity=Pos\|VerbForm=Part\|Voice=Pass`, `Case=Gen\|Degree=Pos\|Gender=Neut\|Number=Sing\|POS=ADJ\|Polarity=Pos\|VerbForm=Part\|Voice=Act`, `Animacy=Anim\|Case=Loc\|Gender=Masc\|Number=Sing\|POS=PRON\|PronType=Int,Rel`, `Aspect=Imp\|Mood=Imp\|Number=Plur\|POS=VERB\|Person=3\|Polarity=Neg\|VerbForm=Fin`, `Animacy=Inan\|Case=Loc\|Gender=Masc\|Number=Plur\|Number[psor]=Plur\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Case=Gen\|Gender=Fem\|NumType=Mult\|Number=Sing\|POS=ADJ`, `Animacy=Anim\|Case=Acc\|Degree=Sup\|Gender=Masc\|Number=Sing\|POS=ADJ`, `Animacy=Anim\|Case=Dat\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Int,Rel`, `Case=Dat\|Gender=Fem\|Number=Sing\|POS=DET\|PronType=Tot`, `Animacy=Anim\|Case=Loc\|Gender=Masc\|Number=Sing\|POS=NUM`, `Case=Acc\|Gender=Neut\|Number=Plur\|POS=DET\|PronType=Int,Rel`, `Animacy=Anim\|Case=Acc\|Degree=Cmp\|Gender=Masc\|Number=Sing\|POS=ADJ`, `Aspect=Imp\|Mood=Ind\|Number=Sing\|POS=VERB\|Person=2\|Polarity=Pos\|Tense=Fut\|VerbForm=Fin`, `Case=Acc\|Gender=Fem\|Number=Sing\|POS=PRON\|PronType=Tot`, `Animacy=Inan\|Case=Nom\|Gender=Masc\|Number=Plur\|POS=PRON\|PronType=Tot`, `Case=Nom\|Gender=Neut\|Number=Sing\|POS=PRON\|Person=1\|PronType=Prs`, `Case=Dat\|Gender=Neut\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Aspect=Imp\|Mood=Imp\|Number=Plur\|POS=AUX\|Person=1\|Polarity=Pos\|VerbForm=Fin`, `Animacy=Anim\|Case=Ins\|Gender=Masc\|Number=Sing\|POS=PRON\|PronType=Int,Rel`, `Animacy=Inan\|Case=Acc\|Gender=Masc\|Number=Sing\|POS=NOUN\|Typo=Yes`, `Animacy=Inan\|Case=Nom\|Gender=Masc\|Number=Sing\|POS=NOUN\|Typo=Yes`, `NumType=Card\|POS=DET\|PronType=Dem`, `Aspect=Imp,Perf\|Mood=Ind\|Number=Plur\|POS=VERB\|Person=2\|Polarity=Neg\|Tense=Pres\|VerbForm=Fin`, `AdpType=Preppron\|Case=Gen\|Gender=Neut\|Number=Sing\|POS=PRON\|PronType=Prs`, `Case=Dat\|Gender=Neut\|NumType=Mult\|Number=Sing\|POS=ADJ`, `Animacy=Inan\|Case=Ins\|Gender=Masc\|Number=Sing\|POS=ADJ`, `Case=Ins\|Gender=Neut\|Number=Plur\|POS=DET\|PronType=Dem`, `Animacy=Inan\|Case=Acc\|Gender=Masc\|NumType=Mult\|Number=Plur\|POS=ADV`, `Animacy=Inan\|Case=Gen\|Gender=Masc\|Number=Sing\|POS=ADJ`, `Aspect=Perf\|Gender=Neut\|Number=Sing\|POS=VERB\|Polarity=Pos\|Tense=Past\|Typo=Yes\|VerbForm=Part`, `Animacy=Anim\|Case=Nom\|Gender=Masc\|Gender[psor]=Fem\|Number=Plur\|Number[psor]=Sing\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Animacy=Anim\|Case=Nom\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=ADJ\|Typo=Yes`, `Animacy=Anim\|Aspect=Imp\|Gender=Masc\|Number=Sing\|POS=VERB\|Polarity=Neg\|Tense=Past\|Typo=Yes\|VerbForm=Part`, `Case=Nom\|Gender=Neut\|NumType=Ord\|Number=Plur\|POS=ADJ`, `Aspect=Perf\|Number=Plur\|POS=VERB\|Polarity=Pos\|Tense=Past\|Typo=Yes\|VerbForm=Part`, `Animacy=Anim\|Case=Ins\|Gender=Masc\|Number=Sing\|Number[psor]=Plur\|POS=DET\|Person=2\|Poss=Yes\|PronType=Prs`, `Animacy=Anim\|Case=Nom\|Gender=Masc\|NumType=Ord\|Number=Plur\|POS=ADJ`, `Aspect=Perf\|Gender=Fem\|Number=Plur\|POS=VERB\|Polarity=Pos\|Tense=Past\|Typo=Yes\|VerbForm=Part`, `Animacy=Anim\|Aspect=Imp\|Gender=Masc\|Number=Plur\|POS=AUX\|Polarity=Neg\|Tense=Past\|VerbForm=Part`, `Animacy=Anim\|Case=Nom\|Gender=Masc\|NumType=Mult\|Number=Plur\|POS=ADJ`, `Case=Acc\|Degree=Pos\|Gender=Neut\|Number=Sing\|POS=ADJ\|Typo=Yes`, `Animacy=Inan\|Case=Nom\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Int,Rel\|Typo=Yes`, `Animacy=Inan\|Aspect=Imp\|Gender=Masc\|Number=Plur\|POS=VERB\|Polarity=Pos\|Tense=Past\|Typo=Yes\|VerbForm=Part`, `Animacy=Anim\|Case=Dat\|Gender=Masc\|NumType=Mult\|Number=Plur\|POS=ADJ`, `Case=Loc\|Gender=Neut\|Number=Plur\|POS=PRON\|Person=3\|PronType=Prs`, `Case=Ins\|Gender=Fem\|Number=Plur\|POS=NOUN\|Typo=Yes`, `Animacy=Anim\|Case=Nom\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Int,Rel\|Typo=Yes`, `Case=Nom\|Gender=Fem\|Number=Sing\|POS=PRON\|PronType=Int,Rel`, `Case=Nom\|Degree=Pos\|Gender=Fem\|Number=Plur\|POS=ADJ\|Typo=Yes`, `Aspect=Imp,Perf\|Mood=Ind\|Number=Plur\|POS=VERB\|Person=2\|Polarity=Pos\|Tense=Pres\|VerbForm=Fin`, `Case=Acc\|Gender=Fem\|Number=Sing\|POS=PRON\|PronType=Prs`, `Aspect=Imp\|Mood=Ind\|Number=Sing\|POS=AUX\|Person=2\|Polarity=Neg\|Tense=Fut\|VerbForm=Fin`, `Case=Gen\|Degree=Pos\|Gender=Neut\|Number=Sing\|POS=ADJ\|Polarity=Neg\|VerbForm=Part\|Voice=Act`, `Case=Nom\|Gender=Fem\|Number=Sing\|POS=ADJ`, `Case=Nom\|Gender=Neut\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=2\|Poss=Yes\|PronType=Prs`, `Animacy=Anim\|Case=Ins\|Gender=Masc\|Number=Sing\|POS=NUM`, `Case=Dat\|Gender=Neut\|Gender[psor]=Fem\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Case=Dat\|Gender=Neut\|Number=Sing\|Number[psor]=Plur\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Aspect=Imp\|POS=VERB\|Polarity=Pos`, `Animacy=Inan\|Case=Ins\|Gender=Masc\|Number=Sing\|POS=PROPN`, `Animacy=Anim\|Case=Dat\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Ind` |
| **`parser`** | `ROOT`, `acl`, `advcl`, `advmod`, `advmod:emph`, `amod`, `appos`, `aux`, `aux:pass`, `case`, `cc`, `ccomp`, `compound`, `conj`, `cop`, `csubj`, `csubj:pass`, `dep`, `det`, `det:numgov`, `discourse`, `expl:pass`, `expl:pv`, `fixed`, `flat`, `flat:foreign`, `iobj`, `mark`, `nmod`, `nsubj`, `nsubj:pass`, `nummod`, `obj`, `obl`, `obl:arg`, `orphan`, `parataxis`, `punct`, `vocative`, `xcomp` |
| **`experimental_edit_tree_lemmatizer`** | `1`, `2`, `4`, `6`, `8`, `10`, `11`, `13`, `14`, `16`, `17`, `19`, `20`, `23`, `25`, `27`, `29`, `32`, `34`, `36`, `40`, `42`, `44`, `46`, `48`, `50`, `52`, `54`, `55`, `57`, `59`, `61`, `64`, `66`, `67`, `71`, `73`, `74`, `75`, `77`, `79`, `81`, `83`, `86`, `87`, `89`, `91`, `95`, `97`, `99`, `102`, `12`, `104`, `106`, `108`, `110`, `112`, `114`, `116`, `117`, `119`, `121`, `123`, `125`, `127`, `129`, `131`, `133`, `136`, `138`, `141`, `143`, `146`, `150`, `151`, `153`, `156`, `157`, `159`, `160`, `162`, `163`, `165`, `167`, `168`, `170`, `173`, `174`, `176`, `178`, `180`, `181`, `182`, `183`, `185`, `187`, `190`, `191`, `193`, `195`, `28`, `198`, `200`, `202`, `204`, `206`, `209`, `210`, `212`, `213`, `216`, `219`, `220`, `222`, `223`, `225`, `228`, `230`, `232`, `235`, `237`, `238`, `240`, `241`, `242`, `243`, `244`, `247`, `249`, `251`, `252`, `255`, `257`, `258`, `260`, `262`, `264`, `266`, `267`, `269`, `270`, `271`, `272`, `62`, `274`, `275`, `277`, `278`, `279`, `280`, `281`, `282`, `284`, `286`, `287`, `31`, `289`, `290`, `291`, `293`, `294`, `295`, `297`, `299`, `300`, `301`, `303`, `304`, `305`, `306`, `307`, `308`, `309`, `310`, `312`, `313`, `314`, `315`, `318`, `319`, `321`, `323`, `324`, `326`, `328`, `330`, `331`, `333`, `334`, `335`, `336`, `337`, `338`, `339`, `341`, `343`, `345`, `346`, `348`, `349`, `350`, `351`, `352`, `353`, `354`, `357`, `359`, `360`, `361`, `362`, `364`, `366`, `368`, `369`, `370`, `372`, `373`, `374`, `375`, `376`, `377`, `378`, `379`, `380`, `381`, `382`, `384`, `385`, `386`, `387`, `388`, `389`, `391`, `394`, `397`, `398`, `399`, `401`, `402`, `403`, `404`, `405`, `406`, `407`, `408`, `409`, `410`, `412`, `413`, `415`, `417`, `418`, `420`, `422`, `423`, `424`, `427`, `428`, `430`, `432`, `433`, `434`, `435`, `436`, `439`, `440`, `441`, `442`, `443`, `444`, `445`, `447`, `449`, `452`, `454`, `456`, `457`, `458`, `459`, `460`, `461`, `462`, `464`, `465`, `466`, `468`, `469`, `471`, `473`, `474`, `476`, `478`, `480`, `481`, `482`, `483`, `486`, `488`, `489`, `490`, `491`, `492`, `493`, `495`, `496`, `497`, `256`, `498`, `499`, `500`, `501`, `502`, `503`, `504`, `505`, `506`, `507`, `508`, `509`, `510`, `512`, `513`, `514`, `515`, `516`, `517`, `518`, `519`, `520`, `521`, `522`, `523`, `524`, `525`, `0`, `526`, `528`, `529`, `530`, `533`, `534`, `536`, `537`, `538`, `539`, `540`, `541`, `542`, `543`, `544`, `545`, `547`, `548`, `549`, `550`, `552`, `553`, `554`, `555`, `557`, `558`, `559`, `561`, `563`, `564`, `565`, `566`, `567`, `568`, `569`, `570`, `571`, `572`, `573`, `574`, `575`, `576`, `577`, `578`, `579`, `580`, `581`, `583`, `584`, `586`, `587`, `588`, `589`, `590`, `591`, `592`, `594`, `596`, `597`, `599`, `601`, `603`, `605`, `607`, `609`, `612`, `614`, `616`, `618`, `619`, `41`, `621`, `623`, `625`, `626`, `627`, `628`, `630`, `633`, `634`, `636`, `640`, `641`, `643`, `644`, `646`, `647`, `649`, `651`, `653`, `655`, `657`, `659`, `661`, `663`, `665`, `666`, `667`, `669`, `671`, `672`, `673`, `674`, `675`, `677`, `679`, `680`, `681`, `684`, `685`, `686`, `687`, `688`, `690`, `691`, `692`, `694`, `695`, `696`, `697`, `698`, `700`, `703`, `705`, `707`, `708`, `710`, `711`, `712`, `713`, `714`, `113`, `716`, `717`, `719`, `84`, `721`, `723`, `724`, `726`, `727`, `728`, `729`, `730`, `732`, `734`, `735`, `737`, `740`, `742`, `744`, `747`, `748`, `750`, `751`, `753`, `755`, `757`, `760`, `764`, `47`, `765`, `766`, `768`, `769`, `771`, `772`, `773`, `774`, `777`, `234`, `779`, `781`, `782`, `783`, `785`, `786`, `788`, `790`, `792`, `793`, `794`, `797`, `798`, `800`, `802`, `804`, `805`, `806`, `807`, `809`, `810`, `812`, `815`, `816`, `817`, `818`, `820`, `821`, `822`, `824`, `825`, `826`, `827`, `828`, `830`, `832`, `834`, `835`, `836`, `837`, `838`, `839`, `840`, `842`, `844`, `846`, `848`, `850`, `852`, `855`, `857`, `859`, `861`, `862`, `863`, `864`, `865`, `866`, `867`, `98`, `868`, `869`, `870`, `873`, `263`, `874`, `875`, `876`, `877`, `878`, `879`, `881`, `882`, `884`, `885`, `887`, `888`, `889`, `891`, `892`, `896`, `897`, `898`, `899`, `900`, `901`, `902`, `903`, `904`, `905`, `906`, `907`, `908`, `909`, `910`, `911`, `913`, `914`, `915`, `917`, `919`, `920`, `921`, `922`, `923`, `926`, `927`, `928`, `929`, `931`, `932`, `934`, `936`, `939`, `941`, `943`, `945`, `946`, `947`, `949`, `951`, `952`, `953`, `955`, `958`, `959`, `960`, `961`, `962`, `964`, `965`, `967`, `968`, `969`, `971`, `973`, `975`, `976`, `977`, `978`, `980`, `982`, `983`, `984`, `985`, `986`, `987`, `989`, `992`, `993`, `996`, `998`, `999`, `1000`, `1001`, `1003`, `1004`, `1005`, `1006`, `1007`, `1008`, `1009`, `1010`, `1011`, `1012`, `1013`, `1015`, `1017`, `1019`, `1021`, `1022`, `1023`, `1024`, `1025`, `1027`, `1028`, `1030`, `1031`, `1035`, `1037`, `1038`, `1039`, `1042`, `1043`, `1045`, `1046`, `1047`, `1049`, `1051`, `1052`, `1054`, `1056`, `1057`, `1058`, `1060`, `1061`, `1062`, `1064`, `1065`, `1066`, `1067`, `1068`, `1069`, `1071`, `1073`, `1074`, `1076`, `1078`, `1079`, `1080`, `1081`, `1082`, `1083`, `1086`, `1088`, `1090`, `1091`, `1092`, `1094`, `1095`, `1096`, `1099`, `1100`, `1101`, `1102`, `1103`, `1104`, `1106`, `1107`, `1108`, `1109`, `1110`, `1112`, `1114`, `1116`, `1118`, `1119`, `1121`, `1122`, `1124`, `1125`, `1126`, `1127`, `107`, `1128`, `1129`, `1130`, `1132`, `1133`, `1136`, `1137`, `1139`, `1141`, `1143`, `1145`, `1146`, `1147`, `1148`, `1150`, `1151`, `1153`, `1155`, `1156`, `1157`, `1160`, `1161`, `1162`, `1163`, `1164`, `1167`, `1169`, `1170`, `1171`, `1172`, `1173`, `1174`, `1175`, `1176`, `1177`, `1178`, `1180`, `1181`, `1182`, `1183`, `1184`, `1186`, `1188`, `1189`, `1191`, `1193`, `1194`, `1195`, `1196`, `1198`, `1201`, `1203`, `1204`, `1205`, `7`, `80`, `1207`, `1209`, `1210`, `1212`, `1213`, `1215`, `1216`, `1217`, `1218`, `1219`, `1220`, `1221`, `1223`, `1225`, `1226`, `1228`, `1229`, `1232`, `1234`, `1236`, `1238`, `1239`, `1240`, `1241`, `1242`, `1243`, `1244`, `1246`, `1248`, `1250`, `1252`, `1254`, `1256`, `1257`, `1259`, `1260`, `1263`, `1265`, `1266`, `1267`, `1269`, `1272`, `1274`, `1275`, `1276`, `1277`, `1279`, `1281`, `1284`, `1285`, `1288`, `1289`, `1290`, `1291`, `1292`, `1293`, `1294`, `1295`, `1297`, `1298`, `1299`, `1301`, `1302`, `1303`, `1305`, `1307`, `1308`, `1309`, `1310`, `1311`, `1312`, `1314`, `1315`, `1316`, `1317`, `1318`, `1320`, `1322`, `1323`, `1325`, `1326`, `1328`, `1329`, `1331`, `194`, `1333`, `1335`, `1337`, `1339`, `1341`, `1342`, `1343`, `1344`, `1345`, `1347`, `1348`, `1350`, `1351`, `1353`, `1354`, `1356`, `1358`, `1359`, `1360`, `1361`, `1363`, `1364`, `1365`, `1366`, `1368`, `1370`, `1372`, `1374`, `1375`, `1377`, `1378`, `1380`, `1382`, `1383`, `1384`, `1385`, `1386`, `1387`, `1388`, `1392`, `1395`, `1397`, `1398`, `1400`, `1401`, `1402`, `1403`, `1404`, `1405`, `1406`, `1408`, `1410`, `1412`, `1413`, `1414`, `1235`, `1415`, `1417`, `1418`, `1419`, `1420`, `1421`, `1422`, `1423`, `1425`, `1426`, `1427`, `1428`, `1283`, `1430`, `1431`, `1432`, `1434`, `1435`, `1437`, `1439`, `1440`, `1442`, `1443`, `1444`, `1446`, `1447`, `1448`, `1449`, `1450`, `1452`, `1453`, `1454`, `1457`, `1458`, `1459`, `1461`, `1462`, `1464`, `1465`, `1466`, `1467`, `1469`, `1470`, `1471`, `1472`, `1473`, `1474`, `1475`, `1477`, `1478`, `1479`, `1480`, `1481`, `1483`, `1485`, `1487`, `1488`, `1489`, `1491`, `1493`, `1494`, `1496`, `1498`, `1500`, `1501`, `1503`, `1504`, `1271`, `1505`, `1506`, `1507`, `1508`, `1509`, `1511`, `1512`, `1513`, `1516`, `1517`, `1518`, `1519`, `1521`, `1522`, `1523`, `1526`, `1528`, `1530`, `1531`, `1532`, `1534`, `1535`, `1536`, `1537`, `1538`, `1539`, `1540`, `1542`, `966`, `1544`, `1545`, `1546`, `1547`, `1549`, `1551`, `1552`, `1553`, `1554`, `1555`, `1556`, `1557`, `1558`, `1559`, `950`, `1561`, `1562`, `1563`, `1564`, `1565`, `1567`, `1568`, `1569`, `1570`, `1571`, `1572`, `1574`, `1575`, `1577`, `1578`, `1580`, `1582`, `1584`, `1587`, `1590`, `1592`, `1593`, `1596`, `1598`, `1599`, `1600`, `1601`, `1602`, `1603`, `1604`, `1606`, `1607`, `1609`, `1610`, `1611`, `1612`, `1613`, `1615`, `1616`, `1618`, `1619`, `1620`, `1622`, `1624`, `1626`, `1628`, `1629`, `1631`, `1632`, `1633`, `1634`, `1635`, `1636`, `1637`, `1639`, `1640`, `1642`, `1646`, `1647`, `1648`, `1650`, `1651`, `1653`, `1654`, `1655`, `1656`, `1658`, `1660`, `1662`, `1664`, `1665`, `1666`, `1669`, `1671`, `1672`, `1673`, `1674`, `1676`, `1677`, `1678`, `1679`, `1680`, `1681`, `1683`, `1685`, `1686`, `1687`, `1688`, `1689`, `1690`, `1691`, `1692`, `1694`, `1695`, `1696`, `1700`, `1702`, `1703`, `1705`, `1706`, `1709`, `1710`, `1711`, `1712`, `1713`, `1714`, `1715`, `1716`, `1717`, `1721`, `1723`, `1725`, `1726`, `1727`, `1728`, `1729`, `1730`, `1731`, `1732`, `1733`, `1734`, `1736`, `1737`, `1738`, `1739`, `1741`, `1742`, `1745`, `1746`, `1747`, `1749`, `1751`, `1752`, `1753`, `1754`, `1755`, `1756`, `1758`, `1759`, `1760`, `1761`, `1763`, `1766`, `1767`, `1768`, `1770`, `1771`, `1772`, `1773`, `1774`, `1775`, `1777`, `1778`, `1779`, `1780`, `1781`, `1783`, `1785`, `1787`, `1789`, `1792`, `1793`, `1795`, `1797`, `1798`, `1799`, `1801`, `1802`, `1804`, `1805`, `1806`, `1807`, `1808`, `1809`, `1811`, `1813`, `1815`, `1816`, `1818`, `1819`, `1820`, `1822`, `1824`, `1826`, `1828`, `1829`, `1831`, `1832`, `1833`, `1835`, `1837`, `1839`, `1841`, `1842`, `1843`, `1844`, `1845`, `1846`, `1847`, `1848`, `1849`, `1850`, `1851`, `1852`, `1853`, `1855`, `1856`, `1857`, `1858`, `1859`, `1860`, `1862`, `1863`, `1864`, `1865`, `1866`, `1868`, `1869`, `1871`, `1873`, `1874`, `1876`, `1877`, `1878`, `1880`, `1882`, `1884`, `1885`, `1886`, `1887`, `1888`, `1889`, `1890`, `1891`, `1892`, `1894`, `1895`, `1897`, `1898`, `1900`, `1901`, `1903`, `1905`, `1906`, `1907`, `1909`, `1910`, `1911`, `1912`, `1913`, `1914`, `1915`, `1916`, `1917`, `1918`, `1919`, `1920`, `1923`, `1924`, `1925`, `1926`, `1928`, `1929`, `1930`, `1932`, `1934`, `1935`, `1938`, `1939`, `1940`, `1942`, `1943`, `1945`, `1946`, `1947`, `1949`, `1950`, `1951`, `1953`, `1954`, `1955`, `1956`, `1957`, `1958`, `1960`, `1961`, `1962`, `1963`, `1964`, `1965`, `1967`, `1968`, `1969`, `1970`, `1973`, `1975`, `1976`, `1977`, `1978`, `1979`, `1981`, `1983`, `1984`, `1985`, `1987`, `1989`, `1990`, `1991`, `1992`, `1994`, `1995`, `1996`, `1997`, `1998`, `2000`, `2002`, `2003`, `2004`, `2005`, `2007`, `2008`, `2010`, `2012`, `2013`, `2014`, `2015`, `1367`, `2017`, `2018`, `2019`, `2021`, `2023`, `2025`, `2026`, `2028`, `2029`, `2030`, `2031`, `2033`, `2035`, `2038`, `2040`, `2041`, `2042`, `2044`, `2046`, `2048`, `2051`, `2052`, `2053`, `2054`, `2055`, `2057`, `2058`, `2059`, `2061`, `2063`, `2064`, `2066`, `2067`, `2068`, `2070`, `2071`, `2072`, `2073`, `2074`, `2075`, `2076`, `2077`, `2078`, `2080`, `2081`, `2084`, `2085`, `2086`, `2087`, `2088`, `2089`, `2090`, `2091`, `2092`, `2094`, `2096`, `2097`, `2098`, `2099`, `2100`, `2101`, `2102`, `2103`, `2104`, `2105`, `2106`, `2108`, `2109`, `2111`, `2112`, `2113`, `2116`, `2117`, `2118`, `2119`, `2120`, `2121`, `2122`, `2123`, `2124`, `2126`, `2127`, `2128`, `2129`, `2130`, `2131`, `2133`, `2134`, `2135`, `2136`, `2139`, `2141`, `2142`, `2143`, `2144`, `2145`, `2146`, `2147`, `2148`, `2149`, `2150`, `2151`, `2152`, `2153`, `2154`, `2155`, `2156`, `2157`, `2158`, `2159`, `2160`, `2161`, `2162`, `2163`, `2164`, `2165`, `2166`, `2168`, `2169`, `2170`, `2171`, `2172`, `2174`, `2175`, `2176`, `2178`, `2180`, `2181`, `2183`, `2184`, `2185`, `2186`, `2187`, `2188`, `2190`, `2193`, `2194`, `2195`, `2196`, `2198`, `2199`, `2201`, `2202`, `2203`, `2205`, `2206`, `2207`, `2210`, `2211`, `2212`, `2214`, `2215`, `2216`, `2217`, `2219`, `2222`, `2225`, `2226`, `2227`, `2228`, `2229`, `2231`, `2233`, `2234`, `2235`, `2237`, `2238`, `2239`, `2240`, `2241`, `2242`, `2243`, `2244`, `2245`, `2246`, `2247`, `2249`, `2251`, `2252`, `2253`, `2254`, `2256`, `2258`, `2259`, `2261`, `2262`, `2264`, `2265`, `2266`, `2267`, `2268`, `2269`, `2270`, `2272`, `2274`, `2275`, `2276`, `2277`, `2279`, `2281`, `2282`, `2284`, `2286`, `2290`, `2292`, `2293`, `2294`, `2295`, `2296`, `2297`, `2298`, `2299`, `2300`, `2301`, `2302`, `2303`, `2304`, `2306`, `2307`, `2308`, `2310`, `2311`, `2312`, `2313`, `2314`, `2315`, `2316`, `2317`, `2318`, `2319`, `2320`, `2322`, `2323`, `2324`, `2325`, `2326`, `2327`, `2328`, `2329`, `2330`, `2331`, `2332`, `2334`, `2336`, `2338`, `2339`, `2342`, `2343`, `2344`, `2345`, `2346`, `2347`, `2348`, `2349`, `2350`, `2351`, `2353`, `2355`, `2356`, `2357`, `2358`, `2359`, `2360`, `2361`, `2362`, `2363`, `2364`, `2365`, `2366`, `2368`, `2369`, `2370`, `2372`, `2373`, `2375`, `2376`, `2377`, `2378`, `2380`, `2381`, `2383`, `2385`, `2386`, `2387`, `2389`, `2391`, `2392`, `2393`, `2396`, `2397`, `2398`, `2399`, `2400`, `2401`, `2403`, `2405`, `2407`, `2408`, `2409`, `2410`, `2411`, `2413`, `2414`, `2415`, `2417`, `2419`, `2420`, `2422`, `2423`, `2424`, `2426`, `2427`, `2428`, `2429`, `2430`, `2431`, `2432`, `2433`, `2434`, `2435`, `2436`, `2438`, `2439`, `2441`, `2443`, `2444`, `2445`, `2448`, `2449`, `2451`, `2452`, `2453`, `2454`, `2455`, `2456`, `2457`, `2458`, `2459`, `2460`, `2461`, `2462`, `2463`, `2464`, `2466`, `2467`, `2469`, `2470`, `2471`, `2472`, `2475`, `2476`, `2477`, `2478`, `2479`, `2482`, `2483`, `2484`, `2485`, `2486`, `2487`, `2488`, `2489`, `2490`, `400`, `2491`, `2492`, `2494`, `2495`, `2497`, `2498`, `2500`, `2501`, `2503`, `2504`, `2506`, `2507`, `2508`, `2509`, `2510`, `2511`, `2513`, `2515`, `2516`, `2517`, `2518`, `2519`, `51`, `2521`, `2523`, `2524`, `2525`, `2526`, `2527`, `2528`, `2530`, `2531`, `2532`, `2534`, `2535`, `2536`, `2537`, `2539`, `2540`, `2541`, `2542`, `2543`, `2544`, `2545`, `2546`, `2547`, `2549`, `2550`, `2551`, `2552`, `2553`, `2555`, `2556`, `2557`, `2558`, `2559`, `2560`, `2561`, `2562`, `2563`, `2564`, `2566`, `2569`, `2571`, `2572`, `2573`, `2576`, `2577`, `2578`, `2580`, `2581`, `2582`, `2584`, `2585`, `2586`, `2587`, `2588`, `2589`, `2592`, `2593`, `2594`, `2595`, `2596`, `2598`, `2599`, `2600`, `203`, `2601`, `2602`, `2603`, `2604`, `2605`, `2606`, `2607`, `2609`, `2611`, `2612`, `2613`, `2614`, `2615`, `2616`, `2617`, `2618`, `2619`, `2620`, `2622`, `2624`, `2625`, `2626`, `2627`, `2628`, `2630`, `2632`, `2633`, `2634`, `2635`, `2636`, `2637`, `2638`, `2639`, `2640`, `2641`, `2642`, `2643`, `2644`, `2645`, `2646`, `2647`, `2648`, `2649`, `2651`, `2652`, `2654`, `2657`, `2658`, `2660`, `2661`, `2662`, `2663`, `2664`, `2665`, `2666`, `2667`, `2668`, `2669`, `2670`, `2672`, `2673`, `2675`, `2676`, `2677`, `2678`, `472`, `2679`, `2680`, `2681`, `2682`, `115`, `2683`, `2685`, `2686`, `2687`, `2688`, `2689`, `2690`, `2691`, `2692`, `2693`, `2694`, `2695`, `2697`, `2698`, `2335`, `2700`, `2701`, `2702`, `2703`, `2704`, `2705`, `2707`, `2708`, `2709`, `2710`, `2711`, `2712`, `2713`, `152`, `2714`, `2715`, `2716`, `2717`, `2718`, `2719`, `2722`, `2723`, `2724`, `2725`, `2728`, `2730`, `2731`, `2732`, `2733`, `2734`, `2736`, `2737`, `2738`, `2740`, `2741`, `2743`, `2744`, `2745`, `2746`, `2747`, `2749`, `2750`, `2751`, `2753`, `2755`, `2758`, `2759`, `2760`, `2761`, `2763`, `2764`, `2765`, `2766`, `2767`, `2768`, `2769`, `2770`, `2771`, `2772`, `2773`, `2775`, `2776`, `2777`, `2778`, `2779`, `2780`, `2781`, `2782`, `2783`, `2785`, `2786`, `2787`, `2790`, `2791`, `2792`, `2793`, `2794`, `2795`, `2798`, `2799`, `2800`, `2801`, `2802`, `2803`, `2804`, `2807`, `2808`, `2809`, `2810`, `2811`, `2814`, `2815`, `2816`, `2817`, `2818`, `2819`, `2821`, `2822`, `2823`, `2824`, `2825`, `2827`, `2829`, `2830`, `2831`, `2832`, `2833`, `2836`, `2837`, `2838`, `2839`, `2841`, `2842`, `2843`, `2844`, `2845`, `2847`, `2848`, `2849`, `2850`, `2851`, `2852`, `2853`, `2855`, `2857`, `2859`, `2860`, `2864`, `2865`, `2866`, `2867`, `2868`, `2870`, `2871`, `2872`, `2873`, `2875`, `2876`, `2878`, `2879`, `2880`, `2881`, `2882`, `2884`, `2885`, `2889`, `2890`, `2891`, `2892`, `2893`, `2894`, `2895`, `2896`, `2897`, `2898`, `2900`, `2901`, `2902`, `2903`, `2904`, `2905`, `2906`, `2907`, `2908`, `2909`, `2910`, `2911`, `2912`, `2913`, `2914`, `2915`, `2916`, `2917`, `2918`, `2919`, `2921`, `2922`, `2923`, `2925`, `2926`, `2927`, `2929`, `2931`, `2932`, `2934`, `2935`, `2936`, `2937`, `2938`, `2940`, `2941`, `2942`, `2944`, `2945`, `2946`, `2947`, `2948`, `2949`, `2950`, `2951`, `2952`, `2953`, `2954`, `2955`, `2956`, `2957`, `2959`, `2962`, `2963`, `2964`, `2965`, `2966`, `2967`, `2968`, `2969`, `2970`, `2971`, `2972`, `2974`, `2975`, `2976`, `2978`, `2979`, `2980`, `2981`, `2982`, `2983`, `2984`, `2985`, `2987`, `2988`, `2990`, `2991`, `2993`, `2994`, `2995`, `2996`, `2997`, `2998`, `2999`, `3000`, `3004`, `3005`, `3007`, `3008`, `3009`, `3011`, `3012`, `3014`, `3015`, `3016`, `3017`, `3018`, `3019`, `3020`, `3021`, `3022`, `3023`, `3024`, `3025`, `3026`, `3027`, `3028`, `3029`, `3030`, `3031`, `3032`, `3033`, `3034`, `3036`, `3038`, `3039`, `3041`, `3042`, `3043`, `3044`, `3045`, `3046`, `3047`, `3048`, `3049`, `3050`, `3051`, `3052`, `3053`, `3054`, `3055`, `3056`, `3057`, `3059`, `3060`, `3061`, `3063`, `3065`, `3066`, `3067`, `3068`, `3070`, `3071`, `3072`, `3073`, `3074`, `3075`, `3076`, `3077`, `3078`, `3079`, `3080`, `3082`, `3083`, `3084`, `3085`, `3086`, `3087`, `3088`, `3089`, `3092`, `3094`, `3095`, `3097`, `3098`, `3101`, `3102`, `3103`, `3105`, `3107`, `3109`, `3110`, `3111`, `3112`, `3114`, `3115`, `3116`, `3117`, `3118`, `3119`, `3120`, `3122`, `3123`, `3124`, `3125`, `3126`, `3127`, `3128`, `3130`, `3131`, `3132`, `3133`, `3134`, `3135`, `3137`, `3138`, `3140`, `3141`, `3143`, `3144`, `3145`, `3146`, `3147`, `3148`, `3150`, `3151`, `3152`, `3153`, `3155`, `3157`, `3159`, `3160`, `3162`, `3163`, `3165`, `3166`, `3168`, `3169`, `3170`, `3172`, `3173`, `3175`, `3176`, `3177`, `3179`, `3181`, `3182`, `3183`, `3184`, `3185`, `3186`, `3187`, `3188`, `3190`, `3192`, `3194`, `3195`, `3198`, `3200`, `3201`, `3203`, `3205`, `3206`, `3207`, `3208`, `3209`, `3210`, `3211`, `3212`, `3213`, `3214`, `3215`, `3216`, `3217`, `3219`, `3220`, `3222`, `3224`, `3225`, `3226`, `3227`, `3230`, `3231`, `3232`, `3234`, `3235`, `3236`, `3239`, `3241`, `3242`, `3243`, `3244`, `3247`, `3249`, `3250`, `3251`, `3253`, `3255`, `3256`, `3257`, `3259`, `3261`, `3262`, `3264`, `3265`, `3266`, `3267`, `3269`, `3270`, `3271`, `3272`, `3273`, `3274`, `3275`, `3276`, `3278`, `3279`, `3280`, `3281`, `3283`, `3284`, `3285`, `3286`, `3288`, `3289`, `3291`, `3292`, `3295`, `3297`, `3298`, `3300`, `3302`, `3304`, `3305`, `3306`, `3307`, `3308`, `3309`, `3310`, `3311`, `3312`, `3313`, `3314`, `3315`, `3316`, `3318`, `3319`, `3320`, `3321`, `3322`, `3323`, `3324`, `3326`, `3327`, `3328`, `3329`, `3330`, `3331`, `3332`, `3333`, `3334`, `3335`, `3336`, `3338`, `3339`, `3340`, `3341`, `3342`, `3343`, `3344`, `3346`, `3348`, `3349`, `3350`, `3351`, `3354`, `3355`, `3356`, `3357`, `3358`, `3359`, `3361`, `3362`, `3363`, `3364`, `3365`, `3366`, `3367`, `3369`, `3370`, `3371`, `3373`, `3374`, `3375`, `3376`, `3378`, `3379`, `3380`, `3381`, `3382`, `3383`, `3384`, `3385`, `3386`, `3387`, `3389`, `1251`, `3390`, `3391`, `3392`, `3393`, `3394`, `3395`, `3396`, `3399`, `3402`, `3403`, `3404`, `3406`, `3407`, `3408`, `3409`, `3410`, `3411`, `3413`, `3414`, `3415`, `3416`, `3417`, `3418`, `3419`, `3420`, `3421`, `3422`, `3423`, `3425`, `3427`, `3428`, `3430`, `3431`, `3432`, `3435`, `3436`, `3437`, `3438`, `3439`, `3440`, `3441`, `3443`, `3444`, `3445`, `3446`, `3447`, `3449`, `3450`, `3451`, `3452`, `3454`, `3455`, `3458`, `3459`, `3460`, `3461`, `3464`, `3466`, `3467`, `3468`, `3469`, `3470`, `3472`, `3473`, `3475`, `3476`, `3478`, `3480`, `3481`, `3484`, `3485`, `3486`, `3487`, `3488`, `3490`, `3491`, `3492`, `3496`, `3498`, `3499`, `3500`, `3501`, `3502`, `3503`, `3504`, `3505`, `3507`, `3508`, `3509`, `3510`, `3513`, `3514`, `3516`, `3518`, `3522`, `3523`, `3524`, `3526`, `3527`, `3529`, `3531`, `3532`, `3534`, `3535`, `3536`, `3537`, `3538`, `3539`, `3541`, `3542`, `3543`, `3544`, `3545`, `3546`, `3547`, `3549`, `3550`, `3551`, `3552`, `3554`, `3556`, `3558`, `3559`, `3560`, `3561`, `3562`, `3563`, `3565`, `3567`, `3568`, `3569`, `3570`, `3571`, `3573`, `3574`, `3576`, `3577`, `3579`, `3580`, `3581`, `3582`, `3584`, `3586`, `3588`, `3589`, `3590`, `3591`, `3592`, `3593`, `3594`, `3595`, `3596`, `3597`, `3598`, `3601`, `3602`, `3604`, `3605`, `3606`, `3608`, `3609`, `3610`, `3611`, `3612`, `3613`, `3614`, `3615`, `3616`, `3617`, `3618`, `3619`, `3620`, `3621`, `3622`, `3623`, `3625`, `3626`, `3627`, `3628`, `3629`, `3630`, `3631`, `3632`, `3633`, `3634`, `3635`, `3636`, `3637`, `3638`, `3639`, `3640`, `3641`, `3642`, `3643`, `3644`, `3645`, `3646`, `3647`, `3648`, `3650`, `3651`, `3652`, `3653`, `3654`, `3655`, `3656` |
</details>
### Accuracy
| Type | Score |
| --- | --- |
| `TOKEN_F` | 100.00 |
| `TOKEN_P` | 100.00 |
| `TOKEN_R` | 100.00 |
| `TOKEN_ACC` | 100.00 |
| `SENTS_F` | 92.13 |
| `SENTS_P` | 92.08 |
| `SENTS_R` | 92.17 |
| `TAG_ACC` | 91.20 |
| `POS_ACC` | 97.20 |
| `MORPH_ACC` | 93.90 |
| `DEP_UAS` | 94.14 |
| `DEP_LAS` | 90.95 |
| `LEMMA_ACC` | 91.74 | |
pietrotrope/hate_trained | pietrotrope | 2021-12-11T01:00:50Z | 5 | 0 | transformers | [
"transformers",
"pytorch",
"distilbert",
"text-classification",
"generated_from_trainer",
"dataset:tweet_eval",
"license:apache-2.0",
"model-index",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | text-classification | 2022-03-02T23:29:05Z | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- tweet_eval
metrics:
- f1
model-index:
- name: hate_trained
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: tweet_eval
type: tweet_eval
args: hate
metrics:
- name: F1
type: f1
value: 0.7730369969869401
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# hate_trained
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the tweet_eval dataset.
It achieves the following results on the evaluation set:
- Loss: 0.9661
- F1: 0.7730
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 9.303025140957233e-06
- train_batch_size: 4
- eval_batch_size: 4
- seed: 0
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4
### Training results
| Training Loss | Epoch | Step | Validation Loss | F1 |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 0.4767 | 1.0 | 2250 | 0.5334 | 0.7717 |
| 0.4342 | 2.0 | 4500 | 0.7633 | 0.7627 |
| 0.3813 | 3.0 | 6750 | 0.9452 | 0.7614 |
| 0.3118 | 4.0 | 9000 | 0.9661 | 0.7730 |
### Framework versions
- Transformers 4.13.0
- Pytorch 1.10.0+cu111
- Datasets 1.16.1
- Tokenizers 0.10.3
|
explosion/sr_udv25_serbianset_trf | explosion | 2021-12-11T00:35:48Z | 0 | 0 | spacy | [
"spacy",
"token-classification",
"sr",
"license:cc-by-sa-4.0",
"model-index",
"region:us"
] | token-classification | 2022-03-02T23:29:05Z | ---
tags:
- spacy
- token-classification
language:
- sr
license: cc-by-sa-4.0
model-index:
- name: sr_udv25_serbianset_trf
results:
- task:
name: TAG
type: token-classification
metrics:
- name: TAG (XPOS) Accuracy
type: accuracy
value: 0.9586425415
- task:
name: POS
type: token-classification
metrics:
- name: POS (UPOS) Accuracy
type: accuracy
value: 0.9855749187
- task:
name: MORPH
type: token-classification
metrics:
- name: Morph (UFeats) Accuracy
type: accuracy
value: 0.9605169898
- task:
name: LEMMA
type: token-classification
metrics:
- name: Lemma Accuracy
type: accuracy
value: 0.9593563717
- task:
name: UNLABELED_DEPENDENCIES
type: token-classification
metrics:
- name: Unlabeled Attachment Score (UAS)
type: f_score
value: 0.9372300605
- task:
name: LABELED_DEPENDENCIES
type: token-classification
metrics:
- name: Labeled Attachment Score (LAS)
type: f_score
value: 0.9024858432
- task:
name: SENTS
type: token-classification
metrics:
- name: Sentences F-Score
type: f_score
value: 0.9803554724
---
UD v2.5 benchmarking pipeline for UD_Serbian-SET
| Feature | Description |
| --- | --- |
| **Name** | `sr_udv25_serbianset_trf` |
| **Version** | `0.0.1` |
| **spaCy** | `>=3.2.1,<3.3.0` |
| **Default Pipeline** | `experimental_char_ner_tokenizer`, `transformer`, `tagger`, `morphologizer`, `parser`, `experimental_edit_tree_lemmatizer` |
| **Components** | `experimental_char_ner_tokenizer`, `transformer`, `senter`, `tagger`, `morphologizer`, `parser`, `experimental_edit_tree_lemmatizer` |
| **Vectors** | 0 keys, 0 unique vectors (0 dimensions) |
| **Sources** | [Universal Dependencies v2.5](https://lindat.mff.cuni.cz/repository/xmlui/handle/11234/1-3105) (Zeman, Daniel; et al.) |
| **License** | `CC BY-SA 4.0` |
| **Author** | [Explosion](https://explosion.ai) |
### Label Scheme
<details>
<summary>View label scheme (2603 labels for 6 components)</summary>
| Component | Labels |
| --- | --- |
| **`experimental_char_ner_tokenizer`** | `TOKEN` |
| **`senter`** | `I`, `S` |
| **`tagger`** | `Agcfpay`, `Agcfpgy`, `Agcfpiy`, `Agcfply`, `Agcfpny`, `Agcfsay`, `Agcfsdy`, `Agcfsgy`, `Agcfsiy`, `Agcfsly`, `Agcfsny`, `Agcmpay`, `Agcmpgy`, `Agcmpiy`, `Agcmpny`, `Agcmsayn`, `Agcmsdy`, `Agcmsgy`, `Agcmsiy`, `Agcmsly`, `Agcmsny`, `Agcnply`, `Agcnpny`, `Agcnsay`, `Agcnsdy`, `Agcnsgy`, `Agcnsiy`, `Agcnsly`, `Agcnsny`, `Agpfpay`, `Agpfpdy`, `Agpfpgy`, `Agpfpiy`, `Agpfply`, `Agpfpny`, `Agpfsay`, `Agpfsdy`, `Agpfsgy`, `Agpfsiy`, `Agpfsly`, `Agpfsny`, `Agpmpay`, `Agpmpdy`, `Agpmpgy`, `Agpmpiy`, `Agpmply`, `Agpmpny`, `Agpmsann`, `Agpmsayn`, `Agpmsayy`, `Agpmsdy`, `Agpmsgn`, `Agpmsgy`, `Agpmsiy`, `Agpmsly`, `Agpmsnn`, `Agpmsny`, `Agpnpay`, `Agpnpdy`, `Agpnpgy`, `Agpnpiy`, `Agpnply`, `Agpnpny`, `Agpnsay`, `Agpnsdy`, `Agpnsgn`, `Agpnsgy`, `Agpnsiy`, `Agpnsly`, `Agpnsny`, `Agsfpay`, `Agsfpgy`, `Agsfpiy`, `Agsfpny`, `Agsfsay`, `Agsfsgy`, `Agsfsiy`, `Agsfsny`, `Agsmpay`, `Agsmpdy`, `Agsmpgy`, `Agsmply`, `Agsmpny`, `Agsmsayn`, `Agsmsayy`, `Agsmsgy`, `Agsmsiy`, `Agsmsly`, `Agsmsny`, `Agsnpay`, `Agsnpgy`, `Agsnpny`, `Agsnsgy`, `Agsnsiy`, `Agsnsny`, `Appfpay`, `Appfpdy`, `Appfpgy`, `Appfpiy`, `Appfply`, `Appfpny`, `Appfsay`, `Appfsgy`, `Appfsiy`, `Appfsly`, `Appfsny`, `Appmpay`, `Appmpgy`, `Appmpiy`, `Appmply`, `Appmpny`, `Appmsann`, `Appmsayn`, `Appmsayy`, `Appmsdy`, `Appmsgy`, `Appmsiy`, `Appmsly`, `Appmsnn`, `Appmsny`, `Appnpay`, `Appnpgy`, `Appnpiy`, `Appnpny`, `Appnsay`, `Appnsgy`, `Appnsiy`, `Appnsly`, `Appnsny`, `Aspfpay`, `Aspfpgy`, `Aspfply`, `Aspfpny`, `Aspfsay`, `Aspfsdy`, `Aspfsgy`, `Aspfsiy`, `Aspfsly`, `Aspfsny`, `Aspmpay`, `Aspmpgy`, `Aspmpny`, `Aspmsann`, `Aspmsayy`, `Aspmsdy`, `Aspmsgy`, `Aspmsiy`, `Aspmsly`, `Aspmsnn`, `Aspnpay`, `Aspnsay`, `Aspnsgy`, `Aspnsly`, `Aspnsny`, `Cc`, `Cs`, `I`, `Mdc`, `Mdm`, `Mdo`, `Mds`, `Mlc`, `Mlc--i`, `Mlcf-a`, `Mlcf-g`, `Mlcf-n`, `Mlcfpa`, `Mlcfpg`, `Mlcfsa`, `Mlcfsd`, `Mlcfsg`, `Mlcfsi`, `Mlcfsl`, `Mlcfsn`, `Mlcm-a`, `Mlcm-n`, `Mlcmpn`, `Mlcmsan`, `Mlcmsay`, `Mlcmsd`, `Mlcmsg`, `Mlcmsi`, `Mlcmsl`, `Mlcmsn`, `Mlcn-n`, `Mlcnsa`, `Mlcnsl`, `Mlcnsn`, `Mlofpa`, `Mlofpd`, `Mlofpg`, `Mlofpi`, `Mlofpl`, `Mlofpn`, `Mlofsa`, `Mlofsd`, `Mlofsg`, `Mlofsi`, `Mlofsl`, `Mlofsn`, `Mlompa`, `Mlompd`, `Mlompg`, `Mlompi`, `Mlompl`, `Mlompn`, `Mlomsan`, `Mlomsay`, `Mlomsd`, `Mlomsg`, `Mlomsi`, `Mlomsl`, `Mlomsn`, `Mlonpa`, `Mlonpg`, `Mlonpl`, `Mlonsa`, `Mlonsg`, `Mlonsi`, `Mlonsl`, `Mlonsn`, `Mls`, `Mlsf-a`, `Mlsf-g`, `Mlsf-i`, `Mlsf-l`, `Mlsf-n`, `Mlsm-a`, `Mlsm-n`, `Ncfpa`, `Ncfpd`, `Ncfpg`, `Ncfpi`, `Ncfpl`, `Ncfpn`, `Ncfsa`, `Ncfsd`, `Ncfsg`, `Ncfsi`, `Ncfsl`, `Ncfsn`, `Ncmpa`, `Ncmpd`, `Ncmpg`, `Ncmpi`, `Ncmpl`, `Ncmpn`, `Ncmsan`, `Ncmsay`, `Ncmsd`, `Ncmsg`, `Ncmsi`, `Ncmsl`, `Ncmsn`, `Ncmsv`, `Ncnpa`, `Ncnpd`, `Ncnpg`, `Ncnpi`, `Ncnpl`, `Ncnpn`, `Ncnsa`, `Ncnsd`, `Ncnsg`, `Ncnsi`, `Ncnsl`, `Ncnsn`, `Npfpd`, `Npfpg`, `Npfpn`, `Npfsa`, `Npfsd`, `Npfsg`, `Npfsi`, `Npfsl`, `Npfsn`, `Npmpa`, `Npmpd`, `Npmpg`, `Npmpi`, `Npmpn`, `Npmsan`, `Npmsay`, `Npmsd`, `Npmsg`, `Npmsi`, `Npmsl`, `Npmsn`, `Npnpn`, `Npnsa`, `Npnsd`, `Npnsg`, `Npnsi`, `Npnsl`, `Npnsn`, `Pd-fpa`, `Pd-fpd`, `Pd-fpg`, `Pd-fpi`, `Pd-fpl`, `Pd-fpn`, `Pd-fsa`, `Pd-fsd`, `Pd-fsg`, `Pd-fsi`, `Pd-fsl`, `Pd-fsn`, `Pd-mpa`, `Pd-mpd`, `Pd-mpg`, `Pd-mpl`, `Pd-mpn`, `Pd-msan`, `Pd-msay`, `Pd-msd`, `Pd-msg`, `Pd-msi`, `Pd-msl`, `Pd-msn`, `Pd-npa`, `Pd-npd`, `Pd-npg`, `Pd-npl`, `Pd-npn`, `Pd-nsa`, `Pd-nsd`, `Pd-nsg`, `Pd-nsi`, `Pd-nsl`, `Pd-nsn`, `Pi--sn`, `Pi-fpa`, `Pi-fpd`, `Pi-fpg`, `Pi-fpi`, `Pi-fpl`, `Pi-fpn`, `Pi-fsa`, `Pi-fsd`, `Pi-fsg`, `Pi-fsi`, `Pi-fsl`, `Pi-fsn`, `Pi-mpa`, `Pi-mpd`, `Pi-mpg`, `Pi-mpi`, `Pi-mpl`, `Pi-mpn`, `Pi-msan`, `Pi-msay`, `Pi-msd`, `Pi-msg`, `Pi-msi`, `Pi-msl`, `Pi-msn`, `Pi-npa`, `Pi-npd`, `Pi-npg`, `Pi-npl`, `Pi-npn`, `Pi-nsa`, `Pi-nsg`, `Pi-nsi`, `Pi-nsl`, `Pi-nsn`, `Pi3m-a`, `Pi3m-d`, `Pi3m-g`, `Pi3m-n`, `Pi3n-a`, `Pi3n-g`, `Pi3n-i`, `Pi3n-l`, `Pi3n-n`, `Pp1-pa`, `Pp1-pd`, `Pp1-pg`, `Pp1-pi`, `Pp1-pl`, `Pp1-pn`, `Pp1-sa`, `Pp1-sd`, `Pp1-sn`, `Pp2-pa`, `Pp2-pd`, `Pp2-pl`, `Pp2-pn`, `Pp3-pa`, `Pp3-pd`, `Pp3-pg`, `Pp3-pi`, `Pp3-pl`, `Pp3fpn`, `Pp3fsa`, `Pp3fsd`, `Pp3fsg`, `Pp3fsi`, `Pp3fsl`, `Pp3fsn`, `Pp3mpn`, `Pp3msa`, `Pp3msd`, `Pp3msg`, `Pp3msi`, `Pp3msl`, `Pp3msn`, `Pp3npn`, `Pp3nsa`, `Pp3nsn`, `Pq-fpa`, `Pq-fsl`, `Pq-fsn`, `Pq-mpn`, `Pq-msn`, `Pq-nsn`, `Pq3n-n`, `Ps1fpa`, `Ps1fpd`, `Ps1fpg`, `Ps1fpn`, `Ps1fsa`, `Ps1fsd`, `Ps1fsg`, `Ps1fsl`, `Ps1fsn`, `Ps1mpa`, `Ps1mpd`, `Ps1mpg`, `Ps1mpl`, `Ps1mpn`, `Ps1msan`, `Ps1msd`, `Ps1msg`, `Ps1msn`, `Ps1nsa`, `Ps1nsg`, `Ps1nsl`, `Ps1nsn`, `Ps2fpl`, `Ps2fpn`, `Ps2msan`, `Ps2nsl`, `Ps2nsn`, `Ps3fpa`, `Ps3fpg`, `Ps3fpl`, `Ps3fpn`, `Ps3fsa`, `Ps3fsd`, `Ps3fsg`, `Ps3fsi`, `Ps3fsl`, `Ps3fsn`, `Ps3mpa`, `Ps3mpd`, `Ps3mpg`, `Ps3mpl`, `Ps3mpn`, `Ps3msan`, `Ps3msd`, `Ps3msg`, `Ps3msi`, `Ps3msl`, `Ps3msn`, `Ps3npa`, `Ps3npg`, `Ps3npl`, `Ps3nsa`, `Ps3nsg`, `Ps3nsl`, `Ps3nsn`, `Px--sa`, `Px--sd`, `Px--sg`, `Px--si`, `Px--sl`, `Px-fpa`, `Px-fpg`, `Px-fpi`, `Px-fpl`, `Px-fsa`, `Px-fsd`, `Px-fsg`, `Px-fsi`, `Px-fsl`, `Px-mpa`, `Px-mpd`, `Px-mpg`, `Px-mpi`, `Px-mpl`, `Px-msan`, `Px-msay`, `Px-msd`, `Px-msg`, `Px-msi`, `Px-msl`, `Px-npa`, `Px-npg`, `Px-npl`, `Px-nsa`, `Px-nsg`, `Qo`, `Qq`, `Qz`, `Rgc`, `Rgp`, `Rgs`, `Rr`, `Sa`, `Sd`, `Sg`, `Si`, `Sl`, `Vaa1p`, `Vaa1s`, `Vaa3p`, `Vaa3s`, `Vaf3p`, `Vaf3s`, `Van`, `Vap-pf`, `Vap-pm`, `Vap-pn`, `Vap-sf`, `Vap-sm`, `Vap-sn`, `Var1p`, `Var1s`, `Var2p`, `Var3p`, `Var3s`, `Vma3s`, `Vmf1p`, `Vmf1s`, `Vmf2p`, `Vmf3p`, `Vmf3s`, `Vmm1p`, `Vmm2p`, `Vmn`, `Vmp-pf`, `Vmp-pm`, `Vmp-pn`, `Vmp-sf`, `Vmp-sm`, `Vmp-sn`, `Vmr1p`, `Vmr1s`, `Vmr2p`, `Vmr3p`, `Vmr3s`, `X`, `Xf`, `Y`, `Z` |
| **`morphologizer`** | `Case=Nom\|Gender=Fem\|Number=Sing\|POS=NOUN`, `Case=Dat\|Definite=Def\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=ADJ`, `Case=Dat\|Gender=Masc\|Number=Sing\|POS=NOUN`, `Gender=Fem\|Number=Sing\|POS=VERB\|Tense=Past\|VerbForm=Part\|Voice=Act`, `Case=Acc\|Gender=Fem\|Number=Sing\|POS=NOUN`, `Case=Loc\|POS=ADP`, `Case=Loc\|Gender=Fem\|Number=Sing\|POS=PROPN`, `Case=Nom\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Ind`, `Mood=Ind\|Number=Plur\|POS=VERB\|Person=3\|Tense=Pres\|VerbForm=Fin`, `POS=SCONJ`, `Mood=Ind\|Number=Sing\|POS=AUX\|Person=3\|Tense=Pres\|VerbForm=Fin`, `Case=Dat\|Gender=Masc\|Number=Sing\|POS=PROPN`, `Case=Nom\|Gender=Masc\|Number=Sing\|POS=NOUN`, `Case=Acc\|POS=ADP`, `Case=Gen\|Gender=Masc\|Number=Plur\|POS=NOUN`, `POS=PUNCT`, `POS=CCONJ`, `Case=Nom\|Degree=Pos\|Gender=Masc\|Number=Plur\|POS=ADJ`, `Case=Nom\|Gender=Masc\|Number=Plur\|POS=NOUN`, `Case=Loc\|Gender=Neut\|Gender[psor]=Masc,Neut\|Number=Plur\|Number[psor]=Sing\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Case=Loc\|Definite=Def\|Degree=Pos\|Gender=Masc\|Number=Plur\|POS=ADJ`, `Case=Loc\|Gender=Masc\|Number=Plur\|POS=NOUN`, `Degree=Pos\|POS=ADV`, `Case=Nom\|Definite=Def\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=ADJ`, `Case=Nom\|Gender=Fem\|Number=Sing\|POS=PROPN`, `Case=Nom\|Definite=Ind\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=ADJ\|VerbForm=Part\|Voice=Pass`, `NumType=Card\|POS=NUM`, `Case=Gen\|Gender=Fem\|Number=Plur\|POS=NOUN`, `Case=Gen\|Gender=Masc\|Number=Sing\|POS=NOUN`, `Case=Gen\|POS=ADP`, `Case=Gen\|Gender=Fem\|Number=Sing\|POS=NOUN`, `Case=Gen\|Gender=Neut\|Number=Sing\|POS=NOUN`, `Case=Nom\|Definite=Def\|Degree=Pos\|Gender=Fem\|Number=Sing\|POS=ADJ`, `Case=Nom\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Int,Rel`, `Gender=Masc\|Number=Sing\|POS=VERB\|Tense=Past\|VerbForm=Part\|Voice=Act`, `Case=Acc\|Definite=Def\|Degree=Pos\|Gender=Fem\|Number=Sing\|POS=ADJ`, `Mood=Cnd\|Number=Sing\|POS=AUX\|Person=3\|Tense=Past\|VerbForm=Fin`, `Mood=Ind\|Number=Sing\|POS=VERB\|Person=3\|Tense=Pres\|VerbForm=Fin`, `Case=Acc\|Gender=Masc\|Number=Plur\|POS=NOUN`, `Case=Loc\|Gender=Fem\|Number=Sing\|POS=DET\|PronType=Dem`, `Case=Loc\|Definite=Def\|Degree=Pos\|Gender=Fem\|Number=Sing\|POS=ADJ`, `Case=Loc\|Gender=Fem\|Number=Sing\|POS=NOUN`, `Case=Nom\|Gender=Masc\|Number=Sing\|POS=PROPN`, `Case=Gen\|Definite=Def\|Degree=Pos\|Gender=Fem\|Number=Sing\|POS=ADJ`, `POS=X`, `Case=Nom\|Gender=Fem\|Number=Plur\|POS=NOUN`, `Case=Gen\|Degree=Pos\|Gender=Neut\|Number=Plur\|POS=ADJ`, `Case=Gen\|Gender=Neut\|Number=Plur\|POS=NOUN`, `Case=Loc\|Definite=Def\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=ADJ`, `Case=Loc\|Gender=Masc\|Number=Sing\|POS=NOUN`, `Case=Loc\|Gender=Neut\|Number=Sing\|POS=PROPN`, `NumType=Ord\|POS=NUM`, `Gender=Neut\|Number=Sing\|POS=VERB\|Tense=Past\|VerbForm=Part\|Voice=Act`, `Case=Acc\|Definite=Def\|Degree=Pos\|Gender=Fem\|Number=Plur\|POS=ADJ`, `Case=Acc\|Gender=Fem\|Number=Plur\|POS=NOUN`, `Case=Loc\|Gender=Neut\|Number=Sing\|POS=NOUN`, `Case=Nom\|Gender=Fem\|NumType=Card\|Number=Plur\|POS=NUM`, `Case=Nom\|Definite=Def\|Degree=Pos\|Gender=Masc\|Number=Plur\|POS=ADJ\|VerbForm=Part\|Voice=Pass`, `Mood=Ind\|Number=Plur\|POS=AUX\|Person=3\|Tense=Pres\|VerbForm=Fin`, `Mood=Ind\|Number=Plur\|POS=AUX\|Person=3\|Polarity=Neg\|Tense=Pres\|VerbForm=Fin`, `Gender=Masc\|Number=Plur\|POS=VERB\|Tense=Past\|VerbForm=Part\|Voice=Act`, `Animacy=Inan\|Case=Acc\|Gender=Masc\|Number=Sing\|POS=NOUN`, `Case=Acc\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Int,Rel`, `Case=Nom\|Definite=Def\|Degree=Pos\|Gender=Fem\|Number=Plur\|POS=ADJ\|VerbForm=Part\|Voice=Pass`, `Case=Nom\|Definite=Def\|Degree=Pos\|Gender=Masc\|Number=Plur\|POS=ADJ`, `POS=PART\|Polarity=Neg`, `Case=Acc\|Definite=Def\|Degree=Pos\|Gender=Masc\|Number=Plur\|POS=ADJ`, `Case=Gen\|Definite=Def\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=ADJ`, `Case=Gen\|Gender=Fem\|Number=Sing\|POS=PROPN`, `Case=Nom\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Dem`, `Case=Ins\|POS=ADP`, `Case=Ins\|Gender=Masc\|Number=Sing\|POS=NOUN`, `Case=Nom\|Definite=Def\|Degree=Pos\|Gender=Fem\|Number=Sing\|POS=ADJ\|Poss=Yes`, `Degree=Pos\|POS=ADV\|PronType=Dem`, `Case=Gen\|Definite=Def\|Degree=Sup\|Gender=Fem\|Number=Sing\|POS=ADJ`, `Case=Nom\|Gender=Fem\|Number=Sing\|POS=DET\|PronType=Int,Rel`, `Case=Acc\|Gender=Fem\|Gender[psor]=Fem\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Mood=Ind\|Number=Sing\|POS=VERB\|Person=3\|Tense=Fut\|VerbForm=Fin`, `Case=Acc\|Gender=Fem\|Number=Sing\|POS=DET\|PronType=Tot`, `Case=Acc\|Gender=Neut\|Number=Sing\|POS=DET\|PronType=Tot`, `Case=Acc\|Gender=Neut\|Number=Sing\|POS=NOUN`, `Case=Nom\|Gender=Neut\|Number=Sing\|POS=DET\|PronType=Int,Rel`, `Case=Gen\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs`, `Case=Nom\|Gender=Masc\|Gender[psor]=Masc,Neut\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Case=Acc\|POS=PRON\|PronType=Prs\|Reflex=Yes`, `Case=Nom\|Gender=Neut\|Number=Sing\|POS=DET\|PronType=Dem`, `Gender=Masc\|Number=Sing\|POS=AUX\|Tense=Past\|VerbForm=Part\|Voice=Act`, `Animacy=Anim\|Case=Acc\|Gender=Masc\|Number=Sing\|POS=PROPN`, `Case=Gen\|Gender=Masc\|Number=Sing\|POS=PROPN`, `Case=Nom\|Definite=Def\|Degree=Pos\|Gender=Fem\|Number=Sing\|POS=ADJ\|VerbForm=Part\|Voice=Pass`, `POS=DET`, `Case=Nom\|Degree=Pos\|Gender=Fem\|Number=Sing\|POS=ADJ`, `Case=Nom\|Definite=Ind\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=ADJ`, `Case=Nom\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Int,Rel`, `Case=Loc\|Definite=Def\|Degree=Pos\|Gender=Fem\|Number=Plur\|POS=DET`, `Case=Loc\|Gender=Fem\|Number=Plur\|POS=NOUN`, `Case=Nom\|Gender=Neut\|Number=Sing\|POS=DET\|Poss=Yes\|PronType=Int,Rel`, `Case=Nom\|Gender=Neut\|Number=Sing\|POS=NOUN`, `Case=Gen\|Definite=Def\|Degree=Pos\|Gender=Masc\|Number=Plur\|POS=ADJ`, `Animacy=Inan\|Case=Acc\|Gender=Masc\|Number=Sing\|POS=DET\|Poss=Yes\|PronType=Prs\|Reflex=Yes`, `Case=Ins\|Definite=Def\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=ADJ`, `Case=Gen\|Gender=Fem\|Number=Plur\|POS=DET\|Poss=Yes\|PronType=Prs\|Reflex=Yes`, `Case=Nom\|Gender=Fem\|Number=Plur\|POS=DET\|PronType=Int,Rel`, `Degree=Cmp\|POS=ADV`, `Case=Nom\|Gender=Neut\|POS=PRON\|PronType=Int,Rel`, `Case=Acc\|Gender=Neut\|Number=Plur\|POS=NOUN`, `Mood=Ind\|Number=Sing\|POS=AUX\|Person=1\|Tense=Pres\|VerbForm=Fin`, `POS=VERB\|VerbForm=Inf`, `POS=PART`, `Mood=Ind\|Number=Plur\|POS=VERB\|Person=2\|Tense=Pres\|VerbForm=Fin`, `Case=Loc\|Gender=Fem\|Number=Sing\|POS=DET\|Poss=Yes\|PronType=Prs\|Reflex=Yes`, `Case=Dat\|Definite=Def\|Degree=Pos\|Gender=Fem\|Number=Sing\|POS=ADJ`, `Case=Dat\|Gender=Fem\|Number=Sing\|POS=NOUN`, `POS=ADV\|Tense=Past\|VerbForm=Conv`, `Case=Gen\|Definite=Def\|Degree=Pos\|Gender=Neut\|Number=Sing\|POS=ADJ`, `Case=Gen\|Definite=Def\|Degree=Sup\|Gender=Neut\|Number=Sing\|POS=ADJ`, `Case=Nom\|Gender=Masc\|NumType=Card\|Number=Sing\|POS=NUM`, `Case=Gen\|Definite=Def\|Degree=Sup\|Gender=Masc\|Number=Plur\|POS=ADJ`, `Mood=Ind\|Number=Sing\|POS=VERB\|Person=1\|Tense=Pres\|VerbForm=Fin`, `Case=Loc\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Dem`, `Case=Ins\|Definite=Def\|Degree=Pos\|Gender=Fem\|Number=Plur\|POS=DET`, `Case=Ins\|Gender=Fem\|Number=Plur\|POS=NOUN`, `Case=Dat\|Gender=Masc\|Number=Plur\|POS=NOUN`, `Mood=Ind\|Number=Sing\|POS=AUX\|Person=3\|Polarity=Neg\|Tense=Pres\|VerbForm=Fin`, `Gender=Neut\|Number=Sing\|POS=AUX\|Tense=Past\|VerbForm=Part\|Voice=Act`, `Case=Nom\|Definite=Ind\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=ADJ\|Poss=Yes`, `Case=Gen\|Gender=Neut\|Gender[psor]=Masc,Neut\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Case=Ins\|Gender=Masc\|Number=Sing\|POS=PROPN`, `Animacy=Anim\|Case=Acc\|Definite=Def\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=ADJ`, `Gender=Fem\|Number=Sing\|POS=AUX\|Tense=Past\|VerbForm=Part\|Voice=Act`, `Case=Dat\|Gender=Fem\|Gender[psor]=Masc,Neut\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Mood=Ind\|Number=Plur\|POS=VERB\|Person=1\|Tense=Pres\|VerbForm=Fin`, `Animacy=Anim\|Case=Acc\|Gender=Masc\|NumType=Card\|Number=Sing\|POS=NUM`, `Animacy=Anim\|Case=Acc\|Gender=Masc\|Number=Sing\|POS=NOUN`, `Case=Nom\|Number=Plur\|POS=PRON\|Person=1\|PronType=Prs`, `Mood=Ind\|Number=Plur\|POS=AUX\|Person=1\|Tense=Pres\|VerbForm=Fin`, `POS=AUX\|VerbForm=Inf`, `Case=Loc\|Gender=Masc\|Number=Sing\|POS=PROPN`, `Case=Nom\|Definite=Def\|Degree=Sup\|Gender=Fem\|Number=Sing\|POS=ADJ`, `Case=Nom\|Definite=Def\|Degree=Pos\|Gender=Neut\|Number=Sing\|POS=ADJ`, `Case=Gen\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Dem`, `Case=Ins\|Gender=Fem\|Number=Sing\|POS=NOUN`, `Case=Gen\|Definite=Def\|Degree=Pos\|Gender=Fem\|Number=Plur\|POS=ADJ`, `Case=Nom\|Gender=Masc\|Number=Sing\|Number[psor]=Plur\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Case=Nom\|Gender=Neut\|Gender[psor]=Fem\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Case=Nom\|Gender=Neut\|Number=Plur\|POS=DET\|PronType=Dem`, `Case=Nom\|Gender=Neut\|Number=Plur\|POS=NOUN`, `Case=Gen\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Dem`, `Case=Ins\|Degree=Pos\|Gender=Masc\|Number=Plur\|POS=ADJ`, `Case=Ins\|Gender=Masc\|Number=Plur\|POS=NOUN`, `Degree=Pos\|POS=DET\|PronType=Ind`, `Animacy=Inan\|Case=Acc\|Definite=Ind\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=ADJ`, `Case=Acc\|Definite=Def\|Degree=Pos\|Gender=Fem\|Number=Sing\|POS=ADJ\|Poss=Yes`, `Case=Nom\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs`, `Degree=Pos\|POS=ADV\|PronType=Neg`, `Animacy=Inan\|Case=Acc\|Gender=Masc\|NumType=Card\|Number=Sing\|POS=NUM`, `Case=Nom\|Gender=Masc\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Case=Acc\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs`, `Case=Gen\|Gender=Neut\|Number=Sing\|POS=PROPN`, `Case=Acc\|Gender=Masc\|Gender[psor]=Masc,Neut\|Number=Plur\|Number[psor]=Sing\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Case=Nom\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=NUM`, `Case=Dat\|Gender=Fem\|Number=Sing\|POS=PROPN`, `Degree=Cmp\|POS=DET`, `Case=Acc\|Gender=Neut\|Number=Sing\|POS=DET\|PronType=Dem`, `Case=Nom\|Gender=Fem\|NumType=Card\|Number=Sing\|POS=NUM`, `Case=Gen\|Definite=Def\|Degree=Sup\|Gender=Fem\|Number=Plur\|POS=ADJ`, `Case=Gen\|Gender=Masc\|Gender[psor]=Masc,Neut\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Case=Loc\|Definite=Def\|Degree=Pos\|Gender=Fem\|Number=Plur\|POS=ADJ`, `Case=Nom\|Definite=Def\|Degree=Pos\|Gender=Neut\|Number=Sing\|POS=ADJ\|VerbForm=Part\|Voice=Pass`, `Case=Ins\|Gender=Neut\|POS=PRON\|PronType=Int,Rel`, `Case=Nom\|Definite=Def\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=ADJ\|VerbForm=Part\|Voice=Pass`, `Case=Ins\|Definite=Def\|Degree=Pos\|Gender=Masc\|Number=Plur\|POS=ADJ`, `Case=Acc\|Definite=Def\|Degree=Pos\|Gender=Neut\|Number=Plur\|POS=ADJ`, `Mood=Cnd\|Number=Plur\|POS=AUX\|Person=3\|Tense=Past\|VerbForm=Fin`, `Case=Nom\|Degree=Pos\|Gender=Masc\|Number=Plur\|POS=NUM`, `Case=Nom\|Definite=Def\|Degree=Pos\|Gender=Masc\|Number=Plur\|POS=ADJ\|Poss=Yes`, `Case=Nom\|Gender=Fem\|Gender[psor]=Masc,Neut\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Case=Gen\|Definite=Def\|Degree=Pos\|Gender=Masc\|Number=Plur\|POS=DET`, `Case=Nom\|Gender=Masc\|Number=Plur\|POS=PRON\|Person=3\|PronType=Prs`, `Case=Dat\|Number=Plur\|POS=PRON\|Person=1\|PronType=Prs`, `Case=Nom\|Gender=Neut\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs`, `Case=Acc\|Definite=Def\|Degree=Pos\|Gender=Neut\|Number=Sing\|POS=ADJ`, `Case=Acc\|Gender=Neut\|Number=Sing\|POS=DET\|Poss=Yes\|PronType=Prs\|Reflex=Yes`, `Case=Gen\|Gender=Neut\|Number=Sing\|POS=DET\|PronType=Dem`, `Case=Nom\|Definite=Def\|Degree=Pos\|Gender=Neut\|Number=Plur\|POS=ADJ`, `Case=Loc\|Gender=Neut\|Number=Plur\|POS=DET\|Poss=Yes\|PronType=Prs\|Reflex=Yes`, `Case=Loc\|Gender=Neut\|Number=Plur\|POS=NOUN`, `Case=Nom\|Gender=Masc\|POS=PRON\|PronType=Neg`, `Case=Gen\|Gender=Fem\|Number=Sing\|POS=DET\|PronType=Tot`, `Mood=Cnd\|Number=Plur\|POS=AUX\|Person=1\|Tense=Past\|VerbForm=Fin`, `Animacy=Inan\|Case=Acc\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Dem`, `Case=Acc\|Definite=Def\|Degree=Cmp\|Gender=Fem\|Number=Sing\|POS=ADJ`, `Case=Nom\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Tot`, `Case=Dat\|Number=Sing\|POS=PRON\|Person=1\|PronType=Prs`, `Degree=Pos\|POS=ADV\|PronType=Int,Rel`, `Case=Loc\|Definite=Def\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=DET`, `Animacy=Inan\|Case=Acc\|Gender=Masc\|Number=Sing\|POS=PROPN`, `Case=Dat\|Definite=Def\|Degree=Cmp\|Gender=Fem\|Number=Sing\|POS=ADJ`, `Case=Voc\|Gender=Masc\|Number=Sing\|POS=NOUN`, `Case=Ins\|POS=PRON\|PronType=Prs\|Reflex=Yes`, `Case=Ins\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Dem`, `Case=Loc\|Gender=Neut\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Animacy=Inan\|Case=Acc\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Int,Rel`, `Case=Loc\|Definite=Def\|Degree=Pos\|Gender=Neut\|Number=Sing\|POS=ADJ`, `POS=ADJ`, `Case=Acc\|Gender=Fem\|Number=Sing\|POS=PROPN`, `Case=Acc\|Gender=Masc\|Gender[psor]=Fem\|Number=Plur\|Number[psor]=Sing\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Case=Ins\|Gender=Fem\|Number=Sing\|POS=PROPN`, `Case=Acc\|Degree=Pos\|Gender=Fem\|Number=Plur\|POS=NUM`, `Animacy=Inan\|Case=Acc\|Definite=Def\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=ADJ`, `Degree=Pos\|POS=ADV\|PronType=Tot`, `Case=Gen\|Gender=Masc\|Number=Sing\|POS=DET\|Poss=Yes\|PronType=Prs\|Reflex=Yes`, `Case=Gen\|Gender=Fem\|Number=Plur\|POS=DET\|PronType=Dem`, `Case=Loc\|Gender=Neut\|Number=Sing\|POS=DET\|PronType=Dem`, `Case=Nom\|Gender=Fem\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs`, `Case=Gen\|Gender=Fem\|Number=Plur\|Number[psor]=Plur\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Case=Gen\|Number=Plur\|POS=PRON\|Person=1\|PronType=Prs`, `Case=Gen\|Gender=Masc\|Number=Plur\|Number[psor]=Plur\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `POS=ADV`, `Case=Acc\|Gender=Masc\|Number=Plur\|POS=DET\|Poss=Yes\|PronType=Prs\|Reflex=Yes`, `Case=Acc\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Tot`, `Case=Nom\|Gender=Masc\|Number=Sing\|Number[psor]=Plur\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Case=Gen\|Degree=Pos\|Gender=Fem\|Number=Sing\|POS=ADJ`, `Case=Nom\|Gender=Fem\|Number=Sing\|POS=DET\|PronType=Tot`, `Case=Acc\|Gender=Fem\|Number=Plur\|POS=DET\|PronType=Dem`, `Case=Acc\|Gender=Fem\|Number=Sing\|Number[psor]=Plur\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Animacy=Inan\|Case=Acc\|Gender=Masc\|Gender[psor]=Fem\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Case=Nom\|Number=Plur\|POS=PRON\|Person=2\|PronType=Prs`, `Case=Loc\|Gender=Fem\|Number=Plur\|POS=DET\|PronType=Int,Rel`, `Case=Acc\|Number=Plur\|POS=PRON\|Person=1\|PronType=Prs`, `Case=Ins\|Gender=Neut\|Number=Sing\|POS=NOUN`, `Case=Gen\|Gender=Masc\|Number=Sing\|Number[psor]=Plur\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Mood=Ind\|Number=Plur\|POS=AUX\|Person=2\|Tense=Pres\|VerbForm=Fin`, `Case=Dat\|Definite=Def\|Degree=Pos\|Gender=Fem\|Number=Plur\|POS=ADJ`, `Case=Dat\|Gender=Fem\|Number=Plur\|POS=NOUN`, `Case=Loc\|Definite=Def\|Degree=Pos\|Gender=Neut\|Number=Plur\|POS=ADJ`, `Case=Nom\|Number=Sing\|POS=PRON\|Person=1\|PronType=Prs`, `Animacy=Inan\|Case=Acc\|Definite=Def\|Degree=Cmp\|Gender=Masc\|Number=Sing\|POS=ADJ`, `Case=Nom\|Gender=Neut\|POS=PRON\|PronType=Ind`, `Case=Loc\|Gender=Neut\|POS=PRON\|PronType=Int,Rel`, `Mood=Cnd\|Number=Sing\|POS=AUX\|Person=1\|Tense=Past\|VerbForm=Fin`, `Case=Loc\|Gender=Masc\|Number=Sing\|POS=DET\|Poss=Yes\|PronType=Prs\|Reflex=Yes`, `Case=Acc\|Number=Plur\|POS=PRON\|Person=3\|PronType=Prs`, `Mood=Ind\|Number=Plur\|POS=AUX\|Person=1\|Polarity=Neg\|Tense=Pres\|VerbForm=Fin`, `Case=Gen\|Gender=Fem\|Number=Sing\|POS=DET\|PronType=Dem`, `Case=Nom\|Definite=Def\|Degree=Cmp\|Gender=Neut\|Number=Sing\|POS=ADJ`, `NumType=Ord\|POS=ADJ`, `Gender=Fem\|Number=Plur\|POS=VERB\|Tense=Past\|VerbForm=Part\|Voice=Act`, `Gender=Masc\|Number=Plur\|POS=AUX\|Tense=Past\|VerbForm=Part\|Voice=Act`, `Case=Nom\|Definite=Def\|Degree=Pos\|Gender=Fem\|Number=Plur\|POS=ADJ`, `Case=Nom\|Gender=Neut\|Number=Sing\|Number[psor]=Plur\|POS=DET\|Person=2\|Poss=Yes\|PronType=Prs`, `Case=Loc\|Number=Plur\|POS=PRON\|Person=2\|PronType=Prs`, `Case=Nom\|Definite=Def\|Degree=Cmp\|Gender=Fem\|Number=Sing\|POS=ADJ`, `Case=Nom\|Definite=Def\|Degree=Pos\|Gender=Masc\|Number=Plur\|POS=DET`, `Case=Nom\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Dem`, `Animacy=Inan\|Case=Acc\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=NUM`, `Case=Loc\|Definite=Def\|Degree=Pos\|Gender=Masc\|Number=Plur\|POS=ADJ\|VerbForm=Part\|Voice=Pass`, `Case=Loc\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Int,Rel`, `Case=Nom\|Gender=Fem\|Number=Sing\|POS=DET\|PronType=Dem`, `Case=Dat\|Gender=Masc\|POS=PRON\|PronType=Neg`, `Animacy=Anim\|Case=Acc\|Gender=Masc\|Number=Sing\|POS=DET\|Poss=Yes\|PronType=Prs\|Reflex=Yes`, `Case=Nom\|Definite=Def\|Degree=Pos\|Gender=Neut\|Number=Plur\|POS=ADJ\|VerbForm=Part\|Voice=Pass`, `Case=Ins\|Gender=Fem\|Number=Sing\|POS=DET\|PronType=Int,Rel`, `Case=Dat\|Gender=Neut\|Number=Sing\|POS=NOUN`, `Case=Acc\|Gender=Neut\|Number=Sing\|Number[psor]=Plur\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Case=Dat\|POS=ADP`, `Degree=Sup\|POS=ADV`, `Case=Ins\|Definite=Def\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=ADJ\|VerbForm=Part\|Voice=Pass`, `Case=Acc\|Gender=Fem\|Number=Plur\|POS=DET\|PronType=Int,Rel`, `Case=Gen\|Definite=Ind\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=ADJ`, `Case=Dat\|Gender=Fem\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs`, `Degree=Pos\|POS=DET`, `Case=Dat\|Gender=Fem\|Number=Sing\|POS=DET\|PronType=Dem`, `Case=Gen\|Gender=Neut\|Number=Plur\|POS=DET\|PronType=Int,Rel`, `Case=Loc\|Gender=Fem\|Gender[psor]=Masc,Neut\|Number=Plur\|Number[psor]=Sing\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Case=Nom\|Gender=Neut\|NumType=Card\|Number=Plur\|POS=NUM`, `Degree=Pos\|POS=ADV\|PronType=Ind`, `Case=Nom\|Gender=Neut\|Number=Sing\|POS=DET\|PronType=Tot`, `Case=Loc\|Gender=Neut\|Number=Sing\|POS=DET\|PronType=Tot`, `Case=Loc\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Ind`, `Case=Gen\|Definite=Def\|Degree=Sup\|Gender=Neut\|Number=Plur\|POS=ADJ`, `Case=Loc\|Number=Plur\|POS=PRON\|Person=3\|PronType=Prs`, `Case=Acc\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Ind`, `POS=PROPN`, `Case=Nom\|Gender=Masc\|Number=Plur\|POS=PROPN`, `Case=Acc\|Gender=Fem\|Number=Sing\|POS=DET\|PronType=Dem`, `Mood=Ind\|Number=Plur\|POS=VERB\|Person=1\|Tense=Fut\|VerbForm=Fin`, `Case=Acc\|Definite=Def\|Degree=Cmp\|Gender=Fem\|Number=Plur\|POS=ADJ`, `Case=Gen\|Degree=Pos\|Gender=Fem\|Number=Plur\|POS=ADJ`, `Case=Nom\|Gender=Fem\|Number=Plur\|POS=DET\|PronType=Ind`, `Case=Gen\|Definite=Def\|Degree=Pos\|Gender=Masc\|Number=Plur\|POS=ADJ\|Poss=Yes`, `POS=ADV\|Tense=Pres\|VerbForm=Conv`, `Case=Acc\|Gender=Fem\|NumType=Card\|Number=Plur\|POS=NUM`, `Case=Nom\|Gender=Fem\|Number=Plur\|POS=PROPN`, `Case=Nom\|Degree=Pos\|Gender=Neut\|Number=Sing\|POS=ADJ`, `Case=Nom\|Degree=Pos\|Gender=Fem\|Number=Sing\|POS=NUM`, `Case=Gen\|Definite=Def\|Degree=Pos\|Gender=Masc\|Number=Plur\|POS=ADJ\|VerbForm=Part\|Voice=Pass`, `Case=Nom\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=ADJ`, `Case=Acc\|Degree=Pos\|Gender=Neut\|Number=Plur\|POS=ADJ`, `Case=Nom\|Gender=Neut\|Number=Sing\|POS=PROPN`, `Case=Loc\|Gender=Fem\|Number=Sing\|POS=DET\|PronType=Int,Rel`, `Case=Nom\|Definite=Def\|Degree=Cmp\|Gender=Masc\|Number=Plur\|POS=ADJ`, `Case=Nom\|Gender=Fem\|NumType=Mult\|POS=NUM`, `Case=Ins\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Int,Rel`, `Case=Loc\|Gender=Neut\|Number=Sing\|Number[psor]=Plur\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Case=Nom\|Gender=Neut\|Number=Plur\|POS=DET\|PronType=Int,Rel`, `Animacy=Inan\|Case=Acc\|Gender=Masc\|Number=Sing\|Number[psor]=Plur\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Case=Gen\|Gender=Masc\|NumType=Card\|Number=Sing\|POS=NUM`, `Case=Ins\|Definite=Def\|Degree=Pos\|Gender=Fem\|Number=Sing\|POS=ADJ`, `Case=Ins\|Gender=Fem\|Number=Sing\|POS=DET\|PronType=Dem`, `Case=Dat\|Definite=Def\|Degree=Pos\|Gender=Masc\|Number=Plur\|POS=DET`, `Case=Ins\|Definite=Def\|Degree=Pos\|Gender=Fem\|Number=Plur\|POS=ADJ`, `Animacy=Anim\|Case=Acc\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Ind`, `Case=Acc\|Definite=Def\|Degree=Pos\|Gender=Masc\|Number=Plur\|POS=ADJ\|VerbForm=Part\|Voice=Pass`, `Case=Gen\|Definite=Def\|Degree=Cmp\|Gender=Masc\|Number=Plur\|POS=ADJ`, `Case=Dat\|Definite=Def\|Degree=Pos\|Gender=Masc\|Number=Plur\|POS=ADJ`, `Case=Acc\|Gender=Fem\|Number=Sing\|POS=DET\|PronType=Int,Rel`, `Case=Loc\|Gender=Neut\|Number=Sing\|POS=DET\|PronType=Int,Rel`, `Case=Gen\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Int,Rel`, `Case=Gen\|Gender=Fem\|Number=Sing\|Number[psor]=Plur\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Case=Gen\|Definite=Def\|Degree=Pos\|Gender=Neut\|Number=Plur\|POS=ADJ`, `Case=Nom\|Definite=Def\|Degree=Cmp\|Gender=Masc\|Number=Sing\|POS=ADJ`, `Case=Nom\|Gender=Masc\|POS=PRON\|PronType=Int,Rel`, `Case=Gen\|Gender=Fem\|Number=Plur\|POS=DET\|PronType=Tot`, `Case=Gen\|Definite=Def\|Degree=Pos\|Gender=Fem\|Number=Plur\|POS=ADJ\|VerbForm=Part\|Voice=Pass`, `Mood=Ind\|Number=Plur\|POS=VERB\|Person=3\|Tense=Fut\|VerbForm=Fin`, `Case=Gen\|Definite=Def\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=ADJ\|VerbForm=Part\|Voice=Pass`, `Case=Gen\|Definite=Def\|Degree=Pos\|Gender=Fem\|Number=Plur\|POS=ADJ\|Poss=Yes`, `Case=Acc\|Gender=Neut\|Number=Plur\|POS=DET\|PronType=Dem`, `Case=Gen\|Definite=Def\|Degree=Pos\|Gender=Fem\|Number=Sing\|POS=ADJ\|VerbForm=Part\|Voice=Pass`, `Case=Loc\|Definite=Def\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=ADJ\|VerbForm=Part\|Voice=Pass`, `Case=Dat\|Gender=Fem\|Number=Plur\|Number[psor]=Plur\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Case=Ins\|Definite=Def\|Degree=Pos\|Gender=Neut\|Number=Plur\|POS=ADJ`, `Case=Ins\|Gender=Neut\|Number=Plur\|POS=NOUN`, `Case=Gen\|Definite=Def\|Degree=Cmp\|Gender=Neut\|Number=Sing\|POS=ADJ`, `Case=Gen\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=NUM`, `Gender=Fem\|Number=Plur\|POS=AUX\|Tense=Past\|VerbForm=Part\|Voice=Act`, `Case=Nom\|Degree=Pos\|Gender=Fem\|Number=Plur\|POS=ADJ`, `Case=Ins\|Gender=Masc\|NumType=Card\|Number=Sing\|POS=NUM`, `Case=Ins\|Definite=Def\|Degree=Pos\|Gender=Neut\|Number=Sing\|POS=ADJ`, `Case=Loc\|Degree=Pos\|Gender=Fem\|Number=Plur\|POS=ADJ`, `Case=Dat\|Gender=Neut\|Number=Sing\|POS=DET\|PronType=Dem`, `Case=Ins\|Gender=Masc\|Number=Sing\|POS=DET\|Poss=Yes\|PronType=Prs\|Reflex=Yes`, `Case=Loc\|Definite=Def\|Degree=Cmp\|Gender=Neut\|Number=Plur\|POS=ADJ`, `Case=Gen\|Degree=Pos\|Gender=Masc\|Number=Plur\|POS=NUM`, `Case=Gen\|Definite=Def\|Degree=Pos\|Gender=Neut\|Number=Sing\|POS=ADJ\|Poss=Yes`, `Case=Acc\|Definite=Def\|Degree=Cmp\|Gender=Neut\|Number=Sing\|POS=ADJ`, `Case=Ins\|Degree=Pos\|Gender=Fem\|Number=Plur\|POS=ADJ`, `Case=Gen\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Tot`, `Case=Gen\|Definite=Def\|Degree=Pos\|Gender=Neut\|Number=Sing\|POS=ADJ\|VerbForm=Part\|Voice=Pass`, `Case=Gen\|Degree=Pos\|Gender=Fem\|Number=Plur\|POS=NUM`, `Case=Ins\|Gender=Fem\|NumType=Card\|Number=Sing\|POS=NUM`, `Case=Acc\|Gender=Fem\|Number=Sing\|POS=DET\|Poss=Yes\|PronType=Prs\|Reflex=Yes`, `Case=Nom\|Gender=Fem\|Number=Plur\|POS=DET\|PronType=Dem`, `Case=Gen\|Gender=Fem\|Number=Sing\|POS=DET\|Poss=Yes\|PronType=Prs\|Reflex=Yes`, `Case=Nom\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Tot`, `Case=Gen\|Number=Plur\|POS=PRON\|Person=3\|PronType=Prs`, `Mood=Ind\|Number=Sing\|POS=AUX\|Person=3\|Tense=Fut\|VerbForm=Fin`, `Case=Nom\|Definite=Def\|Degree=Pos\|Gender=Fem\|Number=Plur\|POS=ADJ\|Poss=Yes`, `Case=Nom\|Definite=Def\|Degree=Sup\|Gender=Masc\|Number=Sing\|POS=ADJ`, `Mood=Ind\|Number=Plur\|POS=AUX\|Person=3\|Tense=Fut\|VerbForm=Fin`, `Case=Nom\|Degree=Pos\|Gender=Neut\|Number=Sing\|POS=NUM`, `Mood=Imp\|Number=Plur\|POS=VERB\|Person=2\|VerbForm=Fin`, `Case=Ins\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Int,Rel`, `Case=Gen\|Gender=Neut\|Gender[psor]=Masc,Neut\|Number=Plur\|Number[psor]=Sing\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Case=Ins\|Gender=Neut\|Number=Sing\|POS=DET\|PronType=Dem`, `Case=Acc\|Degree=Pos\|Gender=Fem\|Number=Sing\|POS=NUM`, `Case=Gen\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Int,Rel`, `Gender=Neut\|Number=Plur\|POS=AUX\|Tense=Past\|VerbForm=Part\|Voice=Act`, `Case=Ins\|Definite=Def\|Degree=Pos\|Gender=Neut\|Number=Plur\|POS=ADJ\|VerbForm=Part\|Voice=Pass`, `Case=Loc\|Gender=Fem\|Number=Sing\|POS=DET\|PronType=Ind`, `Case=Ins\|Definite=Def\|Degree=Pos\|Gender=Fem\|Number=Sing\|POS=ADJ\|VerbForm=Part\|Voice=Pass`, `Case=Loc\|Degree=Pos\|Gender=Fem\|Number=Sing\|POS=NUM`, `Case=Gen\|Gender=Masc\|Number=Plur\|POS=PROPN`, `Case=Dat\|Definite=Def\|Degree=Pos\|Gender=Neut\|Number=Plur\|POS=ADJ`, `Case=Dat\|Gender=Neut\|Number=Plur\|POS=NOUN`, `Case=Nom\|Gender=Fem\|Number=Plur\|POS=PRON\|Person=3\|PronType=Prs`, `Case=Nom\|Definite=Def\|Degree=Sup\|Gender=Neut\|Number=Sing\|POS=ADJ`, `Case=Nom\|Gender=Neut\|Number=Sing\|POS=DET\|Poss=Yes\|PronType=Ind`, `POS=NOUN`, `Case=Nom\|Gender=Fem\|Number=Sing\|POS=DET\|Poss=Yes\|PronType=Int,Rel`, `Case=Acc\|Gender=Fem\|Number=Plur\|POS=DET\|Poss=Yes\|PronType=Prs\|Reflex=Yes`, `Case=Acc\|Gender=Neut\|Number=Plur\|POS=DET\|PronType=Int,Rel`, `Gender=Neut\|Number=Plur\|POS=VERB\|Tense=Past\|VerbForm=Part\|Voice=Act`, `Case=Gen\|Gender=Fem\|Gender[psor]=Fem\|Number=Plur\|Number[psor]=Sing\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Case=Acc\|Gender=Fem\|Number=Plur\|POS=DET\|PronType=Ind`, `Case=Loc\|Definite=Def\|Degree=Pos\|Gender=Neut\|Number=Sing\|POS=ADJ\|VerbForm=Part\|Voice=Pass`, `Case=Nom\|Gender=Fem\|Number=Sing\|Number[psor]=Plur\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `NumType=Mult\|POS=NUM`, `Case=Nom\|Gender=Masc\|Gender[psor]=Fem\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Case=Gen\|Gender=Fem\|Number=Plur\|POS=PROPN`, `Case=Acc\|Degree=Pos\|Gender=Neut\|Number=Sing\|POS=NUM`, `Case=Acc\|Gender=Masc\|NumType=Card\|Number=Plur\|POS=NUM`, `Case=Loc\|Gender=Masc\|Gender[psor]=Masc,Neut\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Case=Loc\|Definite=Def\|Degree=Pos\|Gender=Fem\|Number=Sing\|POS=ADJ\|VerbForm=Part\|Voice=Pass`, `Case=Acc\|Gender=Neut\|Number=Plur\|POS=DET\|Poss=Yes\|PronType=Prs\|Reflex=Yes`, `Case=Acc\|Definite=Def\|Degree=Pos\|Gender=Neut\|Number=Plur\|POS=ADJ\|VerbForm=Part\|Voice=Pass`, `Case=Ins\|Gender=Masc\|Number=Plur\|POS=PROPN`, `Case=Acc\|Gender=Fem\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs`, `Case=Nom\|Gender=Neut\|NumType=Card\|Number=Sing\|POS=NUM`, `Case=Acc\|Gender=Neut\|Number=Sing\|POS=PROPN`, `Animacy=Inan\|Case=Acc\|Definite=Ind\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=ADJ\|VerbForm=Part\|Voice=Pass`, `Case=Loc\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=NUM`, `Case=Dat\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs`, `Case=Gen\|Gender=Neut\|Number=Sing\|POS=DET\|Poss=Yes\|PronType=Prs\|Reflex=Yes`, `Case=Acc\|Gender=Masc\|Number=Plur\|Number[psor]=Plur\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Case=Acc\|Definite=Def\|Degree=Sup\|Gender=Fem\|Number=Sing\|POS=ADJ`, `Case=Gen\|Degree=Pos\|Gender=Masc\|Number=Plur\|POS=ADJ`, `Case=Acc\|Gender=Masc\|Number=Plur\|POS=PROPN`, `Case=Dat\|Gender=Fem\|Number=Sing\|Number[psor]=Plur\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Case=Dat\|Gender=Masc\|Number=Plur\|POS=DET\|Poss=Yes\|PronType=Prs\|Reflex=Yes`, `Case=Acc\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Dem`, `Case=Gen\|Definite=Def\|Degree=Cmp\|Gender=Fem\|Number=Sing\|POS=ADJ`, `Case=Acc\|Gender=Fem\|Gender[psor]=Masc,Neut\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Case=Acc\|Gender=Neut\|POS=PRON\|PronType=Neg`, `Case=Dat\|Gender=Masc\|Number=Plur\|Number[psor]=Plur\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Case=Acc\|Gender=Fem\|NumType=Card\|Number=Sing\|POS=NUM`, `Case=Dat\|Definite=Def\|Degree=Cmp\|Gender=Masc\|Number=Sing\|POS=ADJ`, `Case=Gen\|Definite=Def\|Degree=Pos\|Gender=Neut\|Number=Plur\|POS=ADJ\|VerbForm=Part\|Voice=Pass`, `Case=Nom\|Gender=Masc\|Gender[psor]=Masc,Neut\|Number=Plur\|Number[psor]=Sing\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Case=Gen\|Gender=Fem\|Number=Sing\|Number[psor]=Plur\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Case=Nom\|Gender=Fem\|Number=Sing\|Number[psor]=Plur\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Case=Gen\|Gender=Fem\|Number=Sing\|POS=DET\|PronType=Ind`, `Case=Loc\|Gender=Neut\|Number=Plur\|POS=DET\|PronType=Int,Rel`, `Case=Dat\|Definite=Def\|Degree=Pos\|Gender=Neut\|Number=Sing\|POS=ADJ`, `Case=Gen\|Definite=Def\|Degree=Pos\|Gender=Fem\|Number=Sing\|POS=ADJ\|Poss=Yes`, `Case=Gen\|Gender=Fem\|Gender[psor]=Masc,Neut\|Number=Plur\|Number[psor]=Sing\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Animacy=Anim\|Case=Acc\|Definite=Def\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=ADJ\|VerbForm=Part\|Voice=Pass`, `Case=Gen\|Gender=Fem\|NumType=Card\|Number=Sing\|POS=NUM`, `Case=Dat\|Gender=Masc\|NumType=Card\|Number=Sing\|POS=NUM`, `Case=Loc\|Definite=Def\|Degree=Pos\|Gender=Fem\|Number=Sing\|POS=NUM`, `Case=Acc\|Gender=Neut\|POS=PRON\|PronType=Int,Rel`, `Case=Dat\|Gender=Masc\|POS=PRON\|PronType=Int,Rel`, `Case=Nom\|Gender=Fem\|Gender[psor]=Fem\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Case=Ins\|Gender=Fem\|Number=Plur\|POS=DET\|PronType=Int,Rel`, `Case=Acc\|Gender=Neut\|Number=Plur\|Number[psor]=Plur\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Case=Nom\|Gender=Masc\|Gender[psor]=Fem\|Number=Plur\|Number[psor]=Sing\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Case=Gen\|Gender=Neut\|Number=Plur\|POS=DET\|PronType=Ind`, `Case=Gen\|Gender=Masc\|Number=Plur\|POS=DET\|Poss=Yes\|PronType=Prs\|Reflex=Yes`, `Case=Acc\|Gender=Neut\|Number=Sing\|POS=DET\|PronType=Int,Rel`, `Case=Gen\|Definite=Def\|Degree=Pos\|Gender=Neut\|Number=Plur\|POS=DET`, `Case=Dat\|Gender=Neut\|Number=Sing\|POS=PROPN`, `Case=Nom\|Gender=Fem\|Number=Plur\|POS=DET\|PronType=Tot`, `Case=Dat\|Gender=Masc\|Number=Plur\|POS=PROPN`, `Case=Nom\|Degree=Pos\|Gender=Fem\|Number=Plur\|POS=NUM`, `Case=Loc\|Degree=Pos\|Gender=Neut\|Number=Sing\|POS=NUM`, `Case=Nom\|Gender=Neut\|Number=Plur\|POS=PROPN`, `Case=Loc\|Definite=Def\|Degree=Pos\|Gender=Fem\|Number=Sing\|POS=DET`, `Case=Gen\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Tot`, `Animacy=Inan\|Case=Acc\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Tot`, `Case=Gen\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Ind`, `Case=Acc\|Gender=Fem\|Number=Sing\|Number[psor]=Plur\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Mood=Ind\|Number=Sing\|POS=AUX\|Person=1\|Polarity=Neg\|Tense=Pres\|VerbForm=Fin`, `Case=Acc\|Number=Sing\|POS=PRON\|Person=1\|PronType=Prs`, `Case=Gen\|Gender=Masc\|Number=Plur\|Number[psor]=Sing\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Case=Gen\|Gender=Masc\|Number=Sing\|Number[psor]=Plur\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Case=Acc\|Degree=Pos\|Gender=Fem\|Number=Plur\|POS=ADJ`, `Case=Gen\|Gender=Masc\|Gender[psor]=Fem\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Case=Dat\|Gender=Fem\|Number=Sing\|POS=DET\|PronType=Int,Rel`, `Case=Gen\|Gender=Neut\|Number=Sing\|Number[psor]=Plur\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Case=Dat\|Degree=Pos\|Gender=Masc\|Number=Plur\|POS=ADJ`, `Case=Loc\|Definite=Def\|Degree=Cmp\|Gender=Masc\|Number=Sing\|POS=ADJ`, `Case=Gen\|Gender=Masc\|Gender[psor]=Masc,Neut\|Number=Plur\|Number[psor]=Sing\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Case=Acc\|Gender=Fem\|Number=Plur\|POS=DET\|PronType=Tot`, `Degree=Pos\|POS=DET\|PronType=Int,Rel`, `Case=Gen\|Gender=Fem\|Number=Plur\|POS=DET\|PronType=Int,Rel`, `Case=Dat\|Gender=Fem\|NumType=Card\|Number=Sing\|POS=NUM`, `Case=Gen\|Gender=Neut\|Number=Plur\|POS=DET\|Poss=Yes\|PronType=Prs\|Reflex=Yes`, `Case=Acc\|Gender=Neut\|Gender[psor]=Fem\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Case=Acc\|Definite=Def\|Degree=Pos\|Gender=Masc\|Number=Plur\|POS=DET`, `Case=Ins\|Degree=Pos\|Gender=Neut\|Number=Sing\|POS=NUM`, `Degree=Sup\|POS=DET`, `Case=Gen\|Degree=Pos\|Gender=Fem\|Number=Sing\|POS=NUM`, `Case=Loc\|Gender=Masc\|NumType=Card\|Number=Sing\|POS=NUM`, `Case=Acc\|Gender=Fem\|Number=Plur\|Number[psor]=Plur\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Animacy=Inan\|Case=Acc\|Definite=Def\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=ADJ\|VerbForm=Part\|Voice=Pass`, `Case=Loc\|Degree=Pos\|Gender=Fem\|Number=Sing\|POS=ADJ`, `Case=Loc\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs`, `Case=Acc\|Degree=Pos\|Gender=Fem\|Number=Sing\|POS=ADJ`, `Animacy=Inan\|Case=Acc\|Definite=Def\|Degree=Sup\|Gender=Masc\|Number=Sing\|POS=ADJ`, `Animacy=Anim\|Case=Acc\|Definite=Def\|Degree=Sup\|Gender=Masc\|Number=Sing\|POS=ADJ`, `Case=Ins\|Gender=Fem\|Number=Sing\|POS=DET\|Poss=Yes\|PronType=Prs\|Reflex=Yes`, `Case=Dat\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Int,Rel`, `Case=Loc\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Int,Rel`, `Case=Gen\|Gender=Neut\|Number=Sing\|POS=DET\|PronType=Tot`, `Animacy=Anim\|Case=Acc\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Tot`, `Case=Acc\|Gender=Neut\|Number=Plur\|POS=DET\|PronType=Tot`, `Case=Nom\|Gender=Masc\|Number=Plur\|Number[psor]=Plur\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Case=Ins\|Definite=Def\|Degree=Pos\|Gender=Fem\|Number=Plur\|POS=ADJ\|VerbForm=Part\|Voice=Pass`, `Case=Loc\|POS=PRON\|PronType=Prs\|Reflex=Yes`, `Case=Loc\|Definite=Def\|Degree=Sup\|Gender=Masc\|Number=Sing\|POS=ADJ`, `Case=Ins\|Definite=Def\|Degree=Cmp\|Gender=Masc\|Number=Plur\|POS=ADJ`, `Case=Loc\|Definite=Def\|Degree=Cmp\|Gender=Fem\|Number=Sing\|POS=ADJ`, `Case=Gen\|Gender=Neut\|Number=Sing\|POS=DET\|Poss=Yes\|PronType=Ind`, `Case=Loc\|Gender=Fem\|Number=Plur\|POS=DET\|PronType=Ind`, `Case=Nom\|Gender=Neut\|Number=Plur\|POS=PRON\|Person=3\|PronType=Prs`, `Case=Ins\|Gender=Neut\|Number=Sing\|POS=PROPN`, `Case=Loc\|Definite=Def\|Degree=Sup\|Gender=Masc\|Number=Plur\|POS=ADJ`, `Case=Loc\|Gender=Masc\|Number=Plur\|POS=DET\|Poss=Yes\|PronType=Prs\|Reflex=Yes`, `Case=Nom\|Gender=Masc\|POS=PRON\|PronType=Tot`, `Case=Nom\|Gender=Masc\|NumType=Card\|Number=Plur\|POS=NUM`, `Case=Dat\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Dem`, `Case=Loc\|Gender=Neut\|Number=Sing\|Number[psor]=Plur\|POS=DET\|Person=2\|Poss=Yes\|PronType=Prs`, `Case=Acc\|Gender=Fem\|NumType=Mult\|POS=NUM`, `Case=Nom\|Definite=Def\|Degree=Sup\|Gender=Masc\|Number=Plur\|POS=ADJ`, `Case=Loc\|Gender=Fem\|NumType=Mult\|POS=NUM`, `Case=Gen\|Gender=Fem\|Number=Plur\|Number[psor]=Plur\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Animacy=Inan\|Case=Acc\|Definite=Ind\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=ADJ\|Poss=Yes`, `Case=Ins\|Number=Plur\|POS=PRON\|Person=3\|PronType=Prs`, `Case=Nom\|Gender=Masc\|Number=Plur\|Number[psor]=Plur\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Case=Gen\|Gender=Fem\|Number=Sing\|POS=DET\|PronType=Int,Rel`, `Case=Nom\|Gender=Neut\|POS=PRON\|PronType=Neg`, `Case=Dat\|Gender=Neut\|Number=Plur\|POS=DET\|PronType=Tot`, `Case=Nom\|Definite=Def\|Degree=Pos\|Gender=Fem\|Number=Sing\|POS=DET`, `Case=Loc\|Gender=Fem\|Number=Sing\|Number[psor]=Plur\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Animacy=Anim\|Case=Acc\|Gender=Masc\|Number=Sing\|POS=PRON\|PronType=Neg`, `Case=Nom\|Gender=Fem\|Number=Plur\|Number[psor]=Plur\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Case=Ins\|Gender=Masc\|Number=Plur\|POS=DET\|Poss=Yes\|PronType=Prs\|Reflex=Yes`, `Case=Dat\|Gender=Fem\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Case=Gen\|Gender=Neut\|Number=Plur\|POS=DET\|PronType=Dem`, `Case=Ins\|Definite=Def\|Degree=Pos\|Gender=Masc\|Number=Plur\|POS=ADJ\|VerbForm=Part\|Voice=Pass`, `Animacy=Inan\|Case=Acc\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=ADJ`, `Case=Loc\|Gender=Fem\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs`, `Case=Loc\|Degree=Pos\|Gender=Neut\|Number=Plur\|POS=ADJ`, `Case=Loc\|Definite=Def\|Degree=Cmp\|Gender=Neut\|Number=Sing\|POS=ADJ`, `Case=Nom\|Definite=Def\|Degree=Sup\|Gender=Neut\|Number=Plur\|POS=ADJ`, `Case=Dat\|Gender=Neut\|Number=Plur\|POS=DET\|PronType=Dem`, `Case=Dat\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Ind`, `Case=Gen\|Definite=Def\|Degree=Cmp\|Gender=Masc\|Number=Sing\|POS=ADJ`, `Case=Acc\|Definite=Def\|Degree=Sup\|Gender=Fem\|Number=Plur\|POS=ADJ`, `Case=Acc\|Gender=Neut\|POS=PRON\|PronType=Ind`, `Case=Dat\|Definite=Def\|Degree=Pos\|Gender=Fem\|Number=Sing\|POS=ADJ\|Poss=Yes`, `Case=Gen\|Definite=Def\|Degree=Sup\|Gender=Masc\|Number=Sing\|POS=ADJ`, `Case=Acc\|Gender=Masc\|POS=PRON\|PronType=Int,Rel`, `Case=Loc\|Degree=Pos\|Gender=Masc\|Number=Plur\|POS=NUM`, `Case=Ins\|Gender=Fem\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs`, `Case=Ins\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs`, `Case=Loc\|Gender=Neut\|Number=Plur\|POS=DET\|PronType=Tot`, `Case=Ins\|Definite=Def\|Degree=Sup\|Gender=Neut\|Number=Sing\|POS=ADJ`, `Case=Dat\|Definite=Def\|Degree=Sup\|Gender=Masc\|Number=Plur\|POS=ADJ`, `Mood=Ind\|Number=Sing\|POS=VERB\|Person=3\|Tense=Past\|VerbForm=Fin`, `Case=Dat\|Definite=Def\|Degree=Cmp\|Gender=Neut\|Number=Sing\|POS=ADJ`, `Case=Acc\|Definite=Def\|Degree=Sup\|Gender=Neut\|Number=Plur\|POS=ADJ`, `Case=Gen\|Gender=Fem\|NumType=Card\|Number=Plur\|POS=NUM`, `Case=Loc\|Gender=Fem\|Number=Plur\|Number[psor]=Sing\|POS=DET\|Person=2\|Poss=Yes\|PronType=Prs`, `Case=Dat\|Gender=Masc\|Number=Plur\|Number[psor]=Plur\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Case=Ins\|Gender=Fem\|NumType=Mult\|POS=NUM`, `Case=Nom\|Gender=Fem\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Case=Acc\|Gender=Fem\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Case=Nom\|Gender=Masc\|POS=PRON\|PronType=Ind`, `Case=Ins\|Gender=Fem\|Number=Plur\|POS=DET\|PronType=Tot`, `Case=Dat\|Number=Plur\|POS=PRON\|Person=3\|PronType=Prs`, `Case=Gen\|Gender=Neut\|Number=Sing\|POS=DET\|PronType=Int,Rel`, `Case=Loc\|Gender=Masc\|Number=Plur\|Number[psor]=Plur\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Case=Acc\|Definite=Def\|Degree=Pos\|Gender=Masc\|Number=Plur\|POS=ADJ\|Poss=Yes`, `Case=Loc\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Dem`, `Case=Loc\|Gender=Masc\|Number=Plur\|Number[psor]=Plur\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Case=Acc\|Definite=Def\|Degree=Pos\|Gender=Neut\|Number=Sing\|POS=ADJ\|Poss=Yes`, `Case=Acc\|Definite=Def\|Degree=Pos\|Gender=Fem\|Number=Sing\|POS=ADJ\|VerbForm=Part\|Voice=Pass`, `Case=Ins\|Gender=Neut\|Number=Sing\|POS=DET\|PronType=Int,Rel`, `Case=Dat\|POS=PRON\|PronType=Prs\|Reflex=Yes`, `Case=Nom\|Gender=Fem\|Number=Sing\|POS=DET\|PronType=Ind`, `Case=Dat\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Tot`, `Case=Loc\|Gender=Fem\|NumType=Card\|Number=Sing\|POS=NUM`, `Case=Ins\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Tot`, `Case=Loc\|Degree=Pos\|Gender=Fem\|Number=Plur\|POS=NUM`, `Case=Ins\|Definite=Def\|Degree=Sup\|Gender=Fem\|Number=Plur\|POS=ADJ`, `Case=Ins\|Gender=Fem\|Number=Plur\|POS=DET\|PronType=Ind`, `Case=Ins\|Degree=Pos\|Gender=Fem\|Number=Plur\|POS=NUM`, `Case=Acc\|Gender=Neut\|NumType=Card\|Number=Sing\|POS=NUM`, `Case=Loc\|Gender=Fem\|Number=Plur\|POS=DET\|Poss=Yes\|PronType=Prs\|Reflex=Yes`, `Case=Loc\|Definite=Def\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=ADJ\|Poss=Yes`, `Case=Dat\|Gender=Masc\|Gender[psor]=Fem\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Case=Nom\|Definite=Def\|Degree=Pos\|Gender=Neut\|Number=Sing\|POS=ADJ\|Poss=Yes`, `Case=Nom\|Gender=Masc\|Number=Plur\|POS=DET\|Poss=Yes\|PronType=Int,Rel`, `Case=Ins\|Definite=Def\|Degree=Sup\|Gender=Fem\|Number=Sing\|POS=ADJ`, `Mood=Imp\|Number=Plur\|POS=VERB\|Person=1\|VerbForm=Fin`, `Case=Nom\|Gender=Neut\|Number=Sing\|Number[psor]=Plur\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Case=Loc\|Gender=Fem\|Gender[psor]=Masc,Neut\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Case=Acc\|Degree=Pos\|Gender=Neut\|Number=Sing\|POS=ADJ`, `Case=Gen\|Gender=Fem\|Gender[psor]=Masc,Neut\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Case=Ins\|Gender=Fem\|Number=Plur\|POS=DET\|Poss=Yes\|PronType=Prs\|Reflex=Yes`, `Case=Dat\|Degree=Pos\|Gender=Fem\|Number=Sing\|POS=ADJ`, `Case=Dat\|Gender=Fem\|Number=Plur\|POS=DET\|PronType=Int,Rel`, `Case=Gen\|Gender=Neut\|POS=PRON\|PronType=Int,Rel`, `Case=Dat\|Degree=Pos\|Gender=Fem\|Number=Plur\|POS=NUM`, `Case=Gen\|Definite=Def\|Degree=Cmp\|Gender=Fem\|Number=Plur\|POS=ADJ`, `Case=Ins\|Gender=Fem\|Gender[psor]=Fem\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Case=Dat\|Definite=Def\|Degree=Pos\|Gender=Fem\|Number=Sing\|POS=NUM`, `Case=Loc\|Gender=Fem\|Gender[psor]=Fem\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Case=Loc\|Definite=Def\|Degree=Pos\|Gender=Neut\|Number=Sing\|POS=ADJ\|Poss=Yes`, `Case=Dat\|Definite=Def\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=ADJ\|VerbForm=Part\|Voice=Pass`, `Case=Gen\|Degree=Pos\|Gender=Neut\|Number=Sing\|POS=NUM`, `Case=Ins\|Degree=Pos\|Gender=Masc\|Number=Plur\|POS=NUM`, `Case=Nom\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Ind`, `Case=Ins\|Degree=Pos\|Gender=Fem\|Number=Sing\|POS=NUM`, `Case=Ins\|Definite=Def\|Degree=Cmp\|Gender=Fem\|Number=Sing\|POS=ADJ`, `Case=Acc\|Number=Plur\|POS=PRON\|Person=2\|PronType=Prs`, `Case=Loc\|Gender=Masc\|Number=Sing\|POS=DET\|Poss=Yes\|PronType=Tot`, `Case=Loc\|Gender=Fem\|Number=Plur\|POS=DET\|PronType=Tot`, `Case=Gen\|Definite=Def\|Degree=Pos\|Gender=Fem\|Number=Plur\|POS=DET`, `Case=Nom\|Gender=Neut\|Number=Plur\|POS=DET\|PronType=Tot`, `Case=Loc\|Gender=Fem\|Gender[psor]=Fem\|Number=Plur\|Number[psor]=Sing\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Case=Ins\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=NUM`, `Animacy=Inan\|Case=Acc\|Definite=Ind\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=NUM`, `Case=Dat\|Gender=Masc\|Number=Sing\|Number[psor]=Plur\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Case=Nom\|Gender=Neut\|Number=Sing\|Number[psor]=Plur\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Case=Loc\|Gender=Masc\|Number=Sing\|Number[psor]=Plur\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Case=Nom\|Gender=Fem\|Gender[psor]=Fem\|Number=Plur\|Number[psor]=Sing\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Case=Ins\|Gender=Fem\|Number=Plur\|POS=DET\|PronType=Dem`, `Case=Gen\|Definite=Def\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=ADJ\|Poss=Yes`, `Case=Dat\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Dem`, `Case=Ins\|Definite=Def\|Degree=Cmp\|Gender=Masc\|Number=Sing\|POS=ADJ`, `Case=Acc\|Definite=Def\|Degree=Cmp\|Gender=Masc\|Number=Plur\|POS=ADJ`, `Case=Nom\|Gender=Neut\|Number=Plur\|POS=DET\|PronType=Ind`, `Case=Nom\|Gender=Masc\|Number=Sing\|POS=DET\|Poss=Yes\|PronType=Int,Rel`, `Case=Dat\|Definite=Def\|Degree=Pos\|Gender=Fem\|Number=Plur\|POS=ADJ\|VerbForm=Part\|Voice=Pass`, `Case=Gen\|Gender=Masc\|Number=Plur\|Number[psor]=Plur\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Case=Dat\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Int,Rel`, `Case=Gen\|Degree=Pos\|Gender=Neut\|Number=Plur\|POS=NUM`, `Case=Loc\|Gender=Neut\|POS=PRON\|PronType=Ind`, `Case=Acc\|Gender=Neut\|Number=Sing\|POS=DET\|PronType=Ind`, `Case=Gen\|Definite=Ind\|Degree=Pos\|Gender=Neut\|Number=Sing\|POS=NUM`, `Case=Nom\|Gender=Fem\|Number=Plur\|POS=DET\|PronType=Neg`, `Case=Ins\|NumType=Card\|Number=Plur\|POS=NUM`, `Case=Nom\|Definite=Def\|Degree=Cmp\|Gender=Neut\|Number=Plur\|POS=ADJ`, `Case=Gen\|Gender=Neut\|Number=Sing\|POS=DET\|PronType=Ind`, `Case=Dat\|Definite=Def\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=ADJ\|Poss=Yes`, `Case=Ins\|Gender=Fem\|Number=Sing\|Number[psor]=Plur\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Case=Acc\|Gender=Fem\|Number=Sing\|POS=DET\|PronType=Neg`, `Case=Nom\|Definite=Def\|Degree=Cmp\|Gender=Fem\|Number=Plur\|POS=ADJ`, `Case=Dat\|Gender=Fem\|Number=Plur\|POS=PROPN`, `Case=Ins\|Definite=Def\|Degree=Sup\|Gender=Masc\|Number=Sing\|POS=ADJ`, `Case=Loc\|Definite=Def\|Degree=Pos\|Gender=Neut\|Number=Sing\|POS=DET`, `Case=Gen\|Gender=Fem\|Gender[psor]=Fem\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Case=Gen\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Neg`, `Case=Dat\|Gender=Masc\|Number=Sing\|POS=DET\|Poss=Yes\|PronType=Prs\|Reflex=Yes`, `Case=Nom\|Gender=Fem\|Gender[psor]=Masc,Neut\|Number=Plur\|Number[psor]=Sing\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Case=Dat\|Gender=Fem\|Number=Sing\|POS=DET\|Poss=Yes\|PronType=Prs\|Reflex=Yes`, `Case=Acc\|Gender=Masc\|POS=DET\|PronType=Ind`, `Case=Nom\|Gender=Masc\|POS=DET\|PronType=Ind`, `Case=Gen\|Gender=Fem\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs`, `Animacy=Anim\|Case=Acc\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Dem`, `Case=Gen\|Gender=Neut\|Number=Sing\|Number[psor]=Plur\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Case=Loc\|Definite=Def\|Degree=Pos\|Gender=Fem\|Number=Plur\|POS=ADJ\|VerbForm=Part\|Voice=Pass`, `Mood=Ind\|Number=Sing\|POS=VERB\|Person=1\|Tense=Fut\|VerbForm=Fin`, `Case=Acc\|Gender=Masc\|NumType=Mult\|POS=NUM`, `Case=Loc\|Definite=Def\|Degree=Pos\|Gender=Fem\|Number=Plur\|POS=ADJ\|Poss=Yes`, `Case=Acc\|Definite=Def\|Degree=Pos\|Gender=Fem\|Number=Plur\|POS=ADJ\|Poss=Yes`, `Case=Ins\|Definite=Def\|Degree=Pos\|Gender=Masc\|Number=Plur\|POS=DET`, `Case=Nom\|Definite=Def\|Degree=Pos\|Gender=Fem\|Number=Plur\|POS=DET`, `Case=Gen\|Gender=Neut\|Gender[psor]=Fem\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Animacy=Inan\|Case=Acc\|Gender=Masc\|Number=Sing\|Number[psor]=Plur\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Case=Ins\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Ind`, `Case=Loc\|Degree=Pos\|Gender=Masc\|Number=Plur\|POS=ADJ`, `Animacy=Inan\|Case=Acc\|Gender=Masc\|Gender[psor]=Masc,Neut\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Case=Loc\|Gender=Neut\|Gender[psor]=Fem\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Case=Acc\|Gender=Fem\|Number=Sing\|POS=DET\|PronType=Ind`, `Case=Acc\|Definite=Def\|Degree=Pos\|Gender=Fem\|Number=Plur\|POS=ADJ\|VerbForm=Part\|Voice=Pass`, `Case=Ins\|Definite=Def\|Degree=Cmp\|Gender=Fem\|Number=Plur\|POS=ADJ`, `Case=Acc\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Neg`, `Animacy=Inan\|Case=Acc\|Gender=Masc\|Number=Sing\|POS=DET\|Poss=Yes\|PronType=Int,Rel`, `Case=Nom\|Definite=Def\|Degree=Sup\|Gender=Fem\|Number=Plur\|POS=ADJ`, `Case=Acc\|Gender=Neut\|Gender[psor]=Fem\|Number=Plur\|Number[psor]=Sing\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Case=Dat\|Gender=Fem\|Number=Plur\|POS=DET\|PronType=Dem`, `Case=Acc\|Gender=Neut\|Number=Plur\|POS=DET\|PronType=Ind`, `Case=Acc\|Degree=Pos\|Gender=Masc\|Number=Plur\|POS=ADJ`, `Degree=Pos\|POS=DET\|PronType=Dem`, `Case=Dat\|Degree=Pos\|Gender=Fem\|Number=Plur\|POS=ADJ`, `Case=Acc\|Definite=Def\|Degree=Pos\|Gender=Neut\|Number=Plur\|POS=ADJ\|Poss=Yes`, `Case=Loc\|Gender=Fem\|Number=Plur\|POS=DET\|PronType=Dem`, `Case=Gen\|Gender=Fem\|NumType=Mult\|POS=NUM`, `Animacy=Anim\|Case=Acc\|Definite=Def\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=ADJ\|Poss=Yes`, `Case=Acc\|Gender=Neut\|Number=Sing\|POS=DET\|PronType=Neg`, `Case=Loc\|Gender=Neut\|NumType=Card\|Number=Sing\|POS=NUM`, `Case=Loc\|Gender=Fem\|Number=Plur\|Number[psor]=Plur\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Case=Loc\|Gender=Fem\|Number=Sing\|POS=DET\|PronType=Tot`, `Animacy=Anim\|Case=Acc\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Int,Rel`, `Case=Acc\|Definite=Def\|Degree=Sup\|Gender=Masc\|Number=Plur\|POS=ADJ`, `Case=Loc\|Definite=Def\|Degree=Cmp\|Gender=Fem\|Number=Plur\|POS=ADJ`, `Case=Ins\|Number=Plur\|POS=PRON\|Person=1\|PronType=Prs`, `Case=Ins\|Definite=Def\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=ADJ\|Poss=Yes`, `POS=SYM`, `Case=Acc\|Definite=Def\|Degree=Pos\|Gender=Neut\|Number=Plur\|POS=DET`, `Case=Loc\|Gender=Neut\|Number=Sing\|POS=DET\|Poss=Yes\|PronType=Int,Rel`, `POS=INTJ`, `Case=Acc\|Gender=Fem\|Number=Sing\|POS=DET\|Poss=Yes\|PronType=Int,Rel`, `Case=Nom\|Gender=Neut\|Number=Sing\|POS=DET\|PronType=Ind`, `Case=Gen\|Gender=Fem\|Number=Plur\|POS=DET\|PronType=Neg`, `Case=Nom\|Number=Sing\|POS=PRON\|PronType=Ind`, `Case=Nom\|Gender=Neut\|Number=Sing\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Case=Loc\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=ADJ`, `Case=Ins\|Definite=Def\|Degree=Cmp\|Gender=Neut\|Number=Sing\|POS=ADJ`, `Case=Gen\|Gender=Fem\|Number=Sing\|POS=DET\|Poss=Yes\|PronType=Int,Rel`, `Case=Loc\|Gender=Neut\|Number=Sing\|Number[psor]=Plur\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Case=Acc\|Definite=Def\|Degree=Pos\|Gender=Fem\|Number=Plur\|POS=DET`, `Animacy=Inan\|Case=Acc\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Ind`, `Case=Acc\|Definite=Def\|Degree=Pos\|Gender=Neut\|Number=Sing\|POS=ADJ\|VerbForm=Part\|Voice=Pass`, `Case=Loc\|Gender=Fem\|Number=Sing\|Number[psor]=Plur\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Case=Nom\|Definite=Def\|Degree=Pos\|Gender=Neut\|Number=Sing\|POS=DET`, `Case=Nom\|Gender=Masc\|NumType=Mult\|POS=NUM`, `Case=Acc\|Gender=Masc\|POS=PRON\|PronType=Neg`, `Case=Gen\|POS=PRON\|PronType=Prs\|Reflex=Yes`, `Case=Dat\|Number=Plur\|POS=PRON\|Person=2\|PronType=Prs`, `Case=Nom\|Gender=Fem\|Number=Plur\|Number[psor]=Plur\|POS=DET\|Person=2\|Poss=Yes\|PronType=Prs`, `Case=Acc\|Gender=Neut\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs`, `Case=Loc\|Definite=Def\|Degree=Pos\|Gender=Masc\|Number=Plur\|POS=DET`, `Case=Gen\|Gender=Masc\|POS=PRON\|PronType=Int,Rel`, `Animacy=Anim\|Case=Acc\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=NUM`, `Case=Dat\|Gender=Fem\|Number=Sing\|POS=DET\|PronType=Tot`, `Case=Ins\|Definite=Def\|Degree=Pos\|Gender=Neut\|Number=Plur\|POS=DET`, `Mood=Ind\|Number=Plur\|POS=VERB\|Person=2\|Tense=Fut\|VerbForm=Fin`, `Case=Ins\|Gender=Fem\|Number=Sing\|POS=DET\|Poss=Yes\|PronType=Ind`, `Case=Ins\|Gender=Fem\|Number=Sing\|POS=DET\|Poss=Yes\|PronType=Int,Rel`, `Case=Ins\|Gender=Neut\|Number=Sing\|POS=DET\|PronType=Ind`, `Case=Acc\|Gender=Fem\|Number=Sing\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Case=Loc\|Definite=Def\|Degree=Pos\|Gender=Fem\|Number=Sing\|POS=ADJ\|Poss=Yes`, `Case=Loc\|Gender=Neut\|Number=Plur\|POS=DET\|PronType=Dem`, `Case=Ins\|Definite=Def\|Degree=Pos\|Gender=Fem\|Number=Sing\|POS=ADJ\|Poss=Yes`, `Case=Gen\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=ADJ`, `Case=Loc\|Number=Plur\|POS=PRON\|Person=1\|PronType=Prs`, `Case=Acc\|Gender=Neut\|Number=Sing\|Number[psor]=Plur\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Case=Dat\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=ADJ`, `Case=Loc\|Gender=Neut\|Number=Sing\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Case=Loc\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Ind`, `Case=Ins\|Definite=Def\|Degree=Pos\|Gender=Neut\|Number=Sing\|POS=ADJ\|VerbForm=Part\|Voice=Pass`, `Case=Ins\|Definite=Def\|Degree=Pos\|Gender=Neut\|Number=Sing\|POS=DET`, `Case=Gen\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Ind`, `Case=Acc\|Gender=Fem\|Number=Plur\|Number[psor]=Plur\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Case=Gen\|Gender=Masc\|Number=Sing\|POS=DET\|Poss=Yes\|PronType=Ind`, `Case=Ins\|Gender=Masc\|Gender[psor]=Masc,Neut\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Case=Nom\|Definite=Ind\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=DET`, `Case=Nom\|Gender=Fem\|Number=Sing\|POS=DET\|PronType=Neg`, `POS=ADV\|VerbForm=Part`, `Animacy=Inan\|Case=Acc\|Gender=Masc\|Number=Sing\|Number[psor]=Plur\|POS=DET\|Person=2\|Poss=Yes\|PronType=Prs`, `Case=Nom\|Gender=Fem\|Number=Plur\|Number[psor]=Plur\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs` |
| **`parser`** | `ROOT`, `acl`, `advcl`, `advmod`, `amod`, `appos`, `aux`, `case`, `cc`, `ccomp`, `compound`, `conj`, `cop`, `csubj`, `dep`, `det`, `det:numgov`, `discourse`, `fixed`, `flat`, `list`, `mark`, `nmod`, `nsubj`, `nummod`, `nummod:gov`, `obj`, `obl`, `orphan`, `parataxis`, `punct`, `xcomp` |
| **`experimental_edit_tree_lemmatizer`** | `1`, `3`, `5`, `7`, `9`, `10`, `12`, `14`, `16`, `17`, `19`, `21`, `23`, `25`, `27`, `29`, `31`, `33`, `35`, `38`, `40`, `41`, `43`, `45`, `47`, `49`, `51`, `53`, `56`, `58`, `60`, `62`, `64`, `66`, `68`, `70`, `73`, `74`, `77`, `80`, `82`, `84`, `86`, `88`, `90`, `92`, `94`, `96`, `98`, `100`, `104`, `105`, `107`, `109`, `111`, `113`, `116`, `118`, `120`, `121`, `124`, `126`, `128`, `130`, `132`, `134`, `136`, `138`, `141`, `143`, `145`, `147`, `150`, `153`, `155`, `157`, `159`, `160`, `162`, `164`, `166`, `167`, `168`, `170`, `172`, `174`, `175`, `176`, `178`, `180`, `182`, `184`, `188`, `190`, `191`, `194`, `196`, `198`, `199`, `201`, `202`, `205`, `207`, `209`, `211`, `214`, `217`, `219`, `221`, `223`, `225`, `227`, `229`, `231`, `233`, `237`, `239`, `241`, `243`, `245`, `83`, `246`, `247`, `249`, `253`, `255`, `258`, `260`, `262`, `263`, `265`, `269`, `271`, `272`, `274`, `275`, `276`, `277`, `278`, `280`, `282`, `283`, `285`, `287`, `289`, `291`, `292`, `293`, `294`, `295`, `297`, `298`, `299`, `301`, `302`, `304`, `306`, `308`, `310`, `312`, `314`, `315`, `317`, `320`, `321`, `323`, `325`, `327`, `328`, `330`, `332`, `333`, `335`, `337`, `338`, `340`, `341`, `342`, `343`, `346`, `250`, `348`, `349`, `350`, `351`, `353`, `354`, `356`, `358`, `360`, `362`, `364`, `365`, `367`, `369`, `371`, `373`, `375`, `376`, `378`, `380`, `382`, `384`, `385`, `386`, `388`, `391`, `395`, `398`, `400`, `402`, `404`, `406`, `409`, `413`, `415`, `419`, `421`, `424`, `426`, `427`, `428`, `429`, `430`, `431`, `432`, `434`, `436`, `438`, `440`, `442`, `444`, `446`, `447`, `449`, `450`, `452`, `454`, `455`, `457`, `459`, `461`, `462`, `463`, `465`, `466`, `468`, `470`, `472`, `474`, `476`, `477`, `478`, `480`, `483`, `485`, `486`, `489`, `491`, `492`, `497`, `498`, `500`, `501`, `502`, `503`, `504`, `507`, `508`, `509`, `510`, `512`, `513`, `515`, `516`, `518`, `519`, `521`, `523`, `524`, `526`, `527`, `529`, `531`, `532`, `533`, `535`, `538`, `540`, `542`, `543`, `545`, `547`, `550`, `552`, `553`, `556`, `557`, `558`, `561`, `562`, `563`, `566`, `567`, `569`, `571`, `572`, `574`, `576`, `578`, `580`, `582`, `583`, `586`, `588`, `590`, `592`, `594`, `596`, `600`, `601`, `603`, `606`, `607`, `609`, `610`, `611`, `613`, `614`, `615`, `616`, `618`, `620`, `623`, `624`, `626`, `627`, `629`, `630`, `632`, `635`, `637`, `639`, `641`, `642`, `643`, `645`, `647`, `648`, `649`, `652`, `654`, `655`, `658`, `660`, `662`, `665`, `667`, `668`, `670`, `672`, `674`, `675`, `676`, `678`, `680`, `682`, `683`, `684`, `685`, `687`, `688`, `690`, `691`, `693`, `694`, `696`, `697`, `699`, `701`, `703`, `705`, `707`, `708`, `709`, `710`, `711`, `713`, `714`, `716`, `717`, `718`, `721`, `723`, `725`, `726`, `730`, `732`, `734`, `735`, `736`, `737`, `739`, `740`, `741`, `742`, `744`, `746`, `747`, `749`, `750`, `752`, `754`, `755`, `756`, `757`, `760`, `761`, `762`, `763`, `765`, `768`, `769`, `771`, `772`, `773`, `774`, `775`, `777`, `780`, `781`, `783`, `784`, `785`, `787`, `789`, `790`, `791`, `792`, `794`, `797`, `798`, `800`, `802`, `803`, `806`, `808`, `811`, `813`, `815`, `817`, `819`, `822`, `825`, `827`, `829`, `831`, `833`, `835`, `836`, `838`, `839`, `842`, `845`, `848`, `850`, `851`, `852`, `853`, `855`, `856`, `858`, `860`, `862`, `864`, `866`, `867`, `868`, `871`, `874`, `875`, `876`, `877`, `878`, `880`, `883`, `884`, `885`, `887`, `889`, `890`, `894`, `895`, `896`, `898`, `899`, `901`, `902`, `903`, `904`, `905`, `908`, `909`, `910`, `911`, `913`, `915`, `916`, `917`, `919`, `920`, `921`, `922`, `923`, `925`, `927`, `928`, `929`, `931`, `932`, `934`, `935`, `937`, `938`, `941`, `943`, `945`, `946`, `947`, `948`, `950`, `951`, `952`, `953`, `954`, `955`, `957`, `959`, `962`, `964`, `965`, `966`, `969`, `971`, `972`, `973`, `975`, `977`, `978`, `980`, `982`, `983`, `985`, `986`, `987`, `989`, `990`, `992`, `994`, `996`, `998`, `999`, `1001`, `1002`, `1005`, `1007`, `1009`, `1012`, `1014`, `1016`, `1018`, `1020`, `1022`, `1025`, `1026`, `1028`, `1029`, `1031`, `1033`, `1035`, `1036`, `374`, `1038`, `1039`, `1040`, `1041`, `1042`, `1043`, `1045`, `1047`, `1050`, `1053`, `1054`, `1055`, `1056`, `1057`, `1059`, `1060`, `1061`, `1063`, `1064`, `1065`, `1066`, `1068`, `1070`, `1072`, `1074`, `1075`, `1077`, `1079`, `1080`, `1082`, `1083`, `1084`, `1087`, `1090`, `1091`, `1092`, `1093`, `1095`, `1096`, `1097`, `1100`, `1101`, `1102`, `1103`, `1104`, `1106`, `1108`, `1110`, `1112`, `1114`, `1115`, `1116`, `1117`, `1118`, `1119`, `1120`, `1122`, `1123`, `1125`, `1126`, `1127`, `1129`, `1130`, `1131`, `1132`, `1133`, `1134`, `1135`, `1136`, `1137`, `1139`, `1141`, `1142`, `1143`, `1144`, `1146`, `1148`, `1150`, `1151`, `1152`, `1153`, `1155`, `1157`, `1158`, `1159`, `1160`, `1162`, `1165`, `1167`, `1168`, `1169`, `1170`, `1172`, `1174`, `1177`, `1179`, `1181`, `1183`, `1184`, `1187`, `1189`, `1190`, `1193`, `1194`, `1195`, `1196`, `1197`, `1199`, `1200`, `1201`, `1202`, `1203`, `1205`, `1207`, `1210`, `1211`, `1212`, `1213`, `1215`, `1216`, `1218`, `1219`, `1221`, `1222`, `1223`, `1224`, `1227`, `1228`, `1230`, `1232`, `1235`, `1236`, `1237`, `1239`, `1241`, `1242`, `1244`, `1246`, `1248`, `1250`, `1253`, `1255`, `1256`, `1258`, `1259`, `1260`, `1261`, `1262`, `1263`, `1265`, `1266`, `1267`, `1269`, `1272`, `1275`, `1277`, `1279`, `1281`, `1283`, `1285`, `1287`, `1289`, `1291`, `1292`, `1293`, `1295`, `1296`, `1297`, `1298`, `1300`, `1303`, `1304`, `1306`, `1308`, `1310`, `1311`, `1312`, `1313`, `1315`, `1316`, `1317`, `1318`, `1319`, `1320`, `1321`, `1322`, `1323`, `1325`, `1326`, `1327`, `1329`, `1331`, `1332`, `1333`, `1334`, `1335`, `1336`, `1338`, `1339`, `1340`, `1342`, `1344`, `1346`, `1347`, `1349`, `1350`, `1353`, `1356`, `1357`, `1358`, `1359`, `1360`, `1361`, `1362`, `1363`, `1364`, `1367`, `1368`, `1369`, `1370`, `1371`, `1372`, `1373`, `1374`, `1376`, `1377`, `1379`, `1381`, `1382`, `1384`, `1385`, `1386`, `1387`, `1388`, `1390`, `1391`, `1392`, `1393`, `1395`, `1396`, `1398`, `1399`, `1401`, `1402`, `1404`, `1405`, `1406`, `1408`, `1409`, `1410`, `1412`, `1413`, `1415`, `1417`, `1418`, `1420`, `1421`, `1422`, `1423`, `1424`, `1425`, `1426`, `1428`, `1429`, `1430`, `1431`, `1433`, `1434`, `1435`, `1436`, `1437`, `1438`, `1439`, `1441`, `1442`, `1444`, `1445`, `1447`, `1448`, `1449`, `1450`, `1451`, `1452`, `1453`, `1454`, `1456`, `1458`, `1461`, `1462`, `1463`, `1464`, `1467`, `1469`, `1471`, `1472`, `1474`, `1475`, `1477`, `1479`, `1481`, `1483`, `1484`, `1485`, `1486`, `1487`, `1488`, `1490`, `1492`, `1493`, `1496`, `1497`, `1499`, `1500`, `1502`, `1503`, `1504`, `1505`, `1052`, `1507`, `1508`, `1510`, `1513`, `1515`, `1516`, `1518`, `1519`, `1520`, `1521`, `1523`, `1524`, `1525`, `1526`, `1527`, `1528`, `1529`, `1531`, `1533`, `1534`, `1535`, `1536`, `1537`, `1538`, `1540`, `1541`, `1542`, `1543`, `1544`, `1545`, `1546`, `1547`, `1548`, `1549`, `1550`, `1551`, `1552`, `1553`, `1554`, `1556`, `1557`, `1558`, `1560`, `1561`, `1562`, `1563`, `1564`, `1565`, `1566`, `1567`, `1568`, `1569`, `1571`, `1573`, `1574`, `1576`, `1578`, `1580`, `1581`, `1583`, `1585`, `1586`, `1587`, `1588`, `1589`, `1591`, `1592`, `1593`, `1594`, `1596`, `1597`, `1598`, `1600`, `1602`, `1605`, `1606`, `1607`, `1609`, `1611`, `1612`, `1613`, `1614`, `1616`, `1619`, `1623`, `1624`, `1626`, `1627`, `1628`, `1629`, `1631`, `1633`, `1635`, `1637`, `1638`, `1639`, `1640`, `1641`, `1642`, `1643`, `1645`, `1646`, `1648`, `1649`, `1650`, `1651`, `1652`, `1653`, `1654`, `1655`, `1656`, `1658`, `1659`, `1660`, `1661`, `1662`, `1663`, `1664`, `1665`, `1666`, `1667`, `1669`, `1670`, `1672`, `1673`, `1674`, `1677`, `372`, `1678`, `1680`, `1682`, `1683`, `1684`, `1685`, `1687`, `1689`, `1690`, `1692`, `1694`, `1695`, `1696`, `1697`, `1698`, `1700`, `1702`, `1703`, `1704`, `1706`, `1708`, `1709`, `1710`, `1712`, `1713`, `1715`, `1717`, `1720`, `1722`, `1724`, `1726`, `1728`, `1730`, `1731`, `1732`, `1734`, `1735`, `1737`, `1739`, `1741`, `1743`, `1744`, `1745`, `1746`, `1747`, `1748`, `1751`, `1753`, `1755`, `1757`, `1758`, `1759`, `1760`, `1762`, `1764`, `1766`, `1767`, `1768`, `1770`, `1772`, `1773`, `1776`, `1777`, `1778`, `1779`, `1781`, `1783`, `1784`, `1785`, `1787`, `1789`, `1790`, `1791`, `1793`, `1794`, `1795`, `1799`, `1800`, `1802`, `1803`, `1804`, `1806`, `1807`, `1808`, `1809`, `1812`, `1813`, `1814`, `1816`, `1817`, `1819`, `1820`, `1821`, `1822`, `1823`, `1824`, `1826`, `1828`, `1830`, `1831`, `1832`, `1834`, `1837`, `1838`, `1840`, `1841`, `1842`, `1844`, `1845`, `1847`, `1848`, `1850`, `1851`, `1853`, `1854`, `1855`, `1856`, `1859`, `1860`, `1862`, `1864`, `1865`, `1866`, `1868`, `1869`, `1870`, `1871`, `1873`, `1874`, `1875`, `1876`, `1877`, `1878`, `1879`, `1880`, `1881`, `1883`, `1884`, `1885`, `1886`, `1888`, `1889`, `1890`, `1891`, `1892`, `1894`, `1895`, `61`, `1896`, `1898`, `1899`, `1901`, `1902`, `1903`, `1905`, `1907`, `1908`, `1910`, `1912`, `1914`, `1915`, `1916`, `1917`, `1919`, `133`, `1920`, `1921`, `1922`, `1923`, `1924`, `1925`, `1926`, `1928`, `1931`, `1932`, `1933`, `1934`, `1935`, `1936`, `1937`, `1939`, `1940`, `1943`, `1945`, `1946`, `1947`, `1949`, `1950`, `1952`, `1955`, `1956`, `1957`, `1958`, `1959`, `1960`, `1962`, `1964`, `1965`, `1968`, `1969`, `1970`, `1971`, `1972`, `1973`, `1975`, `1977`, `1979`, `1980`, `1982`, `1984`, `1986`, `1989`, `1990`, `1992`, `1993`, `1995`, `1997`, `1999`, `2001`, `2003`, `2005`, `2006`, `2008`, `2009`, `2010`, `2011`, `2012`, `2014`, `2016`, `2017`, `2018`, `2019`, `2021`, `2022`, `2024`, `2026`, `2027`, `2030`, `2032`, `2035`, `2037`, `2039`, `2040`, `2041`, `2042`, `2043`, `2045`, `2047` |
</details>
### Accuracy
| Type | Score |
| --- | --- |
| `TOKEN_F` | 99.92 |
| `TOKEN_P` | 99.91 |
| `TOKEN_R` | 99.94 |
| `TOKEN_ACC` | 100.00 |
| `SENTS_F` | 98.04 |
| `SENTS_P` | 98.31 |
| `SENTS_R` | 97.76 |
| `TAG_ACC` | 95.86 |
| `POS_ACC` | 98.56 |
| `MORPH_ACC` | 96.05 |
| `DEP_UAS` | 93.72 |
| `DEP_LAS` | 90.25 |
| `LEMMA_ACC` | 95.94 | |
SupriyaArun/bert-base-uncased-finetuned-squad | SupriyaArun | 2021-12-11T00:15:16Z | 10 | 0 | transformers | [
"transformers",
"pytorch",
"tensorboard",
"bert",
"question-answering",
"generated_from_trainer",
"dataset:squad",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | question-answering | 2022-03-02T23:29:05Z | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- squad
model-index:
- name: bert-base-uncased-finetuned-squad
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# bert-base-uncased-finetuned-squad
This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the squad dataset.
It achieves the following results on the evaluation set:
- Loss: 1.0755
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 1.0698 | 1.0 | 5533 | 1.0240 |
| 0.7813 | 2.0 | 11066 | 1.0310 |
| 0.608 | 3.0 | 16599 | 1.0755 |
### Framework versions
- Transformers 4.13.0
- Pytorch 1.10.0+cu111
- Datasets 1.16.1
- Tokenizers 0.10.3
|
explosion/ro_udv25_romanianrrt_trf | explosion | 2021-12-10T23:50:30Z | 1 | 0 | spacy | [
"spacy",
"token-classification",
"ro",
"license:cc-by-sa-4.0",
"model-index",
"region:us"
] | token-classification | 2022-03-02T23:29:05Z | ---
tags:
- spacy
- token-classification
language:
- ro
license: cc-by-sa-4.0
model-index:
- name: ro_udv25_romanianrrt_trf
results:
- task:
name: TAG
type: token-classification
metrics:
- name: TAG (XPOS) Accuracy
type: accuracy
value: 0.9653414584
- task:
name: POS
type: token-classification
metrics:
- name: POS (UPOS) Accuracy
type: accuracy
value: 0.9784952537
- task:
name: MORPH
type: token-classification
metrics:
- name: Morph (UFeats) Accuracy
type: accuracy
value: 0.9723141828
- task:
name: LEMMA
type: token-classification
metrics:
- name: Lemma Accuracy
type: accuracy
value: 0.9699739286
- task:
name: UNLABELED_DEPENDENCIES
type: token-classification
metrics:
- name: Unlabeled Attachment Score (UAS)
type: f_score
value: 0.9251549448
- task:
name: LABELED_DEPENDENCIES
type: token-classification
metrics:
- name: Labeled Attachment Score (LAS)
type: f_score
value: 0.863186258
- task:
name: SENTS
type: token-classification
metrics:
- name: Sentences F-Score
type: f_score
value: 0.9234972678
---
UD v2.5 benchmarking pipeline for UD_Romanian-RRT
| Feature | Description |
| --- | --- |
| **Name** | `ro_udv25_romanianrrt_trf` |
| **Version** | `0.0.1` |
| **spaCy** | `>=3.2.1,<3.3.0` |
| **Default Pipeline** | `experimental_char_ner_tokenizer`, `transformer`, `tagger`, `morphologizer`, `parser`, `experimental_edit_tree_lemmatizer` |
| **Components** | `experimental_char_ner_tokenizer`, `transformer`, `senter`, `tagger`, `morphologizer`, `parser`, `experimental_edit_tree_lemmatizer` |
| **Vectors** | 0 keys, 0 unique vectors (0 dimensions) |
| **Sources** | [Universal Dependencies v2.5](https://lindat.mff.cuni.cz/repository/xmlui/handle/11234/1-3105) (Zeman, Daniel; et al.) |
| **License** | `CC BY-SA 4.0` |
| **Author** | [Explosion](https://explosion.ai) |
### Label Scheme
<details>
<summary>View label scheme (3096 labels for 6 components)</summary>
| Component | Labels |
| --- | --- |
| **`experimental_char_ner_tokenizer`** | `TOKEN` |
| **`senter`** | `I`, `S` |
| **`tagger`** | `ARROW`, `Af`, `Afcfp-n`, `Afcfson`, `Afcfsrn`, `Afcmpoy`, `Afcms-n`, `Afp`, `Afp-p-n`, `Afp-poy`, `Afpf--n`, `Afpfp-n`, `Afpfp-ny`, `Afpfpoy`, `Afpfpry`, `Afpfson`, `Afpfsoy`, `Afpfsrn`, `Afpfsry`, `Afpm--n`, `Afpmp-n`, `Afpmpoy`, `Afpmpry`, `Afpms-n`, `Afpmsoy`, `Afpmsry`, `Afsfp-n`, `Afsfsrn`, `BULLET`, `COLON`, `COMMA`, `Ccssp`, `Ccsspy`, `Crssp`, `Csssp`, `Cssspy`, `DASH`, `DBLQ`, `Dd3-po---e`, `Dd3-po---o`, `Dd3fpo`, `Dd3fpr`, `Dd3fpr---e`, `Dd3fpr---o`, `Dd3fpr--y`, `Dd3fso`, `Dd3fso---e`, `Dd3fsr`, `Dd3fsr---e`, `Dd3fsr---o`, `Dd3fsr--yo`, `Dd3mpo`, `Dd3mpr`, `Dd3mpr---e`, `Dd3mpr---o`, `Dd3mso---e`, `Dd3msr`, `Dd3msr---e`, `Dd3msr---o`, `Dh1ms`, `Dh3fp`, `Dh3fso`, `Dh3fsr`, `Dh3mp`, `Dh3ms`, `Di3`, `Di3-----y`, `Di3--r---e`, `Di3-po`, `Di3-po---e`, `Di3-sr`, `Di3-sr---e`, `Di3-sr--y`, `Di3fp`, `Di3fpr`, `Di3fpr---e`, `Di3fso`, `Di3fso---e`, `Di3fsr`, `Di3fsr---e`, `Di3mp`, `Di3mpr`, `Di3mpr---e`, `Di3ms`, `Di3ms----e`, `Di3mso---e`, `Di3msr`, `Di3msr---e`, `Ds1fp-p`, `Ds1fp-s`, `Ds1fsop`, `Ds1fsos`, `Ds1fsrp`, `Ds1fsrs`, `Ds1fsrs-y`, `Ds1mp-p`, `Ds1mp-s`, `Ds1ms-p`, `Ds1ms-s`, `Ds1msrs-y`, `Ds2---s`, `Ds2fp-p`, `Ds2fp-s`, `Ds2fsrp`, `Ds2fsrs`, `Ds2mp-p`, `Ds2mp-s`, `Ds2ms-p`, `Ds2ms-s`, `Ds3---p`, `Ds3---s`, `Ds3fp-s`, `Ds3fsos`, `Ds3fsrs`, `Ds3mp-s`, `Ds3ms-s`, `Dw3--r---e`, `Dw3-po---e`, `Dw3fpr`, `Dw3fso---e`, `Dw3fsr`, `Dw3mpr`, `Dw3mso---e`, `Dw3msr`, `Dz3fsr---e`, `Dz3mso---e`, `Dz3msr---e`, `EQUAL`, `EXCL`, `EXCLHELLIP`, `GE`, `GT`, `HELLIP`, `I`, `LCURL`, `LPAR`, `LSQR`, `LT`, `M`, `Mc`, `Mc-p-d`, `Mc-p-l`, `Mcfp-l`, `Mcfp-ln`, `Mcfprln`, `Mcfprly`, `Mcfsoln`, `Mcfsrln`, `Mcmp-l`, `Mcms-ln`, `Mcmsrl`, `Mcmsrly`, `Mffprln`, `Mffsrln`, `Mlfpo`, `Mlfpr`, `Mlmpr`, `Mo---l`, `Mo---ln`, `Mo-s-r`, `Mofp-ln`, `Mofpoly`, `Mofprly`, `Mofs-l`, `Mofsoln`, `Mofsoly`, `Mofsrln`, `Mofsrly`, `Mompoly`, `Momprly`, `Moms-l`, `Moms-ln`, `Momsoly`, `Momsrly`, `Nc`, `Nc---n`, `Ncf--n`, `Ncfp-n`, `Ncfpoy`, `Ncfpry`, `Ncfs-n`, `Ncfson`, `Ncfsoy`, `Ncfsrn`, `Ncfsry`, `Ncfsryy`, `Ncfsvy`, `Ncm--n`, `Ncmp-n`, `Ncmpoy`, `Ncmpry`, `Ncms-n`, `Ncms-ny`, `Ncms-y`, `Ncmsoy`, `Ncmsrn`, `Ncmsry`, `Ncmsryy`, `Ncmsvn`, `Ncmsvy`, `Np`, `Npfson`, `Npfsoy`, `Npfsrn`, `Npfsry`, `Npmpoy`, `Npmpry`, `Npms-n`, `Npmsoy`, `Npmsry`, `PERCENT`, `PERIOD`, `PLUS`, `PLUSMINUS`, `Pd3-po`, `Pd3fpr`, `Pd3fso`, `Pd3fsr`, `Pd3mpo`, `Pd3mpr`, `Pd3mpr--y`, `Pd3mso`, `Pd3msr`, `Pi3`, `Pi3--r`, `Pi3-po`, `Pi3-so`, `Pi3-sr`, `Pi3fpr`, `Pi3fso`, `Pi3fsr`, `Pi3mpr`, `Pi3mso`, `Pi3msr`, `Pi3msr--y`, `Pp1-pa--------w`, `Pp1-pa--y-----w`, `Pp1-pd--------s`, `Pp1-pd--------w`, `Pp1-pd--y-----w`, `Pp1-pr--------s`, `Pp1-sa--------s`, `Pp1-sa--------w`, `Pp1-sa--y-----w`, `Pp1-sd--------s`, `Pp1-sd--------w`, `Pp1-sd--y-----w`, `Pp1-sn--------s`, `Pp2-----------s`, `Pp2-pa--------w`, `Pp2-pa--y-----w`, `Pp2-pd--------w`, `Pp2-pd--y-----w`, `Pp2-pr--------s`, `Pp2-sa--------s`, `Pp2-sa--------w`, `Pp2-sa--y-----w`, `Pp2-sd--------s`, `Pp2-sd--------w`, `Pp2-sd--y-----w`, `Pp2-sn--------s`, `Pp2-so--------s`, `Pp2-sr--------s`, `Pp3-p---------s`, `Pp3-pd--------w`, `Pp3-pd--y-----w`, `Pp3-po--------s`, `Pp3-sd--------w`, `Pp3-sd--y-----w`, `Pp3fpa--------w`, `Pp3fpa--y-----w`, `Pp3fpr--------s`, `Pp3fs---------s`, `Pp3fsa--------w`, `Pp3fsa--y-----w`, `Pp3fso--------s`, `Pp3fsr--------s`, `Pp3fsr--y-----s`, `Pp3mpa--------w`, `Pp3mpa--y-----w`, `Pp3mpr--------s`, `Pp3ms---------s`, `Pp3msa--------w`, `Pp3msa--y-----w`, `Pp3mso--------s`, `Pp3msr--------s`, `Pp3msr--y-----s`, `Ps1fp-s`, `Ps1fsrp`, `Ps1fsrs`, `Ps1mp-p`, `Ps1ms-p`, `Ps2fp-s`, `Ps2fsrp`, `Ps2fsrs`, `Ps2ms-s`, `Ps3---p`, `Ps3---s`, `Ps3fp-s`, `Ps3fsrs`, `Ps3mp-s`, `Ps3ms-s`, `Pw3--r`, `Pw3-po`, `Pw3-so`, `Pw3fpr`, `Pw3fso`, `Pw3mpr`, `Pw3mso`, `Px3--a--------s`, `Px3--a--------w`, `Px3--a--y-----w`, `Px3--d--------w`, `Px3--d--y-----w`, `Pz3-sr`, `Pz3fsr`, `QUEST`, `QUOT`, `Qf`, `Qn`, `Qs`, `Qs-y`, `Qz`, `Qz-y`, `RCURL`, `RPAR`, `RSQR`, `Rc`, `Rgc`, `Rgp`, `Rgpy`, `Rgs`, `Rp`, `Rw`, `Rw-y`, `Rz`, `SCOLON`, `SLASH`, `STAR`, `Sp`, `Spsa`, `Spsay`, `Spsd`, `Spsg`, `Td-po`, `Tdfpr`, `Tdfso`, `Tdfsr`, `Tdmpr`, `Tdmso`, `Tdmsr`, `Tf-so`, `Tffpoy`, `Tffpry`, `Tffs-y`, `Tfmpoy`, `Tfms-y`, `Tfmsoy`, `Tfmsry`, `Ti-po`, `Tifp-y`, `Tifso`, `Tifsr`, `Timso`, `Timsr`, `Tsfp`, `Tsfs`, `Tsmp`, `Tsms`, `UNDERSC`, `Va--1`, `Va--1-----y`, `Va--1p`, `Va--1s`, `Va--1s----y`, `Va--2p`, `Va--2p----y`, `Va--2s`, `Va--2s----y`, `Va--3`, `Va--3-----y`, `Va--3p`, `Va--3p----y`, `Va--3s`, `Va--3s----y`, `Vag`, `Vaii1`, `Vaii2s`, `Vaii3p`, `Vaii3s`, `Vail3p`, `Vail3s`, `Vaip1p`, `Vaip1s`, `Vaip2p`, `Vaip2s`, `Vaip3p`, `Vaip3p----y`, `Vaip3s`, `Vaip3s----y`, `Vais3p`, `Vais3s`, `Vam-2s`, `Vanp`, `Vap--sm`, `Vasp1p`, `Vasp1s`, `Vasp2p`, `Vasp2s`, `Vasp3`, `Vmg`, `Vmg-------y`, `Vmii1`, `Vmii1-----y`, `Vmii2p`, `Vmii2s`, `Vmii3p`, `Vmii3p----y`, `Vmii3s`, `Vmii3s----y`, `Vmil1`, `Vmil1p`, `Vmil2s`, `Vmil3p`, `Vmil3p----y`, `Vmil3s`, `Vmil3s----y`, `Vmip1p`, `Vmip1p----y`, `Vmip1s`, `Vmip1s----y`, `Vmip2p`, `Vmip2s`, `Vmip2s----y`, `Vmip3`, `Vmip3-----y`, `Vmip3p`, `Vmip3s`, `Vmip3s----y`, `Vmis1p`, `Vmis1s`, `Vmis3p`, `Vmis3p----y`, `Vmis3s`, `Vmis3s----y`, `Vmm-2p`, `Vmm-2s`, `Vmnp`, `Vmnp------y`, `Vmp--pf`, `Vmp--pm`, `Vmp--sf`, `Vmp--sm`, `Vmp--sm---y`, `Vmsp1p`, `Vmsp1s`, `Vmsp2s`, `Vmsp3`, `Vmsp3-----y`, `X`, `Y`, `Ya`, `Yn`, `Ynfsoy`, `Ynfsry`, `Ynmsoy`, `Ynmsry`, `Yp`, `Yp-sr`, `Yr` |
| **`morphologizer`** | `Case=Dat,Gen\|Definite=Def\|Number=Sing\|POS=DET\|PronType=Art`, `POS=PROPN`, `Case=Dat\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs\|Strength=Weak`, `Mood=Ind\|Number=Sing\|POS=VERB\|Person=3\|Tense=Pqp\|VerbForm=Fin`, `Case=Acc,Nom\|Definite=Def\|Gender=Fem\|Number=Sing\|POS=NOUN`, `Case=Acc,Nom\|Gender=Fem\|Number=Sing\|POS=DET\|Person=3\|Position=Postnom\|PronType=Dem`, `AdpType=Prep\|Case=Acc\|POS=ADP`, `Case=Acc,Nom\|Definite=Def\|Gender=Masc\|NumForm=Word\|NumType=Ord\|Number=Sing\|POS=NUM`, `Definite=Ind\|Gender=Masc\|Number=Sing\|POS=NOUN`, `POS=ADV\|PronType=Int,Rel`, `Case=Acc\|Gender=Fem\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs\|Strength=Weak`, `POS=PUNCT`, `Mood=Ind\|Number=Sing\|POS=VERB\|Person=3\|Tense=Imp\|VerbForm=Fin`, `POS=CCONJ\|Polarity=Pos`, `Case=Acc,Nom\|POS=PRON\|Person=3\|PronType=Int,Rel`, `Case=Dat,Gen\|Definite=Def\|Gender=Fem\|Number=Sing\|POS=NOUN`, `Definite=Ind\|Gender=Fem\|Number=Plur\|POS=NOUN`, `Definite=Ind\|Degree=Pos\|Number=Plur\|POS=ADJ`, `Case=Acc,Nom\|Definite=Ind\|Gender=Fem\|Number=Sing\|POS=NOUN`, `Mood=Sub\|POS=PART\|Variant=Short`, `Mood=Sub\|POS=VERB\|Person=3\|Tense=Pres\|VerbForm=Fin`, `Case=Acc,Nom\|Definite=Def\|Gender=Masc\|Number=Sing\|POS=NOUN`, `Number[psor]=Sing\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Case=Acc\|POS=PRON\|Person=3\|PronType=Prs\|Reflex=Yes\|Strength=Weak`, `POS=AUX\|Tense=Pres\|VerbForm=Inf`, `Gender=Masc\|Number=Sing\|POS=VERB\|VerbForm=Part`, `POS=ADV`, `Degree=Pos\|POS=ADV`, `POS=PART\|Polarity=Neg`, `Mood=Ind\|Number=Sing\|POS=VERB\|Person=2\|Tense=Imp\|VerbForm=Fin`, `Mood=Sub\|POS=PART`, `Case=Acc\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs\|Strength=Weak\|Variant=Short`, `Mood=Ind\|Number=Sing\|POS=VERB\|Person=2\|Tense=Pres\|VerbForm=Fin`, `Case=Acc,Nom\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=3\|PronType=Ind`, `Case=Acc,Nom\|POS=DET\|Person=3\|Position=Prenom\|PronType=Ind`, `Case=Acc,Nom\|Gender=Fem\|Number=Plur\|POS=PRON\|Person=3\|PronType=Dem`, `Definite=Ind\|Degree=Pos\|Gender=Fem\|Number=Plur\|POS=ADJ`, `Case=Acc,Nom\|Definite=Def\|Gender=Fem\|Number=Plur\|POS=NOUN`, `Mood=Ind\|Number=Plur\|POS=AUX\|Person=3\|Tense=Imp\|VerbForm=Fin`, `Case=Acc,Nom\|Gender=Fem\|Number=Plur\|POS=DET\|PronType=Dem`, `Gender=Fem\|Number=Plur\|POS=DET\|Poss=Yes\|PronType=Prs`, `Case=Dat,Gen\|Definite=Def\|Gender=Masc\|Number=Sing\|POS=NOUN`, `Mood=Ind\|Number=Plur\|POS=VERB\|Person=3\|Tense=Imp\|VerbForm=Fin`, `Definite=Ind\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=ADJ`, `Case=Acc\|Number=Sing\|POS=PRON\|Person=2\|PronType=Prs\|Strength=Weak`, `POS=SCONJ\|Polarity=Pos`, `Mood=Ind\|Number=Sing\|POS=AUX\|Person=3\|Tense=Pres\|VerbForm=Fin`, `Case=Acc,Nom\|Definite=Ind\|Degree=Pos\|Gender=Fem\|Number=Sing\|POS=ADJ`, `Case=Acc,Nom\|Gender=Fem\|Number=Plur\|POS=PRON\|Person=3\|PronType=Ind`, `Case=Acc,Nom\|Gender=Fem\|Number=Sing\|POS=DET\|PronType=Ind`, `Case=Acc,Nom\|Gender=Fem\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs\|Strength=Strong`, `Mood=Ind\|Number=Sing\|POS=AUX\|Person=3\|Tense=Pqp\|VerbForm=Fin`, `POS=AUX\|Person=3`, `POS=VERB\|Tense=Pres\|VerbForm=Inf`, `Case=Acc,Nom\|Number=Sing\|POS=PRON\|Person=3\|PronType=Ind`, `Case=Acc,Nom\|Gender=Fem\|Number=Plur\|POS=DET\|Person=3\|PronType=Int,Rel`, `Case=Acc,Nom\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs\|Strength=Strong`, `Case=Acc,Nom\|Gender=Fem\|Number=Sing\|POS=DET\|Person=3\|PronType=Dem`, `Mood=Ind\|Number=Sing\|POS=AUX\|Person=3\|Tense=Imp\|VerbForm=Fin`, `Case=Acc,Nom\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Ind`, `Gender=Masc\|Number=Sing\|POS=DET\|Poss=Yes\|PronType=Prs`, `Degree=Pos\|POS=ADJ`, `Case=Acc,Nom\|Definite=Def\|Gender=Masc\|Number=Plur\|POS=NOUN`, `Mood=Ind\|Number=Plur\|POS=VERB\|Person=3\|Tense=Pqp\|VerbForm=Fin`, `POS=VERB\|VerbForm=Ger`, `Gender=Fem\|Number=Sing\|POS=DET\|Poss=Yes\|PronType=Prs`, `Case=Dat,Gen\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Ind`, `Mood=Ind\|Number=Sing\|POS=VERB\|Person=3\|Tense=Past\|VerbForm=Fin`, `Gender=Masc\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `POS=PART\|PartType=Inf`, `Case=Dat\|POS=PRON\|Person=3\|PronType=Prs\|Reflex=Yes\|Strength=Weak\|Variant=Short`, `Case=Acc,Nom\|POS=DET\|Person=3\|Position=Prenom\|PronType=Int,Rel`, `Case=Acc,Nom\|Gender=Masc\|Number=Plur\|POS=DET\|Person=3\|Position=Prenom\|PronType=Dem`, `Definite=Ind\|Gender=Masc\|Number=Plur\|POS=NOUN`, `Case=Dat\|Number=Sing\|POS=PRON\|Person=2\|PronType=Prs\|Strength=Weak\|Variant=Short`, `NumForm=Word\|NumType=Card\|Number=Plur\|POS=NUM`, `Case=Acc\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs\|Strength=Weak`, `Case=Acc,Nom\|Gender=Masc\|Number=Plur\|POS=DET\|Person=3\|PronType=Ind`, `Case=Dat,Gen\|Gender=Fem\|Number=Sing\|POS=DET\|PronType=Ind`, `Case=Dat,Gen\|Definite=Ind\|Gender=Fem\|Number=Sing\|POS=NOUN`, `Gender=Fem\|Number=Plur\|POS=VERB\|VerbForm=Part`, `POS=ADV\|PronType=Neg`, `AdpType=Prep\|Case=Acc\|POS=ADP\|Variant=Short`, `Case=Acc,Nom\|Definite=Ind\|Degree=Sup\|Gender=Fem\|Number=Sing\|POS=ADJ`, `Case=Acc,Nom\|Gender=Masc\|Number=Sing\|POS=DET\|Person=3\|Position=Postnom\|PronType=Dem`, `Number=Sing\|POS=AUX\|Person=2`, `Case=Acc,Nom\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Dem`, `Gender=Fem\|NumForm=Word\|NumType=Card\|Number=Plur\|POS=NUM`, `Case=Acc,Nom\|Gender=Masc\|Number=Sing\|POS=DET\|Person=3\|Position=Prenom\|PronType=Dem`, `Case=Acc,Nom\|Gender=Fem\|Number=Plur\|POS=DET\|Person=3\|PronType=Ind`, `Gender=Fem\|Number=Sing\|POS=VERB\|VerbForm=Part`, `Case=Acc,Nom\|Gender=Masc\|Number=Plur\|POS=PRON\|Person=3\|PronType=Prs\|Strength=Strong`, `Definite=Ind\|Degree=Pos\|Gender=Fem\|POS=ADJ`, `Case=Dat,Gen\|Definite=Ind\|Degree=Pos\|Gender=Fem\|Number=Sing\|POS=ADJ`, `Case=Acc,Nom\|Gender=Fem\|Number=Sing\|POS=PRON\|Person=3\|PronType=Dem`, `Case=Acc,Nom\|Gender=Masc\|Number=Sing\|POS=DET\|Person=3\|PronType=Ind`, `Case=Acc,Nom\|Number=Sing\|POS=PRON\|Person=3\|PronType=Neg`, `Case=Acc,Nom\|Gender=Fem\|Number=Sing\|POS=PRON\|Person=3\|PronType=Ind`, `Gender=Masc\|Number=Sing\|POS=DET\|Person=3\|PronType=Emp`, `Mood=Ind\|Number=Sing\|POS=VERB\|Person=3\|Tense=Pres\|VerbForm=Fin`, `Case=Dat,Gen\|Number=Plur\|POS=DET\|PronType=Dem`, `Mood=Sub\|POS=AUX\|Person=3\|Tense=Pres\|VerbForm=Fin`, `NumForm=Word\|NumType=Ord\|POS=NUM`, `AdpType=Prep\|Case=Gen\|POS=ADP`, `Case=Dat,Gen\|Definite=Def\|Gender=Masc\|Number=Plur\|POS=NOUN`, `AdpType=Prep\|POS=PUNCT`, `Gender=Masc\|Number=Plur\|POS=VERB\|VerbForm=Part`, `Case=Dat\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs\|Strength=Weak\|Variant=Short`, `Case=Dat\|POS=PRON\|Person=3\|PronType=Prs\|Reflex=Yes\|Strength=Weak`, `Case=Dat,Gen\|Definite=Def\|Gender=Fem\|Number=Plur\|POS=NOUN`, `Case=Acc,Nom\|Gender=Masc\|Number=Plur\|POS=PRON\|Person=3\|PronType=Ind`, `Gender=Masc\|Number=Sing\|POS=DET\|Person=3\|PronType=Ind`, `Case=Acc,Nom\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=3\|PronType=Dem`, `Definite=Ind\|Degree=Pos\|Gender=Masc\|Number=Plur\|POS=ADJ`, `Case=Acc\|POS=PRON\|Person=3\|PronType=Prs\|Reflex=Yes\|Strength=Strong`, `Case=Acc,Nom\|Gender=Fem\|Number=Plur\|POS=DET\|Person=3\|Position=Prenom\|PronType=Dem`, `Case=Acc,Nom\|Gender=Fem\|Number=Sing\|POS=DET\|Person=3\|PronType=Ind`, `Case=Acc,Nom\|Number=Sing\|POS=DET\|Person=3\|Position=Prenom\|PronType=Ind`, `Case=Acc,Nom\|Definite=Ind\|Gender=Fem\|NumForm=Word\|NumType=Card\|Number=Sing\|POS=NUM`, `Case=Dat,Gen\|Number=Plur\|POS=DET\|Person=3\|PronType=Ind`, `Case=Dat,Gen\|Number=Plur\|POS=DET\|Person=3\|Position=Prenom\|PronType=Dem`, `Case=Acc,Nom\|Gender=Masc\|Number=Plur\|POS=DET\|Person=3\|Position=Prenom\|PronType=Ind`, `Case=Acc,Nom\|Gender=Fem\|Number=Plur\|POS=DET\|Person=3\|Position=Prenom\|PronType=Ind`, `Case=Dat,Gen\|Gender=Fem\|Number=Sing\|POS=DET\|Person=3\|Position=Prenom\|PronType=Int,Rel`, `Gender=Masc\|Number=Sing\|POS=AUX\|VerbForm=Part`, `POS=VERB\|Variant=Short\|VerbForm=Ger`, `Case=Acc\|Gender=Masc\|Number=Plur\|POS=PRON\|Person=3\|PronType=Prs\|Strength=Weak\|Variant=Short`, `Case=Acc\|Gender=Fem\|Number=Plur\|POS=PRON\|Person=3\|PronType=Prs\|Strength=Weak`, `Case=Acc,Nom\|Gender=Masc\|Number=Sing\|POS=DET\|Person=3\|Position=Prenom\|PronType=Ind`, `Gender=Masc\|NumForm=Word\|NumType=Ord\|Number=Sing\|POS=NUM`, `Number=Sing\|POS=AUX\|Person=3`, `Case=Acc,Nom\|Definite=Def\|Gender=Fem\|NumForm=Word\|NumType=Ord\|Number=Sing\|POS=NUM`, `Case=Acc,Nom\|Definite=Def\|Degree=Pos\|Gender=Fem\|Number=Sing\|POS=ADJ`, `Case=Dat,Gen\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs\|Strength=Strong`, `Mood=Ind\|Number=Plur\|POS=VERB\|Person=3\|Tense=Past\|VerbForm=Fin`, `Case=Acc,Nom\|Gender=Fem\|Number=Sing\|POS=DET\|Person=3\|Position=Prenom\|PronType=Dem`, `Mood=Ind\|POS=VERB\|Person=1\|Tense=Imp\|VerbForm=Fin`, `Case=Acc,Nom\|Number=Sing\|POS=PRON\|Person=2\|PronType=Prs\|Strength=Strong`, `POS=AUX\|Person=1`, `Case=Dat,Gen\|Number=Sing\|POS=PRON\|Person=2\|PronType=Prs\|Strength=Strong`, `Case=Acc\|Number=Sing\|POS=PRON\|Person=2\|PronType=Prs\|Strength=Strong`, `Case=Acc,Nom\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Dem`, `Case=Nom\|Number=Sing\|POS=PRON\|Person=1\|PronType=Prs\|Strength=Strong`, `Mood=Ind\|Number=Sing\|POS=AUX\|Person=1\|Tense=Pres\|VerbForm=Fin`, `Case=Acc,Nom\|Gender=Fem\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `POS=PART\|Polarity=Neg\|Variant=Short`, `Case=Dat\|Number=Sing\|POS=PRON\|Person=1\|PronType=Prs\|Strength=Weak`, `Mood=Ind\|POS=VERB\|Person=3\|Tense=Pres\|VerbForm=Fin`, `Gender=Masc\|Number=Sing\|POS=DET\|Person=3\|Position=Prenom\|PronType=Ind`, `Case=Acc,Nom\|Gender=Masc\|NumType=Card\|Number=Plur\|POS=NUM\|PronType=Tot`, `Mood=Ind\|POS=VERB\|Person=1\|Tense=Pqp\|VerbForm=Fin`, `Mood=Ind\|Number=Sing\|POS=VERB\|Person=1\|Tense=Pres\|VerbForm=Fin`, `Case=Acc\|POS=PRON\|Person=3\|PronType=Prs\|Reflex=Yes\|Strength=Weak\|Variant=Short`, `Number=Plur\|POS=AUX\|Person=3`, `Gender=Fem\|NumForm=Word\|NumType=Ord\|Number=Sing\|POS=NUM`, `Case=Dat,Gen\|Definite=Def\|Gender=Fem\|Number=Sing\|POS=PROPN`, `POS=SCONJ\|Polarity=Pos\|Variant=Short`, `Case=Acc,Nom\|Number=Plur\|POS=PRON\|Person=1\|PronType=Prs\|Strength=Strong`, `Mood=Ind\|Number=Plur\|POS=VERB\|Person=1\|Tense=Pres\|VerbForm=Fin`, `Case=Acc,Nom\|Gender=Fem\|Number=Sing\|POS=DET\|Person=3\|Position=Prenom\|PronType=Ind`, `Case=Acc\|Number=Sing\|POS=PRON\|Person=2\|PronType=Prs\|Strength=Weak\|Variant=Short`, `Mood=Ind\|Number=Plur\|POS=VERB\|Person=3\|Tense=Pres\|VerbForm=Fin`, `POS=PART\|Tense=Fut`, `Mood=Imp\|Number=Sing\|POS=VERB\|Person=2\|VerbForm=Fin`, `Case=Acc\|Number=Sing\|POS=PRON\|Person=1\|PronType=Prs\|Strength=Strong`, `Case=Dat\|Number=Sing\|POS=PRON\|Person=2\|PronType=Prs\|Strength=Weak`, `Case=Acc\|Gender=Fem\|Number=Plur\|POS=PRON\|Person=3\|PronType=Prs\|Strength=Weak\|Variant=Short`, `Gender=Fem\|Number=Plur\|POS=DET\|Person=3\|PronType=Ind`, `POS=DET\|Person=3\|PronType=Ind`, `Mood=Ind\|Number=Plur\|POS=VERB\|Person=2\|Tense=Pres\|VerbForm=Fin`, `Case=Acc\|Number=Plur\|POS=PRON\|Person=2\|PronType=Prs\|Strength=Weak`, `Case=Voc\|Definite=Def\|Gender=Masc\|Number=Sing\|POS=NOUN`, `Case=Acc,Nom\|Gender=Masc\|Number=Plur\|POS=PRON\|Person=3\|PronType=Dem`, `Case=Acc,Nom\|Definite=Def\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=ADJ`, `Case=Dat,Gen\|Gender=Fem\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Case=Acc,Nom\|Gender=Fem\|Number=Sing\|POS=DET\|Person=3\|PronType=Emp`, `Case=Acc,Nom\|POS=PRON\|Person=3\|PronType=Ind`, `Case=Dat,Gen\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Dem`, `Definite=Ind\|NumForm=Word\|NumType=Ord\|POS=NUM`, `Case=Dat,Gen\|Number=Plur\|POS=PRON\|Person=3\|PronType=Dem`, `Mood=Ind\|Number=Plur\|POS=AUX\|Person=3\|Tense=Pres\|VerbForm=Fin`, `Gender=Masc\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Case=Dat,Gen\|Definite=Def\|Gender=Fem\|Number=Plur\|POS=DET\|PronType=Art\|Variant=Short`, `Case=Acc,Nom\|Gender=Masc\|Number=Sing\|POS=DET\|Person=3\|PronType=Int,Rel`, `Gender=Masc\|Number=Plur\|POS=DET\|Poss=Yes\|PronType=Prs`, `Number[psor]=Plur\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Gender=Masc\|NumForm=Word\|NumType=Card\|Number=Plur\|POS=NUM`, `Case=Dat,Gen\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=3\|PronType=Ind`, `Definite=Ind\|Gender=Masc\|POS=NOUN`, `Gender=Masc\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=2\|Poss=Yes\|PronType=Prs`, `Mood=Ind\|Number=Sing\|POS=AUX\|Person=2\|Tense=Imp\|VerbForm=Fin`, `Case=Acc,Nom\|Gender=Masc\|NumForm=Word\|NumType=Card\|Number=Sing\|POS=NUM`, `Case=Acc,Nom\|Gender=Fem\|Number=Plur\|POS=DET\|Person=3\|Position=Postnom\|PronType=Dem`, `Case=Acc,Nom\|Gender=Fem\|Number=Sing\|POS=DET\|PronType=Dem`, `Definite=Ind\|Gender=Fem\|NumForm=Word\|NumType=Card\|Number=Plur\|POS=NUM`, `Case=Acc,Nom\|Gender=Fem\|Number=Plur\|POS=PRON\|Person=3\|PronType=Int,Rel`, `Case=Acc,Nom\|Gender=Fem\|Number=Plur\|POS=PRON\|Person=3\|PronType=Prs\|Strength=Strong`, `Number[psor]=Sing\|POS=PRON\|Person=3\|Poss=Yes\|PronType=Prs`, `Case=Dat,Gen\|Number=Plur\|POS=DET\|PronType=Ind`, `Case=Acc,Nom\|Number=Sing\|POS=DET\|Person=3\|PronType=Ind`, `NumForm=Digit\|NumType=Card\|Number=Plur\|POS=NUM`, `Case=Acc,Nom\|Definite=Def\|Gender=Masc\|NumForm=Word\|NumType=Ord\|Number=Plur\|POS=NUM`, `POS=INTJ`, `Case=Acc\|Number=Plur\|POS=PRON\|Person=1\|PronType=Prs\|Strength=Weak`, `Mood=Ind\|Number=Sing\|POS=VERB\|Person=3\|Tense=Pres\|Variant=Short\|VerbForm=Fin`, `Mood=Ind\|Number=Sing\|POS=AUX\|Person=3\|Tense=Pres\|Variant=Short\|VerbForm=Fin`, `Case=Acc\|Number=Sing\|POS=PRON\|Person=1\|PronType=Prs\|Strength=Weak`, `Case=Acc,Nom\|Gender=Fem\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=2\|Poss=Yes\|PronType=Prs`, `Case=Dat,Gen\|Definite=Def\|Degree=Pos\|Gender=Fem\|Number=Sing\|POS=ADJ`, `Case=Dat,Gen\|Gender=Fem\|Number=Sing\|POS=PRON\|Person=3\|PronType=Int,Rel`, `Case=Dat\|Number=Sing\|POS=PRON\|Person=1\|PronType=Prs\|Strength=Weak\|Variant=Short`, `Case=Acc\|Number=Sing\|POS=PRON\|Person=1\|PronType=Prs\|Strength=Weak\|Variant=Short`, `Mood=Ind\|Number=Sing\|POS=AUX\|Person=2\|Tense=Pres\|VerbForm=Fin`, `Case=Dat,Gen\|Number=Plur\|POS=PRON\|Person=3\|PronType=Ind`, `Case=Acc,Nom\|Gender=Masc\|Number=Plur\|POS=DET\|Person=3\|Position=Postnom\|PronType=Dem`, `Case=Acc\|Gender=Fem\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs\|Strength=Weak\|Variant=Short`, `Definite=Ind\|Degree=Pos\|Gender=Masc\|POS=ADJ`, `Mood=Sub\|Number=Sing\|POS=AUX\|Person=2\|Tense=Pres\|VerbForm=Fin`, `Case=Dat,Gen\|Gender=Masc\|Number=Sing\|POS=DET\|Person=3\|Position=Prenom\|PronType=Ind`, `Mood=Ind\|Number=Sing\|POS=VERB\|Person=2\|Tense=Pqp\|VerbForm=Fin`, `Case=Dat,Gen\|Gender=Masc\|Number=Plur\|POS=PRON\|Person=3\|PronType=Dem`, `Mood=Ind\|Number=Sing\|POS=AUX\|Person=3\|Tense=Past\|VerbForm=Fin`, `Case=Voc\|Definite=Ind\|Gender=Masc\|Number=Sing\|POS=NOUN`, `Case=Acc\|Number=Plur\|POS=PRON\|Person=2\|PronType=Prs\|Strength=Weak\|Variant=Short`, `Case=Acc,Nom\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=3\|PronType=Ind\|Variant=Short`, `Case=Acc,Nom\|Definite=Def\|Degree=Pos\|Gender=Fem\|Number=Plur\|POS=ADJ`, `Mood=Imp\|Number=Plur\|POS=VERB\|Person=2\|VerbForm=Fin`, `POS=CCONJ\|Polarity=Pos\|Variant=Short`, `Number=Plur\|POS=AUX\|Person=2`, `Case=Dat,Gen\|Definite=Def\|Degree=Pos\|Gender=Fem\|Number=Plur\|POS=ADJ`, `Case=Dat\|Number=Plur\|POS=PRON\|Person=2\|PronType=Prs\|Strength=Weak`, `Case=Acc,Nom\|Gender=Masc\|Number=Plur\|POS=DET\|Person=3\|PronType=Dem`, `Case=Dat\|Number=Sing\|POS=PRON\|Person=2\|PronType=Prs\|Strength=Strong`, `Case=Dat,Gen\|Definite=Def\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Art\|Variant=Short`, `POS=AUX\|VerbForm=Ger`, `Case=Acc,Nom\|Definite=Def\|Gender=Fem\|NumForm=Word\|NumType=Card\|Number=Plur\|POS=NUM`, `Case=Dat,Gen\|Gender=Fem\|Number=Sing\|POS=DET\|Person=3\|Position=Prenom\|PronType=Dem`, `Case=Dat\|Number=Plur\|POS=PRON\|Person=3\|PronType=Prs\|Strength=Weak\|Variant=Short`, `Case=Dat\|Number=Plur\|POS=PRON\|Person=3\|PronType=Prs\|Strength=Weak`, `Mood=Ind\|Number=Plur\|POS=AUX\|Person=3\|Tense=Pqp\|VerbForm=Fin`, `POS=PRON\|Person=3\|PronType=Ind`, `Definite=Ind\|Gender=Fem\|POS=NOUN`, `Mood=Ind\|Number=Plur\|POS=VERB\|Person=2\|Tense=Imp\|VerbForm=Fin`, `Case=Acc,Nom\|Definite=Def\|Gender=Fem\|Number=Sing\|POS=NOUN\|Variant=Short`, `Case=Dat,Gen\|Definite=Def\|Gender=Fem\|NumForm=Word\|NumType=Ord\|Number=Sing\|POS=NUM`, `Degree=Sup\|POS=ADV`, `Case=Acc,Nom\|Definite=Def\|Gender=Fem\|NumForm=Word\|NumType=Ord\|Number=Plur\|POS=NUM`, `POS=ADV\|PronType=Int,Rel\|Variant=Short`, `Mood=Ind\|Number=Sing\|POS=VERB\|Person=2\|Tense=Pres\|Variant=Short\|VerbForm=Fin`, `Case=Acc,Nom\|Definite=Def\|Gender=Masc\|Number=Sing\|POS=NOUN\|Variant=Short`, `Case=Dat\|Number=Sing\|POS=PRON\|Person=1\|PronType=Prs\|Strength=Strong`, `Case=Dat,Gen\|Definite=Def\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Art\|Variant=Short`, `Case=Dat,Gen\|Number=Sing\|POS=PRON\|Person=3\|PronType=Ind`, `Case=Acc,Nom\|Gender=Fem\|Number=Plur\|POS=DET\|Person=3\|PronType=Dem`, `Case=Dat,Gen\|Gender=Fem\|Number=Plur\|POS=DET\|Person=3\|PronType=Dem`, `Mood=Ind\|Number=Sing\|POS=VERB\|Person=1\|Tense=Pres\|Variant=Short\|VerbForm=Fin`, `Case=Acc\|Gender=Masc\|Number=Plur\|POS=PRON\|Person=3\|PronType=Prs\|Strength=Weak`, `Degree=Pos\|POS=ADV\|Variant=Short`, `Gender=Fem\|Number=Plur\|Number[psor]=Sing\|POS=PRON\|Person=2\|Poss=Yes\|PronType=Prs`, `Abbr=Yes\|POS=NOUN`, `Case=Dat,Gen\|Gender=Masc\|Number=Sing\|POS=DET\|Person=3\|Position=Prenom\|PronType=Int,Rel`, `POS=NOUN`, `Case=Dat,Gen\|Gender=Masc\|Number=Sing\|POS=DET\|Person=3\|Position=Prenom\|PronType=Dem`, `AdpType=Prep\|Case=Dat\|POS=ADP`, `Case=Dat,Gen\|Gender=Fem\|Number=Sing\|POS=PRON\|Person=3\|PronType=Dem`, `Case=Acc,Nom\|Definite=Ind\|Gender=Fem\|NumForm=Word\|NumType=Card\|Number=Plur\|POS=NUM`, `AdpType=Prep\|POS=SYM`, `Case=Acc,Nom\|Gender=Fem\|NumType=Card\|Number=Plur\|POS=NUM\|PronType=Tot`, `Case=Dat,Gen\|Definite=Def\|Gender=Masc\|Number=Plur\|POS=PROPN`, `Case=Dat\|Number=Plur\|POS=PRON\|Person=1\|PronType=Prs\|Strength=Weak`, `POS=PRON\|Person=2\|PronType=Prs\|Strength=Strong`, `Case=Dat\|Number=Plur\|POS=PRON\|Person=2\|PronType=Prs\|Strength=Weak\|Variant=Short`, `POS=SYM`, `POS=X`, `Abbr=Yes\|POS=X`, `Case=Dat,Gen\|Definite=Def\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=ADJ`, `Case=Dat,Gen\|Number=Plur\|POS=PRON\|Person=3\|PronType=Int,Rel`, `Gender=Masc\|Number=Plur\|Number[psor]=Sing\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Case=Dat,Gen\|Gender=Fem\|Number=Sing\|Number[psor]=Plur\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Case=Acc,Nom\|Gender=Fem\|Number=Sing\|Number[psor]=Sing\|POS=PRON\|Person=3\|Poss=Yes\|PronType=Prs`, `Case=Dat,Gen\|Definite=Def\|Gender=Masc\|Number=Sing\|POS=PROPN`, `Abbr=Yes\|POS=ADV`, `Case=Acc,Nom\|Definite=Def\|Gender=Masc\|Number=Sing\|POS=PROPN`, `Case=Acc,Nom\|Gender=Fem\|Number=Sing\|Number[psor]=Plur\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Case=Dat,Gen\|Definite=Def\|Gender=Masc\|NumForm=Word\|NumType=Ord\|Number=Sing\|POS=NUM`, `Mood=Ind\|Number=Plur\|POS=AUX\|Person=1\|Tense=Pres\|VerbForm=Fin`, `Case=Dat,Gen\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=3\|PronType=Dem`, `Case=Dat,Gen\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=3\|PronType=Int,Rel`, `Case=Dat,Gen\|Definite=Def\|Degree=Pos\|Number=Plur\|POS=ADJ`, `Case=Dat,Gen\|Number=Plur\|POS=DET\|Person=3\|Position=Prenom\|PronType=Int,Rel`, `NumForm=Roman\|NumType=Ord\|Number=Sing\|POS=NUM`, `Case=Voc\|Definite=Def\|Gender=Fem\|Number=Sing\|POS=NOUN`, `Gender=Fem\|Number=Plur\|Number[psor]=Sing\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Case=Dat,Gen\|Definite=Ind\|Degree=Cmp\|Gender=Fem\|Number=Sing\|POS=ADJ`, `Mood=Ind\|Number=Plur\|POS=AUX\|Person=2\|Tense=Pres\|VerbForm=Fin`, `Gender=Masc\|Number=Sing\|Number[psor]=Plur\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Case=Acc\|Number=Plur\|POS=PRON\|Person=1\|PronType=Prs\|Strength=Weak\|Variant=Short`, `Case=Dat,Gen\|Number=Plur\|POS=DET\|Person=3\|Position=Prenom\|PronType=Ind`, `Case=Dat\|Number=Plur\|POS=PRON\|Person=1\|PronType=Prs\|Strength=Weak\|Variant=Short`, `Gender=Masc\|Number=Plur\|Number[psor]=Sing\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Mood=Ind\|Number=Plur\|POS=AUX\|Person=3\|Tense=Past\|VerbForm=Fin`, `Case=Dat,Gen\|Definite=Def\|Gender=Masc\|NumForm=Word\|NumType=Ord\|Number=Plur\|POS=NUM`, `Case=Acc,Nom\|Definite=Def\|Degree=Pos\|Gender=Masc\|Number=Plur\|POS=ADJ`, `Abbr=Yes\|Case=Acc,Nom\|Number=Sing\|POS=PRON`, `Foreign=Yes\|POS=PROPN`, `Definite=Ind\|Foreign=Yes\|Gender=Masc\|Number=Sing\|POS=NOUN`, `Definite=Ind\|Degree=Pos\|Foreign=Yes\|Gender=Masc\|Number=Sing\|POS=ADJ`, `Definite=Ind\|Degree=Cmp\|Gender=Fem\|Number=Plur\|POS=ADJ`, `Definite=Def\|Gender=Fem\|Number=Sing\|POS=DET\|PronType=Art\|Variant=Short`, `Definite=Ind\|Gender=Masc\|NumForm=Word\|NumType=Ord\|Number=Sing\|POS=NUM`, `Definite=Ind\|Degree=Pos\|Foreign=Yes\|Gender=Fem\|POS=ADJ`, `Case=Acc,Nom\|Gender=Fem\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Definite=Def\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Art\|Variant=Short`, `Case=Acc,Nom\|Definite=Def\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Art\|Variant=Short`, `Case=Acc,Nom\|Definite=Ind\|Degree=Cmp\|Gender=Fem\|Number=Sing\|POS=ADJ`, `Gender=Fem\|Number=Plur\|Number[psor]=Plur\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Case=Acc,Nom\|Gender=Masc\|Number=Plur\|POS=DET\|Person=3\|PronType=Int,Rel`, `Foreign=Yes\|POS=X`, `Definite=Ind\|Gender=Masc\|NumForm=Word\|NumType=Card\|Number=Sing\|POS=NUM`, `Case=Dat,Gen\|Gender=Fem\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs\|Strength=Strong`, `Case=Dat,Gen\|Gender=Fem\|Number=Sing\|POS=DET\|Person=3\|Position=Prenom\|PronType=Ind`, `Foreign=Yes\|POS=NOUN`, `Gender=Fem\|Number=Plur\|Number[psor]=Sing\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Gender=Fem\|Number=Plur\|Number[psor]=Plur\|POS=DET\|Person=2\|Poss=Yes\|PronType=Prs`, `Case=Dat,Gen\|Definite=Def\|Degree=Pos\|Gender=Masc\|Number=Plur\|POS=ADJ`, `Gender=Masc\|Number=Plur\|POS=DET\|Person=3\|PronType=Ind`, `Definite=Ind\|Degree=Cmp\|Gender=Masc\|Number=Sing\|POS=ADJ`, `Case=Acc,Nom\|Definite=Ind\|Gender=Masc\|Number=Sing\|POS=NOUN`, `Case=Dat,Gen\|Gender=Masc\|Number=Plur\|POS=DET\|Person=3\|PronType=Dem`, `Gender=Masc\|Number=Plur\|POS=DET\|Person=3\|PronType=Emp`, `Case=Acc,Nom\|Gender=Masc\|Number=Sing\|POS=DET\|Person=3\|Position=Prenom\|PronType=Neg`, `Case=Acc,Nom\|Gender=Fem\|Number=Sing\|POS=DET\|Person=3\|Position=Prenom\|PronType=Neg`, `Case=Acc,Nom\|Gender=Fem\|Number=Sing\|POS=PRON\|Person=3\|PronType=Neg`, `Case=Dat,Gen\|Gender=Fem\|Number=Sing\|POS=DET\|PronType=Dem`, `Case=Dat,Gen\|Definite=Def\|Gender=Fem\|NumForm=Word\|NumType=Ord\|Number=Plur\|POS=NUM`, `Case=Dat,Gen\|Number=Plur\|POS=PRON\|Person=3\|PronType=Prs\|Strength=Strong`, `Case=Dat,Gen\|Gender=Masc\|Number=Sing\|POS=DET\|Person=3\|Position=Prenom\|PronType=Neg`, `Case=Dat,Gen\|Gender=Fem\|Number=Sing\|POS=DET\|Person=3\|PronType=Ind`, `Case=Dat,Gen\|Gender=Fem\|Number=Sing\|POS=PRON\|Person=3\|PronType=Ind`, `Case=Acc,Nom\|Definite=Def\|Gender=Masc\|NumForm=Word\|NumType=Card\|Number=Sing\|POS=NUM`, `Gender=Fem\|Number=Plur\|POS=DET\|Person=3\|PronType=Emp`, `Definite=Ind\|POS=NOUN`, `Gender=Masc\|Number=Sing\|POS=DET\|Person=1\|PronType=Emp`, `Abbr=Yes\|POS=PRON`, `Case=Acc,Nom\|Gender=Fem\|Number=Sing\|Number[psor]=Sing\|POS=PRON\|Person=1\|Poss=Yes\|PronType=Prs`, `Number[psor]=Plur\|POS=PRON\|Person=3\|Poss=Yes\|PronType=Prs`, `Number=Sing\|POS=AUX\|Person=1`, `Case=Dat,Gen\|Gender=Fem\|Number=Sing\|POS=DET\|Person=3\|PronType=Emp`, `NumType=Card\|POS=NUM`, `Case=Dat,Gen\|Gender=Fem\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Case=Acc,Nom\|Gender=Masc\|Number=Sing\|POS=DET\|Person=3\|PronType=Dem`, `Mood=Ind\|Number=Plur\|POS=AUX\|Person=3\|Tense=Pres\|Variant=Short\|VerbForm=Fin`, `Gender=Fem\|Number=Plur\|Number[psor]=Sing\|POS=PRON\|Person=1\|Poss=Yes\|PronType=Prs`, `Mood=Ind\|Number=Sing\|POS=VERB\|Person=1\|Tense=Past\|VerbForm=Fin`, `Number=Sing\|POS=AUX\|Person=3\|Variant=Short`, `Number=Plur\|POS=AUX\|Person=2\|Variant=Short`, `Case=Acc,Nom\|Number=Plur\|POS=PRON\|Person=2\|PronType=Prs\|Strength=Strong`, `Gender=Masc\|Number=Sing\|Number[psor]=Plur\|POS=DET\|Person=2\|Poss=Yes\|PronType=Prs`, `Mood=Ind\|Number=Sing\|POS=VERB\|Person=3\|Tense=Past\|Variant=Short\|VerbForm=Fin`, `Definite=Ind\|Gender=Masc\|Number=Sing\|POS=NOUN\|Variant=Short`, `Gender=Masc\|Number=Sing\|Number[psor]=Plur\|POS=PRON\|Person=1\|Poss=Yes\|PronType=Prs`, `Number[psor]=Sing\|POS=DET\|Person=2\|Poss=Yes\|PronType=Prs`, `Gender=Masc\|Number=Plur\|Number[psor]=Plur\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Definite=Ind\|Degree=Pos\|Gender=Fem\|Number=Plur\|POS=ADJ\|Variant=Short`, `Mood=Ind\|Number=Plur\|POS=VERB\|Person=3\|Tense=Imp\|Variant=Short\|VerbForm=Fin`, `Number=Plur\|POS=AUX\|Person=3\|Variant=Short`, `Case=Acc,Nom\|Gender=Masc\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Mood=Ind\|POS=VERB\|Person=3\|Tense=Pres\|Variant=Short\|VerbForm=Fin`, `Gender=Masc\|Number=Plur\|Number[psor]=Plur\|POS=DET\|Person=2\|Poss=Yes\|PronType=Prs`, `Case=Dat,Gen\|Number=Sing\|POS=PRON\|Person=3\|PronType=Int,Rel`, `Case=Acc,Nom\|Definite=Def\|Gender=Masc\|Number=Plur\|POS=PROPN`, `Gender=Fem\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs\|Strength=Strong`, `Gender=Masc\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs\|Strength=Strong`, `Number=Plur\|POS=AUX\|Person=1`, `POS=VERB\|Tense=Pres\|Variant=Short\|VerbForm=Inf`, `Number=Sing\|POS=AUX\|Person=2\|Variant=Short`, `Case=Acc,Nom\|Gender=Fem\|Number=Sing\|Number[psor]=Plur\|POS=PRON\|Person=1\|Poss=Yes\|PronType=Prs`, `Case=Acc,Nom\|Gender=Masc\|Number=Plur\|POS=PRON\|Person=3\|PronType=Dem\|Variant=Short`, `Mood=Ind\|Number=Plur\|POS=VERB\|Person=1\|Tense=Past\|VerbForm=Fin`, `Case=Nom\|Number=Sing\|POS=PRON\|Person=2\|PronType=Prs\|Strength=Strong`, `Case=Acc,Nom\|Gender=Fem\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs\|Strength=Strong\|Variant=Short`, `Gender=Masc\|Number=Plur\|Number[psor]=Sing\|POS=PRON\|Person=3\|Poss=Yes\|PronType=Prs`, `Mood=Sub\|Number=Plur\|POS=VERB\|Person=1\|Tense=Pres\|VerbForm=Fin`, `Mood=Ind\|POS=AUX\|Person=1\|Tense=Imp\|VerbForm=Fin`, `Degree=Pos\|POS=ADV\|Polarity=Neg`, `Case=Acc,Nom\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs\|Strength=Strong\|Variant=Short`, `POS=AUX\|Person=3\|Variant=Short`, `Gender=Fem\|Number=Plur\|Number[psor]=Sing\|POS=DET\|Person=2\|Poss=Yes\|PronType=Prs`, `Gender=Masc\|Number=Sing\|POS=VERB\|Variant=Short\|VerbForm=Part`, `Case=Acc,Nom\|Gender=Fem\|Number=Sing\|POS=DET\|Person=3\|PronType=Int,Rel`, `Case=Dat,Gen\|Definite=Ind\|Gender=Fem\|Number=Sing\|POS=PROPN`, `Mood=Sub\|POS=VERB\|Person=3\|Tense=Pres\|Variant=Short\|VerbForm=Fin`, `Gender=Masc\|Number=Sing\|Number[psor]=Sing\|POS=PRON\|Person=2\|Poss=Yes\|PronType=Prs`, `Number=Sing\|POS=AUX\|Person=1\|Variant=Short`, `Case=Acc,Nom\|Gender=Fem\|Number=Sing\|Number[psor]=Sing\|POS=PRON\|Person=2\|Poss=Yes\|PronType=Prs`, `Mood=Sub\|Number=Sing\|POS=AUX\|Person=1\|Tense=Pres\|VerbForm=Fin`, `Case=Dat,Gen\|Definite=Ind\|Gender=Fem\|NumForm=Word\|NumType=Ord\|Number=Sing\|POS=NUM`, `Gender=Fem\|Number=Plur\|Number[psor]=Sing\|POS=PRON\|Person=3\|Poss=Yes\|PronType=Prs`, `Case=Acc,Nom\|Gender=Fem\|Number=Sing\|Number[psor]=Plur\|POS=DET\|Person=2\|Poss=Yes\|PronType=Prs`, `Definite=Ind\|Gender=Masc\|Number=Sing\|POS=PROPN`, `Case=Acc,Nom\|Gender=Fem\|Number=Sing\|Number[psor]=Plur\|POS=PRON\|Person=2\|Poss=Yes\|PronType=Prs`, `Definite=Ind\|Gender=Fem\|Number=Sing\|POS=NOUN`, `Case=Dat,Gen\|Gender=Fem\|NumType=Card\|Number=Plur\|POS=NUM\|PronType=Tot`, `Case=Acc,Nom\|Definite=Ind\|Gender=Fem\|NumForm=Word\|NumType=Ord\|Number=Sing\|POS=NUM`, `POS=ADV\|Polarity=Neg`, `Case=Acc,Nom\|Definite=Def\|Degree=Pos\|Foreign=Yes\|Gender=Fem\|Number=Sing\|POS=ADJ`, `AdpType=Prep\|Case=Acc\|Foreign=Yes\|POS=ADP`, `Mood=Ind\|Number=Plur\|POS=VERB\|Person=1\|Tense=Pres\|Variant=Short\|VerbForm=Fin`, `POS=AUX\|Person=1\|Variant=Short`, `Mood=Imp\|Number=Sing\|POS=AUX\|Person=2\|VerbForm=Fin`, `AdpType=Prep\|POS=ADP`, `Definite=Def\|Gender=Masc\|Number=Sing\|POS=NOUN`, `Case=Dat\|Number=Plur\|POS=PRON\|Person=1\|PronType=Prs\|Strength=Strong`, `Definite=Ind\|Gender=Fem\|NumForm=Word\|NumType=Ord\|Number=Plur\|POS=NUM`, `Mood=Sub\|Number=Sing\|POS=VERB\|Person=2\|Tense=Pres\|VerbForm=Fin`, `Case=Dat,Gen\|Definite=Def\|Degree=Cmp\|Gender=Masc\|Number=Plur\|POS=ADJ`, `Case=Acc,Nom\|Definite=Ind\|Gender=Fem\|Number=Sing\|POS=PROPN`, `Case=Dat,Gen\|Definite=Ind\|Gender=Fem\|NumForm=Word\|NumType=Card\|Number=Sing\|POS=NUM`, `Abbr=Yes\|Case=Dat,Gen\|Definite=Def\|Gender=Fem\|Number=Sing\|POS=NOUN`, `Abbr=Yes\|POS=ADJ`, `Gender=Masc\|Number=Plur\|Number[psor]=Sing\|POS=DET\|Person=2\|Poss=Yes\|PronType=Prs`, `Abbr=Yes\|Case=Acc,Nom\|Definite=Def\|Gender=Fem\|Number=Sing\|POS=NOUN`, `Foreign=Yes\|Gender=Masc\|Number=Sing\|POS=DET\|Poss=Yes\|PronType=Prs`, `Abbr=Yes\|Case=Acc,Nom\|Definite=Def\|Gender=Masc\|Number=Sing\|POS=NOUN`, `Case=Acc,Nom\|Gender=Masc\|Number=Plur\|POS=PRON\|Person=3\|PronType=Int,Rel`, `Abbr=Yes\|Case=Dat,Gen\|Definite=Def\|Gender=Masc\|Number=Sing\|POS=NOUN`, `Foreign=Yes\|POS=VERB\|Tense=Pres\|VerbForm=Inf`, `Foreign=Yes\|NumForm=Roman\|NumType=Ord\|Number=Sing\|POS=NUM`, `Definite=Ind\|Foreign=Yes\|Gender=Masc\|POS=NOUN`, `Case=Dat,Gen\|Number=Plur\|POS=DET\|Person=3\|Position=Postnom\|PronType=Dem`, `Case=Dat,Gen\|Gender=Fem\|Number=Sing\|POS=DET\|Person=3\|PronType=Dem`, `Mood=Ind\|POS=VERB\|Person=1\|Tense=Imp\|Variant=Short\|VerbForm=Fin`, `Mood=Sub\|Number=Plur\|POS=AUX\|Person=2\|Tense=Pres\|VerbForm=Fin`, `Gender=Masc\|Number=Plur\|Number[psor]=Plur\|POS=PRON\|Person=1\|Poss=Yes\|PronType=Prs`, `Mood=Ind\|Number=Sing\|POS=VERB\|Person=3\|Tense=Pqp\|Variant=Short\|VerbForm=Fin`, `Mood=Ind\|Number=Plur\|POS=VERB\|Person=3\|Tense=Past\|Variant=Short\|VerbForm=Fin`, `Mood=Ind\|Number=Plur\|POS=VERB\|Person=1\|Tense=Pqp\|VerbForm=Fin`, `Number=Plur\|POS=PRON\|Person=3\|PronType=Prs\|Strength=Strong`, `Case=Acc,Nom\|Definite=Def\|Foreign=Yes\|Gender=Fem\|Number=Sing\|POS=NOUN`, `Mood=Ind\|Number=Plur\|POS=VERB\|Person=3\|Tense=Pqp\|Variant=Short\|VerbForm=Fin`, `Gender=Masc\|Number=Sing\|Number[psor]=Sing\|POS=PRON\|Person=3\|Poss=Yes\|PronType=Prs`, `Mood=Sub\|Number=Plur\|POS=AUX\|Person=1\|Tense=Pres\|VerbForm=Fin`, `Degree=Cmp\|POS=ADV`, `Mood=Ind\|Number=Sing\|POS=VERB\|Person=3\|Tense=Imp\|Variant=Short\|VerbForm=Fin`, `Gender=Fem\|Number=Plur\|POS=DET\|PronType=Ind\|Variant=Short`, `Definite=Ind\|Degree=Sup\|Gender=Fem\|Number=Plur\|POS=ADJ`, `Case=Acc,Nom\|Definite=Def\|Gender=Fem\|Number=Plur\|POS=DET\|PronType=Art\|Variant=Short`, `Case=Acc,Nom\|Definite=Def\|Gender=Fem\|Number=Sing\|POS=PROPN` |
| **`parser`** | `ROOT`, `acl`, `advcl`, `advcl:tcl`, `advmod`, `advmod:tmod`, `amod`, `appos`, `aux`, `aux:pass`, `case`, `cc`, `cc:preconj`, `ccomp`, `ccomp:pmod`, `compound`, `conj`, `cop`, `csubj`, `csubj:pass`, `dep`, `det`, `discourse`, `expl`, `expl:impers`, `expl:pass`, `expl:poss`, `expl:pv`, `fixed`, `flat`, `goeswith`, `iobj`, `list`, `mark`, `nmod`, `nmod:agent`, `nmod:pmod`, `nmod:tmod`, `nsubj`, `nsubj:pass`, `nummod`, `obj`, `obl`, `orphan`, `parataxis`, `punct`, `vocative`, `xcomp` |
| **`experimental_edit_tree_lemmatizer`** | `1`, `2`, `3`, `7`, `9`, `12`, `14`, `15`, `19`, `22`, `24`, `26`, `30`, `32`, `34`, `36`, `38`, `40`, `42`, `45`, `47`, `49`, `51`, `53`, `55`, `61`, `62`, `66`, `67`, `68`, `71`, `73`, `76`, `78`, `80`, `83`, `85`, `86`, `89`, `91`, `92`, `93`, `95`, `97`, `98`, `99`, `102`, `104`, `106`, `108`, `109`, `111`, `107`, `113`, `115`, `116`, `119`, `121`, `124`, `128`, `129`, `130`, `132`, `135`, `139`, `143`, `146`, `148`, `150`, `151`, `154`, `156`, `158`, `159`, `162`, `165`, `166`, `167`, `169`, `171`, `173`, `175`, `177`, `180`, `182`, `183`, `185`, `186`, `187`, `189`, `191`, `193`, `195`, `197`, `198`, `199`, `201`, `203`, `205`, `207`, `208`, `210`, `212`, `215`, `217`, `218`, `221`, `223`, `227`, `229`, `230`, `231`, `232`, `233`, `234`, `237`, `239`, `240`, `242`, `244`, `246`, `248`, `249`, `251`, `252`, `254`, `257`, `259`, `261`, `263`, `266`, `268`, `269`, `271`, `272`, `274`, `276`, `278`, `280`, `282`, `283`, `285`, `287`, `289`, `293`, `294`, `296`, `298`, `300`, `301`, `303`, `305`, `307`, `309`, `311`, `313`, `315`, `317`, `318`, `320`, `322`, `324`, `326`, `328`, `330`, `331`, `333`, `334`, `336`, `337`, `339`, `342`, `343`, `344`, `346`, `349`, `353`, `355`, `357`, `359`, `360`, `361`, `363`, `364`, `366`, `367`, `369`, `370`, `372`, `374`, `376`, `378`, `379`, `380`, `381`, `383`, `384`, `386`, `388`, `389`, `391`, `74`, `393`, `395`, `397`, `399`, `401`, `403`, `406`, `408`, `409`, `412`, `413`, `415`, `416`, `417`, `418`, `419`, `420`, `421`, `422`, `423`, `425`, `426`, `428`, `429`, `431`, `434`, `435`, `439`, `443`, `445`, `447`, `449`, `451`, `452`, `453`, `456`, `458`, `460`, `461`, `462`, `464`, `466`, `467`, `468`, `470`, `471`, `473`, `474`, `475`, `476`, `478`, `481`, `484`, `485`, `486`, `487`, `489`, `491`, `492`, `493`, `496`, `498`, `500`, `503`, `504`, `505`, `509`, `512`, `513`, `514`, `515`, `516`, `519`, `520`, `521`, `522`, `523`, `525`, `526`, `527`, `528`, `213`, `530`, `531`, `532`, `535`, `539`, `541`, `544`, `546`, `547`, `548`, `550`, `552`, `553`, `555`, `557`, `558`, `559`, `560`, `563`, `565`, `566`, `569`, `572`, `574`, `576`, `578`, `580`, `582`, `585`, `588`, `589`, `590`, `591`, `592`, `593`, `594`, `597`, `599`, `601`, `603`, `605`, `606`, `608`, `610`, `614`, `616`, `617`, `618`, `620`, `624`, `626`, `41`, `628`, `629`, `631`, `632`, `634`, `636`, `639`, `641`, `643`, `645`, `647`, `650`, `653`, `654`, `655`, `657`, `658`, `661`, `664`, `665`, `667`, `669`, `671`, `672`, `674`, `675`, `677`, `678`, `680`, `682`, `683`, `686`, `688`, `690`, `693`, `695`, `697`, `699`, `701`, `702`, `703`, `705`, `706`, `707`, `708`, `711`, `713`, `714`, `715`, `717`, `719`, `721`, `722`, `725`, `726`, `728`, `731`, `733`, `735`, `736`, `737`, `738`, `740`, `742`, `744`, `745`, `747`, `749`, `750`, `751`, `752`, `754`, `757`, `759`, `761`, `762`, `764`, `765`, `766`, `768`, `769`, `770`, `771`, `772`, `774`, `775`, `776`, `779`, `781`, `784`, `785`, `787`, `789`, `791`, `792`, `794`, `796`, `797`, `799`, `800`, `802`, `803`, `808`, `809`, `810`, `813`, `816`, `817`, `818`, `820`, `821`, `822`, `824`, `826`, `827`, `828`, `830`, `832`, `834`, `836`, `837`, `839`, `841`, `843`, `845`, `847`, `848`, `849`, `851`, `855`, `856`, `858`, `861`, `862`, `864`, `865`, `866`, `867`, `868`, `870`, `871`, `873`, `876`, `877`, `880`, `881`, `883`, `885`, `889`, `891`, `892`, `894`, `896`, `898`, `900`, `902`, `904`, `905`, `907`, `908`, `911`, `913`, `914`, `916`, `918`, `919`, `920`, `923`, `924`, `926`, `927`, `929`, `932`, `935`, `936`, `937`, `938`, `940`, `942`, `943`, `945`, `947`, `948`, `952`, `955`, `958`, `960`, `961`, `962`, `964`, `965`, `966`, `968`, `970`, `972`, `974`, `976`, `977`, `979`, `980`, `982`, `983`, `985`, `986`, `988`, `989`, `990`, `991`, `993`, `995`, `997`, `998`, `999`, `1001`, `1002`, `1003`, `1006`, `1007`, `1012`, `1013`, `1014`, `1015`, `1016`, `1019`, `1020`, `1021`, `1022`, `1023`, `1025`, `1027`, `1029`, `1031`, `1032`, `1033`, `1036`, `1038`, `1040`, `1043`, `1044`, `1045`, `1046`, `1048`, `1050`, `1052`, `1053`, `1055`, `1057`, `1058`, `1061`, `1062`, `1064`, `1067`, `1069`, `1071`, `1074`, `1076`, `1078`, `1080`, `1083`, `1085`, `1086`, `1089`, `1090`, `1091`, `1094`, `1097`, `1098`, `1099`, `1103`, `1104`, `1106`, `1107`, `1108`, `1109`, `1110`, `1112`, `1114`, `1117`, `1118`, `1120`, `1122`, `1124`, `1125`, `1127`, `1128`, `1129`, `1132`, `1133`, `1136`, `1138`, `1139`, `1141`, `1144`, `1145`, `1147`, `1150`, `1152`, `1154`, `1155`, `1156`, `1157`, `1159`, `1161`, `1162`, `1163`, `1165`, `1166`, `1167`, `1168`, `1169`, `1171`, `1174`, `1176`, `1178`, `1179`, `1180`, `1184`, `1186`, `1187`, `1189`, `1190`, `1192`, `1193`, `1195`, `1196`, `1198`, `1201`, `1203`, `1204`, `1207`, `1210`, `1212`, `1214`, `1215`, `1216`, `1217`, `1218`, `1219`, `1222`, `1223`, `1224`, `1226`, `1227`, `1230`, `1231`, `1232`, `1233`, `1234`, `1235`, `1236`, `1238`, `1239`, `1242`, `1243`, `1244`, `1245`, `1247`, `1249`, `1250`, `1252`, `1254`, `1255`, `1256`, `1258`, `1259`, `1261`, `1262`, `1268`, `1269`, `1270`, `1271`, `1272`, `1274`, `1275`, `1277`, `1278`, `1279`, `1281`, `1282`, `1285`, `1287`, `1288`, `1289`, `1290`, `1291`, `1292`, `1295`, `1297`, `1298`, `1299`, `1300`, `1301`, `1302`, `1303`, `1304`, `1305`, `1306`, `1307`, `1312`, `1313`, `1314`, `1316`, `1317`, `1318`, `1319`, `1320`, `1315`, `1321`, `1323`, `1324`, `1325`, `1326`, `1327`, `1329`, `1337`, `1338`, `1339`, `1343`, `1344`, `1346`, `1347`, `1350`, `1351`, `1353`, `1354`, `1355`, `1358`, `1360`, `1361`, `1362`, `1365`, `1366`, `1367`, `1368`, `1369`, `1370`, `1371`, `1372`, `1373`, `1374`, `1376`, `1377`, `1379`, `1380`, `1381`, `1382`, `1384`, `1385`, `1386`, `1387`, `1389`, `1390`, `1391`, `1392`, `1393`, `1394`, `1395`, `1396`, `1400`, `1401`, `1404`, `1405`, `1406`, `1409`, `1410`, `1411`, `1413`, `1414`, `1416`, `1417`, `1418`, `1419`, `1421`, `1424`, `1425`, `1426`, `1427`, `1428`, `1430`, `1431`, `1434`, `1435`, `1436`, `1438`, `1440`, `1442`, `1443`, `1444`, `1445`, `1448`, `1449`, `1450`, `1451`, `1453`, `1454`, `1455`, `1456`, `1458`, `1459`, `1460`, `1463`, `1464`, `1466`, `1467`, `1468`, `1469`, `1470`, `1471`, `1472`, `1473`, `1474`, `1475`, `1476`, `1479`, `1480`, `1482`, `1483`, `1485`, `1487`, `1488`, `1490`, `1491`, `1492`, `1493`, `1495`, `1501`, `1504`, `1506`, `1508`, `1510`, `1512`, `1513`, `1514`, `1515`, `1516`, `1517`, `1518`, `1519`, `1520`, `1523`, `1524`, `1527`, `1530`, `1532`, `1533`, `1534`, `1536`, `1537`, `1538`, `1539`, `1540`, `1542`, `1544`, `1545`, `1546`, `1547`, `1548`, `1549`, `1550`, `1552`, `1554`, `1555`, `1556`, `1557`, `1558`, `1560`, `1563`, `1564`, `1565`, `1566`, `1567`, `1568`, `1569`, `1570`, `1572`, `1573`, `1575`, `1577`, `1578`, `1579`, `1582`, `1584`, `1585`, `1586`, `1587`, `1588`, `1589`, `1590`, `1591`, `1593`, `1594`, `1595`, `1597`, `1598`, `1600`, `1601`, `1602`, `1604`, `1605`, `1606`, `1607`, `1608`, `1610`, `1611`, `1612`, `1616`, `1617`, `1618`, `1619`, `1620`, `1621`, `1622`, `1623`, `1627`, `1628`, `1629`, `1631`, `1639`, `1641`, `1642`, `1643`, `1649`, `1650`, `1652`, `1653`, `1654`, `1656`, `1657`, `1659`, `1660`, `1661`, `1663`, `1667`, `1668`, `1669`, `1670`, `1671`, `1673`, `1675`, `1676`, `1678`, `1679`, `1681`, `1682`, `1684`, `1685`, `1686`, `1687`, `1688`, `1689`, `1690`, `1691`, `1692`, `1694`, `1695`, `1696`, `1697`, `1698`, `1700`, `1702`, `1703`, `1705`, `1706`, `1707`, `1708`, `1709`, `1710`, `1712`, `1713`, `1717`, `1718`, `1719`, `1720`, `1721`, `1725`, `1726`, `1728`, `1729`, `1730`, `1731`, `1733`, `1734`, `1735`, `1738`, `1740`, `1741`, `1742`, `1743`, `1744`, `1747`, `1749`, `1751`, `1754`, `1756`, `1757`, `1758`, `1760`, `1761`, `1762`, `1765`, `1768`, `1771`, `1772`, `1774`, `1775`, `1776`, `1777`, `1778`, `1779`, `1780`, `1781`, `1782`, `1783`, `1785`, `1787`, `1788`, `1790`, `1793`, `1794`, `1795`, `1798`, `1800`, `1801`, `1802`, `1803`, `1805`, `1806`, `1807`, `1808`, `1809`, `1810`, `1816`, `1817`, `1818`, `1819`, `1820`, `1821`, `1822`, `1823`, `1825`, `1826`, `1828`, `1829`, `1830`, `1831`, `1832`, `1833`, `1835`, `1841`, `1842`, `1843`, `1844`, `1846`, `1847`, `1849`, `1850`, `1851`, `1852`, `1853`, `1854`, `1855`, `1856`, `1857`, `1858`, `1859`, `1860`, `1861`, `1863`, `1865`, `1866`, `1867`, `1870`, `1872`, `1873`, `1874`, `1875`, `1876`, `1879`, `1880`, `1881`, `1882`, `1883`, `1884`, `1886`, `1887`, `1888`, `1889`, `1890`, `1891`, `1892`, `1894`, `1896`, `1898`, `1900`, `1901`, `1902`, `1904`, `1905`, `1906`, `1907`, `1910`, `1911`, `1913`, `1914`, `1916`, `1917`, `1919`, `1921`, `1923`, `1924`, `1759`, `1173`, `1925`, `1927`, `1929`, `1930`, `1931`, `1932`, `1933`, `1934`, `1936`, `1938`, `1940`, `1941`, `1942`, `1944`, `1945`, `1946`, `1948`, `1949`, `1951`, `1952`, `1953`, `1954`, `1956`, `1957`, `1958`, `1959`, `1961`, `1962`, `1963`, `1964`, `1965`, `1966`, `1968`, `1969`, `1970`, `1971`, `1972`, `1973`, `1764`, `1974`, `1975`, `1976`, `1977`, `1979`, `1980`, `1981`, `1982`, `1983`, `1984`, `1985`, `1986`, `1987`, `1988`, `1989`, `1990`, `1993`, `1994`, `1995`, `1996`, `1997`, `1998`, `1999`, `2001`, `2002`, `2003`, `2004`, `2005`, `2007`, `2008`, `2009`, `2010`, `2011`, `2012`, `2013`, `2016`, `2018`, `2019`, `2020`, `2021`, `2022`, `2023`, `2024`, `2025`, `2026`, `2028`, `2029`, `2031`, `2033`, `2037`, `2038`, `2039`, `2042`, `2043`, `2045`, `2046`, `2047`, `2048`, `2049`, `2050`, `2051`, `2052`, `2053`, `2055`, `2056`, `2057`, `2059`, `2063`, `2064`, `2065`, `2066`, `2067`, `2068`, `2069`, `2070`, `2071`, `2072`, `602`, `2073`, `2074`, `2075`, `2078`, `2079`, `2080`, `2082`, `2083`, `2084`, `2085`, `2086`, `2087`, `2088`, `2089`, `2090`, `2091`, `2092`, `2093`, `2094`, `2096`, `2098`, `2099`, `2100`, `2101`, `2102`, `2103`, `2105`, `2106`, `2107`, `2108`, `2109`, `2110`, `2112`, `2113`, `2115`, `2116`, `2117`, `2118`, `2119`, `2123`, `2125`, `2126`, `2127`, `2128`, `2130`, `2131`, `2132`, `2133`, `2134`, `2135`, `2136`, `2139`, `2140`, `2141`, `2142`, `2143`, `2144`, `2146`, `2147`, `2148`, `2150`, `2151`, `2152`, `2154`, `2155`, `2156`, `2158`, `2159`, `2160`, `2162`, `2163`, `2164`, `2165`, `2167`, `2168`, `2169`, `2170`, `2171`, `2173`, `2174`, `2175`, `2177`, `2178`, `2179`, `2180`, `2181`, `2183`, `2184`, `2185`, `2187`, `2188`, `2189`, `2190`, `2191`, `2192`, `2193`, `2195`, `2197`, `2198`, `2199`, `2200`, `2201`, `2203`, `2204`, `2205`, `2206`, `2207`, `2209`, `2213`, `2214`, `2215`, `2216`, `2219`, `2220`, `2221`, `2223`, `2225`, `2227`, `2229`, `2230`, `2231`, `2232`, `2235`, `2238`, `2239`, `2241`, `2243`, `2245`, `2246`, `2247`, `2248`, `2249`, `2251`, `2253`, `2254`, `2255`, `2257`, `2260`, `2261`, `2263`, `2264`, `2265`, `2266`, `2267`, `2268`, `2269`, `2270`, `2271`, `2272`, `2273`, `2275`, `2276`, `2277`, `2280`, `2281`, `2282`, `2283`, `2284`, `2285`, `2287`, `2289`, `2291`, `2293`, `2294`, `2295`, `2296`, `2297`, `2298`, `2299`, `2300`, `2301`, `2303`, `2305`, `2307`, `2308`, `2309`, `2310`, `2311`, `2313`, `2314`, `2315`, `2316`, `2318`, `2319`, `2320`, `2321`, `2322`, `2324`, `2326`, `2327`, `2329`, `2330`, `2332`, `2334`, `2336`, `2338`, `2339`, `2340`, `2341`, `2342`, `2343`, `2345`, `2347`, `2349`, `2350`, `2351`, `2352`, `2353`, `2355`, `2356`, `2357`, `2359`, `2361`, `2364`, `2365`, `2366`, `2367`, `2368`, `2369`, `2370`, `2371`, `2372`, `2373`, `2374`, `2375`, `2378`, `2379`, `2380`, `2381`, `2382`, `2384`, `2385`, `2386`, `2387`, `2388`, `2390`, `2394`, `1763`, `2396`, `2398`, `2400`, `2402`, `2404`, `2405`, `2406`, `2407`, `2408`, `2409`, `2410`, `2411`, `2413`, `2414`, `2416`, `2417`, `2418`, `2420`, `2422`, `2423`, `188`, `2425`, `2426`, `2427`, `2428`, `2430`, `2431`, `2432`, `2434`, `2435`, `2436`, `2437`, `2439`, `2440`, `2443`, `2444`, `2446`, `2447`, `2448`, `2449`, `2451`, `2453`, `2455`, `2456`, `2457`, `2458`, `2459`, `2461`, `2463`, `2465`, `2466`, `2467`, `2468`, `2469`, `2470`, `2471`, `2472`, `2475`, `2477`, `2478`, `2479`, `2480`, `2482`, `2483`, `2484`, `2485`, `2486`, `2488`, `2490`, `2491`, `2493`, `2495`, `2496`, `2498`, `2499`, `2501`, `2503`, `2504`, `2506`, `2508`, `2509`, `2511`, `2512`, `2513`, `2514`, `2516`, `2517`, `2519`, `2521`, `2522`, `2523`, `2524`, `2525`, `2526`, `2528`, `2529`, `2530`, `2532`, `2533`, `2534`, `2535`, `2536`, `2537`, `2538`, `2539`, `2540`, `2542`, `2543`, `2544`, `2545`, `2546`, `2547`, `2548`, `2549`, `2550`, `2551`, `2552`, `2554`, `2555`, `2556`, `2558`, `2559`, `2560`, `2564`, `2565`, `2566`, `2567`, `2568`, `2569`, `2570`, `2571`, `2572`, `2573`, `2575`, `2576`, `2577`, `2578`, `2579`, `2580`, `2581`, `2582`, `2584`, `2585`, `2586`, `2587`, `2588`, `2589`, `2590`, `2591`, `2592`, `2593`, `2594`, `2595`, `2596`, `2597`, `2598`, `2599`, `2602`, `2603`, `2604`, `2606`, `2608`, `2609`, `2610`, `2611`, `2613`, `2614`, `2615`, `2617`, `2621`, `2622`, `2623`, `2624`, `2625`, `2626`, `2627`, `2628`, `2631`, `2633`, `2635`, `2637`, `2638`, `2639`, `2640`, `2642`, `2643`, `2644`, `2646`, `2647`, `2649`, `2650`, `2652`, `2653`, `2654`, `2656`, `2657`, `2658`, `2659`, `2660`, `2661`, `2662`, `2664`, `2666`, `2667`, `2668`, `2669`, `2671`, `2672`, `2673`, `2676`, `2677`, `2678`, `2679`, `2680`, `2681`, `2683`, `2684`, `2685`, `2686`, `2688`, `2690`, `2691`, `2692`, `2694`, `2696`, `2698`, `2699`, `2700`, `2702`, `2703`, `2704`, `2706`, `2707`, `2708`, `2710`, `2711`, `2713`, `2714`, `2715`, `2717`, `2719`, `2720`, `2721`, `2722`, `2724`, `2725`, `2726`, `2727`, `2728`, `2729`, `2731`, `2732`, `2734`, `2735`, `2736`, `2738`, `2740`, `2741`, `2742`, `2744`, `2745`, `2746`, `2747`, `2748`, `2750`, `2753`, `2754`, `2755`, `2756`, `2757`, `2758`, `2760`, `2761`, `2762`, `2764`, `2765`, `2766`, `2767`, `2768`, `2769`, `2770`, `2771`, `2772`, `2773`, `2774`, `2775`, `2778`, `2780`, `2784`, `2785`, `2787`, `2788`, `2790`, `2792`, `2793`, `2794`, `2795`, `2797`, `2799`, `2802`, `2803`, `2805`, `2806`, `2808`, `2809`, `2811`, `2813`, `2815`, `2816`, `2817`, `2819`, `2823`, `2826`, `2827`, `2829`, `2831`, `2832`, `2834`, `2835`, `2837`, `2838`, `2840`, `2841`, `2842`, `2844`, `2846`, `2847`, `2848`, `2849`, `2850`, `2851`, `2852`, `2853`, `2855`, `2856`, `2857`, `2858`, `2859`, `2860`, `2861`, `2862`, `2863`, `2865`, `2866`, `2867`, `2868`, `2869`, `2870`, `2871`, `2872`, `2873`, `2874`, `2875`, `2876`, `2877`, `2878`, `2879`, `2880`, `2881`, `2882`, `2883`, `2884`, `2885`, `2886`, `2889`, `2890`, `2891`, `2892`, `2893`, `2894`, `2895`, `2896`, `2898`, `2899`, `2900`, `2901`, `2902`, `2903`, `2904`, `2905`, `2906`, `2909`, `2910`, `2911`, `2912`, `2914`, `2915`, `2916`, `2917`, `2918`, `2919`, `2922`, `2924`, `2926`, `2928`, `2929`, `2931`, `2933`, `2934`, `2935`, `2937`, `2938`, `2939`, `2940`, `2941`, `2942`, `2943`, `2945`, `2946`, `2947`, `2950`, `2951`, `2952`, `2953`, `2956`, `2957`, `2958`, `2959`, `2960`, `2962`, `2963`, `2964`, `2965`, `2966`, `2967`, `2968`, `2969`, `23`, `2970`, `2971`, `2972`, `2973`, `2974`, `2975`, `2976`, `2977`, `2978`, `2980`, `2981`, `2983`, `2984`, `2985`, `2986`, `2987`, `2988`, `2991`, `2992`, `2994`, `2995`, `2996`, `2997`, `2998`, `3000`, `3001`, `3002`, `3003`, `3004`, `3006`, `3009`, `3010`, `3011`, `3012`, `3013`, `3015`, `3017`, `3018`, `3020`, `3021`, `3022`, `3025`, `3026`, `3027`, `3028`, `3029`, `3030`, `11`, `3033`, `3034`, `3035`, `3037`, `3038`, `3039`, `3040`, `3041`, `3042`, `3045`, `3047`, `3049`, `3050`, `3051`, `3052`, `3054`, `3056`, `3058`, `3060`, `3062`, `3063`, `3064`, `3065`, `3068`, `3070`, `3071`, `3072`, `3073`, `3074`, `3075`, `3077`, `3079`, `3080`, `3082`, `3085`, `3087`, `3088`, `3090`, `3093`, `3095`, `3096`, `3097`, `3099`, `3101`, `3102`, `3103`, `3106`, `3108`, `3109`, `3110`, `3113`, `3114`, `3117`, `3118`, `3119`, `3121`, `3122`, `3125`, `3126`, `3128`, `3129`, `3130`, `3132`, `3133`, `3135`, `3136`, `3137`, `3139`, `3141`, `3142`, `3143`, `3144`, `3146`, `3147`, `3148`, `3149`, `3151`, `3152`, `3153`, `3154`, `3155`, `3158`, `3159`, `3161`, `3162`, `3164`, `3165`, `3166`, `3167`, `3168`, `3170`, `3171`, `3172`, `3174`, `3175`, `3177`, `3178`, `3179`, `3180`, `3181`, `3182`, `3183`, `3184`, `3185`, `3186`, `3187`, `3188`, `3190`, `3191`, `3193`, `3194`, `3195`, `3196`, `3197`, `3198`, `3199`, `3200`, `3202`, `3204`, `3205`, `3206`, `3207`, `3208`, `3209`, `3210`, `3211`, `3214`, `3215`, `3216`, `3217`, `3218`, `3219`, `3220`, `3222`, `3225`, `3226`, `3227`, `3228`, `3229`, `3231`, `3232`, `3233`, `3235`, `3238`, `3239`, `3240`, `3241`, `3242` |
</details>
### Accuracy
| Type | Score |
| --- | --- |
| `TOKEN_F` | 99.79 |
| `TOKEN_P` | 99.78 |
| `TOKEN_R` | 99.80 |
| `TOKEN_ACC` | 99.96 |
| `SENTS_F` | 92.35 |
| `SENTS_P` | 94.94 |
| `SENTS_R` | 89.89 |
| `TAG_ACC` | 96.53 |
| `POS_ACC` | 97.85 |
| `MORPH_ACC` | 97.23 |
| `DEP_UAS` | 92.52 |
| `DEP_LAS` | 86.32 |
| `LEMMA_ACC` | 97.00 | |
marcolatella/emotion_trained | marcolatella | 2021-12-10T23:23:20Z | 4 | 0 | transformers | [
"transformers",
"pytorch",
"distilbert",
"text-classification",
"generated_from_trainer",
"dataset:tweet_eval",
"license:apache-2.0",
"model-index",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | text-classification | 2022-03-02T23:29:05Z | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- tweet_eval
metrics:
- f1
model-index:
- name: emotion_trained
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: tweet_eval
type: tweet_eval
args: emotion
metrics:
- name: F1
type: f1
value: 0.7377785764567545
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# emotion_trained
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the tweet_eval dataset.
It achieves the following results on the evaluation set:
- Loss: 0.9362
- F1: 0.7378
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 6.961635072722524e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 0
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4
### Training results
| Training Loss | Epoch | Step | Validation Loss | F1 |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| No log | 1.0 | 204 | 0.7468 | 0.6599 |
| No log | 2.0 | 408 | 0.6829 | 0.7369 |
| 0.5184 | 3.0 | 612 | 0.8089 | 0.7411 |
| 0.5184 | 4.0 | 816 | 0.9362 | 0.7378 |
### Framework versions
- Transformers 4.13.0
- Pytorch 1.10.0+cu111
- Datasets 1.16.1
- Tokenizers 0.10.3
|
explosion/ro_udv25_romaniannonstandard_trf | explosion | 2021-12-10T23:04:41Z | 0 | 0 | spacy | [
"spacy",
"token-classification",
"ro",
"license:cc-by-sa-4.0",
"model-index",
"region:us"
] | token-classification | 2022-03-02T23:29:05Z | ---
tags:
- spacy
- token-classification
language:
- ro
license: cc-by-sa-4.0
model-index:
- name: ro_udv25_romaniannonstandard_trf
results:
- task:
name: TAG
type: token-classification
metrics:
- name: TAG (XPOS) Accuracy
type: accuracy
value: 0.9385375334
- task:
name: POS
type: token-classification
metrics:
- name: POS (UPOS) Accuracy
type: accuracy
value: 0.9765972953
- task:
name: MORPH
type: token-classification
metrics:
- name: Morph (UFeats) Accuracy
type: accuracy
value: 0.9364320998
- task:
name: LEMMA
type: token-classification
metrics:
- name: Lemma Accuracy
type: accuracy
value: 0.9399476397
- task:
name: UNLABELED_DEPENDENCIES
type: token-classification
metrics:
- name: Unlabeled Attachment Score (UAS)
type: f_score
value: 0.9256250793
- task:
name: LABELED_DEPENDENCIES
type: token-classification
metrics:
- name: Labeled Attachment Score (LAS)
type: f_score
value: 0.8749206752
- task:
name: SENTS
type: token-classification
metrics:
- name: Sentences F-Score
type: f_score
value: 0.9699570815
---
UD v2.5 benchmarking pipeline for UD_Romanian-Nonstandard
| Feature | Description |
| --- | --- |
| **Name** | `ro_udv25_romaniannonstandard_trf` |
| **Version** | `0.0.1` |
| **spaCy** | `>=3.2.1,<3.3.0` |
| **Default Pipeline** | `experimental_char_ner_tokenizer`, `transformer`, `tagger`, `morphologizer`, `parser`, `experimental_edit_tree_lemmatizer` |
| **Components** | `experimental_char_ner_tokenizer`, `transformer`, `senter`, `tagger`, `morphologizer`, `parser`, `experimental_edit_tree_lemmatizer` |
| **Vectors** | 0 keys, 0 unique vectors (0 dimensions) |
| **Sources** | [Universal Dependencies v2.5](https://lindat.mff.cuni.cz/repository/xmlui/handle/11234/1-3105) (Zeman, Daniel; et al.) |
| **License** | `CC BY-SA 4.0` |
| **Author** | [Explosion](https://explosion.ai) |
### Label Scheme
<details>
<summary>View label scheme (7445 labels for 6 components)</summary>
| Component | Labels |
| --- | --- |
| **`experimental_char_ner_tokenizer`** | `TOKEN` |
| **`senter`** | `I`, `S` |
| **`tagger`** | `AdpType=Prep\|Case=Acc`, `Afp`, `Afpf--n`, `Afpfp-n`, `Afpfpon`, `Afpfpoy`, `Afpfprn`, `Afpfpry`, `Afpfson`, `Afpfsoy`, `Afpfsrn`, `Afpfsry`, `Afpmp-n`, `Afpmpoy`, `Afpmprn`, `Afpmpry`, `Afpmpvy`, `Afpms-n`, `Afpmsoy`, `Afpmsrn`, `Afpmsry`, `Afpmsvn`, `Afpmsvy`, `COLON`, `COMMA`, `Cccsp`, `Cccsz`, `Ccssp`, `Ccssz`, `Cscsp`, `Csssp`, `DASH`, `DBLQ`, `Dd3-po---e`, `Dd3-po---o`, `Dd3fpo`, `Dd3fpr`, `Dd3fpr---e`, `Dd3fpr---o`, `Dd3fso`, `Dd3fso---e`, `Dd3fso---o`, `Dd3fsr`, `Dd3fsr---e`, `Dd3fsr---o`, `Dd3mpo`, `Dd3mpr`, `Dd3mpr---e`, `Dd3mpr---o`, `Dd3mso`, `Dd3mso---e`, `Dd3mso---o`, `Dd3msr`, `Dd3msr---e`, `Dd3msr---o`, `Dh1mp`, `Dh1ms`, `Dh2mp`, `Dh2ms`, `Dh3fp`, `Dh3mp`, `Dh3ms`, `Di3--r`, `Di3-po`, `Di3-sr`, `Di3fp`, `Di3fpo`, `Di3fpr`, `Di3fso`, `Di3fsr`, `Di3mpr`, `Di3mso`, `Di3msr`, `Ds1fp-p`, `Ds1fp-s`, `Ds1fsop`, `Ds1fsos`, `Ds1fsrp`, `Ds1fsrs`, `Ds1mp-p`, `Ds1mp-s`, `Ds1ms-p`, `Ds1ms-s`, `Ds2fp-p`, `Ds2fp-s`, `Ds2fsop`, `Ds2fsos`, `Ds2fsrp`, `Ds2fsrs`, `Ds2mp-p`, `Ds2mp-s`, `Ds2ms-p`, `Ds2ms-s`, `Ds3fp-s`, `Ds3fsos`, `Ds3fsrs`, `Ds3mp-s`, `Ds3ms-s`, `Dw3--r`, `Dw3-po`, `Dw3fpr`, `Dw3fso`, `Dw3fsr`, `Dw3mpr`, `Dw3mso`, `Dw3msr`, `Dz3fpr`, `Dz3fsr`, `Dz3msr`, `EXCL`, `EXCLHELLIP`, `HELLIP`, `I`, `LPAR`, `M`, `Mc-p-l`, `Mcfp-l`, `Mcfpol`, `Mcfprln`, `Mcfsoln`, `Mcfsoly`, `Mcfsrln`, `Mcfsrly`, `Mcmp-l`, `Mcms-ln`, `Mcmsoly`, `Mcmsrl`, `Mcmsrly`, `Mffsrln`, `Ml-po`, `Mlfpr`, `Mlmpr`, `Mmfpr-n`, `Mmmpr-n`, `Mmmsr-n`, `Mo---l`, `Mo---ln`, `Mo-s-r`, `Mofprln`, `Mofprly`, `Mofs-l`, `Mofs-ly`, `Mofsrln`, `Mofsrly`, `Momp-ln`, `Moms-l`, `Moms-ln`, `Momsoly`, `Momsrly`, `Ncfpoy`, `Ncfprn`, `Ncfpry`, `Ncfpvy`, `Ncfson`, `Ncfsoy`, `Ncfsrn`, `Ncfsry`, `Ncfsvn`, `Ncfsvy`, `Ncmpoy`, `Ncmprn`, `Ncmpry`, `Ncmpvy`, `Ncmson`, `Ncmsoy`, `Ncmsrn`, `Ncmsry`, `Ncmsvn`, `Ncmsvy`, `Ncnsrn`, `Np`, `Npfpoy`, `Npfprn`, `Npfpry`, `Npfsoy`, `Npfsrn`, `Npfsry`, `Npfsvn`, `Npmpoy`, `Npmprn`, `Npmpry`, `Npmsoy`, `Npmsrn`, `Npmsry`, `Npmsvn`, `Npmsvy`, `PERIOD`, `Pd3-po`, `Pd3-po---o`, `Pd3fpo`, `Pd3fpr`, `Pd3fso`, `Pd3fsr`, `Pd3mpo`, `Pd3mpr`, `Pd3mso`, `Pd3msr`, `Ph1mp`, `Ph1ms`, `Ph2mp`, `Ph2ms`, `Ph3--r`, `Ph3fp`, `Ph3fsr`, `Ph3mp`, `Ph3mpo`, `Ph3mpr`, `Ph3ms`, `Ph3mso`, `Pi3--r`, `Pi3-po`, `Pi3-so`, `Pi3-sr`, `Pi3fpo`, `Pi3fpr`, `Pi3fso`, `Pi3fsr`, `Pi3mpo`, `Pi3mpr`, `Pi3mpry`, `Pi3mso`, `Pi3msr`, `Pi3msry`, `Pp1-pa--------s`, `Pp1-pa--------w`, `Pp1-pd--------s`, `Pp1-pd--------w`, `Pp1-pr`, `Pp1-sa--------s`, `Pp1-sa--------w`, `Pp1-sd--------s`, `Pp1-sd--------w`, `Pp1-sr`, `Pp2-pa--------s`, `Pp2-pa--------w`, `Pp2-pd--------s`, `Pp2-pd--------w`, `Pp2-po`, `Pp2-pr`, `Pp2-sa--------s`, `Pp2-sa--------w`, `Pp2-sd--------s`, `Pp2-sd--------w`, `Pp2-so`, `Pp2-sr`, `Pp3-pd--------s`, `Pp3-pd--------w`, `Pp3-po`, `Pp3-pr`, `Pp3-sd--------w`, `Pp3-so`, `Pp3fpa--------s`, `Pp3fpa--------w`, `Pp3fpr`, `Pp3fsa--------s`, `Pp3fsa--------w`, `Pp3fsd--------s`, `Pp3fso`, `Pp3fsoy`, `Pp3fsr`, `Pp3mpa--------s`, `Pp3mpa--------w`, `Pp3mpo`, `Pp3mpr`, `Pp3msa--------s`, `Pp3msa--------w`, `Pp3msd--------s`, `Pp3mso`, `Pp3msr`, `Pp3msry`, `Ps1fp-p`, `Ps1fp-s`, `Ps1fsrp`, `Ps1fsrs`, `Ps1mp-p`, `Ps1ms-p`, `Ps1ms-s`, `Ps2fp-p`, `Ps2fp-s`, `Ps2fsrp`, `Ps2fsrs`, `Ps2mp-s`, `Ps2ms-p`, `Ps2ms-s`, `Ps3fp-s`, `Ps3fsrs`, `Ps3mp-s`, `Ps3ms-s`, `Pw3--r`, `Pw3-po`, `Pw3-pr`, `Pw3-pry`, `Pw3-so`, `Pw3fpr`, `Pw3fpry`, `Pw3fso`, `Pw3fsr`, `Pw3fsry`, `Pw3mpr`, `Pw3mpry`, `Pw3mso`, `Pw3msr`, `Pw3msry`, `Px3--a--------s`, `Px3--a--------w`, `Px3--d--------s`, `Px3--d--------w`, `Px3--d-------w`, `Pz3-so`, `Pz3-sr`, `Pz3fsr`, `Pz3mso`, `Pz3msr`, `QUEST`, `QUOT`, `Qn`, `Qs`, `Qz`, `RPAR`, `Rg`, `Ri`, `Rw`, `Rz`, `SCOLON`, `Sp`, `Spca`, `Spcg`, `Spsa`, `Spsd`, `Spsg`, `TILDA`, `Td-po`, `Tdfpr`, `Tdfso`, `Tdfsr`, `Tdmpr`, `Tdmso`, `Tdmsr`, `Tf-so`, `Tffsr`, `Tfmso`, `Tfmsr`, `Ti-po`, `Ti-pr`, `Tifso`, `Tifsr`, `Timso`, `Timsr`, `Tsfpr`, `Tsfso`, `Tsfsr`, `Tsmpr`, `Tsmsr`, `Vag-----p`, `Vag-----z`, `Vaii1p`, `Vaii1s`, `Vaii2p`, `Vaii2s`, `Vaii3p`, `Vaii3s`, `Vail3s`, `Vaip1p`, `Vaip1s`, `Vaip2p`, `Vaip2s`, `Vaip3`, `Vaip3p`, `Vaip3s`, `Vais1p`, `Vais1s`, `Vais2p`, `Vais2s`, `Vais3p`, `Vais3s`, `Vam-2p`, `Vam-2p---l`, `Vam-2s--p`, `Vam-2s--z`, `Vam-2s-p`, `Vam-2s-z`, `Vamip3p`, `Vamip3s`, `Vamn`, `Vamsp3`, `Van`, `Van------l`, `Vap`, `Vap--sm-p`, `Vasp1p`, `Vasp1s`, `Vasp2p`, `Vasp2s`, `Vasp3`, `Vasp3s`, `Vmg-----p`, `Vmg-----z`, `Vmii1p`, `Vmii1s`, `Vmii2p`, `Vmii2s`, `Vmii3p`, `Vmii3s`, `Vmil1s`, `Vmil2p`, `Vmil2s`, `Vmil3p`, `Vmil3s`, `Vmip1p`, `Vmip1s`, `Vmip2p`, `Vmip2s`, `Vmip3`, `Vmip3p`, `Vmip3s`, `Vmis1p`, `Vmis1s`, `Vmis2p`, `Vmis2s`, `Vmis3p`, `Vmis3s`, `Vmm-2p`, `Vmm-2p---l`, `Vmm-2s--p`, `Vmm-2s--z`, `Vmn`, `Vmn------l`, `Vmp`, `Vmp--pf-p`, `Vmp--pf-z`, `Vmp--pm-p`, `Vmp--pm-z`, `Vmp--sf-p--o`, `Vmp--sf-p--r`, `Vmp--sf-z--r`, `Vmp--sm-p`, `Vmp--sm-z`, `Vmsp1p`, `Vmsp1s`, `Vmsp2p`, `Vmsp2s`, `Vmsp3`, `Vmsp3s`, `X`, `Y` |
| **`morphologizer`** | `AdpType=Prep\|Case=Acc\|POS=ADP`, `Case=Acc,Nom\|Definite=Def\|Gender=Masc\|Number=Sing\|POS=NOUN`, `Case=Acc,Nom\|Definite=Ind\|Gender=Masc\|Number=Sing\|POS=NOUN`, `POS=PUNCT`, `Case=Acc,Nom\|Definite=Def\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=3\|PronType=Int,Rel`, `POS=ADV\|PronType=Int,Rel`, `Case=Acc\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs\|Strength=Weak`, `Mood=Ind\|Number=Plur\|POS=VERB\|Person=3\|Tense=Pres\|VerbForm=Fin`, `POS=ADV`, `Case=Acc,Nom\|Definite=Ind\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=ADJ`, `Mood=Ind\|Number=Sing\|POS=AUX\|Person=3\|Tense=Pres`, `Case=Acc,Nom\|Gender=Fem\|Number=Plur\|POS=DET\|Person=3\|PronType=Ind`, `Case=Acc,Nom\|Definite=Def\|Gender=Fem\|Number=Plur\|POS=NOUN`, `Case=Acc,Nom\|POS=PRON\|Person=3\|PronType=Int,Rel`, `POS=CCONJ\|Polarity=Pos`, `Compound=Yes\|POS=SCONJ\|Polarity=Pos`, `Mood=Ind\|Number=Sing\|POS=VERB\|Person=3\|Tense=Pres\|VerbForm=Fin`, `Case=Acc\|POS=PRON\|Person=3\|PronType=Prs\|Strength=Weak`, `Case=Acc,Nom\|Definite=Ind\|Gender=Fem\|Number=Plur\|POS=NOUN`, `Case=Acc,Nom\|Definite=Ind\|Degree=Pos\|Gender=Fem\|Number=Plur\|POS=ADJ`, `Case=Acc,Nom\|Definite=Def\|Gender=Fem\|Number=Sing\|POS=NOUN`, `Case=Gen\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs`, `Case=Dat,Gen\|Definite=Def\|Gender=Masc\|Number=Sing\|POS=NOUN`, `POS=PART\|PartType=Sub`, `Mood=Sub\|POS=VERB\|Person=3\|Tense=Pres\|VerbForm=Fin`, `Case=Acc,Nom\|Gender=Fem\|Number=Plur\|POS=PRON\|Person=3\|PronType=Dem`, `Mood=Ind\|Number=Sing\|POS=VERB\|Person=3\|Tense=Imp\|VerbForm=Fin`, `Case=Dat\|Number=Plur\|POS=PRON\|Person=3\|PronType=Prs\|Strength=Strong`, `POS=VERB\|VerbForm=Inf`, `Case=Acc,Nom\|Definite=Ind\|Gender=Fem\|Number=Sing\|POS=NOUN`, `POS=ADV\|Polarity=Neg`, `Case=Dat,Gen\|Definite=Def\|Gender=Masc\|Number=Plur\|POS=NOUN`, `Case=Acc,Nom\|Gender=Fem\|Number=Plur\|POS=PRON\|Person=3\|PronType=Ind`, `Case=Acc\|Gender=Fem\|Number=Plur\|POS=PRON\|Person=3\|PronType=Prs\|Strength=Weak`, `Mood=Ind\|Number=Sing\|POS=VERB\|Person=3\|Tense=Past\|VerbForm=Fin`, `Case=Acc,Nom\|Gender=Fem\|Number=Sing\|POS=DET\|Person=3\|Position=Prenom\|PronType=Dem`, `POS=AUX\|Polarity=Pos\|VerbForm=Ger`, `Mood=Sub\|Number=Plur\|POS=VERB\|Person=1\|Tense=Pres\|VerbForm=Fin`, `POS=VERB\|Polarity=Pos\|VerbForm=Ger`, `Mood=Ind\|Number=Plur\|POS=VERB\|Person=3\|Tense=Past\|VerbForm=Fin`, `Case=Acc\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs\|Strength=Strong`, `Mood=Ind\|Number=Sing\|POS=AUX\|Person=3\|Tense=Imp`, `Case=Acc,Nom\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs`, `Case=Acc,Nom\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Ind`, `Case=Dat\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs\|Strength=Strong`, `Case=Voc\|Definite=Def\|Gender=Masc\|Number=Sing\|POS=NOUN`, `POS=INTJ`, `Mood=Ind\|Number=Sing\|POS=VERB\|Person=2\|Tense=Pres\|VerbForm=Fin`, `POS=SCONJ\|Polarity=Pos`, `Mood=Ind\|Number=Plur\|POS=VERB\|Person=1\|Tense=Pres\|VerbForm=Fin`, `Case=Dat,Gen\|Definite=Def\|Gender=Fem\|Number=Sing\|POS=NOUN`, `Mood=Imp\|Number=Sing\|POS=VERB\|Person=2\|Polarity=Pos\|VerbForm=Fin`, `Case=Acc\|Number=Sing\|POS=PRON\|Person=2\|PronType=Prs\|Strength=Weak`, `Mood=Ind\|Number=Plur\|POS=AUX\|Person=2\|Tense=Pres`, `Gender=Masc\|Number=Plur\|POS=VERB\|Polarity=Pos\|VerbForm=Part`, `Mood=Ind\|Number=Plur\|POS=VERB\|Person=2\|Tense=Pres\|VerbForm=Fin`, `Case=Acc,Nom\|Definite=Ind\|Degree=Pos\|Gender=Fem\|Number=Sing\|POS=ADJ`, `Case=Acc,Nom\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=3\|PronType=Ind`, `AdpType=Prep\|Case=Acc\|Compound=Yes\|POS=ADP`, `Case=Acc,Nom\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=3\|PronType=Dem`, `Case=Acc,Nom\|Definite=Ind\|Gender=Masc\|Number=Sing\|POS=PROPN`, `Case=Acc,Nom\|Definite=Ind\|Gender=Masc\|Number=Plur\|POS=NOUN`, `Case=Dat,Gen\|Definite=Def\|Number=Sing\|POS=DET\|PronType=Art`, `Case=Acc,Nom\|Definite=Def\|Gender=Fem\|Number=Sing\|POS=PROPN`, `Case=Acc,Nom\|Definite=Def\|Gender=Masc\|Number=Plur\|POS=NOUN`, `Case=Acc,Nom\|Number=Sing\|POS=PRON\|Person=3\|PronType=Neg`, `Case=Acc,Nom\|Gender=Fem\|Number=Sing\|POS=DET\|Person=3\|PronType=Ind`, `Case=Acc,Nom\|POS=DET\|Person=3\|PronType=Int,Rel`, `Mood=Ind\|Number=Sing\|POS=VERB\|Person=1\|Tense=Pres\|VerbForm=Fin`, `Case=Acc\|Number=Sing\|POS=PRON\|Person=2\|PronType=Prs\|Strength=Strong`, `Case=Voc\|Definite=Ind\|Gender=Masc\|Number=Sing\|POS=PROPN`, `Case=Acc,Nom\|Definite=Def\|Gender=Masc\|Number=Sing\|POS=PROPN`, `Case=Dat,Gen\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Dem`, `Case=Acc\|Number=Sing\|POS=PRON\|Person=1\|PronType=Prs\|Strength=Weak`, `Mood=Sub\|Number=Sing\|POS=VERB\|Person=2\|Tense=Pres\|VerbForm=Fin`, `Case=Dat\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs\|Strength=Weak`, `Case=Dat\|Number=Sing\|POS=PRON\|Person=2\|PronType=Prs\|Strength=Weak`, `Case=Dat\|Number=Sing\|POS=PRON\|Person=1\|PronType=Prs\|Strength=Weak`, `Case=Acc,Nom\|Gender=Masc\|Number=Plur\|POS=PRON\|Person=3\|PronType=Ind`, `Mood=Ind\|Number=Plur\|POS=AUX\|Person=1\|Tense=Pres`, `Case=Acc\|Gender=Masc\|Number=Plur\|POS=PRON\|Person=3\|PronType=Prs\|Strength=Weak`, `Case=Acc\|Gender=Masc\|Number=Plur\|POS=PRON\|Person=3\|PronType=Prs\|Strength=Strong`, `Case=Acc,Nom\|Gender=Fem\|Number=Sing\|POS=DET\|PronType=Ind`, `Case=Acc,Nom\|Gender=Masc\|Number=Plur\|POS=DET\|Person=3\|PronType=Ind`, `Case=Acc\|Number=Plur\|POS=PRON\|Person=1\|PronType=Prs\|Strength=Strong`, `Case=Acc,Nom\|Gender=Fem\|Number=Plur\|POS=DET\|Person=3\|Position=Postnom\|PronType=Dem`, `Case=Acc,Nom\|Definite=Ind\|Gender=Fem\|NumForm=Word\|NumType=Card\|Number=Plur\|POS=NUM`, `Case=Acc,Nom\|Definite=Ind\|Gender=Fem\|NumForm=Word\|NumType=Card\|Number=Sing\|POS=NUM`, `Case=Acc,Nom\|Gender=Masc\|Number=Plur\|POS=PRON\|Person=3\|PronType=Dem`, `Mood=Ind\|Number=Plur\|POS=AUX\|Person=3\|Tense=Pres`, `POS=AUX\|VerbForm=Part`, `POS=VERB\|VerbForm=Part`, `Case=Acc,Nom\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Dem`, `Mood=Ind\|Number=Sing\|POS=VERB\|Person=3\|Tense=Pqp\|VerbForm=Fin`, `POS=PART\|PartType=Inf`, `Case=Dat,Gen\|Number=Plur\|POS=PRON\|Person=3\|PronType=Prs`, `Gender=Masc\|Number=Sing\|POS=VERB\|Polarity=Pos\|VerbForm=Part`, `Case=Acc,Nom\|Gender=Fem\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=2\|PronType=Prs`, `Case=Acc,Nom\|Gender=Masc\|Number=Plur\|POS=DET\|Poss=Yes\|PronType=Art`, `Gender=Masc\|Number=Plur\|Number[psor]=Sing\|POS=PRON\|Person=2\|PronType=Prs`, `Case=Acc,Nom\|Gender=Fem\|Number=Plur\|POS=PRON\|Person=3\|PronType=Int,Rel`, `NumForm=Word\|NumType=Card\|Number=Plur\|POS=NUM`, `Case=Acc,Nom\|Gender=Fem\|Number=Sing\|POS=DET\|Poss=Yes\|PronType=Art`, `Case=Acc,Nom\|Gender=Fem\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=1\|PronType=Prs`, `Case=Acc\|Gender=Fem\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs\|Strength=Strong`, `Mood=Sub\|POS=AUX\|Person=3\|Tense=Pres`, `Gender=Masc\|NumForm=Word\|NumType=Card\|Number=Plur\|POS=NUM`, `Case=Dat\|POS=PRON\|Person=3\|PronType=Prs\|Strength=Weak`, `Mood=Ind\|Number=Sing\|POS=AUX\|Person=1\|Tense=Pres`, `Case=Gen\|Gender=Fem\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs`, `Gender=Fem\|Number=Plur\|Number[psor]=Sing\|POS=DET\|Person=1\|PronType=Prs`, `Case=Acc\|Number=Sing\|POS=PRON\|Person=1\|PronType=Prs\|Strength=Strong`, `Case=Acc\|Gender=Fem\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs\|Strength=Weak`, `Case=Acc,Nom\|Gender=Fem\|Number=Sing\|POS=PRON\|Person=3\|PronType=Int,Rel`, `Case=Acc,Nom\|Gender=Fem\|Number=Sing\|POS=PRON\|Person=3\|PronType=Dem`, `Case=Acc,Nom\|Gender=Fem\|Number=Sing\|POS=VERB\|Polarity=Pos\|VerbForm=Part`, `Case=Dat\|Gender=Fem\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs\|Strength=Strong`, `Mood=Imp\|Number=Sing\|POS=AUX\|Person=2\|Polarity=Pos`, `Case=Acc,Nom\|Gender=Masc\|Number=Sing\|POS=DET\|Person=3\|Position=Prenom\|PronType=Dem`, `Case=Dat,Gen\|Definite=Def\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=ADJ`, `Case=Acc\|POS=PRON\|Person=3\|PronType=Prs\|Strength=Strong`, `Case=Acc,Nom\|Definite=Def\|Gender=Masc\|Number=Plur\|POS=PRON\|Person=3\|PronType=Int,Rel`, `Case=Dat\|Number=Sing\|POS=PRON\|Person=2\|PronType=Prs\|Strength=Strong`, `Case=Acc,Nom\|Gender=Fem\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=3\|PronType=Prs`, `Case=Dat,Gen\|Definite=Def\|Gender=Fem\|Number=Plur\|POS=NOUN`, `Case=Dat,Gen\|Definite=Def\|Gender=Fem\|Number=Sing\|POS=PROPN`, `NumForm=Digit\|POS=NUM`, `Mood=Ind\|Number=Plur\|POS=VERB\|Person=3\|Tense=Imp\|VerbForm=Fin`, `Case=Dat,Gen\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=3\|PronType=Dem`, `Case=Dat,Gen\|Gender=Fem\|Number=Sing\|POS=VERB\|Polarity=Pos\|VerbForm=Part`, `POS=PROPN`, `Case=Acc,Nom\|Gender=Fem\|Number=Sing\|POS=DET\|Person=3\|PronType=Neg`, `Case=Acc,Nom\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Dem`, `Case=Acc,Nom\|Gender=Fem\|Number=Plur\|POS=DET\|PronType=Dem`, `Compound=Yes\|POS=CCONJ\|Polarity=Neg`, `Mood=Imp\|Number=Plur\|POS=VERB\|Person=2\|VerbForm=Fin`, `Case=Acc\|Number=Plur\|POS=PRON\|Person=2\|PronType=Prs\|Strength=Strong`, `Gender=Fem\|Number=Plur\|Number[psor]=Plur\|POS=DET\|Person=2\|PronType=Prs`, `Case=Dat\|Number=Plur\|POS=PRON\|Person=2\|PronType=Prs\|Strength=Strong`, `POS=AUX\|VerbForm=Inf`, `AdpType=Prep\|Case=Gen\|Compound=Yes\|POS=ADP`, `Case=Dat,Gen\|Gender=Masc\|Number=Sing\|POS=DET\|Person=3\|Position=Postnom\|PronType=Dem`, `Case=Nom\|Number=Sing\|POS=PRON\|Person=1\|PronType=Prs`, `Gender=Masc\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=3\|PronType=Prs`, `Gender=Masc\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=2\|PronType=Prs`, `Case=Acc,Nom\|Definite=Def\|Gender=Fem\|Number=Sing\|POS=PRON\|Person=3\|PronType=Int,Rel`, `Gender=Masc\|Number=Plur\|Number[psor]=Sing\|POS=DET\|Person=3\|PronType=Prs`, `Case=Dat,Gen\|Gender=Fem\|Number=Sing\|POS=DET\|PronType=Dem`, `Case=Dat,Gen\|Number=Plur\|POS=PRON\|Person=3\|PronType=Dem`, `Mood=Ind\|Number=Sing\|POS=AUX\|Person=2\|Tense=Pres`, `Case=Acc,Nom\|Definite=Ind\|Gender=Fem\|NumForm=Word\|NumType=Frac\|Number=Sing\|POS=NUM`, `Case=Acc,Nom\|Gender=Fem\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs`, `Case=Dat,Gen\|Definite=Ind\|Gender=Fem\|Number=Sing\|POS=NOUN`, `Mood=Ind\|Number=Sing\|POS=AUX\|Person=1\|Tense=Pres\|VerbForm=Fin`, `Case=Acc,Nom\|Number=Plur\|POS=PRON\|Person=1\|PronType=Prs`, `Gender=Masc\|Number=Plur\|POS=DET\|Person=2\|PronType=Emp`, `Case=Acc,Nom\|Definite=Ind\|Degree=Pos\|Gender=Masc\|Number=Plur\|POS=NOUN`, `Case=Acc,Nom\|Definite=Ind\|Degree=Pos\|Gender=Masc\|Number=Plur\|POS=ADJ`, `Case=Nom\|Gender=Masc\|Number=Plur\|POS=PRON\|Person=3\|PronType=Prs`, `POS=VERB\|Polarity=Neg\|VerbForm=Ger`, `Case=Acc,Nom\|Gender=Fem\|Number=Plur\|POS=DET\|Person=3\|PronType=Int,Rel`, `Case=Dat,Gen\|Number=Plur\|POS=PRON\|Person=3\|PronType=Ind`, `Gender=Masc\|Number=Sing\|POS=PRON\|Person=3\|PronType=Emp`, `Gender=Masc\|Number=Sing\|POS=DET\|Person=3\|PronType=Emp`, `Gender=Fem\|NumForm=Word\|NumType=Ord\|Number=Sing\|POS=NUM`, `Case=Dat\|Number=Plur\|POS=PRON\|Person=3\|PronType=Prs\|Strength=Weak`, `Mood=Imp\|Number=Plur\|POS=VERB\|Person=2\|Variant=Long\|VerbForm=Fin`, `Gender=Masc\|Number=Plur\|POS=PRON\|Person=3\|PronType=Emp`, `Gender=Fem\|Number=Plur\|POS=VERB\|Polarity=Neg\|VerbForm=Part`, `Gender=Masc\|Number=Plur\|Number[psor]=Sing\|POS=DET\|Person=2\|PronType=Prs`, `Case=Voc\|Definite=Def\|Gender=Masc\|Number=Plur\|POS=NOUN`, `Mood=Ind\|Number=Sing\|POS=AUX\|Person=3\|Tense=Pres\|VerbForm=Fin`, `Case=Acc,Nom\|Gender=Masc\|Number=Plur\|POS=DET\|Person=3\|Position=Prenom\|PronType=Dem`, `Case=Acc,Nom\|Definite=Def\|Number=Plur\|POS=PRON\|Person=3\|PronType=Int,Rel`, `Gender=Fem\|Number=Plur\|POS=VERB\|Polarity=Pos\|VerbForm=Part`, `Mood=Sub\|Number=Plur\|POS=VERB\|Person=2\|Tense=Pres\|VerbForm=Fin`, `Case=Dat,Gen\|Definite=Ind\|Gender=Masc\|Number=Sing\|POS=NOUN`, `Case=Acc,Nom\|Gender=Fem\|Number=Sing\|POS=DET\|Person=3\|PronType=Int,Rel`, `Case=Acc,Nom\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=3\|PronType=Neg`, `Case=Acc,Nom\|Gender=Fem\|Number=Sing\|Number[psor]=Plur\|POS=DET\|Person=1\|PronType=Prs`, `Mood=Sub\|POS=AUX\|Person=3\|Tense=Pres\|VerbForm=Fin`, `Case=Acc\|Number=Plur\|POS=PRON\|Person=2\|PronType=Prs\|Strength=Weak`, `Case=Acc,Nom\|Gender=Fem\|Number=Plur\|POS=DET\|Person=3\|Position=Prenom\|PronType=Dem`, `Case=Dat,Gen\|Definite=Def\|Gender=Masc\|Number=Sing\|POS=PROPN`, `Mood=Ind\|Number=Sing\|POS=AUX\|Person=3\|Tense=Imp\|VerbForm=Fin`, `Case=Voc\|Definite=Ind\|Gender=Masc\|Number=Sing\|POS=NOUN`, `Gender=Fem\|Number=Plur\|Number[psor]=Sing\|POS=DET\|Person=3\|PronType=Prs`, `Case=Acc,Nom\|Gender=Fem\|Number=Plur\|POS=DET\|Person=3\|PronType=Dem`, `Mood=Ind\|Number=Plur\|POS=AUX\|Person=3\|Tense=Pres\|VerbForm=Fin`, `Case=Acc,Nom\|Gender=Masc\|Number=Plur\|POS=DET\|Person=3\|PronType=Dem`, `Compound=Yes\|POS=CCONJ\|Polarity=Pos`, `Case=Acc,Nom\|Gender=Masc\|Number=Sing\|POS=DET\|Person=3\|Position=Postnom\|PronType=Dem`, `Case=Dat,Gen\|Gender=Fem\|Number=Sing\|POS=DET\|Person=3\|Position=Postnom\|PronType=Dem`, `Mood=Ind\|Number=Sing\|POS=VERB\|Person=1\|Tense=Past\|VerbForm=Fin`, `Case=Dat,Gen\|Gender=Fem\|NumForm=Word\|NumType=Card\|Number=Plur\|POS=NUM`, `Case=Dat,Gen\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=3\|PronType=Ind`, `Case=Acc,Nom\|Number=Sing\|POS=PRON\|Person=1\|PronType=Prs`, `Case=Voc\|Definite=Def\|Gender=Fem\|Number=Sing\|POS=NOUN`, `Case=Acc,Nom\|Gender=Fem\|Number=Plur\|POS=DET\|Poss=Yes\|PronType=Art`, `Case=Dat\|POS=PRON\|Person=3\|PronType=Prs\|Strength=Strong`, `Case=Dat,Gen\|Number=Sing\|POS=PRON\|Person=3\|PronType=Int,Rel`, `Case=Acc,Nom\|Definite=Def\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=NOUN`, `AdpType=Prep\|Case=Gen\|POS=ADP`, `Mood=Ind\|Number=Plur\|POS=AUX\|Person=3\|Tense=Past`, `Case=Acc,Nom\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=3\|PronType=Int,Rel`, `Case=Dat\|Number=Plur\|POS=PRON\|Person=1\|PronType=Prs\|Strength=Strong`, `Case=Acc,Nom\|Gender=Fem\|Number=Sing\|POS=PRON\|Person=3\|PronType=Ind`, `Gender=Masc\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=1\|PronType=Prs`, `Case=Dat,Gen\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=3\|PronType=Neg`, `Gender=Masc\|Number=Plur\|POS=PRON\|Person=2\|PronType=Emp`, `Mood=Sub\|Number=Sing\|POS=VERB\|Person=1\|Tense=Pres\|VerbForm=Fin`, `Case=Dat,Gen\|Gender=Fem\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=1\|PronType=Prs`, `Mood=Ind\|Number=Sing\|POS=AUX\|Person=3\|Tense=Past`, `Case=Nom\|Number=Plur\|POS=PRON\|Person=1\|PronType=Prs`, `Mood=Ind\|Number=Plur\|POS=AUX\|Person=1\|Tense=Past`, `Case=Dat,Gen\|Number=Plur\|POS=DET\|Person=3\|PronType=Ind`, `Gender=Fem\|NumForm=Word\|NumType=Card\|Number=Plur\|POS=NUM`, `Case=Acc,Nom\|Definite=Ind\|Gender=Fem\|Number=Sing\|POS=PROPN`, `Gender=Masc\|Number=Sing\|POS=VERB\|Polarity=Neg\|VerbForm=Part`, `Case=Acc,Nom\|Gender=Masc\|NumType=Card\|Number=Plur\|POS=NUM\|PronType=Tot`, `Case=Acc,Nom\|POS=PRON\|Person=3\|PronType=Ind`, `Case=Dat,Gen\|Gender=Fem\|Number=Sing\|POS=PRON\|Person=3\|PronType=Dem`, `Case=Acc,Nom\|Definite=Def\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=ADJ`, `Gender=Masc\|Number=Plur\|Number[psor]=Sing\|POS=DET\|Person=1\|PronType=Prs`, `POS=VERB\|Variant=Long\|VerbForm=Inf`, `Definite=Ind\|Gender=Masc\|NumForm=Word\|NumType=Ord\|Number=Sing\|POS=NUM`, `Case=Dat,Gen\|Gender=Masc\|Number=Plur\|POS=DET\|Person=3\|PronType=Dem`, `AdpType=Prep\|Case=Dat\|POS=ADP`, `Case=Dat,Gen\|Number=Plur\|POS=DET\|PronType=Dem`, `Case=Dat\|Number=Plur\|POS=PRON\|Person=2\|PronType=Prs\|Strength=Weak`, `Case=Dat\|Number=Plur\|POS=PRON\|Person=1\|PronType=Prs\|Strength=Weak`, `Case=Dat\|Number=Sing\|POS=PRON\|Person=1\|PronType=Prs\|Strength=Strong`, `Case=Acc,Nom\|Definite=Def\|Gender=Masc\|NumForm=Word\|NumType=Ord\|Number=Sing\|POS=NUM`, `Case=Acc,Nom\|Definite=Ind\|Gender=Masc\|Number=Plur\|POS=PROPN`, `Gender=Masc\|Number=Sing\|Number[psor]=Plur\|POS=DET\|Person=1\|PronType=Prs`, `Case=Dat,Gen\|Gender=Masc\|Number=Plur\|POS=PRON\|Person=3\|PronType=Dem`, `Mood=Ind\|Number=Sing\|POS=VERB\|Person=2\|Tense=Past\|VerbForm=Fin`, `Gender=Masc\|Number=Sing\|Number[psor]=Plur\|POS=DET\|Person=2\|PronType=Prs`, `Compound=Yes\|POS=ADV\|Polarity=Neg`, `Case=Acc,Nom\|Gender=Fem\|Number=Sing\|POS=DET\|PronType=Dem`, `Case=Acc,Nom\|Gender=Masc\|Number=Sing\|POS=DET\|Poss=Yes\|PronType=Art`, `Case=Acc,Nom\|Gender=Fem\|Number=Sing\|Number[psor]=Plur\|POS=PRON\|Person=1\|PronType=Prs`, `Gender=Masc\|Number=Plur\|Number[psor]=Plur\|POS=DET\|Person=1\|PronType=Prs`, `Case=Dat,Gen\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=3\|PronType=Int,Rel`, `Case=Dat,Gen\|NumType=Card\|Number=Plur\|POS=NUM\|PronType=Tot`, `Gender=Masc\|NumForm=Word\|NumType=Ord\|Number=Sing\|POS=NUM`, `Definite=Ind\|NumForm=Word\|NumType=Ord\|POS=NUM`, `Case=Dat,Gen\|Gender=Fem\|Number=Sing\|POS=DET\|Person=3\|PronType=Ind`, `Gender=Fem\|Number=Plur\|Number[psor]=Sing\|POS=DET\|Person=2\|PronType=Prs`, `Mood=Ind\|Number=Plur\|POS=VERB\|Person=2\|Tense=Imp\|VerbForm=Fin`, `Case=Acc,Nom\|Definite=Def\|Degree=Pos\|Gender=Masc\|Number=Plur\|POS=ADJ`, `POS=AUX\|Variant=Long\|VerbForm=Inf`, `Case=Acc,Nom\|Gender=Fem\|Number=Sing\|POS=DET\|Person=3\|PronType=Dem`, `Case=Dat,Gen\|Definite=Ind\|Gender=Fem\|NumForm=Word\|NumType=Card\|Number=Sing\|POS=NUM`, `Case=Dat,Gen\|Gender=Fem\|Number=Plur\|POS=DET\|Person=3\|PronType=Ind`, `Case=Dat,Gen\|Gender=Masc\|Number=Sing\|POS=DET\|Person=3\|PronType=Dem`, `Case=Acc,Nom\|Gender=Fem\|Number=Sing\|POS=DET\|Person=3\|Position=Postnom\|PronType=Dem`, `Mood=Ind\|Number=Sing\|POS=AUX\|Person=2\|Tense=Past\|VerbForm=Fin`, `Case=Acc,Nom\|Gender=Masc\|Number=Sing\|POS=DET\|Person=3\|PronType=Dem`, `Case=Acc,Nom\|Gender=Fem\|Number=Sing\|POS=VERB\|Polarity=Neg\|VerbForm=Part`, `Mood=Ind\|Number=Sing\|POS=VERB\|Person=2\|Tense=Imp\|VerbForm=Fin`, `Case=Acc\|Gender=Fem\|Number=Plur\|POS=PRON\|Person=3\|PronType=Prs\|Strength=Strong`, `POS=X`, `Case=Dat,Gen\|Number=Plur\|POS=DET\|Person=3\|Position=Prenom\|PronType=Dem`, `Mood=Ind\|Number=Sing\|POS=AUX\|Person=2\|Tense=Pres\|VerbForm=Fin`, `Mood=Ind\|Number=Sing\|POS=AUX\|Person=3\|Tense=Past\|VerbForm=Fin`, `Mood=Imp\|Number=Sing\|POS=VERB\|Person=2\|Polarity=Neg\|VerbForm=Fin`, `Case=Dat,Gen\|Gender=Fem\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=2\|PronType=Prs`, `Case=Dat,Gen\|Gender=Fem\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=3\|PronType=Prs`, `Case=Dat,Gen\|Number=Plur\|POS=DET\|Person=3\|Position=Postnom\|PronType=Dem`, `Case=Acc\|Number=Plur\|POS=PRON\|Person=1\|PronType=Prs\|Strength=Weak`, `Case=Dat,Gen\|Definite=Def\|Degree=Pos\|Gender=Masc\|Number=Plur\|POS=ADJ`, `Case=Dat,Gen\|Gender=Fem\|Number=Sing\|Number[psor]=Plur\|POS=DET\|Person=1\|PronType=Prs`, `Gender=Fem\|Number=Plur\|Number[psor]=Plur\|POS=DET\|Person=1\|PronType=Prs`, `Case=Acc,Nom\|Definite=Def\|Gender=Masc\|Number=Sing\|POS=NUM`, `Gender=Masc\|Number=Sing\|POS=PRON\|Person=2\|PronType=Emp`, `Case=Nom\|Gender=Fem\|Number=Plur\|POS=PRON\|Person=3\|PronType=Prs`, `Case=Acc,Nom\|Gender=Fem\|NumType=Card\|Number=Plur\|POS=NUM\|PronType=Tot`, `Case=Acc,Nom\|Number=Plur\|POS=DET\|PronType=Ind`, `Mood=Ind\|Number=Plur\|POS=VERB\|Person=1\|Tense=Past\|VerbForm=Fin`, `Gender=Masc\|Number=Plur\|POS=VERB\|Polarity=Neg\|VerbForm=Part`, `Case=Acc,Nom\|Definite=Ind\|Gender=Fem\|NumForm=Word\|NumType=Ord\|Number=Sing\|POS=NUM`, `Case=Dat,Gen\|Number=Plur\|POS=PRON\|Person=3\|PronType=Int,Rel`, `Gender=Masc\|Number=Plur\|Number[psor]=Plur\|POS=DET\|Person=2\|PronType=Prs`, `Gender=Fem\|Number=Plur\|Number[psor]=Sing\|POS=PRON\|Person=2\|PronType=Prs`, `Mood=Sub\|Number=Sing\|POS=VERB\|Person=3\|Tense=Pres\|VerbForm=Fin`, `Case=Acc,Nom\|Definite=Def\|Degree=Pos\|Gender=Fem\|Number=Sing\|POS=NOUN`, `Mood=Imp\|Number=Plur\|POS=AUX\|Person=2`, `Case=Dat,Gen\|Gender=Fem\|Number=Sing\|POS=DET\|Person=3\|PronType=Dem`, `Case=Dat,Gen\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Ind`, `POS=AUX\|Polarity=Neg\|VerbForm=Ger`, `Case=Acc,Nom\|Gender=Fem\|Number=Sing\|Number[psor]=Sing\|POS=PRON\|Person=2\|PronType=Prs`, `Case=Dat,Gen\|Number=Sing\|POS=PRON\|Person=2\|PronType=Prs`, `Mood=Sub\|Number=Sing\|POS=AUX\|Person=3\|Tense=Pres`, `Case=Acc,Nom\|POS=DET\|Person=3\|PronType=Ind`, `Case=Voc\|Definite=Ind\|Gender=Fem\|Number=Sing\|POS=NOUN`, `Case=Dat,Gen\|Number=Sing\|POS=PRON\|Person=3\|PronType=Neg`, `POS=CCONJ\|Polarity=Neg`, `Case=Dat,Gen\|Gender=Fem\|Number=Plur\|POS=PRON\|Person=3\|PronType=Dem`, `Case=Voc\|Definite=Ind\|Gender=Fem\|Number=Sing\|POS=PROPN`, `Case=Acc,Nom\|Number=Sing\|POS=PRON\|Person=3\|PronType=Ind`, `Case=Dat,Gen\|Number=Sing\|POS=PRON\|Person=3\|PronType=Ind`, `Definite=Ind\|Degree=Pos\|Gender=Masc\|Number=Plur\|POS=ADJ`, `Case=Acc,Nom\|Gender=Masc\|Number=Plur\|POS=DET\|Person=3\|Position=Postnom\|PronType=Dem`, `Case=Acc,Nom\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=3\|Polite=Form\|PronType=Prs`, `Case=Dat,Gen\|Gender=Fem\|Number=Sing\|POS=DET\|Person=3\|Position=Prenom\|PronType=Dem`, `Case=Acc,Nom\|Definite=Def\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=3\|PronType=Ind`, `Case=Acc,Nom\|Definite=Def\|Degree=Pos\|Gender=Fem\|Number=Plur\|POS=ADJ`, `Case=Acc,Nom\|Definite=Ind\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=NOUN`, `Mood=Ind\|Number=Sing\|POS=AUX\|Person=2\|Tense=Past`, `Gender=Masc\|Number=Sing\|POS=AUX\|Polarity=Pos\|VerbForm=Part`, `Gender=Masc\|Number=Sing\|Number[psor]=Sing\|POS=PRON\|Person=2\|PronType=Prs`, `Case=Acc,Nom\|Gender=Masc\|Number=Plur\|POS=PRON\|Person=3\|PronType=Emp`, `Gender=Masc\|Number=Sing\|Number[psor]=Plur\|POS=PRON\|Person=1\|PronType=Prs`, `Mood=Ind\|Number=Plur\|POS=AUX\|Person=3\|Tense=Past\|VerbForm=Fin`, `Case=Dat,Gen\|Gender=Fem\|Number=Sing\|POS=PRON\|Person=3\|PronType=Int,Rel`, `Case=Acc,Nom\|Gender=Masc\|Number=Plur\|POS=PRON\|Person=3\|Position=Postnom\|PronType=Dem`, `Case=Voc\|Definite=Def\|Gender=Fem\|Number=Plur\|POS=NOUN`, `Case=Acc,Nom\|Definite=Def\|Gender=Fem\|Number=Plur\|POS=PROPN`, `Case=Acc,Nom\|Definite=Ind\|Gender=Fem\|Number=Plur\|POS=PROPN`, `Mood=Sub\|Number=Sing\|POS=AUX\|Person=3\|Tense=Pres\|VerbForm=Fin`, `Case=Voc\|Definite=Def\|Gender=Masc\|Number=Sing\|POS=PROPN`, `Gender=Masc\|Number=Sing\|Number[psor]=Plur\|POS=PRON\|Person=2\|PronType=Prs`, `POS=PRON\|Polarity=Pos`, `Mood=Ind\|Number=Plur\|POS=AUX\|Person=2\|Tense=Pres\|VerbForm=Fin`, `Gender=Masc\|Number=Plur\|POS=PRON\|Person=1\|PronType=Emp`, `Mood=Ind\|Number=Plur\|POS=VERB\|Person=1\|Tense=Imp\|VerbForm=Fin`, `Case=Acc,Nom\|Number=Sing\|POS=DET\|Person=3\|PronType=Ind`, `Case=Dat,Gen\|Definite=Def\|Degree=Pos\|Gender=Fem\|Number=Sing\|POS=ADJ`, `Mood=Ind\|Number=Sing\|POS=VERB\|Person=1\|Tense=Imp\|VerbForm=Fin`, `Gender=Masc\|Number=Sing\|POS=DET\|Person=2\|PronType=Emp`, `Mood=Ind\|Number=Sing\|POS=AUX\|Person=2\|Tense=Imp`, `Case=Dat,Gen\|Number=Plur\|POS=PRON\|Person=3\|Position=Postnom\|PronType=Dem`, `Definite=Ind\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=ADJ`, `Case=Acc,Nom\|Definite=Def\|Degree=Pos\|Gender=Fem\|Number=Sing\|POS=ADJ`, `Case=Acc,Nom\|Gender=Masc\|Number=Plur\|POS=PRON\|Person=3\|PronType=Prs`, `Mood=Sub\|Number=Sing\|POS=AUX\|Person=2\|Tense=Pres`, `Case=Acc,Nom\|Number=Plur\|POS=PRON\|Person=3\|PronType=Int,Rel`, `Gender=Masc\|Number=Sing\|POS=PRON\|Person=1\|PronType=Emp`, `Mood=Ind\|Number=Sing\|POS=VERB\|Person=3\|Tense=Pres`, `Gender=Masc\|Number=Plur\|POS=DET\|Person=3\|PronType=Emp`, `Case=Dat,Gen\|Definite=Ind\|Degree=Pos\|Gender=Fem\|Number=Sing\|POS=ADJ`, `Case=Acc,Nom\|Gender=Fem\|Number=Sing\|Number[psor]=Sing\|POS=PRON\|Person=1\|PronType=Prs`, `Gender=Fem\|Number=Plur\|Number[psor]=Sing\|POS=PRON\|Person=3\|PronType=Prs`, `Mood=Sub\|Number=Plur\|POS=AUX\|Person=2\|Tense=Pres`, `Gender=Fem\|Number=Plur\|Number[psor]=Sing\|POS=PRON\|Person=1\|PronType=Prs`, `Case=Dat,Gen\|Definite=Def\|Gender=Fem\|Number=Plur\|POS=PROPN`, `Compound=Yes\|POS=ADP\|Polarity=Pos`, `Mood=Sub\|Number=Plur\|POS=AUX\|Person=1\|Tense=Pres`, `Gender=Masc\|Number=Sing\|Number[psor]=Sing\|POS=PRON\|Person=1\|PronType=Prs`, `Case=Acc,Nom\|Gender=Fem\|Number=Sing\|POS=PRON\|Person=3\|PronType=Emp`, `Gender=Masc\|Number=Sing\|Number[psor]=Sing\|POS=PRON\|Person=3\|PronType=Prs`, `POS=ADJ`, `Case=Voc\|Definite=Ind\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=ADJ`, `Case=Dat,Gen\|Gender=Masc\|Number=Sing\|POS=DET\|Person=3\|Position=Prenom\|PronType=Dem`, `Mood=Ind\|Number=Plur\|POS=VERB\|Person=3\|Tense=Pqp\|VerbForm=Fin`, `Case=Dat,Gen\|Gender=Fem\|Number=Plur\|POS=PRON\|Person=3\|PronType=Ind`, `Case=Acc,Nom\|Gender=Masc\|Number=Sing\|POS=DET\|Person=3\|PronType=Ind`, `Case=Dat,Gen\|Gender=Masc\|Number=Plur\|POS=PRON\|Person=3\|PronType=Emp`, `Case=Dat,Gen\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs`, `Mood=Imp\|Number=Sing\|POS=AUX\|Person=2\|Polarity=Neg`, `Case=Acc,Nom\|Definite=Def\|Gender=Masc\|Number=Plur\|POS=PRON\|Person=3\|PronType=Ind`, `Mood=Ind\|Number=Plur\|POS=VERB\|Person=2\|Tense=Past\|VerbForm=Fin`, `Case=Acc,Nom\|Gender=Masc\|Number=Plur\|POS=PRON\|Person=3\|PronType=Int,Rel`, `POS=ADV\|PronType=Ind`, `Case=Acc,Nom\|Definite=Def\|Gender=Masc\|Number=Plur\|POS=PROPN`, `Case=Acc,Nom\|Definite=Def\|Gender=Fem\|NumForm=Word\|NumType=Ord\|Number=Sing\|POS=NUM`, `POS=AUX\|Polarity=Pos`, `Case=Acc,Nom\|Definite=Def\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Art`, `Mood=Ind\|Number=Sing\|POS=AUX\|Person=1\|Tense=Imp`, `Case=Gen\|Gender=Masc\|Number=Plur\|POS=PRON\|Person=3\|PronType=Prs`, `Mood=Sub\|Number=Sing\|POS=AUX\|Person=1\|Tense=Pres`, `NumForm=Roman\|NumType=Ord\|Number=Sing\|POS=NUM`, `Case=Voc\|Definite=Def\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=ADJ`, `Mood=Ind\|Number=Sing\|POS=AUX\|Person=1\|Tense=Past`, `Case=Dat,Gen\|Gender=Fem\|Number=Sing\|POS=DET\|PronType=Ind`, `Definite=Ind\|Gender=Masc\|NumForm=Word\|NumType=Card\|Number=Sing\|POS=NUM`, `Case=Dat,Gen\|Gender=Masc\|Number=Plur\|POS=PRON\|Person=3\|PronType=Ind`, `Mood=Ind\|Number=Sing\|POS=VERB\|Person=1\|Tense=Pqp\|VerbForm=Fin`, `Mood=Ind\|Number=Plur\|POS=VERB\|Person=1\|Tense=Pres`, `Gender=Fem\|Number=Plur\|Number[psor]=Plur\|POS=PRON\|Person=1\|PronType=Prs`, `Mood=Ind\|Number=Plur\|POS=AUX\|Person=1\|Tense=Imp`, `Definite=Ind\|Gender=Masc\|NumForm=Word\|NumType=Ord\|Number=Plur\|POS=NUM`, `Gender=Masc\|Number=Plur\|Number[psor]=Sing\|POS=PRON\|Person=3\|PronType=Prs`, `Case=Dat,Gen\|Gender=Masc\|Number=Sing\|POS=DET\|Person=3\|PronType=Ind`, `Mood=Imp\|Number=Plur\|POS=AUX\|Person=2\|Variant=Long\|VerbForm=Fin`, `Mood=Imp\|Number=Plur\|POS=AUX\|Person=2\|Variant=Long`, `Case=Dat,Gen\|Gender=Fem\|Number=Sing\|Number[psor]=Plur\|POS=DET\|Person=2\|PronType=Prs`, `Mood=Ind\|Number=Plur\|POS=AUX\|Person=2\|Tense=Imp`, `Case=Acc,Nom\|Definite=Def\|Gender=Fem\|Number=Sing\|POS=DET\|PronType=Art`, `Case=Dat,Gen\|Gender=Masc\|Number=Sing\|POS=DET\|Person=3\|PronType=Int,Rel`, `Case=Acc,Nom\|POS=PRON\|Person=3\|PronType=Emp`, `NumForm=Word\|NumType=Ord\|POS=NUM`, `Gender=Fem\|Number=Plur\|POS=PRON\|Person=3\|PronType=Emp`, `Case=Dat,Gen\|Number=Plur\|POS=DET\|Person=3\|PronType=Int,Rel`, `Case=Acc,Nom\|Definite=Def\|Gender=Fem\|Number=Plur\|POS=PRON\|Person=3\|PronType=Int,Rel`, `Case=Dat,Gen\|Gender=Fem\|Number=Plur\|POS=DET\|Person=3\|PronType=Dem`, `Gender=Masc\|Number=Plur\|POS=DET\|Person=1\|PronType=Emp`, `Gender=Masc\|Number=Sing\|POS=DET\|Person=1\|PronType=Emp`, `Mood=Imp\|Number=Plur\|POS=AUX\|Person=2\|VerbForm=Fin`, `Case=Dat,Gen\|Gender=Fem\|Number=Sing\|POS=DET\|Poss=Yes\|PronType=Art`, `Gender=Fem\|Number=Plur\|Number[psor]=Plur\|POS=PRON\|Person=2\|PronType=Prs`, `Case=Dat,Gen\|Definite=Def\|Gender=Masc\|NumForm=Word\|NumType=Ord\|Number=Sing\|POS=NUM`, `Gender=Fem\|Number=Plur\|POS=DET\|Person=3\|PronType=Emp`, `Case=Dat,Gen\|Definite=Def\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Art`, `Definite=Ind\|Degree=Pos\|Gender=Fem\|POS=ADJ`, `Mood=Sub\|Number=Plur\|POS=AUX\|Person=2\|Tense=Pres\|VerbForm=Fin`, `Mood=Ind\|Number=Plur\|POS=VERB\|Person=3\|Tense=Pres`, `Gender=Fem\|Number=Plur\|POS=DET\|Person=3\|PronType=Ind`, `Case=Voc\|Definite=Def\|Degree=Pos\|Gender=Masc\|Number=Plur\|POS=ADJ`, `Mood=Ind\|Number=Plur\|POS=AUX\|Person=2\|Tense=Past`, `Case=Dat,Gen\|Definite=Ind\|Degree=Pos\|Gender=Fem\|Number=Plur\|POS=ADJ`, `Case=Dat,Gen\|Definite=Def\|Gender=Fem\|NumForm=Word\|NumType=Card\|Number=Sing\|POS=NUM`, `Case=Dat,Gen\|Definite=Def\|Gender=Masc\|NumForm=Word\|NumType=Card\|Number=Sing\|POS=NUM`, `Case=Dat,Gen\|Number=Plur\|POS=DET\|PronType=Ind`, `Definite=Ind\|Degree=Pos\|Gender=Fem\|Number=Plur\|POS=ADJ`, `Case=Acc,Nom\|Gender=Fem\|Number=Sing\|POS=VERB\|Polarity=Pos`, `Gender=Masc\|Number=Plur\|Number[psor]=Plur\|POS=PRON\|Person=1\|PronType=Prs`, `Case=Dat,Gen\|Gender=Fem\|Number=Sing\|POS=DET\|Person=3\|PronType=Int,Rel`, `Mood=Ind\|Number=Sing\|POS=VERB\|Person=2\|Tense=Pqp\|VerbForm=Fin`, `Mood=Ind\|Number=Plur\|POS=VERB\|Person=2\|Tense=Pqp\|VerbForm=Fin`, `Case=Acc,Nom\|Gender=Fem\|Number=Sing\|POS=PRON\|Person=3\|PronType=Neg`, `Mood=Ind\|Number=Sing\|POS=AUX\|Person=3\|Tense=Pqp`, `Gender=Masc\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Gender=Masc\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Case=Acc\|POS=PRON\|Person=3\|PronType=Prs\|Reflex=Yes\|Strength=Weak`, `Case=Acc,Nom\|Gender=Fem\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=2\|Poss=Yes\|PronType=Prs`, `Case=Dat\|POS=PRON\|Person=3\|PronType=Prs\|Reflex=Yes\|Strength=Weak`, `Case=Dat,Gen\|Number=Plur\|POS=PRON\|Person=2\|Polite=Form\|PronType=Prs`, `Case=Acc,Nom\|Gender=Fem\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Mood=Ind\|POS=AUX\|Person=3\|Tense=Pres`, `Gender=Masc\|Number=Sing\|Number[psor]=Plur\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Case=Acc,Nom\|Gender=Fem\|Number=Sing\|Number[psor]=Plur\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Gender=Fem\|Number=Plur\|Number[psor]=Sing\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Case=Acc,Nom\|Gender=Masc\|Number=Sing\|POS=DET\|Person=3\|PronType=Neg`, `Case=Acc,Nom\|Gender=Fem\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Gender=Masc\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=2\|Poss=Yes\|PronType=Prs`, `Case=Acc\|POS=PRON\|Person=3\|PronType=Prs\|Reflex=Yes\|Strength=Strong`, `Case=Dat\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs`, `Case=Dat,Gen\|Number=Sing\|POS=PRON\|Person=2\|Polite=Form\|PronType=Prs`, `Case=Acc,Nom\|Gender=Masc\|Number=Sing\|POS=DET\|Person=3\|PronType=Int,Rel`, `Case=Acc,Nom\|Gender=Masc\|NumForm=Word\|NumType=Card\|Number=Sing\|POS=NUM`, `Case=Acc,Nom\|Definite=Ind\|Degree=Pos\|Gender=Fem\|POS=ADJ`, `POS=DET`, `Case=Acc,Nom\|Number=Plur\|POS=PRON\|Person=3\|PronType=Prs`, `POS=ADP`, `Gender=Masc\|Number=Sing\|Number[psor]=Plur\|POS=PRON\|Person=1\|Poss=Yes\|PronType=Prs`, `Case=Acc,Nom\|Definite=Def\|Gender=Fem\|NumForm=Word\|NumType=Card\|Number=Sing\|POS=NUM`, `Case=Acc,Nom\|Gender=Masc\|Number=Plur\|POS=DET\|Person=3\|PronType=Int,Rel`, `Case=Acc,Nom\|Definite=Ind\|Gender=Fem\|NumForm=Word\|NumType=Ord\|Number=Plur\|POS=NUM`, `Case=Acc,Nom\|Definite=Ind\|Gender=Fem\|NumType=Mult\|Number=Plur\|POS=NUM`, `Case=Acc,Nom\|Definite=Ind\|Gender=Masc\|NumType=Mult\|Number=Plur\|POS=NUM`, `Mood=Ind\|Number=Plur\|POS=AUX\|Person=3\|Tense=Imp`, `Case=Dat,Gen\|Definite=Def\|Gender=Masc\|Number=Plur\|POS=PROPN`, `Mood=Ind\|POS=VERB\|Person=3\|Tense=Pres\|VerbForm=Fin`, `Case=Dat,Gen\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=3\|PronType=Emp`, `Case=Acc,Nom\|Definite=Def\|Gender=Fem\|NumForm=Word\|NumType=Ord\|Number=Plur\|POS=NUM`, `Case=Acc,Nom\|Gender=Fem\|Number=Plur\|POS=DET\|Person=3\|PronType=Neg`, `Case=Dat,Gen\|Definite=Def\|Degree=Pos\|Gender=Fem\|Number=Plur\|POS=ADJ`, `Degree=Pos\|POS=ADJ`, `Case=Dat,Gen\|Gender=Fem\|Number=Sing\|POS=PRON\|Person=3\|PronType=Ind`, `Case=Acc,Nom\|Definite=Ind\|Gender=Masc\|NumType=Mult\|Number=Sing\|POS=NUM`, `Case=Acc,Nom\|Gender=Fem\|Number=Sing\|Number[psor]=Sing\|POS=PRON\|Person=3\|PronType=Prs`, `Mood=Ind\|Number=Sing\|POS=VERB\|Person=3\|Tense=Pres\|VerbForm=Part`, `Case=Acc,Nom\|Definite=Def\|Gender=Masc\|NumForm=Word\|NumType=Card\|Number=Sing\|POS=NUM`, `Case=Acc,Nom\|Gender=Masc\|Number=Sing\|POS=ADV\|Person=3\|PronType=Int,Rel`, `Case=Dat,Gen\|Gender=Fem\|Number=Sing\|POS=PRON\|Person=3\|Polite=Form\|PronType=Prs` |
| **`parser`** | `ROOT`, `acl`, `advcl`, `advcl:tcl`, `advmod`, `advmod:tmod`, `amod`, `appos`, `aux`, `aux:pass`, `case`, `cc`, `cc:preconj`, `ccomp`, `ccomp:pmod`, `compound`, `conj`, `cop`, `csubj`, `csubj:pass`, `dep`, `det`, `discourse`, `expl`, `expl:impers`, `expl:pass`, `expl:poss`, `expl:pv`, `fixed`, `flat`, `iobj`, `mark`, `nmod`, `nmod:agent`, `nmod:pmod`, `nmod:tmod`, `nsubj`, `nsubj:pass`, `nummod`, `obj`, `obl`, `orphan`, `parataxis`, `punct`, `vocative`, `xcomp` |
| **`experimental_edit_tree_lemmatizer`** | `1`, `3`, `4`, `6`, `8`, `12`, `14`, `16`, `19`, `23`, `29`, `30`, `32`, `35`, `37`, `39`, `40`, `45`, `46`, `47`, `51`, `53`, `54`, `57`, `61`, `63`, `65`, `66`, `69`, `33`, `71`, `73`, `76`, `79`, `80`, `84`, `86`, `87`, `88`, `89`, `92`, `95`, `97`, `100`, `103`, `105`, `107`, `110`, `112`, `113`, `115`, `117`, `120`, `121`, `123`, `125`, `126`, `128`, `130`, `132`, `133`, `136`, `140`, `143`, `145`, `147`, `58`, `148`, `151`, `154`, `157`, `159`, `163`, `165`, `167`, `171`, `174`, `176`, `178`, `180`, `182`, `184`, `185`, `187`, `188`, `190`, `192`, `196`, `197`, `199`, `200`, `202`, `206`, `208`, `210`, `211`, `213`, `215`, `216`, `219`, `221`, `223`, `225`, `226`, `228`, `230`, `232`, `236`, `238`, `241`, `242`, `244`, `246`, `248`, `251`, `253`, `255`, `258`, `260`, `264`, `265`, `267`, `272`, `275`, `278`, `280`, `281`, `284`, `286`, `287`, `290`, `291`, `292`, `295`, `296`, `298`, `300`, `301`, `302`, `305`, `306`, `307`, `309`, `310`, `312`, `314`, `315`, `317`, `319`, `321`, `323`, `324`, `327`, `330`, `332`, `334`, `335`, `337`, `339`, `340`, `343`, `344`, `345`, `346`, `350`, `351`, `353`, `355`, `357`, `360`, `362`, `366`, `368`, `369`, `370`, `371`, `224`, `374`, `376`, `378`, `379`, `381`, `384`, `385`, `386`, `388`, `389`, `391`, `392`, `393`, `396`, `398`, `399`, `403`, `406`, `408`, `411`, `413`, `415`, `418`, `422`, `423`, `426`, `427`, `431`, `433`, `436`, `438`, `440`, `442`, `445`, `448`, `449`, `450`, `451`, `452`, `454`, `455`, `457`, `459`, `460`, `462`, `464`, `466`, `468`, `471`, `472`, `473`, `474`, `475`, `478`, `481`, `482`, `485`, `486`, `488`, `490`, `492`, `494`, `495`, `497`, `498`, `499`, `501`, `503`, `504`, `506`, `508`, `510`, `513`, `514`, `515`, `516`, `518`, `519`, `521`, `523`, `524`, `526`, `527`, `528`, `530`, `533`, `96`, `537`, `538`, `539`, `542`, `544`, `545`, `547`, `548`, `553`, `555`, `556`, `558`, `559`, `561`, `562`, `563`, `565`, `566`, `570`, `572`, `573`, `575`, `577`, `578`, `579`, `581`, `583`, `584`, `586`, `588`, `589`, `592`, `594`, `595`, `596`, `598`, `599`, `600`, `601`, `604`, `606`, `607`, `608`, `612`, `613`, `616`, `619`, `621`, `623`, `625`, `628`, `629`, `630`, `632`, `635`, `636`, `173`, `639`, `641`, `643`, `647`, `649`, `651`, `654`, `656`, `658`, `659`, `661`, `662`, `663`, `666`, `668`, `669`, `670`, `672`, `673`, `676`, `677`, `679`, `681`, `683`, `685`, `687`, `689`, `690`, `691`, `693`, `694`, `695`, `696`, `698`, `699`, `701`, `702`, `703`, `704`, `705`, `706`, `708`, `712`, `713`, `716`, `718`, `720`, `722`, `724`, `725`, `729`, `732`, `734`, `735`, `736`, `739`, `742`, `745`, `747`, `750`, `753`, `755`, `758`, `759`, `761`, `763`, `764`, `766`, `768`, `769`, `771`, `772`, `774`, `777`, `778`, `781`, `784`, `785`, `787`, `790`, `794`, `797`, `800`, `801`, `802`, `804`, `807`, `809`, `814`, `817`, `820`, `821`, `822`, `824`, `827`, `828`, `829`, `832`, `834`, `836`, `837`, `839`, `840`, `841`, `843`, `844`, `846`, `847`, `848`, `850`, `851`, `852`, `855`, `116`, `856`, `860`, `861`, `863`, `866`, `868`, `869`, `871`, `874`, `875`, `877`, `879`, `881`, `884`, `886`, `888`, `890`, `891`, `892`, `894`, `897`, `898`, `900`, `901`, `902`, `904`, `905`, `908`, `913`, `914`, `916`, `917`, `918`, `921`, `922`, `924`, `927`, `929`, `932`, `934`, `935`, `937`, `939`, `941`, `943`, `946`, `948`, `949`, `951`, `952`, `954`, `955`, `956`, `958`, `960`, `963`, `965`, `968`, `971`, `972`, `974`, `978`, `981`, `983`, `984`, `986`, `988`, `989`, `991`, `992`, `994`, `997`, `998`, `1000`, `1001`, `1002`, `1004`, `1006`, `1007`, `1008`, `1010`, `1011`, `1013`, `1014`, `1015`, `1017`, `1019`, `1022`, `1024`, `1029`, `1030`, `1032`, `1034`, `767`, `1035`, `1036`, `1037`, `1038`, `1040`, `1041`, `1042`, `1044`, `1045`, `1046`, `1049`, `1050`, `1052`, `1053`, `1055`, `1058`, `1061`, `1065`, `1067`, `1068`, `1071`, `1072`, `1074`, `1076`, `1078`, `1080`, `1081`, `1083`, `1084`, `1086`, `1087`, `1090`, `1091`, `1093`, `1097`, `1098`, `1099`, `1100`, `1102`, `1105`, `1106`, `1107`, `1110`, `1111`, `1113`, `1116`, `1123`, `1126`, `1127`, `1128`, `1129`, `1131`, `1132`, `1133`, `1135`, `1137`, `1139`, `1141`, `1144`, `1145`, `1147`, `1149`, `1150`, `1152`, `1154`, `1155`, `1156`, `1157`, `1158`, `1115`, `1159`, `1160`, `1162`, `1163`, `1164`, `1165`, `1168`, `1170`, `1172`, `1173`, `1174`, `1175`, `1176`, `1177`, `1178`, `1179`, `1181`, `1183`, `1184`, `1186`, `1187`, `1191`, `1195`, `1197`, `1198`, `1200`, `1201`, `1203`, `1205`, `1207`, `1209`, `1211`, `1212`, `1214`, `1215`, `1217`, `1219`, `1220`, `1223`, `1225`, `1227`, `183`, `1228`, `1231`, `1232`, `1234`, `1237`, `1239`, `1240`, `1242`, `1245`, `1247`, `1248`, `1249`, `1251`, `1252`, `1254`, `1255`, `1257`, `1259`, `1261`, `1263`, `1264`, `1266`, `1268`, `1272`, `1273`, `1277`, `1278`, `1280`, `1281`, `1282`, `1285`, `1286`, `1290`, `1291`, `1294`, `1296`, `1298`, `1300`, `1301`, `1303`, `1305`, `1308`, `1309`, `1310`, `1311`, `1312`, `1314`, `1316`, `1318`, `1320`, `1322`, `1324`, `1325`, `1327`, `1329`, `1331`, `1333`, `1335`, `1337`, `1338`, `1339`, `1341`, `1342`, `1343`, `1344`, `1346`, `1347`, `1350`, `142`, `1354`, `1355`, `1357`, `1358`, `1360`, `1362`, `1365`, `1366`, `1367`, `1368`, `1369`, `744`, `1370`, `1372`, `1373`, `1374`, `1375`, `1376`, `1377`, `1378`, `1380`, `1381`, `1382`, `1383`, `1386`, `1388`, `1389`, `1390`, `1394`, `1396`, `1399`, `1402`, `1405`, `1407`, `1409`, `1411`, `1412`, `1413`, `1414`, `1418`, `1419`, `1421`, `1422`, `1423`, `1424`, `1426`, `1427`, `1430`, `1432`, `1433`, `1434`, `1436`, `1438`, `1439`, `1440`, `1441`, `1442`, `1443`, `1446`, `1447`, `1448`, `1449`, `1450`, `1454`, `1456`, `1458`, `1459`, `1460`, `1464`, `1465`, `1467`, `1468`, `1469`, `1470`, `1472`, `1473`, `1475`, `1478`, `1479`, `1481`, `1483`, `1484`, `1486`, `1003`, `1489`, `1491`, `1493`, `1496`, `1498`, `1499`, `1501`, `1503`, `1506`, `1508`, `1511`, `1514`, `1515`, `1517`, `1518`, `1521`, `1522`, `1523`, `1524`, `1525`, `1528`, `1530`, `1531`, `1532`, `1533`, `1537`, `1539`, `1541`, `1542`, `1543`, `1545`, `1546`, `1547`, `1549`, `1550`, `1551`, `1552`, `1553`, `1555`, `1558`, `1559`, `1561`, `1562`, `1564`, `1566`, `1568`, `1570`, `1572`, `1576`, `1577`, `1579`, `1580`, `1582`, `1584`, `1585`, `1588`, `1590`, `1592`, `1593`, `1594`, `1596`, `1597`, `1599`, `1600`, `1601`, `1603`, `1605`, `1607`, `1609`, `1613`, `1615`, `1617`, `1619`, `1622`, `1623`, `1624`, `1625`, `1626`, `1627`, `1628`, `1629`, `1630`, `1633`, `1636`, `1638`, `1639`, `1640`, `1641`, `1643`, `1645`, `1647`, `1649`, `1652`, `1655`, `1656`, `1658`, `1660`, `1662`, `1665`, `1667`, `1669`, `1670`, `1671`, `1673`, `1674`, `1677`, `1678`, `1679`, `1680`, `1683`, `1686`, `1688`, `1689`, `1691`, `1693`, `1694`, `1696`, `1698`, `1699`, `1703`, `1704`, `1707`, `1708`, `1710`, `1712`, `1714`, `1716`, `1718`, `1720`, `1722`, `1724`, `1725`, `1726`, `1727`, `1729`, `1730`, `1731`, `1733`, `1734`, `1736`, `1737`, `1740`, `1741`, `1743`, `1744`, `1746`, `1747`, `1749`, `1750`, `1751`, `1752`, `1754`, `1755`, `1757`, `1758`, `1760`, `1762`, `1764`, `1766`, `1767`, `1769`, `1771`, `1774`, `1777`, `1779`, `1780`, `1781`, `1783`, `1785`, `1786`, `1789`, `1790`, `1793`, `1796`, `1799`, `1800`, `1802`, `1804`, `1805`, `1807`, `1809`, `1810`, `1813`, `1815`, `1817`, `1819`, `1822`, `1823`, `1825`, `1826`, `1827`, `1829`, `1830`, `1833`, `1835`, `1837`, `1840`, `1843`, `1844`, `1846`, `1848`, `1850`, `1853`, `1854`, `1855`, `1857`, `1859`, `1863`, `1865`, `1867`, `1870`, `1872`, `1873`, `1874`, `1875`, `1876`, `1878`, `1879`, `1880`, `1882`, `1884`, `1885`, `1888`, `1889`, `1892`, `1893`, `1895`, `1896`, `1897`, `1898`, `1899`, `1901`, `1903`, `1905`, `1907`, `1909`, `1911`, `1913`, `1915`, `1916`, `1918`, `1919`, `1921`, `1923`, `1925`, `1928`, `1931`, `1933`, `1935`, `1936`, `1938`, `1940`, `1943`, `1945`, `1946`, `1948`, `1951`, `1954`, `1956`, `1957`, `1958`, `1960`, `1962`, `1963`, `1965`, `1967`, `1969`, `1971`, `1973`, `1976`, `1977`, `1979`, `1981`, `1984`, `1986`, `1988`, `1989`, `1991`, `1994`, `1996`, `1999`, `2000`, `2001`, `2003`, `2004`, `2006`, `2008`, `2010`, `2011`, `2016`, `2017`, `2019`, `2020`, `2022`, `2023`, `2024`, `2025`, `2026`, `2027`, `2029`, `2031`, `2033`, `2034`, `2035`, `2036`, `2038`, `2041`, `2042`, `2043`, `2045`, `2047`, `2048`, `2049`, `2051`, `2053`, `2055`, `2057`, `2060`, `2063`, `2064`, `2066`, `2067`, `2068`, `2070`, `2071`, `2072`, `2073`, `2074`, `2075`, `2076`, `2079`, `2080`, `2082`, `2083`, `2084`, `2085`, `2086`, `2087`, `2089`, `2092`, `2094`, `2095`, `2098`, `2100`, `2102`, `2104`, `2105`, `2107`, `2109`, `2110`, `2112`, `2115`, `2117`, `2119`, `2120`, `2121`, `2123`, `2124`, `1482`, `2125`, `2127`, `2129`, `2132`, `2134`, `2137`, `2139`, `2140`, `2143`, `2146`, `2147`, `2148`, `2149`, `2150`, `2152`, `2154`, `2156`, `2157`, `2158`, `2159`, `2160`, `2161`, `2162`, `2164`, `2166`, `2168`, `2169`, `2170`, `2171`, `2173`, `2174`, `2177`, `2178`, `2180`, `2182`, `2183`, `2186`, `2188`, `2189`, `2191`, `2192`, `2193`, `2194`, `2195`, `2197`, `2198`, `2199`, `2200`, `2202`, `2206`, `2208`, `2209`, `2211`, `2214`, `2216`, `2217`, `2220`, `2221`, `2222`, `2223`, `2224`, `2225`, `2226`, `2228`, `2229`, `2230`, `2232`, `2234`, `2236`, `2237`, `2239`, `2241`, `2242`, `2243`, `2244`, `2245`, `2246`, `2248`, `2249`, `2251`, `2252`, `2172`, `2254`, `2256`, `2257`, `2258`, `2259`, `2261`, `2262`, `2263`, `2265`, `2267`, `2268`, `2270`, `2274`, `2277`, `2279`, `2280`, `2281`, `2282`, `2284`, `2286`, `2287`, `2291`, `2293`, `2294`, `2296`, `2297`, `2298`, `2300`, `2303`, `2305`, `2307`, `2308`, `2310`, `2312`, `2314`, `2316`, `2317`, `2319`, `2321`, `2323`, `2325`, `2326`, `2328`, `2329`, `2330`, `2331`, `2332`, `2333`, `2334`, `2336`, `2338`, `2341`, `2343`, `2345`, `2348`, `2349`, `2351`, `2352`, `2353`, `2355`, `2356`, `2358`, `2359`, `2361`, `2362`, `2364`, `2366`, `2368`, `2369`, `2371`, `2373`, `2375`, `2377`, `2378`, `2379`, `2381`, `2382`, `2383`, `2384`, `2385`, `2387`, `2389`, `2392`, `2395`, `2396`, `2398`, `2399`, `2400`, `2404`, `2405`, `2406`, `2410`, `2411`, `2412`, `2413`, `2415`, `2418`, `2420`, `2421`, `2424`, `2425`, `2426`, `2429`, `2432`, `2434`, `2436`, `2437`, `2439`, `2440`, `2441`, `2443`, `2444`, `2446`, `2447`, `2450`, `2452`, `2454`, `2456`, `2459`, `2461`, `2464`, `2465`, `2467`, `2469`, `2471`, `2473`, `2474`, `2476`, `2478`, `2480`, `2481`, `2482`, `2483`, `2484`, `2486`, `2488`, `2489`, `2490`, `2491`, `2493`, `2495`, `2497`, `2499`, `2500`, `2502`, `2503`, `2505`, `2506`, `2507`, `2509`, `2511`, `2513`, `2514`, `2516`, `2518`, `2519`, `2521`, `2522`, `2524`, `2527`, `2528`, `2529`, `2531`, `2533`, `2534`, `2536`, `2537`, `2538`, `2540`, `2542`, `2543`, `2545`, `2546`, `2547`, `2549`, `2550`, `2552`, `2553`, `2556`, `2558`, `2560`, `2561`, `2562`, `2563`, `2564`, `2566`, `2567`, `2568`, `2572`, `2573`, `2574`, `2576`, `2577`, `2579`, `2580`, `2581`, `2583`, `2584`, `2585`, `2586`, `2587`, `2588`, `2589`, `2590`, `2591`, `2592`, `2594`, `2595`, `2598`, `2599`, `2603`, `2604`, `2606`, `2607`, `2608`, `2609`, `2612`, `2616`, `2619`, `2620`, `2622`, `2624`, `2625`, `2626`, `2627`, `2628`, `2631`, `2633`, `2635`, `2637`, `2638`, `2640`, `2641`, `2642`, `2643`, `2645`, `2646`, `2647`, `2649`, `2651`, `2654`, `2655`, `2658`, `2660`, `2661`, `2662`, `2663`, `2665`, `2666`, `1717`, `2667`, `2668`, `2669`, `2670`, `2671`, `2673`, `2674`, `2675`, `2676`, `2678`, `2680`, `2681`, `2684`, `2685`, `2687`, `2688`, `2690`, `2691`, `2692`, `2694`, `2695`, `2696`, `2697`, `2699`, `2701`, `2702`, `2705`, `2708`, `2709`, `2711`, `2714`, `2715`, `2716`, `2718`, `2721`, `2723`, `2724`, `2727`, `2728`, `2729`, `2732`, `2734`, `2737`, `2739`, `2740`, `2742`, `2743`, `2745`, `2748`, `2751`, `2754`, `2755`, `2756`, `2757`, `2758`, `2760`, `2762`, `2764`, `2765`, `2766`, `2428`, `2767`, `2768`, `2769`, `2770`, `2771`, `2774`, `2777`, `2779`, `2782`, `2783`, `2784`, `2786`, `2788`, `2789`, `2790`, `2791`, `2792`, `2794`, `2795`, `2796`, `2797`, `2799`, `2800`, `2801`, `2803`, `2807`, `2808`, `2809`, `2812`, `2816`, `2819`, `2822`, `2823`, `2824`, `2826`, `2827`, `2828`, `2830`, `2831`, `2832`, `2833`, `2834`, `2835`, `2837`, `2839`, `2840`, `2842`, `2843`, `2845`, `2846`, `2847`, `2848`, `2849`, `2851`, `2853`, `2854`, `2855`, `2856`, `2857`, `2858`, `2859`, `2860`, `2861`, `2862`, `2864`, `2865`, `2866`, `2868`, `2872`, `2875`, `2876`, `2878`, `2880`, `2881`, `2882`, `2883`, `2885`, `2886`, `2888`, `2889`, `2890`, `2891`, `2893`, `2894`, `2895`, `2896`, `2897`, `2898`, `2899`, `2902`, `2904`, `2906`, `2907`, `2908`, `2909`, `2912`, `2913`, `2915`, `2916`, `2917`, `2918`, `2921`, `2922`, `2923`, `2924`, `2925`, `2926`, `2928`, `2930`, `2931`, `2935`, `2936`, `2937`, `2938`, `2940`, `2233`, `2942`, `2944`, `2945`, `2947`, `2948`, `2949`, `2951`, `923`, `2952`, `2953`, `2954`, `2955`, `2957`, `2959`, `2962`, `2964`, `2966`, `2967`, `2969`, `2972`, `2973`, `2974`, `2976`, `1715`, `2977`, `2979`, `2980`, `36`, `2981`, `2983`, `2985`, `2986`, `2990`, `2991`, `2993`, `2995`, `2997`, `2998`, `3001`, `3002`, `3003`, `3005`, `3006`, `3007`, `3009`, `3012`, `3014`, `3015`, `3016`, `3018`, `3020`, `3021`, `3022`, `3023`, `3026`, `3028`, `3029`, `3030`, `3032`, `3035`, `3037`, `3039`, `3040`, `3042`, `3044`, `3047`, `3050`, `3052`, `3053`, `3041`, `3054`, `3055`, `3056`, `3057`, `3058`, `3059`, `3061`, `3062`, `3064`, `3066`, `3067`, `3068`, `3070`, `3071`, `3072`, `3073`, `3075`, `3078`, `3082`, `3084`, `3086`, `3087`, `3088`, `3090`, `3091`, `3092`, `3095`, `3096`, `3097`, `3099`, `3100`, `3102`, `3107`, `3109`, `3111`, `3112`, `3114`, `3116`, `3118`, `3120`, `3121`, `3123`, `3124`, `3126`, `3127`, `3129`, `3130`, `3133`, `3134`, `3135`, `3136`, `3137`, `3138`, `3139`, `3140`, `3142`, `3144`, `3145`, `3146`, `3147`, `3148`, `3149`, `3150`, `3151`, `3153`, `3155`, `3157`, `3158`, `3159`, `3160`, `3161`, `3163`, `3165`, `3167`, `3168`, `3170`, `3171`, `3172`, `3174`, `3176`, `3178`, `3180`, `3181`, `3184`, `3185`, `3186`, `3188`, `3189`, `3190`, `3192`, `3194`, `3195`, `3196`, `3197`, `3200`, `3201`, `3202`, `3203`, `3204`, `3205`, `3206`, `3207`, `3210`, `3211`, `3213`, `3214`, `3217`, `3218`, `3220`, `3222`, `3224`, `3227`, `3229`, `3230`, `3231`, `3233`, `3234`, `3235`, `3236`, `3237`, `3240`, `3241`, `3243`, `3245`, `3247`, `3250`, `3252`, `3253`, `3254`, `3255`, `3257`, `3259`, `3260`, `3262`, `3264`, `3266`, `3268`, `3269`, `3271`, `3273`, `3275`, `3277`, `3278`, `3141`, `3279`, `3280`, `3281`, `3282`, `3284`, `3285`, `3287`, `3288`, `3290`, `3291`, `3293`, `3294`, `3296`, `3297`, `3299`, `3300`, `3302`, `3304`, `3305`, `3306`, `3308`, `3309`, `3311`, `3313`, `3314`, `3315`, `3316`, `3317`, `3319`, `3321`, `3323`, `3324`, `3325`, `3327`, `3329`, `3332`, `3333`, `3334`, `3336`, `3337`, `3338`, `3340`, `3341`, `3342`, `3344`, `3346`, `3348`, `3351`, `3353`, `3355`, `3357`, `3360`, `3361`, `3364`, `3367`, `3369`, `3370`, `3372`, `3373`, `3374`, `3377`, `3379`, `3380`, `3382`, `3384`, `3385`, `3387`, `3389`, `3391`, `3392`, `3393`, `3394`, `3395`, `3397`, `3399`, `3400`, `3402`, `3403`, `3404`, `3405`, `3406`, `3407`, `3408`, `3412`, `3414`, `3416`, `3418`, `3420`, `3422`, `3423`, `3424`, `3425`, `3426`, `3428`, `3429`, `3431`, `3432`, `3435`, `3436`, `3438`, `3439`, `3441`, `3443`, `3445`, `3447`, `3450`, `3451`, `3453`, `3455`, `3456`, `3457`, `3458`, `3459`, `3461`, `3462`, `3464`, `3465`, `3467`, `3469`, `3471`, `3473`, `3474`, `3475`, `3476`, `3478`, `3479`, `3481`, `3482`, `3484`, `3487`, `3488`, `3489`, `3491`, `3492`, `3493`, `3494`, `3497`, `3500`, `3501`, `3502`, `3504`, `3506`, `3507`, `3508`, `3511`, `3515`, `3516`, `3518`, `3521`, `3524`, `3526`, `3528`, `3529`, `3532`, `3535`, `3537`, `3538`, `3539`, `3540`, `3541`, `3543`, `3545`, `3546`, `3547`, `3548`, `3549`, `3550`, `3551`, `3553`, `3555`, `3556`, `3557`, `3559`, `3561`, `3563`, `3564`, `3565`, `3567`, `3570`, `3572`, `3574`, `3575`, `3577`, `3579`, `3581`, `3582`, `3584`, `3585`, `3587`, `3588`, `3590`, `3591`, `3592`, `3594`, `3596`, `3599`, `3600`, `3603`, `3605`, `3606`, `3607`, `3608`, `3610`, `3612`, `3615`, `3617`, `3618`, `3619`, `3620`, `3621`, `3623`, `3624`, `3625`, `3626`, `3628`, `3629`, `3630`, `3632`, `3633`, `3635`, `3637`, `3639`, `3642`, `3643`, `3645`, `3646`, `3649`, `3650`, `3652`, `3653`, `3655`, `3656`, `3657`, `3658`, `3659`, `3662`, `3664`, `3665`, `3666`, `3668`, `3671`, `3672`, `3674`, `3676`, `3678`, `3679`, `3680`, `3681`, `3683`, `3684`, `3685`, `3687`, `3688`, `3689`, `3690`, `3691`, `3693`, `3694`, `3695`, `3697`, `3698`, `3699`, `3700`, `3702`, `3703`, `3704`, `3706`, `3709`, `3712`, `3713`, `3714`, `3718`, `3719`, `3721`, `3722`, `3724`, `3725`, `3726`, `3727`, `3730`, `3731`, `3732`, `3734`, `3735`, `3737`, `3739`, `3742`, `3743`, `3744`, `3745`, `3746`, `3747`, `3748`, `3750`, `3752`, `3753`, `3755`, `3757`, `3759`, `3760`, `3762`, `3763`, `3764`, `3765`, `3766`, `3768`, `3770`, `3771`, `3774`, `3775`, `3776`, `3778`, `3779`, `3780`, `3782`, `3784`, `3785`, `3786`, `3789`, `3792`, `3794`, `3795`, `3796`, `3798`, `3799`, `3800`, `3802`, `3803`, `3805`, `3807`, `3808`, `3809`, `3812`, `3815`, `3817`, `3818`, `3819`, `3821`, `3823`, `3824`, `3826`, `3828`, `3829`, `3831`, `3833`, `3834`, `3836`, `3839`, `3840`, `3843`, `3846`, `3849`, `3851`, `3852`, `3853`, `3855`, `3856`, `3859`, `3860`, `3862`, `3864`, `3865`, `3866`, `3868`, `3870`, `3871`, `3872`, `3874`, `3875`, `3876`, `3878`, `3879`, `3880`, `3881`, `3882`, `3884`, `3886`, `3887`, `3890`, `3891`, `3892`, `3893`, `3894`, `3896`, `3897`, `3899`, `3900`, `3901`, `3903`, `3904`, `3905`, `3906`, `3907`, `3908`, `3909`, `3910`, `3911`, `3912`, `3913`, `3915`, `3916`, `3919`, `3921`, `3923`, `3924`, `3926`, `3927`, `3928`, `3930`, `3931`, `3932`, `3934`, `3936`, `3939`, `3941`, `3942`, `3943`, `3946`, `3948`, `3949`, `3950`, `3951`, `3952`, `3954`, `3956`, `3957`, `3958`, `3960`, `3961`, `3964`, `3967`, `3968`, `3971`, `3974`, `3975`, `3976`, `3979`, `3981`, `3983`, `3985`, `3986`, `3989`, `3990`, `3993`, `3994`, `3995`, `3996`, `3997`, `3998`, `3999`, `4001`, `4003`, `4004`, `4005`, `4007`, `4009`, `4010`, `4011`, `4013`, `4014`, `4015`, `4017`, `4019`, `4022`, `4023`, `4025`, `4026`, `4027`, `4028`, `4029`, `4030`, `4032`, `4035`, `4037`, `4040`, `4041`, `4042`, `4043`, `4045`, `4048`, `4051`, `4053`, `4055`, `4057`, `4058`, `4059`, `4060`, `4061`, `4062`, `4063`, `4065`, `4067`, `4068`, `4070`, `4072`, `4073`, `4074`, `4075`, `4077`, `4080`, `4081`, `4083`, `4085`, `4088`, `4089`, `4091`, `4093`, `4094`, `4095`, `4096`, `4098`, `4101`, `4102`, `4104`, `4105`, `4106`, `4108`, `4109`, `4111`, `4112`, `4113`, `4115`, `4117`, `4119`, `4122`, `4123`, `4124`, `4125`, `4126`, `4127`, `4128`, `4130`, `4131`, `4134`, `4135`, `4136`, `4137`, `4138`, `4139`, `4141`, `4143`, `4145`, `4147`, `4148`, `4150`, `4151`, `4154`, `4155`, `4157`, `4159`, `4160`, `4163`, `4164`, `4166`, `4169`, `4171`, `4172`, `4173`, `4175`, `4176`, `4177`, `4179`, `4180`, `4181`, `4183`, `4184`, `4185`, `4187`, `4188`, `4190`, `4191`, `4193`, `4194`, `4195`, `4198`, `4201`, `4204`, `4205`, `4206`, `4209`, `4210`, `4212`, `4215`, `4216`, `4218`, `4219`, `4224`, `4225`, `4227`, `4229`, `4230`, `4231`, `4232`, `4234`, `4236`, `4237`, `4238`, `4239`, `4242`, `4244`, `4246`, `4247`, `4250`, `4251`, `4253`, `4256`, `4260`, `4261`, `4263`, `4265`, `4267`, `4268`, `4269`, `4270`, `4272`, `4274`, `4277`, `4278`, `4279`, `4281`, `4282`, `4284`, `4286`, `4287`, `4288`, `4291`, `4293`, `4294`, `4295`, `4296`, `4298`, `4299`, `4301`, `4303`, `4305`, `4306`, `4307`, `4308`, `4309`, `4310`, `4313`, `4315`, `4317`, `4319`, `4320`, `4322`, `4324`, `4326`, `4328`, `4329`, `4331`, `4332`, `4333`, `4334`, `4335`, `4336`, `4338`, `4340`, `4343`, `4344`, `4346`, `4347`, `4348`, `4349`, `4351`, `4353`, `4355`, `4357`, `4358`, `4359`, `4360`, `4361`, `4362`, `4363`, `4365`, `4367`, `4369`, `4372`, `4373`, `4374`, `4375`, `4379`, `4381`, `4383`, `4385`, `4386`, `4388`, `4389`, `4391`, `4392`, `4393`, `4395`, `4396`, `4399`, `4400`, `4402`, `4404`, `4406`, `4407`, `4411`, `4412`, `4413`, `4414`, `4415`, `4418`, `4420`, `4422`, `4425`, `4426`, `4428`, `4429`, `4430`, `4432`, `4433`, `4435`, `4438`, `4440`, `4442`, `4444`, `4445`, `4446`, `4448`, `4450`, `4451`, `4452`, `4455`, `4457`, `4459`, `4461`, `4462`, `4464`, `4467`, `4468`, `4469`, `4470`, `4471`, `4473`, `4474`, `4475`, `4478`, `4480`, `4483`, `4485`, `4487`, `4488`, `4490`, `4491`, `4493`, `867`, `4494`, `4496`, `4497`, `4498`, `4499`, `4500`, `4501`, `4503`, `4505`, `4507`, `4508`, `4509`, `4510`, `4512`, `4515`, `4517`, `4518`, `4519`, `4521`, `1589`, `4522`, `4524`, `4525`, `4527`, `4529`, `4531`, `4533`, `4534`, `4535`, `4537`, `4538`, `4539`, `4540`, `4541`, `4542`, `4543`, `4544`, `4545`, `4546`, `4547`, `4549`, `4551`, `4552`, `4553`, `4554`, `4556`, `4557`, `4558`, `4559`, `4562`, `4563`, `4566`, `4567`, `4569`, `4570`, `4572`, `4574`, `4576`, `4577`, `4579`, `4580`, `4581`, `4583`, `4585`, `4586`, `4588`, `4591`, `4592`, `4594`, `4595`, `4596`, `4597`, `4598`, `4599`, `4600`, `4601`, `4603`, `4606`, `4608`, `4609`, `4610`, `4612`, `4614`, `4616`, `4617`, `4620`, `4621`, `4623`, `4624`, `4625`, `4626`, `4627`, `4629`, `4631`, `4633`, `4635`, `4636`, `4637`, `4638`, `4639`, `4640`, `4642`, `4644`, `4646`, `4647`, `4648`, `4649`, `4650`, `4651`, `4653`, `4655`, `4657`, `4658`, `4659`, `4661`, `4662`, `4663`, `4664`, `4665`, `4667`, `4668`, `4669`, `4671`, `4673`, `4675`, `4676`, `4680`, `4681`, `4683`, `4684`, `4686`, `4687`, `4690`, `4693`, `4695`, `4696`, `4699`, `4700`, `4702`, `4703`, `4704`, `4707`, `4708`, `4709`, `4710`, `4711`, `4713`, `4715`, `4716`, `4718`, `4719`, `4721`, `4726`, `4727`, `4729`, `4731`, `4735`, `4737`, `4738`, `4739`, `4741`, `4743`, `4744`, `4748`, `4749`, `4753`, `4755`, `4756`, `4757`, `4758`, `4759`, `4761`, `4763`, `4764`, `4766`, `4768`, `4769`, `4770`, `4772`, `4774`, `4775`, `4777`, `4779`, `4780`, `4782`, `4783`, `4785`, `4787`, `4788`, `4791`, `4792`, `4793`, `4795`, `4797`, `4801`, `4802`, `4804`, `4806`, `4808`, `4809`, `4810`, `4811`, `4813`, `4815`, `4817`, `4818`, `4820`, `4821`, `4823`, `4826`, `4827`, `4828`, `4830`, `4831`, `4833`, `4834`, `4838`, `4840`, `4843`, `4845`, `4847`, `4848`, `4849`, `4850`, `4851`, `4854`, `4855`, `4856`, `4858`, `4860`, `4862`, `4863`, `4864`, `4866`, `4867`, `4869`, `4871`, `4872`, `4874`, `4875`, `4876`, `4878`, `4880`, `4881`, `4883`, `4885`, `4886`, `4889`, `4890`, `4892`, `4893`, `4894`, `4896`, `4897`, `4899`, `4900`, `4902`, `4903`, `4904`, `4905`, `4907`, `4908`, `4909`, `4911`, `4913`, `4914`, `4918`, `4920`, `4922`, `4924`, `4925`, `4926`, `4927`, `4928`, `4929`, `4931`, `4932`, `4933`, `4934`, `4935`, `4937`, `813`, `4941`, `4943`, `4945`, `4946`, `4947`, `4948`, `4950`, `4952`, `4954`, `4955`, `4956`, `4959`, `4962`, `4963`, `4964`, `4967`, `4969`, `4970`, `4972`, `4973`, `4974`, `4976`, `4977`, `4978`, `4980`, `4982`, `4984`, `4986`, `4989`, `4990`, `4991`, `4992`, `4994`, `4995`, `4997`, `4999`, `5002`, `5003`, `5004`, `5005`, `5007`, `5009`, `5010`, `5013`, `5014`, `5016`, `5017`, `5018`, `5019`, `5020`, `5021`, `5022`, `5024`, `5025`, `5026`, `5027`, `5029`, `5030`, `5032`, `5034`, `5035`, `5036`, `5037`, `5039`, `5042`, `5043`, `5045`, `5046`, `5049`, `5051`, `5053`, `5054`, `5056`, `5057`, `5058`, `5061`, `5063`, `5066`, `5068`, `5069`, `5070`, `5071`, `5072`, `5075`, `5077`, `5078`, `5080`, `5082`, `5084`, `5085`, `5087`, `5089`, `5090`, `5092`, `5094`, `5095`, `5096`, `5099`, `5100`, `5101`, `5102`, `5104`, `5105`, `5107`, `5109`, `5110`, `5112`, `5116`, `5120`, `5121`, `5122`, `5124`, `5125`, `5127`, `5128`, `5129`, `5132`, `5133`, `5135`, `5138`, `5141`, `5142`, `5143`, `5144`, `5145`, `5146`, `5148`, `5150`, `5151`, `5154`, `5155`, `5156`, `5159`, `5162`, `5163`, `5164`, `5165`, `5166`, `5168`, `5169`, `5170`, `5172`, `5173`, `5174`, `5176`, `5177`, `5179`, `5181`, `5182`, `957`, `5183`, `5184`, `5185`, `5188`, `5189`, `5191`, `5192`, `5195`, `5196`, `5198`, `5200`, `5201`, `5203`, `5204`, `5205`, `5207`, `5208`, `5210`, `5211`, `5214`, `5215`, `5216`, `5217`, `5218`, `5219`, `5220`, `5221`, `5222`, `5224`, `5225`, `5226`, `5227`, `5229`, `5231`, `5232`, `5234`, `5235`, `5237`, `5238`, `5240`, `5241`, `5242`, `5245`, `5246`, `5251`, `5253`, `5256`, `5257`, `2677`, `5259`, `5261`, `5263`, `5264`, `5266`, `5267`, `5271`, `5274`, `5275`, `5279`, `5280`, `5281`, `5283`, `5285`, `5287`, `5289`, `5290`, `5291`, `5293`, `5296`, `5297`, `5299`, `5300`, `5301`, `5302`, `5305`, `5307`, `5309`, `5311`, `5314`, `5315`, `5316`, `5317`, `5319`, `5320`, `5321`, `5323`, `5324`, `5326`, `5327`, `5329`, `5331`, `5332`, `5333`, `5334`, `5336`, `5337`, `5339`, `5340`, `5341`, `5343`, `5346`, `5347`, `5348`, `5349`, `5351`, `5352`, `5353`, `5354`, `5356`, `5357`, `1020`, `5358`, `5359`, `5360`, `5361`, `5362`, `5363`, `5364`, `5365`, `5367`, `5369`, `5370`, `5371`, `5373`, `5374`, `5377`, `5379`, `5382`, `5383`, `5384`, `5386`, `5387`, `5389`, `5390`, `5393`, `5394`, `5396`, `5397`, `5399`, `5400`, `5402`, `5403`, `5404`, `4463`, `5406`, `5409`, `5410`, `5412`, `5413`, `5415`, `5416`, `5417`, `5419`, `5420`, `5421`, `5422`, `5423`, `5425`, `5428`, `5429`, `5431`, `5432`, `5434`, `5435`, `5437`, `5439`, `5441`, `5446`, `5447`, `5450`, `5452`, `5453`, `5456`, `5458`, `5462`, `5464`, `5465`, `5467`, `5468`, `5469`, `5470`, `5471`, `5473`, `5475`, `5476`, `5477`, `5479`, `5480`, `5482`, `5484`, `5485`, `5487`, `5489`, `3877`, `5490`, `5492`, `5493`, `5494`, `5497`, `5498`, `5499`, `5500`, `5503`, `5505`, `5506`, `5509`, `5510`, `5511`, `5513`, `5514`, `5517`, `5520`, `5521`, `5522`, `5524`, `5526`, `5529`, `5530`, `5531`, `5532`, `5533`, `5534`, `5535`, `5536`, `5537`, `5539`, `5540`, `5542`, `5543`, `5545`, `5546`, `5548`, `5549`, `5550`, `5552`, `5554`, `5556`, `5557`, `5559`, `5560`, `3089`, `5563`, `5564`, `5565`, `5567`, `5569`, `5570`, `5572`, `5575`, `5576`, `5578`, `5579`, `5580`, `5582`, `5583`, `5584`, `5585`, `5587`, `5589`, `5590`, `5591`, `5595`, `5597`, `5598`, `5599`, `5602`, `5603`, `5606`, `5608`, `5611`, `5613`, `4981`, `5614`, `5616`, `5617`, `5622`, `5623`, `5624`, `5625`, `5626`, `5627`, `5630`, `5631`, `5633`, `5634`, `5635`, `5637`, `3169`, `5639`, `5641`, `5643`, `5645`, `5646`, `5649`, `5651`, `5654`, `5655`, `5657`, `5659`, `5660`, `5662`, `5663`, `5664`, `5665`, `5667`, `5668`, `5669`, `5670`, `5671`, `5672`, `5673`, `5676`, `5681`, `5682`, `5683`, `5684`, `5685`, `5687`, `5689`, `5691`, `5693`, `5694`, `5698`, `5700`, `5702`, `5703`, `5704`, `5706`, `5708`, `5709`, `5710`, `5713`, `5715`, `5717`, `5718`, `5719`, `5723`, `5724`, `5725`, `5726`, `5728`, `5730`, `5731`, `5733`, `5734`, `5736`, `5738`, `5741`, `5743`, `5744`, `5747`, `5748`, `5749`, `5751`, `5752`, `5754`, `5756`, `5757`, `5759`, `5760`, `5761`, `5762`, `5763`, `5764`, `5766`, `5768`, `5770`, `5771`, `5773`, `5775`, `5776`, `5777`, `5778`, `5780`, `5782`, `5784`, `5786`, `5787`, `5788`, `5790`, `5791`, `5792`, `5795`, `5796`, `5798`, `5799`, `5800`, `5801`, `5802`, `5805`, `5806`, `5811`, `5813`, `5814`, `5815`, `5816`, `5817`, `5818`, `5820`, `5821`, `5822`, `5823`, `5824`, `5827`, `5830`, `5832`, `5833`, `5834`, `5836`, `5837`, `5839`, `5840`, `5841`, `5842`, `5845`, `5847`, `5849`, `5851`, `5853`, `5856`, `5859`, `5862`, `5863`, `5865`, `5867`, `5868`, `5870`, `5872`, `5873`, `5875`, `5876`, `5877`, `5878`, `5879`, `5881`, `5883`, `5886`, `5887`, `5888`, `5889`, `5891`, `5892`, `5895`, `5896`, `5898`, `5900`, `5903`, `5904`, `5905`, `5906`, `5908`, `5909`, `5912`, `5915`, `5916`, `5917`, `5918`, `5919`, `5920`, `5922`, `5923`, `5925`, `5927`, `5928`, `5929`, `5931`, `5932`, `5933`, `5935`, `5939`, `5940`, `5941`, `5943`, `5945`, `5947`, `5948`, `5950`, `5951`, `5952`, `5955`, `5956`, `5957`, `5958`, `5959`, `5961`, `5962`, `5963`, `5964`, `5965`, `5967`, `5968`, `5969`, `5970`, `5971`, `5972`, `5974`, `5976`, `5977`, `5978`, `5980`, `5982`, `5983`, `5984`, `5986`, `5987`, `5988`, `5990`, `5991`, `5993`, `5995`, `5996`, `5999`, `6000`, `6003`, `6004`, `6006`, `6009`, `6010`, `6011`, `6012`, `6013`, `6015`, `6016`, `6019`, `6020`, `6022`, `6024`, `6025`, `6028`, `6031`, `6032`, `6036`, `6037`, `6039`, `6040`, `6041`, `6042`, `6044`, `6046`, `6047`, `6048`, `6049`, `6050`, `6051`, `6052`, `6054`, `6056`, `6057`, `6058`, `6059`, `6061`, `6062`, `6063`, `6065`, `6066`, `6068`, `6069`, `6071`, `6072`, `6073`, `6074`, `6075`, `6076`, `6078`, `6079`, `6080`, `6082`, `6083`, `6085`, `6087`, `6088`, `6090`, `6091`, `6092`, `6094`, `6095`, `6096`, `6097`, `6099`, `6100`, `6102`, `6104`, `6106`, `6108`, `6109`, `6110`, `6111`, `6112`, `6115`, `6118`, `6121`, `6123`, `6124`, `6125`, `6127`, `6128`, `6129`, `6130`, `6131`, `6132`, `6133`, `6134`, `6135`, `6136`, `6137`, `6138`, `6139`, `6140`, `6141`, `6142`, `6143`, `6144`, `6145`, `6147`, `6149`, `6151`, `6153`, `6154`, `6155`, `6156`, `6157`, `6158`, `6160`, `6161`, `6162`, `6163`, `6165`, `6166`, `6167`, `6168`, `6169`, `6170`, `6172`, `6174`, `6176`, `6177`, `6178`, `6180`, `6183`, `6185`, `6188`, `6190`, `6194`, `6196`, `6197`, `6198`, `6199`, `6201`, `6202`, `6203`, `6206`, `6207`, `6210`, `6211`, `6212`, `6214`, `6215`, `6218`, `6219`, `6220`, `6222`, `6223`, `6224`, `6225`, `6226`, `6228`, `6229`, `6230`, `6232`, `6236`, `6238`, `6240`, `6242`, `6243`, `6245`, `6246`, `6247`, `6249`, `6250`, `6252`, `6253`, `6255`, `6257`, `6258`, `6261`, `6262`, `6263`, `6264`, `6266`, `6268`, `6269`, `6270`, `6273`, `6274`, `6275`, `6276`, `6277`, `6278`, `6280`, `6282`, `6283`, `6284`, `6287`, `6289`, `6290`, `6291`, `6292`, `6293`, `6295`, `1732`, `6296`, `6299`, `6300`, `6302`, `6303`, `6305`, `6306`, `6307`, `6308`, `6309`, `6310`, `6311`, `6312`, `6315`, `6317`, `6319`, `6320`, `6322`, `6323`, `6324`, `6325`, `6328`, `6330`, `6331`, `6332`, `6333`, `6334`, `6336`, `6338`, `6339`, `6341`, `6343`, `6345`, `6347`, `6348`, `6349`, `6351`, `6352`, `6354`, `6357`, `6358`, `6360`, `6361`, `6362`, `6364`, `6365`, `6367`, `6369`, `6370`, `6371`, `111`, `6372`, `6373`, `2065`, `6374`, `6375`, `6377`, `6378`, `6380`, `6381`, `6382`, `6384`, `6385`, `6386`, `6387`, `6388`, `6391`, `6392`, `6393`, `6394`, `6396`, `6397`, `6399`, `6400`, `6401`, `6402`, `6404`, `6407`, `6408`, `6409`, `6411`, `6414`, `6416`, `6418`, `6419`, `6421`, `6422`, `6423`, `6425`, `6426`, `6428`, `6429`, `6430`, `6431`, `6432`, `6434`, `6435`, `6436`, `6437`, `6438`, `6440`, `6441`, `6442`, `6443`, `6444`, `6445`, `6447`, `6449`, `6451`, `6452`, `6455`, `6456`, `6457`, `6458`, `6459`, `6460`, `6462`, `6463`, `6464`, `6465`, `6466`, `6469`, `6470`, `6471`, `6473`, `6474`, `6475`, `6476`, `6478`, `6480`, `6481`, `6482`, `6485`, `6486`, `6487`, `6488`, `6489`, `6490`, `6491`, `6493`, `6494`, `6495`, `6497`, `6498`, `6499`, `5134`, `6500`, `6501`, `6502`, `6503`, `6504`, `6506`, `6508`, `6509`, `6510`, `6511`, `6512`, `6514`, `6515`, `6516`, `6517`, `6518`, `6519`, `6520`, `6521`, `6523`, `6526`, `6527`, `6529`, `6531`, `6533`, `6535`, `6536`, `6537`, `6538`, `6539`, `6540`, `6543`, `6544`, `6545`, `6547`, `6550`, `6551`, `6552`, `6553`, `6554`, `6555`, `6557`, `6559`, `6560`, `6561`, `6562`, `6564`, `6565`, `6567`, `6568`, `6569`, `6570`, `6571`, `6574`, `6575`, `6578`, `6579`, `6580`, `6581`, `6583`, `6584`, `6586`, `6588`, `6589`, `6591`, `6593`, `6595`, `6597`, `6599`, `6600`, `6601`, `6602`, `6604`, `6605`, `6607`, `6609`, `6611`, `6614`, `6615`, `6616`, `6618`, `6619`, `6620`, `6622`, `6623`, `1924`, `6626`, `6628`, `6629`, `6631`, `6633`, `6635`, `6637`, `6638`, `6639`, `6641`, `6643`, `6644`, `6647`, `6649`, `6650`, `6651`, `6652`, `6654`, `6655`, `6656`, `6658`, `6659`, `6661`, `6662`, `6663`, `6664`, `6665`, `6666`, `6667`, `6669`, `6670`, `6672`, `6673`, `6674`, `6675`, `6676`, `6678`, `6680`, `6681`, `6682`, `6684`, `6685`, `6689`, `6690`, `6691`, `6694`, `6696`, `6697`, `6698`, `6699`, `6701`, `6702`, `6703`, `6704`, `6706`, `6707`, `6709`, `6710`, `6712`, `6714`, `6715`, `6717`, `6718`, `6719`, `6720`, `6721`, `6724`, `6725`, `6727`, `6730`, `6732`, `6733`, `6736`, `6739`, `6740`, `6743`, `6745`, `6746`, `6747`, `6748`, `6749`, `6751`, `6754`, `6755`, `6756`, `6757`, `6758`, `6759`, `6761`, `6763`, `6765`, `6768`, `6770`, `6773`, `6774`, `6775`, `6777`, `6778`, `6780`, `6783`, `6784`, `6785`, `6787`, `6789`, `6790`, `6792`, `6796`, `6799`, `6800`, `6801`, `6802`, `6803`, `6805`, `6807`, `6808`, `6810`, `6812`, `6814`, `6817`, `6819`, `6821`, `6822`, `6824`, `6826`, `6828`, `6829`, `6830`, `6832`, `6834`, `6835`, `6836`, `6839`, `6841`, `6844`, `6846`, `6848`, `6850`, `6851`, `6852`, `6853`, `6854`, `6855`, `6856`, `6858`, `6859`, `6860`, `6862`, `6863`, `6864`, `6866`, `6868`, `6869`, `6871`, `6873`, `6877`, `6880`, `6884`, `6885`, `6887`, `6888`, `6889`, `6892`, `6893`, `6894`, `6895`, `6898`, `6900`, `6901`, `6902`, `6904`, `6905`, `6906`, `6907`, `6909`, `6911`, `6914`, `6915`, `6916`, `6918`, `6919`, `6921`, `6922`, `6923`, `6924`, `6925`, `6926`, `6929`, `6930`, `6931`, `6934`, `6935`, `6937`, `6939`, `6940`, `6941`, `6944`, `6946`, `6947`, `6948`, `6950`, `6952`, `6954`, `6956`, `6957`, `6959`, `6960`, `6961`, `6963`, `6964`, `6965`, `6966`, `6968`, `6969`, `6970`, `6971`, `6972`, `6973`, `6974`, `6975`, `6977`, `1222`, `6979`, `6980`, `6981`, `6982`, `6983`, `6984`, `6985`, `6987`, `6988`, `6989`, `6990`, `6991`, `6992`, `6993`, `6994`, `6997`, `6998`, `7000`, `7001`, `7002`, `7003`, `7004`, `7007`, `7009`, `7010`, `7011`, `7013`, `7014`, `7016`, `7017`, `7019`, `7020`, `7021`, `7023`, `7024`, `7026`, `2231`, `7027`, `7028`, `7029`, `7031`, `7032`, `7033`, `7034`, `7035`, `7037`, `7038`, `7039`, `7040`, `7042`, `7043`, `7044`, `7045`, `7046`, `7048`, `7049`, `7051`, `7053`, `7055`, `7059`, `7060`, `7061`, `7062`, `7064`, `7065`, `7067`, `7068`, `7071`, `7072`, `7073`, `7074`, `7076`, `7077`, `7081`, `7084`, `7085`, `7088`, `7090`, `7092`, `7093`, `7095`, `7096`, `7097`, `7098`, `7100`, `7101`, `7102`, `7104`, `7107`, `7108`, `7112`, `7113`, `7115`, `7116`, `7117`, `7120`, `7121`, `7122`, `7123`, `7124`, `7125`, `7126`, `7128`, `7131`, `7132`, `7133`, `7134`, `7135`, `7138`, `7140`, `7141`, `7142`, `7143`, `7145`, `7146`, `7148`, `7149`, `7152`, `7156`, `7158`, `7159`, `7160`, `7161`, `7162`, `7163`, `7166`, `7169`, `7170`, `7173`, `7174`, `7177`, `7178`, `7179`, `7180`, `7181`, `7183`, `7184`, `7185`, `7186`, `7188`, `7189`, `7191`, `7192`, `7195`, `7198`, `7199`, `7201`, `7203`, `7204`, `7205`, `7206`, `7208`, `7213`, `7215`, `7216`, `7219`, `7221`, `7224`, `7225`, `7227`, `7229`, `7231`, `7232`, `7235`, `7236`, `7237`, `7239`, `7240`, `7242`, `7243`, `7245`, `7246`, `7247`, `7248`, `7252`, `7253`, `7254`, `7256`, `7258`, `7259`, `7260`, `7262`, `7263`, `7264`, `7266`, `7268`, `7270`, `7271`, `7272`, `7273`, `7274`, `7276`, `7277`, `7278`, `7281`, `7282`, `7283`, `7286`, `7288`, `7290`, `1256`, `7291`, `7292`, `7293`, `7295`, `7298`, `7299`, `7301`, `7302`, `7303`, `7304`, `7306`, `7307`, `7308`, `7310`, `7312`, `7313`, `7316`, `7317`, `7318`, `7319`, `7320`, `7323`, `7324`, `7326`, `7328`, `7331`, `7332`, `7334`, `7336`, `7337`, `7338`, `7340`, `7342`, `7343`, `7344`, `7345`, `7346`, `7347`, `7348`, `7350`, `7352`, `7353`, `5131`, `7354`, `7356`, `7358`, `7360`, `7362`, `7363`, `7366`, `7367`, `7368`, `7369`, `7373`, `7374`, `7375`, `7376`, `7377`, `7378`, `7379`, `7382`, `7383`, `7384`, `7385`, `7386`, `7387`, `7388`, `7389`, `7392`, `7395`, `7397`, `7398`, `7400`, `7402`, `7405`, `7406`, `7408`, `7410`, `7411`, `7412`, `7414`, `7416`, `7417`, `7419`, `7421`, `7423`, `7425`, `7427`, `7428`, `7429`, `7430`, `7432`, `7434`, `7435`, `7436`, `7437`, `7439`, `7440`, `7443`, `7444`, `7445`, `7447`, `7448`, `7449`, `7451`, `7453`, `7454`, `7456`, `7458`, `7459`, `7460`, `7462`, `7463`, `7464`, `7465`, `7466`, `7467`, `7468`, `7469`, `7470`, `7471`, `7472`, `7475`, `7477`, `7478`, `7479`, `7481`, `7482`, `7483`, `7484`, `7485`, `7486`, `7487`, `7488`, `7490`, `7492`, `7496`, `7497`, `7498`, `7500`, `7501`, `7503`, `7505`, `7506`, `7509`, `7511`, `7512`, `7514`, `7515`, `7516`, `7518`, `7522`, `7523`, `7524`, `7255`, `7526`, `7527`, `7530`, `7532`, `7533`, `7535`, `7536`, `7539`, `7541`, `7544`, `7547`, `7548`, `7550`, `7552`, `7553`, `7555`, `7556`, `7558`, `7559`, `7560`, `7561`, `7563`, `7564`, `7565`, `7566`, `7567`, `7569`, `7571`, `7575`, `7577`, `7578`, `7580`, `7581`, `7585`, `7586`, `7588`, `7590`, `7593`, `7595`, `7597`, `7599`, `7600`, `7601`, `7603`, `7605`, `7607`, `7608`, `7609`, `7610`, `7611`, `7612`, `7613`, `7614`, `7615`, `7616`, `7617`, `7619`, `7620`, `7621`, `7622`, `7623`, `7625`, `7628`, `7630`, `7631`, `7632`, `7634`, `7635`, `3191`, `7636`, `7637`, `7639`, `7641`, `7642`, `7643`, `7644`, `7645`, `7646`, `7647`, `7648`, `7649`, `7650`, `7652`, `7653`, `7654`, `7655`, `7657`, `7658`, `7659`, `7660`, `7661`, `7662`, `7664`, `7665`, `7667`, `7668`, `7670`, `7672`, `7673`, `7674`, `7675`, `7677`, `7678`, `7679`, `7680`, `7681`, `7682`, `7684`, `7686`, `7687`, `7688`, `7690`, `7692`, `7693`, `7695`, `7696`, `7698`, `7700`, `7701`, `7703`, `7704`, `7707`, `7710`, `7711`, `7713`, `7714`, `7715`, `7717`, `7718`, `7719`, `7721`, `7722`, `7723`, `7725`, `7726`, `7728`, `7729`, `7730`, `7731`, `7732`, `7733`, `7734`, `7735`, `7737`, `7739`, `7741`, `7743`, `7744`, `7745`, `7748`, `7750`, `7752`, `7753`, `7755`, `7756`, `7757`, `7758`, `7759`, `7760`, `7761`, `7762`, `7763`, `7764`, `7765`, `7766`, `7767`, `7768`, `7769`, `7771`, `7772`, `7774`, `7775`, `7776`, `7778`, `7779`, `7781`, `7782`, `7784`, `7785`, `7788`, `7789`, `7790`, `7791`, `7793`, `7794`, `7796`, `7798`, `7800`, `7801`, `7803`, `7804`, `7806`, `7808`, `7810`, `7811`, `7813`, `7816`, `7817`, `7819`, `7822`, `7824`, `7826`, `7828`, `7831`, `7833`, `7834`, `7836`, `7838`, `7840`, `7841`, `7842`, `7844`, `7846`, `7848`, `7850`, `7851`, `7852`, `7853`, `7854`, `7855`, `7856`, `7857`, `7859`, `7860`, `7861`, `7862`, `7863`, `7866`, `7868`, `7871`, `7873`, `7875`, `7876`, `7878`, `7880`, `7883`, `7884`, `7885`, `7886`, `7888`, `7889`, `7891`, `7894`, `7895`, `7896`, `7898`, `7899`, `7900`, `7901`, `7902`, `7903`, `7905`, `7907`, `7909`, `7910`, `7912`, `7914`, `7915`, `7916`, `7917`, `7919`, `5472`, `7920`, `7921`, `7922`, `7923`, `7924`, `7926`, `7928`, `7930`, `7931`, `7933`, `7934`, `7935`, `7937`, `7938`, `7939`, `7941`, `7942`, `7945`, `7946`, `7947`, `7948`, `7951`, `7952`, `7953`, `7955`, `7956`, `7959`, `7960`, `7961`, `7962`, `7963`, `7964`, `7965`, `7966`, `7967`, `7969`, `7970`, `7971`, `7972`, `7974`, `7975`, `7976`, `7977`, `7978`, `7979`, `7982`, `7984`, `7985`, `7987`, `7988`, `7989`, `7990`, `7992`, `7993`, `7994`, `7995`, `7997`, `7998`, `7999`, `8000`, `8001`, `8002`, `8007`, `8008`, `8009`, `8011`, `8012`, `8014`, `8016`, `8019`, `8021`, `8023`, `8025`, `8027`, `8028`, `8030`, `8031`, `8032`, `8033`, `8035`, `8037`, `3820`, `8038`, `8040`, `8042`, `8044`, `8046`, `8047`, `8048`, `8049`, `2686`, `8050`, `8051`, `8053`, `8054`, `8055`, `8056`, `8058`, `8061`, `8062`, `8064`, `8065`, `8066`, `8067`, `8068`, `8069`, `8071`, `8072`, `8073`, `8074`, `8075`, `8076`, `8077`, `8078`, `8079`, `8080`, `8081`, `8083`, `8084`, `8085`, `8086`, `8087`, `8088`, `8090`, `8091`, `8093`, `8094`, `8095`, `8097`, `8098`, `8099`, `8101`, `8103`, `8104`, `8106`, `8108`, `8109`, `8110`, `8111`, `8112`, `8113`, `8115`, `8117`, `8118`, `8119`, `8120`, `8121`, `8124`, `8125`, `8127`, `8128`, `8129`, `8130`, `8131`, `8132`, `8133`, `8134`, `8136`, `8137`, `8139`, `8141`, `8142`, `8144`, `8145`, `8147`, `8151`, `8154`, `8155`, `8157`, `8158`, `8160`, `8161`, `8162`, `8164`, `8166`, `8167`, `8168`, `8169`, `8170`, `8171`, `8173`, `8174`, `8176`, `8177`, `8178`, `8179`, `8181`, `8182`, `8183`, `8185`, `8186`, `8187`, `8188`, `8189`, `8190`, `8191`, `8192`, `8193`, `8194`, `8195`, `8197`, `8199`, `8201`, `8202`, `8203`, `7736`, `8204`, `8205`, `8206`, `8207`, `8209`, `8210`, `8211`, `8213`, `8215`, `8216`, `8218`, `8219`, `8220`, `8221`, `8222`, `8223`, `7839`, `8224`, `8225`, `8227`, `2984`, `8229`, `8230`, `8231`, `8232`, `8235`, `8237`, `8239`, `8240`, `8241`, `8245`, `8246`, `8248`, `8249`, `8250`, `8253`, `8254`, `8256`, `8257`, `8259`, `8260`, `8261`, `8263`, `8264`, `8265`, `8266`, `8267`, `8268`, `8269`, `8271`, `8272`, `8273`, `8274`, `8275`, `8280`, `8281`, `8282`, `8284`, `8285`, `8286`, `8287`, `8288`, `8290`, `8291`, `8292`, `8293`, `8294`, `8295`, `8297`, `8299`, `8300`, `8301`, `8302`, `8303`, `8306`, `8308`, `8309`, `8310`, `8312`, `8313`, `8314`, `8316`, `8317`, `8319`, `8321`, `8323`, `8325`, `8326`, `8327`, `8329`, `8330`, `8331`, `8332`, `8333`, `8336`, `8338`, `8339`, `8296`, `8340`, `8342`, `8343`, `8344`, `8345`, `8347`, `8349`, `8350`, `8352`, `8357`, `8359`, `8360`, `8361`, `8362`, `8363`, `8365`, `8366`, `8367`, `8369`, `8370`, `8372`, `8373`, `8375`, `8377`, `8378`, `8379`, `8381`, `8382`, `8383`, `8385`, `8388`, `8389`, `8391`, `8392`, `8394`, `8396`, `8398`, `8270`, `8399`, `8402`, `8404`, `8405`, `8407`, `8409`, `8411`, `8412`, `8414`, `8415`, `8417`, `8419`, `8420`, `8423`, `8426`, `8427`, `8428`, `8431`, `8432`, `8433`, `8434`, `8435`, `8437`, `8438`, `8441`, `8443`, `8444`, `8445`, `8446`, `8447`, `8449`, `8453`, `8455`, `8457`, `8459`, `8460`, `8462`, `8463`, `8464`, `8466`, `8467`, `8468`, `8469`, `8470`, `8472`, `8473`, `8474`, `8475`, `8476`, `8478`, `8479`, `8481`, `8484`, `8485`, `8486`, `8488`, `8489`, `8491`, `8494`, `8495`, `8496`, `8497`, `8498`, `8499`, `8500`, `8503`, `8505`, `8506`, `8508`, `8509`, `8510`, `8511`, `8512`, `8513`, `8514`, `8515`, `8516`, `8517`, `8519`, `8521`, `8522`, `8523`, `8524`, `8525`, `8526`, `8527`, `8529`, `8530`, `8532`, `8535`, `8537`, `8538`, `8539`, `8541`, `8542`, `8543`, `8544`, `8549`, `8550`, `8551`, `8552`, `8553`, `8554`, `8555`, `8557`, `8558`, `8559`, `8562`, `8563`, `8564`, `8566`, `8569`, `8570`, `8571`, `8573`, `8575`, `8577`, `8578`, `8579`, `8580`, `8581`, `8584`, `8585`, `8586`, `8587`, `8589`, `8590`, `8592`, `8593`, `8594`, `8595`, `8597`, `8598`, `8600`, `8601`, `8602`, `8604`, `8605`, `8608`, `8610`, `8611`, `8612`, `8613`, `8614`, `8615`, `8616`, `8618`, `8619`, `8620`, `8621`, `8622`, `8625`, `8627`, `8629`, `8630`, `8632`, `8634`, `8636`, `8637`, `8638`, `8640`, `8642`, `8643`, `8644`, `8646`, `8647`, `8649`, `8650`, `8651`, `8653`, `8655`, `8656`, `8657`, `8658`, `8659`, `8660`, `8662`, `8664`, `8665`, `8666`, `8667`, `8669`, `8670`, `8671`, `8673`, `8674`, `8675`, `8676`, `8677`, `8678`, `8679`, `8680`, `8681`, `8683`, `8685`, `8687`, `8689`, `8691`, `8692`, `8693`, `8694`, `8696`, `8697`, `8698`, `8700`, `8701`, `8702`, `8703`, `8704`, `8705`, `8706`, `8707`, `8708`, `8709`, `8710`, `8712`, `8713`, `8715`, `8717`, `8719`, `8722`, `8723`, `8725`, `8726`, `8727`, `8729`, `8730`, `8732`, `8734`, `8736`, `8738`, `8739`, `8740`, `8741`, `8743`, `8744`, `8745`, `8747`, `8748`, `8752`, `8753`, `8754`, `8755`, `8756`, `8757`, `8758`, `8760`, `8761`, `8762`, `8763`, `8765`, `8766`, `8767`, `8768`, `8770`, `8771`, `8773`, `8774`, `8775`, `8776`, `8778`, `8779`, `8780`, `8781`, `8782`, `8785`, `8786`, `8787`, `8789`, `8790`, `8791`, `8793`, `8795`, `8798`, `8800`, `8801`, `8802`, `8804`, `8805`, `8807`, `8808`, `8809`, `8810`, `8813`, `8815`, `8816`, `8817`, `8819`, `8820`, `8821`, `8822`, `8823`, `401`, `8824`, `8826`, `8827`, `8829`, `8830`, `8831`, `8833`, `8835`, `8837`, `8839`, `8840`, `8841`, `8842`, `8844`, `8845`, `8847`, `8849`, `8851`, `8852`, `8853`, `8855`, `8857`, `8858`, `8859`, `8864`, `8865`, `8866`, `8867`, `8869`, `8870`, `8871`, `8874`, `8877`, `8879`, `8880`, `8881`, `8883`, `8884`, `8886`, `8887`, `8890`, `8891`, `8892`, `8893`, `8895`, `8897`, `8899`, `8900`, `8901`, `8903`, `8906`, `8907`, `8909`, `8911`, `8914`, `8916`, `8917`, `8919`, `8920`, `8921`, `8922`, `8923`, `8927`, `8928`, `8930`, `8931`, `8933`, `8934`, `8937`, `8939`, `8940`, `8941`, `8942`, `8944`, `8945`, `8947`, `8948`, `8949`, `8950`, `8951`, `8953`, `8954`, `8955`, `8958`, `8960`, `8962`, `8965`, `8966`, `8967`, `8968`, `8969`, `8970`, `8971`, `8972`, `8974`, `8976`, `8977`, `8978`, `8979`, `8980`, `8981`, `8982`, `8983`, `8984`, `8985`, `8987`, `8991`, `8992`, `8993`, `8994`, `8995`, `8996`, `8998`, `8999`, `9000`, `9002`, `9003`, `9004`, `9005`, `9007`, `9009`, `9010`, `9011`, `9014`, `9015`, `9016`, `9018`, `9019`, `9020`, `9022`, `9024`, `9025`, `9026`, `9028`, `9030`, `9031`, `9032`, `9034`, `9035`, `9037`, `9038`, `9039`, `9042`, `9043`, `9044`, `9046`, `9048`, `9050`, `9051`, `9053`, `9054`, `9055`, `9057`, `9058`, `8932`, `9059`, `9060`, `9061`, `9062`, `9064`, `9068`, `1932`, `9069`, `9070`, `9071`, `9072`, `9073`, `9074`, `9076`, `9079`, `9080`, `9083`, `9084`, `9087`, `9088`, `9090`, `9091`, `9093`, `9095`, `9096`, `9097`, `9098`, `9100`, `9103`, `9104`, `9105`, `9106`, `9107`, `9108`, `9109`, `9110`, `9111`, `9112`, `9113`, `9114`, `9116`, `9119`, `9120`, `9121`, `9122`, `9123`, `9124`, `9127`, `9128`, `9129`, `9130`, `9131`, `9132`, `9133`, `9134`, `9135`, `9136`, `9138`, `9139`, `9141`, `9142`, `9144`, `9145`, `9146`, `9148`, `9149`, `9150`, `9152`, `9153`, `9156`, `9158`, `9160`, `9162`, `9165`, `7986`, `9168`, `9170`, `9171`, `9172`, `9173`, `9175`, `9176`, `9177`, `9179`, `9180`, `9182`, `9183`, `9185`, `9188`, `9190`, `9191`, `9192`, `9194`, `9198`, `9200`, `9201`, `9202`, `9204`, `9206`, `9207`, `5871`, `9210`, `9211`, `9213`, `9214`, `9215`, `9217`, `9218`, `9220`, `9221`, `9222`, `9226`, `9228`, `9230`, `9231`, `9233`, `9234`, `9235`, `9238`, `9239`, `9241`, `9242`, `9244`, `9246`, `9249`, `9251`, `9252`, `9255`, `9256`, `9259`, `9260`, `9262`, `9263`, `9265`, `9269`, `9270`, `9273`, `9274`, `9277`, `3858`, `9279`, `9281`, `9282`, `9284`, `9287`, `7598`, `9289`, `9292`, `9294`, `9295`, `9296`, `9297`, `9298`, `9299`, `9301`, `9302`, `9304`, `9306`, `9308`, `9311`, `9312`, `9313`, `9314`, `9318`, `9320`, `9322`, `9325`, `9326`, `9327`, `9329`, `9331`, `9333`, `9334`, `9336`, `9338`, `9339`, `9340`, `9341`, `9342`, `9343`, `9344`, `9346`, `9347`, `9349`, `9350`, `9352`, `9353`, `9355`, `9358`, `9359`, `9360`, `9363`, `9365`, `9368`, `9369`, `9371`, `9373`, `9374`, `9375`, `9376`, `9377`, `9379`, `9382`, `9383`, `9384`, `9387`, `9388`, `9389`, `9390`, `9391`, `9392`, `9393`, `9395`, `9396`, `9398`, `9400`, `9401`, `9404`, `9406`, `9409`, `9410`, `9412`, `9414`, `9416`, `9417`, `9418`, `9420`, `9421`, `9424`, `9426`, `9428`, `9429`, `9431`, `9432`, `9433`, `9434`, `9435`, `9436`, `9438`, `9441`, `9443`, `9445`, `9446`, `9447`, `9448`, `9449`, `9450`, `9451`, `9453`, `9454`, `9455`, `9457`, `9458`, `9459`, `9460`, `9461`, `9462`, `9463`, `9464`, `9465`, `9467`, `9469`, `9471`, `9474`, `9476`, `9477`, `9478`, `9479`, `9480`, `973`, `9482`, `9483`, `9485`, `9486`, `9488`, `9489`, `9490`, `9492`, `9493`, `9495`, `9496`, `9498`, `9499`, `9501`, `9502`, `9504`, `9506`, `9507`, `9508`, `9511`, `9512`, `9514`, `9515`, `9518`, `9519`, `9521`, `9523`, `9524`, `9526`, `9528`, `9531`, `9533`, `9534`, `9535`, `9537`, `9539`, `9540`, `9541`, `9543`, `9545`, `9546`, `9548`, `9549`, `9550`, `9551`, `9554`, `9555`, `9556`, `9557`, `9559`, `9561`, `9562`, `9565`, `9567`, `9570`, `9571`, `9573`, `7877`, `9575`, `9578`, `9580`, `9582`, `9583`, `9586`, `9587`, `9588`, `9589`, `9591`, `9592`, `9593`, `9594`, `9595`, `9597`, `9599`, `9601`, `9603`, `9604`, `9605`, `9607`, `9610`, `5979`, `9611`, `9612`, `9613`, `9614`, `9616`, `9617`, `9618`, `9620`, `9621`, `9622`, `9624`, `9627`, `9629`, `9630`, `9632`, `9633`, `9636`, `9637`, `9638`, `9640`, `9641`, `9642`, `9644`, `9646`, `9647`, `9649`, `9650`, `9653`, `9656`, `9657`, `9658`, `9659`, `9660`, `9662`, `9663`, `9664`, `9665`, `9666`, `9667`, `9670`, `9673`, `9675`, `9677`, `9679`, `9681`, `9682`, `9683`, `9684`, `9686`, `9688`, `9689`, `9690`, `9692`, `9693`, `9695`, `9696`, `9697`, `9699`, `9701`, `9703`, `9705`, `9707`, `9710`, `9713`, `9714`, `9715`, `9717`, `9718`, `9721`, `9722`, `9724`, `9725`, `9726`, `9727`, `9729`, `9730`, `9731`, `9732`, `9733`, `9735`, `9737`, `9739`, `9740`, `9741`, `9744`, `9747`, `9748`, `9750`, `9751`, `9753`, `9754`, `9755`, `9756`, `9758`, `9759`, `9760`, `9761`, `9762`, `9764`, `9768`, `9770`, `9772`, `9774`, `9776`, `9777`, `9779`, `9780`, `9782`, `9783`, `9784`, `9787`, `9789`, `9790`, `9791`, `9793`, `9794`, `9795`, `9796`, `9797`, `9798`, `9799`, `9800`, `9803`, `9805`, `9807`, `9809`, `9810`, `9811`, `9813`, `9816`, `9817`, `9819`, `9820`, `9822`, `9823`, `9824`, `9825`, `9827`, `9828`, `9830`, `9831`, `9832`, `9834`, `9836`, `9837`, `9839`, `9840`, `9841`, `9842`, `9844`, `9845`, `9846`, `9847`, `9848`, `9850`, `9851`, `9853`, `9854`, `9855`, `9856`, `9857`, `2337`, `8520`, `9858`, `9861`, `9862`, `9757`, `9864`, `9865`, `9867`, `9868`, `9870`, `9871`, `9872`, `9873`, `9874`, `9877`, `9878`, `9879`, `9880`, `9882`, `9884`, `9885`, `9887`, `9889`, `9890`, `9892`, `9894`, `9895`, `9897`, `9899`, `9901`, `9903`, `9906`, `9907`, `9909`, `9911`, `9914`, `9916`, `9918`, `9919`, `9920`, `9922`, `9924`, `9927`, `9929`, `9930`, `9932`, `9935`, `9936`, `9938`, `9939`, `9940`, `9941`, `9942`, `9943`, `9944`, `9945`, `9946`, `9947`, `9948`, `9949`, `9950`, `9951`, `9952`, `9953`, `9955`, `9956`, `9957`, `9958`, `9960`, `9962`, `9963`, `9964`, `9965`, `9967`, `9968`, `9970`, `9971`, `9974`, `9977`, `9978`, `9980`, `9981`, `6878`, `9982`, `9984`, `9985`, `9987`, `9988`, `9989`, `9992`, `9993`, `9994`, `9995`, `9999`, `10001`, `10002`, `10003`, `10004`, `10006`, `10007`, `1912`, `10008`, `10011`, `10013`, `10014`, `10016`, `10017`, `10019`, `10020`, `10023`, `10025`, `10028`, `10029`, `10030`, `10033`, `10034`, `10036`, `10038`, `10039`, `10040`, `10041`, `10042`, `10044`, `10046`, `10048`, `10050`, `10051`, `10053`, `10055`, `10057`, `10058`, `10060`, `10061`, `10062`, `10063`, `10065`, `10066`, `10069`, `10070`, `10071`, `10073`, `10076`, `10078`, `10079`, `10081`, `10085`, `10086`, `10091`, `10092`, `10093`, `10094`, `10096`, `10098`, `10099`, `10100`, `10101`, `10104`, `10105`, `10106`, `10107`, `10110`, `10111`, `10112`, `10114`, `10115`, `10116`, `10118`, `10119`, `10120`, `10123`, `10124`, `10125`, `10127`, `10128`, `10129`, `10130`, `10131`, `10133`, `10134`, `10136`, `10138`, `10139`, `10142`, `10143`, `10146`, `10148`, `10149`, `10150`, `10152`, `10154`, `10156`, `10159`, `10161`, `10163`, `10164`, `10165`, `10167`, `10168`, `10169`, `10170`, `10171`, `10172`, `10175`, `10176`, `10177`, `10180`, `10183`, `10185`, `10186`, `10187`, `10189`, `10191`, `10193`, `10195`, `10196`, `10197`, `10198`, `10199`, `10200`, `10202`, `10203`, `10204`, `10207`, `10208`, `10210`, `10211`, `10213`, `10214`, `10215`, `10217`, `10218`, `10220`, `10222`, `10224`, `10225`, `10227`, `10228`, `10230`, `10232`, `10234`, `10235`, `10237`, `10238`, `10239`, `10241`, `10242`, `10243`, `10245`, `10248`, `10249`, `10251`, `10252`, `10253`, `10255`, `10258`, `10259`, `10260`, `10261`, `10262`, `10263`, `10265`, `10267`, `10268`, `10269`, `10270`, `10272`, `10273`, `10275`, `10276`, `10277`, `10278`, `10279`, `10280`, `10281`, `10284`, `10285`, `10287`, `10288`, `10291`, `10292`, `10294`, `10296`, `10297`, `10298`, `10300`, `10302`, `10303`, `10304`, `10306`, `10307`, `10308`, `10309`, `10312`, `10313`, `10314`, `10315`, `10316`, `10317`, `10318`, `10319`, `10320`, `10321`, `10323`, `10324`, `10327`, `10328`, `10329`, `10330`, `10332`, `10333`, `10335`, `10336`, `10337`, `10340`, `10341`, `10343`, `10344`, `10345`, `10346`, `10347`, `10348`, `10349`, `10350`, `10351`, `10352`, `10353`, `10354`, `10356`, `10357`, `10359`, `10360`, `10363`, `10365`, `10366`, `10368`, `10370`, `10371`, `10372`, `10373`, `10374`, `10375`, `10376`, `10377` |
</details>
### Accuracy
| Type | Score |
| --- | --- |
| `TOKEN_F` | 99.06 |
| `TOKEN_P` | 99.06 |
| `TOKEN_R` | 99.06 |
| `TOKEN_ACC` | 99.77 |
| `SENTS_F` | 97.00 |
| `SENTS_P` | 97.32 |
| `SENTS_R` | 96.67 |
| `TAG_ACC` | 93.85 |
| `POS_ACC` | 97.66 |
| `MORPH_ACC` | 93.64 |
| `DEP_UAS` | 92.56 |
| `DEP_LAS` | 87.49 |
| `LEMMA_ACC` | 93.99 | |
emre/wav2vec-tr-lite-AG | emre | 2021-12-10T22:46:25Z | 5 | 0 | transformers | [
"transformers",
"pytorch",
"jax",
"wav2vec2",
"automatic-speech-recognition",
"audio",
"speech",
"tr",
"dataset:common_voice",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | automatic-speech-recognition | 2022-03-02T23:29:05Z | ---
language: tr
datasets:
- common_voice
metrics:
- wer
tags:
- audio
- automatic-speech-recognition
- speech
license: apache-2.0
model-index:
- name: XLSR Wav2Vec2 Turkish by Davut Emre TASAR
results:
- task:
name: Speech Recognition
type: automatic-speech-recognition
dataset:
name: Common Voice tr
type: common_voice
args: tr
metrics:
- name: Test WER
type: wer
---
# wav2vec-tr-lite-AG
## Usage
The model can be used directly (without a language model) as follows:
```python
import torch
import torchaudio
from datasets import load_dataset
from transformers import Wav2Vec2ForCTC, Wav2Vec2Processor
test_dataset = load_dataset("common_voice", "tr", split="test[:2%]")
processor = Wav2Vec2Processor.from_pretrained("emre/wav2vec-tr-lite-AG")
model = Wav2Vec2ForCTC.from_pretrained("emre/wav2vec-tr-lite-AG")
resampler = torchaudio.transforms.Resample(48_000, 16_000)
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 0.00005
- train_batch_size: 2
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 2
- gradient_accumulation_steps: 8
- total_train_batch_size: 32
- total_eval_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 30.0
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 0.4388 | 3.7 | 400 | 1.366 | 0.9701 |
| 0.3766 | 7.4 | 800 | 0.4914 | 0.5374 |
| 0.2295 | 11.11 | 1200 | 0.3934 | 0.4125 |
| 0.1121 | 14.81 | 1600 | 0.3264 | 0.2904 |
| 0.1473 | 18.51 | 2000 | 0.3103 | 0.2671 |
| 0.1013 | 22.22 | 2400 | 0.2589 | 0.2324 |
| 0.0704 | 25.92 | 2800 | 0.2826 | 0.2339 |
| 0.0537 | 29.63 | 3200 | 0.2704 | 0.2309 |
### Framework versions
- Transformers 4.12.0.dev0
- Pytorch 1.8.1
- Datasets 1.14.1.dev0
- Tokenizers 0.10.3
|
explosion/pl_udv25_polishlfg_trf | explosion | 2021-12-10T22:19:07Z | 0 | 0 | spacy | [
"spacy",
"token-classification",
"pl",
"license:gpl-3.0",
"model-index",
"region:us"
] | token-classification | 2022-03-02T23:29:05Z | ---
tags:
- spacy
- token-classification
language:
- pl
license: gpl-3.0
model-index:
- name: pl_udv25_polishlfg_trf
results:
- task:
name: TAG
type: token-classification
metrics:
- name: TAG (XPOS) Accuracy
type: accuracy
value: 0.9561865506
- task:
name: POS
type: token-classification
metrics:
- name: POS (UPOS) Accuracy
type: accuracy
value: 0.9904587436
- task:
name: MORPH
type: token-classification
metrics:
- name: Morph (UFeats) Accuracy
type: accuracy
value: 0.9542019693
- task:
name: LEMMA
type: token-classification
metrics:
- name: Lemma Accuracy
type: accuracy
value: 0.9592490842
- task:
name: UNLABELED_DEPENDENCIES
type: token-classification
metrics:
- name: Unlabeled Attachment Score (UAS)
type: f_score
value: 0.9738866205
- task:
name: LABELED_DEPENDENCIES
type: token-classification
metrics:
- name: Labeled Attachment Score (LAS)
type: f_score
value: 0.9554648182
- task:
name: SENTS
type: token-classification
metrics:
- name: Sentences F-Score
type: f_score
value: 0.9988538682
---
UD v2.5 benchmarking pipeline for UD_Polish-LFG
| Feature | Description |
| --- | --- |
| **Name** | `pl_udv25_polishlfg_trf` |
| **Version** | `0.0.1` |
| **spaCy** | `>=3.2.1,<3.3.0` |
| **Default Pipeline** | `experimental_char_ner_tokenizer`, `transformer`, `tagger`, `morphologizer`, `parser`, `experimental_edit_tree_lemmatizer` |
| **Components** | `experimental_char_ner_tokenizer`, `transformer`, `senter`, `tagger`, `morphologizer`, `parser`, `experimental_edit_tree_lemmatizer` |
| **Vectors** | 0 keys, 0 unique vectors (0 dimensions) |
| **Sources** | [Universal Dependencies v2.5](https://lindat.mff.cuni.cz/repository/xmlui/handle/11234/1-3105) (Zeman, Daniel; et al.) |
| **License** | `GPL 3.0` |
| **Author** | [Explosion](https://explosion.ai) |
### Label Scheme
<details>
<summary>View label scheme (4947 labels for 6 components)</summary>
| Component | Labels |
| --- | --- |
| **`experimental_char_ner_tokenizer`** | `TOKEN` |
| **`senter`** | `I`, `S` |
| **`tagger`** | `adj:pl:acc:f:com`, `adj:pl:acc:f:pos`, `adj:pl:acc:f:sup`, `adj:pl:acc:m1:com`, `adj:pl:acc:m1:pos`, `adj:pl:acc:m1:sup`, `adj:pl:acc:m2:pos`, `adj:pl:acc:m3:com`, `adj:pl:acc:m3:pos`, `adj:pl:acc:m3:sup`, `adj:pl:acc:n:com`, `adj:pl:acc:n:pos`, `adj:pl:acc:n:sup`, `adj:pl:dat:f:pos`, `adj:pl:dat:m1:com`, `adj:pl:dat:m1:pos`, `adj:pl:dat:m3:pos`, `adj:pl:dat:n:pos`, `adj:pl:gen:f:com`, `adj:pl:gen:f:pos`, `adj:pl:gen:f:sup`, `adj:pl:gen:m1:com`, `adj:pl:gen:m1:pos`, `adj:pl:gen:m1:sup`, `adj:pl:gen:m2:pos`, `adj:pl:gen:m2:sup`, `adj:pl:gen:m3:com`, `adj:pl:gen:m3:pos`, `adj:pl:gen:m3:sup`, `adj:pl:gen:n:com`, `adj:pl:gen:n:pos`, `adj:pl:inst:f:pos`, `adj:pl:inst:m1:pos`, `adj:pl:inst:m2:pos`, `adj:pl:inst:m3:pos`, `adj:pl:inst:n:pos`, `adj:pl:loc:f:pos`, `adj:pl:loc:f:sup`, `adj:pl:loc:m1:com`, `adj:pl:loc:m1:pos`, `adj:pl:loc:m3:pos`, `adj:pl:loc:m3:sup`, `adj:pl:loc:n:com`, `adj:pl:loc:n:pos`, `adj:pl:nom:f:com`, `adj:pl:nom:f:pos`, `adj:pl:nom:f:sup`, `adj:pl:nom:m1:com`, `adj:pl:nom:m1:pos`, `adj:pl:nom:m1:sup`, `adj:pl:nom:m2:pos`, `adj:pl:nom:m2:sup`, `adj:pl:nom:m3:com`, `adj:pl:nom:m3:pos`, `adj:pl:nom:m3:sup`, `adj:pl:nom:n:com`, `adj:pl:nom:n:pos`, `adj:sg:acc:f:com`, `adj:sg:acc:f:pos`, `adj:sg:acc:f:sup`, `adj:sg:acc:m1:com`, `adj:sg:acc:m1:pos`, `adj:sg:acc:m1:sup`, `adj:sg:acc:m2:pos`, `adj:sg:acc:m3:com`, `adj:sg:acc:m3:pos`, `adj:sg:acc:m3:sup`, `adj:sg:acc:n:com`, `adj:sg:acc:n:pos`, `adj:sg:acc:n:sup`, `adj:sg:dat:f:pos`, `adj:sg:dat:m1:com`, `adj:sg:dat:m1:pos`, `adj:sg:dat:m2:pos`, `adj:sg:dat:m3:pos`, `adj:sg:dat:n:com`, `adj:sg:dat:n:pos`, `adj:sg:gen:f:com`, `adj:sg:gen:f:pos`, `adj:sg:gen:f:sup`, `adj:sg:gen:m1:pos`, `adj:sg:gen:m2:pos`, `adj:sg:gen:m3:com`, `adj:sg:gen:m3:pos`, `adj:sg:gen:m3:sup`, `adj:sg:gen:n:com`, `adj:sg:gen:n:pos`, `adj:sg:inst:f:com`, `adj:sg:inst:f:pos`, `adj:sg:inst:f:sup`, `adj:sg:inst:m1:com`, `adj:sg:inst:m1:pos`, `adj:sg:inst:m1:sup`, `adj:sg:inst:m2:pos`, `adj:sg:inst:m2:sup`, `adj:sg:inst:m3:com`, `adj:sg:inst:m3:pos`, `adj:sg:inst:m3:sup`, `adj:sg:inst:n:com`, `adj:sg:inst:n:pos`, `adj:sg:loc:f:com`, `adj:sg:loc:f:pos`, `adj:sg:loc:f:sup`, `adj:sg:loc:m1:pos`, `adj:sg:loc:m2:pos`, `adj:sg:loc:m3:com`, `adj:sg:loc:m3:pos`, `adj:sg:loc:m3:sup`, `adj:sg:loc:n:com`, `adj:sg:loc:n:pos`, `adj:sg:loc:n:sup`, `adj:sg:nom:f:com`, `adj:sg:nom:f:pos`, `adj:sg:nom:f:sup`, `adj:sg:nom:m1:com`, `adj:sg:nom:m1:pos`, `adj:sg:nom:m1:sup`, `adj:sg:nom:m2:com`, `adj:sg:nom:m2:pos`, `adj:sg:nom:m3:com`, `adj:sg:nom:m3:pos`, `adj:sg:nom:m3:sup`, `adj:sg:nom:n:com`, `adj:sg:nom:n:pos`, `adj:sg:nom:n:sup`, `adj:sg:voc:f:sup`, `adj:sg:voc:m1:pos`, `adj:sg:voc:m3:pos`, `adja`, `adjc`, `adjp`, `adv`, `adv:com`, `adv:pos`, `adv:sup`, `aglt:pl:pri:imperf:nwok`, `aglt:pl:sec:imperf:nwok`, `aglt:sg:pri:imperf:nwok`, `aglt:sg:pri:imperf:wok`, `aglt:sg:sec:imperf:nwok`, `aglt:sg:sec:imperf:wok`, `bedzie:pl:pri:imperf`, `bedzie:pl:sec:imperf`, `bedzie:pl:ter:imperf`, `bedzie:sg:pri:imperf`, `bedzie:sg:sec:imperf`, `bedzie:sg:ter:imperf`, `comp`, `conj`, `depr:pl:nom:m2`, `depr:pl:voc:m2`, `fin:pl:pri:imperf`, `fin:pl:pri:perf`, `fin:pl:sec:imperf`, `fin:pl:sec:perf`, `fin:pl:ter:imperf`, `fin:pl:ter:perf`, `fin:sg:pri:imperf`, `fin:sg:pri:perf`, `fin:sg:sec:imperf`, `fin:sg:sec:perf`, `fin:sg:ter:imperf`, `fin:sg:ter:perf`, `ger:sg:acc:n:imperf:aff`, `ger:sg:acc:n:imperf:neg`, `ger:sg:acc:n:perf:aff`, `ger:sg:dat:n:imperf:aff`, `ger:sg:dat:n:perf:aff`, `ger:sg:gen:n:imperf:aff`, `ger:sg:gen:n:perf:aff`, `ger:sg:inst:n:imperf:aff`, `ger:sg:inst:n:perf:aff`, `ger:sg:loc:n:imperf:aff`, `ger:sg:loc:n:perf:aff`, `ger:sg:nom:n:imperf:aff`, `ger:sg:nom:n:perf:aff`, `imps:imperf`, `imps:perf`, `impt:pl:pri:imperf`, `impt:pl:pri:perf`, `impt:pl:sec:imperf`, `impt:pl:sec:perf`, `impt:sg:sec:imperf`, `impt:sg:sec:perf`, `inf:imperf`, `inf:perf`, `interj`, `interp`, `num:pl:acc:f:congr`, `num:pl:acc:f:rec`, `num:pl:acc:m1:rec`, `num:pl:acc:m2:congr`, `num:pl:acc:m2:rec`, `num:pl:acc:m3:congr`, `num:pl:acc:m3:rec`, `num:pl:acc:n:congr`, `num:pl:acc:n:rec`, `num:pl:dat:f:congr`, `num:pl:dat:m1:congr`, `num:pl:dat:n:congr`, `num:pl:gen:f:congr`, `num:pl:gen:m1:congr`, `num:pl:gen:m2:congr`, `num:pl:gen:m3:congr`, `num:pl:gen:m3:rec`, `num:pl:gen:n:congr`, `num:pl:inst:f:congr`, `num:pl:inst:m1:congr`, `num:pl:inst:m2:congr`, `num:pl:inst:m3:congr`, `num:pl:inst:n:congr`, `num:pl:loc:f:congr`, `num:pl:loc:m1:congr`, `num:pl:loc:m3:congr`, `num:pl:loc:n:congr`, `num:pl:nom:f:congr`, `num:pl:nom:m1:congr`, `num:pl:nom:m2:congr`, `num:pl:nom:m3:congr`, `num:pl:nom:n:congr`, `pact:pl:acc:f:imperf:aff`, `pact:pl:acc:m1:imperf:aff`, `pact:pl:acc:m2:imperf:aff`, `pact:pl:acc:m3:imperf:aff`, `pact:pl:acc:n:imperf:aff`, `pact:pl:dat:m1:imperf:aff`, `pact:pl:gen:f:imperf:aff`, `pact:pl:gen:m1:imperf:aff`, `pact:pl:gen:m1:imperf:neg`, `pact:pl:gen:m2:imperf:aff`, `pact:pl:gen:m3:imperf:aff`, `pact:pl:gen:n:imperf:aff`, `pact:pl:inst:m1:imperf:aff`, `pact:pl:inst:n:imperf:aff`, `pact:pl:loc:f:imperf:aff`, `pact:pl:loc:m3:imperf:aff`, `pact:pl:nom:f:imperf:aff`, `pact:pl:nom:m1:imperf:aff`, `pact:pl:nom:m2:imperf:aff`, `pact:pl:nom:m3:imperf:aff`, `pact:pl:nom:n:imperf:aff`, `pact:sg:acc:f:imperf:aff`, `pact:sg:acc:m1:imperf:aff`, `pact:sg:acc:m2:imperf:aff`, `pact:sg:acc:m3:imperf:aff`, `pact:sg:acc:n:imperf:aff`, `pact:sg:dat:f:imperf:aff`, `pact:sg:dat:m1:imperf:aff`, `pact:sg:gen:f:imperf:aff`, `pact:sg:gen:m1:imperf:aff`, `pact:sg:gen:m3:imperf:aff`, `pact:sg:gen:n:imperf:aff`, `pact:sg:inst:f:imperf:aff`, `pact:sg:inst:f:imperf:neg`, `pact:sg:inst:m1:imperf:aff`, `pact:sg:inst:m3:imperf:aff`, `pact:sg:inst:n:imperf:aff`, `pact:sg:loc:f:imperf:aff`, `pact:sg:loc:m1:imperf:aff`, `pact:sg:loc:m2:imperf:aff`, `pact:sg:loc:m3:imperf:aff`, `pact:sg:loc:n:imperf:aff`, `pact:sg:nom:f:imperf:aff`, `pact:sg:nom:m1:imperf:aff`, `pact:sg:nom:m2:imperf:aff`, `pact:sg:nom:m3:imperf:aff`, `pact:sg:nom:n:imperf:aff`, `pant:perf`, `pcon:imperf`, `ppas:pl:acc:f:imperf:aff`, `ppas:pl:acc:f:perf:aff`, `ppas:pl:acc:m1:perf:aff`, `ppas:pl:acc:m2:perf:aff`, `ppas:pl:acc:m3:imperf:aff`, `ppas:pl:acc:m3:perf:aff`, `ppas:pl:acc:m3:perf:neg`, `ppas:pl:acc:n:perf:aff`, `ppas:pl:dat:f:imperf:aff`, `ppas:pl:dat:f:perf:aff`, `ppas:pl:dat:m1:perf:aff`, `ppas:pl:dat:m3:perf:aff`, `ppas:pl:gen:f:imperf:aff`, `ppas:pl:gen:f:imperf:neg`, `ppas:pl:gen:f:perf:aff`, `ppas:pl:gen:m1:imperf:aff`, `ppas:pl:gen:m1:perf:aff`, `ppas:pl:gen:m2:perf:aff`, `ppas:pl:gen:m3:imperf:aff`, `ppas:pl:gen:m3:perf:aff`, `ppas:pl:gen:n:imperf:aff`, `ppas:pl:gen:n:perf:aff`, `ppas:pl:inst:f:perf:aff`, `ppas:pl:inst:m1:perf:aff`, `ppas:pl:inst:m3:perf:aff`, `ppas:pl:inst:n:perf:aff`, `ppas:pl:loc:f:imperf:neg`, `ppas:pl:loc:f:perf:aff`, `ppas:pl:loc:m1:imperf:aff`, `ppas:pl:loc:m3:imperf:aff`, `ppas:pl:loc:m3:perf:aff`, `ppas:pl:loc:n:imperf:aff`, `ppas:pl:loc:n:perf:aff`, `ppas:pl:nom:f:imperf:aff`, `ppas:pl:nom:f:imperf:neg`, `ppas:pl:nom:f:perf:aff`, `ppas:pl:nom:m1:imperf:aff`, `ppas:pl:nom:m1:perf:aff`, `ppas:pl:nom:m2:perf:aff`, `ppas:pl:nom:m3:imperf:aff`, `ppas:pl:nom:m3:perf:aff`, `ppas:pl:nom:n:imperf:aff`, `ppas:pl:nom:n:perf:aff`, `ppas:sg:acc:f:imperf:aff`, `ppas:sg:acc:f:perf:aff`, `ppas:sg:acc:m1:perf:aff`, `ppas:sg:acc:m2:perf:aff`, `ppas:sg:acc:m3:perf:aff`, `ppas:sg:acc:n:perf:aff`, `ppas:sg:dat:f:perf:aff`, `ppas:sg:dat:m1:perf:aff`, `ppas:sg:gen:f:imperf:aff`, `ppas:sg:gen:f:perf:aff`, `ppas:sg:gen:f:perf:neg`, `ppas:sg:gen:m1:imperf:aff`, `ppas:sg:gen:m1:perf:aff`, `ppas:sg:gen:m2:perf:aff`, `ppas:sg:gen:m3:imperf:aff`, `ppas:sg:gen:m3:perf:aff`, `ppas:sg:gen:n:imperf:aff`, `ppas:sg:gen:n:perf:aff`, `ppas:sg:inst:f:imperf:neg`, `ppas:sg:inst:f:perf:aff`, `ppas:sg:inst:m1:imperf:aff`, `ppas:sg:inst:m1:perf:aff`, `ppas:sg:inst:m3:perf:aff`, `ppas:sg:inst:n:perf:aff`, `ppas:sg:inst:n:perf:neg`, `ppas:sg:loc:f:imperf:aff`, `ppas:sg:loc:f:perf:aff`, `ppas:sg:loc:m3:imperf:aff`, `ppas:sg:loc:m3:perf:aff`, `ppas:sg:loc:n:imperf:aff`, `ppas:sg:loc:n:perf:aff`, `ppas:sg:nom:f:imperf:aff`, `ppas:sg:nom:f:imperf:neg`, `ppas:sg:nom:f:perf:aff`, `ppas:sg:nom:f:perf:neg`, `ppas:sg:nom:m1:imperf:aff`, `ppas:sg:nom:m1:perf:aff`, `ppas:sg:nom:m2:imperf:aff`, `ppas:sg:nom:m2:perf:aff`, `ppas:sg:nom:m3:imperf:aff`, `ppas:sg:nom:m3:perf:aff`, `ppas:sg:nom:m3:perf:neg`, `ppas:sg:nom:n:imperf:aff`, `ppas:sg:nom:n:perf:aff`, `ppron12:pl:acc:f:pri`, `ppron12:pl:acc:m1:pri`, `ppron12:pl:acc:m1:sec`, `ppron12:pl:acc:n:sec`, `ppron12:pl:dat:f:pri`, `ppron12:pl:dat:f:sec`, `ppron12:pl:dat:m1:pri`, `ppron12:pl:dat:m1:sec`, `ppron12:pl:gen:f:pri`, `ppron12:pl:gen:m1:pri`, `ppron12:pl:gen:m1:sec`, `ppron12:pl:inst:m1:pri`, `ppron12:pl:inst:m1:sec`, `ppron12:pl:loc:m1:pri`, `ppron12:pl:loc:m1:sec`, `ppron12:pl:nom:f:pri`, `ppron12:pl:nom:m1:pri`, `ppron12:pl:nom:m1:sec`, `ppron12:sg:acc:f:pri:akc`, `ppron12:sg:acc:f:sec:akc`, `ppron12:sg:acc:f:sec:nakc`, `ppron12:sg:acc:m1:pri:akc`, `ppron12:sg:acc:m1:pri:nakc`, `ppron12:sg:acc:m1:sec:akc`, `ppron12:sg:acc:m1:sec:nakc`, `ppron12:sg:acc:m2:pri:akc`, `ppron12:sg:acc:m2:sec:nakc`, `ppron12:sg:acc:m3:pri:akc`, `ppron12:sg:dat:f:pri:akc`, `ppron12:sg:dat:f:pri:nakc`, `ppron12:sg:dat:f:sec:akc`, `ppron12:sg:dat:f:sec:nakc`, `ppron12:sg:dat:m1:pri:akc`, `ppron12:sg:dat:m1:pri:nakc`, `ppron12:sg:dat:m1:sec:akc`, `ppron12:sg:dat:m1:sec:nakc`, `ppron12:sg:dat:m2:sec:nakc`, `ppron12:sg:dat:n:pri:nakc`, `ppron12:sg:gen:f:pri:akc`, `ppron12:sg:gen:f:sec:akc`, `ppron12:sg:gen:f:sec:nakc`, `ppron12:sg:gen:m1:pri:akc`, `ppron12:sg:gen:m1:sec:akc`, `ppron12:sg:gen:m1:sec:nakc`, `ppron12:sg:gen:m2:sec:akc`, `ppron12:sg:inst:f:pri`, `ppron12:sg:inst:f:sec`, `ppron12:sg:inst:m1:pri`, `ppron12:sg:inst:m1:sec`, `ppron12:sg:loc:f:pri`, `ppron12:sg:loc:f:sec`, `ppron12:sg:loc:m1:pri`, `ppron12:sg:loc:m1:sec`, `ppron12:sg:nom:f:pri`, `ppron12:sg:nom:f:sec`, `ppron12:sg:nom:m1:pri`, `ppron12:sg:nom:m1:sec`, `ppron12:sg:nom:m2:sec`, `ppron3:pl:acc:f:ter:akc:npraep`, `ppron3:pl:acc:f:ter:akc:praep`, `ppron3:pl:acc:m1:ter:akc:npraep`, `ppron3:pl:acc:m1:ter:akc:praep`, `ppron3:pl:acc:m2:ter:akc:npraep`, `ppron3:pl:acc:m3:ter:akc:npraep`, `ppron3:pl:acc:n:ter:akc:npraep`, `ppron3:pl:acc:n:ter:akc:praep`, `ppron3:pl:dat:f:ter:akc:npraep`, `ppron3:pl:dat:f:ter:akc:praep`, `ppron3:pl:dat:m1:ter:akc:npraep`, `ppron3:pl:dat:m3:ter:akc:praep`, `ppron3:pl:dat:n:ter:akc:npraep`, `ppron3:pl:gen:f:ter:akc:npraep`, `ppron3:pl:gen:f:ter:akc:praep`, `ppron3:pl:gen:m1:ter:akc:npraep`, `ppron3:pl:gen:m1:ter:akc:praep`, `ppron3:pl:gen:m2:ter:akc:npraep`, `ppron3:pl:gen:m3:ter:akc:npraep`, `ppron3:pl:gen:m3:ter:akc:praep`, `ppron3:pl:gen:n:ter:akc:npraep`, `ppron3:pl:gen:n:ter:akc:praep`, `ppron3:pl:inst:f:ter:akc:npraep`, `ppron3:pl:inst:f:ter:akc:praep`, `ppron3:pl:inst:m1:ter:akc:praep`, `ppron3:pl:inst:m2:ter:akc:praep`, `ppron3:pl:inst:n:ter:akc:praep`, `ppron3:pl:loc:f:ter:akc:praep`, `ppron3:pl:loc:m1:ter:akc:praep`, `ppron3:pl:loc:m3:ter:akc:praep`, `ppron3:pl:loc:n:ter:akc:praep`, `ppron3:pl:nom:f:ter:akc:npraep`, `ppron3:pl:nom:m1:ter:akc:npraep`, `ppron3:pl:nom:m3:ter:akc:npraep`, `ppron3:pl:nom:n:ter:akc:npraep`, `ppron3:sg:acc:f:ter:akc:npraep`, `ppron3:sg:acc:f:ter:akc:praep`, `ppron3:sg:acc:m1:ter:akc:npraep`, `ppron3:sg:acc:m1:ter:akc:praep`, `ppron3:sg:acc:m1:ter:nakc:npraep`, `ppron3:sg:acc:m1:ter:nakc:praep`, `ppron3:sg:acc:m2:ter:akc:praep`, `ppron3:sg:acc:m2:ter:nakc:npraep`, `ppron3:sg:acc:m3:ter:akc:praep`, `ppron3:sg:acc:m3:ter:nakc:npraep`, `ppron3:sg:acc:m3:ter:nakc:praep`, `ppron3:sg:acc:n:ter:akc:npraep`, `ppron3:sg:acc:n:ter:akc:praep`, `ppron3:sg:dat:f:ter:akc:npraep`, `ppron3:sg:dat:f:ter:akc:praep`, `ppron3:sg:dat:m1:ter:akc:npraep`, `ppron3:sg:dat:m1:ter:akc:praep`, `ppron3:sg:dat:m1:ter:nakc:npraep`, `ppron3:sg:dat:m2:ter:nakc:npraep`, `ppron3:sg:dat:m3:ter:nakc:npraep`, `ppron3:sg:dat:n:ter:nakc:npraep`, `ppron3:sg:gen:f:ter:akc:npraep`, `ppron3:sg:gen:f:ter:akc:praep`, `ppron3:sg:gen:m1:ter:akc:npraep`, `ppron3:sg:gen:m1:ter:akc:praep`, `ppron3:sg:gen:m1:ter:nakc:npraep`, `ppron3:sg:gen:m2:ter:akc:npraep`, `ppron3:sg:gen:m3:ter:akc:npraep`, `ppron3:sg:gen:m3:ter:akc:praep`, `ppron3:sg:gen:m3:ter:nakc:npraep`, `ppron3:sg:gen:n:ter:akc:npraep`, `ppron3:sg:gen:n:ter:akc:praep`, `ppron3:sg:gen:n:ter:nakc:npraep`, `ppron3:sg:inst:f:ter:akc:npraep`, `ppron3:sg:inst:f:ter:akc:praep`, `ppron3:sg:inst:m1:ter:akc:npraep`, `ppron3:sg:inst:m1:ter:akc:praep`, `ppron3:sg:inst:m2:ter:akc:npraep`, `ppron3:sg:inst:m2:ter:akc:praep`, `ppron3:sg:inst:m3:ter:akc:npraep`, `ppron3:sg:inst:m3:ter:akc:praep`, `ppron3:sg:inst:n:ter:akc:npraep`, `ppron3:sg:inst:n:ter:akc:praep`, `ppron3:sg:loc:f:ter:akc:praep`, `ppron3:sg:loc:m1:ter:akc:praep`, `ppron3:sg:loc:m2:ter:akc:praep`, `ppron3:sg:loc:m3:ter:akc:praep`, `ppron3:sg:loc:n:ter:akc:praep`, `ppron3:sg:nom:f:ter:akc:npraep`, `ppron3:sg:nom:m1:ter:akc:npraep`, `ppron3:sg:nom:m2:ter:akc:npraep`, `ppron3:sg:nom:m3:ter:akc:npraep`, `ppron3:sg:nom:n:ter:akc:npraep`, `praet:pl:f:imperf`, `praet:pl:f:perf`, `praet:pl:m1:imperf`, `praet:pl:m1:perf`, `praet:pl:m2:imperf`, `praet:pl:m2:perf`, `praet:pl:m3:imperf`, `praet:pl:m3:perf`, `praet:pl:n:imperf`, `praet:pl:n:perf`, `praet:sg:f:imperf`, `praet:sg:f:perf`, `praet:sg:m1:imperf`, `praet:sg:m1:imperf:agl`, `praet:sg:m1:imperf:nagl`, `praet:sg:m1:perf`, `praet:sg:m1:perf:agl`, `praet:sg:m1:perf:nagl`, `praet:sg:m2:imperf`, `praet:sg:m2:imperf:nagl`, `praet:sg:m2:perf`, `praet:sg:m2:perf:nagl`, `praet:sg:m3:imperf`, `praet:sg:m3:imperf:nagl`, `praet:sg:m3:perf`, `praet:sg:m3:perf:nagl`, `praet:sg:n:imperf`, `praet:sg:n:perf`, `pred`, `prep:acc`, `prep:acc:nwok`, `prep:acc:wok`, `prep:dat`, `prep:gen`, `prep:gen:nwok`, `prep:gen:wok`, `prep:inst`, `prep:inst:nwok`, `prep:inst:wok`, `prep:loc`, `prep:loc:nwok`, `prep:loc:wok`, `prep:nom`, `qub`, `qub:nwok`, `qub:wok`, `siebie:acc`, `siebie:dat`, `siebie:gen`, `siebie:inst`, `siebie:loc`, `subst:pl:acc:f`, `subst:pl:acc:m1`, `subst:pl:acc:m2`, `subst:pl:acc:m3`, `subst:pl:acc:n`, `subst:pl:dat:f`, `subst:pl:dat:m1`, `subst:pl:dat:m3`, `subst:pl:dat:n`, `subst:pl:gen:f`, `subst:pl:gen:m1`, `subst:pl:gen:m2`, `subst:pl:gen:m3`, `subst:pl:gen:n`, `subst:pl:inst:f`, `subst:pl:inst:m1`, `subst:pl:inst:m2`, `subst:pl:inst:m3`, `subst:pl:inst:n`, `subst:pl:loc:f`, `subst:pl:loc:m1`, `subst:pl:loc:m2`, `subst:pl:loc:m3`, `subst:pl:loc:n`, `subst:pl:nom:f`, `subst:pl:nom:m1`, `subst:pl:nom:m2`, `subst:pl:nom:m3`, `subst:pl:nom:n`, `subst:pl:voc:m1`, `subst:sg:acc:f`, `subst:sg:acc:m1`, `subst:sg:acc:m2`, `subst:sg:acc:m3`, `subst:sg:acc:n`, `subst:sg:dat:f`, `subst:sg:dat:m1`, `subst:sg:dat:m2`, `subst:sg:dat:m3`, `subst:sg:dat:n`, `subst:sg:gen:f`, `subst:sg:gen:m1`, `subst:sg:gen:m2`, `subst:sg:gen:m3`, `subst:sg:gen:n`, `subst:sg:inst:f`, `subst:sg:inst:m1`, `subst:sg:inst:m2`, `subst:sg:inst:m3`, `subst:sg:inst:n`, `subst:sg:loc:f`, `subst:sg:loc:m1`, `subst:sg:loc:m2`, `subst:sg:loc:m3`, `subst:sg:loc:n`, `subst:sg:nom:f`, `subst:sg:nom:m1`, `subst:sg:nom:m2`, `subst:sg:nom:m3`, `subst:sg:nom:n`, `subst:sg:voc:f`, `subst:sg:voc:m1`, `subst:sg:voc:m3`, `winien:pl:f:imperf`, `winien:pl:m1:imperf`, `winien:pl:m3:imperf`, `winien:sg:f:imperf`, `winien:sg:m1:imperf`, `winien:sg:m3:imperf`, `winien:sg:n:imperf` |
| **`morphologizer`** | `Case=Ins\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=ADJ\|SubGender=Masc3`, `Case=Ins\|Gender=Masc\|Number=Sing\|POS=PROPN\|SubGender=Masc3`, `Aspect=Imp\|Mood=Ind\|Number=Sing\|POS=VERB\|Person=3\|Tense=Pres\|VerbForm=Fin\|Voice=Act`, `Case=Nom\|Gender=Fem\|Number=Sing\|POS=NOUN`, `POS=PUNCT\|PunctType=Peri`, `Case=Acc\|Gender=Masc\|NumType=Card\|Number=Plur\|POS=NUM\|SubGender=Masc3`, `Case=Acc\|Gender=Masc\|Number=Plur\|POS=NOUN\|SubGender=Masc3`, `Aspect=Imp\|Gender=Fem\|Mood=Ind\|Number=Sing\|POS=VERB\|Tense=Past\|VerbForm=Fin\|Voice=Act`, `POS=ADV`, `Case=Nom\|Gender=Fem\|Number=Sing\|POS=PROPN`, `POS=PUNCT\|PunctType=Comm`, `Case=Nom\|Degree=Pos\|Gender=Fem\|Number=Sing\|POS=ADJ`, `Case=Gen\|Gender=Neut\|Number=Plur\|POS=PROPN`, `Case=Nom\|Gender=Masc\|Number=Sing\|POS=NOUN\|SubGender=Masc1`, `Agglutination=Nagl\|Aspect=Perf\|Gender=Masc\|Mood=Ind\|Number=Sing\|POS=VERB\|SubGender=Masc1\|Tense=Past\|VerbForm=Fin\|Voice=Act`, `AdpType=Prep\|POS=ADP`, `Case=Gen\|Gender=Fem\|Number=Sing\|POS=NOUN`, `AdpType=Prep\|POS=ADP\|Variant=Short`, `Case=Loc\|Gender=Neut\|Number=Plur\|POS=PROPN`, `Case=Acc\|Gender=Masc\|Number=Sing\|POS=NOUN\|SubGender=Masc3`, `Case=Gen\|Gender=Masc\|Number=Sing\|POS=PROPN\|SubGender=Masc3`, `Aspect=Perf\|Gender=Fem\|Mood=Ind\|Number=Sing\|POS=VERB\|Tense=Past\|VerbForm=Fin\|Voice=Act`, `Case=Acc\|Gender=Masc\|Number=Plur\|POS=NOUN\|SubGender=Masc1`, `POS=SCONJ`, `Aspect=Perf\|Gender=Masc\|Mood=Ind\|Number=Plur\|POS=VERB\|SubGender=Masc1\|Tense=Past\|VerbForm=Fin\|Voice=Act`, `Case=Dat\|Gender=Fem\|Number=Sing\|POS=PRON\|Person=3\|PrepCase=Npr\|PronType=Prs\|Variant=Long`, `Aspect=Perf\|POS=VERB\|VerbForm=Inf\|Voice=Act`, `Case=Acc\|Gender=Fem\|NumType=Card\|Number=Plur\|POS=NUM`, `Case=Gen\|Gender=Fem\|Number=Plur\|POS=NOUN`, `Aspect=Perf\|Mood=Ind\|POS=VERB\|Person=0\|Tense=Past\|VerbForm=Fin\|Voice=Act`, `Case=Loc\|Gender=Fem\|Number=Sing\|POS=NOUN`, `Case=Gen\|Gender=Masc\|Number=Sing\|POS=NOUN\|SubGender=Masc3`, `Case=Gen\|Gender=Masc\|Number=Sing\|POS=PROPN\|SubGender=Masc1`, `Case=Nom\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=ADJ\|SubGender=Masc1`, `Case=Gen\|Degree=Pos\|Gender=Fem\|Number=Sing\|POS=ADJ`, `Case=Gen\|Degree=Pos\|Gender=Fem\|Number=Plur\|POS=ADJ`, `Aspect=Perf\|Gender=Masc\|Mood=Ind\|Number=Sing\|POS=VERB\|SubGender=Masc1\|Tense=Past\|VerbForm=Fin\|Voice=Act`, `POS=PRON\|PronType=Prs\|Reflex=Yes`, `Case=Acc\|Gender=Fem\|Number=Sing\|POS=NOUN`, `Case=Acc\|Gender=Neut\|NumType=Card\|Number=Plur\|POS=NUM`, `Case=Gen\|Gender=Neut\|Number=Plur\|POS=PRON\|Person=3\|PrepCase=Pre\|PronType=Prs\|Variant=Long`, `Aspect=Imp\|Case=Gen\|Gender=Neut\|Number=Plur\|POS=ADJ\|Polarity=Pos\|VerbForm=Part\|Voice=Pass`, `Aspect=Imp\|Mood=Ind\|Number=Sing\|POS=AUX\|Person=3\|Tense=Pres\|VerbForm=Fin\|Voice=Act`, `Case=Nom\|Gender=Masc\|Number=Plur\|POS=NOUN\|SubGender=Masc3`, `Case=Acc\|Gender=Neut\|Number=Sing\|POS=NOUN`, `Case=Loc\|Gender=Neut\|Number=Sing\|POS=NOUN`, `Case=Gen\|Gender=Neut\|Number=Sing\|POS=PROPN`, `Aspect=Imp\|Gender=Masc\|Mood=Ind\|Number=Sing\|POS=VERB\|SubGender=Masc1\|Tense=Past\|VerbForm=Fin\|Voice=Act`, `Case=Ins\|Gender=Masc\|Number=Sing\|POS=NOUN\|SubGender=Masc3`, `Case=Ins\|Gender=Fem\|Number=Sing\|POS=NOUN`, `Case=Gen\|Gender=Masc\|Number=Plur\|POS=NOUN\|SubGender=Masc3`, `AdpType=Post\|POS=ADP`, `Case=Loc\|Degree=Pos\|Gender=Fem\|Number=Plur\|POS=ADJ`, `Case=Loc\|Gender=Fem\|Number=Plur\|POS=NOUN`, `Case=Nom\|Gender=Masc\|Number=Sing\|POS=PROPN\|SubGender=Masc1`, `Case=Ins\|Gender=Masc\|Number=Sing\|POS=NOUN\|SubGender=Masc1`, `Case=Nom\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=ADJ\|SubGender=Masc3`, `POS=PUNCT`, `Aspect=Imp\|Mood=Imp\|Number=Sing\|POS=VERB\|Person=2\|VerbForm=Fin\|Voice=Act`, `Aspect=Imp\|Case=Gen\|Gender=Fem\|Number=Plur\|POS=ADJ\|Polarity=Pos\|VerbForm=Part\|Voice=Act`, `Case=Gen\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=3\|PrepCase=Pre\|PronType=Prs\|SubGender=Masc3\|Variant=Long`, `Aspect=Imp\|Mood=Ind\|Number=Plur\|POS=VERB\|Person=3\|Tense=Pres\|VerbForm=Fin\|Voice=Act`, `POS=PUNCT\|PunctType=Dash`, `Case=Loc\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=ADJ\|SubGender=Masc3`, `Case=Loc\|Gender=Masc\|Number=Sing\|POS=NOUN\|SubGender=Masc3`, `Aspect=Imp\|Mood=Ind\|Number=Plur\|POS=VERB\|Person=1\|Tense=Pres\|VerbForm=Fin\|Voice=Act`, `POS=PUNCT\|PunctType=Excl`, `Case=Nom\|Degree=Cmp\|Gender=Masc\|Number=Sing\|POS=ADJ\|SubGender=Masc1`, `Case=Gen\|Degree=Pos\|Gender=Masc\|Number=Plur\|POS=ADJ\|SubGender=Masc3`, `Case=Gen\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=ADJ\|SubGender=Masc3`, `Aspect=Perf\|Gender=Neut\|Mood=Ind\|Number=Sing\|POS=VERB\|Tense=Past\|VerbForm=Fin\|Voice=Act`, `Case=Gen\|Gender=Masc\|Number=Plur\|POS=DET\|Poss=Yes\|PronType=Prs\|Reflex=Yes\|SubGender=Masc3`, `Case=Loc\|Gender=Fem\|Number=Sing\|POS=PROPN`, `Case=Gen\|Gender=Neut\|Number=Sing\|POS=NOUN`, `Case=Gen\|Degree=Pos\|Gender=Neut\|Number=Sing\|POS=ADJ`, `Case=Gen\|Gender=Fem\|Number=Sing\|POS=PRON\|Person=3\|PrepCase=Npr\|PronType=Prs\|Variant=Long`, `POS=CCONJ`, `Aspect=Imp\|Number=Sing\|POS=AUX\|Person=2\|Variant=Short`, `Degree=Pos\|POS=ADV`, `POS=PUNCT\|PunctType=Qest`, `Mood=Cnd\|POS=AUX`, `Case=Acc\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=1\|PronType=Prs\|SubGender=Masc1\|Variant=Long`, `Aspect=Imp\|POS=VERB\|VerbForm=Inf\|Voice=Act`, `Case=Acc\|Degree=Pos\|Gender=Fem\|Number=Plur\|POS=ADJ`, `Case=Acc\|Gender=Fem\|Number=Plur\|POS=NOUN`, `Case=Nom\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Dem\|SubGender=Masc1`, `Case=Nom\|Degree=Pos\|Gender=Masc\|Number=Plur\|POS=ADJ\|SubGender=Masc1`, `Case=Nom\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Dem\|SubGender=Masc3`, `Case=Nom\|Gender=Masc\|Number=Sing\|POS=NOUN\|SubGender=Masc3`, `Mood=Ind\|POS=AUX\|Tense=Pres\|VerbForm=Fin\|VerbType=Quasi`, `Case=Nom\|Degree=Cmp\|Gender=Neut\|Number=Sing\|POS=ADJ`, `Case=Nom\|Gender=Neut\|Number=Sing\|POS=NOUN`, `Case=Acc\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=2\|PronType=Prs\|SubGender=Masc1\|Variant=Long`, `Degree=Pos\|POS=ADV\|PronType=Dem`, `Aspect=Imp\|Gender=Masc\|Mood=Ind\|Number=Plur\|POS=VERB\|SubGender=Masc1\|Tense=Past\|VerbForm=Fin\|Voice=Act`, `Aspect=Imp\|Number=Plur\|POS=AUX\|Person=1\|Variant=Short`, `Case=Acc\|Gender=Neut\|Number=Sing\|POS=PRON\|PronType=Int`, `Case=Nom\|Gender=Neut\|Number=Sing\|POS=PRON\|PronType=Int`, `Case=Loc\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Dem\|SubGender=Masc3`, `Case=Loc\|Gender=Masc\|Number=Plur\|POS=NOUN\|SubGender=Masc3`, `Aspect=Imp\|POS=AUX\|VerbForm=Inf\|Voice=Act`, `Case=Ins\|Gender=Neut\|Number=Sing\|POS=NOUN`, `Case=Ins\|Degree=Pos\|Gender=Fem\|Number=Sing\|POS=ADJ`, `Case=Acc\|Gender=Masc\|Number=Sing\|POS=NOUN\|SubGender=Masc1`, `Degree=Sup\|POS=ADV`, `POS=ADV\|PronType=Dem`, `Aspect=Imp\|Gender=Neut\|Mood=Ind\|Number=Sing\|POS=AUX\|Tense=Past\|VerbForm=Fin\|Voice=Act`, `Aspect=Imp\|Mood=Ind\|Number=Sing\|POS=VERB\|Person=2\|Tense=Pres\|VerbForm=Fin\|Voice=Act`, `Case=Ins\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Dem\|SubGender=Masc3`, `Mood=Ind\|POS=VERB\|Tense=Pres\|VerbForm=Fin\|VerbType=Quasi`, `Aspect=Imp\|Gender=Neut\|Mood=Ind\|Number=Sing\|POS=AUX\|Tense=Past\|VerbForm=Fin`, `Case=Nom\|Gender=Neut\|Number=Sing\|POS=PRON\|PronType=Dem`, `POS=PART`, `Case=Nom\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Dem\|SubGender=Masc1`, `POS=ADV\|PronType=Int`, `Case=Nom\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=2\|PronType=Prs\|SubGender=Masc1`, `POS=PART\|Polarity=Neg`, `Case=Gen\|Gender=Masc\|Number=Plur\|POS=PRON\|Person=3\|PrepCase=Npr\|PronType=Prs\|SubGender=Masc1\|Variant=Long`, `POS=PART\|PartType=Int`, `Case=Nom\|Gender=Fem\|Number=Sing\|POS=DET\|PronType=Ind`, `Case=Ins\|Gender=Fem\|Number=Sing\|POS=DET\|PronType=Dem`, `Case=Loc\|Gender=Masc\|Number=Sing\|POS=PROPN\|SubGender=Masc1`, `Case=Acc\|POS=PRON\|PronType=Prs\|Reflex=Yes`, `Case=Dat\|Gender=Masc\|Number=Sing\|POS=PROPN\|SubGender=Masc3`, `Case=Acc\|Gender=Neut\|Number=Plur\|POS=PROPN`, `Case=Nom\|Gender=Masc\|Number=Sing\|POS=NOUN\|SubGender=Masc2`, `Aspect=Imp\|Gender=Masc\|Mood=Ind\|Number=Sing\|POS=VERB\|SubGender=Masc2\|Tense=Past\|VerbForm=Fin\|Voice=Act`, `Case=Loc\|Gender=Masc\|Number=Sing\|POS=NOUN\|SubGender=Masc1`, `Case=Ins\|Gender=Masc\|Number=Sing\|POS=PROPN\|SubGender=Masc1`, `Aspect=Imp\|Gender=Neut\|Mood=Ind\|Number=Sing\|POS=VERB\|Tense=Past\|VerbForm=Fin\|Voice=Act`, `Case=Ins\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Dem\|SubGender=Masc3`, `Case=Ins\|Gender=Masc\|Number=Plur\|POS=NOUN\|SubGender=Masc3`, `Case=Nom\|Gender=Neut\|Number=Sing\|POS=DET\|PronType=Dem`, `Case=Nom\|Degree=Pos\|Gender=Neut\|Number=Sing\|POS=ADJ`, `Case=Gen\|Gender=Fem\|Number=Sing\|POS=PROPN`, `Aspect=Perf\|Mood=Ind\|Number=Sing\|POS=VERB\|Person=3\|Tense=Fut\|VerbForm=Fin\|Voice=Act`, `Aspect=Imp\|Mood=Ind\|Number=Plur\|POS=VERB\|Person=2\|Tense=Pres\|VerbForm=Fin\|Voice=Act`, `Case=Nom\|Gender=Neut\|Number=Plur\|POS=NOUN`, `Case=Nom\|Degree=Cmp\|Gender=Neut\|Number=Plur\|POS=ADJ`, `Aspect=Imp\|Mood=Ind\|Number=Plur\|POS=AUX\|Person=3\|Tense=Pres\|VerbForm=Fin\|Voice=Act`, `Case=Dat\|Gender=Fem\|Number=Sing\|POS=PRON\|Person=1\|PronType=Prs\|Variant=Short`, `Degree=Cmp\|POS=ADV`, `Case=Acc\|Gender=Fem\|NumType=Card\|Number=Plur\|POS=DET\|PronType=Ind`, `Aspect=Perf\|Case=Acc\|Gender=Masc\|Number=Sing\|POS=ADJ\|Polarity=Pos\|SubGender=Masc3\|VerbForm=Part\|Voice=Pass`, `Case=Gen\|Gender=Neut\|Number=Sing\|POS=PRON\|PronType=Neg`, `Case=Gen\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=ADJ\|SubGender=Masc1`, `Case=Gen\|Gender=Masc\|Number=Sing\|POS=NOUN\|SubGender=Masc1`, `Case=Acc\|Gender=Neut\|Number=Sing\|POS=PRON\|PronType=Ind`, `Case=Nom\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Rel\|SubGender=Masc1`, `Aspect=Perf\|Mood=Ind\|Number=Plur\|POS=VERB\|Person=3\|Tense=Fut\|VerbForm=Fin\|Voice=Act`, `Case=Nom\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Rel\|SubGender=Masc3`, `Case=Nom\|Gender=Masc\|Number=Plur\|POS=PRON\|Person=2\|PronType=Prs\|SubGender=Masc1`, `Aspect=Perf\|Gender=Masc\|Mood=Ind\|Number=Sing\|POS=VERB\|SubGender=Masc2\|Tense=Past\|VerbForm=Fin\|Voice=Act`, `Case=Acc\|Gender=Masc\|NumType=Card\|Number=Plur\|POS=DET\|PronType=Int\|SubGender=Masc3`, `Case=Gen\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=3\|PrepCase=Npr\|PronType=Prs\|SubGender=Masc1\|Variant=Long`, `Case=Nom\|Gender=Fem\|Number=Sing\|POS=PRON\|Person=1\|PronType=Prs`, `Aspect=Imp\|Number=Sing\|POS=AUX\|Person=1\|Variant=Short`, `AdpType=Prep\|POS=ADP\|Variant=Long`, `Aspect=Imp\|Mood=Ind\|Number=Sing\|POS=VERB\|Person=1\|Tense=Pres\|VerbForm=Fin\|Voice=Act`, `Case=Dat\|Gender=Fem\|Number=Plur\|POS=NOUN`, `Case=Nom\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=1\|PronType=Prs\|SubGender=Masc1`, `Aspect=Imp\|Mood=Ind\|Number=Sing\|POS=AUX\|Person=1\|Tense=Pres\|VerbForm=Fin\|Voice=Act`, `Aspect=Imp\|Number=Sing\|POS=AUX\|Person=1\|Variant=Long`, `Case=Dat\|Gender=Masc\|Number=Sing\|POS=NOUN\|SubGender=Masc1`, `Aspect=Perf\|Mood=Ind\|Number=Sing\|POS=VERB\|Person=1\|Tense=Fut\|VerbForm=Fin\|Voice=Act`, `Case=Ins\|Gender=Neut\|Number=Sing\|POS=PRON\|PronType=Dem`, `Case=Dat\|POS=PRON\|PronType=Prs\|Reflex=Yes`, `Case=Nom\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=3\|PrepCase=Npr\|PronType=Prs\|SubGender=Masc1\|Variant=Long`, `Case=Acc\|Gender=Neut\|Number=Sing\|POS=PRON\|PronType=Dem`, `Case=Acc\|Gender=Masc\|Number=Plur\|POS=PRON\|Person=3\|PrepCase=Npr\|PronType=Prs\|SubGender=Masc1\|Variant=Long`, `Case=Gen\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=2\|PronType=Prs\|SubGender=Masc1\|Variant=Long`, `Case=Acc\|Gender=Masc\|NumType=Card\|Number=Plur\|POS=NUM\|SubGender=Masc2`, `Case=Dat\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=2\|PronType=Prs\|SubGender=Masc1\|Variant=Long`, `POS=ADV\|PronType=Neg`, `Case=Gen\|Gender=Neut\|Number=Sing\|POS=DET\|PronType=Dem`, `Case=Dat\|Gender=Masc\|Number=Plur\|POS=PRON\|Person=2\|PronType=Prs\|SubGender=Masc1`, `Case=Ins\|Gender=Masc\|Number=Plur\|POS=PROPN\|SubGender=Masc1`, `POS=ADJ\|PrepCase=Pre`, `Degree=Pos\|POS=ADV\|PronType=Int`, `Case=Ins\|Gender=Fem\|Number=Sing\|POS=PRON\|Person=2\|PronType=Prs`, `Case=Nom\|Gender=Masc\|Number=Plur\|POS=PROPN\|SubGender=Masc1`, `Case=Loc\|Gender=Neut\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Case=Loc\|Gender=Neut\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=2\|Poss=Yes\|PronType=Prs`, `Case=Loc\|Degree=Pos\|Gender=Fem\|Number=Sing\|POS=ADJ`, `Case=Nom\|Gender=Fem\|Number=Sing\|POS=DET\|PronType=Int`, `Case=Nom\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Int\|SubGender=Masc1`, `Case=Nom\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Int\|SubGender=Masc2`, `Case=Dat\|Gender=Fem\|Number=Sing\|POS=PROPN`, `Case=Nom\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Int\|SubGender=Masc2`, `Case=Ins\|Gender=Masc\|Number=Plur\|POS=PRON\|Person=1\|PronType=Prs\|SubGender=Masc1`, `Case=Dat\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=3\|PrepCase=Npr\|PronType=Prs\|SubGender=Masc1\|Variant=Long`, `Aspect=Imp\|Number=Sing\|POS=AUX\|Person=2\|Variant=Long`, `Case=Dat\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=3\|PrepCase=Npr\|PronType=Prs\|SubGender=Masc1\|Variant=Short`, `Case=Acc\|Gender=Fem\|Number=Sing\|POS=DET\|PronType=Tot`, `Case=Acc\|Gender=Fem\|Number=Sing\|POS=DET\|PronType=Dem`, `Aspect=Perf\|Gender=Masc\|Mood=Ind\|Number=Sing\|POS=VERB\|SubGender=Masc3\|Tense=Past\|VerbForm=Fin\|Voice=Act`, `Aspect=Perf\|Case=Ins\|Gender=Neut\|Number=Sing\|POS=NOUN\|Polarity=Pos\|VerbForm=Vnoun`, `Case=Dat\|Gender=Fem\|Number=Sing\|POS=NOUN`, `Case=Nom\|Gender=Masc\|Number=Sing\|POS=PRON\|PronType=Int\|SubGender=Masc1`, `Case=Dat\|Gender=Fem\|Number=Sing\|POS=PRON\|Person=2\|PronType=Prs\|Variant=Short`, `Case=Loc\|Gender=Masc\|Number=Plur\|POS=PRON\|Person=3\|PrepCase=Pre\|PronType=Prs\|SubGender=Masc3\|Variant=Long`, `Case=Nom\|Emphatic=Yes\|Gender=Masc\|Number=Sing\|POS=PRON\|PronType=Int\|SubGender=Masc1`, `Case=Gen\|Gender=Masc\|Number=Plur\|POS=PRON\|Person=2\|PronType=Prs\|SubGender=Masc1`, `Hyph=Yes\|POS=ADJ`, `Case=Acc\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=ADJ\|SubGender=Masc3`, `Case=Acc\|Gender=Fem\|Number=Sing\|POS=PRON\|Person=1\|PronType=Prs\|Variant=Long`, `Case=Nom\|Gender=Masc\|Number=Plur\|POS=NOUN\|SubGender=Masc1`, `Case=Acc\|Gender=Fem\|Number=Sing\|POS=PRON\|Person=3\|PrepCase=Npr\|PronType=Prs\|Variant=Long`, `Aspect=Imp\|Gender=Masc\|Mood=Ind\|Number=Plur\|POS=AUX\|SubGender=Masc3\|Tense=Past\|VerbForm=Fin\|Voice=Act`, `POS=ADV\|PronType=Ind`, `Case=Acc\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=3\|PrepCase=Npr\|PronType=Prs\|SubGender=Masc3\|Variant=Short`, `Case=Nom\|Gender=Masc\|Number=Plur\|POS=PRON\|Person=1\|PronType=Prs\|SubGender=Masc1`, `Aspect=Perf\|Mood=Ind\|Number=Plur\|POS=VERB\|Person=1\|Tense=Fut\|VerbForm=Fin\|Voice=Act`, `POS=ADV\|PronType=Rel`, `Case=Nom\|Gender=Masc\|Number=Sing\|POS=PRON\|PronType=Ind\|SubGender=Masc1`, `Case=Dat\|Gender=Masc\|Number=Plur\|POS=PRON\|Person=3\|PrepCase=Npr\|PronType=Prs\|SubGender=Masc1\|Variant=Long`, `Case=Nom\|Gender=Masc\|Number=Sing\|POS=PRON\|PronType=Neg\|SubGender=Masc1`, `Case=Gen\|Gender=Neut\|Number=Sing\|POS=PRON\|PronType=Dem`, `Case=Acc\|Gender=Neut\|Number=Plur\|POS=NOUN`, `Case=Ins\|Gender=Fem\|Number=Sing\|POS=PROPN`, `POS=PUNCT\|PunctSide=Ini\|PunctType=Quot`, `Case=Nom\|Gender=Fem\|Number=Plur\|POS=PRON\|Person=1\|PronType=Prs`, `Aspect=Imp\|Gender=Fem\|Mood=Ind\|Number=Plur\|POS=VERB\|Tense=Past\|VerbForm=Fin\|Voice=Act`, `Case=Nom\|Gender=Masc\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs\|SubGender=Masc3`, `Case=Loc\|Gender=Neut\|Number=Sing\|POS=PRON\|PronType=Tot`, `Case=Loc\|Gender=Neut\|Number=Sing\|POS=PRON\|PronType=Int`, `Case=Nom\|Gender=Fem\|Number=Sing\|Number[psor]=Plur\|POS=DET\|Person=2\|Poss=Yes\|PronType=Prs`, `Case=Acc\|Gender=Neut\|NumType=Card\|Number=Plur\|POS=DET\|PronType=Int`, `Case=Nom\|Degree=Pos\|Gender=Masc\|Number=Plur\|POS=ADJ\|SubGender=Masc3`, `Case=Dat\|Gender=Masc\|Number=Sing\|POS=PRON\|PronType=Neg\|SubGender=Masc1`, `Aspect=Perf\|Gender=Masc\|Mood=Ind\|Number=Plur\|POS=VERB\|SubGender=Masc3\|Tense=Past\|VerbForm=Fin\|Voice=Act`, `Case=Acc\|Degree=Pos\|Gender=Neut\|Number=Sing\|POS=ADJ`, `Case=Dat\|Gender=Neut\|Number=Sing\|POS=PRON\|PronType=Int`, `Case=Gen\|Gender=Neut\|Number=Plur\|POS=NOUN`, `Case=Gen\|Gender=Fem\|Number=Sing\|POS=DET\|PronType=Ind`, `Aspect=Perf\|Mood=Imp\|Number=Sing\|POS=VERB\|Person=2\|VerbForm=Fin\|Voice=Act`, `Aspect=Perf\|Case=Nom\|Gender=Masc\|Number=Sing\|POS=ADJ\|Polarity=Pos\|SubGender=Masc3\|VerbForm=Part\|Voice=Pass`, `Mood=Imp\|POS=AUX`, `Case=Loc\|Gender=Neut\|Number=Sing\|POS=PRON\|PronType=Dem`, `Case=Dat\|Gender=Masc\|Number=Plur\|POS=NOUN\|SubGender=Masc1`, `Case=Gen\|Gender=Masc\|Number=Plur\|POS=NOUN\|SubGender=Masc2`, `POS=PUNCT\|PunctSide=Ini\|PunctType=Brck`, `Case=Dat\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=1\|PronType=Prs\|SubGender=Masc1\|Variant=Short`, `Case=Acc\|Gender=Masc\|Number=Sing\|POS=NOUN\|SubGender=Masc2`, `POS=PUNCT\|PunctSide=Fin\|PunctType=Brck`, `Aspect=Perf\|Case=Dat\|Gender=Masc\|Number=Plur\|POS=ADJ\|Polarity=Pos\|SubGender=Masc3\|VerbForm=Part\|Voice=Pass`, `Case=Dat\|Gender=Masc\|Number=Plur\|POS=NOUN\|SubGender=Masc3`, `Case=Loc\|Gender=Fem\|NumType=Card\|Number=Plur\|POS=NUM`, `Case=Nom\|Degree=Sup\|Gender=Masc\|Number=Sing\|POS=ADJ\|SubGender=Masc1`, `Case=Acc\|Gender=Masc\|NumType=Card\|Number=Plur\|POS=DET\|PronType=Ind\|SubGender=Masc3`, `Case=Nom\|Gender=Fem\|Number=Sing\|POS=PRON\|Person=3\|PrepCase=Npr\|PronType=Prs\|Variant=Long`, `Case=Nom\|Gender=Masc\|Number=Plur\|POS=PRON\|Person=3\|PrepCase=Npr\|PronType=Prs\|SubGender=Masc1\|Variant=Long`, `Aspect=Imp\|Mood=Ind\|Number=Plur\|POS=AUX\|Person=3\|Tense=Fut\|VerbForm=Fin`, `Case=Acc\|Degree=Pos\|Gender=Masc\|Number=Plur\|POS=ADJ\|SubGender=Masc1`, `Case=Acc\|Gender=Neut\|Number=Sing\|POS=DET\|Poss=Yes\|PronType=Prs\|Reflex=Yes`, `Case=Acc\|Degree=Pos\|Gender=Fem\|Number=Sing\|POS=ADJ`, `Case=Ins\|Gender=Masc\|Number=Plur\|POS=PRON\|Person=3\|PrepCase=Pre\|PronType=Prs\|SubGender=Masc1\|Variant=Long`, `Case=Loc\|Gender=Fem\|Number=Sing\|POS=DET\|PronType=Dem`, `Aspect=Perf\|Case=Loc\|Gender=Neut\|Number=Sing\|POS=NOUN\|Polarity=Pos\|VerbForm=Vnoun`, `Case=Loc\|Gender=Fem\|Number=Sing\|POS=DET\|Poss=Yes\|PronType=Prs\|Reflex=Yes`, `Aspect=Imp\|Mood=Ind\|Number=Sing\|POS=AUX\|Person=1\|Tense=Fut\|VerbForm=Fin`, `Case=Acc\|Gender=Masc\|Number=Sing\|Number[psor]=Plur\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs\|SubGender=Masc3`, `Case=Loc\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Ind\|SubGender=Masc3`, `Aspect=Imp\|Case=Nom\|Gender=Neut\|Number=Sing\|POS=NOUN\|Polarity=Pos\|VerbForm=Vnoun`, `Case=Gen\|Gender=Masc\|Number=Sing\|POS=NOUN\|SubGender=Masc2`, `Aspect=Perf\|Mood=Ind\|Number=Sing\|POS=VERB\|Person=2\|Tense=Fut\|VerbForm=Fin\|Voice=Act`, `Aspect=Imp\|Mood=Ind\|POS=VERB\|Person=0\|Tense=Past\|VerbForm=Fin\|Voice=Act`, `Case=Acc\|Gender=Fem\|Number=Sing\|POS=DET\|PronType=Ind`, `Case=Nom\|Gender=Masc\|Number=Sing\|POS=PROPN\|SubGender=Masc3`, `Aspect=Imp\|Gender=Masc\|Mood=Ind\|Number=Sing\|POS=VERB\|SubGender=Masc3\|Tense=Past\|VerbForm=Fin\|Voice=Act`, `Case=Acc\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Ind\|SubGender=Masc3`, `Aspect=Imp\|Case=Acc\|Gender=Masc\|Number=Sing\|POS=ADJ\|Polarity=Pos\|SubGender=Masc3\|VerbForm=Part\|Voice=Act`, `Case=Nom\|Gender=Masc\|Number=Plur\|POS=NOUN\|Polite=Depr\|SubGender=Masc2`, `Case=Acc\|Degree=Cmp\|Gender=Masc\|Number=Plur\|POS=ADJ\|SubGender=Masc3`, `Degree=Pos\|POS=ADV\|PronType=Ind`, `Case=Gen\|Gender=Fem\|Number=Plur\|POS=DET\|PronType=Dem`, `Case=Nom\|Gender=Fem\|Number=Plur\|POS=NOUN`, `Aspect=Perf\|Case=Nom\|Gender=Fem\|Number=Plur\|POS=ADJ\|Polarity=Pos\|VerbForm=Part\|Voice=Pass`, `Aspect=Imp\|Gender=Masc\|Mood=Ind\|Number=Plur\|POS=VERB\|SubGender=Masc3\|Tense=Past\|VerbForm=Fin\|Voice=Act`, `Aspect=Imp\|Case=Nom\|Gender=Masc\|Number=Plur\|POS=ADJ\|Polarity=Pos\|SubGender=Masc3\|VerbForm=Part\|Voice=Pass`, `Case=Nom\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Dem\|SubGender=Masc3`, `Case=Acc\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=3\|PrepCase=Npr\|PronType=Prs\|SubGender=Masc1\|Variant=Short`, `Aspect=Imp\|Gender=Masc\|Mood=Ind\|Number=Sing\|POS=AUX\|SubGender=Masc3\|Tense=Past\|VerbForm=Fin\|Voice=Act`, `Case=Dat\|Gender=Fem\|Number=Sing\|Number[psor]=Plur\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Case=Dat\|Degree=Pos\|Gender=Fem\|Number=Sing\|POS=ADJ`, `Aspect=Imp\|Mood=Ind\|Number=Plur\|POS=AUX\|Person=1\|Tense=Pres\|VerbForm=Fin\|Voice=Act`, `Aspect=Perf\|Case=Nom\|Gender=Masc\|Number=Plur\|POS=ADJ\|Polarity=Pos\|SubGender=Masc1\|VerbForm=Part\|Voice=Pass`, `Aspect=Imp\|Mood=Ind\|Number=Sing\|POS=AUX\|Person=3\|Tense=Pres\|VerbForm=Fin`, `Case=Nom\|Degree=Sup\|Gender=Neut\|Number=Sing\|POS=ADJ`, `Aspect=Perf\|Mood=Ind\|Number=Sing\|POS=AUX\|Person=3\|Tense=Fut\|VerbForm=Fin\|Voice=Act`, `Aspect=Imp\|Gender=Masc\|Mood=Ind\|Number=Sing\|POS=AUX\|SubGender=Masc3\|Tense=Past\|VerbForm=Fin`, `Case=Nom\|Degree=Cmp\|Gender=Fem\|Number=Sing\|POS=ADJ`, `Aspect=Imp\|Mood=Ind\|Number=Plur\|POS=AUX\|Person=3\|Tense=Pres\|VerbForm=Fin`, `POS=INTJ`, `POS=ADV\|PronType=Tot`, `Case=Dat\|Gender=Fem\|Number=Sing\|POS=PRON\|Person=2\|PronType=Prs\|Variant=Long`, `Case=Loc\|Gender=Fem\|Number=Sing\|POS=PRON\|Person=3\|PrepCase=Pre\|PronType=Prs\|Variant=Long`, `Case=Gen\|Gender=Masc\|Number=Plur\|POS=NOUN\|SubGender=Masc1`, `Agglutination=Nagl\|Aspect=Imp\|Gender=Masc\|Mood=Ind\|Number=Sing\|POS=VERB\|SubGender=Masc3\|Tense=Past\|VerbForm=Fin\|Voice=Act`, `Case=Nom\|Gender=Fem\|Number=Sing\|POS=PRON\|Person=2\|PronType=Prs`, `Aspect=Imp\|Mood=Ind\|Number=Sing\|POS=AUX\|Person=2\|Tense=Fut\|VerbForm=Fin`, `Case=Nom\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=2\|PronType=Prs\|SubGender=Masc2`, `Case=Nom\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=ADJ\|SubGender=Masc2`, `Aspect=Imp\|Mood=Ind\|Number=Sing\|POS=AUX\|Person=2\|Tense=Pres\|VerbForm=Fin\|Voice=Act`, `Aspect=Imp\|Gender=Masc\|Mood=Ind\|Number=Sing\|POS=AUX\|SubGender=Masc1\|Tense=Past\|VerbForm=Fin\|Voice=Act`, `Case=Gen\|Gender=Masc\|Number=Plur\|POS=PRON\|Person=1\|PronType=Prs\|SubGender=Masc1`, `Case=Ins\|Gender=Neut\|Number=Sing\|POS=PRON\|PronType=Int`, `Aspect=Imp\|Mood=Ind\|Number=Plur\|POS=AUX\|Person=1\|Tense=Fut\|VerbForm=Fin`, `Aspect=Imp\|Gender=Fem\|Mood=Ind\|Number=Sing\|POS=AUX\|Tense=Past\|VerbForm=Fin`, `Case=Acc\|Gender=Fem\|Number=Sing\|POS=PRON\|Person=3\|PrepCase=Pre\|PronType=Prs\|Variant=Long`, `Aspect=Imp\|Number=Plur\|POS=AUX\|Person=2\|Variant=Short`, `Case=Acc\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Dem\|SubGender=Masc1`, `Case=Ins\|Gender=Neut\|Number=Plur\|POS=NOUN`, `Case=Nom\|Gender=Neut\|Number=Sing\|POS=PROPN`, `Case=Acc\|Degree=Cmp\|Gender=Fem\|Number=Plur\|POS=ADJ`, `Aspect=Imp\|Case=Acc\|Gender=Neut\|Number=Sing\|POS=NOUN\|Polarity=Pos\|VerbForm=Vnoun`, `Aspect=Imp\|Mood=Ind\|Number=Sing\|POS=VERB\|Person=3\|Tense=Fut\|VerbForm=Fin`, `Case=Ins\|Gender=Fem\|Number=Plur\|POS=NOUN`, `Case=Gen\|Gender=Neut\|Number=Sing\|POS=PRON\|PronType=Rel`, `Case=Gen\|Gender=Masc\|Number=Plur\|POS=DET\|Poss=Yes\|PronType=Prs\|Reflex=Yes\|SubGender=Masc1`, `Case=Gen\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=ADJ\|SubGender=Masc2`, `Case=Acc\|Gender=Masc\|Number=Sing\|POS=PROPN\|SubGender=Masc1`, `Case=Acc\|Gender=Fem\|Number=Plur\|POS=PRON\|Person=3\|PrepCase=Npr\|PronType=Prs\|Variant=Long`, `Case=Gen\|Gender=Fem\|Number=Plur\|POS=PRON\|Person=3\|PrepCase=Pre\|PronType=Prs\|Variant=Long`, `Case=Acc\|Gender=Fem\|Number=Sing\|POS=PRON\|Person=2\|PronType=Prs\|Variant=Short`, `Aspect=Imp\|Gender=Masc\|Mood=Ind\|Number=Sing\|POS=VERB\|SubGender=Masc1\|Tense=Pres\|VerbForm=Fin\|Voice=Act`, `Case=Gen\|Degree=Pos\|Gender=Masc\|Number=Plur\|POS=ADJ\|SubGender=Masc1`, `Case=Nom\|Degree=Pos\|Gender=Masc\|Number=Plur\|POS=ADJ\|SubGender=Masc2`, `Case=Loc\|Gender=Masc\|Number=Sing\|POS=PROPN\|SubGender=Masc3`, `Aspect=Perf\|Case=Nom\|Gender=Fem\|Number=Sing\|POS=ADJ\|Polarity=Pos\|VerbForm=Part\|Voice=Pass`, `Case=Acc\|Gender=Fem\|Number=Plur\|POS=DET\|PronType=Ind`, `Case=Acc\|Gender=Fem\|Number=Plur\|Number[psor]=Sing\|POS=DET\|Person=2\|Poss=Yes\|PronType=Prs`, `Case=Acc\|Degree=Pos\|Gender=Neut\|Number=Plur\|POS=ADJ`, `Aspect=Imp\|Case=Nom\|Gender=Fem\|Number=Sing\|POS=ADJ\|Polarity=Pos\|VerbForm=Part\|Voice=Act`, `Aspect=Imp\|Case=Nom\|Gender=Fem\|Number=Plur\|POS=ADJ\|Polarity=Pos\|VerbForm=Part\|Voice=Pass`, `Case=Nom\|Gender=Fem\|Number=Sing\|POS=DET\|PronType=Dem`, `Case=Loc\|POS=PRON\|PronType=Prs\|Reflex=Yes`, `Case=Loc\|Gender=Fem\|Number=Plur\|POS=DET\|PronType=Tot`, `Aspect=Perf\|Gender=Fem\|Mood=Ind\|Number=Sing\|POS=AUX\|Tense=Past\|VerbForm=Fin\|Voice=Act`, `Case=Gen\|Gender=Fem\|Number=Sing\|POS=DET\|PronType=Dem`, `Aspect=Imp\|Gender=Masc\|Mood=Ind\|Number=Plur\|POS=AUX\|SubGender=Masc1\|Tense=Past\|VerbForm=Fin\|Voice=Act`, `Case=Nom\|Degree=Cmp\|Gender=Masc\|Number=Plur\|POS=ADJ\|SubGender=Masc1`, `Aspect=Imp\|Gender=Fem\|Mood=Ind\|Number=Plur\|POS=AUX\|Tense=Past\|VerbForm=Fin\|Voice=Act`, `Case=Nom\|Degree=Pos\|Gender=Fem\|Number=Plur\|POS=ADJ`, `Case=Acc\|Gender=Fem\|Number=Sing\|POS=PROPN`, `Aspect=Imp\|Gender=Fem\|Mood=Ind\|Number=Sing\|POS=VERB\|Tense=Pres\|VerbForm=Fin\|Voice=Act`, `Case=Acc\|Gender=Masc\|Number=Plur\|POS=PRON\|Person=2\|PronType=Prs\|SubGender=Masc1`, `Aspect=Perf\|Case=Gen\|Gender=Neut\|Number=Sing\|POS=NOUN\|Polarity=Pos\|VerbForm=Vnoun`, `Case=Nom\|Gender=Neut\|Number=Sing\|POS=PRON\|PronType=Ind`, `Case=Nom\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=3\|PrepCase=Npr\|PronType=Prs\|SubGender=Masc3\|Variant=Long`, `Case=Acc\|Gender=Masc\|Number=Sing\|POS=PRON\|PronType=Ind\|SubGender=Masc1`, `Case=Acc\|Emphatic=Yes\|Gender=Neut\|Number=Sing\|POS=PRON\|PronType=Int`, `Case=Gen\|Gender=Masc\|Number=Plur\|POS=PROPN\|SubGender=Masc1`, `Case=Nom\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Tot\|SubGender=Masc1`, `Aspect=Imp\|Gender=Neut\|Mood=Ind\|Number=Plur\|POS=VERB\|Tense=Past\|VerbForm=Fin\|Voice=Act`, `Case=Nom\|Gender=Masc\|Number=Plur\|POS=NOUN\|SubGender=Masc2`, `Case=Dat\|Gender=Neut\|Number=Sing\|POS=PRON\|PronType=Dem`, `Case=Dat\|Gender=Masc\|Number=Sing\|POS=PRON\|PronType=Ind\|SubGender=Masc1`, `Aspect=Imp\|Mood=Ind\|Number=Sing\|POS=AUX\|Person=3\|Tense=Fut\|VerbForm=Fin`, `Case=Acc\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Dem\|SubGender=Masc3`, `Case=Voc\|Gender=Masc\|Number=Sing\|POS=NOUN\|SubGender=Masc1`, `Case=Acc\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Tot\|SubGender=Masc1`, `Agglutination=Agl\|Aspect=Imp\|Gender=Masc\|Mood=Ind\|Number=Sing\|POS=VERB\|SubGender=Masc1\|Tense=Past\|VerbForm=Fin\|Voice=Act`, `Case=Gen\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=2\|PronType=Prs\|SubGender=Masc1\|Variant=Short`, `Aspect=Imp\|Case=Ins\|Gender=Neut\|Number=Sing\|POS=NOUN\|Polarity=Pos\|VerbForm=Vnoun`, `Case=Gen\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Dem\|SubGender=Masc3`, `Case=Gen\|Gender=Masc\|Number=Plur\|POS=PRON\|Person=3\|PrepCase=Npr\|PronType=Prs\|SubGender=Masc3\|Variant=Long`, `Case=Acc\|Degree=Cmp\|Gender=Fem\|Number=Sing\|POS=ADJ`, `Case=Acc\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Dem\|SubGender=Masc1`, `Case=Acc\|Degree=Sup\|Gender=Masc\|Number=Plur\|POS=ADJ\|SubGender=Masc1`, `Aspect=Perf\|Case=Acc\|Gender=Neut\|Number=Sing\|POS=NOUN\|Polarity=Pos\|VerbForm=Vnoun`, `Case=Nom\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Tot\|SubGender=Masc1`, `Aspect=Perf\|Case=Nom\|Gender=Neut\|Number=Sing\|POS=ADJ\|Polarity=Pos\|VerbForm=Part\|Voice=Pass`, `Case=Dat\|Gender=Masc\|Number=Sing\|POS=NOUN\|SubGender=Masc3`, `Aspect=Perf\|Gender=Neut\|Mood=Ind\|Number=Plur\|POS=VERB\|Tense=Past\|VerbForm=Fin\|Voice=Act`, `Case=Gen\|Gender=Neut\|Number=Sing\|POS=PRON\|PronType=Tot`, `Case=Gen\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=3\|PrepCase=Pre\|PronType=Prs\|SubGender=Masc1\|Variant=Long`, `Case=Acc\|Gender=Masc\|Number=Plur\|POS=DET\|Poss=Yes\|PronType=Prs\|Reflex=Yes\|SubGender=Masc3`, `Case=Ins\|Gender=Masc\|Number=Sing\|POS=NOUN\|SubGender=Masc2`, `Case=Ins\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Dem\|SubGender=Masc2`, `Case=Ins\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=ADJ\|SubGender=Masc1`, `Aspect=Perf\|Gender=Fem\|Mood=Ind\|Number=Plur\|POS=VERB\|Tense=Past\|VerbForm=Fin\|Voice=Act`, `Case=Nom\|Degree=Pos\|Gender=Neut\|Number=Plur\|POS=ADJ`, `Case=Gen\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=3\|PrepCase=Npr\|PronType=Prs\|SubGender=Masc3\|Variant=Long`, `Aspect=Imp\|Case=Loc\|Gender=Neut\|Number=Sing\|POS=NOUN\|Polarity=Pos\|VerbForm=Vnoun`, `Case=Acc\|Gender=Neut\|Number=Sing\|Number[psor]=Plur\|POS=DET\|Person=2\|Poss=Yes\|PronType=Prs`, `Case=Gen\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=1\|PronType=Prs\|SubGender=Masc1\|Variant=Long`, `Case=Nom\|Gender=Fem\|Number=Sing\|POS=DET\|PronType=Rel`, `Case=Acc\|Gender=Neut\|Number=Sing\|POS=PRON\|PronType=Tot`, `Case=Nom\|Degree=Sup\|Gender=Masc\|Number=Plur\|POS=ADJ\|SubGender=Masc1`, `Agglutination=Nagl\|Aspect=Imp\|Gender=Masc\|Mood=Ind\|Number=Sing\|POS=VERB\|SubGender=Masc1\|Tense=Past\|VerbForm=Fin\|Voice=Act`, `Case=Ins\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=1\|PronType=Prs\|SubGender=Masc1`, `Aspect=Imp\|Mood=Imp\|Number=Plur\|POS=VERB\|Person=1\|VerbForm=Fin\|Voice=Act`, `Case=Dat\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=3\|PrepCase=Npr\|PronType=Prs\|SubGender=Masc3\|Variant=Short`, `Case=Acc\|Gender=Neut\|Number=Plur\|Number[psor]=Sing\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Case=Nom\|Gender=Fem\|Number=Plur\|POS=DET\|PronType=Dem`, `Case=Acc\|Degree=Sup\|Gender=Masc\|Number=Plur\|POS=ADJ\|SubGender=Masc3`, `Aspect=Imp\|Case=Gen\|Gender=Neut\|Number=Sing\|POS=NOUN\|Polarity=Pos\|VerbForm=Vnoun`, `Aspect=Perf\|Case=Acc\|Gender=Masc\|Number=Sing\|POS=ADJ\|Polarity=Pos\|SubGender=Masc1\|VerbForm=Part\|Voice=Pass`, `Case=Gen\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Dem\|SubGender=Masc3`, `Agglutination=Nagl\|Aspect=Perf\|Gender=Masc\|Mood=Ind\|Number=Sing\|POS=VERB\|SubGender=Masc2\|Tense=Past\|VerbForm=Fin\|Voice=Act`, `Aspect=Perf\|Case=Nom\|Gender=Masc\|Number=Sing\|POS=ADJ\|Polarity=Pos\|SubGender=Masc1\|VerbForm=Part\|Voice=Pass`, `Case=Loc\|Gender=Neut\|Number=Sing\|POS=DET\|PronType=Dem`, `Case=Dat\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=2\|PronType=Prs\|SubGender=Masc1\|Variant=Short`, `Case=Acc\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=3\|PrepCase=Pre\|PronType=Prs\|SubGender=Masc1\|Variant=Long`, `Case=Acc\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=1\|PronType=Prs\|SubGender=Masc2\|Variant=Long`, `Case=Nom\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Ind\|SubGender=Masc3`, `Case=Loc\|Degree=Pos\|Gender=Masc\|Number=Plur\|POS=ADJ\|SubGender=Masc3`, `Case=Gen\|Degree=Pos\|Gender=Neut\|Number=Plur\|POS=ADJ`, `Case=Gen\|Degree=Sup\|Gender=Masc\|Number=Plur\|POS=ADJ\|SubGender=Masc1`, `Case=Nom\|Gender=Masc\|Number=Sing\|Number[psor]=Plur\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs\|SubGender=Masc3`, `Aspect=Perf\|Gender=Masc\|Mood=Ind\|Number=Sing\|POS=AUX\|SubGender=Masc3\|Tense=Past\|VerbForm=Fin\|Voice=Act`, `Case=Ins\|Gender=Masc\|Number=Plur\|POS=NOUN\|SubGender=Masc1`, `Case=Acc\|Gender=Fem\|Number=Plur\|POS=DET\|PronType=Dem`, `Aspect=Imp\|Gender=Masc\|Mood=Ind\|Number=Plur\|POS=AUX\|SubGender=Masc3\|Tense=Past\|VerbForm=Fin`, `Case=Nom\|Gender=Fem\|Number=Plur\|POS=DET\|PronType=Tot`, `Case=Nom\|Gender=Neut\|Number=Sing\|POS=PRON\|PronType=Tot`, `Case=Nom\|Gender=Neut\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Case=Acc\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=3\|PrepCase=Pre\|PronType=Prs\|SubGender=Masc3\|Variant=Long`, `Aspect=Imp\|Case=Ins\|Gender=Masc\|Number=Sing\|POS=ADJ\|Polarity=Pos\|SubGender=Masc3\|VerbForm=Part\|Voice=Act`, `Case=Nom\|Gender=Masc\|NumType=Card\|Number=Plur\|POS=NUM\|SubGender=Masc1`, `Case=Acc\|Gender=Neut\|NumType=Card\|Number=Plur\|POS=DET\|PronType=Ind`, `Case=Loc\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Dem\|SubGender=Masc3`, `Case=Dat\|Gender=Fem\|Number=Sing\|POS=PRON\|Person=1\|PronType=Prs\|Variant=Long`, `Case=Ins\|Gender=Neut\|Number=Sing\|POS=PRON\|PronType=Ind`, `Case=Gen\|Gender=Fem\|Number=Sing\|POS=PRON\|Person=1\|PronType=Prs\|Variant=Long`, `Case=Ins\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=3\|PrepCase=Npr\|PronType=Prs\|SubGender=Masc1\|Variant=Long`, `Case=Nom\|Gender=Fem\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Case=Ins\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=3\|PrepCase=Pre\|PronType=Prs\|SubGender=Masc1\|Variant=Long`, `POS=PUNCT\|PunctSide=Fin\|PunctType=Quot`, `Case=Acc\|Gender=Neut\|Number=Plur\|POS=DET\|PronType=Dem`, `Case=Gen\|Gender=Masc\|NumType=Card\|Number=Plur\|POS=NUM\|SubGender=Masc3`, `Case=Acc\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=ADJ\|SubGender=Masc1`, `Case=Ins\|Gender=Fem\|Number=Sing\|POS=PRON\|Person=3\|PrepCase=Pre\|PronType=Prs\|Variant=Long`, `Case=Acc\|Gender=Masc\|Number=Plur\|POS=PRON\|Person=1\|PronType=Prs\|SubGender=Masc1`, `Case=Loc\|Gender=Neut\|Number=Sing\|POS=PRON\|PronType=Ind`, `Case=Loc\|Degree=Cmp\|Gender=Neut\|Number=Sing\|POS=ADJ`, `Aspect=Imp\|POS=VERB\|Tense=Pres\|VerbForm=Conv\|Voice=Act`, `Case=Ins\|Degree=Pos\|Gender=Fem\|Number=Plur\|POS=ADJ`, `Case=Acc\|Gender=Neut\|Number=Sing\|POS=PROPN`, `Case=Acc\|Gender=Masc\|Number=Sing\|POS=PROPN\|SubGender=Masc3`, `Case=Loc\|Degree=Pos\|Gender=Neut\|Number=Sing\|POS=ADJ`, `Case=Loc\|Gender=Neut\|Number=Plur\|POS=NOUN`, `Case=Gen\|Gender=Neut\|Number=Plur\|POS=DET\|Poss=Yes\|PronType=Prs\|Reflex=Yes`, `Case=Acc\|Gender=Neut\|Number=Sing\|POS=DET\|PronType=Dem`, `Case=Gen\|Gender=Neut\|Number=Sing\|Number[psor]=Plur\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Case=Nom\|Gender=Masc\|Number=Plur\|Number[psor]=Sing\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs\|SubGender=Masc1`, `Case=Acc\|Degree=Pos\|Gender=Masc\|Number=Plur\|POS=ADJ\|SubGender=Masc3`, `Aspect=Imp\|Case=Nom\|Gender=Masc\|Number=Plur\|POS=ADJ\|Polarity=Pos\|SubGender=Masc1\|VerbForm=Part\|Voice=Act`, `Case=Ins\|Degree=Pos\|Gender=Masc\|Number=Plur\|POS=ADJ\|SubGender=Masc1`, `Case=Loc\|Gender=Masc\|NumType=Card\|Number=Plur\|POS=NUM\|SubGender=Masc3`, `Case=Loc\|Gender=Neut\|Number=Sing\|POS=PROPN`, `Case=Ins\|Degree=Pos\|Gender=Neut\|Number=Sing\|POS=ADJ`, `Case=Acc\|Gender=Neut\|Number=Plur\|POS=PRON\|Person=3\|PrepCase=Npr\|PronType=Prs\|Variant=Long`, `Case=Ins\|Gender=Masc\|NumType=Card\|Number=Plur\|POS=NUM\|SubGender=Masc1`, `Case=Nom\|Gender=Fem\|NumType=Card\|Number=Plur\|POS=NUM`, `Case=Loc\|Gender=Neut\|Number=Sing\|POS=DET\|Poss=Yes\|PronType=Prs\|Reflex=Yes`, `Aspect=Perf\|Case=Gen\|Gender=Fem\|Number=Sing\|POS=ADJ\|Polarity=Pos\|VerbForm=Part\|Voice=Pass`, `Case=Dat\|Gender=Masc\|Number=Plur\|POS=PRON\|Person=1\|PronType=Prs\|SubGender=Masc1`, `Case=Acc\|Gender=Fem\|Number=Sing\|Number[psor]=Plur\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Case=Acc\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=2\|PronType=Prs\|SubGender=Masc1\|Variant=Short`, `Case=Nom\|Gender=Fem\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=2\|Poss=Yes\|PronType=Prs`, `Case=Loc\|Gender=Masc\|Number=Plur\|POS=PROPN\|SubGender=Masc1`, `Case=Gen\|Gender=Masc\|Number=Sing\|POS=PROPN\|SubGender=Masc2`, `Case=Acc\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=ADJ\|SubGender=Masc2`, `Case=Gen\|Gender=Fem\|Number=Sing\|POS=DET\|Poss=Yes\|PronType=Prs\|Reflex=Yes`, `Case=Gen\|POS=PRON\|PronType=Prs\|Reflex=Yes`, `Case=Nom\|Gender=Neut\|Number=Sing\|POS=PRON\|PronType=Neg`, `Case=Acc\|Gender=Fem\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Case=Nom\|Gender=Masc\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs\|SubGender=Masc1`, `Aspect=Imp\|Case=Nom\|Gender=Masc\|Number=Sing\|POS=ADJ\|Polarity=Pos\|SubGender=Masc3\|VerbForm=Part\|Voice=Act`, `Aspect=Perf\|Gender=Masc\|Mood=Ind\|Number=Plur\|POS=AUX\|SubGender=Masc3\|Tense=Past\|VerbForm=Fin\|Voice=Act`, `Aspect=Perf\|Case=Nom\|Gender=Masc\|Number=Plur\|POS=ADJ\|Polarity=Pos\|SubGender=Masc3\|VerbForm=Part\|Voice=Pass`, `Case=Nom\|Gender=Masc\|Number=Plur\|Number[psor]=Plur\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs\|SubGender=Masc2`, `Aspect=Perf\|Gender=Masc\|Mood=Ind\|Number=Plur\|POS=VERB\|SubGender=Masc2\|Tense=Past\|VerbForm=Fin\|Voice=Act`, `Case=Ins\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Dem\|SubGender=Masc1`, `POS=SCONJ\|PronType=Rel`, `Case=Acc\|Gender=Masc\|Number=Plur\|POS=PRON\|PronType=Tot\|SubGender=Masc1`, `Case=Loc\|Gender=Neut\|Number=Sing\|Number[psor]=Plur\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Aspect=Imp\|Gender=Fem\|Mood=Ind\|Number=Sing\|POS=AUX\|Tense=Past\|VerbForm=Fin\|Voice=Act`, `Aspect=Perf\|Gender=Fem\|Mood=Ind\|Number=Plur\|POS=AUX\|Tense=Past\|VerbForm=Fin\|Voice=Act`, `Aspect=Perf\|Case=Ins\|Gender=Masc\|Number=Sing\|POS=ADJ\|Polarity=Pos\|SubGender=Masc3\|VerbForm=Part\|Voice=Pass`, `Case=Ins\|Gender=Neut\|Number=Sing\|POS=PRON\|PronType=Tot`, `Case=Acc\|Gender=Masc\|Number=Sing\|POS=PROPN\|SubGender=Masc2`, `Case=Ins\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=ADJ\|SubGender=Masc2`, `Case=Ins\|Gender=Fem\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Aspect=Imp\|Case=Gen\|Gender=Fem\|Number=Sing\|POS=ADJ\|Polarity=Pos\|VerbForm=Part\|Voice=Act`, `Case=Acc\|Gender=Neut\|Number=Sing\|POS=PRON\|PronType=Neg`, `Case=Nom\|Gender=Masc\|Number=Sing\|Number[psor]=Plur\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs\|SubGender=Masc2`, `Aspect=Imp\|Case=Gen\|Gender=Neut\|Number=Plur\|POS=ADJ\|Polarity=Pos\|VerbForm=Part\|Voice=Act`, `Case=Voc\|Gender=Masc\|Number=Sing\|POS=PROPN\|SubGender=Masc1`, `Case=Acc\|Gender=Fem\|Number=Sing\|POS=DET\|Poss=Yes\|PronType=Prs\|Reflex=Yes`, `Case=Loc\|Gender=Fem\|Number=Sing\|POS=PRON\|Person=1\|PronType=Prs`, `Case=Acc\|Gender=Masc\|Number=Sing\|POS=DET\|Poss=Yes\|PronType=Prs\|Reflex=Yes\|SubGender=Masc1`, `Aspect=Perf\|Case=Nom\|Gender=Neut\|Number=Sing\|POS=NOUN\|Polarity=Pos\|VerbForm=Vnoun`, `Case=Acc\|Gender=Fem\|Number=Sing\|POS=DET\|PronType=Rel`, `Case=Nom\|Degree=Cmp\|Gender=Masc\|Number=Sing\|POS=ADJ\|SubGender=Masc2`, `Case=Dat\|Gender=Masc\|Number=Sing\|POS=PROPN\|SubGender=Masc1`, `Case=Gen\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=3\|PrepCase=Npr\|PronType=Prs\|SubGender=Masc1\|Variant=Short`, `Case=Acc\|Gender=Fem\|Number=Plur\|Number[psor]=Sing\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Case=Gen\|Gender=Neut\|Number=Sing\|POS=PRON\|PronType=Int`, `Case=Loc\|Gender=Masc\|Number=Plur\|POS=DET\|Poss=Yes\|PronType=Prs\|Reflex=Yes\|SubGender=Masc3`, `Aspect=Perf\|Case=Gen\|Gender=Neut\|Number=Plur\|POS=ADJ\|Polarity=Pos\|VerbForm=Part\|Voice=Pass`, `Case=Gen\|Gender=Fem\|NumType=Card\|Number=Plur\|POS=DET\|PronType=Ind`, `Case=Gen\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Ind\|SubGender=Masc3`, `Case=Acc\|Gender=Fem\|Number=Plur\|POS=DET\|PronType=Tot`, `Case=Ins\|Degree=Pos\|Gender=Masc\|Number=Plur\|POS=ADJ\|SubGender=Masc3`, `Aspect=Imp\|Case=Nom\|Gender=Masc\|Number=Sing\|POS=ADJ\|Polarity=Pos\|SubGender=Masc3\|VerbForm=Part\|Voice=Pass`, `Aspect=Imp\|Gender=Masc\|Mood=Ind\|Number=Plur\|POS=AUX\|SubGender=Masc1\|Tense=Past\|VerbForm=Fin`, `Case=Ins\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Ind\|SubGender=Masc1`, `Case=Loc\|Degree=Pos\|Gender=Neut\|Number=Plur\|POS=ADJ`, `Aspect=Imp\|Gender=Masc\|Mood=Ind\|Number=Sing\|POS=AUX\|SubGender=Masc2\|Tense=Past\|VerbForm=Fin\|Voice=Act`, `Aspect=Imp\|Gender=Masc\|Mood=Ind\|Number=Sing\|POS=AUX\|SubGender=Masc1\|Tense=Past\|VerbForm=Fin`, `Aspect=Perf\|Case=Gen\|Gender=Masc\|Number=Plur\|POS=ADJ\|Polarity=Pos\|SubGender=Masc1\|VerbForm=Part\|Voice=Pass`, `Aspect=Imp\|Case=Nom\|Gender=Masc\|Number=Sing\|POS=ADJ\|Polarity=Pos\|SubGender=Masc1\|VerbForm=Part\|Voice=Pass`, `Case=Gen\|Gender=Fem\|Number=Sing\|POS=PRON\|Person=3\|PrepCase=Pre\|PronType=Prs\|Variant=Long`, `Case=Dat\|Gender=Neut\|Number=Plur\|POS=NOUN`, `Aspect=Imp\|Case=Ins\|Gender=Masc\|Number=Sing\|POS=ADJ\|Polarity=Pos\|SubGender=Masc1\|VerbForm=Part\|Voice=Pass`, `Case=Acc\|Gender=Masc\|NumType=Card\|Number=Plur\|POS=NUM\|SubGender=Masc1`, `Case=Gen\|Gender=Neut\|Number=Sing\|POS=PRON\|Person=3\|PrepCase=Npr\|PronType=Prs\|Variant=Long`, `Case=Acc\|Gender=Masc\|NumType=Card\|Number=Plur\|POS=DET\|PronType=Ind\|SubGender=Masc1`, `Case=Nom\|Gender=Neut\|NumType=Card\|Number=Plur\|POS=NUM`, `Case=Gen\|Degree=Cmp\|Gender=Masc\|Number=Plur\|POS=ADJ\|SubGender=Masc1`, `Case=Nom\|Degree=Sup\|Gender=Masc\|Number=Plur\|POS=ADJ\|SubGender=Masc3`, `Aspect=Imp\|Gender=Neut\|Mood=Ind\|Number=Plur\|POS=AUX\|Tense=Past\|VerbForm=Fin`, `Case=Nom\|Gender=Neut\|Number=Plur\|Number[psor]=Plur\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Aspect=Imp\|Case=Gen\|Gender=Masc\|Number=Plur\|POS=ADJ\|Polarity=Pos\|SubGender=Masc1\|VerbForm=Part\|Voice=Act`, `Case=Dat\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=3\|PrepCase=Pre\|PronType=Prs\|SubGender=Masc1\|Variant=Long`, `Aspect=Imp\|Mood=Imp\|Number=Sing\|POS=AUX\|Person=2\|VerbForm=Fin\|Voice=Act`, `POS=PUNCT\|PunctType=Semi`, `Case=Dat\|Gender=Neut\|Number=Sing\|POS=PRON\|PronType=Tot`, `Case=Acc\|Gender=Masc\|Number=Plur\|POS=PRON\|Person=3\|PrepCase=Npr\|PronType=Prs\|SubGender=Masc3\|Variant=Long`, `Case=Acc\|Gender=Neut\|Number=Sing\|POS=DET\|PronType=Ind`, `Case=Acc\|Degree=Sup\|Gender=Neut\|Number=Sing\|POS=ADJ`, `Aspect=Imp\|Case=Nom\|Gender=Fem\|Number=Sing\|POS=ADJ\|Polarity=Pos\|VerbForm=Part\|Voice=Pass`, `Case=Gen\|Gender=Fem\|NumType=Card\|Number=Plur\|POS=NUM`, `Case=Gen\|Gender=Fem\|Number=Plur\|POS=DET\|PronType=Tot`, `Aspect=Imp\|Mood=Ind\|Number=Plur\|POS=AUX\|Person=2\|Tense=Fut\|VerbForm=Fin`, `Case=Dat\|Gender=Neut\|Number=Plur\|Number[psor]=Plur\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Aspect=Imp\|Mood=Ind\|Number=Plur\|POS=VERB\|Person=3\|Tense=Fut\|VerbForm=Fin`, `Case=Gen\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=3\|PrepCase=Npr\|PronType=Prs\|SubGender=Masc3\|Variant=Short`, `Aspect=Imp\|Mood=Ind\|Number=Sing\|POS=VERB\|Person=1\|Tense=Fut\|VerbForm=Fin`, `Aspect=Imp\|Mood=Imp\|Number=Plur\|POS=VERB\|Person=2\|VerbForm=Fin\|Voice=Act`, `Case=Gen\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Neg\|SubGender=Masc3`, `Case=Gen\|Degree=Cmp\|Gender=Masc\|Number=Sing\|POS=ADJ\|SubGender=Masc3`, `Case=Ins\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=2\|PronType=Prs\|SubGender=Masc1`, `Case=Gen\|Gender=Neut\|Number=Plur\|POS=PRON\|Person=3\|PrepCase=Npr\|PronType=Prs\|Variant=Long`, `Case=Ins\|POS=PRON\|PronType=Prs\|Reflex=Yes`, `Case=Acc\|Gender=Fem\|Number=Plur\|POS=DET\|PronType=Rel`, `Aspect=Imp\|Case=Gen\|Gender=Fem\|Number=Sing\|POS=ADJ\|Polarity=Pos\|VerbForm=Part\|Voice=Pass`, `Aspect=Perf\|Gender=Masc\|Mood=Ind\|Number=Sing\|POS=AUX\|SubGender=Masc1\|Tense=Past\|VerbForm=Fin\|Voice=Act`, `Case=Acc\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Dem\|SubGender=Masc2`, `Case=Acc\|Gender=Masc\|Number=Plur\|POS=NOUN\|SubGender=Masc2`, `Case=Nom\|Gender=Masc\|Number=Plur\|Number[psor]=Plur\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs\|SubGender=Masc1`, `Case=Loc\|Degree=Sup\|Gender=Fem\|Number=Sing\|POS=ADJ`, `Case=Loc\|Gender=Masc\|Number=Sing\|POS=NOUN\|SubGender=Masc2`, `Aspect=Imp\|Case=Nom\|Gender=Masc\|Number=Plur\|POS=ADJ\|Polarity=Pos\|SubGender=Masc1\|VerbForm=Part\|Voice=Pass`, `Case=Acc\|Gender=Masc\|Number=Plur\|POS=PRON\|Person=3\|PrepCase=Npr\|PronType=Prs\|SubGender=Masc2\|Variant=Long`, `Case=Ins\|Gender=Neut\|NumType=Card\|Number=Plur\|POS=DET\|PronType=Ind`, `Case=Loc\|Gender=Fem\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `POS=ADJ\|Variant=Short`, `Case=Nom\|Gender=Neut\|Number=Sing\|POS=DET\|PronType=Ind`, `Case=Acc\|Degree=Cmp\|Gender=Masc\|Number=Sing\|POS=ADJ\|SubGender=Masc3`, `Case=Ins\|Gender=Neut\|Number=Sing\|POS=PRON\|PronType=Rel`, `Aspect=Perf\|Case=Acc\|Gender=Masc\|Number=Sing\|POS=ADJ\|Polarity=Pos\|SubGender=Masc2\|VerbForm=Part\|Voice=Pass`, `Case=Dat\|Gender=Fem\|Number=Plur\|POS=DET\|PronType=Dem`, `Case=Gen\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Ind\|SubGender=Masc3`, `Case=Gen\|Gender=Fem\|Number=Plur\|POS=DET\|Poss=Yes\|PronType=Prs\|Reflex=Yes`, `Aspect=Perf\|Case=Acc\|Gender=Neut\|Number=Sing\|POS=ADJ\|Polarity=Pos\|VerbForm=Part\|Voice=Pass`, `Case=Nom\|Gender=Masc\|Number=Plur\|POS=PRON\|Person=3\|PrepCase=Npr\|PronType=Prs\|SubGender=Masc3\|Variant=Long`, `Case=Gen\|Gender=Neut\|Number=Sing\|POS=PRON\|PronType=Ind`, `Case=Ins\|Gender=Fem\|Number=Sing\|POS=PRON\|Person=1\|PronType=Prs`, `Case=Dat\|Gender=Masc\|Number=Plur\|POS=DET\|Poss=Yes\|PronType=Prs\|Reflex=Yes\|SubGender=Masc1`, `Case=Acc\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Dem\|SubGender=Masc3`, `Aspect=Imp\|Case=Loc\|Gender=Masc\|Number=Sing\|POS=ADJ\|Polarity=Pos\|SubGender=Masc3\|VerbForm=Part\|Voice=Pass`, `Case=Gen\|Gender=Masc\|NumType=Card\|Number=Plur\|POS=NUM\|SubGender=Masc1`, `Aspect=Perf\|Gender=Neut\|Mood=Ind\|Number=Plur\|POS=AUX\|Tense=Past\|VerbForm=Fin\|Voice=Act`, `Aspect=Perf\|Case=Nom\|Gender=Neut\|Number=Plur\|POS=ADJ\|Polarity=Pos\|VerbForm=Part\|Voice=Pass`, `Aspect=Perf\|Case=Acc\|Gender=Masc\|Number=Plur\|POS=ADJ\|Polarity=Pos\|SubGender=Masc3\|VerbForm=Part\|Voice=Pass`, `Case=Loc\|Gender=Masc\|Number=Sing\|Number[psor]=Plur\|POS=DET\|Person=2\|Poss=Yes\|PronType=Prs\|SubGender=Masc3`, `Case=Acc\|Gender=Masc\|Number=Plur\|Number[psor]=Plur\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs\|SubGender=Masc1`, `Case=Nom\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Int\|SubGender=Masc3`, `Aspect=Imp\|Case=Gen\|Gender=Masc\|Number=Sing\|POS=ADJ\|Polarity=Pos\|SubGender=Masc3\|VerbForm=Part\|Voice=Act`, `Aspect=Perf\|Case=Nom\|Gender=Masc\|Number=Sing\|POS=ADJ\|Polarity=Pos\|SubGender=Masc2\|VerbForm=Part\|Voice=Pass`, `Case=Loc\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Rel\|SubGender=Masc3`, `Aspect=Imp\|Case=Acc\|Gender=Neut\|Number=Plur\|POS=ADJ\|Polarity=Pos\|VerbForm=Part\|Voice=Act`, `Case=Gen\|Degree=Sup\|Gender=Masc\|Number=Plur\|POS=ADJ\|SubGender=Masc3`, `Case=Loc\|Gender=Fem\|Number=Plur\|POS=PRON\|Person=3\|PrepCase=Pre\|PronType=Prs\|Variant=Long`, `Case=Ins\|Gender=Neut\|Number=Plur\|POS=DET\|PronType=Dem`, `Case=Voc\|Gender=Fem\|Number=Sing\|POS=NOUN`, `Case=Nom\|Gender=Masc\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=2\|Poss=Yes\|PronType=Prs\|SubGender=Masc1`, `Case=Loc\|Gender=Masc\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=2\|Poss=Yes\|PronType=Prs\|SubGender=Masc3`, `Case=Dat\|Gender=Masc\|Number=Sing\|POS=PRON\|PronType=Int\|SubGender=Masc1`, `Aspect=Perf\|Case=Ins\|Gender=Neut\|Number=Sing\|POS=ADJ\|Polarity=Pos\|VerbForm=Part\|Voice=Pass`, `Case=Dat\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=3\|PrepCase=Npr\|PronType=Prs\|SubGender=Masc2\|Variant=Short`, `Case=Gen\|Gender=Neut\|Number=Plur\|Number[psor]=Plur\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Case=Loc\|Gender=Fem\|Number=Plur\|POS=DET\|Poss=Yes\|PronType=Prs\|Reflex=Yes`, `Case=Gen\|Gender=Neut\|Number=Sing\|POS=DET\|Poss=Yes\|PronType=Prs\|Reflex=Yes`, `Case=Gen\|Degree=Cmp\|Gender=Neut\|Number=Sing\|POS=ADJ`, `Case=Acc\|Gender=Masc\|NumType=Card\|Number=Plur\|POS=DET\|PronType=Dem\|SubGender=Masc1`, `Case=Ins\|Degree=Cmp\|Gender=Neut\|Number=Sing\|POS=ADJ`, `Aspect=Imp\|Case=Nom\|Gender=Masc\|Number=Plur\|POS=ADJ\|Polarity=Pos\|SubGender=Masc3\|VerbForm=Part\|Voice=Act`, `Case=Voc\|Gender=Masc\|Number=Sing\|POS=NOUN\|SubGender=Masc3`, `Case=Voc\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=ADJ\|SubGender=Masc3`, `Case=Loc\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=1\|PronType=Prs\|SubGender=Masc1`, `Case=Ins\|Gender=Masc\|Number=Sing\|POS=PROPN\|SubGender=Masc2`, `Case=Ins\|Emphatic=Yes\|Gender=Neut\|Number=Sing\|POS=PRON\|PronType=Int`, `Aspect=Imp\|Case=Nom\|Gender=Masc\|Number=Sing\|POS=ADJ\|Polarity=Pos\|SubGender=Masc2\|VerbForm=Part\|Voice=Pass`, `Aspect=Perf\|Case=Gen\|Gender=Fem\|Number=Plur\|POS=ADJ\|Polarity=Pos\|VerbForm=Part\|Voice=Pass`, `Case=Loc\|Gender=Fem\|NumType=Card\|Number=Plur\|POS=DET\|PronType=Ind`, `Case=Nom\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Dem\|SubGender=Masc2`, `Case=Gen\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Dem\|SubGender=Masc1`, `Case=Acc\|Gender=Fem\|Number=Sing\|POS=PRON\|Person=2\|PronType=Prs\|Variant=Long`, `Case=Acc\|Degree=Sup\|Gender=Masc\|Number=Sing\|POS=ADJ\|SubGender=Masc3`, `Case=Nom\|Gender=Masc\|NumType=Card\|Number=Plur\|POS=NUM\|SubGender=Masc3`, `Aspect=Perf\|Case=Nom\|Gender=Fem\|Number=Sing\|POS=ADJ\|Polarity=Neg\|VerbForm=Part\|Voice=Pass`, `Case=Gen\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=3\|PrepCase=Npr\|PronType=Prs\|SubGender=Masc2\|Variant=Long`, `Aspect=Perf\|Case=Acc\|Gender=Neut\|Number=Plur\|POS=ADJ\|Polarity=Pos\|VerbForm=Part\|Voice=Pass`, `Aspect=Imp\|Gender=Masc\|Mood=Ind\|Number=Plur\|POS=VERB\|SubGender=Masc1\|Tense=Pres\|VerbForm=Fin\|Voice=Act`, `Case=Ins\|Gender=Masc\|Number=Sing\|POS=DET\|Poss=Yes\|PronType=Prs\|Reflex=Yes\|SubGender=Masc3`, `Case=Acc\|Degree=Sup\|Gender=Fem\|Number=Sing\|POS=ADJ`, `Case=Ins\|Gender=Neut\|Number=Sing\|POS=DET\|PronType=Dem`, `Case=Ins\|Gender=Masc\|Number=Plur\|Number[psor]=Sing\|POS=DET\|Person=2\|Poss=Yes\|PronType=Prs\|SubGender=Masc1`, `Case=Acc\|Gender=Neut\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=2\|Poss=Yes\|PronType=Prs`, `Case=Gen\|Gender=Fem\|Number=Sing\|POS=PRON\|Person=2\|PronType=Prs\|Variant=Long`, `Aspect=Imp\|Case=Loc\|Gender=Neut\|Number=Sing\|POS=ADJ\|Polarity=Pos\|VerbForm=Part\|Voice=Pass`, `Case=Acc\|Gender=Masc\|Number=Plur\|POS=PROPN\|SubGender=Masc1`, `Case=Ins\|Gender=Masc\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs\|SubGender=Masc1`, `Case=Gen\|Gender=Masc\|Number=Plur\|Number[psor]=Sing\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs\|SubGender=Masc1`, `Case=Nom\|Gender=Masc\|Number=Sing\|POS=PROPN\|SubGender=Masc2`, `Case=Nom\|Gender=Masc\|Number=Plur\|Number[psor]=Plur\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs\|SubGender=Masc3`, `Case=Nom\|Gender=Neut\|Number=Sing\|POS=PRON\|Person=3\|PrepCase=Npr\|PronType=Prs\|Variant=Long`, `Case=Gen\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Dem\|SubGender=Masc2`, `Case=Gen\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Tot\|SubGender=Masc1`, `Aspect=Perf\|Mood=Ind\|Number=Sing\|POS=AUX\|Person=1\|Tense=Fut\|VerbForm=Fin\|Voice=Act`, `Case=Ins\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Ind\|SubGender=Masc3`, `Case=Dat\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=ADJ\|SubGender=Masc1`, `Case=Nom\|Gender=Neut\|Number=Plur\|POS=DET\|PronType=Ind`, `Case=Nom\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Ind\|SubGender=Masc3`, `Case=Loc\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Tot\|SubGender=Masc3`, `Aspect=Perf\|Case=Dat\|Gender=Neut\|Number=Sing\|POS=NOUN\|Polarity=Pos\|VerbForm=Vnoun`, `Case=Dat\|Gender=Neut\|Number=Sing\|POS=NOUN`, `Case=Ins\|Degree=Pos\|Gender=Masc\|Number=Plur\|POS=ADJ\|SubGender=Masc2`, `Case=Ins\|Gender=Masc\|Number=Plur\|POS=NOUN\|SubGender=Masc2`, `Case=Nom\|Gender=Masc\|Number=Plur\|POS=PRON\|PronType=Tot\|SubGender=Masc1`, `Case=Acc\|Gender=Neut\|Number=Plur\|POS=DET\|PronType=Tot`, `Case=Acc\|Gender=Neut\|Number=Plur\|POS=DET\|Poss=Yes\|PronType=Prs\|Reflex=Yes`, `Aspect=Perf\|Case=Loc\|Gender=Fem\|Number=Sing\|POS=ADJ\|Polarity=Pos\|VerbForm=Part\|Voice=Pass`, `Case=Nom\|Gender=Masc\|Number=Sing\|POS=DET\|Poss=Yes\|PronType=Int\|SubGender=Masc1`, `Emphatic=Yes\|POS=PART\|PartType=Int`, `Case=Acc\|Gender=Masc\|Number=Plur\|POS=PRON\|Person=3\|PrepCase=Pre\|PronType=Prs\|SubGender=Masc1\|Variant=Long`, `Case=Nom\|Gender=Fem\|Number=Plur\|POS=DET\|PronType=Ind`, `Case=Ins\|Degree=Pos\|Gender=Neut\|Number=Plur\|POS=ADJ`, `Case=Nom\|Degree=Cmp\|Gender=Masc\|Number=Sing\|POS=ADJ\|SubGender=Masc3`, `Case=Loc\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=3\|PrepCase=Pre\|PronType=Prs\|SubGender=Masc1\|Variant=Long`, `Case=Nom\|Degree=Cmp\|Gender=Masc\|Number=Plur\|POS=ADJ\|SubGender=Masc3`, `Aspect=Perf\|Case=Ins\|Gender=Fem\|Number=Sing\|POS=ADJ\|Polarity=Pos\|VerbForm=Part\|Voice=Pass`, `Case=Gen\|Gender=Masc\|Number=Plur\|POS=PRON\|Person=3\|PrepCase=Pre\|PronType=Prs\|SubGender=Masc1\|Variant=Long`, `Case=Nom\|Emphatic=Yes\|Gender=Neut\|Number=Sing\|POS=PRON\|PronType=Int`, `Case=Nom\|Gender=Fem\|Number=Plur\|POS=DET\|PronType=Rel`, `Aspect=Perf\|Mood=Imp\|Number=Plur\|POS=VERB\|Person=2\|VerbForm=Fin\|Voice=Act`, `Case=Dat\|Degree=Pos\|Gender=Fem\|Number=Plur\|POS=ADJ`, `Case=Loc\|Gender=Masc\|Number=Sing\|Number[psor]=Plur\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs\|SubGender=Masc3`, `Case=Ins\|Gender=Fem\|Number=Sing\|POS=DET\|Poss=Yes\|PronType=Prs\|Reflex=Yes`, `Case=Loc\|Degree=Pos\|Gender=Masc\|Number=Plur\|POS=ADJ\|SubGender=Masc1`, `Case=Loc\|Gender=Masc\|Number=Plur\|POS=NOUN\|SubGender=Masc1`, `Case=Acc\|Degree=Sup\|Gender=Masc\|Number=Sing\|POS=ADJ\|SubGender=Masc1`, `Aspect=Perf\|Case=Ins\|Gender=Masc\|Number=Plur\|POS=ADJ\|Polarity=Pos\|SubGender=Masc1\|VerbForm=Part\|Voice=Pass`, `Case=Dat\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=ADJ\|SubGender=Masc3`, `Case=Acc\|Gender=Fem\|Number=Plur\|POS=DET\|PronType=Int`, `Case=Gen\|Degree=Cmp\|Gender=Fem\|Number=Sing\|POS=ADJ`, `Case=Gen\|Gender=Masc\|NumType=Card\|Number=Plur\|POS=DET\|PronType=Ind\|SubGender=Masc1`, `Case=Dat\|Gender=Masc\|Number=Plur\|POS=PRON\|PronType=Tot\|SubGender=Masc1`, `Case=Gen\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Ind\|SubGender=Masc1`, `Case=Gen\|Degree=Sup\|Gender=Fem\|Number=Sing\|POS=ADJ`, `Aspect=Imp\|Case=Ins\|Gender=Masc\|Number=Plur\|POS=ADJ\|Polarity=Pos\|SubGender=Masc1\|VerbForm=Part\|Voice=Act`, `Aspect=Imp\|Case=Gen\|Gender=Masc\|Number=Plur\|POS=ADJ\|Polarity=Pos\|SubGender=Masc3\|VerbForm=Part\|Voice=Pass`, `Case=Nom\|Degree=Sup\|Gender=Fem\|Number=Plur\|POS=ADJ`, `Case=Ins\|Gender=Masc\|NumType=Card\|Number=Plur\|POS=DET\|PronType=Ind\|SubGender=Masc1`, `Case=Gen\|Gender=Masc\|NumType=Card\|Number=Plur\|POS=DET\|PronType=Ind\|SubGender=Masc3`, `Case=Gen\|Gender=Neut\|Number=Plur\|POS=DET\|PronType=Int`, `Case=Gen\|Gender=Masc\|Number=Sing\|POS=PRON\|PronType=Int\|SubGender=Masc1`, `Case=Gen\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Neg\|SubGender=Masc1`, `Case=Nom\|Gender=Fem\|Number=Plur\|POS=PROPN`, `Case=Gen\|Gender=Neut\|Number=Sing\|POS=DET\|PronType=Int`, `Aspect=Perf\|Case=Ins\|Gender=Neut\|Number=Plur\|POS=ADJ\|Polarity=Pos\|VerbForm=Part\|Voice=Pass`, `Case=Gen\|Gender=Fem\|Number=Sing\|Number[psor]=Plur\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Aspect=Imp\|Case=Nom\|Gender=Neut\|Number=Plur\|POS=ADJ\|Polarity=Pos\|VerbForm=Part\|Voice=Pass`, `Case=Gen\|Gender=Masc\|Number=Sing\|POS=PRON\|PronType=Neg\|SubGender=Masc1`, `Aspect=Imp\|Case=Gen\|Gender=Masc\|Number=Sing\|POS=ADJ\|Polarity=Pos\|SubGender=Masc1\|VerbForm=Part\|Voice=Act`, `Aspect=Imp\|Case=Acc\|Gender=Fem\|Number=Sing\|POS=ADJ\|Polarity=Pos\|VerbForm=Part\|Voice=Pass`, `Aspect=Perf\|Case=Acc\|Gender=Fem\|Number=Sing\|POS=ADJ\|Polarity=Pos\|VerbForm=Part\|Voice=Pass`, `Case=Voc\|Gender=Masc\|Number=Sing\|Number[psor]=Plur\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs\|SubGender=Masc1`, `Case=Voc\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=ADJ\|SubGender=Masc1`, `Case=Nom\|Degree=Cmp\|Gender=Fem\|Number=Plur\|POS=ADJ`, `Aspect=Perf\|Mood=Imp\|Number=Plur\|POS=VERB\|Person=1\|VerbForm=Fin\|Voice=Act`, `Aspect=Perf\|Gender=Neut\|Mood=Ind\|Number=Sing\|POS=AUX\|Tense=Past\|VerbForm=Fin\|Voice=Act`, `Case=Acc\|Gender=Masc\|Number=Sing\|POS=PRON\|PronType=Int\|SubGender=Masc1`, `Case=Loc\|Gender=Fem\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=2\|Poss=Yes\|PronType=Prs`, `Case=Acc\|Degree=Sup\|Gender=Fem\|Number=Plur\|POS=ADJ`, `Case=Gen\|Gender=Masc\|Number=Sing\|POS=DET\|Poss=Yes\|PronType=Prs\|Reflex=Yes\|SubGender=Masc3`, `Case=Acc\|Gender=Masc\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=2\|Poss=Yes\|PronType=Prs\|SubGender=Masc3`, `Case=Acc\|Gender=Neut\|Number=Sing\|POS=PRON\|Person=3\|PrepCase=Npr\|PronType=Prs\|Variant=Long`, `Case=Nom\|Gender=Neut\|Number=Plur\|Number[psor]=Sing\|POS=DET\|Person=2\|Poss=Yes\|PronType=Prs`, `Aspect=Imp\|Case=Acc\|Gender=Masc\|Number=Sing\|POS=ADJ\|Polarity=Pos\|SubGender=Masc2\|VerbForm=Part\|Voice=Act`, `Case=Ins\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Rel\|SubGender=Masc3`, `Case=Nom\|Gender=Fem\|Number=Plur\|POS=PRON\|Person=3\|PrepCase=Npr\|PronType=Prs\|Variant=Long`, `Case=Acc\|Gender=Masc\|Number=Sing\|POS=DET\|Poss=Yes\|PronType=Prs\|Reflex=Yes\|SubGender=Masc3`, `Case=Gen\|Gender=Neut\|Number=Sing\|POS=PRON\|Person=3\|PrepCase=Pre\|PronType=Prs\|Variant=Long`, `Aspect=Imp\|Gender=Neut\|Mood=Ind\|Number=Plur\|POS=AUX\|Tense=Past\|VerbForm=Fin\|Voice=Act`, `Aspect=Perf\|Case=Gen\|Gender=Masc\|Number=Plur\|POS=ADJ\|Polarity=Pos\|SubGender=Masc3\|VerbForm=Part\|Voice=Pass`, `Aspect=Perf\|Case=Loc\|Gender=Masc\|Number=Sing\|POS=ADJ\|Polarity=Pos\|SubGender=Masc3\|VerbForm=Part\|Voice=Pass`, `Aspect=Imp\|Case=Nom\|Gender=Fem\|Number=Plur\|POS=ADJ\|Polarity=Pos\|VerbForm=Part\|Voice=Act`, `Case=Acc\|Gender=Neut\|Number=Sing\|POS=PRON\|Person=3\|PrepCase=Pre\|PronType=Prs\|Variant=Long`, `Case=Loc\|Gender=Fem\|Number=Sing\|POS=DET\|PronType=Neg`, `Case=Gen\|Gender=Fem\|Number=Sing\|POS=DET\|PronType=Neg`, `Case=Nom\|Gender=Neut\|Number=Plur\|POS=PRON\|Person=3\|PrepCase=Npr\|PronType=Prs\|Variant=Long`, `Case=Ins\|Gender=Masc\|NumType=Card\|Number=Plur\|POS=NUM\|SubGender=Masc3`, `Case=Ins\|Gender=Fem\|NumType=Card\|Number=Plur\|POS=NUM`, `Aspect=Imp\|Case=Acc\|Gender=Masc\|Number=Plur\|POS=ADJ\|Polarity=Pos\|SubGender=Masc3\|VerbForm=Part\|Voice=Pass`, `Case=Loc\|Gender=Masc\|Number=Sing\|POS=PROPN\|SubGender=Masc2`, `Case=Nom\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Ind\|SubGender=Masc1`, `Case=Loc\|Gender=Neut\|Number=Plur\|POS=DET\|PronType=Dem`, `Case=Nom\|Gender=Fem\|Number=Sing\|POS=DET\|PronType=Neg`, `Case=Loc\|Gender=Fem\|Number=Sing\|POS=DET\|PronType=Ind`, `Case=Loc\|Degree=Cmp\|Gender=Masc\|Number=Sing\|POS=ADJ\|SubGender=Masc3`, `Case=Acc\|Gender=Masc\|Number=Plur\|POS=DET\|Poss=Yes\|PronType=Prs\|Reflex=Yes\|SubGender=Masc1`, `Aspect=Imp\|Case=Dat\|Gender=Neut\|Number=Sing\|POS=NOUN\|Polarity=Pos\|VerbForm=Vnoun`, `Case=Dat\|Gender=Fem\|Number=Sing\|POS=PRON\|Person=3\|PrepCase=Pre\|PronType=Prs\|Variant=Long`, `Case=Dat\|Gender=Masc\|Number=Plur\|POS=PRON\|Person=3\|PrepCase=Pre\|PronType=Prs\|SubGender=Masc3\|Variant=Long`, `Case=Loc\|Gender=Fem\|Number=Sing\|POS=DET\|PronType=Tot`, `Aspect=Perf\|POS=AUX\|VerbForm=Inf\|Voice=Act`, `Case=Voc\|Gender=Fem\|Number=Sing\|POS=PROPN`, `Case=Ins\|Gender=Masc\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs\|SubGender=Masc3`, `Aspect=Imp\|Case=Acc\|Gender=Fem\|Number=Sing\|POS=ADJ\|Polarity=Pos\|VerbForm=Part\|Voice=Act`, `Case=Ins\|Gender=Fem\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=2\|Poss=Yes\|PronType=Prs`, `Case=Gen\|Gender=Neut\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=2\|Poss=Yes\|PronType=Prs`, `Case=Nom\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Ind\|SubGender=Masc1`, `Aspect=Imp\|Case=Dat\|Gender=Masc\|Number=Sing\|POS=ADJ\|Polarity=Pos\|SubGender=Masc1\|VerbForm=Part\|Voice=Act`, `Case=Acc\|Degree=Cmp\|Gender=Masc\|Number=Plur\|POS=ADJ\|SubGender=Masc1`, `Case=Gen\|Gender=Neut\|Number=Plur\|POS=DET\|PronType=Dem`, `Case=Ins\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Rel\|SubGender=Masc1`, `Aspect=Imp\|Case=Nom\|Gender=Masc\|Number=Sing\|POS=ADJ\|Polarity=Pos\|SubGender=Masc1\|VerbForm=Part\|Voice=Act`, `Case=Loc\|Degree=Sup\|Gender=Masc\|Number=Sing\|POS=ADJ\|SubGender=Masc3`, `Case=Dat\|Gender=Neut\|Number=Sing\|POS=PROPN`, `Aspect=Imp\|Gender=Masc\|Mood=Ind\|Number=Plur\|POS=VERB\|SubGender=Masc2\|Tense=Past\|VerbForm=Fin\|Voice=Act`, `Aspect=Perf\|Case=Ins\|Gender=Masc\|Number=Plur\|POS=ADJ\|Polarity=Pos\|SubGender=Masc3\|VerbForm=Part\|Voice=Pass`, `Case=Acc\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Ind\|SubGender=Masc3`, `Case=Nom\|Gender=Masc\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs\|SubGender=Masc2`, `Case=Nom\|Gender=Masc\|Number=Plur\|POS=DET\|Poss=Yes\|PronType=Ind\|SubGender=Masc3`, `Emphatic=Yes\|POS=ADV\|PronType=Int`, `Case=Acc\|Gender=Masc\|NumType=Card\|Number=Plur\|POS=DET\|PronType=Dem\|SubGender=Masc3`, `Aspect=Perf\|POS=VERB\|Tense=Past\|VerbForm=Conv\|Voice=Act`, `Case=Ins\|Gender=Masc\|NumType=Card\|Number=Plur\|POS=NUM\|SubGender=Masc2`, `Aspect=Perf\|Case=Loc\|Gender=Masc\|Number=Plur\|POS=ADJ\|Polarity=Pos\|SubGender=Masc3\|VerbForm=Part\|Voice=Pass`, `Case=Acc\|Gender=Fem\|Number=Plur\|POS=DET\|Poss=Yes\|PronType=Prs\|Reflex=Yes`, `Case=Acc\|Degree=Pos\|Gender=Masc\|Number=Plur\|POS=ADJ\|SubGender=Masc2`, `Aspect=Imp\|Gender=Masc\|Mood=Ind\|Number=Plur\|POS=VERB\|SubGender=Masc3\|Tense=Pres\|VerbForm=Fin\|Voice=Act`, `Aspect=Imp\|Case=Nom\|Gender=Neut\|Number=Sing\|POS=ADJ\|Polarity=Pos\|VerbForm=Part\|Voice=Pass`, `Aspect=Perf\|Gender=Masc\|Mood=Ind\|Number=Sing\|POS=AUX\|SubGender=Masc2\|Tense=Past\|VerbForm=Fin\|Voice=Act`, `Aspect=Imp\|Mood=Ind\|Number=Plur\|POS=AUX\|Person=2\|Tense=Pres\|VerbForm=Fin\|Voice=Act`, `Case=Dat\|Gender=Fem\|Number=Sing\|POS=DET\|PronType=Int`, `Case=Nom\|Gender=Masc\|Number=Sing\|Number[psor]=Plur\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs\|SubGender=Masc1`, `Case=Loc\|Gender=Neut\|Number=Plur\|Number[psor]=Plur\|POS=DET\|Person=2\|Poss=Yes\|PronType=Prs`, `Case=Ins\|Gender=Masc\|Number=Sing\|POS=PRON\|PronType=Int\|SubGender=Masc1`, `Case=Acc\|Gender=Neut\|Number=Plur\|POS=PRON\|Person=3\|PrepCase=Pre\|PronType=Prs\|Variant=Long`, `Case=Gen\|Gender=Masc\|Number=Plur\|POS=PRON\|Person=3\|PrepCase=Npr\|PronType=Prs\|SubGender=Masc2\|Variant=Long`, `Case=Dat\|Gender=Neut\|Number=Sing\|POS=DET\|PronType=Dem`, `Case=Ins\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Tot\|SubGender=Masc3`, `Case=Gen\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Dem\|SubGender=Masc1`, `Case=Nom\|Gender=Neut\|Number=Plur\|POS=DET\|PronType=Dem`, `Case=Nom\|Degree=Sup\|Gender=Fem\|Number=Sing\|POS=ADJ`, `Case=Gen\|Gender=Masc\|Number=Sing\|Number[psor]=Plur\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs\|SubGender=Masc3`, `Case=Nom\|Gender=Masc\|Number=Plur\|Number[psor]=Sing\|POS=DET\|Person=2\|Poss=Yes\|PronType=Prs\|SubGender=Masc3`, `Case=Acc\|Gender=Masc\|NumType=Frac\|Number=Plur\|POS=NUM\|SubGender=Masc3`, `Case=Dat\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Tot\|SubGender=Masc3`, `Case=Acc\|Gender=Neut\|Number=Plur\|POS=DET\|PronType=Ind`, `Case=Gen\|Gender=Fem\|Number=Plur\|POS=PRON\|Person=3\|PrepCase=Npr\|PronType=Prs\|Variant=Long`, `Case=Ins\|Gender=Fem\|Number=Plur\|POS=PRON\|Person=3\|PrepCase=Pre\|PronType=Prs\|Variant=Long`, `Case=Acc\|Gender=Fem\|NumType=Card\|Number=Plur\|POS=DET\|PronType=Int`, `Case=Acc\|Gender=Masc\|NumType=Card\|Number=Plur\|POS=DET\|PronType=Int\|SubGender=Masc1`, `Case=Nom\|Gender=Neut\|Number=Plur\|POS=PROPN`, `Case=Gen\|Gender=Masc\|Number=Plur\|POS=PRON\|PronType=Tot\|SubGender=Masc1`, `Aspect=Imp\|Case=Gen\|Gender=Masc\|Number=Plur\|POS=ADJ\|Polarity=Pos\|SubGender=Masc3\|VerbForm=Part\|Voice=Act`, `Case=Gen\|Gender=Neut\|Number=Plur\|POS=DET\|PronType=Rel`, `Case=Acc\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Neg\|SubGender=Masc3`, `Agglutination=Nagl\|Aspect=Perf\|Gender=Masc\|Mood=Ind\|Number=Sing\|POS=VERB\|SubGender=Masc3\|Tense=Past\|VerbForm=Fin\|Voice=Act`, `Case=Dat\|Gender=Neut\|Number=Plur\|POS=PRON\|Person=3\|PrepCase=Npr\|PronType=Prs\|Variant=Long`, `Case=Dat\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Tot\|SubGender=Masc1`, `Case=Ins\|Gender=Fem\|Number=Plur\|POS=DET\|PronType=Dem`, `Case=Loc\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Tot\|SubGender=Masc1`, `Case=Loc\|Gender=Fem\|Number=Plur\|POS=DET\|PronType=Dem`, `Case=Loc\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Tot\|SubGender=Masc3`, `Case=Acc\|Gender=Masc\|NumType=Card\|Number=Plur\|POS=DET\|PronType=Ind\|SubGender=Masc2`, `Case=Ins\|Gender=Masc\|Number=Plur\|POS=PRON\|Person=3\|PrepCase=Pre\|PronType=Prs\|SubGender=Masc2\|Variant=Long`, `Case=Nom\|Gender=Neut\|Number=Plur\|Number[psor]=Sing\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Case=Acc\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=3\|PrepCase=Npr\|PronType=Prs\|SubGender=Masc2\|Variant=Short`, `Case=Ins\|Gender=Masc\|Number=Plur\|POS=PRON\|Person=2\|PronType=Prs\|SubGender=Masc1`, `Aspect=Perf\|Mood=Ind\|Number=Plur\|POS=VERB\|Person=2\|Tense=Fut\|VerbForm=Fin\|Voice=Act`, `Case=Ins\|Gender=Neut\|Number=Sing\|POS=PROPN`, `Case=Nom\|Gender=Masc\|Number=Sing\|Number[psor]=Plur\|POS=DET\|Person=2\|Poss=Yes\|PronType=Prs\|SubGender=Masc3`, `Aspect=Imp\|Case=Acc\|Gender=Masc\|Number=Plur\|POS=ADJ\|Polarity=Pos\|SubGender=Masc3\|VerbForm=Part\|Voice=Act`, `Case=Nom\|Gender=Fem\|Number=Sing\|Number[psor]=Plur\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Case=Gen\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Int\|SubGender=Masc3`, `Case=Nom\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Int\|SubGender=Masc3`, `Case=Nom\|Gender=Neut\|Number=Plur\|POS=DET\|PronType=Int`, `Case=Nom\|Gender=Neut\|Number=Sing\|POS=DET\|PronType=Int`, `Case=Nom\|Gender=Fem\|Number=Plur\|POS=DET\|PronType=Int`, `Case=Acc\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Int\|SubGender=Masc3`, `Case=Gen\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Int\|SubGender=Masc3`, `Case=Gen\|Gender=Fem\|Number=Sing\|POS=DET\|PronType=Int`, `Case=Ins\|Gender=Neut\|Number=Sing\|POS=DET\|PronType=Int`, `Case=Nom\|Emphatic=Yes\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Int\|SubGender=Masc3`, `Case=Gen\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=2\|PronType=Prs\|SubGender=Masc2\|Variant=Long`, `Case=Acc\|Gender=Fem\|Number=Sing\|POS=DET\|PronType=Int`, `Aspect=Imp\|Case=Ins\|Gender=Masc\|Number=Sing\|POS=ADJ\|Polarity=Pos\|SubGender=Masc1\|VerbForm=Part\|Voice=Act`, `Case=Gen\|Degree=Pos\|Gender=Masc\|Number=Plur\|POS=ADJ\|SubGender=Masc2`, `Case=Gen\|Gender=Masc\|NumType=Card\|Number=Plur\|POS=NUM\|SubGender=Masc2`, `Case=Acc\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=3\|PrepCase=Npr\|PronType=Prs\|SubGender=Masc1\|Variant=Long`, `Case=Loc\|Gender=Fem\|Number=Sing\|POS=PRON\|Person=2\|PronType=Prs`, `Aspect=Perf\|Case=Ins\|Gender=Masc\|Number=Sing\|POS=ADJ\|Polarity=Pos\|SubGender=Masc1\|VerbForm=Part\|Voice=Pass`, `Case=Loc\|Gender=Masc\|Number=Sing\|POS=DET\|Poss=Yes\|PronType=Prs\|Reflex=Yes\|SubGender=Masc3`, `Aspect=Imp\|Case=Gen\|Gender=Fem\|Number=Plur\|POS=ADJ\|Polarity=Neg\|VerbForm=Part\|Voice=Pass`, `Case=Loc\|Gender=Fem\|Number=Sing\|POS=DET\|PronType=Rel`, `Case=Gen\|Gender=Neut\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Case=Gen\|Gender=Fem\|Number=Sing\|POS=PRON\|Person=2\|PronType=Prs\|Variant=Short`, `Case=Gen\|Gender=Masc\|Number=Sing\|POS=PRON\|PronType=Ind\|SubGender=Masc1`, `Case=Acc\|Gender=Fem\|Number=Plur\|POS=PRON\|Person=3\|PrepCase=Pre\|PronType=Prs\|Variant=Long`, `POS=PART\|Variant=Short`, `Case=Acc\|Gender=Fem\|NumType=Frac\|Number=Plur\|POS=NUM`, `Case=Gen\|Gender=Fem\|Number=Plur\|Number[psor]=Plur\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Case=Nom\|Gender=Fem\|Number=Plur\|Number[psor]=Sing\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Case=Nom\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Ind\|SubGender=Masc2`, `Case=Ins\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=3\|PrepCase=Pre\|PronType=Prs\|SubGender=Masc3\|Variant=Long`, `Case=Dat\|Gender=Masc\|Number=Plur\|POS=PROPN\|SubGender=Masc1`, `Case=Loc\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=2\|PronType=Prs\|SubGender=Masc1`, `Aspect=Perf\|Case=Ins\|Gender=Fem\|Number=Plur\|POS=ADJ\|Polarity=Pos\|VerbForm=Part\|Voice=Pass`, `Case=Acc\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Tot\|SubGender=Masc3`, `Case=Dat\|Gender=Fem\|NumType=Card\|Number=Plur\|POS=DET\|PronType=Ind`, `Agglutination=Agl\|Aspect=Perf\|Gender=Masc\|Mood=Ind\|Number=Sing\|POS=VERB\|SubGender=Masc1\|Tense=Past\|VerbForm=Fin\|Voice=Act`, `Case=Loc\|Gender=Neut\|Number=Plur\|POS=DET\|Poss=Yes\|PronType=Prs\|Reflex=Yes`, `Case=Nom\|Gender=Fem\|Number=Sing\|POS=DET\|PronType=Tot`, `Case=Nom\|Gender=Neut\|Number=Sing\|POS=DET\|PronType=Tot`, `Case=Acc\|Gender=Neut\|Number=Sing\|POS=DET\|PronType=Tot`, `Case=Ins\|Degree=Sup\|Gender=Masc\|Number=Sing\|POS=ADJ\|SubGender=Masc1`, `Case=Nom\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Tot\|SubGender=Masc3`, `Case=Ins\|Gender=Neut\|Number=Sing\|POS=DET\|Poss=Yes\|PronType=Prs\|Reflex=Yes`, `Case=Acc\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Tot\|SubGender=Masc3`, `Case=Gen\|Gender=Fem\|Number=Plur\|POS=DET\|PronType=Ind`, `Case=Acc\|Gender=Fem\|Number=Plur\|Number[psor]=Plur\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Case=Ins\|Gender=Masc\|Number=Plur\|Number[psor]=Sing\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs\|SubGender=Masc1`, `Case=Acc\|Degree=Cmp\|Gender=Neut\|Number=Plur\|POS=ADJ`, `Case=Acc\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Tot\|SubGender=Masc1`, `Case=Ins\|Emphatic=Yes\|Gender=Masc\|Number=Sing\|POS=PRON\|PronType=Int\|SubGender=Masc1`, `Aspect=Perf\|Case=Acc\|Gender=Fem\|Number=Plur\|POS=ADJ\|Polarity=Pos\|VerbForm=Part\|Voice=Pass`, `Aspect=Perf\|Case=Gen\|Gender=Masc\|Number=Sing\|POS=ADJ\|Polarity=Pos\|SubGender=Masc1\|VerbForm=Part\|Voice=Pass`, `Aspect=Imp\|Mood=Imp\|Number=Plur\|POS=AUX\|Person=2\|VerbForm=Fin\|Voice=Act`, `Aspect=Imp\|Case=Acc\|Gender=Masc\|Number=Plur\|POS=ADJ\|Polarity=Pos\|SubGender=Masc1\|VerbForm=Part\|Voice=Act`, `Case=Acc\|Emphatic=Yes\|Gender=Masc\|Number=Sing\|POS=PRON\|PronType=Int\|SubGender=Masc1`, `Case=Acc\|Gender=Neut\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Case=Acc\|Gender=Masc\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs\|SubGender=Masc3`, `Case=Dat\|Gender=Masc\|Number=Sing\|POS=NOUN\|SubGender=Masc2`, `Case=Ins\|Degree=Cmp\|Gender=Masc\|Number=Sing\|POS=ADJ\|SubGender=Masc1`, `Case=Dat\|Gender=Fem\|Number=Plur\|POS=DET\|PronType=Tot`, `Case=Gen\|Gender=Masc\|Number=Plur\|POS=PRON\|Person=3\|PrepCase=Pre\|PronType=Prs\|SubGender=Masc3\|Variant=Long`, `Case=Dat\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Dem\|SubGender=Masc1`, `Aspect=Imp\|Case=Dat\|Gender=Fem\|Number=Sing\|POS=ADJ\|Polarity=Pos\|VerbForm=Part\|Voice=Act`, `Case=Dat\|Degree=Pos\|Gender=Masc\|Number=Plur\|POS=ADJ\|SubGender=Masc1`, `Aspect=Imp\|Case=Acc\|Gender=Masc\|Number=Sing\|POS=ADJ\|Polarity=Pos\|SubGender=Masc1\|VerbForm=Part\|Voice=Act`, `Aspect=Imp\|Gender=Fem\|Mood=Ind\|Number=Plur\|POS=VERB\|Tense=Pres\|VerbForm=Fin\|Voice=Act`, `Case=Loc\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=ADJ\|SubGender=Masc1`, `Case=Acc\|Gender=Fem\|Number=Sing\|POS=DET\|PronType=Neg`, `Case=Dat\|Degree=Pos\|Gender=Neut\|Number=Plur\|POS=ADJ`, `Aspect=Imp\|Case=Acc\|Gender=Fem\|Number=Plur\|POS=ADJ\|Polarity=Pos\|VerbForm=Part\|Voice=Pass`, `Case=Acc\|Gender=Neut\|Number=Sing\|Number[psor]=Plur\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Case=Gen\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Rel\|SubGender=Masc3`, `Case=Gen\|Gender=Fem\|NumType=Card\|Number=Plur\|POS=DET\|PronType=Dem`, `Case=Acc\|Degree=Cmp\|Gender=Masc\|Number=Sing\|POS=ADJ\|SubGender=Masc1`, `Case=Gen\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Rel\|SubGender=Masc3`, `Aspect=Perf\|Case=Gen\|Gender=Neut\|Number=Sing\|POS=ADJ\|Polarity=Pos\|VerbForm=Part\|Voice=Pass`, `Case=Ins\|Gender=Neut\|Number=Plur\|POS=DET\|Poss=Yes\|PronType=Prs\|Reflex=Yes`, `Case=Loc\|Degree=Sup\|Gender=Fem\|Number=Plur\|POS=ADJ`, `Aspect=Perf\|Case=Gen\|Gender=Masc\|Number=Sing\|POS=ADJ\|Polarity=Pos\|SubGender=Masc3\|VerbForm=Part\|Voice=Pass`, `Case=Acc\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=1\|PronType=Prs\|SubGender=Masc1\|Variant=Short`, `Case=Gen\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Tot\|SubGender=Masc1`, `Case=Ins\|Gender=Fem\|Number=Plur\|POS=DET\|Poss=Yes\|PronType=Prs\|Reflex=Yes`, `Aspect=Imp\|Case=Gen\|Gender=Masc\|Number=Plur\|POS=ADJ\|Polarity=Neg\|SubGender=Masc1\|VerbForm=Part\|Voice=Act`, `Case=Gen\|Gender=Neut\|Number=Sing\|POS=PRON\|Person=3\|PrepCase=Npr\|PronType=Prs\|Variant=Short`, `Case=Loc\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Ind\|SubGender=Masc3`, `Case=Acc\|Gender=Fem\|NumType=Card\|Number=Plur\|POS=DET\|PronType=Dem`, `Case=Gen\|Gender=Fem\|Number=Sing\|POS=DET\|PronType=Rel`, `Case=Nom\|Gender=Neut\|NumType=Card\|Number=Sing\|POS=DET\|PronType=Ind`, `Case=Loc\|Degree=Cmp\|Gender=Fem\|Number=Sing\|POS=ADJ`, `Case=Loc\|Gender=Neut\|Number=Plur\|POS=PRON\|Person=3\|PrepCase=Pre\|PronType=Prs\|Variant=Long`, `Case=Ins\|Gender=Neut\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Case=Voc\|Gender=Masc\|Number=Plur\|POS=PROPN\|SubGender=Masc1`, `Case=Nom\|Gender=Masc\|Number=Plur\|Number[psor]=Sing\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs\|SubGender=Masc2`, `Case=Gen\|Gender=Fem\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Case=Gen\|Gender=Neut\|Number=Sing\|POS=DET\|PronType=Neg`, `Case=Loc\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Rel\|SubGender=Masc3`, `Case=Ins\|Gender=Fem\|Number=Sing\|POS=DET\|PronType=Ind`, `Case=Gen\|Gender=Fem\|Number=Plur\|POS=PRON\|Person=1\|PronType=Prs`, `Case=Nom\|Gender=Masc\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=2\|Poss=Yes\|PronType=Prs\|SubGender=Masc3`, `Case=Ins\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Ind\|SubGender=Masc1`, `Case=Ins\|Gender=Neut\|Number=Sing\|POS=PRON\|Person=3\|PrepCase=Pre\|PronType=Prs\|Variant=Long`, `Case=Loc\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=3\|PrepCase=Pre\|PronType=Prs\|SubGender=Masc3\|Variant=Long`, `Case=Loc\|Gender=Fem\|Number=Plur\|POS=DET\|PronType=Ind`, `Case=Ins\|Gender=Fem\|Number=Sing\|POS=DET\|PronType=Tot`, `Case=Ins\|Gender=Neut\|Number=Plur\|POS=PROPN`, `Case=Gen\|Gender=Masc\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs\|SubGender=Masc1`, `Aspect=Imp\|Case=Loc\|Gender=Masc\|Number=Sing\|POS=ADJ\|Polarity=Pos\|SubGender=Masc3\|VerbForm=Part\|Voice=Act`, `Case=Loc\|Gender=Masc\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=2\|Poss=Yes\|PronType=Prs\|SubGender=Masc1`, `Aspect=Perf\|Case=Loc\|Gender=Fem\|Number=Plur\|POS=ADJ\|Polarity=Pos\|VerbForm=Part\|Voice=Pass`, `Case=Voc\|Gender=Masc\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs\|SubGender=Masc1`, `Case=Gen\|Gender=Fem\|Number=Plur\|POS=DET\|PronType=Rel`, `Case=Gen\|Gender=Masc\|Number=Sing\|Number[psor]=Plur\|POS=DET\|Person=2\|Poss=Yes\|PronType=Prs\|SubGender=Masc3`, `Case=Gen\|Gender=Masc\|Number=Plur\|POS=PROPN\|SubGender=Masc3`, `Case=Gen\|Gender=Neut\|Number=Plur\|POS=DET\|PronType=Neg`, `Aspect=Perf\|Case=Nom\|Gender=Masc\|Number=Plur\|POS=ADJ\|Polarity=Pos\|SubGender=Masc2\|VerbForm=Part\|Voice=Pass`, `Aspect=Perf\|Mood=Ind\|Number=Plur\|POS=AUX\|Person=3\|Tense=Fut\|VerbForm=Fin\|Voice=Act`, `Case=Loc\|Gender=Neut\|Number=Plur\|POS=DET\|PronType=Ind`, `Case=Gen\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Neg\|SubGender=Masc3`, `Case=Acc\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Rel\|SubGender=Masc3`, `Case=Nom\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Tot\|SubGender=Masc3`, `Case=Gen\|Gender=Masc\|Number=Sing\|Number[psor]=Plur\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs\|SubGender=Masc1`, `Aspect=Imp\|Case=Loc\|Gender=Masc\|Number=Plur\|POS=ADJ\|Polarity=Pos\|SubGender=Masc3\|VerbForm=Part\|Voice=Pass`, `Case=Acc\|Gender=Masc\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs\|SubGender=Masc1`, `Case=Nom\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Rel\|SubGender=Masc1`, `Case=Ins\|Degree=Sup\|Gender=Masc\|Number=Sing\|POS=ADJ\|SubGender=Masc3`, `Case=Dat\|Gender=Neut\|Number=Sing\|POS=DET\|Poss=Yes\|PronType=Prs\|Reflex=Yes`, `Case=Dat\|Degree=Pos\|Gender=Neut\|Number=Sing\|POS=ADJ`, `Case=Voc\|Gender=Masc\|Number=Plur\|POS=NOUN\|SubGender=Masc1`, `Case=Ins\|Gender=Neut\|Number=Plur\|Number[psor]=Sing\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Case=Nom\|Gender=Masc\|NumType=Card\|Number=Plur\|POS=NUM\|SubGender=Masc2`, `Case=Gen\|Degree=Sup\|Gender=Fem\|Number=Plur\|POS=ADJ`, `Case=Nom\|Degree=Sup\|Gender=Masc\|Number=Sing\|POS=ADJ\|SubGender=Masc3`, `Case=Acc\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Tot\|SubGender=Masc2`, `Case=Dat\|Gender=Masc\|NumType=Card\|Number=Plur\|POS=NUM\|SubGender=Masc1`, `Aspect=Imp\|Case=Gen\|Gender=Neut\|Number=Sing\|POS=ADJ\|Polarity=Pos\|VerbForm=Part\|Voice=Pass`, `Case=Acc\|Gender=Masc\|Number=Plur\|POS=DET\|Poss=Yes\|PronType=Ind\|SubGender=Masc3`, `Case=Ins\|Degree=Cmp\|Gender=Fem\|Number=Sing\|POS=ADJ`, `Case=Acc\|Gender=Fem\|Number=Plur\|POS=PRON\|Person=1\|PronType=Prs`, `Case=Nom\|Gender=Fem\|Number=Plur\|Number[psor]=Plur\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Case=Nom\|Gender=Neut\|Number=Sing\|Number[psor]=Plur\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Case=Dat\|Gender=Masc\|Number=Plur\|Number[psor]=Plur\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs\|SubGender=Masc1`, `Case=Ins\|Gender=Masc\|Number=Sing\|Number[psor]=Plur\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs\|SubGender=Masc3`, `Case=Acc\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=3\|PrepCase=Pre\|PronType=Prs\|SubGender=Masc1\|Variant=Short`, `Aspect=Imp\|Case=Nom\|Gender=Neut\|Number=Plur\|POS=ADJ\|Polarity=Pos\|VerbForm=Part\|Voice=Act`, `Case=Dat\|Gender=Neut\|Number=Sing\|POS=PRON\|Person=3\|PrepCase=Npr\|PronType=Prs\|Variant=Short`, `Case=Dat\|Gender=Fem\|Number=Plur\|POS=PRON\|Person=2\|PronType=Prs`, `Case=Ins\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=3\|PrepCase=Pre\|PronType=Prs\|SubGender=Masc2\|Variant=Long`, `Case=Ins\|Gender=Neut\|Number=Sing\|POS=PRON\|PronType=Neg`, `Case=Acc\|Gender=Neut\|Number=Sing\|POS=PRON\|PronType=Rel`, `Case=Gen\|Gender=Fem\|Number=Plur\|POS=DET\|PronType=Neg`, `Case=Dat\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Tot\|SubGender=Masc1`, `Case=Gen\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Neg\|SubGender=Masc1`, `Case=Gen\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Tot\|SubGender=Masc3`, `Case=Loc\|Gender=Neut\|Number=Sing\|POS=PRON\|PronType=Neg`, `Case=Dat\|Gender=Fem\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Aspect=Imp\|Mood=Ind\|Number=Plur\|POS=VERB\|Person=1\|Tense=Fut\|VerbForm=Fin`, `Case=Loc\|Gender=Fem\|Number=Plur\|Number[psor]=Plur\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Case=Dat\|Gender=Fem\|Number=Sing\|POS=DET\|Poss=Yes\|PronType=Prs\|Reflex=Yes`, `Aspect=Imp\|Gender=Neut\|Mood=Ind\|Number=Sing\|POS=VERB\|Tense=Pres\|VerbForm=Fin\|Voice=Act`, `Case=Ins\|Gender=Masc\|Number=Plur\|POS=DET\|Poss=Yes\|PronType=Prs\|Reflex=Yes\|SubGender=Masc3`, `Aspect=Imp\|Gender=Masc\|Mood=Ind\|Number=Plur\|POS=AUX\|SubGender=Masc2\|Tense=Past\|VerbForm=Fin\|Voice=Act`, `Aspect=Perf\|Case=Ins\|Gender=Neut\|Number=Sing\|POS=ADJ\|Polarity=Neg\|VerbForm=Part\|Voice=Pass`, `Case=Loc\|Gender=Masc\|Number=Plur\|POS=PRON\|Person=2\|PronType=Prs\|SubGender=Masc1`, `Case=Gen\|Degree=Cmp\|Gender=Neut\|Number=Plur\|POS=ADJ`, `Case=Loc\|Gender=Neut\|Number=Sing\|POS=DET\|PronType=Neg`, `Case=Dat\|Gender=Neut\|Number=Plur\|Number[psor]=Sing\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Case=Gen\|Gender=Neut\|Number=Plur\|POS=DET\|Poss=Yes\|PronType=Ind`, `Case=Nom\|Gender=Neut\|Number=Plur\|POS=DET\|PronType=Tot`, `Case=Gen\|Gender=Masc\|Number=Plur\|Number[psor]=Plur\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs\|SubGender=Masc1`, `Case=Gen\|Gender=Neut\|NumType=Card\|Number=Plur\|POS=DET\|PronType=Ind`, `Case=Nom\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Int\|SubGender=Masc1`, `Case=Gen\|Gender=Masc\|Number=Plur\|Number[psor]=Sing\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs\|SubGender=Masc3`, `Case=Nom\|Gender=Masc\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=2\|Poss=Yes\|PronType=Prs\|SubGender=Masc2`, `Case=Ins\|Degree=Cmp\|Gender=Masc\|Number=Sing\|POS=ADJ\|SubGender=Masc3`, `Aspect=Imp\|Case=Gen\|Gender=Masc\|Number=Sing\|POS=ADJ\|Polarity=Pos\|SubGender=Masc1\|VerbForm=Part\|Voice=Pass`, `Case=Dat\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Ind\|SubGender=Masc1`, `Aspect=Imp\|Case=Nom\|Gender=Fem\|Number=Sing\|POS=ADJ\|Polarity=Neg\|VerbForm=Part\|Voice=Pass`, `Case=Ins\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=3\|PrepCase=Npr\|PronType=Prs\|SubGender=Masc2\|Variant=Long`, `Case=Loc\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=ADJ\|SubGender=Masc2`, `Case=Ins\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Rel\|SubGender=Masc1`, `Case=Acc\|Gender=Neut\|NumType=Card\|Number=Plur\|POS=DET\|PronType=Dem`, `Aspect=Perf\|Case=Loc\|Gender=Neut\|Number=Sing\|POS=ADJ\|Polarity=Pos\|VerbForm=Part\|Voice=Pass`, `Case=Acc\|Gender=Fem\|Number=Sing\|POS=DET\|Poss=Yes\|PronType=Int`, `Case=Acc\|Emphatic=Yes\|Gender=Neut\|NumType=Card\|Number=Plur\|POS=DET\|PronType=Int`, `Case=Loc\|Gender=Neut\|Number=Plur\|POS=DET\|PronType=Tot`, `Case=Gen\|Degree=Cmp\|Gender=Fem\|Number=Plur\|POS=ADJ`, `Case=Dat\|Gender=Masc\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs\|SubGender=Masc1`, `Case=Dat\|Degree=Cmp\|Gender=Masc\|Number=Sing\|POS=ADJ\|SubGender=Masc1`, `Case=Ins\|Gender=Neut\|Number=Sing\|POS=PRON\|Person=3\|PrepCase=Npr\|PronType=Prs\|Variant=Long`, `Case=Nom\|Gender=Neut\|Number=Sing\|POS=PRON\|PronType=Rel`, `Case=Ins\|Gender=Fem\|Number=Sing\|POS=DET\|PronType=Rel`, `Aspect=Imp\|Case=Nom\|Gender=Fem\|Number=Plur\|POS=ADJ\|Polarity=Neg\|VerbForm=Part\|Voice=Pass`, `Case=Loc\|Gender=Masc\|Number=Plur\|POS=PROPN\|SubGender=Masc3`, `Aspect=Imp\|Case=Dat\|Gender=Masc\|Number=Plur\|POS=ADJ\|Polarity=Pos\|SubGender=Masc1\|VerbForm=Part\|Voice=Act`, `Case=Acc\|Gender=Fem\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=2\|Poss=Yes\|PronType=Prs`, `Case=Gen\|Gender=Neut\|Number=Sing\|POS=DET\|PronType=Tot`, `Aspect=Imp\|Case=Gen\|Gender=Masc\|Number=Plur\|POS=ADJ\|Polarity=Pos\|SubGender=Masc1\|VerbForm=Part\|Voice=Pass`, `Case=Nom\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=3\|PrepCase=Npr\|PronType=Prs\|SubGender=Masc2\|Variant=Long`, `Case=Dat\|Gender=Fem\|Number=Plur\|POS=PRON\|Person=1\|PronType=Prs`, `Case=Loc\|Degree=Sup\|Gender=Neut\|Number=Sing\|POS=ADJ`, `Aspect=Imp\|Case=Acc\|Gender=Fem\|Number=Plur\|POS=ADJ\|Polarity=Pos\|VerbForm=Part\|Voice=Act`, `Case=Dat\|Gender=Neut\|Number=Plur\|POS=PROPN`, `Case=Acc\|Gender=Masc\|Number=Plur\|POS=DET\|Poss=Yes\|PronType=Prs\|Reflex=Yes\|SubGender=Masc2`, `Case=Acc\|Gender=Masc\|Number=Sing\|POS=DET\|Poss=Yes\|PronType=Prs\|Reflex=Yes\|SubGender=Masc2`, `Case=Gen\|Gender=Neut\|Number=Plur\|Number[psor]=Sing\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Aspect=Perf\|Case=Loc\|Gender=Neut\|Number=Plur\|POS=ADJ\|Polarity=Pos\|VerbForm=Part\|Voice=Pass`, `Case=Gen\|Gender=Neut\|NumType=Card\|Number=Plur\|POS=NUM`, `Aspect=Imp\|Case=Loc\|Gender=Fem\|Number=Sing\|POS=ADJ\|Polarity=Pos\|VerbForm=Part\|Voice=Pass`, `Case=Loc\|Gender=Masc\|Number=Plur\|POS=PRON\|Person=3\|PrepCase=Pre\|PronType=Prs\|SubGender=Masc1\|Variant=Long`, `Case=Loc\|Gender=Masc\|NumType=Card\|Number=Plur\|POS=DET\|PronType=Ind\|SubGender=Masc3`, `Aspect=Imp\|Case=Acc\|Gender=Masc\|Number=Plur\|POS=ADJ\|Polarity=Pos\|SubGender=Masc2\|VerbForm=Part\|Voice=Act`, `Case=Loc\|Gender=Neut\|Number=Sing\|POS=PRON\|PronType=Rel`, `Case=Nom\|Degree=Sup\|Gender=Masc\|Number=Plur\|POS=ADJ\|SubGender=Masc2`, `Case=Acc\|Gender=Masc\|NumType=Card\|Number=Plur\|POS=DET\|PronType=Int\|SubGender=Masc2`, `Case=Ins\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Neg\|SubGender=Masc3`, `Agglutination=Nagl\|Aspect=Imp\|Gender=Masc\|Mood=Ind\|Number=Sing\|POS=VERB\|SubGender=Masc2\|Tense=Past\|VerbForm=Fin\|Voice=Act`, `Case=Ins\|Gender=Neut\|Number=Plur\|POS=PRON\|Person=3\|PrepCase=Pre\|PronType=Prs\|Variant=Long`, `Aspect=Imp\|Case=Loc\|Gender=Neut\|Number=Plur\|POS=ADJ\|Polarity=Pos\|VerbForm=Part\|Voice=Pass`, `Aspect=Imp\|Case=Ins\|Gender=Fem\|Number=Sing\|POS=ADJ\|Polarity=Neg\|VerbForm=Part\|Voice=Pass`, `Case=Nom\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Neg\|SubGender=Masc1`, `Case=Gen\|Gender=Masc\|Number=Sing\|POS=DET\|Poss=Yes\|PronType=Prs\|Reflex=Yes\|SubGender=Masc1`, `Case=Loc\|Gender=Neut\|Number=Sing\|POS=PRON\|Person=3\|PrepCase=Pre\|PronType=Prs\|Variant=Long`, `Case=Nom\|Gender=Neut\|Number=Sing\|POS=DET\|PronType=Neg`, `Case=Nom\|Gender=Neut\|Number=Sing\|POS=DET\|PronType=Rel`, `Case=Gen\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Tot\|SubGender=Masc3`, `Aspect=Perf\|Gender=Masc\|Mood=Ind\|Number=Plur\|POS=AUX\|SubGender=Masc1\|Tense=Past\|VerbForm=Fin\|Voice=Act`, `POS=PART\|Variant=Long`, `Case=Loc\|Gender=Neut\|Number=Plur\|POS=DET\|PronType=Rel`, `Case=Gen\|Gender=Fem\|Number=Plur\|Number[psor]=Sing\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Case=Ins\|Gender=Neut\|Number=Sing\|POS=DET\|PronType=Tot`, `Case=Loc\|Gender=Masc\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs\|SubGender=Masc3`, `Aspect=Perf\|Case=Dat\|Gender=Fem\|Number=Sing\|POS=ADJ\|Polarity=Pos\|VerbForm=Part\|Voice=Pass`, `Case=Ins\|Degree=Sup\|Gender=Fem\|Number=Sing\|POS=ADJ`, `Case=Ins\|Degree=Sup\|Gender=Masc\|Number=Sing\|POS=ADJ\|SubGender=Masc2`, `Case=Acc\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=2\|PronType=Prs\|SubGender=Masc2\|Variant=Short`, `Case=Gen\|Gender=Neut\|Number=Sing\|POS=DET\|PronType=Ind`, `Case=Ins\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=3\|PrepCase=Npr\|PronType=Prs\|SubGender=Masc3\|Variant=Long`, `Case=Acc\|Gender=Neut\|Number=Plur\|POS=PRON\|Person=2\|PronType=Prs`, `Case=Acc\|Degree=Sup\|Gender=Neut\|Number=Plur\|POS=ADJ`, `Case=Nom\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Rel\|SubGender=Masc2`, `Case=Gen\|Gender=Fem\|Number=Plur\|POS=PROPN`, `Aspect=Imp\|Case=Loc\|Gender=Masc\|Number=Sing\|POS=ADJ\|Polarity=Pos\|SubGender=Masc2\|VerbForm=Part\|Voice=Act`, `Case=Dat\|Degree=Pos\|Gender=Masc\|Number=Plur\|POS=ADJ\|SubGender=Masc3`, `Aspect=Perf\|Case=Dat\|Gender=Masc\|Number=Sing\|POS=ADJ\|Polarity=Pos\|SubGender=Masc1\|VerbForm=Part\|Voice=Pass`, `Case=Voc\|Degree=Sup\|Gender=Fem\|Number=Sing\|POS=ADJ`, `Case=Acc\|Gender=Masc\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=2\|Poss=Yes\|PronType=Prs\|SubGender=Masc1`, `Case=Acc\|Gender=Fem\|Number=Plur\|POS=PROPN`, `Aspect=Imp\|Case=Ins\|Gender=Fem\|Number=Sing\|POS=ADJ\|Polarity=Pos\|VerbForm=Part\|Voice=Act`, `Case=Loc\|Degree=Cmp\|Gender=Masc\|Number=Plur\|POS=ADJ\|SubGender=Masc1`, `Case=Gen\|Degree=Sup\|Gender=Masc\|Number=Sing\|POS=ADJ\|SubGender=Masc3`, `Case=Nom\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Dem\|SubGender=Masc2`, `Aspect=Imp\|Case=Gen\|Gender=Masc\|Number=Sing\|POS=ADJ\|Polarity=Pos\|SubGender=Masc3\|VerbForm=Part\|Voice=Pass`, `Case=Acc\|Degree=Cmp\|Gender=Neut\|Number=Sing\|POS=ADJ`, `Case=Acc\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Ind\|SubGender=Masc1`, `Case=Acc\|Gender=Neut\|Number=Sing\|POS=DET\|PronType=Int`, `Case=Dat\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Dem\|SubGender=Masc3`, `Case=Dat\|Gender=Fem\|Number=Plur\|POS=DET\|Poss=Yes\|PronType=Prs\|Reflex=Yes`, `Case=Acc\|Gender=Masc\|Number=Plur\|POS=PROPN\|SubGender=Masc3`, `Case=Ins\|Gender=Fem\|Number=Plur\|POS=PRON\|Person=3\|PrepCase=Npr\|PronType=Prs\|Variant=Long`, `Case=Nom\|Gender=Masc\|Number=Plur\|POS=PROPN\|SubGender=Masc3`, `Case=Acc\|Gender=Masc\|Number=Plur\|Number[psor]=Sing\|POS=DET\|Person=2\|Poss=Yes\|PronType=Prs\|SubGender=Masc3`, `Aspect=Imp\|Case=Nom\|Gender=Masc\|Number=Plur\|POS=ADJ\|Polarity=Pos\|SubGender=Masc2\|VerbForm=Part\|Voice=Act`, `Aspect=Perf\|Case=Dat\|Gender=Masc\|Number=Plur\|POS=ADJ\|Polarity=Pos\|SubGender=Masc1\|VerbForm=Part\|Voice=Pass`, `Case=Dat\|Gender=Masc\|NumType=Card\|Number=Plur\|POS=DET\|PronType=Ind\|SubGender=Masc1`, `Case=Acc\|Gender=Masc\|Number=Plur\|Number[psor]=Sing\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs\|SubGender=Masc3`, `Case=Gen\|Gender=Neut\|Number=Plur\|POS=DET\|PronType=Tot`, `Case=Loc\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=3\|PrepCase=Pre\|PronType=Prs\|SubGender=Masc2\|Variant=Long`, `Case=Loc\|Degree=Sup\|Gender=Masc\|Number=Plur\|POS=ADJ\|SubGender=Masc3`, `Case=Acc\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=3\|PrepCase=Pre\|PronType=Prs\|SubGender=Masc3\|Variant=Short`, `Case=Loc\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Tot\|SubGender=Masc1`, `Case=Ins\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Tot\|SubGender=Masc3`, `Aspect=Imp\|Case=Loc\|Gender=Fem\|Number=Plur\|POS=ADJ\|Polarity=Pos\|VerbForm=Part\|Voice=Act`, `Case=Loc\|Gender=Fem\|Number=Sing\|Number[psor]=Plur\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Case=Gen\|Gender=Masc\|Number=Plur\|Number[psor]=Plur\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs\|SubGender=Masc3`, `Case=Ins\|Gender=Neut\|Number=Plur\|POS=DET\|PronType=Ind`, `Case=Dat\|Gender=Neut\|Number=Sing\|POS=DET\|PronType=Tot`, `Case=Voc\|Gender=Masc\|Number=Plur\|POS=NOUN\|Polite=Depr\|SubGender=Masc2`, `Case=Ins\|Gender=Masc\|Number=Sing\|POS=PRON\|PronType=Ind\|SubGender=Masc1`, `Aspect=Imp\|Case=Ins\|Gender=Neut\|Number=Sing\|POS=ADJ\|Polarity=Pos\|VerbForm=Part\|Voice=Act`, `Case=Dat\|Gender=Fem\|NumType=Card\|Number=Plur\|POS=NUM`, `Case=Loc\|Gender=Masc\|Number=Plur\|POS=PRON\|Person=1\|PronType=Prs\|SubGender=Masc1`, `Case=Nom\|Gender=Neut\|Number=Plur\|POS=DET\|PronType=Rel`, `Case=Nom\|Gender=Fem\|Number=Plur\|Number[psor]=Sing\|POS=DET\|Person=2\|Poss=Yes\|PronType=Prs`, `Aspect=Imp\|Gender=Masc\|Mood=Ind\|Number=Sing\|POS=VERB\|SubGender=Masc3\|Tense=Pres\|VerbForm=Fin\|Voice=Act`, `Case=Acc\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Rel\|SubGender=Masc3`, `Case=Dat\|Degree=Cmp\|Gender=Masc\|Number=Plur\|POS=ADJ\|SubGender=Masc1`, `Aspect=Imp\|Case=Nom\|Gender=Neut\|Number=Sing\|POS=ADJ\|Polarity=Pos\|VerbForm=Part\|Voice=Act`, `Case=Dat\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=2\|PronType=Prs\|SubGender=Masc2\|Variant=Short`, `Case=Gen\|Gender=Fem\|Number=Sing\|POS=DET\|Poss=Yes\|PronType=Ind`, `Aspect=Perf\|Case=Gen\|Gender=Fem\|Number=Sing\|POS=ADJ\|Polarity=Neg\|VerbForm=Part\|Voice=Pass`, `Aspect=Imp\|Case=Gen\|Gender=Neut\|Number=Sing\|POS=ADJ\|Polarity=Pos\|VerbForm=Part\|Voice=Act`, `Case=Dat\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Dem\|SubGender=Masc2`, `Case=Nom\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Neg\|SubGender=Masc3`, `Case=Acc\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=3\|PrepCase=Pre\|PronType=Prs\|SubGender=Masc2\|Variant=Long`, `Aspect=Imp\|Case=Loc\|Gender=Masc\|Number=Plur\|POS=ADJ\|Polarity=Pos\|SubGender=Masc1\|VerbForm=Part\|Voice=Pass`, `Aspect=Imp\|Gender=Fem\|Mood=Ind\|Number=Plur\|POS=AUX\|Tense=Past\|VerbForm=Fin`, `Case=Dat\|Gender=Fem\|Number=Sing\|POS=DET\|PronType=Dem`, `Case=Loc\|Gender=Neut\|NumType=Card\|Number=Plur\|POS=DET\|PronType=Ind`, `Aspect=Perf\|Case=Nom\|Gender=Masc\|Number=Sing\|POS=ADJ\|Polarity=Neg\|SubGender=Masc3\|VerbForm=Part\|Voice=Pass`, `Case=Acc\|Gender=Neut\|Number=Sing\|POS=DET\|PronType=Rel`, `Case=Gen\|Degree=Sup\|Gender=Masc\|Number=Plur\|POS=ADJ\|SubGender=Masc2`, `Case=Dat\|Gender=Fem\|Number=Plur\|POS=PRON\|Person=3\|PrepCase=Npr\|PronType=Prs\|Variant=Long`, `Case=Dat\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=1\|PronType=Prs\|SubGender=Masc1\|Variant=Long`, `Case=Dat\|Gender=Neut\|Number=Sing\|POS=PRON\|PronType=Neg`, `Case=Dat\|Gender=Masc\|Number=Sing\|Number[psor]=Plur\|POS=DET\|Person=2\|Poss=Yes\|PronType=Prs\|SubGender=Masc1`, `Aspect=Imp\|Case=Ins\|Gender=Neut\|Number=Plur\|POS=ADJ\|Polarity=Pos\|VerbForm=Part\|Voice=Act`, `Case=Loc\|Gender=Masc\|Number=Plur\|Number[psor]=Plur\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs\|SubGender=Masc3`, `Case=Nom\|Gender=Masc\|Number=Plur\|Number[psor]=Sing\|POS=DET\|Person=2\|Poss=Yes\|PronType=Prs\|SubGender=Masc1`, `Case=Nom\|Gender=Neut\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=2\|Poss=Yes\|PronType=Prs`, `Case=Gen\|Gender=Neut\|NumType=Card\|Number=Plur\|POS=DET\|PronType=Dem`, `Case=Nom\|Gender=Masc\|Number=Plur\|POS=DET\|Poss=Yes\|PronType=Prs\|Reflex=Yes\|SubGender=Masc1`, `Case=Loc\|Gender=Neut\|NumType=Card\|Number=Plur\|POS=NUM`, `Case=Loc\|Degree=Cmp\|Gender=Neut\|Number=Plur\|POS=ADJ`, `Aspect=Imp\|Case=Acc\|Gender=Neut\|Number=Sing\|POS=NOUN\|Polarity=Neg\|VerbForm=Vnoun`, `Aspect=Imp\|Case=Loc\|Gender=Neut\|Number=Sing\|POS=ADJ\|Polarity=Pos\|VerbForm=Part\|Voice=Act`, `Case=Dat\|Gender=Neut\|Number=Sing\|POS=PRON\|Person=1\|PronType=Prs\|Variant=Short`, `Aspect=Imp\|Case=Gen\|Gender=Fem\|Number=Plur\|POS=ADJ\|Polarity=Pos\|VerbForm=Part\|Voice=Pass`, `Case=Loc\|Emphatic=Yes\|Gender=Neut\|NumType=Card\|Number=Plur\|POS=DET\|PronType=Int`, `Case=Loc\|Gender=Fem\|Number=Plur\|POS=DET\|PronType=Int`, `Case=Loc\|Gender=Neut\|Number=Plur\|POS=DET\|PronType=Int`, `Case=Loc\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Int\|SubGender=Masc3`, `Case=Loc\|Gender=Neut\|Number=Sing\|POS=DET\|PronType=Tot`, `Aspect=Perf\|Case=Acc\|Gender=Masc\|Number=Plur\|POS=ADJ\|Polarity=Pos\|SubGender=Masc2\|VerbForm=Part\|Voice=Pass`, `Case=Loc\|Gender=Fem\|Number=Plur\|POS=PROPN`, `Aspect=Perf\|Case=Gen\|Gender=Masc\|Number=Plur\|POS=ADJ\|Polarity=Pos\|SubGender=Masc2\|VerbForm=Part\|Voice=Pass`, `Case=Dat\|Gender=Fem\|Number=Plur\|POS=PRON\|Person=3\|PrepCase=Pre\|PronType=Prs\|Variant=Long`, `Aspect=Imp\|Case=Loc\|Gender=Fem\|Number=Sing\|POS=ADJ\|Polarity=Pos\|VerbForm=Part\|Voice=Act`, `Aspect=Imp\|Case=Loc\|Gender=Fem\|Number=Plur\|POS=ADJ\|Polarity=Neg\|VerbForm=Part\|Voice=Pass`, `Aspect=Imp\|Case=Acc\|Gender=Neut\|Number=Sing\|POS=ADJ\|Polarity=Pos\|VerbForm=Part\|Voice=Act`, `Case=Loc\|Gender=Masc\|NumType=Card\|Number=Plur\|POS=NUM\|SubGender=Masc1`, `Case=Loc\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Dem\|SubGender=Masc1`, `Aspect=Imp\|Case=Ins\|Gender=Fem\|Number=Sing\|POS=ADJ\|Polarity=Neg\|VerbForm=Part\|Voice=Act`, `Case=Acc\|Gender=Masc\|Number=Sing\|Number[psor]=Plur\|POS=DET\|Person=2\|Poss=Yes\|PronType=Prs\|SubGender=Masc3`, `Aspect=Imp\|Mood=Ind\|Number=Sing\|POS=VERB\|Person=2\|Tense=Fut\|VerbForm=Fin`, `Aspect=Perf\|Case=Gen\|Gender=Masc\|Number=Sing\|POS=ADJ\|Polarity=Pos\|SubGender=Masc2\|VerbForm=Part\|Voice=Pass`, `Case=Gen\|Degree=Cmp\|Gender=Masc\|Number=Plur\|POS=ADJ\|SubGender=Masc3`, `Case=Acc\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Dem\|SubGender=Masc2`, `Case=Ins\|Gender=Masc\|Number=Plur\|Number[psor]=Plur\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs\|SubGender=Masc1`, `Case=Nom\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Tot\|SubGender=Masc2`, `Case=Gen\|Gender=Fem\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=2\|Poss=Yes\|PronType=Prs`, `Case=Dat\|Degree=Cmp\|Gender=Neut\|Number=Sing\|POS=ADJ`, `Case=Dat\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Rel\|SubGender=Masc1`, `Case=Loc\|Gender=Fem\|NumType=Card\|Number=Plur\|POS=DET\|PronType=Dem`, `Aspect=Imp\|Case=Gen\|Gender=Masc\|Number=Plur\|POS=ADJ\|Polarity=Pos\|SubGender=Masc2\|VerbForm=Part\|Voice=Act`, `Case=Dat\|Gender=Neut\|NumType=Card\|Number=Plur\|POS=DET\|PronType=Ind`, `Case=Gen\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Dem\|SubGender=Masc2`, `Case=Loc\|Gender=Masc\|Number=Plur\|POS=NOUN\|SubGender=Masc2`, `Case=Gen\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Rel\|SubGender=Masc1`, `Aspect=Imp\|Case=Nom\|Gender=Masc\|Number=Sing\|POS=ADJ\|Polarity=Pos\|SubGender=Masc2\|VerbForm=Part\|Voice=Act`, `Aspect=Perf\|Case=Acc\|Gender=Masc\|Number=Plur\|POS=ADJ\|Polarity=Neg\|SubGender=Masc3\|VerbForm=Part\|Voice=Pass`, `Case=Acc\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=1\|PronType=Prs\|SubGender=Masc3\|Variant=Long`, `Case=Gen\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Ind\|SubGender=Masc1`, `Aspect=Imp\|Case=Loc\|Gender=Masc\|Number=Plur\|POS=ADJ\|Polarity=Pos\|SubGender=Masc3\|VerbForm=Part\|Voice=Act`, `Aspect=Imp\|Case=Loc\|Gender=Masc\|Number=Sing\|POS=ADJ\|Polarity=Pos\|SubGender=Masc1\|VerbForm=Part\|Voice=Act`, `Aspect=Perf\|Case=Dat\|Gender=Fem\|Number=Plur\|POS=ADJ\|Polarity=Pos\|VerbForm=Part\|Voice=Pass`, `Aspect=Imp\|Case=Dat\|Gender=Fem\|Number=Plur\|POS=ADJ\|Polarity=Pos\|VerbForm=Part\|Voice=Pass`, `Case=Ins\|Gender=Fem\|Number=Sing\|POS=PRON\|Person=3\|PrepCase=Npr\|PronType=Prs\|Variant=Long`, `Case=Ins\|Gender=Fem\|NumType=Card\|Number=Plur\|POS=DET\|PronType=Ind`, `Case=Ins\|Emphatic=Yes\|Gender=Fem\|Number=Sing\|POS=DET\|PronType=Dem`, `Case=Ins\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Tot\|SubGender=Masc2`, `Aspect=Perf\|Case=Acc\|Gender=Masc\|Number=Plur\|POS=ADJ\|Polarity=Pos\|SubGender=Masc1\|VerbForm=Part\|Voice=Pass`, `Case=Ins\|Gender=Fem\|Number=Plur\|POS=DET\|PronType=Ind`, `Case=Ins\|Gender=Neut\|Number=Sing\|POS=DET\|PronType=Ind`, `Case=Acc\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Int\|SubGender=Masc2`, `Case=Ins\|Gender=Masc\|Number=Sing\|POS=DET\|Poss=Yes\|PronType=Prs\|Reflex=Yes\|SubGender=Masc1`, `Case=Nom\|Gender=Masc\|Number=Sing\|POS=PRON\|PronType=Rel\|SubGender=Masc1`, `Case=Acc\|Gender=Fem\|Number=Sing\|Number[psor]=Plur\|POS=DET\|Person=2\|Poss=Yes\|PronType=Prs` |
| **`parser`** | `ROOT`, `acl`, `acl:relcl`, `advcl`, `advmod`, `amod`, `appos`, `aux`, `aux:aglt`, `aux:mood`, `aux:pass`, `case`, `cc`, `cc:preconj`, `ccomp`, `ccomp:obj`, `conj`, `cop`, `cop:locat`, `csubj`, `dep`, `det`, `discourse`, `expl:impers`, `expl:pv`, `fixed`, `flat`, `iobj`, `mark`, `nmod`, `nmod:poss`, `nsubj`, `nsubj:pass`, `nummod`, `obj`, `obl`, `obl:agent`, `punct`, `vocative`, `xcomp`, `xcomp:obj` |
| **`experimental_edit_tree_lemmatizer`** | `1`, `3`, `5`, `6`, `7`, `9`, `11`, `13`, `15`, `17`, `19`, `21`, `23`, `25`, `26`, `30`, `32`, `34`, `38`, `39`, `41`, `43`, `46`, `48`, `51`, `53`, `55`, `57`, `60`, `62`, `63`, `66`, `68`, `70`, `72`, `75`, `77`, `79`, `81`, `82`, `84`, `86`, `88`, `91`, `93`, `94`, `96`, `98`, `99`, `101`, `104`, `107`, `109`, `111`, `113`, `117`, `119`, `122`, `124`, `126`, `127`, `128`, `130`, `131`, `133`, `134`, `136`, `137`, `139`, `141`, `143`, `144`, `146`, `148`, `150`, `152`, `154`, `156`, `158`, `160`, `162`, `165`, `167`, `169`, `171`, `172`, `173`, `174`, `175`, `177`, `179`, `180`, `183`, `185`, `187`, `189`, `191`, `193`, `195`, `197`, `198`, `200`, `204`, `206`, `207`, `209`, `210`, `211`, `213`, `215`, `217`, `219`, `221`, `223`, `226`, `228`, `230`, `232`, `235`, `236`, `238`, `240`, `242`, `243`, `245`, `246`, `248`, `250`, `252`, `254`, `256`, `259`, `261`, `263`, `264`, `266`, `268`, `270`, `272`, `273`, `275`, `277`, `279`, `280`, `282`, `284`, `286`, `288`, `289`, `291`, `293`, `295`, `297`, `300`, `302`, `303`, `305`, `306`, `307`, `309`, `311`, `313`, `315`, `318`, `320`, `321`, `323`, `325`, `327`, `328`, `331`, `333`, `335`, `340`, `342`, `344`, `345`, `347`, `350`, `352`, `353`, `355`, `356`, `358`, `361`, `363`, `365`, `290`, `367`, `369`, `371`, `373`, `375`, `377`, `379`, `381`, `383`, `385`, `387`, `389`, `392`, `394`, `396`, `398`, `400`, `403`, `405`, `407`, `410`, `411`, `413`, `415`, `417`, `418`, `422`, `424`, `426`, `428`, `430`, `432`, `434`, `436`, `438`, `440`, `442`, `444`, `447`, `449`, `451`, `453`, `455`, `457`, `459`, `463`, `465`, `467`, `471`, `473`, `475`, `477`, `479`, `481`, `482`, `484`, `486`, `488`, `490`, `492`, `493`, `495`, `497`, `498`, `499`, `501`, `502`, `504`, `507`, `509`, `511`, `513`, `515`, `517`, `519`, `521`, `522`, `524`, `526`, `527`, `529`, `531`, `534`, `536`, `539`, `541`, `542`, `543`, `545`, `547`, `549`, `551`, `552`, `555`, `557`, `558`, `560`, `561`, `563`, `565`, `567`, `568`, `570`, `572`, `574`, `576`, `578`, `580`, `582`, `584`, `586`, `589`, `591`, `592`, `594`, `596`, `597`, `599`, `601`, `602`, `603`, `605`, `607`, `609`, `610`, `612`, `614`, `616`, `620`, `622`, `624`, `626`, `628`, `631`, `633`, `635`, `637`, `639`, `641`, `643`, `648`, `650`, `652`, `654`, `656`, `658`, `660`, `662`, `663`, `665`, `667`, `669`, `671`, `673`, `677`, `679`, `681`, `683`, `685`, `688`, `690`, `692`, `694`, `696`, `698`, `700`, `704`, `706`, `708`, `712`, `714`, `716`, `718`, `719`, `721`, `722`, `724`, `726`, `729`, `731`, `733`, `734`, `736`, `738`, `740`, `742`, `744`, `746`, `748`, `750`, `752`, `753`, `755`, `757`, `759`, `761`, `763`, `766`, `768`, `770`, `772`, `774`, `776`, `778`, `780`, `783`, `785`, `787`, `790`, `792`, `794`, `796`, `798`, `801`, `803`, `805`, `807`, `809`, `811`, `813`, `815`, `817`, `818`, `820`, `822`, `824`, `826`, `828`, `829`, `830`, `834`, `837`, `839`, `841`, `843`, `844`, `845`, `849`, `851`, `853`, `855`, `857`, `859`, `861`, `863`, `866`, `867`, `869`, `870`, `872`, `874`, `875`, `879`, `881`, `883`, `884`, `887`, `889`, `891`, `892`, `893`, `894`, `895`, `897`, `898`, `900`, `901`, `903`, `904`, `906`, `907`, `908`, `909`, `913`, `915`, `917`, `919`, `920`, `922`, `924`, `926`, `928`, `930`, `931`, `933`, `934`, `935`, `937`, `938`, `939`, `940`, `942`, `944`, `948`, `952`, `953`, `954`, `955`, `957`, `961`, `963`, `966`, `968`, `969`, `970`, `973`, `974`, `976`, `977`, `979`, `981`, `982`, `984`, `986`, `988`, `989`, `991`, `993`, `995`, `997`, `999`, `1000`, `1002`, `1004`, `1006`, `1009`, `1010`, `1012`, `1016`, `1018`, `1020`, `1023`, `1026`, `1027`, `1028`, `1029`, `1032`, `1033`, `1034`, `1035`, `1036`, `1038`, `1040`, `1042`, `1043`, `1046`, `1048`, `1049`, `1051`, `1052`, `1054`, `1055`, `1056`, `1057`, `1059`, `1060`, `1061`, `1063`, `1064`, `1065`, `1067`, `1070`, `1072`, `1074`, `1075`, `1076`, `1077`, `1079`, `1080`, `1081`, `1083`, `1086`, `1088`, `1090`, `1092`, `1093`, `1095`, `1098`, `1103`, `1106`, `1108`, `1110`, `1112`, `1114`, `1116`, `1118`, `1121`, `1122`, `1124`, `1126`, `1128`, `1130`, `1132`, `1134`, `1137`, `1138`, `1140`, `1142`, `1144`, `1148`, `1150`, `1151`, `1152`, `1154`, `1156`, `1157`, `1159`, `1160`, `1161`, `1162`, `1164`, `1167`, `1169`, `1170`, `1173`, `1174`, `1176`, `1177`, `1178`, `1180`, `1183`, `1185`, `1186`, `1188`, `1190`, `1191`, `1193`, `1196`, `1198`, `1199`, `1200`, `1202`, `1203`, `1204`, `1206`, `1208`, `1211`, `1212`, `1215`, `1216`, `1219`, `1220`, `1221`, `1222`, `1223`, `1224`, `1225`, `1227`, `1229`, `1231`, `1233`, `1235`, `1237`, `1239`, `1240`, `1241`, `1242`, `1244`, `1246`, `1248`, `1249`, `1250`, `1251`, `1254`, `1255`, `1258`, `1259`, `1262`, `1263`, `1267`, `1268`, `1269`, `1270`, `1272`, `1273`, `1275`, `1279`, `1281`, `1282`, `1284`, `1285`, `1287`, `1289`, `1290`, `1292`, `1294`, `1295`, `1296`, `1297`, `1299`, `1300`, `1302`, `1304`, `1308`, `1312`, `1314`, `1316`, `1318`, `1319`, `1320`, `1321`, `1323`, `1325`, `1326`, `1328`, `1330`, `1331`, `1333`, `1334`, `1336`, `1337`, `1339`, `1340`, `1341`, `1343`, `1344`, `1346`, `1348`, `1350`, `1351`, `1354`, `1356`, `1359`, `1361`, `1363`, `1365`, `1367`, `1368`, `1369`, `1370`, `1372`, `1374`, `1031`, `1376`, `1378`, `1380`, `1383`, `1385`, `1387`, `1389`, `1391`, `1394`, `1395`, `1397`, `1399`, `1401`, `1402`, `1404`, `1405`, `1407`, `1408`, `1410`, `1411`, `1412`, `1413`, `1415`, `1418`, `1419`, `1420`, `1421`, `1422`, `1425`, `1427`, `1430`, `1432`, `1433`, `1434`, `1436`, `1437`, `1439`, `1443`, `1445`, `1447`, `1449`, `1451`, `1453`, `1455`, `1457`, `1459`, `1463`, `1465`, `1466`, `1468`, `1469`, `1471`, `1473`, `1475`, `1476`, `1478`, `1480`, `1483`, `1486`, `1488`, `1489`, `1491`, `1493`, `1495`, `1496`, `1498`, `1500`, `1501`, `1503`, `1504`, `1505`, `1506`, `1507`, `1509`, `1510`, `1511`, `1512`, `1513`, `1514`, `827`, `1516`, `1518`, `1520`, `1522`, `1524`, `1526`, `1527`, `1528`, `1529`, `1531`, `1532`, `1534`, `1535`, `1537`, `1538`, `1539`, `1541`, `1543`, `1544`, `1546`, `1549`, `1550`, `1552`, `1554`, `1556`, `1559`, `1561`, `1563`, `1564`, `1565`, `1566`, `1568`, `1572`, `1573`, `1574`, `1576`, `1577`, `1578`, `1579`, `1580`, `1581`, `1584`, `1585`, `1587`, `1590`, `1591`, `1593`, `1595`, `1596`, `1597`, `1598`, `1600`, `1603`, `1604`, `1605`, `1607`, `1608`, `1609`, `1610`, `1612`, `1614`, `1616`, `1618`, `1620`, `1622`, `1624`, `1626`, `1628`, `1630`, `1631`, `1632`, `1634`, `1636`, `1638`, `1640`, `1642`, `1644`, `1646`, `1648`, `1650`, `1652`, `1654`, `1655`, `1657`, `1659`, `1660`, `1662`, `1664`, `1666`, `1668`, `1671`, `1673`, `1675`, `1676`, `1680`, `1681`, `1683`, `1684`, `1686`, `1688`, `1689`, `1691`, `1692`, `1693`, `1695`, `1696`, `1697`, `1698`, `1699`, `1701`, `1703`, `1705`, `1707`, `1709`, `1711`, `1713`, `1714`, `1717`, `1718`, `1719`, `1722`, `1723`, `1724`, `1726`, `1728`, `1730`, `1731`, `1733`, `1735`, `1737`, `1738`, `1739`, `1740`, `1741`, `1742`, `1744`, `1745`, `1749`, `1750`, `1751`, `1753`, `1754`, `1755`, `1757`, `1758`, `1760`, `1762`, `1763`, `1765`, `1769`, `1770`, `1772`, `1773`, `1775`, `1777`, `1778`, `1779`, `1782`, `1784`, `1787`, `1789`, `1791`, `1792`, `1794`, `1796`, `1797`, `1799`, `1801`, `1803`, `1805`, `1806`, `1807`, `1810`, `1812`, `1813`, `1817`, `1818`, `1820`, `1822`, `1825`, `1826`, `1829`, `1830`, `1831`, `1832`, `1834`, `1835`, `1838`, `1839`, `1840`, `1842`, `1844`, `1845`, `1846`, `1848`, `1850`, `1852`, `1853`, `1856`, `1857`, `1860`, `1862`, `1863`, `1865`, `1867`, `1869`, `1871`, `1873`, `1874`, `1875`, `1877`, `1879`, `1880`, `1882`, `1883`, `1885`, `1886`, `1887`, `1888`, `1889`, `1890`, `1891`, `1892`, `1894`, `1896`, `1898`, `1899`, `1900`, `1902`, `1904`, `1905`, `1725`, `1906`, `1911`, `1913`, `1915`, `1916`, `1017`, `1918`, `1920`, `1921`, `1922`, `1923`, `1924`, `1926`, `1927`, `1928`, `1929`, `1930`, `1931`, `1932`, `1933`, `1935`, `1936`, `1937`, `1939`, `1940`, `1941`, `1942`, `1943`, `1944`, `1945`, `1947`, `1949`, `1950`, `1953`, `1954`, `1955`, `1957`, `1958`, `1960`, `1961`, `1963`, `1965`, `1967`, `1968`, `1969`, `1971`, `1972`, `1973`, `1975`, `1978`, `1979`, `1980`, `1981`, `1983`, `1984`, `1985`, `1987`, `1988`, `1989`, `1990`, `1991`, `1992`, `1994`, `1995`, `1996`, `1997`, `1999`, `2002`, `2005`, `2007`, `2008`, `2010`, `2012`, `2013`, `2014`, `2015`, `2016`, `2017`, `2019`, `2020`, `2021`, `2024`, `2025`, `2027`, `2028`, `2029`, `2031`, `2032`, `2034`, `2036`, `2038`, `2040`, `2041`, `2042`, `2044`, `2046`, `2047`, `2048`, `1450`, `2050`, `2052`, `2053`, `2054`, `2055`, `2057`, `2060`, `2062`, `2063`, `2065`, `2068`, `2070`, `2072`, `2073`, `2075`, `2076`, `2078`, `2079`, `2081`, `2082`, `2085`, `2087`, `2089`, `2090`, `2091`, `2093`, `2094`, `2095`, `2096`, `2097`, `2098`, `2100`, `2102`, `2103`, `2104`, `2105`, `2107`, `2108`, `2109`, `2111`, `2113`, `2114`, `2115`, `2116`, `2118`, `2120`, `2121`, `2122`, `2123`, `2124`, `2125`, `2126`, `2127`, `2130`, `2132`, `2134`, `2135`, `2136`, `2139`, `2140`, `2141`, `2143`, `2145`, `2147`, `2149`, `2151`, `2153`, `2155`, `2157`, `2159`, `2161`, `2163`, `2165`, `2167`, `2169`, `2170`, `2172`, `2174`, `2176`, `2177`, `2178`, `2179`, `2180`, `2181`, `2182`, `2184`, `2186`, `2188`, `2189`, `2190`, `2191`, `2193`, `2195`, `2198`, `2199`, `2200`, `2201`, `2202`, `2204`, `2206`, `2209`, `2211`, `2213`, `2214`, `2215`, `2217`, `2218`, `2219`, `2221`, `2222`, `2224`, `2227`, `2228`, `2229`, `2230`, `2231`, `2232`, `2233`, `2234`, `2235`, `2237`, `2239`, `2241`, `2242`, `2243`, `2244`, `2245`, `2246`, `2248`, `2249`, `2251`, `2252`, `2253`, `2254`, `2255`, `2257`, `2259`, `2261`, `2262`, `2263`, `2265`, `2266`, `2267`, `2269`, `2271`, `2272`, `2273`, `2275`, `2276`, `2277`, `2279`, `2280`, `2283`, `2284`, `2285`, `2286`, `2287`, `2288`, `2291`, `2294`, `2296`, `2298`, `2300`, `2302`, `2303`, `2307`, `2309`, `2311`, `2312`, `2314`, `2316`, `2318`, `2320`, `2322`, `2324`, `2325`, `2328`, `2330`, `2331`, `2333`, `2335`, `2336`, `2337`, `2339`, `2341`, `2343`, `2345`, `2346`, `2348`, `2350`, `2351`, `2353`, `2354`, `2355`, `2356`, `2358`, `2360`, `2362`, `2363`, `2364`, `2366`, `2367`, `2368`, `2369`, `2372`, `2374`, `2376`, `2378`, `2379`, `2381`, `2384`, `2385`, `2386`, `2387`, `2388`, `2390`, `2391`, `2392`, `2394`, `2395`, `2396`, `2397`, `2399`, `2400`, `2402`, `2403`, `2404`, `2406`, `2407`, `2408`, `2409`, `2410`, `2412`, `2414`, `2415`, `2416`, `2417`, `2418`, `2419`, `2420`, `2421`, `2423`, `2424`, `2425`, `2427`, `2429`, `2430`, `2431`, `2433`, `2434`, `2435`, `2436`, `2437`, `2438`, `2439`, `2440`, `2441`, `2443`, `2444`, `2445`, `2446`, `2448`, `2450`, `2451`, `2453`, `2454`, `2455`, `2456`, `2457`, `2459`, `2460`, `2462`, `2464`, `2465`, `2466`, `2467`, `2468`, `2469`, `2471`, `2474`, `2475`, `2476`, `2479`, `2480`, `2482`, `2483`, `2484`, `2485`, `2486`, `2487`, `2488`, `2489`, `2490`, `2491`, `2492`, `2494`, `2495`, `2496`, `2497`, `2498`, `2499`, `2500`, `2502`, `2503`, `2505`, `2507`, `2508`, `2509`, `2510`, `2512`, `2513`, `2514`, `2515`, `2516`, `2518`, `2521`, `2522`, `2523`, `2524`, `2526`, `2527`, `2528`, `2529`, `2530`, `2531`, `2532`, `2533`, `2534`, `2535`, `2536`, `2537`, `2539`, `2541`, `2543`, `2545`, `2547`, `2549`, `2550`, `2552`, `2553`, `2555`, `2558`, `2559`, `2561`, `2563`, `2564`, `2566`, `2567`, `2568`, `2570`, `2571`, `2572`, `2573`, `2574`, `2576`, `2579`, `2581`, `2583`, `2584`, `2587`, `2589`, `2590`, `2591`, `2592`, `2594`, `2596`, `2597`, `2598`, `2599`, `2600`, `2602`, `2603`, `2604`, `2605`, `2607`, `2609`, `2610`, `2611`, `2612`, `2614`, `2615`, `2616`, `2618`, `2621`, `2622`, `2623`, `2625`, `2626`, `2628`, `2629`, `2631`, `2632`, `2633`, `2634`, `2635`, `2636`, `2638`, `2639`, `2640`, `1226`, `2641`, `2643`, `2644`, `2646`, `2647`, `2648`, `2649`, `2651`, `2653`, `2654`, `2655`, `2656`, `2657`, `2658`, `2659`, `2660`, `2661`, `2662`, `2663`, `2664`, `2665`, `2666`, `2667`, `2668`, `2669`, `2670`, `2671`, `2672`, `2673`, `2674`, `2675`, `2676`, `2677`, `2678`, `2679`, `2680`, `2681`, `2684`, `2686`, `2688`, `2689`, `2690`, `2693`, `2694`, `2695`, `2696`, `2698`, `2701`, `2703`, `2704`, `2706`, `2707`, `2708`, `2711`, `2712`, `2714`, `2715`, `2717`, `2719`, `2721`, `2724`, `2726`, `2728`, `2729`, `2730`, `2732`, `2735`, `2738`, `2740`, `2742`, `2743`, `2744`, `2746`, `2747`, `2748`, `2749`, `2751`, `2752`, `2753`, `2755`, `2757`, `2759`, `2760`, `2761`, `2762`, `2763`, `2764`, `2765`, `2766`, `2767`, `2768`, `2769`, `2770`, `2773`, `2774`, `2775`, `2776`, `2777`, `2779`, `2780`, `2782`, `2784`, `2787`, `2789`, `2790`, `2792`, `2794`, `2797`, `2798`, `2800`, `2802`, `2804`, `2808`, `2809`, `2810`, `2811`, `2812`, `2813`, `2815`, `2816`, `2817`, `2819`, `2821`, `2822`, `2823`, `2824`, `2825`, `2826`, `2827`, `2828`, `2831`, `2833`, `2834`, `2835`, `2836`, `2838`, `2839`, `2841`, `2842`, `2843`, `2844`, `2845`, `2846`, `2847`, `2848`, `2850`, `2852`, `2855`, `2856`, `2858`, `2861`, `2862`, `2863`, `2864`, `2866`, `2869`, `2872`, `2875`, `2876`, `2877`, `2878`, `2880`, `2881`, `2882`, `2883`, `2884`, `2885`, `2886`, `2887`, `2889`, `2890`, `2891`, `2893`, `2894`, `2895`, `2896`, `2898`, `2899`, `2900`, `2903`, `2904`, `2905`, `2906`, `2907`, `2908`, `2909`, `2910`, `2913`, `2915`, `2916`, `2917`, `2918`, `2920`, `2921`, `2922`, `2923`, `2924`, `2926`, `2928`, `2929`, `2930`, `2932`, `2934`, `2935`, `2936`, `2937`, `2938`, `2940`, `2942`, `2943`, `2944`, `2946`, `2948`, `2949`, `2950`, `2952`, `2953`, `2955`, `2956`, `2957`, `2958`, `2959`, `2961`, `2963`, `2965`, `2967`, `2969`, `2970`, `2972`, `2974`, `2976`, `2977`, `2979`, `2981`, `2982`, `2984`, `2985`, `2986`, `2988`, `2990`, `2992`, `2995`, `2996`, `2997`, `2999`, `3001`, `3002`, `3004`, `3005`, `3007`, `3011`, `3012`, `3013`, `3014`, `3017`, `3018`, `3019`, `3021`, `3022`, `3023`, `3024`, `3025`, `3027`, `3028`, `3030`, `3031`, `3032`, `3033`, `3035`, `3036`, `3037`, `3039`, `3040`, `3041`, `3042`, `3044`, `3046`, `3047`, `3048`, `3049`, `3051`, `3052`, `3053`, `3055`, `3057`, `3058`, `3060`, `3063`, `3064`, `3065`, `3067`, `3068`, `3070`, `3071`, `3073`, `3074`, `3075`, `3076`, `3078`, `3079`, `3080`, `3081`, `3082`, `3083`, `3084`, `3085`, `3086`, `3087`, `3088`, `3090`, `3091`, `3092`, `3093`, `3094`, `3095`, `3097`, `3099`, `3100`, `3101`, `3102`, `3103`, `3104`, `3105`, `3106`, `3107`, `3108`, `3109`, `3112`, `3113`, `3114`, `3116`, `3118`, `3120`, `3122`, `3123`, `3124`, `3126`, `3127`, `3129`, `3130`, `3131`, `3132`, `3133`, `3134`, `3135`, `3136`, `3137`, `3138`, `3139`, `3141`, `3142`, `3143`, `3144`, `3146`, `3147`, `3148`, `3149`, `3150`, `3153`, `3154`, `3155`, `3156`, `3158`, `3160`, `3161`, `3163`, `3164`, `3165`, `3167`, `3169`, `3171`, `3172`, `3174`, `3175`, `3177`, `3178`, `3180`, `3183`, `3185`, `3186`, `3187`, `3191`, `3192`, `3193`, `3194`, `3195`, `3196`, `3199`, `3201`, `3202`, `3205`, `3206`, `3207`, `3208`, `3210`, `3211`, `3212`, `3214`, `3215`, `3217`, `3218`, `3219`, `3220`, `3221`, `3222`, `3224`, `3225`, `3227`, `3228`, `3230`, `3232`, `3234`, `3235`, `3237`, `3239`, `3240`, `3241`, `3242`, `3244`, `3245`, `3246`, `3250`, `3253`, `3255`, `3257`, `3258`, `3259`, `3260`, `3261`, `3262`, `3263`, `3265`, `3267`, `3268`, `3269`, `3270`, `3271`, `3272`, `3273`, `3274`, `3275`, `3276`, `3277`, `3280`, `3281`, `3282`, `3283`, `3284`, `3285`, `3286`, `3287`, `3289`, `3290`, `3291`, `3292`, `3293`, `3294`, `3295`, `3296`, `3297`, `3298`, `3299`, `3300`, `3301`, `3302`, `3303`, `3306`, `3309`, `3310`, `3311`, `3312`, `3314`, `3315`, `3316`, `3317`, `3318`, `3319`, `3320`, `3321`, `3322`, `3324`, `3325`, `3328`, `3330`, `3333`, `3335`, `3337`, `3340`, `3343`, `3344`, `3346`, `3348`, `3350`, `3353`, `3357`, `3361`, `3362`, `3363`, `3365`, `3367`, `3370`, `3371`, `3372`, `3373`, `3374`, `3377`, `3378`, `3379`, `3380`, `3381`, `3382`, `3384`, `3386`, `3388`, `3390`, `3391`, `3393`, `3394`, `3395`, `3396`, `3397`, `3399`, `3400`, `3401`, `3402`, `3403`, `3404`, `3405`, `3406`, `3407`, `3408`, `3409`, `3411`, `3412`, `3413`, `3414`, `3418`, `3419`, `3421`, `3423`, `3424`, `3425`, `3427`, `3428`, `3431`, `3433`, `3434`, `3435`, `3437`, `3439`, `3440`, `3441`, `3442`, `3444`, `3445`, `3446`, `3447`, `3448`, `3449`, `3450`, `3451`, `3452`, `3454`, `3455`, `3456`, `3458`, `3459`, `3460`, `3462`, `3463`, `3464`, `3466`, `3467`, `3468`, `3470`, `3471`, `3472`, `3473`, `3475`, `3476`, `3477`, `3479`, `3481`, `3483`, `3485`, `3487`, `3488`, `3489`, `3490`, `3491`, `3492`, `3493`, `3494`, `3495`, `3496`, `3498`, `3499`, `3500`, `3501`, `3502`, `3503`, `3504`, `3505`, `3507`, `3508`, `3509`, `3510`, `3511`, `3513`, `3514`, `3515`, `3516`, `3517`, `3518`, `3519`, `3520`, `3521`, `3523`, `3524`, `3526`, `3529`, `3531`, `3532`, `3534`, `3536`, `3537`, `3539`, `3541`, `3542`, `3544`, `3546`, `3548`, `3550`, `3552`, `3553`, `3555`, `3556`, `3558`, `3559`, `3562`, `3564`, `3565`, `3567`, `3568`, `3569`, `3573`, `3575`, `3576`, `3577`, `3579`, `3580`, `3581`, `3582`, `3584`, `3585`, `3586`, `3588`, `3590`, `3591`, `3592`, `3594`, `3595`, `3597`, `3599`, `3601`, `3602`, `3603`, `3604`, `3605`, `3606`, `3607`, `3608`, `3609`, `3611`, `3613`, `3614`, `3616`, `3617`, `3618`, `3619`, `3621`, `3622`, `3624`, `3626`, `3628`, `3629`, `3630`, `3632`, `3633`, `3636`, `3637`, `3638`, `3639`, `3640`, `3642`, `3643`, `3645`, `3646`, `3647`, `3649`, `3651`, `3653`, `3655`, `3656`, `3657`, `3659`, `3661`, `3665`, `3666`, `3668`, `3672`, `3673`, `3675`, `3676`, `3678`, `3679`, `3681`, `3683`, `3685`, `3686`, `3688`, `3689`, `3690`, `3691`, `3692`, `3694`, `3696`, `3697`, `3698`, `3699`, `3700`, `3702`, `3704`, `3705`, `3706`, `3707`, `3708`, `3710`, `3711`, `3712`, `3713`, `3715`, `3716`, `3717`, `3719`, `3720`, `3721`, `3722`, `3723`, `3724`, `3725`, `3726`, `3727`, `3728`, `3729`, `3731`, `3732`, `3733`, `3735`, `3737`, `3741`, `3742`, `3743`, `3744`, `3745`, `3746`, `3748`, `3749`, `3750`, `3751`, `3752`, `3753`, `3754`, `3755`, `3756`, `3759`, `3760`, `3761`, `3762`, `3763`, `3764`, `3765`, `3766`, `3770`, `3771`, `3772`, `3773`, `3774`, `3776`, `3777`, `3778`, `3780`, `3781`, `3782`, `3784`, `3785`, `3786`, `3787`, `3788`, `3790`, `3791`, `3793`, `3794`, `3796`, `3797`, `3798`, `3799`, `3800`, `3801`, `3804`, `3805`, `3806`, `3807`, `3808`, `3809`, `3810`, `3811`, `3812`, `3813`, `3814`, `3815`, `3816`, `3817`, `3818`, `3820`, `3821`, `3822`, `3824`, `3825`, `3827`, `3828`, `3830`, `3831`, `3833`, `3834`, `3835`, `3836`, `3837`, `3839`, `3840`, `3841`, `3842`, `3845`, `3846`, `3847`, `3848`, `3849`, `3850`, `3851`, `3852`, `3855`, `3856`, `3859`, `3860`, `3861`, `3862`, `3863`, `3864`, `3867`, `3868`, `3870`, `3871`, `3872`, `3874`, `3876`, `3877`, `3880`, `3881`, `3882`, `3885`, `3887`, `3888`, `3889`, `3890`, `3891`, `3892`, `3895`, `3897`, `3898`, `3901`, `3903`, `3904`, `3905`, `3907`, `3909`, `3910`, `3912`, `3913`, `3914`, `3915`, `3916`, `3917`, `3919`, `3921`, `3922`, `3925`, `3926`, `3927`, `3929`, `3930`, `3932`, `3933`, `3939`, `3940`, `3941`, `3942`, `3943`, `3945`, `3946`, `3947`, `3948`, `3949`, `3951`, `3953`, `3954`, `3955`, `3957`, `3958`, `3959`, `3962`, `3964`, `3965`, `3968`, `3969`, `3971`, `3972`, `3974`, `3976`, `3978`, `3979`, `3980`, `3982`, `3983`, `3984`, `3985`, `3987`, `3989`, `3990`, `3991`, `3992`, `3993`, `3994`, `3995`, `3998`, `3999`, `4001`, `4003`, `4004`, `4007`, `4008`, `4009`, `4010`, `4012`, `4013`, `4014`, `4017`, `4019`, `4020`, `4021`, `4022`, `4023`, `4024`, `4025`, `4027`, `4028`, `4029`, `4030`, `4031`, `4033`, `4036`, `4037`, `4038`, `4039`, `4040`, `4041`, `4043`, `4045`, `4047`, `4048`, `4049`, `4051`, `4052`, `4054`, `4055`, `4056`, `4059`, `4060`, `4061`, `4063`, `4064`, `4067`, `4068`, `4069`, `4071`, `4074`, `4076`, `4077`, `4079`, `4081`, `4083`, `4084`, `4085`, `4086`, `4087`, `4088`, `4089`, `4090`, `4091`, `4092`, `4094`, `4095`, `4096`, `4097`, `4098`, `4101`, `4104`, `4105`, `4108`, `4109`, `4111`, `4112`, `4113`, `4114`, `4115`, `4116`, `4117`, `4118`, `4120`, `4121`, `4122`, `4123`, `4124`, `4125`, `4126`, `4127`, `4130`, `4131`, `4133`, `4134`, `4135`, `4136`, `4138`, `4139`, `4140`, `4141`, `4142`, `4143`, `4144`, `4146`, `4147`, `4148`, `4149`, `4151`, `4152`, `4153`, `4154`, `89`, `4155`, `4156`, `4157`, `4158`, `4159`, `4160`, `4161`, `4162`, `4163`, `4164`, `4165`, `4166`, `4167`, `4168`, `4170`, `4171`, `4172`, `4173`, `4174`, `4175`, `4176`, `4177`, `4178`, `4179`, `4180`, `4181`, `4182`, `4183`, `4184`, `4185`, `4186`, `4187`, `4188`, `4189`, `4190`, `4192`, `4193`, `4194`, `4195`, `4196`, `4197`, `4198`, `4199`, `4200`, `4201`, `4202`, `4204`, `4206`, `4207`, `4208`, `4210`, `4211`, `4212`, `4213`, `4214`, `4216`, `4217`, `4218`, `4219`, `4220`, `4221`, `4222`, `4223`, `4225`, `4226`, `4227`, `4228`, `4229`, `4230`, `4231`, `4232`, `4233`, `4236`, `4237`, `4238`, `4239`, `4240`, `4241`, `4243`, `4244`, `4247`, `4249`, `4250`, `4251`, `4252`, `4254`, `1454`, `4256`, `4258`, `4261`, `4262`, `4263`, `4265`, `4267`, `4269`, `4270`, `4271`, `4272`, `4274`, `4277`, `4279`, `4281`, `4282`, `4284`, `4287`, `4288`, `4290`, `4292`, `4293`, `4295`, `4296`, `4298`, `4299`, `4301`, `4303`, `4305`, `4307`, `4309`, `4310`, `4311`, `4312`, `4314`, `4316`, `4317`, `4318`, `4319`, `4321`, `4322`, `4324`, `4325`, `4326`, `4327`, `4328`, `4329`, `4330`, `4332`, `4333`, `4334`, `4335`, `4337`, `4339`, `4340`, `4342`, `4343`, `4344`, `4345`, `4347`, `4348`, `4349`, `4351`, `4353`, `4354`, `4356`, `4357`, `4358`, `4359`, `4360`, `4363`, `4364`, `4365`, `4366`, `4368`, `4369`, `4370`, `4371`, `4372`, `4373`, `4374`, `4375`, `4376`, `4377`, `4378`, `4380`, `4382`, `4384`, `4385`, `4387`, `4388`, `4389`, `4391`, `4392`, `4393`, `4394`, `4395`, `4396`, `4397`, `4398`, `4399`, `4400`, `4401`, `4402`, `4403`, `4404`, `4405`, `4406`, `4407`, `4408`, `4410`, `4411`, `4412`, `4413`, `4414`, `4415`, `4416`, `4418`, `4419`, `4420`, `4421`, `4422`, `4423`, `4424`, `4425`, `4427`, `4428`, `4429`, `4430`, `4433`, `4434`, `4436`, `4438`, `4441`, `4442`, `4444`, `4445`, `4447`, `4449`, `4450`, `4452`, `4453`, `4454`, `4457`, `4458`, `4460`, `4461`, `4463`, `4464`, `4465`, `4466`, `4467`, `4468`, `4469`, `4470`, `4471`, `4472`, `4473`, `4475`, `4476`, `4477`, `4478`, `4479`, `4480`, `4482`, `4484`, `4486`, `4487`, `4489`, `4490`, `4491`, `4493`, `4494`, `4495`, `4496`, `4497`, `4498`, `4500`, `4505`, `4506`, `4507`, `4508`, `4509`, `4510`, `4513`, `4514`, `4516`, `4517`, `4518`, `4519`, `4520`, `4521`, `4522`, `4523`, `4524`, `4525`, `4526`, `4527`, `4529`, `4530`, `4532`, `4533`, `4536`, `4538`, `4539`, `4540`, `4541`, `4542`, `4543`, `4544`, `4545`, `4546`, `4547`, `4548`, `4549`, `4550`, `4551`, `4553`, `4554`, `4555`, `4556`, `4557`, `4558`, `4559`, `4562`, `4563`, `4564`, `4565`, `4567`, `4569`, `4570`, `4571`, `4573`, `4574`, `4576`, `2037`, `4578`, `4579`, `4581`, `4584`, `4586`, `4588`, `4590`, `4591`, `4592`, `4593`, `4595`, `4596`, `4597`, `4599`, `4600`, `4601`, `4602`, `4603`, `4604`, `4605`, `4606`, `4607`, `4608`, `4609`, `4611`, `4612`, `4613`, `4614`, `4615`, `4616`, `4617`, `4618`, `4620`, `4622`, `4624`, `4625`, `4626`, `4627`, `4628`, `4629`, `4630`, `4631`, `4632`, `4633`, `4635`, `4636`, `4637`, `4638`, `4639`, `4640`, `4641`, `4644`, `4645`, `4646`, `4647`, `4648`, `4649`, `4650`, `4651`, `4652`, `4653`, `4654`, `4655`, `4656`, `4657`, `4659`, `4660`, `4663`, `4664`, `4665`, `4666`, `4668`, `4670`, `4671`, `4672`, `4674`, `4675`, `4676`, `4678`, `4679`, `4681`, `4682`, `4683`, `4684`, `4686`, `4687`, `4688`, `4689`, `4691`, `4692`, `4693`, `4694`, `4695`, `4696`, `4697`, `4698`, `4699`, `4700`, `4702`, `4703`, `4704`, `4705`, `4706`, `4707`, `4708`, `4711`, `4714`, `4716`, `4717`, `4718`, `4720`, `4722`, `4723`, `4724`, `4726`, `4727`, `4728`, `4729`, `4730`, `4733`, `4734`, `4735`, `4736`, `4737`, `4738`, `4739`, `4740`, `4741`, `4743`, `4744`, `4745`, `4748`, `4750`, `4751`, `4753`, `4754`, `4755`, `4756`, `4757`, `4759`, `4761`, `4762`, `4763`, `4764`, `4765`, `4766`, `4768`, `4769`, `4770`, `4771`, `4772`, `4774`, `4776`, `4777`, `4778`, `4779`, `4780`, `4781`, `4782`, `4783`, `4784`, `4785`, `4786`, `4787`, `4788`, `4789`, `4790`, `4791`, `4793`, `4795`, `4796`, `4798`, `4799`, `4801`, `4803`, `4804`, `4805`, `4806`, `4807`, `4808`, `4809`, `4811`, `4813`, `4815`, `4816`, `4817`, `4818`, `4819`, `4820`, `4821`, `4822`, `4823`, `4824`, `4825`, `4826`, `4827`, `4828` |
</details>
### Accuracy
| Type | Score |
| --- | --- |
| `TOKEN_F` | 99.89 |
| `TOKEN_P` | 99.89 |
| `TOKEN_R` | 99.90 |
| `TOKEN_ACC` | 99.98 |
| `SENTS_F` | 99.89 |
| `SENTS_P` | 99.89 |
| `SENTS_R` | 99.89 |
| `TAG_ACC` | 95.62 |
| `POS_ACC` | 99.05 |
| `MORPH_ACC` | 95.42 |
| `DEP_UAS` | 97.39 |
| `DEP_LAS` | 95.55 |
| `LEMMA_ACC` | 95.92 | |
aXhyra/irony_trained | aXhyra | 2021-12-10T21:49:28Z | 4 | 0 | transformers | [
"transformers",
"pytorch",
"distilbert",
"text-classification",
"generated_from_trainer",
"dataset:tweet_eval",
"license:apache-2.0",
"model-index",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | text-classification | 2022-03-02T23:29:05Z | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- tweet_eval
metrics:
- f1
model-index:
- name: irony_trained
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: tweet_eval
type: tweet_eval
args: irony
metrics:
- name: F1
type: f1
value: 0.6851011633121422
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# irony_trained
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the tweet_eval dataset.
It achieves the following results on the evaluation set:
- Loss: 1.6471
- F1: 0.6851
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 2.6774391860025942e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 0
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4
### Training results
| Training Loss | Epoch | Step | Validation Loss | F1 |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 0.6589 | 1.0 | 716 | 0.6187 | 0.6646 |
| 0.5494 | 2.0 | 1432 | 0.9314 | 0.6793 |
| 0.3369 | 3.0 | 2148 | 1.3468 | 0.6833 |
| 0.2129 | 4.0 | 2864 | 1.6471 | 0.6851 |
### Framework versions
- Transformers 4.12.5
- Pytorch 1.9.1
- Datasets 1.16.1
- Tokenizers 0.10.3
|
nateraw/rare-puppers-123 | nateraw | 2021-12-10T21:18:44Z | 95 | 0 | transformers | [
"transformers",
"pytorch",
"tensorboard",
"vit",
"image-classification",
"huggingpics",
"model-index",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | image-classification | 2022-03-02T23:29:05Z | ---
tags:
- image-classification
- pytorch
- huggingpics
metrics:
- accuracy
model-index:
- name: rare-puppers-123
results:
- task:
name: Image Classification
type: image-classification
metrics:
- name: Accuracy
type: accuracy
value: 0.9701492786407471
---
# rare-puppers-123
Autogenerated by HuggingPics🤗🖼️
Create your own image classifier for **anything** by running [the demo on Google Colab](https://colab.research.google.com/github/nateraw/huggingpics/blob/main/HuggingPics.ipynb).
Report any issues with the demo at the [github repo](https://github.com/nateraw/huggingpics).
## Example Images
#### corgi
#### samoyed
#### shiba inu
 |
nateraw/rare-puppers-new-auth | nateraw | 2021-12-10T20:51:18Z | 71 | 0 | transformers | [
"transformers",
"pytorch",
"tensorboard",
"vit",
"image-classification",
"huggingpics",
"model-index",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | image-classification | 2022-03-02T23:29:05Z | ---
tags:
- image-classification
- pytorch
- huggingpics
metrics:
- accuracy
model-index:
- name: rare-puppers-new-auth
results:
- task:
name: Image Classification
type: image-classification
metrics:
- name: Accuracy
type: accuracy
value: 0.89552241563797
---
# rare-puppers-new-auth
Autogenerated by HuggingPics🤗🖼️
Create your own image classifier for **anything** by running [the demo on Google Colab](https://colab.research.google.com/github/nateraw/huggingpics/blob/main/HuggingPics.ipynb).
Report any issues with the demo at the [github repo](https://github.com/nateraw/huggingpics).
## Example Images
#### corgi
#### samoyed
#### shiba inu
 |
explosion/nb_udv25_norwegiannynorsk_trf | explosion | 2021-12-10T20:45:29Z | 1 | 0 | spacy | [
"spacy",
"token-classification",
"nb",
"license:cc-by-sa-4.0",
"model-index",
"region:us"
] | token-classification | 2022-03-02T23:29:05Z | ---
tags:
- spacy
- token-classification
language:
- nb
license: cc-by-sa-4.0
model-index:
- name: nb_udv25_norwegiannynorsk_trf
results:
- task:
name: TAG
type: token-classification
metrics:
- name: TAG (XPOS) Accuracy
type: accuracy
value: 0.9833263993
- task:
name: POS
type: token-classification
metrics:
- name: POS (UPOS) Accuracy
type: accuracy
value: 0.9833584024
- task:
name: MORPH
type: token-classification
metrics:
- name: Morph (UFeats) Accuracy
type: accuracy
value: 0.9790699907
- task:
name: LEMMA
type: token-classification
metrics:
- name: Lemma Accuracy
type: accuracy
value: 0.9828149002
- task:
name: UNLABELED_DEPENDENCIES
type: token-classification
metrics:
- name: Unlabeled Attachment Score (UAS)
type: f_score
value: 0.9411235308
- task:
name: LABELED_DEPENDENCIES
type: token-classification
metrics:
- name: Labeled Attachment Score (LAS)
type: f_score
value: 0.9214320428
- task:
name: SENTS
type: token-classification
metrics:
- name: Sentences F-Score
type: f_score
value: 0.9910005294
---
UD v2.5 benchmarking pipeline for UD_Norwegian-Nynorsk
| Feature | Description |
| --- | --- |
| **Name** | `nb_udv25_norwegiannynorsk_trf` |
| **Version** | `0.0.1` |
| **spaCy** | `>=3.2.1,<3.3.0` |
| **Default Pipeline** | `experimental_char_ner_tokenizer`, `transformer`, `tagger`, `morphologizer`, `parser`, `experimental_edit_tree_lemmatizer` |
| **Components** | `experimental_char_ner_tokenizer`, `transformer`, `senter`, `tagger`, `morphologizer`, `parser`, `experimental_edit_tree_lemmatizer` |
| **Vectors** | 0 keys, 0 unique vectors (0 dimensions) |
| **Sources** | [Universal Dependencies v2.5](https://lindat.mff.cuni.cz/repository/xmlui/handle/11234/1-3105) (Zeman, Daniel; et al.) |
| **License** | `CC BY-SA 4.0` |
| **Author** | [Explosion](https://explosion.ai) |
### Label Scheme
<details>
<summary>View label scheme (1400 labels for 6 components)</summary>
| Component | Labels |
| --- | --- |
| **`experimental_char_ner_tokenizer`** | `TOKEN` |
| **`senter`** | `I`, `S` |
| **`tagger`** | `ADJ`, `ADP`, `ADV`, `AUX`, `CCONJ`, `DET`, `INTJ`, `NOUN`, `NUM`, `PART`, `PRON`, `PROPN`, `PUNCT`, `SCONJ`, `SYM`, `VERB`, `X` |
| **`morphologizer`** | `Number=Plur\|POS=DET\|PronType=Ind`, `Definite=Ind\|Gender=Masc\|Number=Plur\|POS=NOUN`, `POS=ADP`, `Definite=Def\|Gender=Masc\|Number=Sing\|POS=NOUN`, `POS=PUNCT`, `Gender=Masc\|POS=NOUN`, `POS=CCONJ`, `Definite=Ind\|Number=Plur\|POS=NOUN`, `Animacy=Hum\|Case=Nom\|Number=Sing\|POS=PRON\|Person=1\|PronType=Prs`, `Mood=Ind\|POS=VERB\|Tense=Past\|VerbForm=Fin`, `Definite=Ind\|Gender=Masc\|Number=Sing\|POS=NOUN`, `POS=NOUN`, `POS=PROPN`, `Gender=Neut\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs`, `Mood=Ind\|POS=AUX\|Tense=Past\|VerbForm=Fin`, `Definite=Ind\|Degree=Pos\|Gender=Neut\|Number=Sing\|POS=ADJ`, `Animacy=Hum\|Case=Nom\|Number=Plur\|POS=PRON\|Person=1\|PronType=Prs`, `POS=ADV`, `Definite=Ind\|Degree=Pos\|Number=Sing\|POS=ADJ`, `Definite=Ind\|Gender=Fem\|Number=Sing\|POS=NOUN`, `Gender=Masc\|Number=Sing\|POS=PRON\|Poss=Yes\|PronType=Prs`, `Definite=Def\|Degree=Pos\|Number=Sing\|POS=ADJ`, `Definite=Def\|Gender=Neut\|Number=Sing\|POS=NOUN`, `POS=SCONJ`, `Gender=Neut\|Number=Sing\|POS=PRON\|Poss=Yes\|PronType=Prs`, `Definite=Ind\|Gender=Neut\|Number=Sing\|POS=NOUN`, `Mood=Ind\|POS=AUX\|Tense=Pres\|VerbForm=Fin`, `POS=PART`, `POS=VERB\|VerbForm=Inf`, `POS=PRON\|PronType=Rel`, `POS=VERB\|VerbForm=Part`, `Animacy=Hum\|Case=Acc\|Number=Sing\|POS=PRON\|Person=1\|PronType=Prs`, `Degree=Pos\|Number=Plur\|POS=ADJ`, `Number=Plur\|POS=DET\|PronType=Dem`, `Definite=Ind\|Gender=Neut\|Number=Plur\|POS=NOUN`, `Abbr=Yes\|POS=NOUN`, `Definite=Ind\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=ADJ`, `Abbr=Yes\|POS=ADV`, `Mood=Ind\|POS=VERB\|Tense=Pres\|VerbForm=Fin`, `Degree=Cmp\|POS=ADJ`, `POS=ADJ\|VerbForm=Part`, `Case=Nom\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs`, `POS=DET\|PronType=Int`, `POS=AUX\|VerbForm=Inf`, `Definite=Def\|Gender=Masc\|Number=Plur\|POS=NOUN`, `Gender=Neut\|Number=Sing\|POS=DET\|PronType=Dem`, `Definite=Def\|Gender=Fem\|Number=Plur\|POS=NOUN`, `Definite=Def\|Gender=Neut\|Number=Plur\|POS=NOUN`, `Case=Acc\|Number=Sing\|POS=PRON\|PronType=Prs`, `Gender=Fem\|Number=Sing\|POS=DET\|PronType=Dem`, `Definite=Def\|Gender=Fem\|Number=Sing\|POS=NOUN`, `Gender=Fem\|Number=Sing\|POS=PRON\|Poss=Yes\|PronType=Prs`, `Abbr=Yes\|POS=ADJ`, `POS=PART\|Polarity=Neg`, `Gender=Masc\|Number=Sing\|POS=DET\|PronType=Art`, `POS=INTJ`, `Animacy=Hum\|Number=Sing\|POS=PRON\|PronType=Art,Prs`, `Gender=Neut\|Number=Sing\|POS=DET\|PronType=Art`, `Case=Gen\|POS=PROPN`, `Animacy=Hum\|Case=Nom\|Number=Plur\|POS=PRON\|Person=3\|PronType=Prs`, `Definite=Ind\|Gender=Neut\|Number=Sing\|POS=ADJ\|VerbForm=Part`, `Definite=Ind\|Number=Sing\|POS=ADJ\|VerbForm=Part`, `Definite=Ind\|Gender=Fem\|Number=Plur\|POS=NOUN`, `Definite=Ind\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Dem`, `Number=Plur\|POS=DET\|Polarity=Neg\|PronType=Neg`, `Animacy=Hum\|Case=Acc\|Number=Plur\|POS=PRON\|Person=3\|PronType=Prs`, `Animacy=Hum\|Case=Acc\|Number=Plur\|POS=PRON\|Person=2\|PronType=Prs`, `Animacy=Hum\|Case=Nom\|Number=Plur\|POS=PRON\|Person=2\|PronType=Prs`, `Gender=Fem\|Number=Sing\|POS=DET\|PronType=Art`, `Case=Gen\|Definite=Def\|Gender=Neut\|Number=Sing\|POS=NOUN`, `POS=PRON\|PronType=Int`, `Case=Gen\|Definite=Ind\|Gender=Neut\|Number=Sing\|POS=NOUN`, `Definite=Ind\|Gender=Neut\|Number=Sing\|POS=DET\|PronType=Dem`, `NumType=Card\|POS=NUM`, `Gender=Masc\|Number=Sing\|POS=DET\|PronType=Dem`, `Number=Plur\|POS=DET\|PronType=Tot`, `Definite=Ind\|Degree=Sup\|POS=ADJ`, `NumType=Card\|Number=Plur\|POS=NUM`, `Definite=Def\|POS=DET\|PronType=Prs`, `Case=Gen\|Definite=Def\|Gender=Fem\|Number=Sing\|POS=NOUN`, `Mood=Imp\|POS=VERB\|VerbForm=Fin`, `Gender=Neut\|Number=Sing\|POS=DET\|PronType=Ind`, `Definite=Def\|POS=DET\|PronType=Dem`, `POS=X`, `Case=Gen\|Gender=Masc\|POS=NOUN`, `POS=AUX\|VerbForm=Part`, `Number=Plur\|POS=ADJ\|VerbForm=Part`, `Case=Acc\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs`, `Number=Sing\|POS=DET\|PronType=Tot`, `Number=Plur\|POS=PRON\|Person=3\|PronType=Prs`, `Case=Gen\|Definite=Ind\|Gender=Masc\|Number=Sing\|POS=NOUN`, `Animacy=Hum\|Number=Plur\|POS=PRON\|PronType=Rcp`, `Definite=Def\|Degree=Sup\|POS=ADJ`, `Gender=Masc\|NumType=Card\|Number=Sing\|POS=NUM`, `POS=DET\|PronType=Prs`, `Gender=Masc\|Number=Sing\|POS=DET\|PronType=Ind`, `Gender=Neut\|Number=Sing\|POS=PRON\|Person=3\|PronType=Ind,Prs`, `Definite=Ind\|Degree=Pos\|POS=ADJ`, `Number=Plur\|POS=PRON\|Poss=Yes\|PronType=Prs`, `Gender=Masc\|Number=Sing\|POS=DET\|PronType=Tot`, `POS=SYM`, `Gender=Neut\|Number=Sing\|POS=DET\|PronType=Tot`, `Number=Plur\|POS=NOUN`, `Definite=Ind\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Prs`, `Case=Gen\|Definite=Def\|Gender=Masc\|Number=Sing\|POS=NOUN`, `Gender=Fem,Masc\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs`, `Abbr=Yes\|POS=PRON\|PronType=Prs`, `Abbr=Yes\|Mood=Ind\|POS=VERB\|Tense=Pres\|VerbForm=Fin`, `POS=ADJ`, `Gender=Neut\|POS=NOUN`, `Animacy=Hum\|Case=Acc\|Number=Plur\|POS=PRON\|Person=1\|PronType=Prs`, `Definite=Ind\|Gender=Neut\|Number=Sing\|POS=DET\|PronType=Prs`, `Definite=Ind\|Gender=Fem\|Number=Sing\|POS=DET\|PronType=Dem`, `Gender=Fem\|POS=NOUN`, `Degree=Pos\|POS=ADJ`, `Definite=Def\|NumType=Card\|Number=Sing\|POS=NUM`, `Animacy=Hum\|Case=Nom\|Number=Sing\|POS=PRON\|Person=2\|PronType=Prs`, `Animacy=Hum\|Case=Acc\|Number=Sing\|POS=PRON\|Person=2\|PronType=Prs`, `Definite=Def\|NumType=Card\|POS=NUM`, `Case=Nom\|Gender=Fem\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs`, `Gender=Fem\|Number=Sing\|POS=DET\|PronType=Tot`, `Number=Plur\|POS=PRON\|Person=3\|PronType=Prs,Tot`, `Case=Acc\|Gender=Fem\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs`, `Gender=Fem\|Number=Sing\|POS=DET\|Polarity=Neg\|PronType=Neg`, `Gender=Fem\|NumType=Card\|Number=Sing\|POS=NUM`, `Definite=Def\|Number=Sing\|POS=ADJ\|VerbForm=Part`, `Definite=Ind\|Degree=Pos\|Gender=Fem\|Number=Sing\|POS=ADJ`, `Animacy=Hum\|POS=PRON\|PronType=Int`, `Mood=Imp\|POS=AUX\|VerbForm=Fin`, `Case=Gen\|Definite=Def\|Gender=Neut\|Number=Plur\|POS=NOUN`, `Number=Plur\|POS=DET\|PronType=Prs`, `Case=Gen\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Dem`, `Abbr=Yes\|POS=CCONJ`, `Number=Plur\|POS=PRON\|Person=3\|Polarity=Neg\|PronType=Neg,Prs`, `Gender=Masc\|Number=Sing\|POS=PRON\|Person=3\|PronType=Ind,Prs`, `Definite=Def\|Number=Sing\|POS=DET\|PronType=Dem`, `Number=Plur\|POS=ADJ`, `Gender=Masc\|Number=Sing\|POS=DET\|Polarity=Neg\|PronType=Neg`, `Definite=Ind\|Gender=Fem\|Number=Sing\|POS=DET\|PronType=Prs`, `Gender=Masc\|Number=Sing\|POS=PRON\|Person=3\|Polarity=Neg\|PronType=Neg,Prs`, `Abbr=Yes\|Case=Gen\|POS=NOUN`, `Case=Gen\|Definite=Ind\|Gender=Neut\|Number=Plur\|POS=NOUN`, `Case=Gen\|Number=Plur\|POS=DET\|PronType=Dem`, `Definite=Def\|POS=ADV`, `Number=Sing\|POS=PRON\|Polarity=Neg\|PronType=Neg`, `Case=Gen\|Definite=Ind\|Gender=Masc\|Number=Plur\|POS=NOUN`, `Abbr=Yes\|Definite=Def,Ind\|Gender=Neut\|Number=Plur,Sing\|POS=NOUN`, `Gender=Neut\|Number=Sing\|POS=DET\|PronType=Prs`, `Number=Plur\|POS=PRON\|Person=3\|PronType=Ind,Prs`, `Case=Gen\|Definite=Def\|Degree=Pos\|Number=Sing\|POS=ADJ`, `Abbr=Yes\|POS=ADP`, `Gender=Fem\|Number=Sing\|POS=DET\|PronType=Ind`, `Case=Gen\|Definite=Ind\|Degree=Pos\|Number=Sing\|POS=ADJ`, `Animacy=Hum\|Case=Nom\|POS=PRON\|Person=1\|PronType=Prs`, `Case=Gen\|Definite=Def\|Gender=Masc\|Number=Plur\|POS=NOUN`, `Gender=Neut\|NumType=Card\|Number=Sing\|POS=NUM`, `Gender=Fem\|Number=Sing\|POS=PRON\|Person=3\|PronType=Art,Prs`, `Definite=Def\|Number=Plur\|POS=NOUN`, `Abbr=Yes\|Gender=Masc\|POS=NOUN`, `Case=Gen\|POS=NOUN`, `Definite=Ind\|Gender=Fem\|Number=Sing\|POS=ADJ\|VerbForm=Part`, `Case=Gen\|Definite=Ind\|Gender=Fem\|Number=Sing\|POS=NOUN`, `Case=Gen\|Degree=Pos\|Number=Plur\|POS=ADJ`, `POS=PRON\|PronType=Prs`, `POS=ADV\|VerbForm=Inf`, `Degree=Sup\|POS=ADJ`, `Definite=Ind\|Degree=Pos\|Gender=Neut\|POS=ADJ`, `Definite=Ind\|Gender=Masc\|POS=NOUN`, `Animacy=Hum\|Case=Nom\|Gender=Masc\|POS=PRON\|Person=3\|PronType=Prs`, `Abbr=Yes\|POS=PROPN`, `Case=Gen\|Gender=Neut\|Number=Sing\|POS=DET\|PronType=Dem`, `Definite=Ind\|Gender=Neut\|Number=Sing\|POS=VERB\|VerbForm=Part`, `Gender=Neut\|POS=PRON\|Person=3\|PronType=Prs`, `Case=Gen\|Gender=Fem\|POS=NOUN`, `Case=Gen\|Gender=Neut\|POS=NOUN`, `Definite=Def\|POS=ADJ\|VerbForm=Part`, `POS=DET\|PronType=Dem`, `Definite=Ind\|Gender=Neut\|Number=Sing\|POS=ADJ`, `Case=Gen\|Definite=Ind\|Gender=Fem\|Number=Plur\|POS=NOUN`, `Definite=Ind\|Degree=Pos\|Number=Sing\|POS=ADJ\|VerbForm=Part`, `Definite=Ind\|Degree=Pos\|Gender=Neut\|Number=Sing\|POS=ADJ\|VerbForm=Part`, `Case=Gen\|Definite=Def\|Gender=Fem\|Number=Plur\|POS=NOUN`, `Definite=Ind\|Number=Plur\|POS=ADJ\|VerbForm=Part`, `NumType=Card\|POS=NUM\|PronType=Dem`, `Definite=Ind\|Number=Sing\|POS=VERB\|VerbForm=Part` |
| **`parser`** | `ROOT`, `acl`, `acl:cleft`, `acl:relcl`, `advcl`, `advmod`, `amod`, `appos`, `aux`, `aux:pass`, `case`, `cc`, `ccomp`, `compound`, `compound:prt`, `conj`, `cop`, `csubj`, `dep`, `det`, `discourse`, `expl`, `flat:foreign`, `flat:name`, `iobj`, `mark`, `nmod`, `nsubj`, `nsubj:pass`, `nummod`, `obj`, `obl`, `orphan`, `parataxis`, `punct`, `reparandum`, `xcomp` |
| **`experimental_edit_tree_lemmatizer`** | `2`, `4`, `5`, `7`, `9`, `11`, `13`, `17`, `19`, `21`, `23`, `25`, `29`, `31`, `35`, `38`, `40`, `42`, `44`, `45`, `47`, `49`, `51`, `53`, `55`, `56`, `58`, `62`, `65`, `67`, `70`, `72`, `75`, `77`, `79`, `80`, `82`, `84`, `86`, `88`, `90`, `92`, `95`, `98`, `100`, `102`, `104`, `106`, `107`, `108`, `110`, `112`, `114`, `119`, `121`, `123`, `126`, `128`, `130`, `132`, `134`, `136`, `138`, `141`, `143`, `145`, `146`, `148`, `150`, `152`, `154`, `156`, `158`, `160`, `162`, `164`, `165`, `167`, `170`, `171`, `172`, `174`, `175`, `177`, `178`, `180`, `182`, `185`, `186`, `189`, `191`, `193`, `196`, `198`, `202`, `203`, `207`, `209`, `212`, `214`, `217`, `220`, `222`, `224`, `225`, `227`, `228`, `231`, `233`, `235`, `238`, `239`, `241`, `245`, `247`, `248`, `250`, `253`, `255`, `256`, `259`, `262`, `263`, `265`, `266`, `268`, `270`, `271`, `274`, `275`, `277`, `279`, `280`, `282`, `285`, `288`, `290`, `292`, `294`, `296`, `298`, `299`, `302`, `306`, `309`, `310`, `313`, `316`, `318`, `320`, `321`, `322`, `323`, `324`, `327`, `329`, `330`, `332`, `334`, `335`, `337`, `340`, `341`, `342`, `343`, `345`, `346`, `347`, `349`, `350`, `352`, `354`, `355`, `356`, `357`, `358`, `360`, `362`, `363`, `365`, `366`, `368`, `370`, `371`, `373`, `375`, `378`, `379`, `380`, `383`, `384`, `385`, `386`, `388`, `389`, `392`, `393`, `394`, `395`, `397`, `398`, `399`, `400`, `401`, `403`, `405`, `407`, `408`, `410`, `412`, `413`, `415`, `417`, `419`, `420`, `423`, `424`, `425`, `426`, `427`, `429`, `431`, `432`, `433`, `435`, `438`, `440`, `442`, `444`, `446`, `447`, `448`, `449`, `451`, `452`, `454`, `456`, `458`, `459`, `462`, `465`, `466`, `468`, `469`, `470`, `471`, `473`, `475`, `476`, `478`, `479`, `481`, `482`, `484`, `485`, `488`, `489`, `490`, `492`, `495`, `497`, `501`, `503`, `505`, `507`, `508`, `510`, `512`, `513`, `515`, `517`, `518`, `520`, `521`, `523`, `524`, `526`, `527`, `529`, `530`, `531`, `534`, `536`, `537`, `538`, `539`, `541`, `543`, `544`, `545`, `547`, `548`, `549`, `551`, `552`, `553`, `556`, `557`, `558`, `559`, `561`, `562`, `564`, `565`, `567`, `568`, `569`, `571`, `573`, `574`, `577`, `578`, `580`, `581`, `582`, `583`, `584`, `585`, `589`, `591`, `593`, `594`, `596`, `598`, `599`, `602`, `603`, `604`, `605`, `607`, `609`, `611`, `613`, `615`, `616`, `617`, `619`, `621`, `622`, `623`, `625`, `627`, `629`, `630`, `631`, `632`, `633`, `635`, `636`, `637`, `639`, `640`, `641`, `642`, `644`, `645`, `647`, `648`, `649`, `651`, `652`, `653`, `655`, `659`, `660`, `661`, `662`, `663`, `664`, `665`, `666`, `668`, `671`, `672`, `673`, `675`, `676`, `677`, `678`, `679`, `680`, `684`, `687`, `688`, `689`, `184`, `690`, `692`, `261`, `694`, `695`, `696`, `698`, `701`, `702`, `705`, `707`, `709`, `710`, `711`, `714`, `715`, `716`, `718`, `720`, `721`, `723`, `725`, `727`, `729`, `731`, `732`, `735`, `737`, `738`, `739`, `740`, `743`, `744`, `746`, `747`, `749`, `750`, `751`, `752`, `753`, `754`, `755`, `756`, `758`, `760`, `761`, `762`, `765`, `768`, `769`, `770`, `772`, `773`, `775`, `777`, `778`, `780`, `781`, `784`, `785`, `787`, `789`, `791`, `792`, `793`, `795`, `796`, `798`, `799`, `801`, `803`, `805`, `806`, `808`, `810`, `811`, `815`, `816`, `817`, `818`, `819`, `820`, `821`, `822`, `825`, `827`, `828`, `829`, `830`, `832`, `833`, `834`, `835`, `836`, `837`, `839`, `840`, `842`, `843`, `845`, `846`, `847`, `849`, `850`, `851`, `852`, `854`, `855`, `857`, `860`, `861`, `862`, `863`, `865`, `867`, `868`, `870`, `872`, `874`, `875`, `876`, `877`, `878`, `879`, `881`, `883`, `884`, `885`, `887`, `889`, `890`, `891`, `894`, `895`, `897`, `898`, `900`, `902`, `905`, `907`, `909`, `910`, `911`, `912`, `913`, `914`, `915`, `917`, `919`, `921`, `922`, `926`, `928`, `929`, `930`, `931`, `932`, `933`, `935`, `936`, `939`, `940`, `941`, `943`, `944`, `946`, `948`, `949`, `950`, `951`, `952`, `953`, `955`, `957`, `958`, `960`, `961`, `962`, `963`, `964`, `965`, `966`, `967`, `968`, `970`, `971`, `973`, `974`, `976`, `977`, `978`, `979`, `980`, `982`, `983`, `984`, `986`, `988`, `989`, `990`, `992`, `993`, `995`, `997`, `999`, `1000`, `1001`, `1003`, `1006`, `1007`, `1009`, `1010`, `1011`, `1012`, `1014`, `1015`, `1016`, `1019`, `1020`, `1021`, `1023`, `1024`, `1025`, `1027`, `1028`, `1030`, `1032`, `1033`, `1034`, `1036`, `1037`, `1040`, `1043`, `1044`, `1046`, `1048`, `1050`, `1051`, `1053`, `1055`, `1056`, `1057`, `1058`, `1059`, `1060`, `1061`, `1062`, `1064`, `1065`, `1067`, `1068`, `1069`, `1071`, `1072`, `1073`, `1077`, `1078`, `1079`, `1080`, `1082`, `1083`, `1084`, `1085`, `1087`, `1088`, `1090`, `1092`, `1096`, `1098`, `1100`, `1102`, `1104`, `1106`, `1107`, `1110`, `1112`, `1114`, `1116`, `1118`, `1120`, `1121`, `1124`, `1127`, `1128`, `1130`, `1131`, `1133`, `1134`, `1135`, `1138`, `1139`, `1141`, `1142`, `1143`, `1146`, `1147`, `1150`, `1151`, `1154`, `1156`, `1157`, `1158`, `1160`, `1161`, `1162`, `1163`, `1165`, `1166`, `1168`, `1170`, `1172`, `1173`, `1174`, `1175`, `1176`, `1177`, `1180`, `1183`, `1186`, `1187`, `1190`, `1192`, `1193`, `1194`, `1195`, `1198`, `1199`, `1200`, `1202`, `1205`, `1207`, `1208`, `1209`, `1210`, `1212`, `1213`, `1214`, `1215`, `1216`, `1217`, `1219`, `1220`, `1221`, `1222`, `1224`, `1225`, `1226`, `1227`, `1229`, `1231`, `1232`, `1235`, `1236`, `1239`, `1240`, `1241`, `1243`, `1244`, `1245`, `1248`, `1250`, `1251`, `1252`, `1253`, `1254`, `1255`, `1258`, `1259`, `1260`, `1261`, `1263`, `1265`, `1266`, `1267`, `1268`, `1269`, `1270`, `1271`, `1272`, `1273`, `1274`, `1275`, `1278`, `1279`, `1280`, `1281`, `1282`, `1283`, `1285`, `1286`, `1287`, `1289`, `1291`, `1293`, `1294`, `1295`, `1296`, `1298`, `1299`, `1300`, `1301`, `1302`, `1303`, `1304`, `1307`, `1308`, `1309`, `1311`, `1312`, `1315`, `1317`, `1319`, `1320`, `1322`, `1324`, `1325`, `1326`, `1327`, `1329`, `1330`, `1331`, `1332`, `1333`, `1334`, `1335`, `1337`, `1338`, `1340`, `1341`, `1342`, `1343`, `1345`, `1347`, `1348`, `1349`, `1350`, `1351`, `1353`, `1354`, `1356`, `1359`, `1360`, `1362`, `1363`, `1364`, `1365`, `1366`, `1367`, `1369`, `1370`, `1372`, `1374`, `1376`, `1377`, `1378`, `1379`, `1380`, `1382`, `1383`, `1385`, `1386`, `1390`, `1391`, `1257`, `1392`, `1393`, `1394`, `1395`, `1396`, `1397`, `1398`, `1399`, `1400`, `1402`, `1403`, `1404`, `1405`, `1408`, `1409`, `1411`, `576`, `1413`, `1414`, `1416`, `1417`, `1419`, `1420`, `1421`, `1422`, `1423`, `1426`, `1429`, `1430`, `1433`, `1435`, `1436`, `1437`, `1439`, `1441`, `1442`, `1443`, `1444`, `1445`, `1447`, `1448`, `1449`, `1451`, `1452`, `1453`, `1454`, `1456`, `1457`, `1460`, `1462`, `1463`, `1465`, `1467`, `1468`, `1469`, `1470`, `1471`, `1472`, `1474`, `1476`, `1477`, `1478`, `1479`, `1481`, `1484`, `1486`, `1489`, `1492`, `1494`, `1496`, `1498`, `1499`, `1501`, `1504`, `1505`, `1506`, `1508`, `1510`, `1511`, `1512`, `1513`, `1514`, `1517`, `1518`, `1520`, `1521`, `1522`, `1524`, `1525`, `1526`, `1528`, `1531`, `1533`, `1535`, `1536`, `1537`, `1538`, `1540`, `1543`, `1544`, `1546`, `1547`, `1549`, `1550`, `1552`, `1555`, `1558`, `1559`, `1560`, `1561`, `1563`, `1565`, `1566`, `1567`, `1570`, `1572`, `1574`, `1576`, `1578`, `1579`, `1580`, `1582`, `1585`, `1587`, `1589`, `1590`, `1591`, `1593`, `1595`, `1596`, `1597`, `1598`, `1599`, `1600`, `1601`, `1604`, `1608`, `1610`, `1611`, `1612`, `1613`, `1614`, `1616`, `1617`, `1618`, `1620`, `1621`, `1623`, `1624`, `1625`, `1626`, `1627`, `1628`, `1631`, `1632`, `1635`, `1636`, `1638`, `1639`, `1641`, `1642`, `1643`, `1644`, `1645`, `1647`, `1648`, `1651`, `1653`, `1654`, `1655`, `1657`, `1658`, `1659`, `1660`, `1661`, `1662`, `1664`, `1666`, `1669`, `1673`, `1676`, `1677`, `1679`, `1682`, `1684`, `1686`, `1689`, `1690`, `1691`, `1692`, `1694`, `1696`, `1697`, `1699`, `1701`, `1702`, `1703`, `1705`, `1706`, `1708`, `1709`, `1711`, `1712`, `1713`, `1715`, `1717`, `1718`, `1720`, `1722`, `1724`, `1725`, `1726`, `1728`, `1730`, `1732`, `1734`, `1736`, `1738`, `1741`, `1743`, `1745`, `1747`, `1748`, `1749`, `1750`, `1751`, `1753`, `1754`, `1755`, `1756`, `1757`, `1758`, `1761`, `1763`, `1765`, `1767`, `1771`, `1774`, `1777`, `1779`, `1781`, `1783`, `1785`, `1786`, `1789`, `1791`, `1792`, `1793`, `1794`, `1795`, `1797`, `1800`, `1803`, `1806`, `1808`, `1810`, `1811`, `1812`, `1813`, `1816`, `1818`, `1820`, `1821`, `1823`, `1827`, `1829`, `1831`, `1832`, `1833`, `1835`, `1837`, `1838`, `1840`, `1842`, `1843`, `1844`, `1845`, `1848`, `1849`, `1851`, `1852`, `1854`, `1855`, `1857`, `1858`, `1859`, `1861`, `1862`, `1863`, `1866`, `1868`, `1871`, `1873`, `1874`, `1875`, `1876`, `1877`, `1879`, `1882`, `1884`, `1885`, `1887`, `1889`, `1890`, `1891`, `1892`, `1894`, `1896` |
</details>
### Accuracy
| Type | Score |
| --- | --- |
| `TOKEN_F` | 99.96 |
| `TOKEN_P` | 99.96 |
| `TOKEN_R` | 99.96 |
| `TOKEN_ACC` | 99.99 |
| `SENTS_F` | 99.10 |
| `SENTS_P` | 99.15 |
| `SENTS_R` | 99.05 |
| `TAG_ACC` | 98.33 |
| `POS_ACC` | 98.34 |
| `MORPH_ACC` | 97.91 |
| `DEP_UAS` | 94.11 |
| `DEP_LAS` | 92.14 |
| `LEMMA_ACC` | 98.28 | |
nalini2799/CDAC_hindispeechrecognition | nalini2799 | 2021-12-10T20:20:58Z | 39 | 1 | transformers | [
"transformers",
"pytorch",
"wav2vec2",
"automatic-speech-recognition",
"audio",
"speech",
"xlsr-fine-tuning-week",
"hi",
"license:apache-2.0",
"model-index",
"endpoints_compatible",
"region:us"
] | automatic-speech-recognition | 2022-03-02T23:29:05Z | ---
language: hi
datasets:
- Interspeech 2021
metrics:
- wer
tags:
- audio
- automatic-speech-recognition
- speech
- xlsr-fine-tuning-week
license: apache-2.0
model-index:
- name: XLSR Wav2Vec2 Hindi by Nalini Kumari
results:
- task:
name: Speech Recognition
type: automatic-speech-recognition
dataset:
name: Common Voice hi
type: common_voice
args: hi
metrics:
- name: Test WER
type: wer
value: 72.73
---
# Hindi-Speech to Text Model </br>
The primary objective of this project is to develop a speech recognition system for the Hindi language. As there are very few systems available for speech to text in the Hindi language. Therefore it is an attempt to develop a system where a language model is developed using Machine learning libraries for speech-to-text conversion in the Hindi language. |
explosion/nb_udv25_norwegianbokmaal_trf | explosion | 2021-12-10T19:59:46Z | 1 | 0 | spacy | [
"spacy",
"token-classification",
"nb",
"license:cc-by-sa-4.0",
"model-index",
"region:us"
] | token-classification | 2022-03-02T23:29:05Z | ---
tags:
- spacy
- token-classification
language:
- nb
license: cc-by-sa-4.0
model-index:
- name: nb_udv25_norwegianbokmaal_trf
results:
- task:
name: TAG
type: token-classification
metrics:
- name: TAG (XPOS) Accuracy
type: accuracy
value: 0.9916412329
- task:
name: POS
type: token-classification
metrics:
- name: POS (UPOS) Accuracy
type: accuracy
value: 0.9913112816
- task:
name: MORPH
type: token-classification
metrics:
- name: Morph (UFeats) Accuracy
type: accuracy
value: 0.9842448239
- task:
name: LEMMA
type: token-classification
metrics:
- name: Lemma Accuracy
type: accuracy
value: 0.9882042399
- task:
name: UNLABELED_DEPENDENCIES
type: token-classification
metrics:
- name: Unlabeled Attachment Score (UAS)
type: f_score
value: 0.9563180335
- task:
name: LABELED_DEPENDENCIES
type: token-classification
metrics:
- name: Labeled Attachment Score (LAS)
type: f_score
value: 0.9390763849
- task:
name: SENTS
type: token-classification
metrics:
- name: Sentences F-Score
type: f_score
value: 0.9879568106
---
UD v2.5 benchmarking pipeline for UD_Norwegian-Bokmaal
| Feature | Description |
| --- | --- |
| **Name** | `nb_udv25_norwegianbokmaal_trf` |
| **Version** | `0.0.1` |
| **spaCy** | `>=3.2.1,<3.3.0` |
| **Default Pipeline** | `experimental_char_ner_tokenizer`, `transformer`, `tagger`, `morphologizer`, `parser`, `experimental_edit_tree_lemmatizer` |
| **Components** | `experimental_char_ner_tokenizer`, `transformer`, `senter`, `tagger`, `morphologizer`, `parser`, `experimental_edit_tree_lemmatizer` |
| **Vectors** | 0 keys, 0 unique vectors (0 dimensions) |
| **Sources** | [Universal Dependencies v2.5](https://lindat.mff.cuni.cz/repository/xmlui/handle/11234/1-3105) (Zeman, Daniel; et al.) |
| **License** | `CC BY-SA 4.0` |
| **Author** | [Explosion](https://explosion.ai) |
### Label Scheme
<details>
<summary>View label scheme (1240 labels for 6 components)</summary>
| Component | Labels |
| --- | --- |
| **`experimental_char_ner_tokenizer`** | `TOKEN` |
| **`senter`** | `I`, `S` |
| **`tagger`** | `ADJ`, `ADP`, `ADV`, `AUX`, `CCONJ`, `DET`, `INTJ`, `NOUN`, `NUM`, `PART`, `PRON`, `PROPN`, `PUNCT`, `SCONJ`, `SYM`, `VERB`, `X` |
| **`morphologizer`** | `Definite=Ind\|Gender=Neut\|Number=Sing\|POS=NOUN`, `POS=CCONJ`, `Definite=Ind\|Gender=Masc\|Number=Sing\|POS=NOUN`, `POS=SCONJ`, `Definite=Def\|Gender=Masc\|Number=Sing\|POS=NOUN`, `Definite=Ind\|Gender=Neut\|Number=Plur\|POS=NOUN`, `POS=PUNCT`, `Mood=Ind\|POS=VERB\|Tense=Past\|VerbForm=Fin`, `POS=ADP`, `Gender=Masc\|Number=Sing\|POS=DET\|PronType=Dem`, `Definite=Def\|Degree=Pos\|Number=Sing\|POS=ADJ`, `POS=PROPN`, `POS=X`, `Mood=Ind\|POS=VERB\|Tense=Pres\|VerbForm=Fin`, `Definite=Def\|Gender=Neut\|Number=Sing\|POS=NOUN`, `POS=PRON\|PronType=Rel`, `Mood=Ind\|POS=AUX\|Tense=Pres\|VerbForm=Fin`, `Definite=Ind\|Gender=Neut\|Number=Sing\|POS=ADJ\|VerbForm=Part`, `Definite=Ind\|Degree=Pos\|Number=Sing\|POS=ADJ`, `Definite=Ind\|Gender=Fem\|Number=Sing\|POS=NOUN`, `Number=Plur\|POS=ADJ\|VerbForm=Part`, `Definite=Ind\|Gender=Fem\|Number=Plur\|POS=NOUN`, `POS=ADV`, `Gender=Neut\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs`, `Definite=Ind\|Number=Sing\|POS=ADJ\|VerbForm=Part`, `POS=VERB\|VerbForm=Part`, `Definite=Ind\|Gender=Masc\|Number=Plur\|POS=NOUN`, `Definite=Ind\|Degree=Pos\|Gender=Neut\|Number=Sing\|POS=ADJ`, `Degree=Pos\|Number=Plur\|POS=ADJ`, `NumType=Card\|Number=Plur\|POS=NUM`, `Definite=Def\|Gender=Masc\|Number=Plur\|POS=NOUN`, `Case=Acc\|POS=PRON\|PronType=Prs\|Reflex=Yes`, `Case=Gen\|Definite=Ind\|Gender=Neut\|Number=Sing\|POS=NOUN`, `POS=PART`, `POS=VERB\|VerbForm=Inf`, `Case=Nom\|Number=Plur\|POS=PRON\|Person=3\|PronType=Prs`, `Mood=Ind\|POS=AUX\|Tense=Past\|VerbForm=Fin`, `Gender=Fem\|POS=PROPN`, `POS=NOUN`, `Gender=Masc\|POS=PROPN`, `Gender=Neut\|Number=Sing\|POS=DET\|PronType=Dem`, `Gender=Masc\|Number=Sing\|POS=DET\|PronType=Art`, `Case=Gen\|Definite=Def\|Gender=Masc\|Number=Sing\|POS=NOUN`, `Abbr=Yes\|POS=PROPN`, `POS=PART\|Polarity=Neg`, `Number=Plur\|POS=PRON\|Poss=Yes\|PronType=Prs`, `Case=Gen\|Definite=Ind\|Gender=Neut\|Number=Plur\|POS=NOUN`, `Case=Gen\|POS=PROPN`, `Gender=Fem\|Number=Sing\|POS=DET\|PronType=Dem`, `Gender=Masc\|Number=Sing\|POS=PRON\|Poss=Yes\|PronType=Prs`, `Definite=Def\|Degree=Sup\|POS=ADJ`, `Case=Gen\|Gender=Fem\|POS=PROPN`, `Number=Plur\|POS=DET\|PronType=Dem`, `Case=Gen\|Definite=Def\|Gender=Neut\|Number=Sing\|POS=NOUN`, `Definite=Ind\|Degree=Sup\|POS=ADJ`, `Definite=Def\|Gender=Fem\|Number=Plur\|POS=NOUN`, `Gender=Neut\|POS=PROPN`, `Number=Plur\|POS=DET\|PronType=Int`, `Definite=Def\|Gender=Neut\|Number=Plur\|POS=NOUN`, `Definite=Def\|POS=DET\|PronType=Dem`, `Gender=Neut\|Number=Sing\|POS=DET\|PronType=Art`, `Mood=Ind\|POS=VERB\|Tense=Pres\|VerbForm=Fin\|Voice=Pass`, `Abbr=Yes\|Case=Gen\|POS=PROPN`, `Animacy=Hum\|Case=Nom\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs`, `Degree=Cmp\|POS=ADJ`, `POS=ADJ\|VerbForm=Part`, `Gender=Neut\|Number=Sing\|POS=PRON\|Poss=Yes\|PronType=Prs`, `Abbr=Yes\|POS=ADP`, `Definite=Ind\|Gender=Neut\|Number=Sing\|POS=DET\|PronType=Prs`, `Case=Gen\|Definite=Def\|Gender=Neut\|Number=Plur\|POS=NOUN`, `POS=AUX\|VerbForm=Part`, `POS=PRON\|PronType=Int`, `Gender=Fem\|Number=Sing\|POS=PRON\|Poss=Yes\|PronType=Prs`, `Number=Plur\|POS=PRON\|Person=3\|PronType=Ind,Prs`, `Number=Plur\|POS=DET\|PronType=Ind`, `Degree=Pos\|POS=ADJ`, `Animacy=Hum\|Case=Nom\|Number=Plur\|POS=PRON\|Person=1\|PronType=Prs`, `POS=VERB\|VerbForm=Inf\|Voice=Pass`, `Definite=Ind\|Gender=Fem\|Number=Sing\|POS=DET\|PronType=Dem`, `Gender=Neut\|Number=Sing\|POS=DET\|PronType=Ind`, `Animacy=Hum\|Case=Acc\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs`, `Animacy=Hum\|Case=Nom\|Number=Sing\|POS=PRON\|Person=1\|PronType=Prs`, `Number=Plur\|POS=DET\|Polarity=Neg\|PronType=Neg`, `NumType=Card\|POS=NUM`, `Gender=Masc\|Number=Sing\|POS=DET\|PronType=Ind`, `POS=DET\|PronType=Prs`, `Gender=Fem\|Number=Sing\|POS=DET\|PronType=Ind`, `Case=Gen\|Gender=Neut\|POS=PROPN`, `Gender=Masc\|Number=Sing\|POS=DET\|Polarity=Neg\|PronType=Neg`, `Definite=Def\|Number=Sing\|POS=ADJ\|VerbForm=Part`, `Gender=Fem,Masc\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs`, `POS=AUX\|VerbForm=Inf`, `Case=Acc\|Number=Plur\|POS=PRON\|Person=3\|PronType=Prs`, `Case=Gen\|Degree=Pos\|Number=Plur\|POS=ADJ`, `Number=Plur\|POS=DET\|PronType=Tot`, `Case=Gen\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Dem`, `Number=Plur\|POS=DET\|PronType=Prs`, `POS=SYM`, `Gender=Neut\|NumType=Card\|Number=Sing\|POS=NUM`, `Animacy=Hum\|Case=Nom\|Number=Sing\|POS=PRON\|PronType=Prs`, `Definite=Ind\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Prs`, `Case=Gen\|Definite=Ind\|Gender=Masc\|Number=Sing\|POS=NOUN`, `Abbr=Yes\|POS=ADV`, `Definite=Ind\|Gender=Neut\|Number=Sing\|POS=DET\|PronType=Dem`, `Gender=Masc\|Number=Sing\|POS=DET\|PronType=Tot`, `Definite=Def\|POS=DET\|PronType=Prs`, `Animacy=Hum\|Case=Nom\|Gender=Fem\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs`, `Gender=Neut\|POS=NOUN`, `Gender=Neut\|Number=Sing\|POS=DET\|PronType=Int`, `Definite=Def\|NumType=Card\|POS=NUM`, `Mood=Imp\|POS=VERB\|VerbForm=Fin`, `Definite=Ind\|Number=Plur\|POS=NOUN`, `Gender=Neut\|Number=Sing\|POS=DET\|PronType=Tot`, `Gender=Fem\|Number=Sing\|POS=DET\|PronType=Tot`, `Animacy=Hum\|Case=Acc\|Number=Plur\|POS=PRON\|Person=1\|PronType=Prs`, `Gender=Fem,Masc\|Number=Sing\|POS=PRON\|Person=3\|Polarity=Neg\|PronType=Neg,Prs`, `Number=Plur\|POS=PRON\|Person=3\|Polarity=Neg\|PronType=Neg,Prs`, `Definite=Def\|NumType=Card\|Number=Sing\|POS=NUM`, `Gender=Masc\|NumType=Card\|Number=Sing\|POS=NUM`, `Definite=Ind\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Dem`, `Case=Gen\|Definite=Def\|Gender=Fem\|Number=Plur\|POS=NOUN`, `Case=Gen\|Gender=Neut\|Number=Sing\|POS=DET\|PronType=Dem`, `Animacy=Hum\|Number=Sing\|POS=PRON\|PronType=Art,Prs`, `Mood=Imp\|POS=AUX\|VerbForm=Fin`, `Number=Plur\|POS=PRON\|Person=3\|PronType=Prs,Tot`, `Number=Plur\|POS=ADJ`, `Gender=Masc\|POS=NOUN`, `Abbr=Yes\|POS=NOUN`, `Case=Gen\|Definite=Ind\|Gender=Masc\|Number=Plur\|POS=NOUN`, `Gender=Neut\|Number=Sing\|POS=PRON\|Person=3\|PronType=Ind,Prs`, `POS=INTJ`, `Animacy=Hum\|Case=Nom\|Number=Sing\|POS=PRON\|Person=2\|PronType=Prs`, `Animacy=Hum\|Case=Acc\|Number=Sing\|POS=PRON\|Person=1\|PronType=Prs`, `Case=Gen\|Definite=Def\|Gender=Masc\|Number=Plur\|POS=NOUN`, `POS=ADJ`, `Animacy=Hum\|Case=Acc\|Gender=Fem\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs`, `Animacy=Hum\|Case=Acc\|Number=Sing\|POS=PRON\|Person=2\|PronType=Prs`, `Definite=Def\|Gender=Fem\|Number=Sing\|POS=NOUN`, `Number=Sing\|POS=PRON\|Polarity=Neg\|PronType=Neg`, `Case=Gen\|POS=NOUN`, `Definite=Ind\|Number=Sing\|POS=ADJ`, `Case=Gen\|Gender=Masc\|POS=PROPN`, `Animacy=Hum\|Number=Plur\|POS=PRON\|PronType=Rcp`, `Case=Gen\|Definite=Ind\|Gender=Fem\|Number=Sing\|POS=NOUN`, `Number=Plur\|POS=PRON\|Person=3\|PronType=Prs`, `Gender=Fem,Masc\|Number=Sing\|POS=PRON\|Person=3\|PronType=Ind,Prs`, `Definite=Ind\|Gender=Fem\|Number=Sing\|POS=DET\|PronType=Prs`, `Case=Gen\|Definite=Def\|Gender=Fem\|Number=Sing\|POS=NOUN`, `Gender=Fem\|Number=Sing\|POS=DET\|PronType=Art`, `Case=Gen\|Definite=Def\|Degree=Pos\|Number=Sing\|POS=ADJ`, `Gender=Masc\|Number=Sing\|POS=DET\|PronType=Int`, `NumType=Card\|Number=Sing\|POS=NUM`, `Animacy=Hum\|Case=Acc\|Number=Plur\|POS=PRON\|Person=2\|PronType=Prs`, `Animacy=Hum\|Case=Nom\|Number=Plur\|POS=PRON\|Person=2\|PronType=Prs`, `Case=Gen\|Definite=Ind\|Degree=Pos\|Gender=Neut\|Number=Sing\|POS=ADJ`, `Degree=Sup\|POS=ADJ`, `Animacy=Hum\|POS=PRON\|PronType=Int`, `POS=DET\|PronType=Ind`, `Definite=Def\|Number=Sing\|POS=DET\|PronType=Dem`, `Gender=Fem\|POS=NOUN`, `Case=Gen\|Number=Plur\|POS=DET\|PronType=Dem`, `Gender=Fem,Masc\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs,Tot`, `Case=Gen\|Definite=Ind\|Gender=Fem\|Number=Plur\|POS=NOUN`, `Gender=Neut\|Number=Sing\|POS=DET\|Polarity=Neg\|PronType=Neg`, `Number=Plur\|POS=NOUN`, `POS=PRON\|PronType=Prs`, `Case=Gen\|Definite=Ind\|Degree=Pos\|Number=Sing\|POS=ADJ`, `Definite=Ind\|Number=Sing\|POS=VERB\|VerbForm=Part`, `Case=Gen\|Definite=Def\|Number=Sing\|POS=ADJ\|VerbForm=Part`, `Mood=Ind\|POS=VERB\|Tense=Past\|VerbForm=Fin\|Voice=Pass`, `Gender=Neut\|Number=Sing\|POS=DET\|PronType=Dem,Ind`, `Animacy=Hum\|POS=PRON\|Poss=Yes\|PronType=Int`, `Abbr=Yes\|POS=ADJ`, `Case=Gen\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Art`, `Abbr=Yes\|Definite=Def,Ind\|Gender=Masc\|Number=Sing\|POS=NOUN`, `Case=Gen\|Gender=Fem\|Number=Sing\|POS=DET\|PronType=Dem`, `Number=Plur\|POS=PRON\|Poss=Yes\|PronType=Rcp`, `Definite=Ind\|Degree=Pos\|POS=ADJ`, `Number=Plur\|POS=DET\|PronType=Art`, `Case=Gen\|NumType=Card\|Number=Plur\|POS=NUM`, `Abbr=Yes\|Definite=Def,Ind\|Gender=Neut\|Number=Plur,Sing\|POS=NOUN`, `Case=Gen\|Number=Plur\|POS=DET\|PronType=Tot`, `Abbr=Yes\|Definite=Def,Ind\|Gender=Masc\|Number=Plur,Sing\|POS=NOUN`, `Gender=Fem\|Number=Sing\|POS=DET\|PronType=Int`, `Definite=Ind\|Gender=Neut\|Number=Sing\|POS=ADJ`, `Case=Gen\|Definite=Ind\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Dem`, `Gender=Fem\|Number=Sing\|POS=DET\|PronType=Prs`, `Animacy=Hum\|Case=Gen,Nom\|Number=Sing\|POS=PRON\|PronType=Art,Prs`, `Definite=Def\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=ADJ`, `Animacy=Hum\|Case=Gen\|Number=Sing\|POS=PRON\|PronType=Art,Prs`, `Gender=Fem\|NumType=Card\|Number=Sing\|POS=NUM`, `Definite=Ind\|Gender=Masc\|POS=NOUN`, `Definite=Def\|Number=Plur\|POS=NOUN`, `Number=Sing\|POS=ADJ\|VerbForm=Part`, `Definite=Ind\|Gender=Masc\|Number=Sing\|POS=ADJ\|VerbForm=Part`, `Abbr=Yes\|Gender=Masc\|POS=NOUN`, `Abbr=Yes\|Case=Gen\|POS=NOUN`, `Abbr=Yes\|Mood=Ind\|POS=VERB\|Tense=Pres\|VerbForm=Fin`, `Abbr=Yes\|Degree=Pos\|POS=ADJ`, `Case=Gen\|Gender=Fem\|POS=NOUN`, `Case=Gen\|Degree=Cmp\|POS=ADJ`, `Definite=Ind\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=ADJ`, `Gender=Masc\|Number=Sing\|POS=NOUN` |
| **`parser`** | `ROOT`, `acl`, `acl:cleft`, `acl:relcl`, `advcl`, `advmod`, `amod`, `appos`, `aux`, `aux:pass`, `case`, `cc`, `ccomp`, `compound`, `compound:prt`, `conj`, `cop`, `csubj`, `dep`, `det`, `discourse`, `expl`, `flat:foreign`, `flat:name`, `iobj`, `mark`, `nmod`, `nsubj`, `nsubj:pass`, `nummod`, `obj`, `obl`, `orphan`, `parataxis`, `punct`, `reparandum`, `xcomp` |
| **`experimental_edit_tree_lemmatizer`** | `1`, `2`, `4`, `6`, `8`, `10`, `12`, `14`, `16`, `18`, `20`, `22`, `24`, `26`, `28`, `32`, `34`, `36`, `38`, `40`, `42`, `44`, `47`, `49`, `51`, `52`, `54`, `56`, `58`, `59`, `60`, `62`, `64`, `65`, `67`, `69`, `70`, `71`, `73`, `75`, `78`, `81`, `83`, `87`, `89`, `93`, `96`, `98`, `99`, `100`, `102`, `104`, `106`, `110`, `112`, `115`, `116`, `118`, `120`, `122`, `124`, `128`, `131`, `133`, `135`, `137`, `140`, `142`, `143`, `144`, `145`, `147`, `149`, `151`, `153`, `154`, `156`, `158`, `159`, `162`, `165`, `166`, `168`, `169`, `171`, `173`, `175`, `177`, `179`, `180`, `182`, `184`, `185`, `186`, `187`, `189`, `190`, `192`, `193`, `194`, `195`, `198`, `199`, `201`, `203`, `204`, `207`, `209`, `211`, `214`, `217`, `218`, `219`, `220`, `223`, `225`, `227`, `228`, `229`, `231`, `232`, `233`, `235`, `236`, `239`, `240`, `243`, `246`, `248`, `249`, `250`, `251`, `254`, `257`, `259`, `261`, `263`, `266`, `267`, `270`, `272`, `274`, `275`, `276`, `279`, `282`, `283`, `284`, `285`, `286`, `289`, `290`, `291`, `292`, `294`, `298`, `302`, `304`, `305`, `306`, `309`, `310`, `311`, `314`, `315`, `316`, `317`, `319`, `320`, `322`, `46`, `324`, `326`, `327`, `329`, `330`, `331`, `332`, `334`, `335`, `336`, `337`, `339`, `340`, `341`, `343`, `344`, `346`, `348`, `349`, `352`, `353`, `354`, `356`, `357`, `358`, `359`, `361`, `363`, `364`, `365`, `367`, `369`, `372`, `374`, `375`, `376`, `377`, `378`, `380`, `381`, `384`, `385`, `387`, `389`, `391`, `394`, `396`, `397`, `400`, `403`, `405`, `406`, `408`, `409`, `410`, `411`, `413`, `415`, `416`, `418`, `420`, `422`, `423`, `424`, `426`, `428`, `429`, `431`, `432`, `433`, `434`, `435`, `437`, `438`, `440`, `442`, `445`, `446`, `448`, `449`, `450`, `451`, `452`, `453`, `456`, `458`, `459`, `460`, `461`, `462`, `465`, `466`, `468`, `469`, `471`, `474`, `475`, `476`, `477`, `479`, `480`, `482`, `485`, `486`, `488`, `489`, `491`, `492`, `493`, `494`, `495`, `497`, `498`, `499`, `500`, `502`, `503`, `504`, `505`, `506`, `507`, `509`, `510`, `511`, `513`, `517`, `518`, `519`, `521`, `522`, `525`, `526`, `528`, `529`, `533`, `537`, `539`, `541`, `543`, `545`, `546`, `547`, `549`, `550`, `552`, `553`, `554`, `555`, `557`, `558`, `559`, `560`, `561`, `562`, `563`, `564`, `566`, `568`, `570`, `574`, `575`, `576`, `577`, `579`, `581`, `582`, `583`, `585`, `586`, `587`, `589`, `590`, `591`, `593`, `595`, `597`, `599`, `602`, `603`, `604`, `605`, `607`, `608`, `610`, `611`, `612`, `614`, `616`, `617`, `619`, `620`, `621`, `624`, `626`, `628`, `630`, `632`, `635`, `636`, `639`, `640`, `642`, `645`, `647`, `650`, `651`, `652`, `655`, `657`, `658`, `659`, `661`, `662`, `663`, `664`, `665`, `666`, `667`, `668`, `669`, `670`, `672`, `673`, `676`, `677`, `678`, `681`, `682`, `683`, `684`, `686`, `687`, `688`, `690`, `692`, `693`, `694`, `695`, `697`, `698`, `699`, `700`, `701`, `702`, `704`, `705`, `707`, `709`, `710`, `711`, `712`, `713`, `714`, `715`, `716`, `717`, `719`, `721`, `723`, `726`, `728`, `729`, `730`, `731`, `732`, `733`, `734`, `736`, `737`, `738`, `739`, `741`, `742`, `743`, `745`, `746`, `747`, `748`, `749`, `750`, `751`, `753`, `754`, `757`, `759`, `760`, `761`, `762`, `763`, `765`, `767`, `768`, `770`, `771`, `772`, `773`, `775`, `777`, `778`, `779`, `780`, `781`, `783`, `784`, `785`, `786`, `787`, `788`, `789`, `790`, `791`, `792`, `795`, `798`, `799`, `801`, `802`, `803`, `805`, `806`, `809`, `811`, `812`, `814`, `815`, `816`, `817`, `818`, `820`, `822`, `823`, `824`, `825`, `826`, `827`, `828`, `829`, `830`, `832`, `833`, `836`, `838`, `839`, `840`, `841`, `843`, `844`, `845`, `846`, `847`, `848`, `850`, `851`, `852`, `853`, `854`, `855`, `857`, `858`, `859`, `860`, `862`, `864`, `865`, `868`, `869`, `870`, `871`, `872`, `873`, `874`, `876`, `877`, `878`, `881`, `883`, `884`, `885`, `886`, `887`, `888`, `889`, `890`, `892`, `893`, `894`, `896`, `897`, `898`, `899`, `901`, `902`, `905`, `908`, `911`, `912`, `913`, `915`, `916`, `917`, `918`, `919`, `920`, `921`, `925`, `927`, `928`, `929`, `930`, `932`, `936`, `937`, `938`, `940`, `941`, `943`, `944`, `947`, `948`, `950`, `952`, `953`, `955`, `957`, `959`, `962`, `964`, `966`, `967`, `968`, `969`, `971`, `972`, `973`, `974`, `977`, `978`, `117`, `41`, `979`, `980`, `981`, `982`, `983`, `985`, `988`, `989`, `990`, `992`, `994`, `995`, `996`, `998`, `999`, `1000`, `1001`, `1002`, `1003`, `1004`, `1007`, `1009`, `1010`, `1011`, `1012`, `1013`, `1014`, `1015`, `1016`, `1017`, `1018`, `1019`, `1020`, `1021`, `1022`, `1023`, `1024`, `1025`, `1026`, `1029`, `1031`, `1035`, `1037`, `1039`, `1040`, `1041`, `1043`, `1044`, `1045`, `1048`, `1049`, `1050`, `1051`, `1053`, `1056`, `1058`, `1059`, `1060`, `1061`, `1064`, `1066`, `1068`, `1070`, `1071`, `1072`, `1075`, `1078`, `1079`, `1080`, `1081`, `1084`, `1085`, `1088`, `1090`, `1093`, `1095`, `1099`, `1102`, `1103`, `1105`, `1106`, `1107`, `1109`, `1110`, `1111`, `1113`, `1115`, `1116`, `1121`, `1123`, `1124`, `1126`, `1128`, `1129`, `1130`, `1131`, `1133`, `1134`, `1136`, `1137`, `1138`, `1139`, `1141`, `1143`, `1144`, `1145`, `1147`, `1148`, `1149`, `1150`, `1151`, `1153`, `1154`, `1156`, `1157`, `1158`, `1162`, `1163`, `1165`, `1166`, `1167`, `1168`, `1169`, `1170`, `1171`, `1172`, `1173`, `1174`, `1175`, `1176`, `1030`, `1179`, `1180`, `1182`, `1184`, `1185`, `1186`, `1187`, `1188`, `1189`, `1190`, `1191`, `1192`, `1193`, `1195`, `1198`, `1199`, `1201`, `1202`, `1204`, `1205`, `1206`, `1207`, `1211`, `1213`, `1214`, `1216`, `1219`, `1220`, `1221`, `1222`, `1223`, `1224`, `1225`, `1226`, `1228`, `1230`, `1232`, `1234`, `1235`, `1238`, `1239`, `1240`, `1241`, `1242`, `1244`, `1247`, `1248`, `1249`, `1250`, `1251`, `1253`, `1254`, `1255`, `1256`, `1257`, `1258`, `1259`, `1262`, `1263`, `1265`, `1267`, `515`, `1268`, `1269`, `1271`, `1273`, `1274`, `1275`, `1276`, `1277`, `1279`, `1280`, `1282`, `1283`, `1284`, `1285`, `1287`, `1289`, `1291`, `1292`, `1294`, `1297`, `1298`, `1299`, `1302`, `1303`, `1305`, `1307`, `1308`, `1309`, `1311`, `1312`, `1313`, `1314`, `1315`, `1316`, `1317`, `1318`, `1320`, `1321`, `1322`, `1324`, `1325`, `1326`, `1329`, `1331`, `1334`, `1336`, `1337`, `1340`, `1341`, `1342`, `1343`, `1346`, `1348`, `1349`, `1350`, `1352`, `1353`, `1355`, `1357`, `1358`, `1359`, `1361`, `965`, `1362`, `1363`, `1364`, `1366`, `1369`, `1370`, `1371`, `1372`, `1373`, `1375`, `1376`, `1377`, `1379`, `1381`, `1382`, `1383`, `1385`, `1387`, `1388`, `1390`, `1392`, `1393`, `1394`, `1395`, `1396`, `1397`, `1398`, `1399`, `1400`, `1402`, `1403`, `1405`, `1406`, `1407`, `1409`, `1411`, `1412`, `1413`, `1414`, `1418`, `1419`, `1420`, `1421`, `1423`, `1424`, `1425`, `1427`, `1428`, `1429`, `1430`, `1432`, `1433`, `1435`, `1437`, `1438`, `1441`, `1442`, `1444`, `1446`, `1447`, `1449`, `1453`, `1455`, `1457`, `1458`, `1460`, `1462`, `1463`, `1464`, `1466`, `1469`, `1470`, `1471`, `1473`, `1475`, `1476`, `1477`, `1478`, `1479`, `1482`, `1483`, `1484`, `1486`, `1487`, `1489`, `1491`, `1493`, `1494`, `1495`, `1496`, `1497`, `1498`, `1499`, `1500`, `1501`, `1502`, `1503`, `1504`, `1506`, `1507`, `1508`, `1510`, `1511`, `1512`, `1513`, `1516`, `1517`, `1518`, `1519`, `1520`, `1521`, `1522`, `1523`, `849` |
</details>
### Accuracy
| Type | Score |
| --- | --- |
| `TOKEN_F` | 100.00 |
| `TOKEN_P` | 100.00 |
| `TOKEN_R` | 100.00 |
| `TOKEN_ACC` | 100.00 |
| `SENTS_F` | 98.80 |
| `SENTS_P` | 98.84 |
| `SENTS_R` | 98.75 |
| `TAG_ACC` | 99.16 |
| `POS_ACC` | 99.13 |
| `MORPH_ACC` | 98.42 |
| `DEP_UAS` | 95.63 |
| `DEP_LAS` | 93.91 |
| `LEMMA_ACC` | 98.82 | |
huggingtweets/deliveroo_fr | huggingtweets | 2021-12-10T19:38:51Z | 4 | 0 | transformers | [
"transformers",
"pytorch",
"gpt2",
"text-generation",
"huggingtweets",
"en",
"autotrain_compatible",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | text-generation | 2022-03-02T23:29:05Z | ---
language: en
thumbnail: http://www.huggingtweets.com/deliveroo_fr/1639165126235/predictions.png
tags:
- huggingtweets
widget:
- text: "My dream is"
---
<div class="inline-flex flex-col" style="line-height: 1.5;">
<div class="flex">
<div
style="display:inherit; margin-left: 4px; margin-right: 4px; width: 92px; height:92px; border-radius: 50%; background-size: cover; background-image: url('https://pbs.twimg.com/profile_images/1460542430357381120/3QwgzK9N_400x400.jpg')">
</div>
<div
style="display:none; margin-left: 4px; margin-right: 4px; width: 92px; height:92px; border-radius: 50%; background-size: cover; background-image: url('')">
</div>
<div
style="display:none; margin-left: 4px; margin-right: 4px; width: 92px; height:92px; border-radius: 50%; background-size: cover; background-image: url('')">
</div>
</div>
<div style="text-align: center; margin-top: 3px; font-size: 16px; font-weight: 800">🤖 AI BOT 🤖</div>
<div style="text-align: center; font-size: 16px; font-weight: 800">🍕 Deliveroo France</div>
<div style="text-align: center; font-size: 14px;">@deliveroo_fr</div>
</div>
I was made with [huggingtweets](https://github.com/borisdayma/huggingtweets).
Create your own bot based on your favorite user with [the demo](https://colab.research.google.com/github/borisdayma/huggingtweets/blob/master/huggingtweets-demo.ipynb)!
## How does it work?
The model uses the following pipeline.
To understand how the model was developed, check the [W&B report](https://wandb.ai/wandb/huggingtweets/reports/HuggingTweets-Train-a-Model-to-Generate-Tweets--VmlldzoxMTY5MjI).
## Training data
The model was trained on tweets from 🍕 Deliveroo France.
| Data | 🍕 Deliveroo France |
| --- | --- |
| Tweets downloaded | 3250 |
| Retweets | 5 |
| Short tweets | 209 |
| Tweets kept | 3036 |
[Explore the data](https://wandb.ai/wandb/huggingtweets/runs/35lhnvsx/artifacts), which is tracked with [W&B artifacts](https://docs.wandb.com/artifacts) at every step of the pipeline.
## Training procedure
The model is based on a pre-trained [GPT-2](https://huggingface.co/gpt2) which is fine-tuned on @deliveroo_fr's tweets.
Hyperparameters and metrics are recorded in the [W&B training run](https://wandb.ai/wandb/huggingtweets/runs/3544md47) for full transparency and reproducibility.
At the end of training, [the final model](https://wandb.ai/wandb/huggingtweets/runs/3544md47/artifacts) is logged and versioned.
## How to use
You can use this model directly with a pipeline for text generation:
```python
from transformers import pipeline
generator = pipeline('text-generation',
model='huggingtweets/deliveroo_fr')
generator("My dream is", num_return_sequences=5)
```
## Limitations and bias
The model suffers from [the same limitations and bias as GPT-2](https://huggingface.co/gpt2#limitations-and-bias).
In addition, the data present in the user's tweets further affects the text generated by the model.
## About
*Built by Boris Dayma*
[](https://twitter.com/intent/follow?screen_name=borisdayma)
For more details, visit the project repository.
[](https://github.com/borisdayma/huggingtweets)
|
SupriyaArun/distilbert-base-uncased-finetuned-squad | SupriyaArun | 2021-12-10T19:20:59Z | 5 | 0 | transformers | [
"transformers",
"pytorch",
"tensorboard",
"distilbert",
"question-answering",
"generated_from_trainer",
"dataset:squad",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | question-answering | 2022-03-02T23:29:05Z | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- squad
model-index:
- name: distilbert-base-uncased-finetuned-squad
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# distilbert-base-uncased-finetuned-squad
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the squad dataset.
It achieves the following results on the evaluation set:
- Loss: 1.1569
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 1.2213 | 1.0 | 5533 | 1.1560 |
| 0.943 | 2.0 | 11066 | 1.1227 |
| 0.7633 | 3.0 | 16599 | 1.1569 |
### Framework versions
- Transformers 4.13.0
- Pytorch 1.10.0+cu111
- Datasets 1.16.1
- Tokenizers 0.10.3
|
explosion/lt_udv25_lithuanianalksnis_trf | explosion | 2021-12-10T19:13:26Z | 6 | 0 | spacy | [
"spacy",
"token-classification",
"lt",
"license:cc-by-sa-4.0",
"model-index",
"region:us"
] | token-classification | 2022-03-02T23:29:05Z | ---
tags:
- spacy
- token-classification
language:
- lt
license: cc-by-sa-4.0
model-index:
- name: lt_udv25_lithuanianalksnis_trf
results:
- task:
name: TAG
type: token-classification
metrics:
- name: TAG (XPOS) Accuracy
type: accuracy
value: 0.9542839843
- task:
name: POS
type: token-classification
metrics:
- name: POS (UPOS) Accuracy
type: accuracy
value: 0.9806669262
- task:
name: MORPH
type: token-classification
metrics:
- name: Morph (UFeats) Accuracy
type: accuracy
value: 0.9549759958
- task:
name: LEMMA
type: token-classification
metrics:
- name: Lemma Accuracy
type: accuracy
value: 0.9045621622
- task:
name: UNLABELED_DEPENDENCIES
type: token-classification
metrics:
- name: Unlabeled Attachment Score (UAS)
type: f_score
value: 0.8811484062
- task:
name: LABELED_DEPENDENCIES
type: token-classification
metrics:
- name: Labeled Attachment Score (LAS)
type: f_score
value: 0.8361832383
- task:
name: SENTS
type: token-classification
metrics:
- name: Sentences F-Score
type: f_score
value: 0.9565217391
---
UD v2.5 benchmarking pipeline for UD_Lithuanian-ALKSNIS
| Feature | Description |
| --- | --- |
| **Name** | `lt_udv25_lithuanianalksnis_trf` |
| **Version** | `0.0.1` |
| **spaCy** | `>=3.2.1,<3.3.0` |
| **Default Pipeline** | `experimental_char_ner_tokenizer`, `transformer`, `tagger`, `morphologizer`, `parser`, `experimental_edit_tree_lemmatizer` |
| **Components** | `experimental_char_ner_tokenizer`, `transformer`, `senter`, `tagger`, `morphologizer`, `parser`, `experimental_edit_tree_lemmatizer` |
| **Vectors** | 0 keys, 0 unique vectors (0 dimensions) |
| **Sources** | [Universal Dependencies v2.5](https://lindat.mff.cuni.cz/repository/xmlui/handle/11234/1-3105) (Zeman, Daniel; et al.) |
| **License** | `CC BY-SA 4.0` |
| **Author** | [Explosion](https://explosion.ai) |
### Label Scheme
<details>
<summary>View label scheme (3674 labels for 6 components)</summary>
| Component | Labels |
| --- | --- |
| **`experimental_char_ner_tokenizer`** | `TOKEN` |
| **`senter`** | `I`, `S` |
| **`tagger`** | `.`, `akr.`, `bdv.aukšt.mot.dgs.K.`, `bdv.aukšt.mot.dgs.V.`, `bdv.aukšt.mot.dgs.Vt.`, `bdv.aukšt.mot.dgs.Įn.`, `bdv.aukšt.mot.vns.G.`, `bdv.aukšt.mot.vns.K.`, `bdv.aukšt.mot.vns.V.`, `bdv.aukšt.vyr.dgs.G.`, `bdv.aukšt.vyr.dgs.K.`, `bdv.aukšt.vyr.dgs.N.`, `bdv.aukšt.vyr.dgs.V.`, `bdv.aukšt.vyr.dgs.Vt.`, `bdv.aukšt.vyr.dgs.Įn.`, `bdv.aukšt.vyr.vns.G.`, `bdv.aukšt.vyr.vns.K.`, `bdv.aukšt.vyr.vns.N.`, `bdv.aukšt.vyr.vns.V.`, `bdv.aukšt.vyr.vns.Vt.`, `bdv.aukšt.vyr.vns.Įn.`, `bdv.aukšč.bev.`, `bdv.aukšč.mot.dgs.G.`, `bdv.aukšč.mot.dgs.K.`, `bdv.aukšč.mot.dgs.V.`, `bdv.aukšč.mot.dgs.Įn.`, `bdv.aukšč.mot.vns.K.`, `bdv.aukšč.mot.vns.V.`, `bdv.aukšč.mot.vns.Vt.`, `bdv.aukšč.mot.vns.Įn.`, `bdv.aukšč.vyr.dgs.G.`, `bdv.aukšč.vyr.dgs.K.`, `bdv.aukšč.vyr.dgs.V.`, `bdv.aukšč.vyr.dgs.Vt.`, `bdv.aukšč.vyr.dgs.Įn.`, `bdv.aukšč.vyr.vns.G.`, `bdv.aukšč.vyr.vns.K.`, `bdv.aukšč.vyr.vns.V.`, `bdv.aukšč.vyr.vns.Įn.`, `bdv.aukšč.įvardž.mot.vns.K.`, `bdv.nelygin.`, `bdv.nelygin..vyr.vns.K.`, `bdv.nelygin.bev.`, `bdv.nelygin.mot.dgs.G.`, `bdv.nelygin.mot.dgs.K.`, `bdv.nelygin.mot.dgs.N.`, `bdv.nelygin.mot.dgs.V`, `bdv.nelygin.mot.dgs.V.`, `bdv.nelygin.mot.dgs.Vt.`, `bdv.nelygin.mot.dgs.Įn.`, `bdv.nelygin.mot.vns.G.`, `bdv.nelygin.mot.vns.K.`, `bdv.nelygin.mot.vns.N.`, `bdv.nelygin.mot.vns.V.`, `bdv.nelygin.mot.vns.Vt.`, `bdv.nelygin.mot.vns.Įn.`, `bdv.nelygin.vyr.dgs.G.`, `bdv.nelygin.vyr.dgs.K.`, `bdv.nelygin.vyr.dgs.N.`, `bdv.nelygin.vyr.dgs.V.`, `bdv.nelygin.vyr.dgs.Vt.`, `bdv.nelygin.vyr.dgs.Įn.`, `bdv.nelygin.vyr.vns.G.`, `bdv.nelygin.vyr.vns.K.`, `bdv.nelygin.vyr.vns.N.`, `bdv.nelygin.vyr.vns.V.`, `bdv.nelygin.vyr.vns.Vt.`, `bdv.nelygin.vyr.vns.Įn.`, `bdv.nelygin.įvardž.mot.dgs.G.`, `bdv.nelygin.įvardž.mot.dgs.K.`, `bdv.nelygin.įvardž.mot.dgs.N.`, `bdv.nelygin.įvardž.mot.dgs.V.`, `bdv.nelygin.įvardž.mot.dgs.Įn.`, `bdv.nelygin.įvardž.mot.vns.G.`, `bdv.nelygin.įvardž.mot.vns.K.`, `bdv.nelygin.įvardž.mot.vns.N.`, `bdv.nelygin.įvardž.mot.vns.V.`, `bdv.nelygin.įvardž.mot.vns.Vt.`, `bdv.nelygin.įvardž.mot.vns.Įn.`, `bdv.nelygin.įvardž.vyr.dgs.G.`, `bdv.nelygin.įvardž.vyr.dgs.K.`, `bdv.nelygin.įvardž.vyr.dgs.V.`, `bdv.nelygin.įvardž.vyr.dgs.Vt.`, `bdv.nelygin.įvardž.vyr.dgs.Įn.`, `bdv.nelygin.įvardž.vyr.vns.G.`, `bdv.nelygin.įvardž.vyr.vns.K.`, `bdv.nelygin.įvardž.vyr.vns.N.`, `bdv.nelygin.įvardž.vyr.vns.V.`, `bdv.nelygin.įvardž.vyr.vns.Vt.`, `bdv.nelygin.įvardž.vyr.vns.Įn.`, `būdv.nelygin.įvardž.vyr.dgs.K.`, `dkt.`, `dkt.bendr.dgs.V.`, `dkt.bendr.vns.K.`, `dkt.bendr.vns.N.`, `dkt.bendr.vns.V.`, `dkt.mot.`, `dkt.mot.dgs.G.`, `dkt.mot.dgs.K.`, `dkt.mot.dgs.N.`, `dkt.mot.dgs.V.`, `dkt.mot.dgs.Vt.`, `dkt.mot.dgs.Įn.`, `dkt.mot.vns.G.`, `dkt.mot.vns.Il.`, `dkt.mot.vns.K`, `dkt.mot.vns.K.`, `dkt.mot.vns.N.`, `dkt.mot.vns.V.`, `dkt.mot.vns.Vt.`, `dkt.mot.vns.Įn.`, `dkt.mot.vns.Įv.`, `dkt.mot.vns.Š.`, `dkt.sngr.vyr.dgs.G.`, `dkt.sngr.vyr.dgs.K.`, `dkt.sngr.vyr.dgs.V.`, `dkt.sngr.vyr.dgs.Įn.`, `dkt.sngr.vyr.vns.G.`, `dkt.sngr.vyr.vns.K.`, `dkt.sngr.vyr.vns.N.`, `dkt.sngr.vyr.vns.V.`, `dkt.sngr.vyr.vns.Įn.`, `dkt.tikr.`, `dkt.tikr.mot.`, `dkt.tikr.mot.dgs.K.`, `dkt.tikr.mot.vns.G.`, `dkt.tikr.mot.vns.K.`, `dkt.tikr.mot.vns.N.`, `dkt.tikr.mot.vns.V.`, `dkt.tikr.mot.vns.Vt.`, `dkt.tikr.mot.vns.Įn.`, `dkt.tikr.vyr.dgs.K.`, `dkt.tikr.vyr.vns.G.`, `dkt.tikr.vyr.vns.K.`, `dkt.tikr.vyr.vns.N.`, `dkt.tikr.vyr.vns.V.`, `dkt.tikr.vyr.vns.Vt.`, `dkt.tikr.vyr.vns.Įn.`, `dkt.vyr.`, `dkt.vyr.dgs.G.`, `dkt.vyr.dgs.K.`, `dkt.vyr.dgs.N.`, `dkt.vyr.dgs.V.`, `dkt.vyr.dgs.Vt.`, `dkt.vyr.dgs.v.`, `dkt.vyr.dgs.Įn.`, `dkt.vyr.vns,K.`, `dkt.vyr.vns.G.`, `dkt.vyr.vns.Il.`, `dkt.vyr.vns.K.`, `dkt.vyr.vns.N.`, `dkt.vyr.vns.V.`, `dkt.vyr.vns.Vt.`, `dkt.vyr.vns.vt.`, `dkt.vyr.vns.Įn.`, `dkt.vyr.vns.Š.`, `dktv.mot.vns.K.`, `dll`, `dll.`, `dlv.neveik.es.mot.vns.V.`, `jng.`, `jst.`, `kita`, `kita.`, `prl.G.`, `prl.K.`, `prl.Įn.`, `prv.aukšt.`, `prv.aukšč.`, `prv.nelygin.`, `prv.neygin.`, `prv.sampl.nelygin.`, `samp.įv.mot.dgs.N.`, `sampl.dll.`, `sampl.jng.`, `sampl.jst.`, `sampl.prv.`, `sampl.prv.nelyg.`, `sampl.prv.nelygin.`, `sampl.sktv.`, `sampl.sktv.raid.kiek.`, `sampl.sutr.`, `sampl.užs.`, `sampl.vksm.pad.es.`, `sampl.įv.`, `sampl.įv.G.`, `sampl.įv.K.`, `sampl.įv.V.`, `sampl.įv.bev.`, `sampl.įv.mot.dgs.G.`, `sampl.įv.mot.dgs.K.`, `sampl.įv.mot.dgs.V.`, `sampl.įv.mot.dgs.Vt.`, `sampl.įv.mot.dgs.Įn.`, `sampl.įv.mot.vns.G.`, `sampl.įv.mot.vns.K.`, `sampl.įv.mot.vns.N.`, `sampl.įv.mot.vns.V.`, `sampl.įv.mot.vns.Vt.`, `sampl.įv.mot.vns.Įn.`, `sampl.įv.vyr.dgs.G.`, `sampl.įv.vyr.dgs.K.`, `sampl.įv.vyr.dgs.N.`, `sampl.įv.vyr.dgs.V.`, `sampl.įv.vyr.dgs.Vt.`, `sampl.įv.vyr.dgs.Įn.`, `sampl.įv.vyr.vns.G.`, `sampl.įv.vyr.vns.K.`, `sampl.įv.vyr.vns.V.`, `sampl.įv.vyr.vns.Vt.`, `sampl.įv.vyr.vns.Įn.`, `sampl.įv.Įn.`, `sktv.`, `sktv.arab`, `sktv.arab.`, `sktv.kelint.mot.vns.Vt.`, `sktv.kelint.įvardž.mot.vns.V.`, `sktv.kelint.įvardž.vyr.vns.G.`, `sktv.kiek.mot.V.`, `sktv.kiek.vyr.dgs.G.`, `sktv.mišr.`, `sktv.mišr.kelint.įvardž.mot.vns.G.`, `sktv.mišr.kelint.įvardž.mot.vns.K.`, `sktv.mišr.kelint.įvardž.mot.vns.V.`, `sktv.mišr.kelint.įvardž.vyr.vns.G.`, `sktv.mišr.kelint.įvardž.vyr.vns.K.`, `sktv.mišr.kelint.įvardž.vyr.vns.Vt.`, `sktv.raid.daugin.vyr.G.`, `sktv.raid.daugin.vyr.K.`, `sktv.raid.kelint.bev.`, `sktv.raid.kelint.mot.vns.K.`, `sktv.raid.kelint.mot.vns.V.`, `sktv.raid.kelint.mot.vns.Vt.`, `sktv.raid.kelint.vyr.dgs.K.`, `sktv.raid.kelint.vyr.dgs.V.`, `sktv.raid.kelint.vyr.dgs.Vt.`, `sktv.raid.kelint.vyr.dgs.Įn.`, `sktv.raid.kelint.vyr.vns.G.`, `sktv.raid.kelint.vyr.vns.K.`, `sktv.raid.kelint.vyr.vns.V.`, `sktv.raid.kelint.vyr.vns.Vt.`, `sktv.raid.kelint.įvardž.mot.vns.G.`, `sktv.raid.kelint.įvardž.mot.vns.K.`, `sktv.raid.kelint.įvardž.mot.vns.N.`, `sktv.raid.kelint.įvardž.mot.vns.V.`, `sktv.raid.kelint.įvardž.mot.vns.Vt.`, `sktv.raid.kelint.įvardž.vyr.dgs.K.`, `sktv.raid.kelint.įvardž.vyr.dgs.N.`, `sktv.raid.kelint.įvardž.vyr.dgs.V.`, `sktv.raid.kelint.įvardž.vyr.dgs.Įn.`, `sktv.raid.kelint.įvardž.vyr.vns.G.`, `sktv.raid.kelint.įvardž.vyr.vns.K.`, `sktv.raid.kelint.įvardž.vyr.vns.V.`, `sktv.raid.kiek.`, `sktv.raid.kiek.K.`, `sktv.raid.kiek.mot.G.`, `sktv.raid.kiek.mot.K.`, `sktv.raid.kiek.mot.N.`, `sktv.raid.kiek.mot.V.`, `sktv.raid.kiek.mot.Vt.`, `sktv.raid.kiek.mot.dgs.V.`, `sktv.raid.kiek.mot.vns.G.`, `sktv.raid.kiek.mot.vns.K.`, `sktv.raid.kiek.mot.vns.Įn.`, `sktv.raid.kiek.mot.Įn.`, `sktv.raid.kiek.vyr.G.`, `sktv.raid.kiek.vyr.K.`, `sktv.raid.kiek.vyr.N.`, `sktv.raid.kiek.vyr.V.`, `sktv.raid.kiek.vyr.Vt.`, `sktv.raid.kiek.vyr.dgs.K.`, `sktv.raid.kiek.vyr.dgs.V.`, `sktv.raid.kiek.vyr.vns.G.`, `sktv.raid.kiek.vyr.vns.K.`, `sktv.raid.kiek.vyr.vns.V.`, `sktv.raid.kiek.vyr.Įn.`, `sktv.raid.kiekin.mot.vns.G.`, `sktv.raid.kiekin.mot.vns.V.`, `sktv.raid.kuopin.G.`, `sktv.rom.`, `skyr.`, `sutr.`, `tęs`, `tęs.`, `tęs.sktv.raid.kelint.vyr.vns.G.`, `tęs.įv.vyr.dgs.G.`, `tęs.įv.vyr.dgs.N.`, `tęs.įv.vyr.vns.G.`, `tęs.įv.vyr.vns.N.`, `tęs.įv.vyr.vns.V.`, `tęs.įv.vyr.vns.Įn.`, `užs.`, `vksm.asm.liep.dgs.1.`, `vksm.asm.liep.dgs.2.`, `vksm.asm.liep.vns.2.`, `vksm.asm.liep.vns.3.`, `vksm.asm.neig.liep.dgs.2.`, `vksm.asm.neig.liep.vns.2.`, `vksm.asm.neig.sngr.liep.dgs.2.`, `vksm.asm.neig.sngr.tar.3.`, `vksm.asm.neig.sngr.tar.dgs.1.`, `vksm.asm.neig.sngr.tar.vns.1.`, `vksm.asm.neig.sngr.tar.vns.3.`, `vksm.asm.neig.sngr.tiesiog.būs.vns.2.`, `vksm.asm.neig.sngr.tiesiog.būs.vns.3.`, `vksm.asm.neig.sngr.tiesiog.būt-k.3.`, `vksm.asm.neig.sngr.tiesiog.būt-k.dgs.3.`, `vksm.asm.neig.sngr.tiesiog.būt-k.vns.1.`, `vksm.asm.neig.sngr.tiesiog.būt-k.vns.3.`, `vksm.asm.neig.sngr.tiesiog.es.3.`, `vksm.asm.neig.sngr.tiesiog.es.dgs.3.`, `vksm.asm.neig.sngr.tiesiog.es.vns.1.`, `vksm.asm.neig.sngr.tiesiog.es.vns.3.`, `vksm.asm.neig.tar.3.`, `vksm.asm.neig.tar.dgs.1.`, `vksm.asm.neig.tar.dgs.3.`, `vksm.asm.neig.tar.vns.1.`, `vksm.asm.neig.tar.vns.2.`, `vksm.asm.neig.tar.vns.3.`, `vksm.asm.neig.tiesiog.būs.3.`, `vksm.asm.neig.tiesiog.būs.dgs.1.`, `vksm.asm.neig.tiesiog.būs.dgs.3.`, `vksm.asm.neig.tiesiog.būs.vns.1.`, `vksm.asm.neig.tiesiog.būs.vns.2.`, `vksm.asm.neig.tiesiog.būs.vns.3.`, `vksm.asm.neig.tiesiog.būt-d.vns.1.`, `vksm.asm.neig.tiesiog.būt-d.vns.3.`, `vksm.asm.neig.tiesiog.būt-k.3.`, `vksm.asm.neig.tiesiog.būt-k.dgs.1.`, `vksm.asm.neig.tiesiog.būt-k.dgs.3.`, `vksm.asm.neig.tiesiog.būt-k.vns.1.`, `vksm.asm.neig.tiesiog.būt-k.vns.2.`, `vksm.asm.neig.tiesiog.būt-k.vns.3.`, `vksm.asm.neig.tiesiog.es.3.`, `vksm.asm.neig.tiesiog.es.dgs.1.`, `vksm.asm.neig.tiesiog.es.dgs.2.`, `vksm.asm.neig.tiesiog.es.dgs.3.`, `vksm.asm.neig.tiesiog.es.vns.1.`, `vksm.asm.neig.tiesiog.es.vns.2.`, `vksm.asm.neig.tiesiog.es.vns.3.`, `vksm.asm.sngr.liep.dgs.1.`, `vksm.asm.sngr.liep.dgs.2.`, `vksm.asm.sngr.liep.vns.2.`, `vksm.asm.sngr.tar.3.`, `vksm.asm.sngr.tar.dgs.3.`, `vksm.asm.sngr.tar.vns.1.`, `vksm.asm.sngr.tar.vns.3.`, `vksm.asm.sngr.tiesiog.būs.dgs.1.`, `vksm.asm.sngr.tiesiog.būs.dgs.2.`, `vksm.asm.sngr.tiesiog.būs.dgs.3.`, `vksm.asm.sngr.tiesiog.būs.vns.2.`, `vksm.asm.sngr.tiesiog.būs.vns.3.`, `vksm.asm.sngr.tiesiog.būt-d.dgs.3.`, `vksm.asm.sngr.tiesiog.būt-d.vns.1.`, `vksm.asm.sngr.tiesiog.būt-d.vns.3.`, `vksm.asm.sngr.tiesiog.būt-k.3.`, `vksm.asm.sngr.tiesiog.būt-k.dgs.1.`, `vksm.asm.sngr.tiesiog.būt-k.dgs.3.`, `vksm.asm.sngr.tiesiog.būt-k.vns.1.`, `vksm.asm.sngr.tiesiog.būt-k.vns.3.`, `vksm.asm.sngr.tiesiog.es.3.`, `vksm.asm.sngr.tiesiog.es.dgs.1.`, `vksm.asm.sngr.tiesiog.es.dgs.3.`, `vksm.asm.sngr.tiesiog.es.vns.1.`, `vksm.asm.sngr.tiesiog.es.vns.2.`, `vksm.asm.sngr.tiesiog.es.vns.3.`, `vksm.asm.tar.3.`, `vksm.asm.tar.dgs.1.`, `vksm.asm.tar.dgs.2.`, `vksm.asm.tar.dgs.3.`, `vksm.asm.tar.vns.1.`, `vksm.asm.tar.vns.2.`, `vksm.asm.tar.vns.3.`, `vksm.asm.tiesiog.būs.3.`, `vksm.asm.tiesiog.būs.dgs.1.`, `vksm.asm.tiesiog.būs.dgs.2.`, `vksm.asm.tiesiog.būs.dgs.3.`, `vksm.asm.tiesiog.būs.vns.1.`, `vksm.asm.tiesiog.būs.vns.2.`, `vksm.asm.tiesiog.būs.vns.3.`, `vksm.asm.tiesiog.būt-d.3.`, `vksm.asm.tiesiog.būt-d.dgs.3.`, `vksm.asm.tiesiog.būt-d.vns.1.`, `vksm.asm.tiesiog.būt-d.vns.2.`, `vksm.asm.tiesiog.būt-d.vns.3.`, `vksm.asm.tiesiog.būt-k.`, `vksm.asm.tiesiog.būt-k.3.`, `vksm.asm.tiesiog.būt-k.dgs.1.`, `vksm.asm.tiesiog.būt-k.dgs.2.`, `vksm.asm.tiesiog.būt-k.dgs.3.`, `vksm.asm.tiesiog.būt-k.vns.1.`, `vksm.asm.tiesiog.būt-k.vns.2.`, `vksm.asm.tiesiog.būt-k.vns.3.`, `vksm.asm.tiesiog.es.3.`, `vksm.asm.tiesiog.es.dgs.1.`, `vksm.asm.tiesiog.es.dgs.2.`, `vksm.asm.tiesiog.es.dgs.3.`, `vksm.asm.tiesiog.es.vns.1.`, `vksm.asm.tiesiog.es.vns.2.`, `vksm.asm.tiesiog.es.vns.3.`, `vksm.bndr.`, `vksm.bndr.neig.`, `vksm.bndr.neig.sngr.`, `vksm.bndr.sngr.`, `vksm.dlv.neig.neveik.būt.bev.`, `vksm.dlv.neig.neveik.būt.mot.dgs.G.`, `vksm.dlv.neig.neveik.būt.mot.dgs.K.`, `vksm.dlv.neig.neveik.būt.mot.dgs.V.`, `vksm.dlv.neig.neveik.būt.mot.vns.K.`, `vksm.dlv.neig.neveik.būt.mot.vns.V.`, `vksm.dlv.neig.neveik.būt.vyr.dgs.N.`, `vksm.dlv.neig.neveik.būt.vyr.dgs.V.`, `vksm.dlv.neig.neveik.būt.vyr.vns.G.`, `vksm.dlv.neig.neveik.būt.vyr.vns.N.`, `vksm.dlv.neig.neveik.būt.vyr.vns.V.`, `vksm.dlv.neig.neveik.es.bev.`, `vksm.dlv.neig.neveik.es.mot.dgs.K.`, `vksm.dlv.neig.neveik.es.mot.dgs.V.`, `vksm.dlv.neig.neveik.es.mot.vns.G.`, `vksm.dlv.neig.neveik.es.mot.vns.K.`, `vksm.dlv.neig.neveik.es.mot.vns.V.`, `vksm.dlv.neig.neveik.es.mot.vns.Įn.`, `vksm.dlv.neig.neveik.es.vyr.dgs.G.`, `vksm.dlv.neig.neveik.es.vyr.dgs.K.`, `vksm.dlv.neig.neveik.es.vyr.dgs.V.`, `vksm.dlv.neig.neveik.es.vyr.vns.V.`, `vksm.dlv.neig.neveik.es.įvardž.mot.dgs.V.`, `vksm.dlv.neig.reik.bev.`, `vksm.dlv.neig.reik.mot.dgs.K.`, `vksm.dlv.neig.reik.mot.vns.V.`, `vksm.dlv.neig.reik.vyr.vns.V.`, `vksm.dlv.neig.sngr.neveik.būt.bev.`, `vksm.dlv.neig.sngr.neveik.es.bev.`, `vksm.dlv.neig.sngr.veik.būt-k.vyr.dgs.V.`, `vksm.dlv.neig.sngr.veik.es.vyr.vns.V.`, `vksm.dlv.neig.veik.būt-k.bev.`, `vksm.dlv.neig.veik.būt-k.vyr.dgs.V.`, `vksm.dlv.neig.veik.būt-k.vyr.dgs.Įn.`, `vksm.dlv.neig.veik.būt-k.vyr.vns.G.`, `vksm.dlv.neig.veik.būt-k.vyr.vns.V.`, `vksm.dlv.neig.veik.es.mot.dgs.K.`, `vksm.dlv.neig.veik.es.mot.vns.N.`, `vksm.dlv.neig.veik.es.mot.vns.V.`, `vksm.dlv.neig.veik.es.mot.vns.Įn.`, `vksm.dlv.neig.veik.es.vyr.dgs.G.`, `vksm.dlv.neig.veik.es.vyr.dgs.N.`, `vksm.dlv.neig.veik.es.vyr.dgs.V.`, `vksm.dlv.neig.veik.es.vyr.dgs.Įn.`, `vksm.dlv.neig.veik.es.vyr.vns.K.`, `vksm.dlv.neig.veik.es.vyr.vns.N.`, `vksm.dlv.neig.veik.es.vyr.vns.V.`, `vksm.dlv.neig.veik.es.įvardž.vyr.dgs.V.`, `vksm.dlv.neig.veik.es.įvardž.vyr.dgs.Įn.`, `vksm.dlv.neveik.būs.vyr.vns.G.`, `vksm.dlv.neveik.būs.vyr.vns.N.`, `vksm.dlv.neveik.būt-k.vyr.dgs.V.`, `vksm.dlv.neveik.būt-k.vyr.vns.V.`, `vksm.dlv.neveik.būt.bev.`, `vksm.dlv.neveik.būt.mot.V.`, `vksm.dlv.neveik.būt.mot.dgs.G.`, `vksm.dlv.neveik.būt.mot.dgs.K`, `vksm.dlv.neveik.būt.mot.dgs.K.`, `vksm.dlv.neveik.būt.mot.dgs.N.`, `vksm.dlv.neveik.būt.mot.dgs.V.`, `vksm.dlv.neveik.būt.mot.dgs.Įn.`, `vksm.dlv.neveik.būt.mot.vns.G.`, `vksm.dlv.neveik.būt.mot.vns.K.`, `vksm.dlv.neveik.būt.mot.vns.N.`, `vksm.dlv.neveik.būt.mot.vns.V`, `vksm.dlv.neveik.būt.mot.vns.V.`, `vksm.dlv.neveik.būt.mot.vns.Vt.`, `vksm.dlv.neveik.būt.mot.vns.Įn.`, `vksm.dlv.neveik.būt.vyr.dgs.G.`, `vksm.dlv.neveik.būt.vyr.dgs.K.`, `vksm.dlv.neveik.būt.vyr.dgs.N.`, `vksm.dlv.neveik.būt.vyr.dgs.V`, `vksm.dlv.neveik.būt.vyr.dgs.V.`, `vksm.dlv.neveik.būt.vyr.dgs.Vt.`, `vksm.dlv.neveik.būt.vyr.dgs.Įn.`, `vksm.dlv.neveik.būt.vyr.vns.G.`, `vksm.dlv.neveik.būt.vyr.vns.K.`, `vksm.dlv.neveik.būt.vyr.vns.N.`, `vksm.dlv.neveik.būt.vyr.vns.V`, `vksm.dlv.neveik.būt.vyr.vns.V.`, `vksm.dlv.neveik.būt.vyr.vns.Vt.`, `vksm.dlv.neveik.būt.vyr.vns.Įn.`, `vksm.dlv.neveik.būt.įvardž.mot.dgs.G.`, `vksm.dlv.neveik.būt.įvardž.mot.dgs.K.`, `vksm.dlv.neveik.būt.įvardž.vyr.dgs.G.`, `vksm.dlv.neveik.būt.įvardž.vyr.dgs.K.`, `vksm.dlv.neveik.būt.įvardž.vyr.dgs.V.`, `vksm.dlv.neveik.būt.įvardž.vyr.vns.K.`, `vksm.dlv.neveik.būt.įvardž.vyr.vns.V.`, `vksm.dlv.neveik.būts.vyr.dgs.V.`, `vksm.dlv.neveik.es.bev.`, `vksm.dlv.neveik.es.mot.V.`, `vksm.dlv.neveik.es.mot.dgs.G.`, `vksm.dlv.neveik.es.mot.dgs.K.`, `vksm.dlv.neveik.es.mot.dgs.N.`, `vksm.dlv.neveik.es.mot.dgs.V.`, `vksm.dlv.neveik.es.mot.dgs.Vt.`, `vksm.dlv.neveik.es.mot.dgs.Įn.`, `vksm.dlv.neveik.es.mot.vns.G.`, `vksm.dlv.neveik.es.mot.vns.K.`, `vksm.dlv.neveik.es.mot.vns.N.`, `vksm.dlv.neveik.es.mot.vns.V`, `vksm.dlv.neveik.es.mot.vns.V.`, `vksm.dlv.neveik.es.mot.vns.Vt.`, `vksm.dlv.neveik.es.mot.vns.Įn.`, `vksm.dlv.neveik.es.vyr.dgs.G.`, `vksm.dlv.neveik.es.vyr.dgs.K.`, `vksm.dlv.neveik.es.vyr.dgs.N.`, `vksm.dlv.neveik.es.vyr.dgs.V.`, `vksm.dlv.neveik.es.vyr.dgs.Įn.`, `vksm.dlv.neveik.es.vyr.vns.G.`, `vksm.dlv.neveik.es.vyr.vns.K.`, `vksm.dlv.neveik.es.vyr.vns.N.`, `vksm.dlv.neveik.es.vyr.vns.V.`, `vksm.dlv.neveik.es.vyr.vns.Įn.`, `vksm.dlv.neveik.es.įvardž.mot.dgs.K.`, `vksm.dlv.neveik.es.įvardž.mot.dgs.V.`, `vksm.dlv.neveik.es.įvardž.mot.dgs.Įn.`, `vksm.dlv.neveik.es.įvardž.mot.vns.G.`, `vksm.dlv.neveik.es.įvardž.mot.vns.K.`, `vksm.dlv.neveik.es.įvardž.mot.vns.N.`, `vksm.dlv.neveik.es.įvardž.mot.vns.V.`, `vksm.dlv.neveik.es.įvardž.vyr.dgs.G.`, `vksm.dlv.neveik.es.įvardž.vyr.dgs.K.`, `vksm.dlv.neveik.es.įvardž.vyr.dgs.N.`, `vksm.dlv.neveik.es.įvardž.vyr.dgs.V.`, `vksm.dlv.neveik.es.įvardž.vyr.vns.G.`, `vksm.dlv.neveik.es.įvardž.vyr.vns.K.`, `vksm.dlv.neveik.es.įvardž.vyr.vns.N.`, `vksm.dlv.neveik.es.įvardž.vyr.vns.V.`, `vksm.dlv.neveik.es.įvardž.vyr.vns.Įn.`, `vksm.dlv.neveik.mot.vns.V.`, `vksm.dlv.neveik.vyr.dgs.K.`, `vksm.dlv.neveik.įvardž.es.mot.vns.Vt.`, `vksm.dlv.neveik.įvardž.es.vyr.dgs.K.`, `vksm.dlv.neveik.įvardž.es.vyr.vns.K.`, `vksm.dlv.reik.bev.`, `vksm.dlv.reik.mot.vns.V.`, `vksm.dlv.reik.vyr.dgs.K.`, `vksm.dlv.reik.vyr.dgs.V.`, `vksm.dlv.reik.vyr.vns.V.`, `vksm.dlv.sngr.neveik.būt.bev.`, `vksm.dlv.sngr.neveik.būt.mot.dgs.G.`, `vksm.dlv.sngr.neveik.būt.mot.dgs.V.`, `vksm.dlv.sngr.neveik.būt.mot.vns.V.`, `vksm.dlv.sngr.neveik.būt.mot.vns.Vt.`, `vksm.dlv.sngr.neveik.būt.vyr.dgs.G.`, `vksm.dlv.sngr.neveik.būt.vyr.dgs.V.`, `vksm.dlv.sngr.neveik.būt.vyr.dgs.Vt.`, `vksm.dlv.sngr.neveik.būt.vyr.dgs.Įn.`, `vksm.dlv.sngr.neveik.būt.vyr.vns.G.`, `vksm.dlv.sngr.neveik.būt.vyr.vns.K.`, `vksm.dlv.sngr.neveik.būt.vyr.vns.V.`, `vksm.dlv.sngr.neveik.es.bev.`, `vksm.dlv.sngr.neveik.es.mot.dgs.V.`, `vksm.dlv.sngr.neveik.es.mot.vns.V.`, `vksm.dlv.sngr.neveik.es.vyr.dgs.Įn.`, `vksm.dlv.sngr.neveik.es.vyr.vns.V.`, `vksm.dlv.sngr.veik.būt-k.bev.`, `vksm.dlv.sngr.veik.būt-k.mot.dgs.G.`, `vksm.dlv.sngr.veik.būt-k.mot.dgs.K.`, `vksm.dlv.sngr.veik.būt-k.mot.dgs.V.`, `vksm.dlv.sngr.veik.būt-k.mot.dgs.Įn.`, `vksm.dlv.sngr.veik.būt-k.mot.vns.G.`, `vksm.dlv.sngr.veik.būt-k.mot.vns.K.`, `vksm.dlv.sngr.veik.būt-k.mot.vns.V.`, `vksm.dlv.sngr.veik.būt-k.mot.vns.Įn.`, `vksm.dlv.sngr.veik.būt-k.vyr.dgs.G.`, `vksm.dlv.sngr.veik.būt-k.vyr.dgs.K.`, `vksm.dlv.sngr.veik.būt-k.vyr.dgs.V.`, `vksm.dlv.sngr.veik.būt-k.vyr.dgs.Įn.`, `vksm.dlv.sngr.veik.būt-k.vyr.vns.G.`, `vksm.dlv.sngr.veik.būt-k.vyr.vns.K.`, `vksm.dlv.sngr.veik.būt-k.vyr.vns.V.`, `vksm.dlv.sngr.veik.es.mot.dgs.K.`, `vksm.dlv.sngr.veik.es.mot.dgs.V.`, `vksm.dlv.sngr.veik.es.mot.dgs.Įn.`, `vksm.dlv.sngr.veik.es.mot.vns.K.`, `vksm.dlv.sngr.veik.es.vyr.dgs.G.`, `vksm.dlv.sngr.veik.es.vyr.dgs.K.`, `vksm.dlv.sngr.veik.es.vyr.dgs.N.`, `vksm.dlv.sngr.veik.es.vyr.dgs.V.`, `vksm.dlv.sngr.veik.es.vyr.vns.G.`, `vksm.dlv.sngr.veik.es.vyr.vns.K.`, `vksm.dlv.sngr.veik.es.vyr.vns.N.`, `vksm.dlv.sngr.veik.es.vyr.vns.V.`, `vksm.dlv.sngr.veik.es.įvardž.mot.vns.K.`, `vksm.dlv.veik.būs.vyr.vns.V.`, `vksm.dlv.veik.būt-k.bev.`, `vksm.dlv.veik.būt-k.mot.dgs.G.`, `vksm.dlv.veik.būt-k.mot.dgs.K.`, `vksm.dlv.veik.būt-k.mot.dgs.N.`, `vksm.dlv.veik.būt-k.mot.dgs.V.`, `vksm.dlv.veik.būt-k.mot.dgs.Vt.`, `vksm.dlv.veik.būt-k.mot.vns.G.`, `vksm.dlv.veik.būt-k.mot.vns.K.`, `vksm.dlv.veik.būt-k.mot.vns.N.`, `vksm.dlv.veik.būt-k.mot.vns.V.`, `vksm.dlv.veik.būt-k.mot.vns.Įn.`, `vksm.dlv.veik.būt-k.vyr.dgs.G.`, `vksm.dlv.veik.būt-k.vyr.dgs.K.`, `vksm.dlv.veik.būt-k.vyr.dgs.N.`, `vksm.dlv.veik.būt-k.vyr.dgs.V.`, `vksm.dlv.veik.būt-k.vyr.dgs.Įn.`, `vksm.dlv.veik.būt-k.vyr.vns.G.`, `vksm.dlv.veik.būt-k.vyr.vns.K.`, `vksm.dlv.veik.būt-k.vyr.vns.N.`, `vksm.dlv.veik.būt-k.vyr.vns.V.`, `vksm.dlv.veik.būt-k.vyr.vns.Vt.`, `vksm.dlv.veik.būt-k.vyr.vns.Įn.`, `vksm.dlv.veik.būt-k.įvardž.vyr.dgs.K.`, `vksm.dlv.veik.būt-k.įvardž.vyr.dgs.V.`, `vksm.dlv.veik.būt-k.įvardž.vyr.vns.K.`, `vksm.dlv.veik.būt-k.įvardž.vyr.vns.V.`, `vksm.dlv.veik.būt-k.įvardž.vyr.vns.Įn.`, `vksm.dlv.veik.būt.k.vyr.dgs.V.`, `vksm.dlv.veik.es.mot.dgs.G.`, `vksm.dlv.veik.es.mot.dgs.K.`, `vksm.dlv.veik.es.mot.dgs.N.`, `vksm.dlv.veik.es.mot.dgs.V.`, `vksm.dlv.veik.es.mot.dgs.Vt.`, `vksm.dlv.veik.es.mot.dgs.Įn.`, `vksm.dlv.veik.es.mot.vns.G.`, `vksm.dlv.veik.es.mot.vns.K.`, `vksm.dlv.veik.es.mot.vns.N.`, `vksm.dlv.veik.es.mot.vns.V`, `vksm.dlv.veik.es.mot.vns.V.`, `vksm.dlv.veik.es.mot.vns.Vt.`, `vksm.dlv.veik.es.mot.vns.Įn.`, `vksm.dlv.veik.es.vyr.dgs.G.`, `vksm.dlv.veik.es.vyr.dgs.K.`, `vksm.dlv.veik.es.vyr.dgs.N.`, `vksm.dlv.veik.es.vyr.dgs.V.`, `vksm.dlv.veik.es.vyr.dgs.Vt.`, `vksm.dlv.veik.es.vyr.dgs.Įn.`, `vksm.dlv.veik.es.vyr.vns.G.`, `vksm.dlv.veik.es.vyr.vns.K.`, `vksm.dlv.veik.es.vyr.vns.N.`, `vksm.dlv.veik.es.vyr.vns.V.`, `vksm.dlv.veik.es.vyr.vns.Vt.`, `vksm.dlv.veik.es.vyr.vns.Įn.`, `vksm.dlv.veik.es.įvardž.mot.vns.K.`, `vksm.dlv.veik.es.įvardž.mot.vns.V.`, `vksm.dlv.veik.es.įvardž.vyr.dgs.K.`, `vksm.dlv.veik.es.įvardž.vyr.vns.K.`, `vksm.dlv.veik.es.įvardž.vyr.vns.N.`, `vksm.neig.dlv.neveik.es.mot.vns.V.`, `vksm.neveik.būt.vyr.dgs.V.`, `vksm.pad.būt-k.`, `vksm.pad.es.`, `vksm.pad.es.sngr.`, `vksm.pad.neig.būt-k.`, `vksm.pad.neig.es.`, `vksm.pad.neig.sngr.būt-k.`, `vksm.pad.neig.sngr.es.`, `vksm.pad.sngr.būt-k.`, `vksm.pad.sngr.es.`, `vksm.padlv.sngr.es.`, `vksm.pusd.mot.dgs.`, `vksm.pusd.mot.vns.`, `vksm.pusd.neig.mot.vns.`, `vksm.pusd.neig.vyr.dgs.`, `vksm.pusd.neig.vyr.vns.`, `vksm.pusd.sngr.mot.dgs.`, `vksm.pusd.sngr.mot.vns.`, `vksm.pusd.sngr.vyr.dgs.`, `vksm.pusd.sngr.vyr.vns.`, `vksm.pusd.vyr.dgs.`, `vksm.pusd.vyr.vns.`, `vksm.sngr.pad.es.`, `įv.G.`, `įv.K.`, `įv.N.`, `įv.V.`, `įv.bev.`, `įv.dgs.G.`, `įv.dgs.K.`, `įv.dgs.N.`, `įv.dgs.V.`, `įv.dgs.Vt.`, `įv.dgs.Įn.`, `įv.dvisk.V.`, `įv.mot.G.`, `įv.mot.K.`, `įv.mot.V.`, `įv.mot.dgs.G.`, `įv.mot.dgs.K.`, `įv.mot.dgs.N.`, `įv.mot.dgs.V.`, `įv.mot.dgs.Vt.`, `įv.mot.dgs.Įn.`, `įv.mot.dvisk.N.`, `įv.mot.dvisk.V.`, `įv.mot.vns.G.`, `įv.mot.vns.K.`, `įv.mot.vns.N.`, `įv.mot.vns.V.`, `įv.mot.vns.Vt.`, `įv.mot.vns.Įn.`, `įv.vns.G.`, `įv.vns.K.`, `įv.vns.N.`, `įv.vns.V.`, `įv.vns.Vt.`, `įv.vns.Įn.`, `įv.vyr.G.`, `įv.vyr.K.`, `įv.vyr.N.`, `įv.vyr.V.`, `įv.vyr.dgs.G.`, `įv.vyr.dgs.K.`, `įv.vyr.dgs.N.`, `įv.vyr.dgs.V.`, `įv.vyr.dgs.Vt.`, `įv.vyr.dgs.Įn.`, `įv.vyr.dvisk.G.`, `įv.vyr.dvisk.K.`, `įv.vyr.dvisk.V.`, `įv.vyr.vns.G.`, `įv.vyr.vns.K.`, `įv.vyr.vns.N.`, `įv.vyr.vns.V.`, `įv.vyr.vns.Vt.`, `įv.vyr.vns.Įn.`, `įv.vyr.Įn,`, `įv.Įn.`, `įv.įvardž.bev.`, `įv.įvardž.mot.vns.K.`, `įv.įvardž.mot.vns.V.` |
| **`morphologizer`** | `Definite=Ind\|Gender=Neut\|POS=VERB\|Polarity=Pos\|Tense=Pres\|VerbForm=Part\|Voice=Pass`, `POS=VERB\|Polarity=Pos\|VerbForm=Inf`, `Case=Gen\|Definite=Def\|Degree=Pos\|Gender=Fem\|Number=Plur\|POS=ADJ`, `Case=Gen\|Gender=Fem\|Number=Plur\|POS=NOUN`, `Case=Gen\|Gender=Masc\|Number=Plur\|POS=NOUN`, `Case=Acc\|Gender=Masc\|Number=Plur\|POS=NOUN`, `POS=VERB\|Polarity=Pos\|Tense=Pres\|VerbForm=Ger`, `Case=Gen\|Gender=Masc\|Number=Sing\|POS=NOUN`, `POS=CCONJ`, `POS=PUNCT`, `Case=Gen\|Definite=Ind\|Gender=Masc\|Number=Plur\|POS=PRON\|PronType=Ind`, `Case=Acc\|Definite=Ind\|Degree=Pos\|Gender=Fem\|Number=Plur\|POS=ADJ`, `Case=Acc\|Gender=Fem\|Number=Plur\|POS=NOUN`, `Case=Loc\|Gender=Fem\|Number=Plur\|POS=NOUN`, `Case=Gen\|Definite=Ind\|Gender=Masc\|Number=Plur\|POS=VERB\|Polarity=Pos\|Tense=Pres\|VerbForm=Part\|Voice=Act`, `Case=Acc\|Gender=Masc\|Number=Sing\|POS=NOUN`, `Case=Acc\|Definite=Ind\|Gender=Fem\|Number=Plur\|POS=PRON\|PronType=Ind`, `Case=Acc\|Definite=Ind\|Gender=Fem\|Number=Sing\|POS=DET\|PronType=Dem`, `Case=Acc\|Gender=Fem\|Number=Sing\|POS=NOUN`, `Aspect=Perf\|Mood=Ind\|Number=Sing\|POS=VERB\|Person=3\|Polarity=Pos\|Tense=Past\|VerbForm=Fin`, `Aspect=Perf\|Case=Nom\|Definite=Ind\|Gender=Masc\|Number=Sing\|POS=VERB\|Polarity=Pos\|Tense=Past\|VerbForm=Part\|Voice=Act`, `Case=Gen\|Gender=Fem\|Number=Sing\|POS=NOUN`, `Case=Nom\|Gender=Masc\|Number=Sing\|POS=NOUN`, `Abbr=Yes\|POS=X`, `AdpType=Prep\|Case=Gen\|POS=ADP`, `Case=Gen\|Gender=Masc\|Number=Sing\|POS=PROPN`, `Case=Nom\|Definite=Ind\|Degree=Pos\|Gender=Fem\|Number=Plur\|POS=ADJ`, `Case=Nom\|Gender=Fem\|Number=Plur\|POS=NOUN`, `Case=Ins\|Gender=Masc\|Number=Sing\|POS=NOUN`, `Mood=Ind\|Number=Plur\|POS=VERB\|Person=3\|Polarity=Pos\|Tense=Pres\|VerbForm=Fin`, `Case=Acc\|Definite=Ind\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=ADJ`, `Mood=Cnd\|POS=VERB\|Person=3\|Polarity=Pos\|VerbForm=Fin`, `Case=Gen\|Definite=Ind\|Gender=Fem\|Number=Plur\|POS=PRON\|PronType=Ind`, `Case=Nom\|Gender=Masc\|Number=Plur\|POS=NOUN`, `Mood=Ind\|Number=Plur\|POS=AUX\|Person=3\|Polarity=Pos\|Tense=Pres\|VerbForm=Fin`, `Degree=Pos\|POS=ADV`, `Case=Nom\|Definite=Ind\|Degree=Pos\|Gender=Masc\|Number=Plur\|POS=ADJ`, `Degree=Pos\|Hyph=Yes\|POS=ADV`, `Hyph=Yes\|POS=X`, `Case=Nom\|Definite=Ind\|Gender=Masc\|Number=Plur\|POS=PRON\|Person=3\|PronType=Prs`, `POS=SCONJ`, `Mood=Ind\|POS=VERB\|Person=3\|Polarity=Pos\|Tense=Pres\|VerbForm=Fin`, `Case=Nom\|Definite=Ind\|POS=PRON\|PronType=Ind`, `Case=Nom\|Definite=Ind\|Gender=Fem\|Number=Sing\|POS=DET\|PronType=Dem`, `Case=Nom\|Gender=Fem\|Number=Sing\|POS=NOUN`, `Mood=Ind\|Number=Sing\|POS=VERB\|Person=3\|Polarity=Pos\|Reflex=Yes\|Tense=Pres\|VerbForm=Fin`, `Mood=Ind\|Number=Sing\|POS=VERB\|Person=3\|Polarity=Pos\|Tense=Pres\|VerbForm=Fin`, `Case=Acc\|Definite=Ind\|POS=PRON\|PronType=Ind`, `POS=PART`, `Case=Gen\|Definite=Ind\|Degree=Pos\|Gender=Fem\|Number=Sing\|POS=ADJ`, `Mood=Ind\|Number=Plur\|POS=VERB\|Person=3\|Polarity=Pos\|Reflex=Yes\|Tense=Pres\|VerbForm=Fin`, `Case=Gen\|Definite=Ind\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Dem`, `Case=Ins\|Gender=Masc\|NumForm=Word\|NumType=Card\|POS=NUM`, `Case=Ins\|Gender=Masc\|Number=Plur\|POS=NOUN`, `Case=Ins\|Definite=Ind\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=ADJ`, `Definite=Ind\|Gender=Neut\|POS=DET\|PronType=Dem`, `Mood=Ind\|POS=AUX\|Person=3\|Polarity=Pos\|Tense=Pres\|VerbForm=Fin`, `Definite=Ind\|Degree=Pos\|Gender=Neut\|POS=ADJ`, `Case=Nom\|Definite=Ind\|Gender=Masc\|Number=Sing\|POS=PRON\|PronType=Ind`, `Case=Nom\|Gender=Masc\|Number=Sing\|POS=PROPN`, `Case=Loc\|Definite=Ind\|Gender=Fem\|Number=Sing\|POS=VERB\|Polarity=Pos\|Tense=Pres\|VerbForm=Part\|Voice=Pass`, `Case=Gen\|Definite=Def\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=ADJ`, `Case=Loc\|Gender=Fem\|Number=Sing\|POS=NOUN`, `Aspect=Perf\|POS=VERB\|Polarity=Pos\|Reflex=Yes\|Tense=Past\|VerbForm=Ger`, `Case=Dat\|Gender=Masc\|Number=Sing\|POS=NOUN`, `Mood=Ind\|Number=Plur\|POS=VERB\|Person=3\|Polarity=Pos\|Tense=Fut\|VerbForm=Fin`, `Mood=Ind\|POS=VERB\|Person=3\|Polarity=Pos\|Tense=Fut\|VerbForm=Fin`, `POS=VERB\|Polarity=Pos\|Reflex=Yes\|VerbForm=Inf`, `Degree=Cmp\|POS=ADV`, `Case=Gen\|Gender=Fem\|Number=Sing\|POS=PROPN`, `Mood=Ind\|Number=Sing\|POS=VERB\|Person=3\|Polarity=Pos\|Tense=Fut\|VerbForm=Fin`, `Case=Gen\|Definite=Ind\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Dem`, `Mood=Ind\|POS=VERB\|Person=3\|Polarity=Neg\|Tense=Pres\|VerbForm=Fin`, `Mood=Ind\|Number=Sing\|POS=VERB\|Person=3\|Polarity=Neg\|Tense=Pres\|VerbForm=Fin`, `Case=Gen\|Definite=Ind\|Gender=Masc\|Number=Sing\|POS=PRON\|PronType=Ind`, `Definite=Ind\|NumForm=Digit\|POS=NUM`, `Case=Gen\|Gender=Masc\|NumForm=Word\|NumType=Card\|Number=Plur\|POS=NUM`, `Case=Nom\|Definite=Ind\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=ADJ`, `Case=Acc\|Gender=Masc\|NumForm=Word\|NumType=Card\|Number=Sing\|POS=NUM`, `Case=Dat\|Definite=Ind\|Number=Sing\|POS=PRON\|Person=1\|PronType=Prs`, `Case=Gen\|Definite=Ind\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Tot`, `Case=Nom\|Definite=Ind\|Gender=Masc\|Number=Plur\|POS=VERB\|Polarity=Pos\|Tense=Past\|VerbForm=Part\|Voice=Pass`, `Case=Loc\|Definite=Ind\|Gender=Fem\|Number=Plur\|POS=PRON\|PronType=Ind`, `Case=Nom\|Gender=Masc\|NumForm=Word\|NumType=Card\|Number=Plur\|POS=NUM`, `NumForm=Word\|NumType=Card\|POS=NUM`, `Case=Nom\|Definite=Ind\|Gender=Fem\|Hyph=Yes\|Number=Plur\|POS=DET\|PronType=Dem`, `Mood=Ind\|Number=Sing\|POS=VERB\|Person=1\|Polarity=Pos\|Tense=Pres\|VerbForm=Fin`, `Case=Nom\|Definite=Def\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=ADJ`, `Case=Nom\|Definite=Ind\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Int`, `Case=Acc\|Definite=Ind\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Dem`, `Case=Dat\|Gender=Masc\|Number=Plur\|POS=NOUN`, `Case=Nom\|Gender=Fem\|Number=Sing\|POS=PROPN`, `Case=Nom\|Definite=Ind\|Gender=Fem\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs`, `Hyph=Yes\|POS=PART`, `Mood=Cnd\|Number=Sing\|POS=AUX\|Person=3\|Polarity=Pos\|VerbForm=Fin`, `Case=Nom\|Definite=Ind\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs`, `Case=Loc\|Gender=Masc\|Number=Sing\|POS=NOUN`, `AdpType=Prep\|Case=Acc\|POS=ADP`, `Mood=Cnd\|Number=Sing\|POS=VERB\|Person=3\|Polarity=Pos\|VerbForm=Fin`, `Case=Gen\|Definite=Def\|Gender=Fem\|NumForm=Combi\|NumType=Ord\|Number=Sing\|POS=NUM`, `Case=Nom\|Definite=Def\|Gender=Fem\|NumForm=Word\|NumType=Ord\|Number=Sing\|POS=NUM`, `Aspect=Perf\|Mood=Ind\|Number=Plur\|POS=VERB\|Person=3\|Polarity=Pos\|Tense=Past\|VerbForm=Fin`, `Case=Acc\|Definite=Ind\|Degree=Pos\|Gender=Fem\|Number=Sing\|POS=ADJ`, `Mood=Ind\|Number=Plur\|POS=VERB\|Person=3\|Polarity=Neg\|Tense=Pres\|VerbForm=Fin`, `Definite=Ind\|NumForm=Roman\|POS=NUM`, `Case=Gen\|Definite=Ind\|Gender=Masc\|Number=Plur\|POS=PRON\|Person=3\|PronType=Prs`, `Case=Gen\|Definite=Ind\|Degree=Pos\|Gender=Masc\|Number=Plur\|POS=ADJ`, `Aspect=Perf\|Case=Nom\|Definite=Ind\|Gender=Masc\|Number=Sing\|POS=VERB\|Polarity=Pos\|Reflex=Yes\|Tense=Past\|VerbForm=Part\|Voice=Act`, `Case=Gen\|Definite=Ind\|Gender=Fem\|NumForm=Word\|NumType=Ord\|Number=Sing\|POS=NUM`, `Case=Nom\|Definite=Ind\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Dem`, `Case=Nom\|Definite=Ind\|Gender=Masc\|Mood=Nec\|Number=Sing\|POS=VERB\|Polarity=Pos\|VerbForm=Part`, `Case=Nom\|Definite=Ind\|Degree=Cmp\|Gender=Fem\|Number=Plur\|POS=ADJ`, `Aspect=Perf\|Case=Acc\|Definite=Ind\|Gender=Masc\|Number=Plur\|POS=VERB\|Polarity=Pos\|Reflex=Yes\|Tense=Past\|VerbForm=Part\|Voice=Act`, `Case=Dat\|Definite=Ind\|Gender=Masc\|Number=Plur\|POS=PRON\|Person=3\|PronType=Prs`, `Aspect=Perf\|Mood=Ind\|POS=VERB\|Person=3\|Polarity=Pos\|Tense=Past\|VerbForm=Fin`, `Aspect=Perf\|Case=Nom\|Definite=Ind\|Gender=Masc\|Number=Plur\|POS=VERB\|Polarity=Pos\|Tense=Past\|VerbForm=Part\|Voice=Act`, `Case=Gen\|Definite=Ind\|Degree=Pos\|Gender=Fem\|Number=Plur\|POS=ADJ`, `Case=Nom\|Definite=Ind\|Gender=Fem\|Number=Plur\|POS=DET\|PronType=Int`, `Degree=Sup\|POS=ADV`, `Case=Nom\|Definite=Ind\|Gender=Fem\|Number=Plur\|POS=VERB\|Polarity=Pos\|Tense=Past\|VerbForm=Part\|Voice=Pass`, `Case=Gen\|Definite=Ind\|Gender=Fem\|Mood=Nec\|Number=Plur\|POS=VERB\|Polarity=Neg\|VerbForm=Part`, `Mood=Ind\|Number=Sing\|POS=AUX\|Person=3\|Polarity=Pos\|Tense=Pres\|VerbForm=Fin`, `Case=Ins\|Definite=Ind\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Int`, `Case=Acc\|Definite=Ind\|Gender=Masc\|Number=Sing\|POS=VERB\|Polarity=Pos\|Tense=Pres\|VerbForm=Part\|Voice=Pass`, `Case=Acc\|Gender=Fem\|NumForm=Word\|NumType=Card\|Number=Sing\|POS=NUM`, `Mood=Ind\|Number=Sing\|POS=VERB\|Person=1\|Polarity=Pos\|Reflex=Yes\|Tense=Pres\|VerbForm=Fin`, `Mood=Ind\|Number=Plur\|POS=VERB\|Person=3\|Polarity=Neg\|Tense=Fut\|VerbForm=Fin`, `Case=Gen\|Definite=Def\|Gender=Masc\|NumForm=Combi\|NumType=Ord\|Number=Sing\|POS=NUM`, `Case=Nom\|Definite=Ind\|Gender=Masc\|Number=Sing\|POS=VERB\|Polarity=Pos\|Tense=Pres\|VerbForm=Part\|Voice=Pass`, `AdpType=Prep\|Case=Ins\|POS=ADP`, `Case=Gen\|Definite=Ind\|Gender=Masc\|POS=PRON\|PronType=Ind`, `Case=Nom\|Definite=Ind\|Gender=Masc\|Number=Sing\|POS=VERB\|Polarity=Pos\|Tense=Past\|VerbForm=Part\|Voice=Pass`, `Case=Gen\|Gender=Fem\|NumForm=Word\|NumType=Card\|POS=NUM`, `Case=Gen\|Gender=Masc\|Number=Sing\|POS=NOUN\|Reflex=Yes`, `Case=Ins\|Definite=Ind\|Degree=Pos\|Gender=Fem\|Number=Plur\|POS=ADJ`, `Case=Ins\|Gender=Fem\|Number=Plur\|POS=NOUN`, `Definite=Ind\|Gender=Neut\|POS=VERB\|Polarity=Neg\|Tense=Past\|VerbForm=Part\|Voice=Pass`, `Case=Dat\|Gender=Fem\|Number=Sing\|POS=NOUN`, `Case=Ins\|Gender=Fem\|Number=Sing\|POS=PROPN`, `Case=Nom\|Definite=Ind\|Gender=Masc\|Number=Plur\|POS=VERB\|Polarity=Pos\|Tense=Pres\|VerbForm=Part\|Voice=Pass`, `Case=Acc\|Definite=Ind\|Degree=Pos\|Gender=Masc\|Number=Plur\|POS=ADJ`, `POS=INTJ`, `Definite=Ind\|Gender=Neut\|NumForm=Word\|NumType=Ord\|POS=NUM`, `Case=Nom\|Definite=Ind\|Gender=Fem\|Number=Plur\|POS=VERB\|Polarity=Pos\|Tense=Pres\|VerbForm=Part\|Voice=Pass`, `Case=Loc\|Definite=Ind\|Gender=Fem\|Number=Plur\|POS=DET\|PronType=Dem`, `Case=Dat\|Definite=Ind\|Gender=Fem\|Number=Sing\|POS=VERB\|Polarity=Pos\|Tense=Pres\|VerbForm=Part\|Voice=Act`, `Case=Nom\|Definite=Ind\|Gender=Masc\|Number=Plur\|POS=VERB\|Polarity=Neg\|Tense=Pres\|VerbForm=Part\|Voice=Pass`, `Case=Gen\|Definite=Ind\|Gender=Fem\|Number=Plur\|POS=VERB\|Polarity=Pos\|Reflex=Yes\|Tense=Pres\|VerbForm=Part\|Voice=Act`, `Case=Gen\|Definite=Ind\|POS=PRON\|PronType=Neg`, `Case=Gen\|Definite=Ind\|Gender=Fem\|Number=Plur\|POS=VERB\|Polarity=Neg\|Tense=Pres\|VerbForm=Part\|Voice=Act`, `Case=Nom\|Definite=Ind\|Gender=Masc\|Number=Sing\|POS=VERB\|Polarity=Pos\|Reflex=Yes\|Tense=Past\|VerbForm=Part\|Voice=Pass`, `Case=Dat\|Definite=Ind\|Gender=Masc\|Number=Plur\|POS=PRON\|PronType=Ind`, `Case=Dat\|Gender=Fem\|Number=Plur\|POS=NOUN`, `Case=Nom\|Definite=Ind\|Degree=Pos\|Gender=Fem\|Number=Sing\|POS=ADJ`, `Case=Gen\|Gender=Masc\|NumForm=Word\|NumType=Card\|Number=Sing\|POS=NUM`, `Aspect=Perf\|Mood=Ind\|POS=AUX\|Person=3\|Polarity=Pos\|Tense=Past\|VerbForm=Fin`, `Definite=Ind\|Gender=Neut\|POS=VERB\|Polarity=Pos\|Reflex=Yes\|Tense=Past\|VerbForm=Part\|Voice=Pass`, `Case=Nom\|Definite=Ind\|Gender=Fem\|Number=Sing\|POS=VERB\|Polarity=Neg\|Tense=Past\|VerbForm=Part\|Voice=Pass`, `Definite=Ind\|Gender=Neut\|Hyph=Yes\|POS=PRON\|PronType=Ind`, `Definite=Ind\|Gender=Neut\|POS=VERB\|Polarity=Neg\|Tense=Pres\|VerbForm=Part\|Voice=Pass`, `Aspect=Perf\|Case=Dat\|Definite=Ind\|Gender=Masc\|Number=Plur\|POS=VERB\|Polarity=Pos\|Tense=Past\|VerbForm=Part\|Voice=Act`, `Aspect=Perf\|Mood=Ind\|Number=Sing\|POS=VERB\|Person=3\|Polarity=Neg\|Tense=Past\|VerbForm=Fin`, `Case=Gen\|Definite=Ind\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=ADJ`, `Case=Gen\|Definite=Def\|Gender=Masc\|NumForm=Word\|NumType=Ord\|Number=Sing\|POS=NUM`, `Aspect=Perf\|Mood=Ind\|Number=Sing\|POS=VERB\|Person=3\|Polarity=Pos\|Reflex=Yes\|Tense=Past\|VerbForm=Fin`, `Case=Gen\|Definite=Def\|Gender=Masc\|Number=Sing\|POS=VERB\|Polarity=Pos\|Tense=Pres\|VerbForm=Part\|Voice=Act`, `Case=Nom\|Definite=Ind\|POS=PRON\|PronType=Int`, `Case=Gen\|Definite=Ind\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs`, `Aspect=Perf\|Definite=Ind\|Gender=Neut\|POS=VERB\|Polarity=Pos\|Tense=Past\|VerbForm=Part\|Voice=Act`, `Case=Nom\|Definite=Ind\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Int`, `Case=Dat\|Definite=Ind\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Int`, `Aspect=Perf\|Mood=Ind\|Number=Sing\|POS=AUX\|Person=3\|Polarity=Pos\|Tense=Past\|VerbForm=Fin`, `Case=Nom\|Definite=Ind\|Gender=Masc\|Number=Sing\|POS=VERB\|Polarity=Neg\|Tense=Past\|VerbForm=Part\|Voice=Pass`, `Hyph=Yes\|POS=VERB\|Polarity=Pos\|Tense=Pres\|VerbForm=Ger`, `Definite=Ind\|Gender=Neut\|POS=VERB\|Polarity=Pos\|Tense=Past\|VerbForm=Part\|Voice=Pass`, `Case=Dat\|Definite=Ind\|Degree=Pos\|Gender=Masc\|Number=Plur\|POS=ADJ`, `Aspect=Perf\|Case=Acc\|Definite=Ind\|Gender=Fem\|Number=Sing\|POS=VERB\|Polarity=Pos\|Reflex=Yes\|Tense=Past\|VerbForm=Part\|Voice=Act`, `Case=Acc\|Definite=Ind\|Gender=Fem\|Number=Sing\|POS=VERB\|Polarity=Pos\|Tense=Past\|VerbForm=Part\|Voice=Pass`, `Case=Loc\|Definite=Ind\|Degree=Pos\|Gender=Fem\|Number=Sing\|POS=ADJ`, `Case=Acc\|Definite=Ind\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Dem`, `Case=Acc\|Definite=Ind\|Gender=Masc\|Number=Plur\|POS=PRON\|Person=3\|PronType=Prs`, `Aspect=Hab\|Mood=Ind\|Number=Plur\|POS=AUX\|Person=3\|Polarity=Pos\|Tense=Past\|VerbForm=Fin`, `Case=Acc\|Definite=Ind\|Gender=Fem\|Number=Plur\|POS=DET\|PronType=Dem`, `Case=Ins\|Definite=Ind\|Gender=Masc\|Number=Plur\|POS=VERB\|Polarity=Pos\|Tense=Past\|VerbForm=Part\|Voice=Pass`, `Aspect=Hab\|Mood=Ind\|Number=Sing\|POS=VERB\|Person=3\|Polarity=Pos\|Tense=Past\|VerbForm=Fin`, `Mood=Cnd\|Number=Sing\|POS=VERB\|Person=3\|Polarity=Neg\|Reflex=Yes\|VerbForm=Fin`, `Aspect=Perf\|Mood=Ind\|Number=Sing\|POS=VERB\|Person=3\|Polarity=Neg\|Reflex=Yes\|Tense=Past\|VerbForm=Fin`, `Case=Loc\|Gender=Masc\|Number=Plur\|POS=NOUN`, `Case=Dat\|Definite=Ind\|Degree=Pos\|Gender=Fem\|Number=Sing\|POS=ADJ`, `Abbr=Yes\|POS=NOUN`, `Case=Gen\|Definite=Ind\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Int`, `Case=Nom\|Definite=Ind\|Gender=Fem\|Number=Plur\|POS=DET\|PronType=Neg`, `Hyph=Yes\|POS=SCONJ`, `Aspect=Perf\|Case=Dat\|Definite=Ind\|Gender=Fem\|Number=Sing\|POS=VERB\|Polarity=Pos\|Tense=Past\|VerbForm=Part\|Voice=Act`, `Case=Gen\|Definite=Ind\|Gender=Fem\|Number=Sing\|POS=VERB\|Polarity=Pos\|Tense=Pres\|VerbForm=Part\|Voice=Act`, `Case=Ins\|Definite=Ind\|Gender=Masc\|Number=Plur\|POS=PRON\|PronType=Ind`, `Case=Dat\|Definite=Ind\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Tot`, `Case=Gen\|Definite=Ind\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Int`, `Mood=Ind\|Number=Sing\|POS=VERB\|Person=3\|Polarity=Neg\|Tense=Fut\|VerbForm=Fin`, `Case=Ins\|Gender=Fem\|Number=Sing\|POS=NOUN`, `Case=Acc\|Definite=Ind\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Emp`, `Case=Acc\|Definite=Def\|Gender=Masc\|NumForm=Combi\|NumType=Ord\|Number=Sing\|POS=NUM`, `Case=Nom\|Definite=Ind\|Gender=Masc\|Hyph=Yes\|Number=Plur\|POS=PRON\|PronType=Ind`, `Case=Nom\|Definite=Ind\|Gender=Masc\|Mood=Nec\|Number=Plur\|POS=VERB\|Polarity=Pos\|VerbForm=Part`, `Case=Dat\|Gender=Fem\|Number=Sing\|POS=PROPN`, `Case=Loc\|Gender=Fem\|Number=Sing\|POS=PROPN`, `Case=Acc\|Gender=Fem\|Number=Sing\|POS=PROPN`, `Case=Acc\|Definite=Def\|Gender=Masc\|NumType=Ord\|Number=Sing\|POS=NUM`, `Case=Nom\|Definite=Ind\|Gender=Fem\|Number=Sing\|POS=VERB\|Polarity=Pos\|Tense=Past\|VerbForm=Part\|Voice=Pass`, `Case=Acc\|Definite=Ind\|POS=PRON\|PronType=Int`, `Mood=Cnd\|Number=Plur\|POS=VERB\|Person=3\|Polarity=Pos\|VerbForm=Fin`, `Case=Nom\|Definite=Ind\|Gender=Fem\|Hyph=Yes\|Number=Plur\|POS=PRON\|PronType=Ind`, `Case=Dat\|Definite=Ind\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=ADJ`, `Aspect=Perf\|Case=Gen\|Definite=Ind\|Gender=Fem\|Number=Sing\|POS=VERB\|Polarity=Pos\|Reflex=Yes\|Tense=Past\|VerbForm=Part\|Voice=Act`, `Case=Nom\|Definite=Ind\|Gender=Fem\|Number=Sing\|POS=VERB\|Polarity=Pos\|Tense=Pres\|VerbForm=Part\|Voice=Pass`, `Case=Acc\|Definite=Ind\|Gender=Fem\|Number=Sing\|POS=DET\|PronType=Int`, `Aspect=Perf\|Case=Nom\|Definite=Ind\|Gender=Fem\|Number=Sing\|POS=VERB\|Polarity=Pos\|Tense=Past\|VerbForm=Part\|Voice=Act`, `Gender=Masc\|POS=NOUN`, `Case=Nom\|Definite=Ind\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Dem`, `Case=Nom\|Definite=Ind\|Gender=Masc\|Hyph=Yes\|Number=Sing\|POS=PRON\|PronType=Ind`, `Case=Gen\|Definite=Ind\|POS=PRON\|PronType=Prs\|Reflex=Yes`, `POS=VERB\|Polarity=Pos\|Reflex=Yes\|Tense=Pres\|VerbForm=Ger`, `Case=Acc\|Definite=Ind\|Gender=Fem\|Number=Sing\|POS=PRON\|PronType=Ind`, `Case=Gen\|Definite=Ind\|Gender=Fem\|Number=Plur\|POS=DET\|PronType=Dem`, `Case=Gen\|Definite=Ind\|Gender=Masc\|Hyph=Yes\|Number=Sing\|POS=DET\|PronType=Int`, `Mood=Ind\|POS=AUX\|Person=3\|Polarity=Pos\|Tense=Fut\|VerbForm=Fin`, `Case=Nom\|Definite=Ind\|Gender=Masc\|Number=Sing\|POS=VERB\|Polarity=Neg\|Tense=Pres\|VerbForm=Part\|Voice=Pass`, `Mood=Ind\|POS=VERB\|Person=3\|Polarity=Pos\|Reflex=Yes\|Tense=Pres\|VerbForm=Fin`, `Aspect=Perf\|POS=AUX\|Polarity=Pos\|Tense=Past\|VerbForm=Ger`, `Case=Dat\|Definite=Ind\|Gender=Fem\|Number=Sing\|POS=DET\|PronType=Int`, `Case=Nom\|Definite=Ind\|Gender=Fem\|POS=VERB\|Polarity=Pos\|Tense=Pres\|VerbForm=Part\|Voice=Pass`, `Case=Gen\|Definite=Ind\|Gender=Masc\|Number=Sing\|POS=VERB\|Polarity=Pos\|Tense=Pres\|VerbForm=Part\|Voice=Act`, `Case=Acc\|Definite=Ind\|Gender=Masc\|Number=Plur\|POS=PRON\|PronType=Ind`, `Case=Ins\|Definite=Ind\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Dem`, `Case=Acc\|Definite=Ind\|Gender=Fem\|Number=Sing\|POS=VERB\|Polarity=Pos\|Tense=Pres\|VerbForm=Part\|Voice=Pass`, `Case=Ins\|Definite=Ind\|Gender=Fem\|Number=Plur\|POS=DET\|PronType=Dem`, `Aspect=Perf\|Mood=Ind\|POS=VERB\|Polarity=Pos\|Tense=Past\|VerbForm=Fin`, `Aspect=Perf\|Mood=Ind\|Number=Plur\|POS=VERB\|Person=3\|Polarity=Neg\|Tense=Past\|VerbForm=Fin`, `Case=Gen\|Definite=Ind\|Degree=Cmp\|Gender=Masc\|Number=Sing\|POS=ADJ`, `Aspect=Perf\|Case=Gen\|Definite=Ind\|Gender=Masc\|Number=Plur\|POS=VERB\|Polarity=Pos\|Reflex=Yes\|Tense=Past\|VerbForm=Part\|Voice=Act`, `Aspect=Perf\|Mood=Ind\|Number=Plur\|POS=VERB\|Person=3\|Polarity=Pos\|Reflex=Yes\|Tense=Past\|VerbForm=Fin`, `Case=Nom\|Definite=Ind\|Hyph=Yes\|POS=PRON\|PronType=Int`, `Mood=Cnd\|POS=AUX\|Person=3\|Polarity=Pos\|VerbForm=Fin`, `POS=AUX\|Polarity=Pos\|Tense=Pres\|VerbForm=Ger`, `Aspect=Perf\|Mood=Ind\|Number=Sing\|POS=VERB\|Person=1\|Polarity=Pos\|Tense=Past\|VerbForm=Fin`, `Case=Gen\|Definite=Ind\|Gender=Fem\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs`, `Case=Loc\|Gender=Masc\|Number=Sing\|POS=PROPN`, `Case=Nom\|Gender=Masc\|NumForm=Word\|NumType=Card\|POS=NUM`, `Case=Gen\|Definite=Ind\|Gender=Fem\|Number=Plur\|POS=DET\|PronType=Tot`, `Case=Loc\|Definite=Ind\|Gender=Fem\|Number=Sing\|POS=VERB\|Polarity=Pos\|Tense=Past\|VerbForm=Part\|Voice=Pass`, `Case=Dat\|Gender=Masc\|Number=Sing\|POS=PROPN`, `Aspect=Perf\|Mood=Ind\|POS=VERB\|Person=3\|Polarity=Pos\|Reflex=Yes\|Tense=Past\|VerbForm=Fin`, `Case=Loc\|Gender=Fem\|NumForm=Word\|NumType=Card\|POS=NUM`, `Case=Nom\|Definite=Ind\|Gender=Masc\|Number=Plur\|POS=PRON\|PronType=Ind`, `Case=Nom\|Definite=Ind\|Gender=Fem\|Number=Sing\|POS=DET\|PronType=Int`, `Case=Loc\|Definite=Ind\|Degree=Pos\|Gender=Masc\|Number=Plur\|POS=ADJ`, `Case=Nom\|Definite=Ind\|Gender=Masc\|Number=Plur\|POS=VERB\|Polarity=Pos\|Tense=Pres\|VerbForm=Part\|Voice=Act`, `Case=Loc\|Definite=Def\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=ADJ`, `Aspect=Perf\|Mood=Ind\|Number=Plur\|POS=AUX\|Person=3\|Polarity=Pos\|Tense=Past\|VerbForm=Fin`, `Hyph=Yes\|POS=ADV`, `Case=Gen\|Gender=Masc\|NumForm=Word\|NumType=Card\|POS=NUM`, `Case=Acc\|Definite=Ind\|Gender=Masc\|Number=Plur\|POS=VERB\|Polarity=Pos\|Tense=Past\|VerbForm=Part\|Voice=Pass`, `Case=Acc\|Definite=Ind\|Gender=Masc\|Number=Plur\|POS=VERB\|Polarity=Pos\|Tense=Pres\|VerbForm=Part\|Voice=Pass`, `Case=Ins\|Definite=Ind\|Gender=Fem\|Number=Sing\|POS=VERB\|Polarity=Pos\|Tense=Pres\|VerbForm=Part\|Voice=Pass`, `Case=Ins\|Definite=Ind\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Int`, `Case=Acc\|Definite=Ind\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs`, `Case=Acc\|Definite=Ind\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Emp`, `Case=Ins\|Gender=Masc\|Number=Sing\|POS=PROPN`, `Case=Ins\|Definite=Ind\|Degree=Sup\|Gender=Masc\|Number=Plur\|POS=ADJ`, `Definite=Ind\|Gender=Neut\|POS=VERB\|Polarity=Neg\|Reflex=Yes\|Tense=Past\|VerbForm=Part\|Voice=Pass`, `Aspect=Perf\|Case=Gen\|Definite=Ind\|Gender=Masc\|Number=Plur\|POS=VERB\|Polarity=Pos\|Tense=Past\|VerbForm=Part\|Voice=Act`, `Case=Acc\|Definite=Ind\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Int`, `Case=Ins\|Definite=Ind\|Gender=Fem\|Number=Sing\|POS=VERB\|Polarity=Pos\|Tense=Past\|VerbForm=Part\|Voice=Pass`, `Case=Ins\|Definite=Ind\|Gender=Fem\|Number=Sing\|POS=DET\|PronType=Dem`, `Aspect=Perf\|Mood=Ind\|POS=VERB\|Person=3\|Polarity=Neg\|Tense=Past\|VerbForm=Fin`, `Case=Nom\|Definite=Ind\|Gender=Fem\|Hyph=Yes\|Number=Sing\|POS=PRON\|PronType=Ind`, `Case=Nom\|Definite=Ind\|Gender=Masc\|POS=PRON\|PronType=Ind`, `Case=Dat\|Gender=Masc\|Number=Sing\|POS=NOUN\|Reflex=Yes`, `Case=Nom\|Definite=Ind\|Degree=Cmp\|Gender=Masc\|Number=Plur\|POS=ADJ`, `Definite=Ind\|Gender=Neut\|Hyph=Yes\|POS=DET\|PronType=Tot`, `Case=Loc\|Definite=Ind\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=ADJ`, `Case=Dat\|Definite=Ind\|Gender=Masc\|Number=Sing\|POS=VERB\|Polarity=Neg\|Tense=Past\|VerbForm=Part\|Voice=Pass`, `Case=Loc\|Definite=Ind\|Gender=Masc\|Hyph=Yes\|Number=Plur\|POS=PRON\|PronType=Ind`, `Case=Loc\|Definite=Ind\|Degree=Pos\|Gender=Fem\|Number=Plur\|POS=ADJ`, `Case=Acc\|Definite=Ind\|Gender=Masc\|Number=Sing\|POS=PRON\|PronType=Ind`, `Case=Ins\|Definite=Ind\|Gender=Masc\|Number=Sing\|POS=PRON\|PronType=Ind`, `Gender=Fem\|Number=Sing\|POS=VERB\|Polarity=Pos\|Reflex=Yes\|VerbForm=Conv`, `Case=Gen\|Definite=Ind\|Gender=Fem\|Number=Sing\|POS=DET\|PronType=Dem`, `Mood=Ind\|POS=VERB\|Person=3\|Polarity=Neg\|Reflex=Yes\|Tense=Pres\|VerbForm=Fin`, `Mood=Imp\|Number=Plur\|POS=VERB\|Person=2\|Polarity=Pos\|VerbForm=Fin`, `Case=Ins\|Definite=Ind\|POS=PRON\|PronType=Int`, `Case=Nom\|Definite=Def\|Gender=Fem\|NumForm=Combi\|NumType=Ord\|Number=Sing\|POS=NUM`, `Case=Gen\|NumForm=Word\|NumType=Card\|POS=NUM`, `Gender=Fem\|Number=Sing\|POS=VERB\|Polarity=Pos\|VerbForm=Conv`, `Case=Acc\|Definite=Ind\|Gender=Masc\|NumForm=Word\|NumType=Ord\|Number=Sing\|POS=NUM`, `Case=Gen\|Definite=Def\|Degree=Pos\|Gender=Fem\|Number=Sing\|POS=ADJ`, `Case=Gen\|Definite=Def\|Degree=Sup\|Gender=Fem\|Number=Sing\|POS=ADJ`, `Case=Gen\|Definite=Ind\|Gender=Fem\|Number=Plur\|POS=PRON\|Person=3\|PronType=Prs`, `Foreign=Yes\|POS=X`, `Case=Acc\|Definite=Def\|Gender=Fem\|NumForm=Word\|NumType=Ord\|Number=Sing\|POS=NUM`, `Case=Acc\|Definite=Def\|Gender=Masc\|NumForm=Word\|NumType=Ord\|Number=Sing\|POS=NUM`, `Case=Acc\|Definite=Ind\|Gender=Masc\|Number=Sing\|POS=VERB\|Polarity=Pos\|Tense=Past\|VerbForm=Part\|Voice=Pass`, `Case=Acc\|Definite=Ind\|Gender=Masc\|Hyph=Yes\|Number=Sing\|POS=PRON\|PronType=Ind`, `Case=Acc\|Definite=Ind\|Gender=Fem\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs`, `Case=Loc\|Definite=Ind\|Gender=Masc\|Number=Sing\|POS=VERB\|Polarity=Pos\|Tense=Past\|VerbForm=Part\|Voice=Pass`, `Aspect=Perf\|Case=Acc\|Definite=Ind\|Gender=Fem\|Number=Sing\|POS=VERB\|Polarity=Pos\|Tense=Past\|VerbForm=Part\|Voice=Act`, `POS=PROPN`, `Aspect=Perf\|POS=VERB\|Polarity=Pos\|Tense=Past\|VerbForm=Ger`, `Aspect=Perf\|Case=Nom\|Definite=Ind\|Gender=Masc\|Number=Plur\|POS=VERB\|Polarity=Neg\|Reflex=Yes\|Tense=Past\|VerbForm=Part\|Voice=Act`, `Case=Gen\|Definite=Ind\|Gender=Fem\|Number=Plur\|POS=VERB\|Polarity=Pos\|Tense=Pres\|VerbForm=Part\|Voice=Act`, `Case=Ins\|Definite=Ind\|Gender=Fem\|Number=Sing\|POS=DET\|PronType=Int`, `Case=Acc\|Definite=Ind\|Gender=Masc\|Number=Sing\|POS=VERB\|Polarity=Pos\|Tense=Pres\|VerbForm=Part\|Voice=Act`, `Case=Acc\|Definite=Ind\|Gender=Fem\|Number=Sing\|POS=VERB\|Polarity=Neg\|Tense=Pres\|VerbForm=Part\|Voice=Pass`, `Case=Dat\|Definite=Ind\|Gender=Fem\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs`, `Case=Acc\|Definite=Ind\|Gender=Fem\|Number=Sing\|POS=VERB\|Polarity=Pos\|Tense=Pres\|VerbForm=Part\|Voice=Act`, `Case=Nom\|Definite=Ind\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Tot`, `Mood=Imp\|Number=Plur\|POS=VERB\|Person=1\|Polarity=Pos\|VerbForm=Fin`, `Case=Acc\|Definite=Ind\|Gender=Fem\|Number=Plur\|POS=VERB\|Polarity=Pos\|Tense=Pres\|VerbForm=Part\|Voice=Act`, `Case=Nom\|Definite=Ind\|Gender=Fem\|Number=Plur\|POS=DET\|PronType=Dem`, `Mood=Ind\|Number=Plur\|POS=AUX\|Person=3\|Polarity=Pos\|Tense=Fut\|VerbForm=Fin`, `Mood=Ind\|Number=Plur\|POS=VERB\|Person=1\|Polarity=Neg\|Tense=Fut\|VerbForm=Fin`, `Case=Gen\|Gender=Fem\|NumForm=Word\|NumType=Card\|Number=Sing\|POS=NUM`, `Case=Acc\|Definite=Ind\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Tot`, `Case=Acc\|Definite=Ind\|Gender=Masc\|Number=Sing\|POS=VERB\|Polarity=Pos\|Reflex=Yes\|Tense=Past\|VerbForm=Part\|Voice=Pass`, `Case=Gen\|Definite=Ind\|Gender=Fem\|Number=Sing\|POS=VERB\|Polarity=Pos\|Tense=Pres\|VerbForm=Part\|Voice=Pass`, `Case=Nom\|Definite=Ind\|Gender=Fem\|Number=Sing\|POS=VERB\|Polarity=Pos\|Tense=Pres\|VerbForm=Part\|Voice=Act`, `Case=Dat\|Definite=Ind\|Gender=Masc\|Number=Plur\|POS=VERB\|Polarity=Pos\|Tense=Past\|VerbForm=Part\|Voice=Pass`, `Case=Loc\|Definite=Ind\|Gender=Fem\|Number=Sing\|POS=DET\|PronType=Int`, `Case=Gen\|Definite=Ind\|Gender=Masc\|Number=Sing\|POS=VERB\|Polarity=Pos\|Tense=Past\|VerbForm=Part\|Voice=Pass`, `Aspect=Perf\|POS=VERB\|Polarity=Neg\|Tense=Past\|VerbForm=Ger`, `Case=Nom\|Definite=Ind\|Number=Plur\|POS=PRON\|Person=1\|PronType=Prs`, `Mood=Ind\|Number=Plur\|POS=AUX\|Person=1\|Polarity=Pos\|Tense=Pres\|VerbForm=Fin`, `Mood=Ind\|Number=Plur\|POS=VERB\|Person=1\|Polarity=Pos\|Reflex=Yes\|Tense=Pres\|VerbForm=Fin`, `Mood=Ind\|Number=Plur\|POS=VERB\|Person=1\|Polarity=Pos\|Tense=Pres\|VerbForm=Fin`, `Aspect=Perf\|Mood=Ind\|Number=Plur\|POS=VERB\|Person=1\|Polarity=Pos\|Tense=Past\|VerbForm=Fin`, `Definite=Ind\|Gender=Neut\|POS=VERB\|Polarity=Pos\|Reflex=Yes\|Tense=Pres\|VerbForm=Part\|Voice=Pass`, `Case=Acc\|Definite=Def\|Gender=Fem\|NumForm=Combi\|NumType=Ord\|Number=Sing\|POS=NUM`, `Case=Nom\|Definite=Def\|Gender=Masc\|Number=Plur\|POS=VERB\|Polarity=Pos\|Tense=Past\|VerbForm=Part\|Voice=Pass`, `Gender=Masc\|Number=Sing\|POS=VERB\|Polarity=Pos\|VerbForm=Conv`, `Case=Nom\|Definite=Ind\|Gender=Fem\|Number=Plur\|POS=DET\|PronType=Tot`, `Definite=Ind\|Hyph=Yes\|POS=NUM`, `POS=VERB\|Polarity=Neg\|Reflex=Yes\|Tense=Pres\|VerbForm=Ger`, `Case=Ins\|Definite=Ind\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Dem`, `Case=Nom\|Definite=Ind\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Tot`, `Case=Dat\|Definite=Ind\|Number=Plur\|POS=PRON\|Person=1\|PronType=Prs`, `Mood=Ind\|Number=Plur\|POS=VERB\|Person=1\|Polarity=Pos\|Tense=Fut\|VerbForm=Fin`, `Case=Ins\|Definite=Def\|Gender=Fem\|Number=Plur\|POS=VERB\|Polarity=Pos\|Tense=Pres\|VerbForm=Part\|Voice=Pass`, `Definite=Ind\|Gender=Neut\|POS=PRON\|PronType=Ind`, `Gender=Masc\|Number=Plur\|POS=VERB\|Polarity=Pos\|VerbForm=Conv`, `Case=Acc\|Definite=Ind\|Number=Plur\|POS=PRON\|Person=1\|PronType=Prs`, `Mood=Ind\|Number=Sing\|POS=VERB\|Person=1\|Polarity=Pos\|Tense=Fut\|VerbForm=Fin`, `Mood=Ind\|Number=Plur\|POS=VERB\|Person=1\|Polarity=Neg\|Tense=Pres\|VerbForm=Fin`, `Case=Nom\|Gender=Fem\|NumForm=Word\|NumType=Card\|POS=NUM`, `Mood=Ind\|Number=Sing\|POS=VERB\|Person=2\|Polarity=Pos\|Tense=Pres\|VerbForm=Fin`, `Case=Gen\|Definite=Ind\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Neg`, `Mood=Cnd\|Number=Sing\|POS=VERB\|Person=3\|Polarity=Pos\|Reflex=Yes\|VerbForm=Fin`, `Mood=Cnd\|Number=Plur\|POS=VERB\|Person=3\|Polarity=Pos\|Reflex=Yes\|VerbForm=Fin`, `Case=Gen\|Definite=Ind\|Number=Plur\|POS=PRON\|Person=1\|PronType=Prs`, `Case=Acc\|Definite=Ind\|Degree=Cmp\|Gender=Fem\|Number=Sing\|POS=ADJ`, `Case=Nom\|Definite=Def\|Gender=Masc\|NumForm=Word\|NumType=Ord\|Number=Plur\|POS=NUM`, `Case=Nom\|Definite=Ind\|Number=Sing\|POS=PRON\|Person=1\|PronType=Prs`, `Case=Acc\|Definite=Ind\|Gender=Fem\|Number=Plur\|POS=DET\|PronType=Tot`, `Case=Gen\|Definite=Ind\|Degree=Cmp\|Gender=Fem\|Number=Plur\|POS=ADJ`, `Mood=Ind\|POS=VERB\|Person=3\|Polarity=Neg\|Tense=Fut\|VerbForm=Fin`, `Mood=Ind\|Number=Plur\|POS=VERB\|Person=3\|Polarity=Pos\|Reflex=Yes\|Tense=Fut\|VerbForm=Fin`, `Mood=Cnd\|Number=Plur\|POS=VERB\|Person=1\|Polarity=Pos\|VerbForm=Fin`, `Case=Ins\|Definite=Ind\|Degree=Sup\|Gender=Masc\|Number=Sing\|POS=ADJ`, `Gender=Fem\|Number=Sing\|POS=VERB\|Polarity=Neg\|VerbForm=Conv`, `Case=Acc\|Definite=Ind\|POS=PRON\|PronType=Prs\|Reflex=Yes`, `Case=Loc\|Definite=Ind\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs`, `Mood=Ind\|Number=Sing\|POS=VERB\|Person=3\|Polarity=Pos\|Reflex=Yes\|Tense=Fut\|VerbForm=Fin`, `Case=Dat\|Definite=Ind\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Dem`, `POS=AUX\|Polarity=Pos\|VerbForm=Inf`, `Case=Gen\|Definite=Ind\|Gender=Fem\|Number=Plur\|POS=VERB\|Polarity=Pos\|Tense=Pres\|VerbForm=Part\|Voice=Pass`, `Case=Acc\|Definite=Ind\|Gender=Fem\|Number=Plur\|POS=DET\|PronType=Int`, `Case=Acc\|Definite=Ind\|Gender=Fem\|Number=Plur\|POS=PRON\|Person=3\|PronType=Prs`, `Hyph=Yes\|POS=CCONJ`, `Case=Gen\|Definite=Def\|Gender=Masc\|Number=Plur\|POS=VERB\|Polarity=Pos\|Tense=Pres\|VerbForm=Part\|Voice=Pass`, `Aspect=Perf\|Case=Nom\|Definite=Ind\|Gender=Masc\|Number=Sing\|POS=VERB\|Polarity=Pos\|Tense=Past\|VerbForm=Part\|Voice=Pass`, `Case=Nom\|Definite=Def\|Gender=Fem\|Number=Sing\|POS=VERB\|Polarity=Pos\|Tense=Pres\|VerbForm=Part\|Voice=Pass`, `Case=Nom\|Definite=Ind\|Gender=Fem\|Mood=Nec\|Number=Sing\|POS=VERB\|Polarity=Pos\|VerbForm=Part`, `Case=Nom\|Definite=Ind\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Emp`, `Case=Acc\|Definite=Def\|Gender=Fem\|Number=Sing\|POS=VERB\|Polarity=Pos\|Tense=Pres\|VerbForm=Part\|Voice=Pass`, `Case=Gen\|Definite=Ind\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Tot`, `Case=Gen\|Definite=Def\|Degree=Pos\|Gender=Masc\|Number=Plur\|POS=X`, `Case=Gen\|Definite=Ind\|Gender=Fem\|Number=Sing\|POS=PRON\|PronType=Ind`, `Case=Nom\|Definite=Ind\|Gender=Masc\|Number=Sing\|POS=VERB\|Polarity=Pos\|Tense=Pres\|VerbForm=Part\|Voice=Act`, `Case=Gen\|Definite=Ind\|Gender=Masc\|Number=Sing\|POS=VERB\|Polarity=Pos\|Tense=Pres\|VerbForm=Part\|Voice=Pass`, `Aspect=Perf\|Case=Acc\|Definite=Ind\|Gender=Masc\|Number=Plur\|POS=VERB\|Polarity=Pos\|Tense=Past\|VerbForm=Part\|Voice=Act`, `Case=Loc\|Definite=Ind\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Dem`, `Case=Acc\|Definite=Ind\|Gender=Masc\|Number=Plur\|POS=VERB\|Polarity=Neg\|Tense=Pres\|VerbForm=Part\|Voice=Pass`, `POS=VERB\|Polarity=Neg\|Tense=Pres\|VerbForm=Ger`, `Aspect=Perf\|Case=Ins\|Definite=Ind\|Gender=Masc\|Number=Plur\|POS=VERB\|Polarity=Pos\|Reflex=Yes\|Tense=Past\|VerbForm=Part\|Voice=Act`, `Case=Gen\|Definite=Ind\|Gender=Fem\|Hyph=Yes\|Number=Sing\|POS=DET\|PronType=Int`, `Case=Ins\|Definite=Ind\|Gender=Masc\|Number=Plur\|POS=VERB\|Polarity=Pos\|Tense=Pres\|VerbForm=Part\|Voice=Act`, `Case=Gen\|Definite=Ind\|Gender=Fem\|POS=PRON\|PronType=Ind`, `Case=Dat\|Definite=Def\|Degree=Pos\|Gender=Fem\|Number=Sing\|POS=ADJ`, `Case=Acc\|Definite=Ind\|Gender=Masc\|Number=Plur\|POS=VERB\|Polarity=Pos\|Tense=Pres\|VerbForm=Part\|Voice=Act`, `Definite=Ind\|Gender=Neut\|POS=VERB\|Polarity=Neg\|Reflex=Yes\|Tense=Pres\|VerbForm=Part\|Voice=Pass`, `Aspect=Perf\|Case=Gen\|Definite=Def\|Gender=Masc\|Number=Plur\|POS=VERB\|Polarity=Pos\|Tense=Past\|VerbForm=Part\|Voice=Act`, `Case=Gen\|Definite=Ind\|Degree=Cmp\|Gender=Fem\|Number=Sing\|POS=ADJ`, `Case=Dat\|Definite=Def\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=ADJ`, `Aspect=Perf\|Mood=Ind\|POS=VERB\|Person=3\|Polarity=Neg\|Reflex=Yes\|Tense=Past\|VerbForm=Fin`, `Case=Gen\|Definite=Ind\|POS=PRON\|PronType=Int`, `Case=Ins\|Definite=Ind\|Degree=Pos\|Gender=Fem\|Number=Sing\|POS=ADJ`, `Case=Nom\|Definite=Ind\|Gender=Fem\|Number=Dual\|POS=PRON\|PronType=Ind`, `Case=Loc\|Definite=Ind\|Gender=Fem\|Number=Sing\|POS=DET\|PronType=Tot`, `Case=Acc\|Definite=Def\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=ADJ`, `Case=Gen\|Definite=Ind\|Gender=Fem\|Number=Sing\|POS=DET\|PronType=Neg`, `Case=Dat\|Definite=Ind\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Emp`, `Aspect=Perf\|Case=Gen\|Definite=Def\|Gender=Masc\|Number=Sing\|POS=VERB\|Polarity=Pos\|Tense=Past\|VerbForm=Part\|Voice=Act`, `Case=Nom\|Definite=Ind\|Gender=Fem\|Number=Plur\|POS=VERB\|Polarity=Pos\|Reflex=Yes\|Tense=Past\|VerbForm=Part\|Voice=Pass`, `Case=Loc\|Definite=Ind\|Gender=Masc\|Number=Sing\|POS=PRON\|PronType=Ind`, `Case=Nom\|Definite=Ind\|Gender=Fem\|Number=Plur\|POS=VERB\|Polarity=Pos\|Reflex=Yes\|Tense=Pres\|VerbForm=Part\|Voice=Act`, `Definite=Ind\|Degree=Pos\|POS=ADJ`, `Case=Loc\|Definite=Ind\|Gender=Fem\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs`, `Case=Gen\|Definite=Def\|Degree=Pos\|Gender=Masc\|Number=Plur\|POS=ADJ`, `Case=Nom\|Definite=Ind\|Gender=Masc\|Number=Plur\|POS=VERB\|Polarity=Pos\|Tense=Past\|VerbForm=Part\|Voice=Act`, `Definite=Ind\|Gender=Neut\|Mood=Nec\|POS=VERB\|Polarity=Pos\|VerbForm=Part`, `Case=Gen\|Definite=Def\|Gender=Fem\|Number=Sing\|POS=VERB\|Polarity=Pos\|Tense=Pres\|VerbForm=Part\|Voice=Pass`, `Case=Loc\|Definite=Def\|Degree=Pos\|Gender=Fem\|Number=Sing\|POS=ADJ`, `Case=Ins\|Definite=Ind\|Gender=Masc\|Number=Sing\|POS=VERB\|Polarity=Pos\|Tense=Pres\|VerbForm=Part\|Voice=Act`, `Case=Ins\|Definite=Ind\|Degree=Sup\|Gender=Fem\|Number=Plur\|POS=ADJ`, `Case=Acc\|Definite=Def\|Degree=Pos\|Gender=Fem\|Number=Plur\|POS=ADJ`, `Case=Nom\|Definite=Ind\|Gender=Masc\|Number=Plur\|POS=VERB\|Polarity=Neg\|Tense=Pres\|VerbForm=Part\|Voice=Act`, `Case=Acc\|Definite=Ind\|Gender=Masc\|Number=Plur\|POS=VERB\|Polarity=Neg\|Tense=Pres\|VerbForm=Part\|Voice=Act`, `Case=Gen\|Definite=Def\|Gender=Masc\|Number=Sing\|POS=VERB\|Polarity=Pos\|Tense=Past\|VerbForm=Part\|Voice=Pass`, `Case=Gen\|Definite=Ind\|Gender=Masc\|Number=Sing\|POS=VERB\|Polarity=Pos\|Reflex=Yes\|Tense=Pres\|VerbForm=Part\|Voice=Act`, `Case=Acc\|Definite=Ind\|Gender=Fem\|Hyph=Yes\|Number=Plur\|POS=PRON\|PronType=Ind`, `Case=Nom\|Definite=Def\|Degree=Pos\|Gender=Fem\|Number=Sing\|POS=ADJ`, `Case=Ins\|Definite=Ind\|Gender=Masc\|Hyph=Yes\|Number=Sing\|POS=PRON\|PronType=Ind`, `Case=Acc\|Gender=Fem\|NumForm=Word\|NumType=Card\|POS=NUM`, `Aspect=Perf\|Case=Nom\|Definite=Def\|Gender=Masc\|Number=Plur\|POS=VERB\|Polarity=Pos\|Tense=Past\|VerbForm=Part\|Voice=Act`, `Case=Loc\|Definite=Ind\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Tot`, `Case=Loc\|Definite=Ind\|Gender=Masc\|Number=Plur\|POS=PRON\|PronType=Ind`, `Case=Gen\|Definite=Ind\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Emp`, `Case=Dat\|Definite=Ind\|Degree=Pos\|Gender=Fem\|Number=Plur\|POS=ADJ`, `Aspect=Perf\|Case=Ins\|Definite=Ind\|Gender=Fem\|Number=Sing\|POS=VERB\|Polarity=Pos\|Reflex=Yes\|Tense=Past\|VerbForm=Part\|Voice=Act`, `Case=Nom\|Definite=Ind\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Emp`, `Definite=Def\|Gender=Neut\|POS=DET\|PronType=Dem`, `Case=Dat\|Definite=Ind\|Gender=Fem\|Number=Dual\|POS=PRON\|PronType=Ind`, `Case=Gen\|Definite=Def\|Gender=Masc\|Number=Plur\|POS=VERB\|Polarity=Pos\|Tense=Pres\|VerbForm=Part\|Voice=Act`, `Case=Acc\|Definite=Ind\|Hyph=Yes\|POS=PRON\|PronType=Int`, `Case=Nom\|Definite=Ind\|Gender=Fem\|Number=Sing\|POS=VERB\|Polarity=Neg\|Tense=Pres\|VerbForm=Part\|Voice=Pass`, `Case=Nom\|Definite=Def\|Gender=Masc\|Number=Plur\|POS=VERB\|Polarity=Neg\|Tense=Pres\|VerbForm=Part\|Voice=Act`, `Foreign=Yes\|Hyph=Yes\|POS=X`, `Case=Nom\|Definite=Def\|Degree=Pos\|Gender=Masc\|Number=Plur\|POS=ADJ`, `Case=Dat\|Definite=Ind\|Gender=Fem\|Number=Sing\|POS=DET\|PronType=Dem`, `Case=Nom\|Definite=Ind\|Gender=Masc\|Number=Sing\|POS=VERB\|Polarity=Pos\|Reflex=Yes\|Tense=Pres\|VerbForm=Part\|Voice=Pass`, `Case=Ins\|Definite=Def\|Degree=Pos\|Gender=Fem\|Number=Sing\|POS=ADJ`, `Case=Loc\|Definite=Ind\|Gender=Fem\|Number=Plur\|POS=DET\|PronType=Emp`, `Case=Ins\|Definite=Def\|Gender=Masc\|Number=Plur\|POS=VERB\|Polarity=Neg\|Tense=Pres\|VerbForm=Part\|Voice=Act`, `Definite=Ind\|Degree=Sup\|Gender=Neut\|POS=ADJ`, `Case=Gen\|Definite=Def\|Gender=Fem\|Number=Sing\|POS=VERB\|Polarity=Pos\|Tense=Pres\|VerbForm=Part\|Voice=Act`, `Case=Nom\|Definite=Ind\|Degree=Sup\|Gender=Masc\|Number=Sing\|POS=ADJ`, `Aspect=Perf\|Case=Acc\|Definite=Ind\|Gender=Fem\|Number=Plur\|POS=VERB\|Polarity=Pos\|Tense=Past\|VerbForm=Part\|Voice=Act`, `Case=Nom\|Definite=Ind\|Gender=Fem\|Number=Plur\|POS=PRON\|Person=3\|PronType=Prs`, `POS=ADV`, `Gender=Masc\|Number=Plur\|POS=VERB\|Polarity=Neg\|VerbForm=Conv`, `Mood=Ind\|Number=Sing\|POS=VERB\|Person=3\|Polarity=Neg\|Reflex=Yes\|Tense=Pres\|VerbForm=Fin`, `Case=Acc\|Definite=Ind\|Gender=Masc\|Number=Sing\|POS=VERB\|Polarity=Pos\|Reflex=Yes\|Tense=Pres\|VerbForm=Part\|Voice=Act`, `Case=Gen\|Definite=Ind\|Gender=Masc\|Hyph=Yes\|Number=Plur\|POS=PRON\|PronType=Ind`, `Case=Gen\|Definite=Ind\|Degree=Sup\|Gender=Fem\|Number=Sing\|POS=ADJ`, `Case=Gen\|Definite=Ind\|Gender=Masc\|Number=Plur\|POS=VERB\|Polarity=Pos\|Tense=Past\|VerbForm=Part\|Voice=Pass`, `Case=Gen\|Definite=Ind\|Gender=Fem\|Number=Sing\|POS=VERB\|Polarity=Neg\|Tense=Past\|VerbForm=Part\|Voice=Pass`, `POS=SYM`, `Case=Gen\|Definite=Ind\|Gender=Masc\|Number=Plur\|POS=VERB\|Polarity=Pos\|Tense=Pres\|VerbForm=Part\|Voice=Pass`, `Case=Gen\|Definite=Ind\|Gender=Fem\|Number=Sing\|POS=DET\|PronType=Int`, `Case=Nom\|Definite=Ind\|Gender=Fem\|Number=Plur\|POS=PRON\|PronType=Ind`, `Case=Acc\|Definite=Ind\|Gender=Masc\|NumForm=Word\|NumType=Mult\|POS=NUM`, `Case=Nom\|Gender=Fem\|NumForm=Word\|NumType=Card\|Number=Plur\|POS=NUM`, `Aspect=Perf\|Case=Loc\|Definite=Ind\|Gender=Masc\|Number=Sing\|POS=VERB\|Polarity=Pos\|Tense=Past\|VerbForm=Part\|Voice=Act`, `Case=Gen\|Definite=Ind\|Gender=Masc\|Hyph=Yes\|Number=Sing\|POS=PRON\|PronType=Ind`, `Definite=Ind\|Gender=Neut\|POS=DET\|PronType=Tot`, `Case=Ins\|Definite=Def\|Degree=Pos\|Gender=Masc\|Number=Sing\|POS=ADJ`, `Case=Gen\|Definite=Ind\|Gender=Fem\|Number=Plur\|POS=DET\|PronType=Int`, `Mood=Cnd\|Number=Plur\|POS=VERB\|Person=3\|Polarity=Neg\|VerbForm=Fin`, `Case=Nom\|Definite=Def\|Gender=Masc\|Number=Sing\|POS=VERB\|Polarity=Pos\|Tense=Pres\|VerbForm=Part\|Voice=Pass`, `Case=Gen\|Definite=Ind\|Gender=Fem\|Number=Sing\|POS=VERB\|Polarity=Pos\|Tense=Past\|VerbForm=Part\|Voice=Pass`, `Aspect=Perf\|Case=Nom\|Definite=Ind\|Gender=Masc\|Number=Plur\|POS=VERB\|Polarity=Pos\|Reflex=Yes\|Tense=Past\|VerbForm=Part\|Voice=Act`, `Case=Gen\|Gender=Masc\|Number=Plur\|POS=PROPN`, `Case=Nom\|Definite=Ind\|Gender=Fem\|Number=Sing\|POS=DET\|PronType=Emp`, `Case=Nom\|Definite=Ind\|Degree=Sup\|Gender=Fem\|Number=Sing\|POS=ADJ`, `Case=Loc\|Definite=Ind\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Tot`, `Mood=Cnd\|Number=Plur\|POS=AUX\|Person=3\|Polarity=Pos\|VerbForm=Fin`, `Case=Dat\|Definite=Ind\|Gender=Fem\|Number=Plur\|POS=PRON\|PronType=Ind`, `Case=Dat\|Definite=Def\|Degree=Pos\|Gender=Fem\|Number=Plur\|POS=ADJ`, `Definite=Ind\|NumForm=Combi\|POS=NUM`, `Case=Gen\|Definite=Ind\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Neg`, `Case=Acc\|Definite=Ind\|Gender=Masc\|POS=PRON\|PronType=Ind`, `Case=Dat\|Gender=Fem\|NumForm=Word\|NumType=Card\|POS=NUM`, `Aspect=Perf\|Case=Nom\|Definite=Ind\|Gender=Masc\|Number=Plur\|POS=VERB\|Polarity=Pos\|Tense=Past\|VerbForm=Part\|Voice=Pass`, `Aspect=Perf\|Case=Nom\|Definite=Ind\|Gender=Fem\|Number=Sing\|POS=VERB\|Polarity=Pos\|Reflex=Yes\|Tense=Past\|VerbForm=Part\|Voice=Act`, `Case=Dat\|Definite=Ind\|Gender=Masc\|POS=PRON\|PronType=Ind`, `Case=Nom\|Definite=Ind\|POS=PRON\|PronType=Neg`, `Case=Acc\|Definite=Ind\|Gender=Fem\|Number=Plur\|POS=VERB\|Polarity=Pos\|Tense=Past\|VerbForm=Part\|Voice=Pass`, `Case=Gen\|Definite=Ind\|Gender=Masc\|NumForm=Word\|NumType=Ord\|Number=Sing\|POS=NUM`, `Case=Gen\|Definite=Ind\|Number=Sing\|POS=PRON\|Person=1\|PronType=Prs`, `Mood=Ind\|Number=Sing\|POS=VERB\|Person=3\|Polarity=Neg\|Reflex=Yes\|Tense=Fut\|VerbForm=Fin`, `Case=Gen\|Definite=Ind\|Gender=Masc\|Hyph=Yes\|Number=Plur\|POS=DET\|PronType=Dem`, `Case=Dat\|Definite=Ind\|Gender=Masc\|POS=PRON\|PronType=Int`, `Aspect=Perf\|Case=Gen\|Definite=Ind\|Gender=Fem\|Number=Sing\|POS=VERB\|Polarity=Pos\|Tense=Past\|VerbForm=Part\|Voice=Act`, `Case=Voc\|Gender=Fem\|Number=Sing\|POS=NOUN`, `Case=Loc\|Definite=Ind\|Number=Plur\|POS=PRON\|Person=2\|PronType=Prs`, `Case=Nom\|Definite=Ind\|Number=Sing\|POS=PRON\|Person=2\|PronType=Prs`, `Mood=Ind\|Number=Sing\|POS=VERB\|Person=2\|Polarity=Pos\|Tense=Fut\|VerbForm=Fin`, `Case=Acc\|Definite=Ind\|Number=Plur\|POS=PRON\|Person=2\|PronType=Prs`, `Case=Loc\|Definite=Ind\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Int`, `Case=Dat\|Definite=Ind\|Gender=Masc\|Number=Plur\|POS=VERB\|Polarity=Pos\|Tense=Pres\|VerbForm=Part\|Voice=Pass`, `Aspect=Perf\|Case=Gen\|Definite=Ind\|Gender=Masc\|Number=Sing\|POS=VERB\|Polarity=Pos\|Reflex=Yes\|Tense=Past\|VerbForm=Part\|Voice=Act`, `Case=Gen\|Definite=Ind\|Number=Sing\|POS=PRON\|Person=2\|PronType=Prs`, `Mood=Ind\|Number=Sing\|POS=VERB\|Person=2\|Polarity=Neg\|Tense=Pres\|VerbForm=Fin`, `Case=Loc\|Definite=Ind\|Number=Sing\|POS=PRON\|Person=2\|PronType=Prs`, `Mood=Cnd\|Number=Sing\|POS=VERB\|Person=2\|Polarity=Neg\|VerbForm=Fin`, `Case=Dat\|Definite=Ind\|Number=Sing\|POS=PRON\|Person=2\|PronType=Prs`, `Gender=Masc\|Number=Sing\|POS=VERB\|Polarity=Pos\|Reflex=Yes\|VerbForm=Conv`, `Case=Gen\|Definite=Ind\|Number=Plur\|POS=PRON\|Person=2\|PronType=Prs`, `Case=Ins\|Gender=Fem\|NumForm=Word\|NumType=Card\|POS=NUM`, `Case=Acc\|Definite=Ind\|Number=Sing\|POS=PRON\|Person=1\|PronType=Prs`, `Aspect=Perf\|Case=Gen\|Definite=Ind\|Gender=Masc\|Number=Sing\|POS=VERB\|Polarity=Pos\|Tense=Past\|VerbForm=Part\|Voice=Act`, `Case=Nom\|Definite=Ind\|Degree=Cmp\|Gender=Fem\|Number=Sing\|POS=ADJ`, `Case=Nom\|Definite=Ind\|Gender=Fem\|Number=Plur\|POS=VERB\|Polarity=Neg\|Tense=Pres\|VerbForm=Part\|Voice=Pass`, `Case=Acc\|Definite=Ind\|Number=Sing\|POS=PRON\|Person=2\|PronType=Prs`, `Mood=Cnd\|POS=VERB\|Person=3\|Polarity=Pos\|Reflex=Yes\|VerbForm=Fin`, `Case=Acc\|Definite=Ind\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Tot`, `Case=Ins\|Definite=Ind\|Number=Sing\|POS=PRON\|Person=2\|PronType=Prs`, `Case=Dat\|Definite=Ind\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs`, `Case=Ins\|Definite=Ind\|Degree=Pos\|Gender=Masc\|Number=Plur\|POS=ADJ`, `Aspect=Hab\|Mood=Ind\|Number=Sing\|POS=VERB\|Person=2\|Polarity=Pos\|Tense=Past\|VerbForm=Fin`, `Aspect=Perf\|Mood=Ind\|Number=Sing\|POS=VERB\|Person=2\|Polarity=Neg\|Tense=Past\|VerbForm=Fin`, `Case=Dat\|Definite=Ind\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Int`, `Mood=Ind\|Number=Sing\|POS=AUX\|Person=2\|Polarity=Pos\|Tense=Pres\|VerbForm=Fin`, `Aspect=Perf\|Case=Acc\|Definite=Ind\|Gender=Fem\|Number=Plur\|POS=VERB\|Polarity=Pos\|Reflex=Yes\|Tense=Past\|VerbForm=Part\|Voice=Act`, `Gender=Masc\|Number=Plur\|POS=VERB\|Polarity=Pos\|Reflex=Yes\|VerbForm=Conv`, `Case=Voc\|Gender=Masc\|Number=Sing\|POS=NOUN`, `Case=Acc\|Definite=Ind\|Gender=Fem\|Number=Plur\|POS=VERB\|Polarity=Pos\|Tense=Pres\|VerbForm=Part\|Voice=Pass`, `Mood=Ind\|Number=Sing\|POS=AUX\|Person=1\|Polarity=Pos\|Tense=Pres\|VerbForm=Fin`, `Case=Ins\|Definite=Ind\|Gender=Fem\|Number=Plur\|POS=PRON\|Person=3\|PronType=Prs`, `Case=Ins\|Definite=Ind\|Gender=Masc\|Number=Plur\|POS=VERB\|Polarity=Neg\|Tense=Pres\|VerbForm=Part\|Voice=Act`, `Mood=Cnd\|Number=Sing\|POS=VERB\|Person=1\|Polarity=Neg\|VerbForm=Fin`, `Aspect=Hab\|Mood=Ind\|Number=Plur\|POS=VERB\|Person=3\|Polarity=Pos\|Tense=Past\|VerbForm=Fin`, `Aspect=Perf\|Case=Nom\|Definite=Ind\|Gender=Fem\|Number=Plur\|POS=VERB\|Polarity=Pos\|Tense=Past\|VerbForm=Part\|Voice=Act`, `Aspect=Perf\|Mood=Ind\|Number=Sing\|POS=VERB\|Person=1\|Polarity=Pos\|Reflex=Yes\|Tense=Past\|VerbForm=Fin`, `Case=Nom\|Definite=Ind\|Degree=Cmp\|Gender=Masc\|Number=Sing\|POS=ADJ`, `Case=Dat\|Definite=Ind\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Tot`, `Case=Ins\|Definite=Ind\|Gender=Fem\|Number=Sing\|POS=DET\|PronType=Tot`, `Aspect=Perf\|Case=Ins\|Definite=Ind\|Gender=Fem\|Number=Sing\|POS=VERB\|Polarity=Pos\|Tense=Past\|VerbForm=Part\|Voice=Act`, `Case=Acc\|Definite=Ind\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Int`, `Mood=Ind\|Number=Sing\|POS=VERB\|Person=1\|Polarity=Neg\|Tense=Pres\|VerbForm=Fin`, `Case=Nom\|Definite=Ind\|Gender=Masc\|Hyph=Yes\|Number=Plur\|POS=DET\|PronType=Dem`, `Case=Nom\|Definite=Ind\|Gender=Masc\|Number=Plur\|POS=VERB\|Polarity=Pos\|Reflex=Yes\|Tense=Pres\|VerbForm=Part\|Voice=Act`, `Case=Gen\|Definite=Ind\|Degree=Sup\|Gender=Fem\|Number=Plur\|POS=ADJ`, `Aspect=Perf\|Case=Nom\|Definite=Ind\|Gender=Fem\|Number=Plur\|POS=VERB\|Polarity=Pos\|Reflex=Yes\|Tense=Past\|VerbForm=Part\|Voice=Act`, `Case=Ill\|Gender=Masc\|Number=Sing\|POS=NOUN`, `Case=Nom\|Gender=Com\|Number=Sing\|POS=NOUN`, `Case=Loc\|Definite=Ind\|Number=Sing\|POS=PRON\|Person=1\|PronType=Prs`, `Case=Nom\|Definite=Ind\|Gender=Fem\|Number=Plur\|POS=VERB\|Polarity=Pos\|Tense=Pres\|VerbForm=Part\|Voice=Act`, `Aspect=Perf\|Mood=Ind\|Number=Sing\|POS=VERB\|Person=1\|Polarity=Neg\|Tense=Past\|VerbForm=Fin`, `Case=Loc\|Definite=Ind\|Gender=Fem\|Number=Sing\|POS=PRON\|PronType=Ind`, `Case=Loc\|Definite=Ind\|Gender=Fem\|Number=Sing\|POS=DET\|PronType=Dem`, `Case=Nom\|Definite=Ind\|Degree=Sup\|Gender=Masc\|Number=Plur\|POS=ADJ`, `Case=Ins\|Definite=Def\|Gender=Masc\|NumForm=Word\|NumType=Ord\|Number=Plur\|POS=NUM`, `Case=Nom\|Definite=Ind\|Gender=Fem\|Number=Plur\|POS=VERB\|Polarity=Pos\|Reflex=Yes\|Tense=Pres\|VerbForm=Part\|Voice=Pass`, `Case=Loc\|Definite=Ind\|Gender=Fem\|Number=Plur\|POS=DET\|PronType=Int`, `Case=Ins\|Definite=Def\|Degree=Pos\|Gender=Masc\|Number=Plur\|POS=ADJ`, `Aspect=Perf\|Case=Ins\|Definite=Ind\|Gender=Masc\|Number=Plur\|POS=VERB\|Polarity=Pos\|Tense=Past\|VerbForm=Part\|Voice=Act`, `Case=Loc\|Definite=Ind\|Gender=Fem\|NumType=Ord\|Number=Sing\|POS=NUM`, `Case=Gen\|Definite=Def\|Gender=Masc\|Number=Sing\|POS=VERB\|Polarity=Pos\|Tense=Pres\|VerbForm=Part\|Voice=Pass`, `Case=Nom\|Definite=Ind\|Gender=Fem\|Number=Sing\|POS=DET\|PronType=Tot`, `Case=Loc\|Definite=Ind\|Gender=Masc\|NumForm=Word\|NumType=Ord\|Number=Sing\|POS=NUM`, `Case=Loc\|Definite=Ind\|Gender=Masc\|Number=Sing\|POS=VERB\|Polarity=Pos\|Tense=Pres\|VerbForm=Part\|Voice=Act`, `Case=Loc\|Definite=Ind\|Gender=Fem\|NumForm=Word\|NumType=Ord\|Number=Sing\|POS=NUM`, `Definite=Ind\|POS=NUM`, `Case=Dat\|Definite=Ind\|Gender=Fem\|Number=Sing\|POS=VERB\|Polarity=Pos\|Tense=Past\|VerbForm=Part\|Voice=Pass`, `Case=Ins\|Definite=Ind\|Degree=Cmp\|Gender=Masc\|Number=Sing\|POS=ADJ`, `Case=Nom\|Definite=Ind\|Gender=Fem\|Number=Sing\|POS=VERB\|Polarity=Pos\|Reflex=Yes\|Tense=Past\|VerbForm=Part\|Voice=Pass`, `Case=Acc\|Definite=Ind\|Degree=Sup\|Gender=Masc\|Number=Plur\|POS=ADJ`, `Case=Dat\|Definite=Ind\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Emp`, `Case=Gen\|Definite=Def\|Gender=Fem\|NumForm=Word\|NumType=Ord\|Number=Sing\|POS=NUM`, `Case=Dat\|Definite=Ind\|Gender=Masc\|Number=Plur\|POS=VERB\|Polarity=Pos\|Tense=Pres\|VerbForm=Part\|Voice=Act`, `Hyph=Yes\|NumForm=Word\|NumType=Card\|POS=NUM`, `Case=Acc\|Definite=Ind\|Gender=Masc\|Hyph=Yes\|NumForm=Word\|NumType=Ord\|Number=Sing\|POS=NUM`, `Case=Nom\|Definite=Ind\|Gender=Masc\|NumForm=Word\|NumType=Ord\|Number=Sing\|POS=NUM`, `POS=VERB\|Polarity=Neg\|VerbForm=Inf`, `Aspect=Perf\|Case=Nom\|Definite=Def\|Gender=Masc\|Number=Sing\|POS=VERB\|Polarity=Pos\|Tense=Past\|VerbForm=Part\|Voice=Act`, `Case=Nom\|Definite=Def\|Gender=Masc\|Number=Sing\|POS=VERB\|Polarity=Pos\|Tense=Past\|VerbForm=Part\|Voice=Pass`, `Aspect=Perf\|POS=VERB\|Polarity=Neg\|Reflex=Yes\|Tense=Past\|VerbForm=Ger`, `Case=Nom\|Definite=Ind\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Neg`, `Mood=Imp\|Number=Plur\|POS=VERB\|Person=2\|Polarity=Pos\|Reflex=Yes\|VerbForm=Fin`, `Case=Gen\|Definite=Ind\|POS=PRON\|PronType=Ind`, `Aspect=Perf\|Mood=Ind\|Number=Plur\|POS=VERB\|Person=2\|Polarity=Pos\|Tense=Past\|VerbForm=Fin`, `Case=Dat\|Definite=Ind\|Number=Plur\|POS=PRON\|Person=2\|PronType=Prs`, `Mood=Ind\|Number=Plur\|POS=VERB\|Person=2\|Polarity=Pos\|Tense=Pres\|VerbForm=Fin`, `Mood=Ind\|Number=Plur\|POS=VERB\|Person=2\|Polarity=Neg\|Tense=Pres\|VerbForm=Fin`, `Mood=Imp\|Number=Plur\|POS=VERB\|Person=2\|Polarity=Neg\|Reflex=Yes\|VerbForm=Fin`, `Case=Ins\|Definite=Ind\|Number=Plur\|POS=PRON\|Person=2\|PronType=Prs`, `Case=Acc\|Definite=Ind\|Gender=Masc\|Number=Plur\|POS=PRON\|Person=2\|PronType=Prs`, `Mood=Imp\|Number=Plur\|POS=VERB\|Person=2\|Polarity=Neg\|VerbForm=Fin`, `Case=Nom\|Definite=Ind\|Number=Plur\|POS=PRON\|Person=2\|PronType=Prs`, `Mood=Ind\|Number=Plur\|POS=AUX\|Person=2\|Polarity=Pos\|Tense=Pres\|VerbForm=Fin`, `Mood=Ind\|Number=Plur\|POS=VERB\|Person=2\|Polarity=Pos\|Tense=Fut\|VerbForm=Fin`, `Case=Acc\|Definite=Ind\|Gender=Fem\|Hyph=Yes\|Number=Sing\|POS=DET\|PronType=Dem`, `Mood=Ind\|Number=Plur\|POS=VERB\|Person=2\|Polarity=Pos\|Reflex=Yes\|Tense=Fut\|VerbForm=Fin`, `Case=Gen\|Definite=Ind\|Gender=Fem\|Number=Sing\|POS=DET\|PronType=Tot`, `Case=Dat\|Definite=Ind\|Gender=Masc\|Hyph=Yes\|Number=Sing\|POS=PRON\|PronType=Ind`, `Case=Acc\|Gender=Masc\|Number=Sing\|POS=NOUN\|Reflex=Yes`, `Aspect=Perf\|Case=Ins\|Definite=Def\|Gender=Masc\|Number=Sing\|POS=VERB\|Polarity=Pos\|Tense=Past\|VerbForm=Part\|Voice=Act`, `Case=Dat\|Definite=Ind\|Gender=Masc\|Number=Sing\|POS=PRON\|PronType=Ind`, `Case=Ins\|Definite=Ind\|Gender=Fem\|Number=Sing\|POS=PRON\|PronType=Ind`, `Case=Ins\|Definite=Ind\|Gender=Masc\|Number=Plur\|POS=VERB\|Polarity=Pos\|Tense=Pres\|VerbForm=Part\|Voice=Pass`, `Mood=Cnd\|POS=VERB\|Person=3\|Polarity=Neg\|Reflex=Yes\|VerbForm=Fin`, `POS=VERB\|Polarity=Pos\|Reflex=Yes\|Tense=Pres`, `Definite=Ind\|Gender=Masc\|POS=PRON\|PronType=Ind`, `Case=Acc\|Definite=Ind\|Degree=Cmp\|Gender=Masc\|Number=Sing\|POS=ADJ`, `Case=Loc\|Definite=Ind\|Degree=Cmp\|Gender=Masc\|Number=Sing\|POS=ADJ`, `Case=Gen\|Definite=Ind\|Gender=Masc\|NumForm=Word\|NumType=Ord\|Number=Plur\|POS=NUM`, `Case=Loc\|Definite=Ind\|Degree=Sup\|Gender=Masc\|Number=Plur\|POS=ADJ`, `Case=Loc\|Definite=Def\|Degree=Pos\|Gender=Masc\|Number=Plur\|POS=ADJ`, `Case=Loc\|Definite=Ind\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Dem`, `Mood=Cnd\|POS=VERB\|Person=3\|Polarity=Neg\|VerbForm=Fin`, `Case=Gen\|Definite=Ind\|Gender=Fem\|Hyph=Yes\|Number=Plur\|POS=PRON\|PronType=Ind`, `Case=Gen\|Definite=Ind\|Gender=Fem\|Hyph=Yes\|Number=Sing\|POS=PRON\|PronType=Ind`, `Mood=Cnd\|Number=Sing\|POS=VERB\|Person=1\|Polarity=Pos\|VerbForm=Fin`, `Aspect=Perf\|Case=Ins\|Definite=Ind\|Gender=Fem\|Number=Plur\|POS=VERB\|Polarity=Pos\|Reflex=Yes\|Tense=Past\|VerbForm=Part\|Voice=Act`, `Case=Ins\|Definite=Ind\|Gender=Masc\|Number=Sing\|POS=VERB\|Polarity=Pos\|Tense=Past\|VerbForm=Part\|Voice=Pass`, `Case=Dat\|Definite=Def\|Gender=Masc\|Number=Sing\|POS=VERB\|Polarity=Pos\|Tense=Pres\|VerbForm=Part\|Voice=Pass`, `Case=Dat\|Definite=Def\|Gender=Masc\|Number=Plur\|POS=VERB\|Polarity=Pos\|Tense=Pres\|VerbForm=Part\|Voice=Pass`, `Gender=Fem\|Number=Plur\|POS=VERB\|Polarity=Pos\|VerbForm=Conv`, `Case=Loc\|Definite=Ind\|Gender=Fem\|Number=Plur\|POS=PRON\|Person=3\|PronType=Prs`, `Case=Gen\|Definite=Ind\|Degree=Sup\|Gender=Masc\|Number=Plur\|POS=ADJ`, `Case=Dat\|Definite=Ind\|Gender=Masc\|Number=Plur\|POS=VERB\|Polarity=Pos\|Reflex=Yes\|Tense=Pres\|VerbForm=Part\|Voice=Act`, `Case=Gen\|Definite=Ind\|Gender=Fem\|Number=Plur\|POS=VERB\|Polarity=Pos\|Tense=Past\|VerbForm=Part\|Voice=Pass`, `Case=Gen\|Definite=Def\|Gender=Fem\|Number=Plur\|POS=VERB\|Polarity=Pos\|Tense=Pres\|VerbForm=Part\|Voice=Pass`, `Mood=Cnd\|Number=Plur\|POS=VERB\|Person=1\|Polarity=Neg\|VerbForm=Fin`, `Case=Acc\|Definite=Ind\|Degree=Sup\|Gender=Fem\|Number=Plur\|POS=ADJ`, `Case=Loc\|Definite=Def\|Gender=Fem\|NumForm=Word\|NumType=Ord\|Number=Sing\|POS=NUM`, `Case=Nom\|Definite=Def\|Gender=Masc\|NumForm=Word\|NumType=Ord\|Number=Sing\|POS=NUM`, `Case=Nom\|Definite=Ind\|Gender=Fem\|Number=Plur\|POS=DET\|PronType=Emp`, `POS=VERB\|Polarity=Neg\|Reflex=Yes\|VerbForm=Inf`, `Case=Dat\|Definite=Def\|Gender=Masc\|Number=Sing\|POS=VERB\|Polarity=Pos\|Tense=Pres\|VerbForm=Part\|Voice=Act`, `Case=Gen\|Definite=Ind\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Emp`, `Case=Dat\|Definite=Ind\|Gender=Fem\|Number=Plur\|POS=VERB\|Polarity=Pos\|Tense=Pres\|VerbForm=Part\|Voice=Pass`, `Case=Gen\|Definite=Def\|Gender=Masc\|Number=Plur\|POS=VERB\|Polarity=Pos\|Tense=Past\|VerbForm=Part\|Voice=Pass`, `Case=Nom\|Definite=Ind\|Gender=Fem\|Number=Sing\|POS=VERB\|Polarity=Pos\|Reflex=Yes\|Tense=Pres\|VerbForm=Part\|Voice=Pass`, `Case=Nom\|Definite=Ind\|Gender=Masc\|Number=Sing\|POS=VERB\|Polarity=Pos\|Tense=Fut\|VerbForm=Part\|Voice=Act`, `Case=Acc\|Gender=Masc\|Number=Sing\|POS=PROPN`, `Case=Nom\|Definite=Def\|Gender=Masc\|Number=Plur\|POS=VERB\|Polarity=Pos\|Tense=Pres\|VerbForm=Part\|Voice=Pass`, `Case=Acc\|Definite=Ind\|Gender=Fem\|Number=Plur\|POS=DET\|PronType=Emp`, `Case=Ins\|Definite=Def\|Gender=Masc\|Number=Sing\|POS=VERB\|Polarity=Pos\|Tense=Pres\|VerbForm=Part\|Voice=Pass`, `Case=Gen\|Definite=Def\|Gender=Fem\|Number=Plur\|POS=VERB\|Polarity=Pos\|Tense=Past\|VerbForm=Part\|Voice=Pass`, `Aspect=Perf\|Definite=Ind\|Gender=Neut\|POS=AUX\|Polarity=Pos\|Tense=Past\|VerbForm=Part\|Voice=Act`, `Case=Dat\|Definite=Ind\|Gender=Masc\|Number=Sing\|POS=VERB\|Polarity=Pos\|Reflex=Yes\|Tense=Pres\|VerbForm=Part\|Voice=Act`, `Case=Acc\|Definite=Def\|Gender=Masc\|Number=Plur\|POS=VERB\|Polarity=Pos\|Tense=Past\|VerbForm=Part\|Voice=Pass`, `Mood=Cnd\|Number=Sing\|POS=VERB\|Person=1\|Polarity=Neg\|Reflex=Yes\|VerbForm=Fin`, `Case=Dat\|Definite=Ind\|POS=PRON\|PronType=Prs\|Reflex=Yes`, `Mood=Cnd\|Number=Sing\|POS=VERB\|Person=1\|Polarity=Pos\|Reflex=Yes\|VerbForm=Fin`, `Case=Acc\|Definite=Ind\|Gender=Masc\|Number=Plur\|POS=VERB\|Polarity=Pos\|Reflex=Yes\|Tense=Pres\|VerbForm=Part\|Voice=Act`, `Gender=Fem\|POS=NOUN`, `Mood=Ind\|Number=Sing\|POS=VERB\|Person=2\|Polarity=Neg\|Tense=Fut\|VerbForm=Fin`, `Case=Acc\|Definite=Ind\|Gender=Masc\|Hyph=Yes\|Number=Plur\|POS=DET\|PronType=Dem`, `Case=Nom\|Definite=Ind\|Gender=Fem\|Hyph=Yes\|Number=Sing\|POS=DET\|PronType=Dem`, `Case=Gen\|Definite=Ind\|Gender=Masc\|Number=Plur\|POS=VERB\|Polarity=Neg\|Tense=Pres\|VerbForm=Part\|Voice=Pass`, `Case=Nom\|Gender=Masc\|NumForm=Word\|NumType=Card\|Number=Sing\|POS=NUM`, `Case=Ill\|Gender=Fem\|Number=Sing\|POS=NOUN`, `Aspect=Perf\|Mood=Ind\|Number=Sing\|POS=VERB\|Person=2\|Polarity=Pos\|Tense=Past\|VerbForm=Fin`, `Mood=Cnd\|Number=Sing\|POS=VERB\|Person=2\|Polarity=Pos\|VerbForm=Fin`, `Mood=Cnd\|Number=Sing\|POS=AUX\|Person=2\|Polarity=Pos\|VerbForm=Fin`, `Case=Ins\|Definite=Ind\|Gender=Fem\|Hyph=Yes\|Number=Sing\|POS=DET\|PronType=Dem`, `Case=Ins\|Definite=Ind\|Gender=Fem\|Number=Plur\|POS=VERB\|Polarity=Pos\|Tense=Pres\|VerbForm=Part\|Voice=Pass`, `Abbr=Yes\|Hyph=Yes\|POS=X`, `Mood=Cnd\|Number=Sing\|POS=AUX\|Person=1\|Polarity=Pos\|VerbForm=Fin`, `Aspect=Hab\|Mood=Ind\|Number=Sing\|POS=VERB\|Person=1\|Polarity=Pos\|Tense=Past\|VerbForm=Fin`, `Case=Ins\|Definite=Ind\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Neg`, `Case=Nom\|Definite=Ind\|Gender=Masc\|Hyph=Yes\|Number=Sing\|POS=DET\|PronType=Int`, `Case=Nom\|Gender=Masc\|Number=Sing\|POS=NOUN\|Reflex=Yes`, `Mood=Ind\|Number=Sing\|POS=VERB\|Person=1\|Polarity=Neg\|Reflex=Yes\|Tense=Pres\|VerbForm=Fin`, `POS=PUNCT\|PunctType=Peri`, `Case=Dat\|Definite=Ind\|Gender=Fem\|Number=Sing\|POS=DET\|PronType=Tot`, `Case=Ins\|Definite=Ind\|Gender=Masc\|Number=Sing\|POS=VERB\|Polarity=Pos\|Tense=Pres\|VerbForm=Part\|Voice=Pass`, `Case=Acc\|Definite=Def\|Gender=Masc\|Number=Sing\|POS=VERB\|Polarity=Pos\|Tense=Pres\|VerbForm=Part\|Voice=Pass`, `Case=Loc\|Definite=Ind\|Degree=Cmp\|Gender=Masc\|Number=Plur\|POS=ADJ`, `Case=Loc\|Definite=Def\|Gender=Masc\|NumForm=Combi\|NumType=Ord\|Number=Sing\|POS=NUM`, `Case=Dat\|Definite=Def\|Gender=Fem\|NumForm=Word\|NumType=Ord\|Number=Sing\|POS=NUM`, `Case=Dat\|Definite=Ind\|Degree=Cmp\|Gender=Masc\|Number=Sing\|POS=ADJ`, `Aspect=Perf\|Case=Gen\|Definite=Ind\|Gender=Fem\|Number=Plur\|POS=VERB\|Polarity=Pos\|Tense=Past\|VerbForm=Part\|Voice=Act`, `Case=Loc\|Definite=Ind\|Gender=Masc\|Number=Plur\|POS=PRON\|Person=3\|PronType=Prs`, `Case=Acc\|Definite=Def\|Degree=Pos\|Gender=Masc\|Number=Plur\|POS=ADJ`, `Case=Dat\|Definite=Ind\|Gender=Masc\|Hyph=Yes\|Number=Plur\|POS=DET\|PronType=Dem`, `Case=Gen\|Definite=Ind\|Gender=Masc\|Number=Sing\|POS=VERB\|Polarity=Neg\|Tense=Pres\|VerbForm=Part\|Voice=Act`, `Case=Acc\|Definite=Ind\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Neg`, `Case=Loc\|Definite=Ind\|Gender=Fem\|Number=Sing\|POS=VERB\|Polarity=Pos\|Tense=Pres\|VerbForm=Part\|Voice=Act`, `Case=Ins\|Definite=Ind\|Gender=Masc\|Number=Sing\|POS=DET\|PronType=Emp`, `Case=Ins\|Definite=Ind\|Gender=Fem\|Number=Sing\|POS=VERB\|Polarity=Neg\|Tense=Pres\|VerbForm=Part\|Voice=Pass`, `Case=Nom\|Gender=Masc\|Number=Plur\|POS=NOUN\|Reflex=Yes`, `Gender=Fem\|POS=PROPN`, `Case=Ins\|Gender=Masc\|Number=Sing\|POS=NOUN\|Reflex=Yes`, `Case=Gen\|Definite=Ind\|Degree=Cmp\|Gender=Masc\|Number=Plur\|POS=ADJ`, `Case=Gen\|Definite=Def\|Gender=Masc\|NumForm=Word\|NumType=Ord\|Number=Plur\|POS=NUM`, `Case=Ins\|Definite=Ind\|Degree=Sup\|Gender=Fem\|Number=Sing\|POS=ADJ`, `Case=Loc\|Definite=Ind\|Degree=Sup\|Gender=Fem\|Number=Sing\|POS=ADJ`, `Case=Acc\|Definite=Def\|Degree=Pos\|Gender=Fem\|Number=Sing\|POS=ADJ`, `Case=Nom\|Definite=Ind\|Gender=Fem\|Number=Sing\|POS=PRON\|PronType=Ind`, `Case=Nom\|Definite=Def\|Degree=Pos\|Gender=Fem\|Number=Plur\|POS=ADJ`, `Case=Ins\|Definite=Ind\|Gender=Fem\|Number=Plur\|POS=VERB\|Polarity=Pos\|Reflex=Yes\|Tense=Pres\|VerbForm=Part\|Voice=Act`, `Case=Loc\|Definite=Ind\|Gender=Fem\|Number=Plur\|POS=VERB\|Polarity=Pos\|Tense=Pres\|VerbForm=Part\|Voice=Pass`, `Case=Gen\|Definite=Ind\|Gender=Fem\|Number=Plur\|POS=VERB\|Polarity=Neg\|Tense=Past\|VerbForm=Part\|Voice=Pass`, `Case=Gen\|Definite=Ind\|Degree=Sup\|Gender=Masc\|Number=Sing\|POS=ADJ`, `Case=Nom\|Definite=Ind\|Gender=Masc\|Number=Sing\|POS=VERB\|Polarity=Pos\|Reflex=Yes\|Tense=Pres\|VerbForm=Part\|Voice=Act`, `Aspect=Perf\|Case=Gen\|Definite=Ind\|Gender=Fem\|Number=Plur\|POS=VERB\|Polarity=Pos\|Reflex=Yes\|Tense=Past\|VerbForm=Part\|Voice=Act`, `Mood=Ind\|Number=Sing\|POS=AUX\|Person=3\|Polarity=Pos\|Tense=Fut\|VerbForm=Fin`, `Case=Nom\|Definite=Ind\|Gender=Fem\|Number=Sing\|POS=VERB\|Polarity=Neg\|Tense=Pres\|VerbForm=Part\|Voice=Act`, `Case=Gen\|Gender=Masc\|Number=Plur\|POS=NOUN\|Reflex=Yes`, `Case=Ins\|Definite=Def\|Degree=Pos\|Gender=Fem\|Number=Plur\|POS=ADJ`, `Case=Gen\|Definite=Ind\|Gender=Fem\|Number=Plur\|POS=DET\|PronType=Neg`, `Case=Dat\|Definite=Ind\|Gender=Fem\|Number=Plur\|POS=PRON\|Person=3\|PronType=Prs`, `Case=Acc\|Gender=Masc\|NumForm=Word\|NumType=Card\|POS=NUM`, `Case=Acc\|Definite=Ind\|Gender=Fem\|Number=Plur\|POS=VERB\|Polarity=Pos\|Reflex=Yes\|Tense=Past\|VerbForm=Part\|Voice=Pass`, `Case=Acc\|Definite=Ind\|Gender=Fem\|Number=Sing\|POS=DET\|PronType=Tot`, `Case=Nom\|Definite=Ind\|Gender=Masc\|Number=Plur\|POS=VERB\|Polarity=Pos\|Reflex=Yes\|Tense=Past\|VerbForm=Part\|Voice=Pass`, `Mood=Ind\|Number=Plur\|POS=VERB\|Person=3\|Polarity=Neg\|Reflex=Yes\|Tense=Pres\|VerbForm=Fin`, `Case=Ins\|Definite=Ind\|Degree=Cmp\|Gender=Masc\|Number=Plur\|POS=ADJ`, `POS=NOUN`, `Gender=Masc\|Number=Sing\|POS=NOUN`, `Gender=Masc\|Number=Plur\|POS=NOUN`, `Case=Loc\|Definite=Ind\|Gender=Masc\|NumForm=Word\|NumType=Ord\|Number=Plur\|POS=NUM`, `Case=Loc\|Gender=Masc\|NumForm=Word\|NumType=Card\|POS=NUM`, `Case=Dat\|Gender=Masc\|NumForm=Word\|NumType=Card\|POS=NUM`, `Case=Gen\|Definite=Ind\|Gender=Masc\|Number=Sing\|POS=VERB\|Polarity=Pos\|Reflex=Yes\|Tense=Past\|VerbForm=Part\|Voice=Pass`, `Aspect=Perf\|Case=Acc\|Definite=Ind\|Gender=Masc\|Number=Sing\|POS=VERB\|Polarity=Pos\|Tense=Past\|VerbForm=Part\|Voice=Act`, `Case=Ins\|Definite=Ind\|Gender=Fem\|Hyph=Yes\|Number=Plur\|POS=PRON\|PronType=Ind`, `Case=Dat\|Definite=Ind\|Gender=Fem\|Number=Plur\|POS=DET\|PronType=Int`, `Case=Gen\|Definite=Def\|Gender=Fem\|Number=Sing\|POS=VERB\|Polarity=Pos\|Reflex=Yes\|Tense=Pres\|VerbForm=Part\|Voice=Act`, `Aspect=Perf\|Case=Acc\|Definite=Ind\|Gender=Masc\|Number=Sing\|POS=VERB\|Polarity=Neg\|Tense=Past\|VerbForm=Part\|Voice=Act`, `Case=Gen\|Definite=Ind\|Gender=Masc\|Number=Plur\|POS=VERB\|Polarity=Pos\|Reflex=Yes\|Tense=Pres\|VerbForm=Part\|Voice=Act`, `Case=Gen\|Definite=Ind\|Gender=Fem\|Number=Sing\|POS=VERB\|Polarity=Pos\|Reflex=Yes\|Tense=Pres\|VerbForm=Part\|Voice=Act`, `Case=Ins\|Definite=Ind\|Gender=Fem\|Number=Plur\|POS=PRON\|PronType=Ind`, `Mood=Imp\|Number=Plur\|POS=VERB\|Person=1\|Polarity=Pos\|Reflex=Yes\|VerbForm=Fin`, `Definite=Ind\|Gender=Neut\|Mood=Nec\|POS=VERB\|Polarity=Neg\|VerbForm=Part`, `Case=Dat\|Definite=Ind\|Number=Sing\|POS=PRON\|PronType=Prs\|Reflex=Yes`, `Case=Ins\|Definite=Ind\|Gender=Masc\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs`, `Case=Acc\|Definite=Ind\|Gender=Masc\|Hyph=Yes\|Number=Plur\|POS=PRON\|PronType=Ind`, `Case=Ins\|Definite=Ind\|Gender=Masc\|Number=Plur\|POS=PRON\|Person=3\|PronType=Prs`, `Case=Loc\|Definite=Ind\|Gender=Fem\|Hyph=Yes\|Number=Sing\|POS=PRON\|PronType=Ind`, `Mood=Ind\|Number=Sing\|POS=VERB\|Person=2\|Polarity=Pos\|Reflex=Yes\|Tense=Pres\|VerbForm=Fin`, `Case=Ins\|Gender=Fem\|NumForm=Word\|NumType=Card\|Number=Sing\|POS=NUM`, `Mood=Ind\|Number=Sing\|POS=AUX\|Person=2\|Polarity=Pos\|Tense=Fut\|VerbForm=Fin`, `Aspect=Perf\|Mood=Ind\|Number=Plur\|POS=VERB\|Person=1\|Polarity=Pos\|Reflex=Yes\|Tense=Past\|VerbForm=Fin`, `Case=Nom\|Definite=Ind\|Gender=Masc\|Number=Sing\|POS=VERB\|Polarity=Neg\|Reflex=Yes\|Tense=Pres\|VerbForm=Part\|Voice=Act`, `Case=Nom\|Definite=Ind\|Gender=Masc\|Number=Sing\|POS=VERB\|Polarity=Neg\|Tense=Pres\|VerbForm=Part\|Voice=Act`, `Case=Loc\|Definite=Ind\|Gender=Fem\|Hyph=Yes\|Number=Plur\|POS=PRON\|PronType=Ind`, `Case=Nom\|Definite=Ind\|Gender=Fem\|POS=PRON\|PronType=Ind`, `Gender=Masc\|Number=Sing\|POS=VERB\|Polarity=Neg\|VerbForm=Conv`, `Case=Acc\|Definite=Ind\|Degree=Cmp\|Gender=Masc\|Number=Plur\|POS=ADJ`, `Case=Ins\|Definite=Ind\|Gender=Masc\|Number=Plur\|POS=VERB\|Polarity=Pos\|Reflex=Yes\|Tense=Pres\|VerbForm=Part\|Voice=Pass`, `Definite=Ind\|Gender=Neut\|Hyph=Yes\|POS=PRON\|PronType=Int`, `Mood=Cnd\|Number=Plur\|POS=VERB\|Person=1\|Polarity=Neg\|Reflex=Yes\|VerbForm=Fin`, `Mood=Ind\|Number=Plur\|POS=VERB\|Person=1\|Polarity=Pos\|Reflex=Yes\|Tense=Fut\|VerbForm=Fin`, `Mood=Ind\|Number=Plur\|POS=AUX\|Person=1\|Polarity=Pos\|Tense=Fut\|VerbForm=Fin`, `Case=Nom\|Definite=Ind\|Gender=Masc\|Number=Plur\|POS=VERB\|Polarity=Neg\|Tense=Past\|VerbForm=Part\|Voice=Pass`, `Case=Gen\|Definite=Ind\|Gender=Fem\|Number=Sing\|POS=VERB\|Polarity=Neg\|Tense=Pres\|VerbForm=Part\|Voice=Pass`, `Aspect=Perf\|Mood=Ind\|Number=Plur\|POS=VERB\|Person=1\|Polarity=Neg\|Tense=Past\|VerbForm=Fin`, `Case=Loc\|Definite=Ind\|Gender=Masc\|Number=Plur\|POS=VERB\|Polarity=Pos\|Tense=Past\|VerbForm=Part\|Voice=Pass`, `Case=Dat\|Definite=Ind\|Gender=Fem\|Number=Plur\|POS=VERB\|Polarity=Pos\|Tense=Pres\|VerbForm=Part\|Voice=Act`, `Case=Ins\|Definite=Ind\|Gender=Fem\|Number=Plur\|POS=DET\|PronType=Int`, `Case=Ins\|Definite=Ind\|Gender=Fem\|Hyph=Yes\|Number=Sing\|POS=PRON\|PronType=Ind`, `Aspect=Perf\|Definite=Ind\|Gender=Neut\|POS=VERB\|Polarity=Pos\|Reflex=Yes\|Tense=Past\|VerbForm=Part\|Voice=Act`, `Case=Ins\|Definite=Ind\|Hyph=Yes\|POS=PRON\|PronType=Int`, `Case=Nom\|Definite=Ind\|Gender=Masc\|NumForm=Word\|NumType=Ord\|Number=Plur\|POS=NUM`, `Case=Nom\|Definite=Ind\|Gender=Fem\|Hyph=Yes\|Number=Sing\|POS=DET\|PronType=Int`, `Case=Ins\|Definite=Ind\|POS=PRON\|PronType=Prs\|Reflex=Yes`, `Case=Dat\|Definite=Ind\|Gender=Fem\|Number=Sing\|POS=VERB\|Polarity=Pos\|Tense=Pres\|VerbForm=Part\|Voice=Pass`, `Case=Gen\|Definite=Ind\|Gender=Masc\|Mood=Nec\|Number=Plur\|POS=VERB\|Polarity=Pos\|VerbForm=Part`, `Case=Loc\|Definite=Ind\|Gender=Fem\|Number=Plur\|POS=DET\|PronType=Tot`, `Case=Nom\|Definite=Def\|Gender=Fem\|Number=Plur\|POS=VERB\|Polarity=Pos\|Tense=Pres\|VerbForm=Part\|Voice=Pass`, `Case=Nom\|Definite=Def\|Gender=Fem\|Number=Plur\|POS=VERB\|Polarity=Neg\|Tense=Pres\|VerbForm=Part\|Voice=Pass`, `Case=Nom\|Definite=Ind\|Gender=Fem\|Number=Plur\|POS=VERB\|Polarity=Neg\|Tense=Past\|VerbForm=Part\|Voice=Pass`, `Case=Acc\|Definite=Def\|Gender=Masc\|Number=Plur\|POS=VERB\|Polarity=Pos\|Tense=Pres\|VerbForm=Part\|Voice=Pass`, `Case=Nom\|Definite=Ind\|Gender=Fem\|Number=Sing\|POS=VERB\|Polarity=Pos\|VerbForm=Part\|Voice=Pass`, `Case=Gen\|Gender=Fem\|Number=Sing\|POS=X`, `Case=Ins\|Definite=Ind\|Gender=Masc\|Number=Plur\|POS=VERB\|Polarity=Pos\|Reflex=Yes\|Tense=Past\|VerbForm=Part\|Voice=Pass`, `Case=Ins\|Gender=Masc\|Number=Plur\|POS=NOUN\|Reflex=Yes`, `Case=Dat\|Definite=Ind\|Gender=Masc\|Hyph=Yes\|Number=Plur\|POS=PRON\|PronType=Ind`, `Case=Ins\|Definite=Ind\|Gender=Fem\|Number=Plur\|POS=VERB\|Polarity=Pos\|Tense=Pres\|VerbForm=Part\|Voice=Act`, `Case=Ins\|Definite=Ind\|POS=PRON\|PronType=Neg`, `Aspect=Hab\|Mood=Ind\|POS=VERB\|Person=3\|Polarity=Pos\|Tense=Past\|VerbForm=Fin`, `Case=Gen\|Definite=Ind\|Hyph=Yes\|POS=PRON\|PronType=Int`, `Case=Loc\|Definite=Ind\|Gender=Masc\|Hyph=Yes\|Number=Sing\|POS=DET\|PronType=Int`, `Case=Acc\|Definite=Ind\|Gender=Masc\|Hyph=Yes\|Number=Sing\|POS=DET\|PronType=Int`, `Aspect=Hab\|Mood=Ind\|Number=Sing\|POS=VERB\|Person=3\|Polarity=Neg\|Tense=Past\|VerbForm=Fin`, `Aspect=Hab\|Mood=Ind\|Number=Sing\|POS=VERB\|Person=3\|Polarity=Pos\|Reflex=Yes\|Tense=Past\|VerbForm=Fin`, `Aspect=Hab\|Mood=Ind\|Number=Sing\|POS=VERB\|Person=1\|Polarity=Neg\|Tense=Past\|VerbForm=Fin`, `Case=Ins\|Definite=Ind\|Gender=Masc\|Hyph=Yes\|Number=Sing\|POS=DET\|PronType=Int`, `Case=Ins\|Definite=Ind\|Gender=Fem\|Number=Sing\|POS=VERB\|Polarity=Neg\|Tense=Pres\|VerbForm=Part\|Voice=Act`, `Case=Nom\|Definite=Ind\|Gender=Masc\|Number=Sing\|POS=AUX\|Polarity=Pos\|Tense=Pres\|VerbForm=Part\|Voice=Act`, `Mood=Cnd\|Number=Sing\|POS=VERB\|Person=3\|Polarity=Neg\|VerbForm=Fin`, `Hyph=Yes\|POS=INTJ`, `Aspect=Perf\|Case=Acc\|Definite=Ind\|Gender=Masc\|Number=Sing\|POS=VERB\|Polarity=Pos\|Reflex=Yes\|Tense=Past\|VerbForm=Part\|Voice=Act`, `Case=Nom\|Definite=Def\|Gender=Fem\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs`, `Case=Nom\|Definite=Ind\|Gender=Fem\|NumForm=Word\|NumType=Ord\|Number=Sing\|POS=NUM`, `Case=Dat\|Definite=Ind\|Gender=Masc\|Number=Sing\|POS=VERB\|Polarity=Pos\|Tense=Fut\|VerbForm=Part\|Voice=Pass`, `Aspect=Hab\|Mood=Ind\|POS=AUX\|Person=3\|Polarity=Pos\|Tense=Past\|VerbForm=Fin`, `Case=Acc\|Definite=Ind\|Degree=Sup\|Gender=Masc\|Number=Sing\|POS=ADJ`, `Case=Dat\|Gender=Com\|Number=Sing\|POS=NOUN`, `Aspect=Hab\|Mood=Ind\|Number=Sing\|POS=VERB\|Person=1\|Polarity=Pos\|Reflex=Yes\|Tense=Past\|VerbForm=Fin`, `Case=Ins\|Definite=Ind\|Gender=Fem\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs`, `Aspect=Perf\|Definite=Ind\|Gender=Neut\|POS=VERB\|Polarity=Neg\|Tense=Past\|VerbForm=Part\|Voice=Act`, `Case=Gen\|Gender=Com\|Number=Sing\|POS=NOUN`, `Case=Acc\|Definite=Ind\|NumForm=Word\|NumType=Sets\|POS=NUM`, `Case=Gen\|Definite=Ind\|Gender=Masc\|NumForm=Word\|NumType=Mult\|POS=NUM`, `Aspect=Perf\|Mood=Ind\|Number=Sing\|POS=VERB\|Person=1\|Polarity=Neg\|Reflex=Yes\|Tense=Past\|VerbForm=Fin`, `Aspect=Perf\|Mood=Ind\|Number=Sing\|POS=AUX\|Person=1\|Polarity=Pos\|Tense=Past\|VerbForm=Fin`, `Aspect=Perf\|Case=Nom\|Definite=Ind\|Gender=Masc\|Number=Sing\|POS=VERB\|Polarity=Neg\|Tense=Past\|VerbForm=Part\|Voice=Act`, `Mood=Ind\|Number=Sing\|POS=VERB\|Person=2\|Polarity=Neg\|Reflex=Yes\|Tense=Fut\|VerbForm=Fin`, `Case=Nom\|Definite=Ind\|Gender=Masc\|Hyph=Yes\|Number=Sing\|POS=DET\|PronType=Dem`, `Case=Nom\|Definite=Ind\|Degree=Sup\|Gender=Fem\|Number=Plur\|POS=ADJ`, `Aspect=Perf\|Mood=Ind\|Number=Plur\|POS=VERB\|Person=3\|Polarity=Neg\|Reflex=Yes\|Tense=Past\|VerbForm=Fin`, `Case=Ins\|Definite=Ind\|Number=Sing\|POS=PRON\|Person=1\|PronType=Prs`, `Mood=Imp\|Number=Sing\|POS=VERB\|Person=2\|Polarity=Neg\|VerbForm=Fin`, `Case=Acc\|Definite=Ind\|Gender=Masc\|Hyph=Yes\|Number=Sing\|POS=DET\|PronType=Dem`, `Aspect=Hab\|Mood=Ind\|Number=Plur\|POS=VERB\|Person=3\|Polarity=Pos\|Reflex=Yes\|Tense=Past\|VerbForm=Fin`, `Mood=Ind\|Number=Sing\|POS=VERB\|Person=1\|Polarity=Neg\|Tense=Fut\|VerbForm=Fin`, `Case=Acc\|Definite=Ind\|Gender=Masc\|Number=Sing\|POS=VERB\|Polarity=Pos\|Tense=Fut\|VerbForm=Part\|Voice=Pass`, `Case=Gen\|Definite=Ind\|Gender=Masc\|Number=Dual\|POS=PRON\|Person=1\|PronType=Prs`, `Case=Nom\|Gender=Com\|Number=Plur\|POS=NOUN`, `Case=Dat\|Definite=Ind\|Gender=Masc\|Number=Sing\|POS=VERB\|Polarity=Pos\|Tense=Past\|VerbForm=Part\|Voice=Pass`, `Mood=Imp\|Number=Sing\|POS=AUX\|Person=3\|Polarity=Pos\|VerbForm=Fin`, `Case=Dat\|Definite=Ind\|Gender=Fem\|Number=Sing\|POS=VERB\|Polarity=Neg\|Tense=Pres\|VerbForm=Part\|Voice=Act`, `Case=Nom\|Definite=Ind\|Gender=Masc\|Mood=Nec\|Number=Sing\|POS=VERB\|Polarity=Neg\|VerbForm=Part`, `Case=Gen\|Definite=Ind\|Gender=Fem\|Number=Plur\|POS=VERB\|Polarity=Neg\|Tense=Pres\|VerbForm=Part\|Voice=Pass`, `Case=Acc\|Definite=Ind\|Gender=Masc\|Number=Dual\|POS=PRON\|Person=1\|PronType=Prs`, `Case=Nom\|Definite=Ind\|Gender=Masc\|Number=Dual\|POS=PRON\|Person=1\|PronType=Prs`, `Case=Dat\|Definite=Ind\|Gender=Masc\|Number=Plur\|POS=VERB\|Polarity=Neg\|Tense=Pres\|VerbForm=Part\|Voice=Act`, `Mood=Ind\|Number=Sing\|POS=VERB\|Person=2\|Polarity=Pos\|Reflex=Yes\|Tense=Fut\|VerbForm=Fin`, `Case=Nom\|Definite=Ind\|Number=Dual\|POS=PRON\|Person=1\|PronType=Prs`, `Aspect=Perf\|Case=Dat\|Definite=Ind\|Gender=Masc\|Number=Sing\|POS=VERB\|Polarity=Pos\|Tense=Past\|VerbForm=Part\|Voice=Act`, `Case=Acc\|Gender=Masc\|NumType=Card\|Number=Plur\|POS=NUM`, `Aspect=Perf\|Case=Nom\|Definite=Ind\|Gender=Masc\|Number=Plur\|POS=VERB\|Polarity=Neg\|Tense=Past\|VerbForm=Part\|Voice=Act`, `Case=Acc\|Definite=Def\|Gender=Fem\|Number=Plur\|POS=VERB\|Polarity=Pos\|Tense=Past\|VerbForm=Part\|Voice=Pass`, `Case=Acc\|Definite=Ind\|Gender=Fem\|Number=Plur\|POS=VERB\|Polarity=Neg\|Tense=Past\|VerbForm=Part\|Voice=Pass`, `Case=Loc\|Definite=Ind\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Int`, `Case=Acc\|Gender=Masc\|Number=Plur\|POS=NOUN\|Reflex=Yes`, `Case=Loc\|Definite=Ind\|Gender=Masc\|Number=Plur\|POS=VERB\|Polarity=Pos\|Tense=Pres\|VerbForm=Part\|Voice=Act`, `Case=Nom\|Definite=Ind\|Gender=Fem\|Mood=Nec\|Number=Sing\|POS=VERB\|Polarity=Neg\|VerbForm=Part`, `Case=Acc\|Definite=Ind\|Gender=Masc\|Number=Sing\|POS=VERB\|Polarity=Neg\|Tense=Past\|VerbForm=Part\|Voice=Pass`, `Case=Ins\|Definite=Ind\|Number=Plur\|POS=PRON\|Person=1\|PronType=Prs`, `Case=Ins\|Definite=Ind\|Gender=Masc\|NumForm=Word\|NumType=Ord\|Number=Plur\|POS=NUM`, `Mood=Imp\|Number=Sing\|POS=VERB\|Person=2\|Polarity=Pos\|VerbForm=Fin`, `Case=Nom\|Definite=Ind\|Hyph=Yes\|POS=PRON\|PronType=Ind`, `Case=Ins\|Definite=Ind\|Gender=Masc\|Hyph=Yes\|Number=Plur\|POS=PRON\|PronType=Ind`, `Case=Ins\|Definite=Ind\|POS=PRON\|PronType=Ind`, `Aspect=Perf\|Case=Ins\|Definite=Ind\|Gender=Masc\|Number=Sing\|POS=VERB\|Polarity=Pos\|Tense=Past\|VerbForm=Part\|Voice=Act`, `Case=Dat\|Definite=Ind\|Gender=Masc\|Number=Plur\|POS=DET\|PronType=Dem`, `Mood=Cnd\|Number=Plur\|POS=VERB\|Person=2\|Polarity=Pos\|VerbForm=Fin`, `Case=Dat\|Definite=Ind\|Gender=Masc\|Number=Sing\|POS=VERB\|Polarity=Pos\|Tense=Pres\|VerbForm=Part\|Voice=Pass`, `Case=Ins\|Definite=Ind\|Gender=Fem\|Number=Sing\|POS=VERB\|Polarity=Pos\|Tense=Pres\|VerbForm=Part\|Voice=Act`, `Case=Nom\|Gender=Fem\|NumType=Card\|POS=NUM`, `Case=Loc\|Definite=Ind\|Gender=Fem\|Number=Sing\|POS=VERB\|Polarity=Pos\|Reflex=Yes\|Tense=Past\|VerbForm=Part\|Voice=Pass`, `Case=Nom\|Definite=Ind\|Gender=Fem\|Number=Sing\|POS=VERB\|Tense=Pres\|VerbForm=Part\|Voice=Pass`, `Definite=Ind\|Hyph=Yes\|POS=PRON\|PronType=Ind`, `Case=Nom\|Definite=Def\|Gender=Fem\|NumType=Ord\|Number=Sing\|POS=NUM`, `Case=Loc\|Definite=Ind\|Degree=Cmp\|Gender=Fem\|Number=Plur\|POS=ADJ`, `Gender=Fem\|Number=Sing\|POS=AUX\|Polarity=Pos\|VerbForm=Conv`, `Case=Loc\|Definite=Def\|Gender=Fem\|Number=Sing\|POS=VERB\|Polarity=Pos\|Tense=Pres\|VerbForm=Part\|Voice=Pass`, `Case=Dat\|Definite=Ind\|Gender=Fem\|Hyph=Yes\|Number=Sing\|POS=PRON\|PronType=Ind`, `Case=Dat\|Definite=Ind\|Gender=Masc\|Number=Plur\|POS=VERB\|Polarity=Neg\|Tense=Past\|VerbForm=Part\|Voice=Pass`, `Case=Dat\|Definite=Ind\|Degree=Cmp\|Gender=Masc\|Number=Plur\|POS=ADJ`, `Case=Ins\|Definite=Ind\|Degree=Cmp\|Gender=Fem\|Number=Plur\|POS=ADJ`, `Case=Dat\|Definite=Ind\|Gender=Fem\|Number=Plur\|POS=DET\|PronType=Dem`, `Aspect=Perf\|Case=Dat\|Definite=Ind\|Gender=Fem\|Number=Plur\|POS=VERB\|Polarity=Pos\|Tense=Past\|VerbForm=Part\|Voice=Act`, `Case=Acc\|Definite=Ind\|Gender=Fem\|POS=PRON\|PronType=Ind`, `Case=Dat\|Definite=Ind\|Gender=Fem\|Number=Sing\|POS=PRON\|PronType=Ind`, `Case=Gen\|Definite=Ind\|Gender=Masc\|Hyph=Yes\|Number=Sing\|POS=DET\|PronType=Dem`, `Case=Gen\|Definite=Ind\|Gender=Fem\|Hyph=Yes\|Number=Sing\|POS=DET\|PronType=Dem`, `Case=Loc\|Definite=Ind\|Gender=Fem\|Hyph=Yes\|Number=Sing\|POS=DET\|PronType=Dem`, `Aspect=Perf\|Case=Loc\|Definite=Ind\|Gender=Fem\|Number=Plur\|POS=VERB\|Polarity=Pos\|Tense=Past\|VerbForm=Part\|Voice=Act`, `Case=Acc\|Definite=Ind\|Gender=Fem\|Hyph=Yes\|Number=Sing\|POS=PRON\|PronType=Ind`, `Case=Nom\|Definite=Ind\|Gender=Fem\|NumForm=Word\|Number=Sing\|POS=NUM`, `Case=Loc\|Definite=Ind\|Gender=Fem\|Number=Plur\|POS=VERB\|Polarity=Pos\|Tense=Pres\|VerbForm=Part\|Voice=Act`, `Case=Acc\|Definite=Ind\|Gender=Fem\|NumForm=Word\|Number=Sing\|POS=NUM`, `Case=Nom\|Definite=Ind\|Gender=Masc\|Number=Plur\|POS=VERB\|Polarity=Pos\|VerbForm=Part\|Voice=Pass`, `Case=Dat\|Definite=Def\|Gender=Fem\|Number=Sing\|POS=VERB\|Polarity=Pos\|Tense=Pres\|VerbForm=Part\|Voice=Pass`, `Case=Gen\|Definite=Def\|Gender=Fem\|Number=Sing\|POS=PRON\|PronType=Ind`, `Case=Dat\|Definite=Ind\|Gender=Masc\|Number=Sing\|POS=VERB\|Polarity=Neg\|Tense=Pres\|VerbForm=Part\|Voice=Act`, `Case=Dat\|Definite=Ind\|Gender=Masc\|Number=Sing\|POS=VERB\|Polarity=Pos\|Tense=Pres\|VerbForm=Part\|Voice=Act`, `Case=Dat\|Definite=Ind\|Gender=Fem\|Number=Plur\|POS=VERB\|Polarity=Pos\|Tense=Past\|VerbForm=Part\|Voice=Pass`, `Case=Dat\|Definite=Def\|Gender=Masc\|NumForm=Word\|NumType=Ord\|Number=Plur\|POS=NUM`, `Case=Nom\|Definite=Def\|Gender=Fem\|Number=Sing\|POS=VERB\|Polarity=Pos\|Tense=Pres\|VerbForm=Part\|Voice=Act`, `Gender=Fem\|Number=Plur\|POS=VERB\|Polarity=Pos\|Reflex=Yes\|VerbForm=Conv`, `Mood=Imp\|Number=Sing\|POS=VERB\|Person=2\|Polarity=Pos\|Reflex=Yes\|VerbForm=Fin`, `Case=Gen\|Gender=Fem\|Number=Plur\|POS=PROPN`, `Case=Loc\|Definite=Ind\|Gender=Masc\|Number=Plur\|POS=VERB\|Polarity=Pos\|Reflex=Yes\|Tense=Past\|VerbForm=Part\|Voice=Pass`, `Case=Gen\|Definite=Ind\|Gender=Masc\|Number=Plur\|POS=VERB\|Polarity=Pos\|VerbForm=Part\|Voice=Pass`, `Aspect=Perf\|Case=Ins\|Definite=Ind\|Gender=Masc\|Number=Plur\|POS=VERB\|Polarity=Neg\|Tense=Past\|VerbForm=Part\|Voice=Act`, `Gender=Fem\|Number=Sing\|POS=NOUN`, `Case=Ins\|Definite=Ind\|Gender=Fem\|Number=Plur\|POS=VERB\|Polarity=Pos\|Tense=Past\|VerbForm=Part\|Voice=Pass`, `Case=Nom\|Definite=Ind\|Gender=Fem\|POS=VERB\|Polarity=Pos\|Tense=Past\|VerbForm=Part\|Voice=Pass`, `Case=Nom\|Gender=Masc\|Number=Plur\|POS=VERB\|Polarity=Pos\|Tense=Past\|Voice=Pass`, `Case=Acc\|Definite=Ind\|Gender=Masc\|Number=Plur\|POS=VERB\|Polarity=Pos\|Reflex=Yes\|Tense=Past\|VerbForm=Part\|Voice=Pass` |
| **`parser`** | `ROOT`, `acl`, `advcl`, `advmod`, `advmod:emph`, `amod`, `appos`, `case`, `cc`, `ccomp`, `conj`, `cop`, `csubj`, `dep`, `det`, `flat`, `flat:foreign`, `iobj`, `mark`, `nmod`, `nsubj`, `nsubj:pass`, `nummod`, `nummod:gov`, `obj`, `obl`, `obl:arg`, `orphan`, `parataxis`, `punct`, `xcomp` |
| **`experimental_edit_tree_lemmatizer`** | `2`, `3`, `5`, `7`, `9`, `12`, `16`, `18`, `19`, `21`, `24`, `26`, `30`, `32`, `34`, `37`, `39`, `41`, `43`, `44`, `46`, `48`, `50`, `52`, `55`, `59`, `62`, `64`, `66`, `68`, `70`, `72`, `74`, `75`, `77`, `79`, `81`, `84`, `86`, `88`, `90`, `92`, `94`, `96`, `98`, `101`, `103`, `105`, `107`, `109`, `110`, `111`, `113`, `115`, `117`, `119`, `121`, `123`, `125`, `127`, `129`, `131`, `133`, `135`, `137`, `139`, `142`, `146`, `148`, `151`, `153`, `155`, `158`, `162`, `165`, `167`, `168`, `170`, `173`, `175`, `177`, `180`, `182`, `184`, `185`, `187`, `189`, `190`, `194`, `195`, `196`, `197`, `200`, `202`, `204`, `205`, `206`, `207`, `208`, `209`, `211`, `213`, `216`, `217`, `219`, `220`, `222`, `224`, `225`, `227`, `231`, `234`, `238`, `242`, `246`, `249`, `251`, `252`, `255`, `258`, `261`, `263`, `265`, `267`, `269`, `272`, `274`, `276`, `278`, `281`, `284`, `285`, `287`, `289`, `292`, `294`, `295`, `297`, `299`, `301`, `303`, `306`, `308`, `310`, `313`, `314`, `317`, `319`, `323`, `325`, `328`, `331`, `333`, `336`, `339`, `341`, `344`, `346`, `350`, `353`, `356`, `359`, `360`, `363`, `366`, `368`, `371`, `374`, `376`, `378`, `380`, `382`, `384`, `385`, `387`, `389`, `390`, `391`, `393`, `395`, `397`, `402`, `403`, `404`, `406`, `408`, `409`, `413`, `415`, `417`, `419`, `420`, `423`, `424`, `426`, `429`, `432`, `434`, `436`, `439`, `442`, `445`, `447`, `448`, `450`, `452`, `455`, `456`, `458`, `460`, `463`, `465`, `468`, `472`, `475`, `477`, `480`, `482`, `483`, `485`, `487`, `488`, `489`, `491`, `492`, `494`, `496`, `497`, `500`, `501`, `502`, `504`, `505`, `506`, `508`, `509`, `513`, `515`, `518`, `519`, `521`, `522`, `523`, `525`, `527`, `529`, `533`, `535`, `538`, `541`, `542`, `545`, `547`, `550`, `552`, `554`, `555`, `557`, `560`, `561`, `563`, `566`, `569`, `572`, `574`, `577`, `580`, `582`, `584`, `589`, `594`, `596`, `599`, `600`, `602`, `604`, `607`, `609`, `611`, `613`, `615`, `616`, `619`, `623`, `625`, `628`, `629`, `631`, `633`, `635`, `638`, `640`, `642`, `645`, `647`, `649`, `653`, `655`, `658`, `660`, `661`, `663`, `665`, `666`, `668`, `670`, `671`, `672`, `673`, `675`, `678`, `679`, `681`, `683`, `685`, `688`, `691`, `693`, `697`, `699`, `700`, `702`, `703`, `704`, `705`, `706`, `707`, `709`, `714`, `715`, `717`, `719`, `721`, `722`, `725`, `726`, `728`, `730`, `732`, `735`, `738`, `739`, `741`, `742`, `743`, `746`, `748`, `750`, `754`, `755`, `757`, `759`, `761`, `762`, `765`, `768`, `770`, `773`, `774`, `777`, `781`, `784`, `785`, `788`, `791`, `793`, `795`, `796`, `799`, `801`, `803`, `805`, `807`, `808`, `811`, `813`, `814`, `816`, `817`, `818`, `822`, `825`, `827`, `829`, `831`, `835`, `836`, `838`, `839`, `841`, `843`, `844`, `846`, `849`, `850`, `851`, `854`, `855`, `856`, `857`, `858`, `859`, `860`, `861`, `367`, `862`, `865`, `867`, `868`, `869`, `870`, `873`, `874`, `875`, `878`, `879`, `882`, `886`, `888`, `890`, `893`, `895`, `898`, `900`, `901`, `902`, `903`, `905`, `907`, `908`, `910`, `912`, `914`, `915`, `917`, `919`, `921`, `922`, `924`, `928`, `929`, `930`, `931`, `932`, `935`, `936`, `938`, `940`, `942`, `944`, `945`, `947`, `951`, `953`, `956`, `958`, `959`, `961`, `963`, `965`, `967`, `969`, `970`, `972`, `975`, `976`, `977`, `979`, `980`, `981`, `983`, `987`, `990`, `992`, `993`, `995`, `996`, `998`, `1000`, `1002`, `1004`, `1006`, `1008`, `1009`, `1012`, `1014`, `1015`, `1016`, `1018`, `1019`, `1022`, `1024`, `1026`, `1028`, `1029`, `1033`, `1036`, `1038`, `1040`, `1042`, `1047`, `1049`, `1051`, `1053`, `1055`, `1057`, `1060`, `1063`, `1065`, `1067`, `1069`, `1070`, `1071`, `1073`, `1075`, `1078`, `1080`, `1082`, `1084`, `1086`, `1089`, `1092`, `1093`, `1094`, `1095`, `1096`, `1098`, `1100`, `1102`, `1104`, `1105`, `1107`, `1108`, `1110`, `1113`, `1115`, `1118`, `1121`, `1123`, `1124`, `1126`, `1127`, `1129`, `1131`, `1134`, `1137`, `1141`, `1142`, `1144`, `1146`, `1148`, `1150`, `1151`, `1153`, `1154`, `1156`, `1158`, `1159`, `1162`, `1164`, `1166`, `1169`, `1173`, `1175`, `1178`, `1180`, `1183`, `1184`, `1186`, `1187`, `1189`, `1191`, `1194`, `1196`, `1197`, `1198`, `1200`, `1201`, `1203`, `1205`, `1207`, `1210`, `1212`, `1215`, `1216`, `1218`, `1220`, `1223`, `1224`, `1227`, `1229`, `1232`, `1234`, `1235`, `1238`, `1241`, `1242`, `1243`, `1246`, `1247`, `1249`, `1251`, `1252`, `1253`, `1256`, `1259`, `1262`, `1264`, `1267`, `1269`, `1271`, `1272`, `1275`, `1277`, `1278`, `1280`, `1282`, `1284`, `1285`, `1288`, `1291`, `1293`, `1296`, `1298`, `1300`, `1301`, `1302`, `1303`, `1305`, `1307`, `1309`, `1312`, `1315`, `1316`, `1319`, `1320`, `1321`, `1322`, `1323`, `1324`, `1327`, `1330`, `1333`, `1334`, `1335`, `1336`, `1339`, `1341`, `1344`, `1345`, `1347`, `1349`, `1350`, `1351`, `1352`, `1354`, `1357`, `1358`, `1359`, `1360`, `1362`, `1365`, `1368`, `1369`, `1370`, `1372`, `1374`, `1376`, `1377`, `1379`, `1382`, `1385`, `1386`, `1390`, `1393`, `1394`, `1396`, `1398`, `1400`, `1403`, `1405`, `1408`, `1410`, `1413`, `1415`, `1418`, `1420`, `1421`, `1423`, `1424`, `1426`, `1428`, `1429`, `1432`, `1434`, `1436`, `1438`, `1441`, `1443`, `1444`, `1445`, `1447`, `1449`, `1450`, `1451`, `1453`, `1455`, `1457`, `1458`, `1460`, `1461`, `1463`, `1465`, `1467`, `1470`, `1472`, `1474`, `1476`, `1477`, `1479`, `1481`, `1482`, `1483`, `1484`, `1486`, `1489`, `1492`, `1494`, `1495`, `1497`, `1498`, `1501`, `1503`, `1505`, `1506`, `1507`, `1508`, `1510`, `1511`, `1514`, `1515`, `1518`, `1521`, `1524`, `1526`, `1529`, `1532`, `1533`, `1534`, `1537`, `1539`, `1540`, `1542`, `1544`, `1545`, `1547`, `1549`, `1550`, `1551`, `1552`, `1553`, `1555`, `1557`, `1559`, `1562`, `1565`, `1568`, `1570`, `1571`, `1574`, `1576`, `1579`, `1580`, `1582`, `1583`, `1585`, `1586`, `1588`, `1590`, `1591`, `1592`, `1594`, `1595`, `1597`, `1598`, `1600`, `1602`, `1605`, `1607`, `1608`, `1609`, `1611`, `1613`, `1615`, `1616`, `1617`, `1620`, `1621`, `1623`, `1624`, `1625`, `1628`, `1630`, `1632`, `1634`, `1635`, `1636`, `1638`, `1639`, `1641`, `1643`, `1644`, `1647`, `1649`, `1650`, `1651`, `1652`, `1654`, `1656`, `1657`, `1658`, `1659`, `1660`, `1661`, `1663`, `1664`, `1665`, `1666`, `1669`, `1672`, `1673`, `1674`, `1675`, `1678`, `1679`, `1682`, `1685`, `1686`, `1689`, `1690`, `1691`, `1693`, `1694`, `1695`, `1697`, `1699`, `1701`, `1702`, `1704`, `1706`, `1707`, `1709`, `1711`, `1713`, `1715`, `1716`, `1720`, `1722`, `1724`, `1726`, `1727`, `1728`, `1729`, `1732`, `1733`, `1736`, `1737`, `1740`, `1741`, `1742`, `1744`, `1747`, `1749`, `1751`, `1755`, `1756`, `1757`, `1759`, `1761`, `1763`, `1764`, `1766`, `1769`, `1771`, `1772`, `1774`, `1776`, `1777`, `1780`, `1781`, `1782`, `1784`, `1785`, `1787`, `1789`, `1790`, `1791`, `1794`, `1796`, `1798`, `1801`, `1802`, `1805`, `1806`, `1807`, `1808`, `1811`, `1812`, `1815`, `1818`, `1821`, `1823`, `1825`, `1828`, `1830`, `1832`, `1835`, `1836`, `1839`, `1841`, `1844`, `1847`, `1850`, `1852`, `1853`, `1854`, `1855`, `1856`, `1857`, `1860`, `1862`, `1863`, `1864`, `1866`, `1867`, `1869`, `1870`, `1871`, `1874`, `1876`, `1878`, `1879`, `1882`, `1885`, `1887`, `1890`, `1893`, `1896`, `1898`, `1900`, `1902`, `1903`, `1904`, `1905`, `1906`, `1909`, `1912`, `1913`, `1917`, `1919`, `1921`, `1924`, `1925`, `1926`, `1928`, `1929`, `1931`, `1933`, `1935`, `1936`, `1937`, `1939`, `1941`, `1944`, `1946`, `1947`, `1950`, `1951`, `1954`, `1955`, `1957`, `1958`, `1960`, `1961`, `1964`, `1966`, `1968`, `1970`, `1971`, `1972`, `1975`, `1977`, `1980`, `1982`, `1983`, `1984`, `1985`, `1986`, `1987`, `1988`, `1991`, `1993`, `1995`, `1996`, `1997`, `1999`, `2000`, `2001`, `2003`, `2005`, `2008`, `2011`, `2012`, `2014`, `2017`, `2018`, `2019`, `2020`, `2022`, `2024`, `2025`, `2027`, `2029`, `2031`, `2032`, `2035`, `2036`, `2039`, `2040`, `2041`, `2044`, `2045`, `40`, `2046`, `2048`, `2049`, `2052`, `2055`, `2056`, `2058`, `2059`, `2061`, `2063`, `2066`, `2068`, `2069`, `2071`, `2072`, `2074`, `2076`, `2077`, `2078`, `2079`, `2080`, `2082`, `2084`, `2086`, `2087`, `2088`, `2090`, `2091`, `2094`, `2097`, `2098`, `2100`, `2102`, `2103`, `2104`, `2106`, `2107`, `2108`, `2111`, `2113`, `2114`, `2116`, `2118`, `2121`, `2124`, `2126`, `2128`, `2130`, `2134`, `2137`, `2139`, `2141`, `2143`, `2145`, `2146`, `2148`, `2150`, `2152`, `2155`, `2157`, `2160`, `2161`, `2163`, `2164`, `2165`, `2166`, `2167`, `2169`, `2170`, `2171`, `2174`, `2177`, `2178`, `2179`, `2180`, `2182`, `2185`, `2186`, `2187`, `2189`, `2190`, `2191`, `2192`, `2194`, `2195`, `2196`, `2199`, `2200`, `2202`, `2204`, `2206`, `2207`, `2208`, `2211`, `2213`, `2214`, `2215`, `2216`, `2217`, `2219`, `2220`, `2221`, `2222`, `2223`, `2225`, `2226`, `2227`, `2228`, `2230`, `2232`, `2234`, `2237`, `2239`, `2240`, `2241`, `2242`, `2243`, `2244`, `2245`, `2246`, `2247`, `2249`, `2251`, `2254`, `2256`, `2257`, `2258`, `2260`, `2261`, `2263`, `2266`, `2268`, `2269`, `2270`, `2271`, `2272`, `2273`, `2274`, `2275`, `2276`, `2279`, `2281`, `2283`, `2284`, `2285`, `2286`, `2287`, `2289`, `2291`, `2294`, `2295`, `2297`, `2298`, `2301`, `2302`, `2303`, `2304`, `2305`, `2306`, `2308`, `2310`, `2311`, `2312`, `2313`, `2314`, `2315`, `2316`, `2317`, `2318`, `2319`, `2322`, `2324`, `2326`, `2327`, `2330`, `2331`, `2332`, `2334`, `2335`, `2336`, `2337`, `2338`, `2339`, `2340`, `2341`, `2342`, `2343`, `2344`, `2345`, `2346`, `2347`, `2348`, `2349`, `2351`, `2353`, `2354`, `2356`, `2357`, `2358`, `2359`, `2360`, `2361`, `2362`, `2363`, `2364`, `2365`, `2366`, `2367`, `2368`, `2369`, `2370`, `2371`, `2372`, `2375`, `2376`, `2377`, `2378`, `2379`, `2380`, `2381`, `2382`, `2383`, `2384`, `2385`, `2386`, `2387`, `2388`, `2389`, `2390`, `2391`, `2392`, `2393`, `2394`, `2395`, `2396`, `2398`, `2399`, `2401`, `2403`, `2404`, `2405`, `2406`, `2407`, `2410`, `2411`, `2413`, `2414`, `2415`, `2416`, `2417`, `2418`, `2419`, `2420`, `2421`, `2422`, `2423`, `2424`, `2425`, `2426`, `2429`, `2430`, `2432`, `2433`, `2435`, `2437`, `2440`, `2443`, `2444`, `2445`, `2446`, `2447`, `2448`, `2450`, `2451`, `2452`, `2453`, `2454`, `2455`, `2456`, `2457`, `2458`, `2459`, `2460`, `2461`, `2462`, `2463`, `2466`, `2468`, `2469`, `2470`, `2471`, `2472`, `2473`, `2474`, `2475`, `2476`, `2477`, `2478`, `2480`, `2482`, `2483`, `2484`, `2485`, `2486`, `2487`, `2488`, `2489`, `2491`, `2493`, `2495`, `2496`, `2498`, `2500`, `2501`, `2504`, `2505`, `2506`, `2508`, `2509`, `2511`, `2513`, `2515`, `2516`, `2518`, `2519`, `2520`, `2522`, `2525`, `2526`, `2528`, `2530`, `2532`, `2533`, `2534`, `2535`, `2537`, `2539`, `2540`, `2541`, `2542`, `2543`, `2544`, `2546`, `2548`, `2550`, `2552`, `2553`, `2555`, `2557`, `2558`, `2560`, `2561`, `2564`, `2565`, `2566`, `2567`, `2568`, `2570`, `2572`, `2574`, `2578`, `2579`, `2580`, `2581`, `2583`, `2584`, `2585`, `2586`, `2588`, `2589`, `2590`, `2591`, `2594`, `2596`, `2597`, `2599`, `2600`, `2601`, `2602`, `2603`, `2606`, `2609`, `2612`, `2613`, `2617`, `2618`, `2621`, `2622`, `2625`, `2629`, `2631`, `2633`, `2634`, `2636`, `2637`, `2638`, `2639`, `2640`, `2641`, `2643`, `2645`, `2647`, `2649`, `2650`, `2651`, `2653`, `2654`, `2657`, `2658`, `2659`, `2660`, `2662`, `2663`, `2665`, `2669`, `2671`, `2673`, `2676`, `2677`, `2678`, `2680`, `2682`, `2684`, `2687`, `2690`, `2692`, `2694`, `2696`, `2697`, `2698`, `2699`, `2700`, `2701`, `2702`, `2703`, `2704`, `2705`, `2706`, `2708`, `2710`, `2711`, `2712`, `2713`, `2716`, `2718`, `2721`, `2722`, `2725`, `2726`, `2727`, `2730`, `2731`, `2732`, `2733`, `2737`, `2740`, `2741`, `2742`, `2744`, `2747`, `2750`, `2752`, `2754`, `2756`, `2757`, `2760`, `2762`, `2765`, `2768`, `2769`, `2772`, `2775`, `2778`, `2779`, `2780`, `2782`, `2784`, `2786`, `2787`, `2789`, `2790`, `2791`, `2794`, `2795`, `2797`, `2799`, `2800`, `2801`, `2803`, `2804`, `2805`, `2808`, `2810`, `2811`, `2812`, `2815`, `2817`, `2818`, `2819`, `2821`, `2822`, `2823`, `2824`, `2826`, `2828`, `2829`, `2830`, `2833`, `2834`, `2836`, `2838`, `2839`, `2842`, `2845`, `2847`, `2848`, `2849`, `2851`, `2854`, `2856`, `2859`, `2861`, `2863`, `2864`, `2865`, `2866`, `2867`, `2870`, `2873`, `2874`, `2876`, `2880`, `2882`, `2884`, `2887`, `2889`, `2890`, `2893`, `2895`, `2897`, `2899`, `2900`, `2901`, `2904`, `2905`, `2907`, `2909`, `2911`, `2912`, `2914`, `2916`, `2917`, `2918`, `2919`, `2922`, `2925`, `2926`, `2855`, `2928`, `2930`, `2932`, `2933`, `2936`, `2937`, `2939`, `2940`, `2941`, `2942`, `2943`, `2945`, `2946`, `2948`, `2952`, `2954`, `2957`, `2958`, `2961`, `2962`, `2963`, `2965`, `2967`, `2969`, `2971`, `2974`, `2976`, `2979`, `2980`, `2981`, `2982`, `2984`, `2985`, `2987`, `2989`, `2991`, `2993`, `2995`, `2997`, `2998`, `2999`, `3000`, `3001`, `3002`, `3004`, `3005`, `3007`, `3008`, `3009`, `3010`, `3011`, `3012`, `3013`, `3015`, `3017`, `3019`, `3021`, `3022`, `3023`, `3024`, `3025`, `3027`, `3028`, `3030`, `3031`, `3033`, `3036`, `3039`, `3040`, `3042`, `3045`, `3047`, `3049`, `3050`, `3053`, `3054`, `3055`, `3056`, `3057`, `3058`, `3059`, `3061`, `3062`, `3063`, `3064`, `3066`, `3067`, `3068`, `3069`, `3071`, `3073`, `3074`, `3077`, `3078`, `3080`, `3081`, `3083`, `3084`, `3085`, `3086`, `3087`, `3088`, `3089`, `3090`, `3091`, `3093`, `3095`, `3096`, `3098`, `3100`, `3101`, `3102`, `3103`, `3104`, `3107`, `3109`, `3113`, `3114`, `3115`, `3116`, `3117`, `3119`, `3120`, `3123`, `3124`, `3125`, `3128`, `3130`, `3133`, `3134`, `3136`, `3137`, `3139`, `3140`, `3141`, `3142`, `3143`, `3145`, `3147`, `3148`, `3150`, `3151`, `3153`, `3154`, `3157`, `3158`, `3159`, `3161`, `3163`, `3164`, `3165`, `3166`, `3167`, `3169`, `3170`, `3173`, `3174`, `3177`, `3178`, `3179`, `3182`, `3185`, `3187`, `3190`, `3191`, `3192`, `3193`, `3194`, `3195`, `3196`, `3197`, `3198`, `3199`, `3200`, `3201`, `3203`, `3205`, `3206`, `3209`, `3212`, `3213`, `3215`, `3216`, `3217`, `3218`, `3219`, `3220`, `3222`, `3225`, `3226`, `3229`, `3232`, `3234`, `3236`, `3237`, `3240`, `3241`, `3242`, `3243`, `3244`, `3245`, `3246`, `3247`, `3248`, `3249`, `3250`, `3252`, `3255`, `3257`, `3258`, `3259`, `3260`, `3261`, `3262`, `3263`, `3264`, `3266`, `3267`, `3268`, `3269`, `3272`, `3273`, `3276`, `3279`, `3282`, `3283`, `3285`, `3286`, `3287`, `3289`, `3292`, `3294`, `3297`, `3299`, `3301`, `3303`, `3305`, `3307`, `3309`, `3310`, `3311`, `3312`, `3313`, `3314`, `3315`, `3317`, `3318`, `3319`, `3322`, `3324`, `3325`, `3328`, `3330`, `3331`, `3333`, `3334`, `3337`, `3341`, `3342`, `3344`, `3345`, `3347`, `3349`, `3350`, `3352`, `3354`, `3355`, `3356`, `3357`, `3358`, `3359`, `3360`, `3361`, `3362`, `3364`, `3365`, `3366`, `3367`, `3368`, `3370`, `3373`, `3374`, `3375`, `3376`, `3377`, `3378`, `3379`, `3380`, `3381`, `3382`, `3385`, `3386`, `3388`, `3390`, `3391`, `3392`, `3394`, `3395`, `3396`, `3397`, `3398`, `3399`, `3400`, `3401`, `3402`, `3404`, `3406`, `3407`, `3408`, `3409`, `3410`, `3411`, `3412`, `3413`, `3414`, `3415`, `3416`, `3418`, `3420`, `3423`, `3426`, `3429`, `3430`, `3431`, `3432`, `3433`, `3434`, `3435`, `3436`, `3437`, `3440`, `3441`, `3442`, `3445`, `3446`, `3448`, `3449`, `3451`, `3453`, `3455`, `3457`, `3458`, `3459`, `3460`, `3461`, `3462`, `3463`, `3464`, `3465`, `3466`, `3468`, `3469`, `3473`, `3474`, `3475`, `3477`, `3478`, `3479`, `3481`, `3482`, `3483`, `3485`, `3488`, `3489`, `3490`, `3491`, `3492`, `3493`, `3495`, `3496`, `3497`, `3498`, `3499`, `3500`, `3501`, `3502`, `3503`, `3504`, `3505`, `3506`, `3509`, `3510`, `3511`, `3512`, `3514`, `3516`, `3517`, `3518`, `3519`, `3520`, `3521`, `3522`, `3523`, `3524`, `3525`, `3526`, `3527`, `3528`, `3529`, `3530`, `3531`, `3532`, `3535`, `3536`, `3537`, `3538`, `3539`, `3540`, `3542`, `3543`, `3546`, `3547`, `3548`, `3549`, `3550`, `3551`, `3552`, `3553` |
</details>
### Accuracy
| Type | Score |
| --- | --- |
| `TOKEN_F` | 99.96 |
| `TOKEN_P` | 99.94 |
| `TOKEN_R` | 99.98 |
| `TOKEN_ACC` | 100.00 |
| `SENTS_F` | 95.65 |
| `SENTS_P` | 96.84 |
| `SENTS_R` | 94.49 |
| `TAG_ACC` | 95.43 |
| `POS_ACC` | 98.07 |
| `MORPH_ACC` | 95.50 |
| `DEP_UAS` | 88.11 |
| `DEP_LAS` | 83.62 |
| `LEMMA_ACC` | 90.46 | |
crabz/FERNET-CC_sk-ner | crabz | 2021-12-10T18:46:02Z | 4 | 1 | transformers | [
"transformers",
"pytorch",
"bert",
"token-classification",
"generated_from_trainer",
"sk",
"dataset:wikiann",
"license:cc-by-nc-sa-4.0",
"model-index",
"autotrain_compatible",
"region:us"
] | token-classification | 2022-03-02T23:29:05Z | ---
license: cc-by-nc-sa-4.0
tags:
- generated_from_trainer
datasets:
- wikiann
metrics:
- precision
- recall
- f1
- accuracy
language:
- sk
inference: false
model-index:
- name: fernet-sk-ner
results:
- task:
name: Token Classification
type: token-classification
dataset:
name: wikiann sk
type: wikiann
args: sk
metrics:
- name: Precision
type: precision
value: 0.9359821760118826
- name: Recall
type: recall
value: 0.9472378804960541
- name: F1
type: f1
value: 0.9415763914830033
- name: Accuracy
type: accuracy
value: 0.9789063466534702
---
# Named Entity Recognition based on FERNET-CC_sk
This model is a fine-tuned version of [fav-kky/FERNET-CC_sk](https://huggingface.co/fav-kky/FERNET-CC_sk) on the Slovak wikiann dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1763
- Precision: 0.9360
- Recall: 0.9472
- F1: 0.9416
- Accuracy: 0.9789
## Intended uses & limitation
Supported classes: LOCATION, PERSON, ORGANIZATION
```
from transformers import pipeline
ner_pipeline = pipeline(task='ner', model='crabz/slovakbert-ner')
input_sentence = "Minister financií a líder mandátovo najsilnejšieho hnutia OĽaNO Igor Matovič upozorňuje, že následky tretej vlny budú na Slovensku veľmi veľké."
classifications = ner_pipeline(input_sentence)
```
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 24
- eval_batch_size: 24
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10.0
### Training results
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
| 0.1259 | 1.0 | 834 | 0.1095 | 0.8963 | 0.9182 | 0.9071 | 0.9697 |
| 0.071 | 2.0 | 1668 | 0.0974 | 0.9270 | 0.9357 | 0.9313 | 0.9762 |
| 0.0323 | 3.0 | 2502 | 0.1259 | 0.9257 | 0.9330 | 0.9293 | 0.9745 |
| 0.0175 | 4.0 | 3336 | 0.1347 | 0.9241 | 0.9360 | 0.9300 | 0.9756 |
| 0.0156 | 5.0 | 4170 | 0.1407 | 0.9337 | 0.9404 | 0.9370 | 0.9780 |
| 0.0062 | 6.0 | 5004 | 0.1522 | 0.9267 | 0.9410 | 0.9338 | 0.9774 |
| 0.0055 | 7.0 | 5838 | 0.1559 | 0.9322 | 0.9429 | 0.9375 | 0.9780 |
| 0.0024 | 8.0 | 6672 | 0.1733 | 0.9321 | 0.9438 | 0.9379 | 0.9779 |
| 0.0009 | 9.0 | 7506 | 0.1765 | 0.9347 | 0.9468 | 0.9407 | 0.9784 |
| 0.0002 | 10.0 | 8340 | 0.1763 | 0.9360 | 0.9472 | 0.9416 | 0.9789 |
### Framework versions
- Transformers 4.14.0.dev0
- Pytorch 1.10.0
- Datasets 1.16.1
- Tokenizers 0.10.3
|
patrickvonplaten/wav2vec2-xls-r-phoneme-300m-sv | patrickvonplaten | 2021-12-10T18:14:51Z | 46 | 1 | transformers | [
"transformers",
"pytorch",
"tensorboard",
"wav2vec2",
"automatic-speech-recognition",
"common_voice",
"generated_from_trainer",
"sv",
"dataset:common_voice",
"endpoints_compatible",
"region:us"
] | automatic-speech-recognition | 2022-03-02T23:29:05Z | ---
language:
- sv
tags:
- automatic-speech-recognition
- common_voice
- generated_from_trainer
datasets:
- common_voice
model-index:
- name: wav2vec2-xls-r-phoneme-300m-sv
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# Wav2vec2-xls-r-phoneme-300m-sv
**Note**: The tokenizer was created from the official Swedish phoneme vocabulary as defined here: https://github.com/microsoft/UniSpeech/blob/main/UniSpeech/examples/unispeech/data/sv/phonesMatches_reduced.json
One can simply download the file, rename it to `vocab.json` and load a `Wav2Vec2PhonemeCTCTokenizer.from_pretrained("./directory/with/vocab.json/")`.
This model is a fine-tuned version of [wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) on the COMMON_VOICE - SV-SE dataset.
It achieves the following results on the evaluation set:
- Loss: 0.9707
- PER: 0.2215
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 0.0005
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 2
- total_train_batch_size: 32
- total_eval_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 20.0
- mixed_precision_training: Native AMP
### Training results
See Tensorboard traces
### Framework versions
- Transformers 4.13.0.dev0
- Pytorch 1.8.1
- Datasets 1.16.2.dev0
- Tokenizers 0.10.3
|
patrickvonplaten/wav2vec2-xls-r-phoneme-300m-tr | patrickvonplaten | 2021-12-10T18:10:43Z | 22 | 4 | transformers | [
"transformers",
"pytorch",
"tensorboard",
"wav2vec2",
"automatic-speech-recognition",
"common_voice",
"generated_from_trainer",
"tr",
"dataset:common_voice",
"endpoints_compatible",
"region:us"
] | automatic-speech-recognition | 2022-03-02T23:29:05Z | ---
language:
- tr
tags:
- automatic-speech-recognition
- common_voice
- generated_from_trainer
datasets:
- common_voice
model-index:
- name: wav2vec2-xls-r-phoneme-300m-tr
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# Wav2vec2-xls-r-phoneme-300m-tr
This model is a fine-tuned version of [wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) on the COMMON_VOICE - TR dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6380
- PER: 0.1664
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 0.0005
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 2
- total_train_batch_size: 32
- total_eval_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 20.0
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss | PER |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 13.6687 | 0.92 | 100 | 12.4567 | 1.0 |
| 3.4219 | 1.83 | 200 | 3.4704 | 1.0 |
| 3.1846 | 2.75 | 300 | 3.2281 | 0.9935 |
| 2.0076 | 3.67 | 400 | 1.7415 | 0.5222 |
| 1.0244 | 4.59 | 500 | 1.0290 | 0.3323 |
| 0.7095 | 5.5 | 600 | 0.8424 | 0.2859 |
| 0.619 | 6.42 | 700 | 0.7389 | 0.2232 |
| 0.3541 | 7.34 | 800 | 0.7049 | 0.2043 |
| 0.2946 | 8.26 | 900 | 0.7065 | 0.2153 |
| 0.2868 | 9.17 | 1000 | 0.6840 | 0.2115 |
| 0.2245 | 10.09 | 1100 | 0.6714 | 0.1952 |
| 0.1394 | 11.01 | 1200 | 0.6864 | 0.1954 |
| 0.1288 | 11.93 | 1300 | 0.6696 | 0.2017 |
| 0.1568 | 12.84 | 1400 | 0.6468 | 0.1843 |
| 0.1269 | 13.76 | 1500 | 0.6736 | 0.1965 |
| 0.1101 | 14.68 | 1600 | 0.6689 | 0.1915 |
| 0.1388 | 15.6 | 1700 | 0.6690 | 0.1782 |
| 0.0739 | 16.51 | 1800 | 0.6364 | 0.1734 |
| 0.0897 | 17.43 | 1900 | 0.6480 | 0.1748 |
| 0.0795 | 18.35 | 2000 | 0.6356 | 0.1695 |
| 0.0823 | 19.27 | 2100 | 0.6382 | 0.1685 |
### Framework versions
- Transformers 4.13.0.dev0
- Pytorch 1.8.1
- Datasets 1.16.2.dev0
- Tokenizers 0.10.3
|
explosion/ko_udv25_koreankaist_trf | explosion | 2021-12-10T17:41:25Z | 2 | 0 | spacy | [
"spacy",
"token-classification",
"ko",
"license:cc-by-sa-4.0",
"model-index",
"region:us"
] | token-classification | 2022-03-02T23:29:05Z | ---
tags:
- spacy
- token-classification
language:
- ko
license: cc-by-sa-4.0
model-index:
- name: ko_udv25_koreankaist_trf
results:
- task:
name: TAG
type: token-classification
metrics:
- name: TAG (XPOS) Accuracy
type: accuracy
value: 0.8893108632
- task:
name: POS
type: token-classification
metrics:
- name: POS (UPOS) Accuracy
type: accuracy
value: 0.9652266793
- task:
name: MORPH
type: token-classification
metrics:
- name: Morph (UFeats) Accuracy
type: accuracy
value: 1.0
- task:
name: LEMMA
type: token-classification
metrics:
- name: Lemma Accuracy
type: accuracy
value: 0.9450905926
- task:
name: UNLABELED_DEPENDENCIES
type: token-classification
metrics:
- name: Unlabeled Attachment Score (UAS)
type: f_score
value: 0.894835346
- task:
name: LABELED_DEPENDENCIES
type: token-classification
metrics:
- name: Labeled Attachment Score (LAS)
type: f_score
value: 0.8717525957
- task:
name: SENTS
type: token-classification
metrics:
- name: Sentences F-Score
type: f_score
value: 1.0
---
UD v2.5 benchmarking pipeline for UD_Korean-Kaist
| Feature | Description |
| --- | --- |
| **Name** | `ko_udv25_koreankaist_trf` |
| **Version** | `0.0.1` |
| **spaCy** | `>=3.2.1,<3.3.0` |
| **Default Pipeline** | `experimental_char_ner_tokenizer`, `transformer`, `tagger`, `morphologizer`, `parser`, `experimental_edit_tree_lemmatizer` |
| **Components** | `experimental_char_ner_tokenizer`, `transformer`, `senter`, `tagger`, `morphologizer`, `parser`, `experimental_edit_tree_lemmatizer` |
| **Vectors** | 0 keys, 0 unique vectors (0 dimensions) |
| **Sources** | [Universal Dependencies v2.5](https://lindat.mff.cuni.cz/repository/xmlui/handle/11234/1-3105) (Zeman, Daniel; et al.) |
| **License** | `CC BY-SA 4.0` |
| **Author** | [Explosion](https://explosion.ai) |
### Label Scheme
<details>
<summary>View label scheme (5329 labels for 6 components)</summary>
| Component | Labels |
| --- | --- |
| **`experimental_char_ner_tokenizer`** | `TOKEN` |
| **`senter`** | `I`, `S` |
| **`tagger`** | `ecs`, `etm`, `f`, `f+f+jcj`, `f+f+jcs`, `f+f+jct`, `f+f+jxt`, `f+jca`, `f+jca+jp+ecc`, `f+jca+jp+ep+ef`, `f+jca+jxc`, `f+jca+jxc+jcm`, `f+jca+jxt`, `f+jcj`, `f+jcm`, `f+jco`, `f+jcs`, `f+jct`, `f+jct+jcm`, `f+jp+ef`, `f+jp+ep+ef`, `f+jp+etm`, `f+jxc`, `f+jxt`, `f+ncn`, `f+ncn+jcm`, `f+ncn+jcs`, `f+ncn+jp+ecc`, `f+ncn+jxt`, `f+ncpa+jcm`, `f+npp+jcs`, `f+nq`, `f+xsn`, `f+xsn+jco`, `f+xsn+jxt`, `ii`, `jca`, `jca+jcm`, `jca+jxc`, `jca+jxt`, `jcc`, `jcj`, `jcm`, `jco`, `jcr`, `jcr+jxc`, `jcs`, `jct`, `jct+jcm`, `jct+jxt`, `jp+ecc`, `jp+ecs`, `jp+ef`, `jp+ef+jcr`, `jp+ef+jcr+jxc`, `jp+ep+ecs`, `jp+ep+ef`, `jp+ep+etm`, `jp+ep+etn`, `jp+etm`, `jp+etn`, `jp+etn+jco`, `jp+etn+jxc`, `jxc`, `jxc+jca`, `jxc+jco`, `jxc+jcs`, `jxt`, `mad`, `mad+jxc`, `mad+jxt`, `mag`, `mag+jca`, `mag+jcm`, `mag+jcs`, `mag+jp+ef+jcr`, `mag+jxc`, `mag+jxc+jxc`, `mag+jxt`, `mag+xsn`, `maj`, `maj+jxc`, `maj+jxt`, `mma`, `mmd`, `nbn`, `nbn+jca`, `nbn+jca+jcj`, `nbn+jca+jcm`, `nbn+jca+jp+ef`, `nbn+jca+jxc`, `nbn+jca+jxt`, `nbn+jcc`, `nbn+jcj`, `nbn+jcm`, `nbn+jco`, `nbn+jcr`, `nbn+jcs`, `nbn+jct`, `nbn+jct+jcm`, `nbn+jct+jxt`, `nbn+jp+ecc`, `nbn+jp+ecs`, `nbn+jp+ecs+jca`, `nbn+jp+ecs+jcm`, `nbn+jp+ecs+jco`, `nbn+jp+ecs+jxc`, `nbn+jp+ecs+jxt`, `nbn+jp+ecx`, `nbn+jp+ef`, `nbn+jp+ef+jca`, `nbn+jp+ef+jco`, `nbn+jp+ef+jcr`, `nbn+jp+ef+jcr+jxc`, `nbn+jp+ef+jcr+jxt`, `nbn+jp+ef+jcs`, `nbn+jp+ef+jxc`, `nbn+jp+ef+jxc+jco`, `nbn+jp+ef+jxf`, `nbn+jp+ef+jxt`, `nbn+jp+ep+ecc`, `nbn+jp+ep+ecs`, `nbn+jp+ep+ecs+jxc`, `nbn+jp+ep+ef`, `nbn+jp+ep+ef+jcr`, `nbn+jp+ep+etm`, `nbn+jp+ep+etn`, `nbn+jp+ep+etn+jco`, `nbn+jp+ep+etn+jcs`, `nbn+jp+etm`, `nbn+jp+etn`, `nbn+jp+etn+jca`, `nbn+jp+etn+jca+jxt`, `nbn+jp+etn+jco`, `nbn+jp+etn+jcs`, `nbn+jp+etn+jxc`, `nbn+jp+etn+jxt`, `nbn+jxc`, `nbn+jxc+jca`, `nbn+jxc+jca+jxc`, `nbn+jxc+jca+jxt`, `nbn+jxc+jcc`, `nbn+jxc+jcm`, `nbn+jxc+jco`, `nbn+jxc+jcs`, `nbn+jxc+jp+ef`, `nbn+jxc+jxc`, `nbn+jxc+jxt`, `nbn+jxt`, `nbn+nbn`, `nbn+nbn+jp+ef`, `nbn+xsm+ecs`, `nbn+xsm+ef`, `nbn+xsm+ep+ef`, `nbn+xsm+ep+ef+jcr`, `nbn+xsm+etm`, `nbn+xsn`, `nbn+xsn+jca`, `nbn+xsn+jca+jp+ef+jcr`, `nbn+xsn+jca+jxc`, `nbn+xsn+jca+jxt`, `nbn+xsn+jcm`, `nbn+xsn+jco`, `nbn+xsn+jcs`, `nbn+xsn+jct`, `nbn+xsn+jp+ecc`, `nbn+xsn+jp+ecs`, `nbn+xsn+jp+ef`, `nbn+xsn+jp+ef+jcr`, `nbn+xsn+jp+ep+ef`, `nbn+xsn+jxc`, `nbn+xsn+jxt`, `nbn+xsv+etm`, `nbu`, `nbu+jca`, `nbu+jca+jxc`, `nbu+jca+jxt`, `nbu+jcc`, `nbu+jcc+jxc`, `nbu+jcj`, `nbu+jcm`, `nbu+jco`, `nbu+jcs`, `nbu+jct`, `nbu+jct+jxc`, `nbu+jp+ecc`, `nbu+jp+ecs`, `nbu+jp+ef`, `nbu+jp+ef+jcr`, `nbu+jp+ef+jxc`, `nbu+jp+ep+ecc`, `nbu+jp+ep+ecs`, `nbu+jp+ep+ef`, `nbu+jp+ep+ef+jcr`, `nbu+jp+ep+etm`, `nbu+jp+ep+etn+jco`, `nbu+jp+etm`, `nbu+jxc`, `nbu+jxc+jca`, `nbu+jxc+jcs`, `nbu+jxc+jp+ef`, `nbu+jxc+jp+ep+ef`, `nbu+jxc+jxt`, `nbu+jxt`, `nbu+ncn`, `nbu+ncn+jca`, `nbu+ncn+jcm`, `nbu+xsn`, `nbu+xsn+jca`, `nbu+xsn+jca+jxc`, `nbu+xsn+jca+jxt`, `nbu+xsn+jcm`, `nbu+xsn+jco`, `nbu+xsn+jcs`, `nbu+xsn+jp+ecs`, `nbu+xsn+jp+ep+ef`, `nbu+xsn+jxc`, `nbu+xsn+jxc+jxt`, `nbu+xsn+jxt`, `nbu+xsv+ecc`, `nbu+xsv+etm`, `ncn`, `ncn+f+ncpa+jco`, `ncn+jca`, `ncn+jca+jca`, `ncn+jca+jcc`, `ncn+jca+jcj`, `ncn+jca+jcm`, `ncn+jca+jcs`, `ncn+jca+jct`, `ncn+jca+jp+ecc`, `ncn+jca+jp+ecs`, `ncn+jca+jp+ef`, `ncn+jca+jp+ep+ef`, `ncn+jca+jp+etm`, `ncn+jca+jp+etn+jxt`, `ncn+jca+jxc`, `ncn+jca+jxc+jcc`, `ncn+jca+jxc+jcm`, `ncn+jca+jxc+jxc`, `ncn+jca+jxc+jxt`, `ncn+jca+jxt`, `ncn+jcc`, `ncn+jcc+jxc`, `ncn+jcj`, `ncn+jcj+jxt`, `ncn+jcm`, `ncn+jco`, `ncn+jcr`, `ncn+jcr+jxc`, `ncn+jcs`, `ncn+jcs+jxt`, `ncn+jct`, `ncn+jct+jcm`, `ncn+jct+jxc`, `ncn+jct+jxt`, `ncn+jcv`, `ncn+jp+ecc`, `ncn+jp+ecc+jct`, `ncn+jp+ecc+jxc`, `ncn+jp+ecs`, `ncn+jp+ecs+jcm`, `ncn+jp+ecs+jco`, `ncn+jp+ecs+jxc`, `ncn+jp+ecs+jxt`, `ncn+jp+ecx`, `ncn+jp+ef`, `ncn+jp+ef+jca`, `ncn+jp+ef+jcm`, `ncn+jp+ef+jco`, `ncn+jp+ef+jcr`, `ncn+jp+ef+jcr+jxc`, `ncn+jp+ef+jcr+jxt`, `ncn+jp+ef+jp+etm`, `ncn+jp+ef+jxc`, `ncn+jp+ef+jxf`, `ncn+jp+ef+jxt`, `ncn+jp+ep+ecc`, `ncn+jp+ep+ecs`, `ncn+jp+ep+ecs+jxc`, `ncn+jp+ep+ecx`, `ncn+jp+ep+ef`, `ncn+jp+ep+ef+jcr`, `ncn+jp+ep+ef+jcr+jxc`, `ncn+jp+ep+ef+jxc`, `ncn+jp+ep+ef+jxf`, `ncn+jp+ep+ef+jxt`, `ncn+jp+ep+ep+etm`, `ncn+jp+ep+etm`, `ncn+jp+ep+etn`, `ncn+jp+ep+etn+jca`, `ncn+jp+ep+etn+jca+jxc`, `ncn+jp+ep+etn+jco`, `ncn+jp+ep+etn+jcs`, `ncn+jp+ep+etn+jxt`, `ncn+jp+etm`, `ncn+jp+etn`, `ncn+jp+etn+jca`, `ncn+jp+etn+jca+jxc`, `ncn+jp+etn+jca+jxt`, `ncn+jp+etn+jco`, `ncn+jp+etn+jcs`, `ncn+jp+etn+jct`, `ncn+jp+etn+jxc`, `ncn+jp+etn+jxt`, `ncn+jxc`, `ncn+jxc+jca`, `ncn+jxc+jca+jxc`, `ncn+jxc+jca+jxt`, `ncn+jxc+jcc`, `ncn+jxc+jcm`, `ncn+jxc+jco`, `ncn+jxc+jcs`, `ncn+jxc+jct+jxt`, `ncn+jxc+jp+ef`, `ncn+jxc+jp+ef+jcr`, `ncn+jxc+jp+ep+ecs`, `ncn+jxc+jp+ep+ef`, `ncn+jxc+jp+etm`, `ncn+jxc+jxc`, `ncn+jxc+jxt`, `ncn+jxt`, `ncn+jxt+jcm`, `ncn+jxt+jxc`, `ncn+nbn`, `ncn+nbn+jca`, `ncn+nbn+jcm`, `ncn+nbn+jcs`, `ncn+nbn+jp+ecc`, `ncn+nbn+jp+ep+ef`, `ncn+nbn+jxc`, `ncn+nbn+jxt`, `ncn+nbu`, `ncn+nbu+jca`, `ncn+nbu+jcm`, `ncn+nbu+jco`, `ncn+nbu+jp+ef`, `ncn+nbu+jxc`, `ncn+nbu+ncn`, `ncn+ncn`, `ncn+ncn+jca`, `ncn+ncn+jca+jcc`, `ncn+ncn+jca+jcm`, `ncn+ncn+jca+jxc`, `ncn+ncn+jca+jxc+jcm`, `ncn+ncn+jca+jxc+jxc`, `ncn+ncn+jca+jxt`, `ncn+ncn+jcc`, `ncn+ncn+jcj`, `ncn+ncn+jcm`, `ncn+ncn+jco`, `ncn+ncn+jcr`, `ncn+ncn+jcs`, `ncn+ncn+jct`, `ncn+ncn+jct+jcm`, `ncn+ncn+jct+jxc`, `ncn+ncn+jct+jxt`, `ncn+ncn+jp+ecc`, `ncn+ncn+jp+ecs`, `ncn+ncn+jp+ef`, `ncn+ncn+jp+ef+jcm`, `ncn+ncn+jp+ef+jcr`, `ncn+ncn+jp+ef+jcs`, `ncn+ncn+jp+ep+ecc`, `ncn+ncn+jp+ep+ecs`, `ncn+ncn+jp+ep+ef`, `ncn+ncn+jp+ep+ef+jcr`, `ncn+ncn+jp+ep+ep+etm`, `ncn+ncn+jp+ep+etm`, `ncn+ncn+jp+ep+etn`, `ncn+ncn+jp+etm`, `ncn+ncn+jp+etn`, `ncn+ncn+jp+etn+jca`, `ncn+ncn+jp+etn+jco`, `ncn+ncn+jp+etn+jxc`, `ncn+ncn+jxc`, `ncn+ncn+jxc+jca`, `ncn+ncn+jxc+jcc`, `ncn+ncn+jxc+jcm`, `ncn+ncn+jxc+jco`, `ncn+ncn+jxc+jcs`, `ncn+ncn+jxc+jxc`, `ncn+ncn+jxt`, `ncn+ncn+nbn`, `ncn+ncn+ncn`, `ncn+ncn+ncn+jca`, `ncn+ncn+ncn+jca+jcm`, `ncn+ncn+ncn+jca+jxt`, `ncn+ncn+ncn+jcj`, `ncn+ncn+ncn+jcm`, `ncn+ncn+ncn+jco`, `ncn+ncn+ncn+jcs`, `ncn+ncn+ncn+jct+jxt`, `ncn+ncn+ncn+jp+etn+jxc`, `ncn+ncn+ncn+jxt`, `ncn+ncn+ncn+ncn+jca`, `ncn+ncn+ncn+ncn+jca+jxt`, `ncn+ncn+ncn+ncn+jco`, `ncn+ncn+ncn+xsn+jp+etm`, `ncn+ncn+ncpa`, `ncn+ncn+ncpa+jca`, `ncn+ncn+ncpa+jcm`, `ncn+ncn+ncpa+jco`, `ncn+ncn+ncpa+jcs`, `ncn+ncn+ncpa+jxc`, `ncn+ncn+ncpa+jxt`, `ncn+ncn+ncpa+ncn`, `ncn+ncn+ncpa+ncn+jca`, `ncn+ncn+ncpa+ncn+jcj`, `ncn+ncn+ncpa+ncn+jcm`, `ncn+ncn+ncpa+ncn+jxt`, `ncn+ncn+xsn`, `ncn+ncn+xsn+jca`, `ncn+ncn+xsn+jca+jxt`, `ncn+ncn+xsn+jcj`, `ncn+ncn+xsn+jcm`, `ncn+ncn+xsn+jco`, `ncn+ncn+xsn+jcs`, `ncn+ncn+xsn+jct`, `ncn+ncn+xsn+jp+ecs`, `ncn+ncn+xsn+jp+ep+ef`, `ncn+ncn+xsn+jp+etm`, `ncn+ncn+xsn+jxc`, `ncn+ncn+xsn+jxc+jcs`, `ncn+ncn+xsn+jxt`, `ncn+ncn+xsv+ecc`, `ncn+ncn+xsv+etm`, `ncn+ncpa`, `ncn+ncpa+jca`, `ncn+ncpa+jca+jcm`, `ncn+ncpa+jca+jxc`, `ncn+ncpa+jca+jxt`, `ncn+ncpa+jcc`, `ncn+ncpa+jcj`, `ncn+ncpa+jcm`, `ncn+ncpa+jco`, `ncn+ncpa+jcr`, `ncn+ncpa+jcs`, `ncn+ncpa+jct`, `ncn+ncpa+jct+jcm`, `ncn+ncpa+jct+jxt`, `ncn+ncpa+jp+ecc`, `ncn+ncpa+jp+ecc+jxc`, `ncn+ncpa+jp+ecs`, `ncn+ncpa+jp+ecs+jxc`, `ncn+ncpa+jp+ef`, `ncn+ncpa+jp+ef+jcr`, `ncn+ncpa+jp+ef+jcr+jxc`, `ncn+ncpa+jp+ep+ef`, `ncn+ncpa+jp+ep+etm`, `ncn+ncpa+jp+ep+etn`, `ncn+ncpa+jp+etm`, `ncn+ncpa+jxc`, `ncn+ncpa+jxc+jca+jxc`, `ncn+ncpa+jxc+jco`, `ncn+ncpa+jxc+jcs`, `ncn+ncpa+jxt`, `ncn+ncpa+nbn+jcs`, `ncn+ncpa+ncn`, `ncn+ncpa+ncn+jca`, `ncn+ncpa+ncn+jca+jcm`, `ncn+ncpa+ncn+jca+jxc`, `ncn+ncpa+ncn+jca+jxt`, `ncn+ncpa+ncn+jcj`, `ncn+ncpa+ncn+jcm`, `ncn+ncpa+ncn+jco`, `ncn+ncpa+ncn+jcs`, `ncn+ncpa+ncn+jct`, `ncn+ncpa+ncn+jct+jcm`, `ncn+ncpa+ncn+jp+ef+jcr`, `ncn+ncpa+ncn+jp+ep+etm`, `ncn+ncpa+ncn+jxc`, `ncn+ncpa+ncn+jxt`, `ncn+ncpa+ncn+xsn+jcm`, `ncn+ncpa+ncn+xsn+jxt`, `ncn+ncpa+ncpa`, `ncn+ncpa+ncpa+jca`, `ncn+ncpa+ncpa+jcj`, `ncn+ncpa+ncpa+jcm`, `ncn+ncpa+ncpa+jco`, `ncn+ncpa+ncpa+jcs`, `ncn+ncpa+ncpa+jp+ep+ef`, `ncn+ncpa+ncpa+jxt`, `ncn+ncpa+ncpa+ncn`, `ncn+ncpa+xsn`, `ncn+ncpa+xsn+jcm`, `ncn+ncpa+xsn+jco`, `ncn+ncpa+xsn+jcs`, `ncn+ncpa+xsn+jp+ecc`, `ncn+ncpa+xsn+jp+etm`, `ncn+ncpa+xsn+jxt`, `ncn+ncpa+xsv+ecc`, `ncn+ncpa+xsv+ecs`, `ncn+ncpa+xsv+ecx`, `ncn+ncpa+xsv+ecx+px+etm`, `ncn+ncpa+xsv+ef`, `ncn+ncpa+xsv+ef+jcm`, `ncn+ncpa+xsv+ef+jcr`, `ncn+ncpa+xsv+etm`, `ncn+ncpa+xsv+etn`, `ncn+ncpa+xsv+etn+jco`, `ncn+ncps`, `ncn+ncps+jca`, `ncn+ncps+jcm`, `ncn+ncps+jco`, `ncn+ncps+jcs`, `ncn+ncps+jp+ecs`, `ncn+ncps+jxt`, `ncn+ncps+ncn+jcs`, `ncn+ncps+ncpa+ncn`, `ncn+ncps+xsm+ef`, `ncn+ncps+xsm+etm`, `ncn+nnc`, `ncn+nnc+jcs`, `ncn+nnc+nnc`, `ncn+nno`, `ncn+nq`, `ncn+nq+jca`, `ncn+nq+jca+jxc`, `ncn+nq+jca+jxt`, `ncn+nq+jcm`, `ncn+nq+jcs`, `ncn+nq+jxt`, `ncn+nq+ncn+jcm`, `ncn+nq+ncn+xsn+jcs`, `ncn+nq+xsn+jxt`, `ncn+xsa`, `ncn+xsm+ecc`, `ncn+xsm+ecs`, `ncn+xsm+ecs+jxc`, `ncn+xsm+ecx`, `ncn+xsm+ecx+jcs`, `ncn+xsm+ecx+px+ep+etm`, `ncn+xsm+ef`, `ncn+xsm+ef+jcr`, `ncn+xsm+etm`, `ncn+xsm+etn+jcm`, `ncn+xsm+etn+jp+ef+jcr`, `ncn+xsn`, `ncn+xsn+jca`, `ncn+xsn+jca+jcj`, `ncn+xsn+jca+jxc`, `ncn+xsn+jca+jxc+jxc`, `ncn+xsn+jca+jxt`, `ncn+xsn+jcc`, `ncn+xsn+jcj`, `ncn+xsn+jcm`, `ncn+xsn+jco`, `ncn+xsn+jcs`, `ncn+xsn+jcs+jxt`, `ncn+xsn+jct`, `ncn+xsn+jct+jcm`, `ncn+xsn+jct+jxc`, `ncn+xsn+jct+jxt`, `ncn+xsn+jcv`, `ncn+xsn+jp+ecc`, `ncn+xsn+jp+ecc+jxc`, `ncn+xsn+jp+ecs`, `ncn+xsn+jp+ecs+jxc`, `ncn+xsn+jp+ecx`, `ncn+xsn+jp+ecx+jxt`, `ncn+xsn+jp+ef`, `ncn+xsn+jp+ef+jca`, `ncn+xsn+jp+ef+jcr`, `ncn+xsn+jp+ep+ecc`, `ncn+xsn+jp+ep+ecs`, `ncn+xsn+jp+ep+ef`, `ncn+xsn+jp+ep+ef+jcr`, `ncn+xsn+jp+ep+etm`, `ncn+xsn+jp+ep+etn`, `ncn+xsn+jp+etm`, `ncn+xsn+jp+etn`, `ncn+xsn+jp+etn+jca`, `ncn+xsn+jp+etn+jca+jxt`, `ncn+xsn+jp+etn+jxc`, `ncn+xsn+jp+etn+jxt`, `ncn+xsn+jxc`, `ncn+xsn+jxc+jcm`, `ncn+xsn+jxc+jco`, `ncn+xsn+jxc+jcs`, `ncn+xsn+jxc+jxc`, `ncn+xsn+jxt`, `ncn+xsn+ncn+jca`, `ncn+xsn+ncn+jca+jxt`, `ncn+xsn+ncn+jcs`, `ncn+xsn+ncpa+jca`, `ncn+xsn+xsn`, `ncn+xsn+xsn+jca`, `ncn+xsn+xsn+jcm`, `ncn+xsn+xsn+jp+ecs`, `ncn+xsn+xsn+jxc`, `ncn+xsn+xsn+jxc+jcc`, `ncn+xsn+xsn+jxc+jcs`, `ncn+xsn+xsv+ecc`, `ncn+xsn+xsv+etm`, `ncn+xsn+xsv+etn`, `ncn+xsv+ecc`, `ncn+xsv+ecs`, `ncn+xsv+ecx`, `ncn+xsv+ef`, `ncn+xsv+ep+ecs`, `ncn+xsv+ep+ef`, `ncn+xsv+ep+etm`, `ncn+xsv+etm`, `ncn+xsv+etn+jca`, `ncpa`, `ncpa+jca`, `ncpa+jca+jcm`, `ncpa+jca+jct`, `ncpa+jca+jp+ecs`, `ncpa+jca+jp+ef`, `ncpa+jca+jp+ep+ef`, `ncpa+jca+jxc`, `ncpa+jca+jxc+jcm`, `ncpa+jca+jxc+jxc`, `ncpa+jca+jxc+jxt`, `ncpa+jca+jxt`, `ncpa+jcc`, `ncpa+jcj`, `ncpa+jcm`, `ncpa+jco`, `ncpa+jcr`, `ncpa+jcs`, `ncpa+jct`, `ncpa+jct+jcm`, `ncpa+jct+jxc`, `ncpa+jct+jxt`, `ncpa+jp+ecc`, `ncpa+jp+ecs`, `ncpa+jp+ecs+jxc`, `ncpa+jp+ecx`, `ncpa+jp+ecx+jxc`, `ncpa+jp+ef`, `ncpa+jp+ef+jca`, `ncpa+jp+ef+jco`, `ncpa+jp+ef+jcr`, `ncpa+jp+ef+jxc`, `ncpa+jp+ef+jxf`, `ncpa+jp+ep+ecc`, `ncpa+jp+ep+ecs`, `ncpa+jp+ep+ef`, `ncpa+jp+ep+ef+jca`, `ncpa+jp+ep+ef+jcr`, `ncpa+jp+ep+ef+jxt`, `ncpa+jp+ep+etm`, `ncpa+jp+ep+etn+jca`, `ncpa+jp+ep+etn+jca+jxc`, `ncpa+jp+ep+etn+jcs`, `ncpa+jp+etm`, `ncpa+jp+etn`, `ncpa+jp+etn+jca`, `ncpa+jp+etn+jca+jxt`, `ncpa+jp+etn+jco`, `ncpa+jp+etn+jcs`, `ncpa+jp+etn+jxc`, `ncpa+jp+etn+jxt`, `ncpa+jxc`, `ncpa+jxc+jca`, `ncpa+jxc+jca+jxc`, `ncpa+jxc+jca+jxt`, `ncpa+jxc+jcc`, `ncpa+jxc+jcm`, `ncpa+jxc+jco`, `ncpa+jxc+jcs`, `ncpa+jxc+jxc`, `ncpa+jxt`, `ncpa+jxt+jxc`, `ncpa+jxt+jxt`, `ncpa+nbn+jca`, `ncpa+nbn+jct`, `ncpa+nbn+jp+ef`, `ncpa+nbn+jp+ep+ef`, `ncpa+nbn+jp+etm`, `ncpa+nbn+jxc+jcc`, `ncpa+nbu+jca`, `ncpa+ncn`, `ncpa+ncn+jca`, `ncpa+ncn+jca+jcm`, `ncpa+ncn+jca+jxc`, `ncpa+ncn+jca+jxc+jcm`, `ncpa+ncn+jca+jxt`, `ncpa+ncn+jcc`, `ncpa+ncn+jcj`, `ncpa+ncn+jcm`, `ncpa+ncn+jco`, `ncpa+ncn+jcr`, `ncpa+ncn+jcs`, `ncpa+ncn+jct`, `ncpa+ncn+jct+jcm`, `ncpa+ncn+jct+jxc`, `ncpa+ncn+jp+ecc`, `ncpa+ncn+jp+ecs`, `ncpa+ncn+jp+ef`, `ncpa+ncn+jp+ef+jcr`, `ncpa+ncn+jp+ef+jcr+jxc`, `ncpa+ncn+jp+ep+ef`, `ncpa+ncn+jp+ep+etm`, `ncpa+ncn+jp+etm`, `ncpa+ncn+jp+etn+jca+jxt`, `ncpa+ncn+jp+etn+jco`, `ncpa+ncn+jp+etn+jxc`, `ncpa+ncn+jxc`, `ncpa+ncn+jxc+jcc`, `ncpa+ncn+jxc+jco`, `ncpa+ncn+jxt`, `ncpa+ncn+nbn`, `ncpa+ncn+ncn`, `ncpa+ncn+ncn+jca`, `ncpa+ncn+ncn+jca+jxt`, `ncpa+ncn+ncn+jcm`, `ncpa+ncn+ncn+jco`, `ncpa+ncn+ncn+jcs`, `ncpa+ncn+ncn+jp+ep+ef`, `ncpa+ncn+ncn+jp+etm`, `ncpa+ncn+ncn+jxt`, `ncpa+ncn+ncn+ncn`, `ncpa+ncn+ncn+xsn+jxt`, `ncpa+ncn+ncpa`, `ncpa+ncn+ncpa+jca`, `ncpa+ncn+ncpa+jcj`, `ncpa+ncn+ncpa+jco`, `ncpa+ncn+ncpa+ncn`, `ncpa+ncn+ncpa+ncn+jco`, `ncpa+ncn+xsn`, `ncpa+ncn+xsn+jca`, `ncpa+ncn+xsn+jca+jxc`, `ncpa+ncn+xsn+jcj`, `ncpa+ncn+xsn+jcm`, `ncpa+ncn+xsn+jco`, `ncpa+ncn+xsn+jcs`, `ncpa+ncn+xsn+jct`, `ncpa+ncn+xsn+jp+ep+ef`, `ncpa+ncn+xsn+jp+etm`, `ncpa+ncn+xsn+jxt`, `ncpa+ncpa`, `ncpa+ncpa+jca`, `ncpa+ncpa+jca+jcm`, `ncpa+ncpa+jca+jxc`, `ncpa+ncpa+jca+jxt`, `ncpa+ncpa+jcj`, `ncpa+ncpa+jcm`, `ncpa+ncpa+jco`, `ncpa+ncpa+jcs`, `ncpa+ncpa+jct`, `ncpa+ncpa+jct+jxc`, `ncpa+ncpa+jct+jxt`, `ncpa+ncpa+jp+ecc`, `ncpa+ncpa+jp+ecs`, `ncpa+ncpa+jp+ecx`, `ncpa+ncpa+jp+ef`, `ncpa+ncpa+jp+ef+jca`, `ncpa+ncpa+jp+ef+jcr`, `ncpa+ncpa+jp+ef+jcr+jxc`, `ncpa+ncpa+jp+ep+ecs`, `ncpa+ncpa+jp+etm`, `ncpa+ncpa+jxc`, `ncpa+ncpa+jxt`, `ncpa+ncpa+ncn`, `ncpa+ncpa+ncn+jca`, `ncpa+ncpa+ncn+jcj`, `ncpa+ncpa+ncn+jcm`, `ncpa+ncpa+ncn+jco`, `ncpa+ncpa+ncn+jcs`, `ncpa+ncpa+ncn+jxt`, `ncpa+ncpa+ncpa+jcm`, `ncpa+ncpa+ncpa+jcs`, `ncpa+ncpa+ncpa+ncpa+jco`, `ncpa+ncpa+xsn`, `ncpa+ncpa+xsn+jca`, `ncpa+ncpa+xsn+jcj`, `ncpa+ncpa+xsn+jco`, `ncpa+ncpa+xsn+jcs`, `ncpa+ncpa+xsn+jxc`, `ncpa+ncpa+xsn+jxt`, `ncpa+ncpa+xsv+ecc`, `ncpa+ncpa+xsv+ecs`, `ncpa+ncpa+xsv+ef`, `ncpa+ncpa+xsv+ep+ef`, `ncpa+ncpa+xsv+ep+etm`, `ncpa+ncpa+xsv+etm`, `ncpa+ncpa+xsv+etn+jca`, `ncpa+ncps`, `ncpa+ncps+jca`, `ncpa+ncps+jcm`, `ncpa+ncps+jco`, `ncpa+ncps+jcs`, `ncpa+ncps+jxt`, `ncpa+ncps+xsm+etm`, `ncpa+nq+jca`, `ncpa+xsa`, `ncpa+xsn`, `ncpa+xsn+jca`, `ncpa+xsn+jca+jxc`, `ncpa+xsn+jca+jxt`, `ncpa+xsn+jcc`, `ncpa+xsn+jcj`, `ncpa+xsn+jcm`, `ncpa+xsn+jco`, `ncpa+xsn+jcs`, `ncpa+xsn+jct`, `ncpa+xsn+jp+ecc`, `ncpa+xsn+jp+ecs`, `ncpa+xsn+jp+ecs+jxc`, `ncpa+xsn+jp+ecx`, `ncpa+xsn+jp+ecx+jxt`, `ncpa+xsn+jp+ef`, `ncpa+xsn+jp+ef+jcr`, `ncpa+xsn+jp+ef+jxf`, `ncpa+xsn+jp+ep+ecc`, `ncpa+xsn+jp+ep+ef`, `ncpa+xsn+jp+ep+ef+jco`, `ncpa+xsn+jp+ep+ef+jcr`, `ncpa+xsn+jp+etm`, `ncpa+xsn+jp+etn`, `ncpa+xsn+jp+etn+jco`, `ncpa+xsn+jp+etn+jxc`, `ncpa+xsn+jxc`, `ncpa+xsn+jxt`, `ncpa+xsv+ecc`, `ncpa+xsv+ecc+jcm`, `ncpa+xsv+ecc+jxc`, `ncpa+xsv+ecc+jxt`, `ncpa+xsv+ecs`, `ncpa+xsv+ecs+jca`, `ncpa+xsv+ecs+jco`, `ncpa+xsv+ecs+jp+ef`, `ncpa+xsv+ecs+jxc`, `ncpa+xsv+ecs+jxc+jxt`, `ncpa+xsv+ecs+jxt`, `ncpa+xsv+ecx`, `ncpa+xsv+ecx+jco`, `ncpa+xsv+ecx+jxc`, `ncpa+xsv+ecx+jxt`, `ncpa+xsv+ecx+px+ecc`, `ncpa+xsv+ecx+px+ecs`, `ncpa+xsv+ecx+px+ecx`, `ncpa+xsv+ecx+px+ecx+jxc`, `ncpa+xsv+ecx+px+ecx+px+ecs`, `ncpa+xsv+ecx+px+ef`, `ncpa+xsv+ecx+px+ef+jcr`, `ncpa+xsv+ecx+px+ep+ecc`, `ncpa+xsv+ecx+px+ep+ecs`, `ncpa+xsv+ecx+px+ep+ef`, `ncpa+xsv+ecx+px+ep+ef+jcr`, `ncpa+xsv+ecx+px+ep+etm`, `ncpa+xsv+ecx+px+ep+etn+jca`, `ncpa+xsv+ecx+px+ep+etn+jco`, `ncpa+xsv+ecx+px+ep+etn+jxc`, `ncpa+xsv+ecx+px+ep+etn+jxt`, `ncpa+xsv+ecx+px+etm`, `ncpa+xsv+ecx+px+etn`, `ncpa+xsv+ecx+px+etn+jca`, `ncpa+xsv+ecx+px+etn+jco`, `ncpa+xsv+ef`, `ncpa+xsv+ef+jca`, `ncpa+xsv+ef+jcj`, `ncpa+xsv+ef+jcm`, `ncpa+xsv+ef+jco`, `ncpa+xsv+ef+jcr`, `ncpa+xsv+ef+jcr+jxt`, `ncpa+xsv+ef+jcs`, `ncpa+xsv+ef+jxc`, `ncpa+xsv+ef+jxf`, `ncpa+xsv+ef+jxt`, `ncpa+xsv+ep+ecc`, `ncpa+xsv+ep+ecs`, `ncpa+xsv+ep+ecs+jco`, `ncpa+xsv+ep+ecs+jxc`, `ncpa+xsv+ep+ecs+jxt`, `ncpa+xsv+ep+ecx`, `ncpa+xsv+ep+ecx+jxc`, `ncpa+xsv+ep+ef`, `ncpa+xsv+ep+ef+jca`, `ncpa+xsv+ep+ef+jca+jxt`, `ncpa+xsv+ep+ef+jco`, `ncpa+xsv+ep+ef+jcr`, `ncpa+xsv+ep+ef+jcr+jxc`, `ncpa+xsv+ep+ef+jcr+jxc+jxt`, `ncpa+xsv+ep+ef+jxc`, `ncpa+xsv+ep+ef+jxf`, `ncpa+xsv+ep+ef+jxt`, `ncpa+xsv+ep+ep+ecs`, `ncpa+xsv+ep+ep+ef`, `ncpa+xsv+ep+etm`, `ncpa+xsv+ep+etn`, `ncpa+xsv+ep+etn+jca`, `ncpa+xsv+ep+etn+jca+jxc`, `ncpa+xsv+ep+etn+jcj`, `ncpa+xsv+ep+etn+jco`, `ncpa+xsv+ep+etn+jcs`, `ncpa+xsv+ep+etn+jxt`, `ncpa+xsv+etm`, `ncpa+xsv+etn`, `ncpa+xsv+etn+jca`, `ncpa+xsv+etn+jca+jxc`, `ncpa+xsv+etn+jca+jxt`, `ncpa+xsv+etn+jco`, `ncpa+xsv+etn+jcs`, `ncpa+xsv+etn+jct`, `ncpa+xsv+etn+jxc`, `ncpa+xsv+etn+jxc+jcm`, `ncpa+xsv+etn+jxc+jcs`, `ncpa+xsv+etn+jxc+jxc`, `ncpa+xsv+etn+jxc+jxt`, `ncpa+xsv+etn+jxt`, `ncps`, `ncps+jca`, `ncps+jca+jcm`, `ncps+jca+jxc`, `ncps+jca+jxc+jcm`, `ncps+jcc`, `ncps+jcj`, `ncps+jcm`, `ncps+jco`, `ncps+jcs`, `ncps+jct`, `ncps+jct+jcm`, `ncps+jct+jxt`, `ncps+jp+ecc`, `ncps+jp+ecs`, `ncps+jp+ecs+jxt`, `ncps+jp+ef`, `ncps+jp+ef+jcr`, `ncps+jp+ep+ef`, `ncps+jp+ep+etn`, `ncps+jp+etm`, `ncps+jp+etn+jcs`, `ncps+jp+etn+jxt`, `ncps+jxc`, `ncps+jxc+jxc`, `ncps+jxt`, `ncps+nbn+jp+etm`, `ncps+nbn+jxc`, `ncps+ncn`, `ncps+ncn+jca`, `ncps+ncn+jca+jcm`, `ncps+ncn+jcm`, `ncps+ncn+jco`, `ncps+ncn+jcs`, `ncps+ncn+jct+jxt`, `ncps+ncn+jp+ef`, `ncps+ncn+jp+ef+jcr`, `ncps+ncn+jp+etm`, `ncps+ncn+jxc+jco`, `ncps+ncn+jxt`, `ncps+ncn+ncn`, `ncps+ncn+ncn+jca+jxc`, `ncps+ncn+ncn+jcm`, `ncps+ncn+ncn+jco`, `ncps+ncn+ncn+jxt`, `ncps+ncn+xsn`, `ncps+ncn+xsn+jca`, `ncps+ncn+xsn+jcj`, `ncps+ncn+xsn+jco`, `ncps+ncn+xsn+jp+ecc`, `ncps+ncn+xsn+jp+etm`, `ncps+ncpa`, `ncps+ncpa+jca`, `ncps+ncpa+jcc`, `ncps+ncpa+jcj`, `ncps+ncpa+jcm`, `ncps+ncpa+jco`, `ncps+ncpa+jcs`, `ncps+ncpa+jp+etm`, `ncps+ncpa+jxt`, `ncps+ncpa+xsv+etm`, `ncps+ncps+jca`, `ncps+ncps+jcm`, `ncps+ncps+xsm+ecc`, `ncps+ncps+xsm+ecs`, `ncps+ncps+xsm+etm`, `ncps+xsa`, `ncps+xsa+jxc`, `ncps+xsm+ecc`, `ncps+xsm+ecc+jxc`, `ncps+xsm+ecc+jxt`, `ncps+xsm+ecs`, `ncps+xsm+ecs+jxc`, `ncps+xsm+ecs+jxt`, `ncps+xsm+ecx`, `ncps+xsm+ecx+jcs`, `ncps+xsm+ecx+jxc`, `ncps+xsm+ecx+jxt`, `ncps+xsm+ecx+px+ecc`, `ncps+xsm+ecx+px+ecs`, `ncps+xsm+ecx+px+ecx`, `ncps+xsm+ecx+px+ecx+jxt`, `ncps+xsm+ecx+px+ef`, `ncps+xsm+ecx+px+ep+ecs`, `ncps+xsm+ecx+px+ep+ef`, `ncps+xsm+ecx+px+ep+etm`, `ncps+xsm+ecx+px+ep+etn+jco`, `ncps+xsm+ecx+px+etm`, `ncps+xsm+ecx+px+etn`, `ncps+xsm+ecx+px+etn+jca`, `ncps+xsm+ecx+px+etn+jcj`, `ncps+xsm+ecx+px+etn+jco`, `ncps+xsm+ef`, `ncps+xsm+ef+jco`, `ncps+xsm+ef+jcr`, `ncps+xsm+ef+jcr+jxc`, `ncps+xsm+ef+jcr+jxt`, `ncps+xsm+ef+jxf`, `ncps+xsm+ef+jxt`, `ncps+xsm+ep+ecc`, `ncps+xsm+ep+ecs`, `ncps+xsm+ep+ecs+etm`, `ncps+xsm+ep+ef`, `ncps+xsm+ep+ef+jco`, `ncps+xsm+ep+ef+jcr`, `ncps+xsm+ep+ef+jxf`, `ncps+xsm+ep+ep+ef`, `ncps+xsm+ep+etm`, `ncps+xsm+ep+etn`, `ncps+xsm+ep+etn+jxt`, `ncps+xsm+etm`, `ncps+xsm+etn`, `ncps+xsm+etn+jca`, `ncps+xsm+etn+jca+jxt`, `ncps+xsm+etn+jcj`, `ncps+xsm+etn+jcm`, `ncps+xsm+etn+jco`, `ncps+xsm+etn+jcs`, `ncps+xsm+etn+jct`, `ncps+xsm+etn+jct+jcm`, `ncps+xsm+etn+jp+ef+jcr`, `ncps+xsm+etn+jp+etm`, `ncps+xsm+etn+jxc`, `ncps+xsm+etn+jxc+jxt`, `ncps+xsm+etn+jxt`, `ncps+xsn`, `ncps+xsn+jca`, `ncps+xsn+jca+jxt`, `ncps+xsn+jcm`, `ncps+xsn+jco`, `ncps+xsn+jcs`, `ncps+xsn+jp+ecc`, `ncps+xsn+jp+ep+ecs`, `ncps+xsn+jp+etm`, `ncps+xsn+jxc`, `ncps+xsn+jxt`, `ncps+xsv+etm`, `nnc`, `nnc+f`, `nnc+f+jca`, `nnc+f+jp+ef`, `nnc+jca`, `nnc+jca+jxc`, `nnc+jca+jxt`, `nnc+jcc`, `nnc+jcj`, `nnc+jcm`, `nnc+jco`, `nnc+jcs`, `nnc+jp+ecc`, `nnc+jp+ecs`, `nnc+jp+ef`, `nnc+jp+ef+jcr`, `nnc+jp+ep+ef`, `nnc+jp+ep+etm`, `nnc+jp+etm`, `nnc+jp+etn+jca`, `nnc+jxc`, `nnc+jxt`, `nnc+nbn`, `nnc+nbn+jcm`, `nnc+nbn+jco`, `nnc+nbn+nbu+jcc`, `nnc+nbn+nbu+jcs`, `nnc+nbn+xsn`, `nnc+nbu`, `nnc+nbu+jca`, `nnc+nbu+jca+jxc`, `nnc+nbu+jcc`, `nnc+nbu+jcj`, `nnc+nbu+jcm`, `nnc+nbu+jco`, `nnc+nbu+jcs`, `nnc+nbu+jp+ef`, `nnc+nbu+jp+ef+jcr`, `nnc+nbu+jp+ep+ecs`, `nnc+nbu+jp+ep+ef`, `nnc+nbu+jp+etm`, `nnc+nbu+jxc`, `nnc+nbu+jxc+jcs`, `nnc+nbu+jxc+jxt`, `nnc+nbu+jxt`, `nnc+nbu+nbu`, `nnc+nbu+nbu+jcm`, `nnc+nbu+nbu+jp+ef+jcr`, `nnc+nbu+ncn`, `nnc+nbu+ncn+jca`, `nnc+nbu+ncn+jcj`, `nnc+nbu+ncn+jcm`, `nnc+nbu+ncn+jxc`, `nnc+nbu+xsn`, `nnc+nbu+xsn+jca`, `nnc+nbu+xsn+jcm`, `nnc+nbu+xsn+jco`, `nnc+nbu+xsn+jcs`, `nnc+nbu+xsn+jp+ecc`, `nnc+nbu+xsn+jp+ef`, `nnc+nbu+xsn+jxc`, `nnc+nbu+xsn+jxc+jcm`, `nnc+nbu+xsn+jxt`, `nnc+nbu+xsv+etm`, `nnc+ncn`, `nnc+ncn+jca`, `nnc+ncn+jca+jxt`, `nnc+ncn+jcj`, `nnc+ncn+jcm`, `nnc+ncn+jco`, `nnc+ncn+jcs`, `nnc+ncn+jct`, `nnc+ncn+jp+ef`, `nnc+ncn+jp+etm`, `nnc+ncn+jxc`, `nnc+ncn+jxt`, `nnc+ncn+nbu`, `nnc+ncn+nbu+xsn+jca`, `nnc+ncn+ncn+jca+jxt`, `nnc+ncn+ncn+xsn`, `nnc+ncn+nnc+nnc`, `nnc+ncn+xsn`, `nnc+ncn+xsn+jp+etm`, `nnc+ncn+xsn+jxt`, `nnc+ncpa`, `nnc+ncpa+jcs`, `nnc+nnc`, `nnc+nnc+jca`, `nnc+nnc+jca+jxt`, `nnc+nnc+jcm`, `nnc+nnc+jco`, `nnc+nnc+jp+ef`, `nnc+nnc+nbu`, `nnc+nnc+nbu+jca`, `nnc+nnc+nbu+jcc`, `nnc+nnc+nbu+jcm`, `nnc+nnc+nbu+jco`, `nnc+nnc+nbu+jcs`, `nnc+nnc+nbu+jp+ep+ef`, `nnc+nnc+nbu+jp+etm`, `nnc+nnc+nbu+jxc`, `nnc+nnc+nbu+xsn`, `nnc+nnc+nbu+xsn+jcm`, `nnc+nnc+nbu+xsn+jxc`, `nnc+nnc+ncn+jco`, `nnc+nnc+nnc`, `nnc+nnc+nnc+nnc`, `nnc+nnc+su+jp+ef`, `nnc+nnc+xsn`, `nnc+nnc+xsn+jcm`, `nnc+nnc+xsn+nbu+jca`, `nnc+nnc+xsn+nbu+jcm`, `nnc+nnc+xsn+nbu+jco`, `nnc+nnc+xsn+nbu+jcs`, `nnc+nno+nbu`, `nnc+nno+nbu+jcc`, `nnc+su`, `nnc+su+jca`, `nnc+su+jcm`, `nnc+su+jco`, `nnc+su+jcs`, `nnc+su+jxc`, `nnc+su+xsn`, `nnc+xsn`, `nnc+xsn+jca`, `nnc+xsn+jca+jxt`, `nnc+xsn+jcm`, `nnc+xsn+jco`, `nnc+xsn+jcs`, `nnc+xsn+jp+ef`, `nnc+xsn+jxc`, `nnc+xsn+nbn+jca`, `nnc+xsn+nbu`, `nnc+xsn+nbu+jca`, `nnc+xsn+nbu+jcm`, `nnc+xsn+nbu+jco`, `nnc+xsn+nbu+jcs`, `nnc+xsn+nnc+nbu`, `nnc+xsn+nnc+nbu+jcm`, `nno`, `nno+jca`, `nno+jca+jxt`, `nno+jcj`, `nno+jcm`, `nno+jco`, `nno+jcs`, `nno+jxt`, `nno+nbn`, `nno+nbn+jcm`, `nno+nbn+xsn`, `nno+nbu`, `nno+nbu+jca`, `nno+nbu+jca+jxc`, `nno+nbu+jca+jxt`, `nno+nbu+jcc`, `nno+nbu+jcj`, `nno+nbu+jcm`, `nno+nbu+jco`, `nno+nbu+jcs`, `nno+nbu+jct`, `nno+nbu+jp+ecc`, `nno+nbu+jp+ecs`, `nno+nbu+jp+ef`, `nno+nbu+jp+ep+ecc`, `nno+nbu+jp+ep+ecs`, `nno+nbu+jp+ep+ef`, `nno+nbu+jp+etm`, `nno+nbu+jxc`, `nno+nbu+jxc+jca`, `nno+nbu+jxc+jcm`, `nno+nbu+jxc+jp+ef`, `nno+nbu+jxc+jp+etm`, `nno+nbu+jxc+jxc`, `nno+nbu+jxc+jxt`, `nno+nbu+jxt`, `nno+nbu+nbu`, `nno+nbu+ncn`, `nno+nbu+ncn+jp+ep+ef`, `nno+nbu+ncn+ncn`, `nno+nbu+xsn`, `nno+nbu+xsn+jca`, `nno+nbu+xsn+jcc`, `nno+nbu+xsn+jcm`, `nno+nbu+xsn+jxc`, `nno+nbu+xsn+jxt`, `nno+ncn`, `nno+ncn+jca`, `nno+ncn+jca+jxc`, `nno+ncn+jca+jxt`, `nno+ncn+jcm`, `nno+ncn+jco`, `nno+ncn+jcs`, `nno+ncn+jct`, `nno+ncn+jp+ef`, `nno+ncn+jp+etm`, `nno+ncn+jxc`, `nno+ncn+jxc+jxt`, `nno+ncn+ncn+jp+etm`, `nno+ncn+xsn`, `nno+ncn+xsn+jca`, `nno+ncn+xsn+jp+ep+ef`, `nno+ncn+xsn+jp+etm`, `nno+ncpa+jp+ep+etn+jca+jxc`, `nno+nnc`, `nno+xsn`, `nno+xsn+jca`, `nno+xsn+jca+jxc`, `nno+xsn+jxc`, `nno+xsn+jxc+jcs`, `nno+xsn+nbu`, `nno+xsn+nbu+jcm`, `npd`, `npd+jca`, `npd+jca+jcm`, `npd+jca+jp+ef`, `npd+jca+jp+ef+jca`, `npd+jca+jxc`, `npd+jca+jxc+jcm`, `npd+jca+jxt`, `npd+jcc`, `npd+jcj`, `npd+jcm`, `npd+jco`, `npd+jcs`, `npd+jct`, `npd+jct+jcm`, `npd+jct+jxt`, `npd+jp+ecc`, `npd+jp+ecs`, `npd+jp+ecs+jco`, `npd+jp+ecs+jxt`, `npd+jp+ef`, `npd+jp+ef+jca`, `npd+jp+ef+jcm`, `npd+jp+ef+jco`, `npd+jp+ef+jcr`, `npd+jp+ef+jcs`, `npd+jp+ef+jp+ef`, `npd+jp+ef+jp+etm`, `npd+jp+ef+jxc`, `npd+jp+ef+jxt`, `npd+jp+ep+ef`, `npd+jp+etm`, `npd+jxc`, `npd+jxc+jca`, `npd+jxc+jca+jxc`, `npd+jxc+jcc`, `npd+jxc+jcr`, `npd+jxc+jp+ef`, `npd+jxc+jxc`, `npd+jxc+jxt`, `npd+jxt`, `npd+nbn`, `npd+nbn+jca`, `npd+nbn+jcs`, `npd+nbn+jxc`, `npd+nbn+jxc+jxt`, `npd+ncn`, `npd+ncn+jca`, `npd+ncn+jca+jxc`, `npd+ncn+jcm`, `npd+ncn+jco`, `npd+ncn+jcs`, `npd+ncn+jxt`, `npd+npd`, `npd+xsn`, `npd+xsn+jca`, `npd+xsn+jca+jxc`, `npd+xsn+jca+jxt`, `npd+xsn+jcm`, `npd+xsn+jco`, `npd+xsn+jcs`, `npd+xsn+jct`, `npd+xsn+jp+ef`, `npd+xsn+jxc`, `npd+xsn+jxt`, `npp`, `npp+jca`, `npp+jca+jcm`, `npp+jca+jxc`, `npp+jca+jxc+jcm`, `npp+jca+jxt`, `npp+jcc`, `npp+jcj`, `npp+jcm`, `npp+jco`, `npp+jcs`, `npp+jcs+jxt`, `npp+jct`, `npp+jct+jcm`, `npp+jct+jxc`, `npp+jct+jxt`, `npp+jp+ecs`, `npp+jp+ecs+jco`, `npp+jp+ef`, `npp+jp+ef+jcs`, `npp+jp+ef+jxc+jcs`, `npp+jp+ef+jxt`, `npp+jp+ep+ecc`, `npp+jp+ep+ef`, `npp+jp+ep+etm`, `npp+jp+etm`, `npp+jxc`, `npp+jxc+jcc`, `npp+jxc+jcm`, `npp+jxc+jco`, `npp+jxt`, `npp+nbn+jca`, `npp+nbn+jcs`, `npp+ncn`, `npp+ncn+jca`, `npp+ncn+jca+jxc`, `npp+ncn+jca+jxt`, `npp+ncn+jcm`, `npp+ncn+jco`, `npp+ncn+jcs`, `npp+ncn+jct`, `npp+ncn+jct+jxt`, `npp+ncn+jp+ecs`, `npp+ncn+jxc`, `npp+ncn+jxt`, `npp+ncn+xsn`, `npp+ncpa`, `npp+ncpa+jca`, `npp+ncpa+jca+jxc`, `npp+ncpa+jcj`, `npp+ncpa+jcm`, `npp+ncpa+jco`, `npp+ncpa+jcs`, `npp+ncpa+jxt`, `npp+ncpa+ncpa+jca`, `npp+ncpa+xsn+jp+ecc`, `npp+ncpa+xsn+jp+etm`, `npp+npp+jco`, `npp+xsn`, `npp+xsn+jca`, `npp+xsn+jca+jxc`, `npp+xsn+jca+jxc+jxc`, `npp+xsn+jca+jxt`, `npp+xsn+jcj`, `npp+xsn+jcm`, `npp+xsn+jco`, `npp+xsn+jcs`, `npp+xsn+jcs+jxt`, `npp+xsn+jct`, `npp+xsn+jct+jcm`, `npp+xsn+jct+jxt`, `npp+xsn+jp+ecs`, `npp+xsn+jp+ef`, `npp+xsn+jp+etm`, `npp+xsn+jxc`, `npp+xsn+jxc+jcs`, `npp+xsn+jxc+jxt`, `npp+xsn+jxt`, `npp+xsn+ncn`, `npp+xsn+xsn`, `npp+xsn+xsn+jca`, `npp+xsn+xsn+jca+jxt`, `nq`, `nq+jca`, `nq+jca+jca`, `nq+jca+jca+jxc`, `nq+jca+jcm`, `nq+jca+jxc`, `nq+jca+jxc+jcm`, `nq+jca+jxc+jxc`, `nq+jca+jxt`, `nq+jcc`, `nq+jcj`, `nq+jcm`, `nq+jco`, `nq+jcr`, `nq+jcs`, `nq+jcs+jca+jxc`, `nq+jcs+jxt`, `nq+jct`, `nq+jct+jcm`, `nq+jct+jxt`, `nq+jp+ecc`, `nq+jp+ecs`, `nq+jp+ef`, `nq+jp+ef+jcr`, `nq+jp+ef+jcr+jxc`, `nq+jp+ep+ecc`, `nq+jp+ep+ecs`, `nq+jp+ep+ef`, `nq+jp+ep+etm`, `nq+jp+ep+etn`, `nq+jp+etm`, `nq+jp+etn+jco`, `nq+jxc`, `nq+jxc+jca+jxt`, `nq+jxc+jcm`, `nq+jxc+jcs`, `nq+jxc+jp+ef`, `nq+jxc+jp+ef+jcr`, `nq+jxc+jxc`, `nq+jxc+jxc+jxt`, `nq+jxc+jxt`, `nq+jxt`, `nq+nbn`, `nq+nbn+jca`, `nq+nbn+jcm`, `nq+nbn+jp+ep+ef`, `nq+ncn`, `nq+ncn+jca`, `nq+ncn+jca+jcm`, `nq+ncn+jca+jxc`, `nq+ncn+jca+jxt`, `nq+ncn+jcc`, `nq+ncn+jcj`, `nq+ncn+jcm`, `nq+ncn+jco`, `nq+ncn+jcs`, `nq+ncn+jct`, `nq+ncn+jct+jcm`, `nq+ncn+jct+jxc`, `nq+ncn+jct+jxt`, `nq+ncn+jp+ef`, `nq+ncn+jp+ep+ef`, `nq+ncn+jp+ep+etm`, `nq+ncn+jp+etm`, `nq+ncn+jxc`, `nq+ncn+jxc+jxt`, `nq+ncn+jxt`, `nq+ncn+ncn`, `nq+ncn+ncn+jca`, `nq+ncn+ncn+jca+jxt`, `nq+ncn+ncn+jcm`, `nq+ncn+ncn+jco`, `nq+ncn+ncn+jp+etm`, `nq+ncn+ncn+jxc`, `nq+ncn+ncn+ncn`, `nq+ncn+ncn+ncn+jca`, `nq+ncn+ncn+ncn+jcs`, `nq+ncn+ncn+xsn+jxt`, `nq+ncn+ncpa+jca`, `nq+ncn+ncpa+jcs`, `nq+ncn+ncpa+jxt`, `nq+ncn+ncpa+ncn`, `nq+ncn+ncpa+ncn+jcm`, `nq+ncn+xsn`, `nq+ncn+xsn+jca`, `nq+ncn+xsn+jca+jxt`, `nq+ncn+xsn+jcm`, `nq+ncn+xsn+jco`, `nq+ncn+xsn+jcs`, `nq+ncn+xsn+jct`, `nq+ncn+xsn+jp+etm`, `nq+ncn+xsn+jxt`, `nq+ncpa`, `nq+ncpa+jca`, `nq+ncpa+jcm`, `nq+ncpa+jco`, `nq+ncpa+jxt`, `nq+ncpa+ncn+jcm`, `nq+ncpa+ncn+jp+ef`, `nq+ncpa+ncn+jp+etm`, `nq+nq`, `nq+nq+jca`, `nq+nq+jcj`, `nq+nq+jcm`, `nq+nq+jcs`, `nq+nq+jct`, `nq+nq+jxc+jcs`, `nq+nq+jxt`, `nq+nq+ncn`, `nq+nq+ncn+jca`, `nq+nq+nq+jxt`, `nq+nq+nq+nq+jcm`, `nq+xsm+ecs`, `nq+xsm+etm`, `nq+xsn`, `nq+xsn+jca`, `nq+xsn+jca+jxc`, `nq+xsn+jca+jxt`, `nq+xsn+jcj`, `nq+xsn+jcm`, `nq+xsn+jco`, `nq+xsn+jcs`, `nq+xsn+jcs+jxt`, `nq+xsn+jct`, `nq+xsn+jct+jcm`, `nq+xsn+jp+ef`, `nq+xsn+jp+ef+jcr`, `nq+xsn+jp+ep+ef`, `nq+xsn+jp+etm`, `nq+xsn+jp+etn+jco`, `nq+xsn+jxc`, `nq+xsn+jxt`, `nq+xsn+xsn`, `nq+xsn+xsn+jcj`, `nq+xsn+xsn+jcs`, `nq+xsn+xsv+ep+etm`, `nq+xsv+ecs`, `paa+ecc`, `paa+ecc+jxc`, `paa+ecc+jxt`, `paa+ecs`, `paa+ecs+etm`, `paa+ecs+jca`, `paa+ecs+jcm`, `paa+ecs+jco`, `paa+ecs+jct`, `paa+ecs+jp+ecc`, `paa+ecs+jp+ep+ef`, `paa+ecs+jxc`, `paa+ecs+jxc+jxt`, `paa+ecs+jxt`, `paa+ecx`, `paa+ecx+jco`, `paa+ecx+jcs`, `paa+ecx+jxc`, `paa+ecx+jxt`, `paa+ecx+px+ecc`, `paa+ecx+px+ecs`, `paa+ecx+px+ecx`, `paa+ecx+px+ecx+jxc`, `paa+ecx+px+ecx+px+ecc`, `paa+ecx+px+ecx+px+ecx`, `paa+ecx+px+ecx+px+ef`, `paa+ecx+px+ecx+px+ep+ef`, `paa+ecx+px+ecx+px+etm`, `paa+ecx+px+ef`, `paa+ecx+px+ef+jcr`, `paa+ecx+px+ep+ecc`, `paa+ecx+px+ep+ecs`, `paa+ecx+px+ep+ef`, `paa+ecx+px+ep+ef+jcr`, `paa+ecx+px+ep+etm`, `paa+ecx+px+ep+etn`, `paa+ecx+px+ep+etn+jco`, `paa+ecx+px+etm`, `paa+ecx+px+etn`, `paa+ecx+px+etn+jca`, `paa+ecx+px+etn+jco`, `paa+ecx+px+etn+jcs`, `paa+ecx+px+etn+jxc`, `paa+ecx+px+etn+jxt`, `paa+ef`, `paa+ef+ecc`, `paa+ef+ecs`, `paa+ef+ecs+jxc`, `paa+ef+jca`, `paa+ef+jcm`, `paa+ef+jco`, `paa+ef+jcr`, `paa+ef+jcr+jxc`, `paa+ef+jcr+jxt`, `paa+ef+jxf`, `paa+ep+ecc`, `paa+ep+ecs`, `paa+ep+ecs+jxc`, `paa+ep+ef`, `paa+ep+ef+jcr`, `paa+ep+ef+jxc`, `paa+ep+ef+jxf`, `paa+ep+ef+jxt`, `paa+ep+ep+ecs`, `paa+ep+ep+ef`, `paa+ep+ep+etm`, `paa+ep+etm`, `paa+ep+etn`, `paa+ep+etn+jca`, `paa+ep+etn+jca+jxc`, `paa+ep+etn+jco`, `paa+ep+etn+jcs`, `paa+ep+etn+jxt`, `paa+etm`, `paa+etn`, `paa+etn+jca`, `paa+etn+jca+jxc`, `paa+etn+jca+jxt`, `paa+etn+jcc`, `paa+etn+jcj`, `paa+etn+jcm`, `paa+etn+jco`, `paa+etn+jcs`, `paa+etn+jct`, `paa+etn+jp+ecc`, `paa+etn+jp+ef`, `paa+etn+jp+ep+ecs`, `paa+etn+jp+ep+ef`, `paa+etn+jxc`, `paa+etn+jxt`, `paa+jxt`, `pad+ecc`, `pad+ecc+jxt`, `pad+ecs`, `pad+ecs+jxc`, `pad+ecs+jxt`, `pad+ecx`, `pad+ecx+jcs`, `pad+ecx+jxc`, `pad+ecx+jxt`, `pad+ecx+px+ecs`, `pad+ecx+px+ecx+px+ecc+jxt`, `pad+ef`, `pad+ef+jcr`, `pad+ef+jcr+jxt`, `pad+ef+jxf`, `pad+ef+jxt`, `pad+ep+ecc`, `pad+ep+ecs`, `pad+ep+ef`, `pad+ep+ef+jco`, `pad+ep+etm`, `pad+etm`, `pad+etn`, `pad+etn+jxt`, `pvd+ecc+jxc`, `pvd+ecs`, `pvd+ecs+jp+ecs`, `pvd+ecs+jxc`, `pvd+ecs+jxt`, `pvd+ecx`, `pvd+ep+ef`, `pvd+ep+etm`, `pvd+etm`, `pvd+etn`, `pvd+etn+jca`, `pvd+etn+jca+jxc`, `pvg+ecc`, `pvg+ecc+jxc`, `pvg+ecc+jxt`, `pvg+ecs`, `pvg+ecs+ecs`, `pvg+ecs+jca`, `pvg+ecs+jca+jxt`, `pvg+ecs+jcc`, `pvg+ecs+jcm`, `pvg+ecs+jco`, `pvg+ecs+jcs`, `pvg+ecs+jct`, `pvg+ecs+jp+ecs`, `pvg+ecs+jp+ef`, `pvg+ecs+jp+ep+ecs`, `pvg+ecs+jp+ep+ef`, `pvg+ecs+jp+ep+ef+jcr`, `pvg+ecs+jxc`, `pvg+ecs+jxc+jcc`, `pvg+ecs+jxc+jp+ef`, `pvg+ecs+jxc+jp+ep+ef`, `pvg+ecs+jxt`, `pvg+ecx`, `pvg+ecx+jco`, `pvg+ecx+jxc`, `pvg+ecx+jxt`, `pvg+ecx+jxt+px+ep+ef`, `pvg+ecx+px+ecc`, `pvg+ecx+px+ecc+jxc`, `pvg+ecx+px+ecc+jxt`, `pvg+ecx+px+ecs`, `pvg+ecx+px+ecs+jxc`, `pvg+ecx+px+ecs+jxt`, `pvg+ecx+px+ecx`, `pvg+ecx+px+ecx+jco`, `pvg+ecx+px+ecx+jxc`, `pvg+ecx+px+ecx+jxt`, `pvg+ecx+px+ecx+px+ecc`, `pvg+ecx+px+ecx+px+ecs`, `pvg+ecx+px+ecx+px+ecs+jxt`, `pvg+ecx+px+ecx+px+ecx`, `pvg+ecx+px+ecx+px+ecx+px+ecc`, `pvg+ecx+px+ecx+px+ef`, `pvg+ecx+px+ecx+px+ep+ecc`, `pvg+ecx+px+ecx+px+ep+ef`, `pvg+ecx+px+ecx+px+ep+etm`, `pvg+ecx+px+ecx+px+ep+etn+jco`, `pvg+ecx+px+ecx+px+etm`, `pvg+ecx+px+ecx+px+etn`, `pvg+ecx+px+ecx+px+etn+jca`, `pvg+ecx+px+ef`, `pvg+ecx+px+ef+jca`, `pvg+ecx+px+ef+jcm`, `pvg+ecx+px+ef+jcr`, `pvg+ecx+px+ep+ecc`, `pvg+ecx+px+ep+ecs`, `pvg+ecx+px+ep+ecs+jxc`, `pvg+ecx+px+ep+ef`, `pvg+ecx+px+ep+ef+jcm`, `pvg+ecx+px+ep+ef+jcr`, `pvg+ecx+px+ep+ef+jxf`, `pvg+ecx+px+ep+ep+ecs`, `pvg+ecx+px+ep+etm`, `pvg+ecx+px+ep+etn`, `pvg+ecx+px+ep+etn+jca`, `pvg+ecx+px+ep+etn+jca+jxc`, `pvg+ecx+px+ep+etn+jco`, `pvg+ecx+px+etm`, `pvg+ecx+px+etn`, `pvg+ecx+px+etn+jca`, `pvg+ecx+px+etn+jca+jxc`, `pvg+ecx+px+etn+jca+jxt`, `pvg+ecx+px+etn+jco`, `pvg+ecx+px+etn+jcs`, `pvg+ecx+px+etn+jct`, `pvg+ecx+px+etn+jxc`, `pvg+ecx+px+etn+jxc+jxt`, `pvg+ecx+px+etn+jxt`, `pvg+ef`, `pvg+ef+jca`, `pvg+ef+jcm`, `pvg+ef+jco`, `pvg+ef+jcr`, `pvg+ef+jcr+jxc`, `pvg+ef+jcr+jxt`, `pvg+ef+jcs`, `pvg+ef+jp+ef+jcr`, `pvg+ef+jp+etm`, `pvg+ef+jxc`, `pvg+ef+jxf`, `pvg+ef+jxt`, `pvg+ep+ecc`, `pvg+ep+ecc+jxt`, `pvg+ep+ecs`, `pvg+ep+ecs+jca+jxt`, `pvg+ep+ecs+jco`, `pvg+ep+ecs+jxc`, `pvg+ep+ecs+jxt`, `pvg+ep+ecx`, `pvg+ep+ecx+px+ef`, `pvg+ep+ef`, `pvg+ep+ef+jca`, `pvg+ep+ef+jcm`, `pvg+ep+ef+jco`, `pvg+ep+ef+jcr`, `pvg+ep+ef+jcr+jxc`, `pvg+ep+ef+jcr+jxt`, `pvg+ep+ef+jct`, `pvg+ep+ef+jxc`, `pvg+ep+ef+jxf`, `pvg+ep+ef+jxt`, `pvg+ep+ep+ef`, `pvg+ep+ep+ef+jco`, `pvg+ep+ep+ef+jxf`, `pvg+ep+etm`, `pvg+ep+etn`, `pvg+ep+etn+jca`, `pvg+ep+etn+jca+jxc`, `pvg+ep+etn+jca+jxt`, `pvg+ep+etn+jco`, `pvg+ep+etn+jcs`, `pvg+ep+etn+jxt`, `pvg+etm`, `pvg+etn`, `pvg+etn+jca`, `pvg+etn+jca+jxc`, `pvg+etn+jca+jxt`, `pvg+etn+jcc`, `pvg+etn+jcj`, `pvg+etn+jcm`, `pvg+etn+jco`, `pvg+etn+jcr`, `pvg+etn+jcs`, `pvg+etn+jct`, `pvg+etn+jct+jxt`, `pvg+etn+jp+ecc`, `pvg+etn+jp+ecs`, `pvg+etn+jp+ef`, `pvg+etn+jp+ef+jcr`, `pvg+etn+jp+ef+jcs`, `pvg+etn+jp+ep+ef`, `pvg+etn+jp+ep+ef+jcr`, `pvg+etn+jp+etm`, `pvg+etn+jxc`, `pvg+etn+jxc+jca+jxt`, `pvg+etn+jxc+jcm`, `pvg+etn+jxc+jco`, `pvg+etn+jxc+jcs`, `pvg+etn+jxc+jxt`, `pvg+etn+jxt`, `pvg+etn+xsm+ecs`, `pvg+etn+xsn+jcm`, `px+ecc`, `px+ecc+jxc`, `px+ecc+jxc+jp+ef`, `px+ecc+jxt`, `px+ecs`, `px+ecs+jca`, `px+ecs+jcc`, `px+ecs+jcj`, `px+ecs+jcm`, `px+ecs+jco`, `px+ecs+jp+ep+ef`, `px+ecs+jxc`, `px+ecs+jxt`, `px+ecx`, `px+ecx+jxc`, `px+ecx+jxt`, `px+ecx+px+ecs`, `px+ecx+px+ecx`, `px+ecx+px+ef`, `px+ecx+px+ef+jcr`, `px+ecx+px+ep+ef`, `px+ecx+px+etm`, `px+ecx+px+etn+jca`, `px+ef`, `px+ef+etm`, `px+ef+jca`, `px+ef+jca+jxc`, `px+ef+jcj`, `px+ef+jcm`, `px+ef+jco`, `px+ef+jcr`, `px+ef+jcr+jxc`, `px+ef+jcs`, `px+ef+jp+etm`, `px+ef+jxc`, `px+ef+jxf`, `px+ef+jxt`, `px+ep+ecc`, `px+ep+ecs`, `px+ep+ecs+jxc`, `px+ep+ecs+jxt`, `px+ep+ecx`, `px+ep+ef`, `px+ep+ef+jca`, `px+ep+ef+jco`, `px+ep+ef+jcr`, `px+ep+ef+jcr+jxc`, `px+ep+ef+jxf`, `px+ep+ep+ef`, `px+ep+ep+ef+jxf`, `px+ep+etm`, `px+ep+etn`, `px+ep+etn+jca`, `px+ep+etn+jca+jxc`, `px+ep+etn+jco`, `px+ep+etn+jcs`, `px+ep+etn+jxc`, `px+ep+etn+jxt`, `px+etm`, `px+etn`, `px+etn+jca`, `px+etn+jca+jxc`, `px+etn+jca+jxt`, `px+etn+jco`, `px+etn+jcs`, `px+etn+jct`, `px+etn+jxc`, `px+etn+jxc+jxt`, `px+etn+jxt`, `sf`, `sl`, `sp`, `sr`, `su`, `su+jca`, `su+jcm`, `xp+nbn`, `xp+nbu`, `xp+ncn`, `xp+ncn+jca`, `xp+ncn+jcm`, `xp+ncn+jco`, `xp+ncn+jcs`, `xp+ncn+jp+ef`, `xp+ncn+jp+ep+ef`, `xp+ncn+jxt`, `xp+ncn+ncn+jca`, `xp+ncn+ncn+jcm`, `xp+ncn+ncn+jco`, `xp+ncn+ncpa+jco`, `xp+ncn+xsn`, `xp+ncn+xsn+jca`, `xp+ncn+xsn+jcm`, `xp+ncn+xsn+jp+ef`, `xp+ncn+xsn+jp+etm`, `xp+ncpa`, `xp+ncpa+jca`, `xp+ncpa+jcm`, `xp+ncpa+jco`, `xp+ncpa+ncn+jcm`, `xp+ncpa+ncn+jco`, `xp+ncpa+ncpa+jco`, `xp+ncpa+xsn`, `xp+ncpa+xsn+jp+etm`, `xp+ncpa+xsv+ecc`, `xp+ncpa+xsv+ecs`, `xp+ncpa+xsv+ecx`, `xp+ncpa+xsv+ef`, `xp+ncpa+xsv+ef+jcr`, `xp+ncpa+xsv+ep+ef`, `xp+ncpa+xsv+etm`, `xp+ncpa+xsv+etn+jca`, `xp+ncps`, `xp+ncps+xsm+ecs`, `xp+ncps+xsm+ecx`, `xp+ncps+xsm+ef`, `xp+ncps+xsm+ep+ef`, `xp+ncps+xsm+etm`, `xp+ncps+xsn`, `xp+nnc`, `xp+nnc+jcm`, `xp+nnc+nbn`, `xp+nnc+nbu`, `xp+nnc+nbu+jcs`, `xp+nnc+ncn`, `xp+nnc+ncn+jca`, `xp+nnc+ncn+jcm`, `xp+nnc+ncn+jcs`, `xp+nnc+ncn+jp+ef+jcr`, `xp+nno`, `xp+nno+jcm`, `xp+nno+nbn+jca`, `xp+nno+nbu`, `xp+nno+nbu+jcs`, `xp+nno+ncn`, `xp+nno+ncn+jca`, `xp+nno+ncn+jcs`, `xp+nno+ncn+jxt`, `xp+nq`, `xp+nq+ncn+jca`, `xp+nq+ncpa`, `xp+nq+ncpa+jco`, `xp+nq+ncpa+jp+etm`, `xsm+etm`, `xsn`, `xsn+jca`, `xsn+jca+jxt`, `xsn+jco`, `xsn+jcs`, `xsn+jp+ef`, `xsn+jp+ep+ef`, `xsn+jxc+jca+jxt`, `xsn+jxc+jcs`, `xsn+jxt`, `xsv+ecc`, `xsv+ecs`, `xsv+ecx+px+ep+ef`, `xsv+ep+ecx`, `xsv+etm` |
| **`morphologizer`** | `POS=CCONJ`, `POS=ADV`, `POS=SCONJ`, `POS=DET`, `POS=NOUN`, `POS=VERB`, `POS=ADJ`, `POS=PUNCT`, `POS=AUX`, `POS=PRON`, `POS=PROPN`, `POS=NUM`, `POS=INTJ`, `POS=PART`, `POS=X`, `POS=ADP`, `POS=SYM` |
| **`parser`** | `ROOT`, `acl`, `advcl`, `advmod`, `amod`, `appos`, `aux`, `case`, `cc`, `ccomp`, `compound`, `conj`, `cop`, `csubj`, `dep`, `det`, `discourse`, `dislocated`, `fixed`, `flat`, `iobj`, `mark`, `nmod`, `nsubj`, `nummod`, `obj`, `obl`, `punct`, `vocative`, `xcomp` |
| **`experimental_edit_tree_lemmatizer`** | `0`, `3`, `5`, `7`, `9`, `11`, `12`, `16`, `18`, `20`, `22`, `25`, `28`, `31`, `34`, `35`, `36`, `39`, `40`, `43`, `45`, `47`, `48`, `51`, `54`, `56`, `58`, `60`, `61`, `63`, `65`, `67`, `69`, `71`, `73`, `75`, `76`, `78`, `79`, `82`, `85`, `87`, `89`, `92`, `95`, `97`, `99`, `101`, `104`, `106`, `109`, `112`, `114`, `116`, `119`, `121`, `122`, `124`, `126`, `127`, `128`, `130`, `133`, `135`, `137`, `140`, `142`, `145`, `147`, `148`, `150`, `151`, `152`, `155`, `156`, `158`, `161`, `162`, `164`, `167`, `169`, `172`, `174`, `176`, `177`, `179`, `182`, `184`, `186`, `188`, `191`, `192`, `194`, `196`, `199`, `202`, `203`, `173`, `115`, `205`, `207`, `210`, `213`, `216`, `218`, `221`, `146`, `223`, `225`, `227`, `229`, `230`, `231`, `232`, `234`, `236`, `238`, `239`, `242`, `244`, `246`, `248`, `251`, `253`, `255`, `256`, `259`, `261`, `264`, `265`, `268`, `270`, `272`, `274`, `276`, `278`, `279`, `282`, `285`, `287`, `289`, `293`, `295`, `297`, `300`, `302`, `304`, `307`, `309`, `310`, `313`, `315`, `226`, `318`, `319`, `321`, `323`, `325`, `327`, `329`, `332`, `334`, `335`, `337`, `149`, `339`, `340`, `342`, `344`, `346`, `348`, `349`, `350`, `352`, `354`, `356`, `358`, `360`, `361`, `363`, `365`, `369`, `370`, `372`, `374`, `376`, `21`, `15`, `377`, `379`, `382`, `385`, `387`, `388`, `254`, `390`, `393`, `395`, `397`, `399`, `401`, `403`, `404`, `405`, `407`, `408`, `411`, `414`, `417`, `418`, `421`, `422`, `424`, `427`, `429`, `431`, `435`, `437`, `439`, `440`, `442`, `443`, `444`, `447`, `449`, `451`, `389`, `454`, `455`, `457`, `460`, `461`, `463`, `466`, `468`, `471`, `473`, `476`, `477`, `479`, `482`, `296`, `485`, `487`, `490`, `492`, `493`, `495`, `497`, `500`, `502`, `504`, `505`, `507`, `510`, `511`, `514`, `267`, `516`, `520`, `472`, `523`, `525`, `526`, `527`, `530`, `532`, `462`, `533`, `534`, `535`, `537`, `540`, `541`, `465`, `543`, `545`, `546`, `547`, `550`, `551`, `552`, `553`, `555`, `556`, `72`, `558`, `560`, `562`, `563`, `564`, `567`, `568`, `571`, `574`, `577`, `579`, `581`, `582`, `584`, `587`, `589`, `591`, `594`, `595`, `597`, `600`, `603`, `606`, `608`, `610`, `611`, `613`, `614`, `616`, `617`, `620`, `10`, `623`, `626`, `629`, `632`, `633`, `635`, `637`, `638`, `640`, `642`, `644`, `645`, `647`, `648`, `651`, `652`, `653`, `655`, `657`, `659`, `660`, `664`, `666`, `667`, `669`, `672`, `674`, `675`, `676`, `678`, `679`, `680`, `683`, `684`, `687`, `689`, `690`, `692`, `694`, `697`, `699`, `702`, `703`, `706`, `707`, `710`, `713`, `715`, `717`, `719`, `721`, `723`, `725`, `728`, `730`, `733`, `735`, `738`, `740`, `743`, `744`, `649`, `747`, `749`, `753`, `756`, `757`, `759`, `761`, `764`, `767`, `769`, `772`, `774`, `777`, `780`, `783`, `785`, `787`, `789`, `792`, `794`, `797`, `799`, `800`, `802`, `805`, `806`, `808`, `809`, `811`, `812`, `813`, `815`, `817`, `819`, `820`, `59`, `822`, `824`, `827`, `829`, `831`, `618`, `832`, `834`, `836`, `838`, `724`, `841`, `55`, `842`, `844`, `846`, `847`, `850`, `852`, `855`, `857`, `859`, `861`, `863`, `865`, `868`, `869`, `871`, `873`, `874`, `877`, `880`, `884`, `887`, `890`, `891`, `892`, `893`, `896`, `898`, `901`, `351`, `904`, `906`, `908`, `911`, `913`, `915`, `650`, `918`, `920`, `830`, `921`, `923`, `924`, `926`, `927`, `930`, `931`, `934`, `937`, `938`, `940`, `941`, `942`, `945`, `947`, `949`, `952`, `954`, `957`, `960`, `963`, `965`, `967`, `970`, `972`, `974`, `977`, `980`, `981`, `983`, `985`, `986`, `988`, `991`, `994`, `997`, `999`, `1000`, `1002`, `1005`, `1006`, `1007`, `1010`, `125`, `1013`, `1016`, `1017`, `1019`, `1020`, `1024`, `1026`, `1028`, `1030`, `1032`, `1034`, `1036`, `1038`, `1040`, `1041`, `1044`, `1045`, `1048`, `415`, `1051`, `1053`, `1055`, `1056`, `1058`, `1061`, `1063`, `1065`, `1067`, `1068`, `1069`, `1070`, `1074`, `946`, `1077`, `1079`, `1081`, `1083`, `1086`, `1088`, `1089`, `1092`, `936`, `1096`, `1098`, `1101`, `1104`, `1106`, `1108`, `1110`, `1112`, `1114`, `1116`, `1118`, `1119`, `1120`, `1085`, `1123`, `1125`, `1127`, `1031`, `1128`, `1131`, `1124`, `1134`, `1135`, `1137`, `1139`, `1142`, `1144`, `1145`, `1147`, `1150`, `1152`, `1156`, `1158`, `1159`, `1162`, `1164`, `1166`, `1167`, `1170`, `1172`, `1174`, `1176`, `1178`, `1180`, `1181`, `1183`, `1186`, `1187`, `1189`, `1192`, `1195`, `1198`, `1200`, `1201`, `1204`, `1206`, `1208`, `1209`, `763`, `1211`, `1212`, `1214`, `1215`, `1218`, `1220`, `1222`, `1225`, `1226`, `1227`, `1228`, `1230`, `1232`, `1234`, `1236`, `1237`, `1239`, `1241`, `181`, `1244`, `1245`, `1247`, `1249`, `1251`, `1253`, `1256`, `1257`, `1260`, `1261`, `1262`, `1264`, `1267`, `1268`, `1269`, `1272`, `1274`, `1277`, `1280`, `1283`, `1285`, `1287`, `1289`, `1290`, `1294`, `1296`, `1279`, `1298`, `1300`, `1303`, `1304`, `1306`, `1309`, `1311`, `1313`, `1314`, `1317`, `1319`, `1320`, `1324`, `1327`, `1329`, `1332`, `1334`, `1336`, `1338`, `1340`, `1342`, `1344`, `1345`, `303`, `1346`, `1349`, `1350`, `1352`, `1354`, `1356`, `1359`, `362`, `1360`, `1363`, `1365`, `1366`, `1367`, `1369`, `1370`, `1372`, `1374`, `1375`, `1378`, `1380`, `1384`, `1385`, `1389`, `1390`, `1393`, `1395`, `1398`, `1403`, `1404`, `1405`, `1407`, `1410`, `1413`, `1415`, `1418`, `1420`, `1422`, `1423`, `1425`, `1426`, `1428`, `1429`, `1431`, `1433`, `1435`, `1436`, `1438`, `1440`, `1442`, `1444`, `1447`, `1448`, `1449`, `1451`, `1452`, `105`, `1454`, `1456`, `1457`, `1459`, `1462`, `1463`, `1464`, `1466`, `1468`, `1470`, `1471`, `1475`, `810`, `1476`, `1478`, `1480`, `1483`, `1485`, `1487`, `1490`, `1493`, `450`, `1496`, `1498`, `1501`, `1504`, `1506`, `1508`, `1510`, `1513`, `1515`, `1517`, `1520`, `1523`, `1526`, `1529`, `1531`, `1535`, `1536`, `1538`, `1540`, `1542`, `1545`, `1548`, `1550`, `1554`, `1555`, `1558`, `1559`, `1561`, `1563`, `1565`, `1566`, `1568`, `1569`, `1572`, `1574`, `1576`, `1578`, `1580`, `1581`, `1582`, `1585`, `1586`, `1589`, `1591`, `1593`, `1596`, `1597`, `416`, `615`, `1599`, `1601`, `1603`, `1608`, `1611`, `840`, `1613`, `1614`, `1616`, `1618`, `1622`, `1624`, `1627`, `1630`, `1633`, `1636`, `1638`, `1642`, `1645`, `1647`, `1650`, `1653`, `1656`, `1659`, `1661`, `1664`, `1665`, `1668`, `1670`, `1671`, `1674`, `1676`, `1679`, `1680`, `1683`, `1685`, `1687`, `1689`, `1694`, `1697`, `1698`, `1699`, `1700`, `1702`, `1705`, `1706`, `1709`, `1711`, `1712`, `1714`, `1718`, `1720`, `1721`, `1723`, `1725`, `1726`, `1728`, `987`, `506`, `1730`, `1733`, `1735`, `1736`, `1738`, `1740`, `1741`, `1743`, `1745`, `1747`, `1748`, `166`, `1750`, `1752`, `1753`, `1755`, `1758`, `1761`, `1763`, `224`, `1764`, `1767`, `1768`, `1771`, `1773`, `1777`, `1779`, `1783`, `1786`, `1787`, `1791`, `1794`, `1797`, `1798`, `1799`, `1801`, `1804`, `1806`, `1807`, `1809`, `228`, `1810`, `1813`, `1814`, `1817`, `1819`, `1821`, `1824`, `1826`, `1829`, `1831`, `1833`, `1834`, `1835`, `1837`, `1839`, `1637`, `1840`, `1844`, `1846`, `905`, `1850`, `1851`, `1853`, `1855`, `1858`, `1859`, `1861`, `1862`, `1863`, `1866`, `1867`, `1869`, `1873`, `1875`, `1878`, `1879`, `1883`, `1884`, `1887`, `1890`, `1892`, `1895`, `1896`, `1899`, `1901`, `1903`, `1905`, `1907`, `1908`, `1909`, `1910`, `1912`, `1914`, `1917`, `1920`, `1922`, `1924`, `1926`, `1928`, `1929`, `1932`, `1933`, `1935`, `1936`, `1937`, `1940`, `1942`, `1944`, `1946`, `1947`, `1949`, `1952`, `1953`, `1956`, `1959`, `1960`, `1962`, `1964`, `1965`, `1966`, `1967`, `1970`, `1971`, `1972`, `1974`, `1975`, `1976`, `1977`, `1978`, `1979`, `1981`, `1982`, `1983`, `1985`, `1987`, `1991`, `673`, `1992`, `1994`, `1995`, `1997`, `1999`, `2002`, `2003`, `2005`, `2008`, `2010`, `2012`, `2013`, `2015`, `2017`, `2019`, `2020`, `2023`, `2026`, `2027`, `2030`, `2032`, `2034`, `2036`, `2038`, `2040`, `2041`, `2042`, `2045`, `2046`, `2048`, `2049`, `2051`, `2052`, `2053`, `1295`, `2054`, `536`, `2057`, `2059`, `2062`, `2064`, `2066`, `2067`, `2068`, `2072`, `2075`, `2076`, `2078`, `2081`, `2083`, `2085`, `2086`, `2088`, `2090`, `2091`, `2093`, `2096`, `2098`, `2099`, `2102`, `2104`, `2105`, `2107`, `2110`, `2111`, `17`, `2113`, `2116`, `2118`, `2121`, `2123`, `2124`, `2125`, `2127`, `2128`, `2129`, `2131`, `2133`, `2135`, `2137`, `2140`, `2141`, `2143`, `2145`, `2146`, `2147`, `2149`, `2151`, `2154`, `2155`, `2156`, `2159`, `2160`, `2161`, `2162`, `2163`, `2165`, `2168`, `1477`, `2170`, `2171`, `2173`, `2174`, `2175`, `2177`, `2180`, `2181`, `2183`, `2185`, `2187`, `2188`, `2190`, `2193`, `2195`, `2199`, `2202`, `2204`, `2205`, `2207`, `2210`, `2212`, `2213`, `2216`, `338`, `2218`, `2220`, `2222`, `2224`, `2226`, `2229`, `2231`, `2233`, `2236`, `2238`, `2240`, `2243`, `2245`, `2247`, `2248`, `593`, `2250`, `2251`, `2256`, `2258`, `2261`, `2263`, `2264`, `2266`, `2268`, `2271`, `2274`, `2277`, `2278`, `2281`, `2282`, `2284`, `2287`, `2289`, `2292`, `345`, `2294`, `2297`, `2299`, `2301`, `2304`, `2306`, `2308`, `2310`, `2312`, `2315`, `2317`, `2318`, `2321`, `2322`, `2323`, `1663`, `2324`, `2328`, `2331`, `2332`, `2335`, `2337`, `2339`, `2341`, `2344`, `2346`, `2348`, `2350`, `2354`, `2355`, `2359`, `2361`, `2363`, `2366`, `2368`, `2369`, `2372`, `2375`, `2376`, `2380`, `2384`, `2167`, `2385`, `2386`, `2388`, `2391`, `2393`, `2395`, `2397`, `2398`, `2400`, `2403`, `2404`, `2406`, `2410`, `2412`, `2414`, `2416`, `2418`, `1111`, `2420`, `2421`, `2422`, `2425`, `2428`, `2431`, `2433`, `2435`, `2437`, `2438`, `2439`, `2442`, `2445`, `2447`, `2448`, `2450`, `2453`, `2456`, `2459`, `2461`, `2462`, `2463`, `2466`, `2467`, `2470`, `2471`, `2473`, `2476`, `2478`, `2479`, `2482`, `2485`, `2486`, `2488`, `2489`, `2491`, `2494`, `2496`, `2498`, `2501`, `2503`, `2506`, `2507`, `2508`, `2510`, `2512`, `2513`, `2515`, `2517`, `2518`, `2520`, `2522`, `2526`, `2529`, `2531`, `1219`, `2534`, `2536`, `2538`, `2540`, `2542`, `2544`, `2546`, `2547`, `2549`, `2550`, `2552`, `2553`, `2556`, `2559`, `2561`, `2563`, `2565`, `2567`, `2569`, `2571`, `2573`, `2575`, `2577`, `2578`, `2579`, `2580`, `2583`, `2585`, `2587`, `2590`, `2594`, `2596`, `2598`, `2602`, `2605`, `2607`, `2609`, `2613`, `2614`, `2615`, `2616`, `2620`, `2621`, `2625`, `2626`, `2629`, `2631`, `2632`, `2634`, `2636`, `2639`, `2640`, `2642`, `2643`, `2644`, `2647`, `2648`, `2650`, `2653`, `2656`, `2658`, `864`, `2661`, `1052`, `2662`, `2664`, `2665`, `2666`, `2669`, `2672`, `2674`, `2676`, `2679`, `2680`, `2682`, `2684`, `2687`, `2688`, `2693`, `2695`, `2697`, `2699`, `2700`, `2703`, `2705`, `2686`, `2706`, `2709`, `2711`, `2714`, `2717`, `2719`, `2721`, `2725`, `2728`, `2730`, `2192`, `2731`, `2734`, `2735`, `2738`, `2739`, `2741`, `2744`, `2745`, `2747`, `2750`, `2753`, `2755`, `2758`, `2759`, `2761`, `2763`, `2766`, `2768`, `2769`, `2771`, `2773`, `2775`, `2776`, `2779`, `2782`, `2785`, `2786`, `2788`, `1406`, `2790`, `2791`, `2792`, `2793`, `2794`, `2796`, `2799`, `2801`, `2804`, `2807`, `2810`, `2813`, `2814`, `2816`, `2818`, `2820`, `2822`, `2824`, `2827`, `2828`, `2830`, `2833`, `2803`, `2835`, `2837`, `2839`, `2841`, `2844`, `2845`, `2846`, `2847`, `2849`, `2850`, `2852`, `2853`, `2854`, `2857`, `2859`, `2861`, `2863`, `2865`, `2867`, `2869`, `2871`, `2872`, `2874`, `2876`, `2878`, `2880`, `2882`, `2884`, `2886`, `2887`, `2891`, `2894`, `2895`, `2896`, `2897`, `2900`, `2903`, `2904`, `386`, `2906`, `2909`, `2912`, `2913`, `2915`, `2917`, `2919`, `2920`, `2923`, `2924`, `2925`, `2926`, `2928`, `2930`, `2932`, `2935`, `2938`, `2939`, `2940`, `2944`, `2946`, `2947`, `2951`, `2952`, `2955`, `2957`, `2961`, `2963`, `2965`, `2968`, `2971`, `275`, `2973`, `2975`, `2977`, `2980`, `2982`, `2984`, `2988`, `573`, `2990`, `2991`, `2993`, `2994`, `2995`, `2998`, `3001`, `3004`, `3007`, `3009`, `378`, `3012`, `3013`, `3014`, `3015`, `3018`, `3020`, `3022`, `3024`, `3026`, `3028`, `3031`, `3033`, `3036`, `3037`, `3039`, `3041`, `3042`, `3043`, `3044`, `3046`, `3048`, `3049`, `3050`, `3053`, `3055`, `3056`, `3058`, `3060`, `3062`, `3064`, `3066`, `3068`, `3071`, `3072`, `3073`, `3076`, `3078`, `3079`, `3081`, `3084`, `3085`, `3087`, `445`, `3089`, `3091`, `3093`, `3094`, `3097`, `3098`, `3100`, `456`, `3104`, `3106`, `3107`, `3109`, `3111`, `3113`, `3115`, `3117`, `3118`, `3121`, `3122`, `3124`, `3126`, `3128`, `3130`, `3132`, `3135`, `3136`, `3137`, `3138`, `3141`, `3142`, `3144`, `3146`, `1080`, `3151`, `3153`, `3155`, `3156`, `3160`, `98`, `3162`, `3163`, `3165`, `3166`, `3169`, `3171`, `3173`, `3175`, `3176`, `3179`, `3182`, `3185`, `3186`, `3189`, `3192`, `3195`, `3198`, `3199`, `3201`, `3203`, `3204`, `3205`, `3208`, `3209`, `2597`, `3210`, `3213`, `3216`, `3217`, `3218`, `1592`, `3221`, `3222`, `3224`, `3227`, `3229`, `3230`, `3231`, `3233`, `3237`, `3240`, `3243`, `3246`, `3248`, `3251`, `3252`, `3253`, `347`, `3255`, `3258`, `3260`, `3263`, `3266`, `3267`, `3271`, `3272`, `3275`, `3276`, `3279`, `3281`, `3283`, `3286`, `3289`, `3290`, `3293`, `3294`, `3295`, `3297`, `3299`, `3300`, `3301`, `3304`, `3307`, `3311`, `136`, `3313`, `3314`, `3316`, `3318`, `3320`, `3324`, `3326`, `3330`, `3333`, `3335`, `3337`, `3341`, `3343`, `3346`, `3350`, `3352`, `3353`, `3355`, `3356`, `3358`, `3360`, `3362`, `3364`, `3366`, `3369`, `3370`, `3372`, `3373`, `3376`, `3378`, `3380`, `2106`, `3382`, `3386`, `3387`, `3390`, `3392`, `3393`, `3395`, `3398`, `3400`, `3403`, `3404`, `3407`, `3409`, `3410`, `1762`, `3412`, `3414`, `3416`, `3418`, `3420`, `3421`, `3424`, `3427`, `3430`, `3432`, `3433`, `3435`, `3437`, `3438`, `3440`, `3442`, `1205`, `3445`, `3447`, `3448`, `3449`, `3453`, `3455`, `3456`, `3457`, `1626`, `3461`, `3464`, `3465`, `3468`, `3471`, `3472`, `3475`, `3478`, `3131`, `3480`, `3482`, `3483`, `3486`, `3489`, `3492`, `3494`, `3496`, `3497`, `3500`, `3502`, `3505`, `3506`, `3509`, `3511`, `3514`, `3516`, `3519`, `3522`, `3523`, `3525`, `3531`, `3534`, `3536`, `3538`, `3540`, `3541`, `3543`, `3546`, `3549`, `3551`, `3554`, `3555`, `3558`, `3560`, `3562`, `3565`, `3567`, `3569`, `3573`, `3574`, `3577`, `3579`, `3581`, `3584`, `3587`, `3590`, `3592`, `3595`, `3597`, `3599`, `3601`, `3604`, `3607`, `3610`, `3612`, `3615`, `3617`, `3620`, `3623`, `3627`, `3629`, `3632`, `3634`, `3635`, `3637`, `3639`, `3642`, `3645`, `3648`, `3649`, `3652`, `3654`, `3655`, `3657`, `3658`, `3660`, `3665`, `2016`, `3669`, `3670`, `3672`, `3674`, `3675`, `3676`, `3678`, `3680`, `3683`, `3686`, `3689`, `3690`, `3693`, `3696`, `3698`, `3700`, `3702`, `3704`, `3706`, `3708`, `3710`, `3712`, `3714`, `3716`, `3719`, `3720`, `3721`, `3723`, `3724`, `3726`, `3730`, `3732`, `3735`, `3736`, `3737`, `3738`, `3741`, `3743`, `3746`, `3748`, `3750`, `3752`, `3755`, `3756`, `3757`, `3759`, `3761`, `3764`, `3765`, `3767`, `3771`, `3772`, `3774`, `3776`, `3778`, `3781`, `3783`, `3784`, `3786`, `3789`, `3790`, `3793`, `3796`, `3799`, `3802`, `3805`, `3806`, `3807`, `3809`, `3811`, `3815`, `3817`, `3818`, `3823`, `3825`, `3828`, `3831`, `3832`, `3834`, `3836`, `3838`, `3841`, `3843`, `3845`, `3847`, `3848`, `3850`, `1800`, `3852`, `3854`, `3856`, `3858`, `3861`, `3865`, `3866`, `3868`, `3869`, `3873`, `3875`, `3878`, `3879`, `3881`, `3884`, `3886`, `3888`, `3891`, `3893`, `3895`, `3897`, `3898`, `3900`, `3901`, `3904`, `3907`, `3908`, `3910`, `3912`, `3913`, `3914`, `3916`, `3917`, `3919`, `3920`, `3923`, `3924`, `3926`, `3928`, `3930`, `3931`, `3934`, `3939`, `3941`, `3942`, `3944`, `3948`, `3950`, `3951`, `3953`, `3956`, `3957`, `3958`, `3960`, `3963`, `3966`, `3969`, `3971`, `3975`, `3977`, `3979`, `3980`, `3983`, `3985`, `3987`, `3990`, `3991`, `3992`, `3994`, `3997`, `4000`, `4002`, `4005`, `4006`, `4008`, `4010`, `4013`, `4015`, `4019`, `4021`, `4024`, `4026`, `4028`, `4030`, `3795`, `4031`, `4033`, `4035`, `4037`, `4039`, `4042`, `4044`, `4047`, `4049`, `4051`, `4054`, `2235`, `4056`, `4059`, `4061`, `4062`, `4063`, `4065`, `4067`, `4069`, `4071`, `4072`, `4075`, `4077`, `4080`, `4083`, `4086`, `4088`, `4090`, `4092`, `4094`, `4095`, `4097`, `4098`, `979`, `4099`, `4100`, `4102`, `4104`, `4107`, `4109`, `4111`, `4112`, `4113`, `4117`, `4118`, `4120`, `4122`, `4124`, `4125`, `4126`, `4128`, `4129`, `4131`, `4134`, `4135`, `4136`, `4138`, `4141`, `4143`, `4146`, `4148`, `4150`, `4152`, `4154`, `4157`, `4161`, `4163`, `4164`, `4167`, `4168`, `4170`, `4173`, `4175`, `4177`, `4178`, `4180`, `4183`, `4185`, `4188`, `4189`, `4190`, `4192`, `4193`, `4195`, `4197`, `4199`, `4201`, `4203`, `4204`, `4206`, `4208`, `4209`, `4211`, `4214`, `4216`, `4218`, `4220`, `4221`, `4224`, `4226`, `4228`, `4230`, `4232`, `4235`, `4238`, `4240`, `4242`, `4244`, `4247`, `4248`, `4250`, `4252`, `123`, `4254`, `4255`, `4256`, `4258`, `4260`, `4261`, `4262`, `4264`, `4266`, `4267`, `4269`, `4271`, `4273`, `4275`, `4278`, `4279`, `4281`, `4282`, `4283`, `4285`, `4286`, `4289`, `4292`, `4294`, `4297`, `4299`, `4302`, `4303`, `4305`, `4307`, `4308`, `4312`, `4314`, `4316`, `4318`, `4321`, `4323`, `4325`, `4327`, `4329`, `4332`, `4335`, `4336`, `4338`, `4341`, `4342`, `4343`, `4344`, `4347`, `4348`, `4351`, `4354`, `4357`, `4358`, `2303`, `4360`, `4363`, `4366`, `4368`, `4370`, `4371`, `4374`, `3317`, `4375`, `4378`, `4381`, `4384`, `4387`, `4390`, `4392`, `4394`, `4397`, `4399`, `3754`, `4401`, `4402`, `4405`, `4407`, `4410`, `4411`, `4414`, `4415`, `4417`, `4420`, `4422`, `4423`, `4426`, `4429`, `4430`, `4433`, `4435`, `4436`, `4438`, `4440`, `4441`, `4442`, `4444`, `4447`, `4450`, `4451`, `4453`, `4454`, `4455`, `4456`, `4458`, `4460`, `4462`, `4465`, `4467`, `4468`, `4469`, `4471`, `4475`, `4477`, `4480`, `4481`, `2509`, `4484`, `4486`, `4487`, `4490`, `4492`, `4493`, `4495`, `4496`, `4498`, `4500`, `4503`, `4506`, `4508`, `4511`, `4512`, `4514`, `4516`, `4518`, `4520`, `4522`, `4524`, `4527`, `4528`, `4529`, `4532`, `2176`, `4536`, `4539`, `4541`, `4542`, `4543`, `4544`, `4545`, `4548`, `4549`, `4551`, `4553`, `4555`, `4559`, `4562`, `4564`, `4566`, `4569`, `4571`, `4574`, `4577`, `4578`, `4581`, `4584`, `4586`, `4589`, `4592`, `4593`, `4596`, `4598`, `4602`, `4605`, `4607`, `4609`, `4611`, `4613`, `4616`, `4618`, `4620`, `4622`, `4624`, `4627`, `4628`, `4629`, `4630`, `4631`, `4632`, `4633`, `4635`, `4637`, `4638`, `4640`, `4642`, `4645`, `4647`, `4649`, `4651`, `4653`, `4655`, `4657`, `4659`, `4660`, `4661`, `4662`, `4664`, `4665`, `4666`, `4669`, `4672`, `4673`, `4675`, `4678`, `4679`, `4681`, `4682`, `4685`, `4687`, `4688`, `4689`, `4692`, `4695`, `4698`, `4700`, `4702`, `4705`, `4707`, `4710`, `4712`, `4713`, `4715`, `4718`, `4719`, `4722`, `4724`, `4726`, `4729`, `4730`, `4732`, `4733`, `4734`, `4736`, `4737`, `4739`, `4741`, `4743`, `4745`, `4748`, `4750`, `4753`, `4755`, `4757`, `4759`, `4762`, `4763`, `4765`, `4767`, `4768`, `4770`, `4772`, `4775`, `4777`, `4779`, `4781`, `4784`, `4786`, `4787`, `4790`, `3108`, `4793`, `4794`, `4797`, `4798`, `4801`, `4803`, `4805`, `4806`, `4808`, `4014`, `4809`, `4811`, `4813`, `4815`, `4818`, `4821`, `4824`, `4826`, `4827`, `4830`, `4833`, `4835`, `4650`, `4838`, `4841`, `4843`, `4844`, `4846`, `4847`, `4848`, `4849`, `4851`, `4853`, `4855`, `4857`, `4860`, `4861`, `4862`, `4865`, `4867`, `4868`, `4870`, `4874`, `4875`, `4877`, `4882`, `4883`, `4885`, `4888`, `4890`, `4891`, `4892`, `4894`, `4896`, `4899`, `4901`, `4904`, `4907`, `4908`, `4615`, `4911`, `4914`, `4916`, `4918`, `4920`, `4921`, `4924`, `4926`, `4929`, `4930`, `4931`, `4934`, `4936`, `4937`, `4939`, `4942`, `4945`, `4948`, `2484`, `4949`, `4950`, `4952`, `4953`, `4956`, `4957`, `914`, `4958`, `4959`, `4961`, `4963`, `4964`, `4967`, `4969`, `4970`, `4973`, `1259`, `4974`, `4977`, `4978`, `4979`, `4982`, `4984`, `4985`, `4988`, `4991`, `4994`, `4995`, `3747`, `4997`, `4999`, `5001`, `5002`, `5004`, `5006`, `5009`, `665`, `2784`, `1854`, `5011`, `5012`, `5014`, `5016`, `5018`, `5021`, `5022`, `5025`, `5028`, `5031`, `5033`, `5036`, `5037`, `5039`, `3846`, `5040`, `5042`, `5044`, `5046`, `5048`, `5050`, `5017`, `5053`, `5054`, `5055`, `5057`, `5059`, `5061`, `5064`, `5067`, `5068`, `5071`, `5074`, `5076`, `5078`, `5080`, `5083`, `5086`, `5088`, `5091`, `5093`, `5097`, `5099`, `5101`, `5102`, `5103`, `5104`, `5108`, `5110`, `5112`, `5085`, `5116`, `5118`, `5120`, `5122`, `5125`, `5126`, `5128`, `5130`, `5132`, `5134`, `5136`, `5139`, `5141`, `5142`, `5143`, `5146`, `5149`, `5151`, `5154`, `5156`, `5159`, `5162`, `5165`, `5167`, `5171`, `5173`, `5176`, `5178`, `5182`, `5185`, `5186`, `5187`, `5190`, `5192`, `5196`, `5197`, `5198`, `5199`, `5201`, `4873`, `5203`, `5207`, `5209`, `5212`, `5215`, `5217`, `5219`, `5222`, `5223`, `5225`, `5227`, `5229`, `5231`, `5232`, `5234`, `5236`, `5237`, `5240`, `5242`, `5244`, `5246`, `5248`, `5250`, `5251`, `5255`, `5257`, `5258`, `5259`, `5261`, `5264`, `5268`, `5271`, `2858`, `5272`, `5274`, `5275`, `5277`, `5278`, `5281`, `5282`, `5285`, `5287`, `5289`, `5291`, `5292`, `5295`, `5297`, `5298`, `5299`, `5300`, `5302`, `5303`, `5305`, `5307`, `446`, `5309`, `5310`, `5312`, `5315`, `5317`, `5318`, `5320`, `3824`, `5323`, `5324`, `5326`, `5329`, `5331`, `5333`, `5336`, `5338`, `5339`, `5340`, `5342`, `5345`, `5347`, `5349`, `5351`, `5353`, `5355`, `5357`, `3381`, `5358`, `5359`, `5360`, `796`, `5362`, `5365`, `5368`, `5369`, `5372`, `5374`, `5377`, `5379`, `5381`, `5382`, `5383`, `5384`, `5387`, `5389`, `5391`, `5392`, `5395`, `5396`, `5397`, `5400`, `5403`, `5406`, `5408`, `5411`, `5413`, `5415`, `5418`, `5422`, `5424`, `5425`, `5428`, `5431`, `5434`, `5435`, `5437`, `5438`, `5441`, `5442`, `5444`, `5446`, `5449`, `5452`, `5456`, `5458`, `5461`, `5466`, `5468`, `5471`, `5474`, `5476`, `5478`, `5481`, `5483`, `5486`, `5487`, `5489`, `5492`, `5493`, `5496`, `5498`, `5499`, `5501`, `5503`, `5504`, `5507`, `5510`, `5514`, `5516`, `5427`, `1805`, `5519`, `5521`, `5522`, `5523`, `5526`, `5527`, `5529`, `5531`, `5532`, `5534`, `5535`, `5536`, `5538`, `5539`, `5542`, `5545`, `5547`, `5548`, `5549`, `5550`, `5552`, `5554`, `5555`, `5556`, `5558`, `5560`, `5561`, `5564`, `5565`, `5567`, `5569`, `5572`, `5573`, `5575`, `5578`, `5581`, `5584`, `5588`, `5591`, `5593`, `5594`, `5596`, `5598`, `5599`, `5603`, `5605`, `5607`, `5609`, `5611`, `5612`, `5613`, `5615`, `5616`, `5619`, `5621`, `5622`, `5625`, `5627`, `5630`, `5633`, `5635`, `5639`, `5642`, `5645`, `5647`, `5650`, `5651`, `5652`, `5653`, `5654`, `5655`, `5656`, `5658`, `5659`, `5660`, `5663`, `5664`, `5667`, `5668`, `5669`, `5670`, `5671`, `5672`, `5676`, `5680`, `5682`, `5683`, `5684`, `5685`, `5687`, `5690`, `5692`, `5695`, `5696`, `5697`, `5699`, `5701`, `5703`, `5705`, `5706`, `5709`, `5710`, `5712`, `5714`, `5716`, `5718`, `5720`, `5723`, `5726`, `5727`, `5729`, `5732`, `5734`, `5736`, `5738`, `5741`, `5743`, `5744`, `5747`, `5749`, `5751`, `5752`, `5754`, `5756`, `5759`, `5760`, `5764`, `5766`, `3947`, `5769`, `5770`, `5774`, `5775`, `5777`, `5779`, `5782`, `5784`, `5786`, `5789`, `5791`, `5794`, `5796`, `5798`, `5799`, `5802`, `5804`, `5806`, `5810`, `5811`, `5813`, `5815`, `5817`, `5819`, `5821`, `5824`, `5825`, `5828`, `5830`, `5833`, `5834`, `5836`, `5837`, `5838`, `5840`, `5842`, `5844`, `5846`, `5848`, `5849`, `5850`, `5853`, `5855`, `5857`, `5858`, `483`, `5860`, `5863`, `5864`, `5866`, `5870`, `5872`, `5874`, `5876`, `5879`, `5881`, `5882`, `5885`, `5886`, `5887`, `5889`, `5891`, `5893`, `5895`, `5896`, `5898`, `5900`, `5902`, `5904`, `5906`, `5909`, `5911`, `5912`, `5914`, `5916`, `5921`, `5923`, `5924`, `5926`, `5928`, `5931`, `5933`, `5936`, `5938`, `5940`, `5941`, `5945`, `5947`, `5949`, `5951`, `5953`, `5956`, `5958`, `5960`, `5963`, `5965`, `5966`, `5968`, `5971`, `5973`, `5975`, `5978`, `5980`, `5983`, `5984`, `5986`, `5987`, `5990`, `5991`, `5994`, `5996`, `5997`, `5999`, `6001`, `6002`, `6005`, `6007`, `6009`, `6011`, `6014`, `6016`, `6020`, `6022`, `6024`, `6025`, `6028`, `6029`, `6030`, `6033`, `6036`, `6038`, `6039`, `6040`, `6042`, `6044`, `6045`, `6046`, `6048`, `6050`, `6052`, `6053`, `6054`, `6055`, `6058`, `6060`, `6062`, `6063`, `6065`, `3788`, `6068`, `6071`, `6073`, `6074`, `6077`, `6078`, `6080`, `6081`, `6084`, `1254`, `6087`, `6089`, `6091`, `6094`, `6095`, `6098`, `6099`, `266`, `6100`, `6102`, `6103`, `6104`, `6106`, `6107`, `6109`, `6110`, `4817`, `6112`, `6115`, `6117`, `6118`, `5491`, `3359`, `6119`, `6121`, `6123`, `6126`, `6128`, `6130`, `6132`, `6136`, `6137`, `6139`, `6141`, `6142`, `6145`, `6147`, `6149`, `6151`, `6154`, `6156`, `6157`, `6158`, `6160`, `6163`, `6165`, `6167`, `6168`, `6170`, `6174`, `6178`, `835`, `4523`, `6180`, `4485`, `6181`, `6184`, `6187`, `6190`, `6193`, `6197`, `6199`, `6200`, `6202`, `6204`, `6205`, `6207`, `6209`, `6212`, `6215`, `6218`, `6219`, `6221`, `6223`, `6226`, `6228`, `6230`, `6233`, `6234`, `6236`, `6238`, `6241`, `6243`, `6246`, `6248`, `6250`, `6251`, `6253`, `6254`, `6256`, `6257`, `6259`, `6261`, `6264`, `6266`, `6267`, `6268`, `6270`, `6272`, `6275`, `6277`, `6279`, `2497`, `6282`, `6284`, `6287`, `6289`, `6290`, `6291`, `6293`, `6296`, `6297`, `6300`, `6302`, `6303`, `6307`, `6309`, `6311`, `2972`, `6314`, `6317`, `6319`, `6322`, `6324`, `6326`, `6328`, `6331`, `6332`, `6334`, `6336`, `6338`, `6339`, `6341`, `6344`, `6345`, `6346`, `6349`, `6352`, `6353`, `6355`, `6356`, `6359`, `5488`, `6361`, `6362`, `6365`, `6366`, `6368`, `6371`, `6373`, `6375`, `6377`, `6378`, `6380`, `6383`, `6386`, `6388`, `6390`, `6391`, `1351`, `6393`, `6395`, `6396`, `6397`, `6399`, `6401`, `6402`, `6403`, `6406`, `6408`, `6409`, `6411`, `6414`, `6417`, `6420`, `6423`, `6425`, `6429`, `6430`, `6431`, `910`, `6433`, `6434`, `6435`, `6437`, `2487`, `6439`, `6441`, `6445`, `6448`, `6450`, `6454`, `6456`, `6458`, `6460`, `6463`, `6464`, `6467`, `6468`, `6470`, `6472`, `6474`, `6477`, `6478`, `6479`, `6480`, `6482`, `6485`, `6486`, `6489`, `6491`, `6494`, `6497`, `6499`, `6502`, `6504`, `6505`, `6507`, `6509`, `6510`, `6512`, `6515`, `6516`, `6517`, `6519`, `6522`, `6524`, `6525`, `6527`, `6529`, `6532`, `1640`, `6533`, `6534`, `6536`, `6539`, `6542`, `4355`, `6545`, `6546`, `6548`, `6550`, `6551`, `6552`, `6555`, `6556`, `6558`, `6560`, `6563`, `6564`, `6566`, `6568`, `6569`, `6570` |
</details>
### Accuracy
| Type | Score |
| --- | --- |
| `TOKEN_F` | 100.00 |
| `TOKEN_P` | 100.00 |
| `TOKEN_R` | 100.00 |
| `TOKEN_ACC` | 100.00 |
| `SENTS_F` | 100.00 |
| `SENTS_P` | 100.00 |
| `SENTS_R` | 100.00 |
| `TAG_ACC` | 88.93 |
| `POS_ACC` | 96.52 |
| `MORPH_ACC` | 100.00 |
| `MORPH_PER_FEAT` | 0.00 |
| `DEP_UAS` | 89.48 |
| `DEP_LAS` | 87.18 |
| `LEMMA_ACC` | 94.51 | |
facebook/wav2vec2-xlsr-53-espeak-cv-ft | facebook | 2021-12-10T17:18:39Z | 483,555 | 28 | transformers | [
"transformers",
"pytorch",
"wav2vec2",
"automatic-speech-recognition",
"speech",
"audio",
"phoneme-recognition",
"dataset:common_voice",
"arxiv:2109.11680",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | automatic-speech-recognition | 2022-03-02T23:29:05Z | ---
language: multi-lingual
datasets:
- common_voice
tags:
- speech
- audio
- automatic-speech-recognition
- phoneme-recognition
widget:
- example_title: Librispeech sample 1
src: https://cdn-media.huggingface.co/speech_samples/sample1.flac
- example_title: Librispeech sample 2
src: https://cdn-media.huggingface.co/speech_samples/sample2.flac
license: apache-2.0
---
# Wav2Vec2-Large-XLSR-53 finetuned on multi-lingual Common Voice
This checkpoint leverages the pretrained checkpoint [wav2vec2-large-xlsr-53](https://huggingface.co/facebook/wav2vec2-large-xlsr-53)
and is fine-tuned on [CommonVoice](https://huggingface.co/datasets/common_voice) to recognize phonetic labels in multiple languages.
When using the model make sure that your speech input is sampled at 16kHz.
Note that the model outputs a string of phonetic labels. A dictionary mapping phonetic labels to words
has to be used to map the phonetic output labels to output words.
[Paper: Simple and Effective Zero-shot Cross-lingual Phoneme Recognition](https://arxiv.org/abs/2109.11680)
Authors: Qiantong Xu, Alexei Baevski, Michael Auli
**Abstract**
Recent progress in self-training, self-supervised pretraining and unsupervised learning enabled well performing speech recognition systems without any labeled data. However, in many cases there is labeled data available for related languages which is not utilized by these methods. This paper extends previous work on zero-shot cross-lingual transfer learning by fine-tuning a multilingually pretrained wav2vec 2.0 model to transcribe unseen languages. This is done by mapping phonemes of the training languages to the target language using articulatory features. Experiments show that this simple method significantly outperforms prior work which introduced task-specific architectures and used only part of a monolingually pretrained model.
The original model can be found under https://github.com/pytorch/fairseq/tree/master/examples/wav2vec#wav2vec-20.
# Usage
To transcribe audio files the model can be used as a standalone acoustic model as follows:
```python
from transformers import Wav2Vec2Processor, Wav2Vec2ForCTC
from datasets import load_dataset
import torch
# load model and processor
processor = Wav2Vec2Processor.from_pretrained("facebook/wav2vec2-xlsr-53-espeak-cv-ft")
model = Wav2Vec2ForCTC.from_pretrained("facebook/wav2vec2-xlsr-53-espeak-cv-ft")
# load dummy dataset and read soundfiles
ds = load_dataset("patrickvonplaten/librispeech_asr_dummy", "clean", split="validation")
# tokenize
input_values = processor(ds[0]["audio"]["array"], return_tensors="pt").input_values
# retrieve logits
with torch.no_grad():
logits = model(input_values).logits
# take argmax and decode
predicted_ids = torch.argmax(logits, dim=-1)
transcription = processor.batch_decode(predicted_ids)
# => should give ['m ɪ s t ɚ k w ɪ l t ɚ ɪ z ð ɪ ɐ p ɑː s əl l ʌ v ð ə m ɪ d əl k l æ s ɪ z æ n d w iː aʊ ɡ l æ d t ə w ɛ l k ə m h ɪ z ɡ ɑː s p ə']
``` |
dragosnicolae555/ALR_BERT | dragosnicolae555 | 2021-12-10T16:27:49Z | 5 | 0 | transformers | [
"transformers",
"pytorch",
"albert",
"fill-mask",
"ro",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | fill-mask | 2022-03-02T23:29:05Z | ---
language: ro
---
# ALBert
The ALR-Bert , **cased** model for Romanian, trained on a 15GB corpus!
ALR-BERT is a multi-layer bidirectional Transformer encoder that shares ALBERT's factorized embedding parameterization and cross-layer sharing. ALR-BERT-base inherits ALBERT-base and features 12 parameter-sharing layers, a 128-dimension embedding size, 768 hidden units, 12 heads, and GELU non-linearities. Masked language modeling (MLM) and sentence order prediction (SOP) losses are the two objectives that ALBERT is pre-trained on. For ALR-BERT, we preserve both these objectives.
The model was trained using 40 batches per GPU (for 128 sequence length) and then 20 batches per GPU (for 512 sequence length). Layer-wise Adaptive Moments optimizer for Batch (LAMB) training was utilized, with a warm-up over the first 1\% of steps up to a learning rate of 1e4, then a decay. Eight NVIDIA Tesla V100 SXM3 with 32GB memory were used, and the pre-training process took around 2 weeks per model.
Training methodology follows closely work previous done in Romanian Bert (https://huggingface.co/dumitrescustefan/bert-base-romanian-cased-v1)
### How to use
```python
from transformers import AutoTokenizer, AutoModel
import torch
# load tokenizer and model
tokenizer = AutoTokenizer.from_pretrained("dragosnicolae555/ALR_BERT")
model = AutoModel.from_pretrained("dragosnicolae555/ALR_BERT")
#Here add your magic
```
Remember to always sanitize your text! Replace ``s`` and ``t`` cedilla-letters to comma-letters with :
```
text = text.replace("ţ", "ț").replace("ş", "ș").replace("Ţ", "Ț").replace("Ş", "Ș")
```
because the model was **NOT** trained on cedilla ``s`` and ``t``s. If you don't, you will have decreased performance due to <UNK>s and increased number of tokens per word.
### Evaluation
Here, we evaluate ALR-BERT on Simple Universal Dependencies task. One model for each task, evaluating labeling performance on the UPOS (Universal Part-of-Speech) and the XPOS (Extended Part-of-Speech) (eXtended Part-of-Speech). We compare our proposed ALR-BERT with Romanian BERT and multiligual BERT, using the cased version. To counteract the random seed effect, we repeat each experiment five times and simply provide the mean score.
| Model | UPOS | XPOS | MLAS | AllTags |
|--------------------------------|:-----:|:------:|:-----:|:-----:|
| M-BERT (cased) | 93.87 | 89.89 | 90.01 | 87.04|
| Romanian BERT (cased) | 95.56 | 95.35 | 92.78 | 93.22 |
| ALR-BERT (cased) | **87.38** | **84.05** | **79.82** | **78.82**|
### Corpus
The model is trained on the following corpora (stats in the table below are after cleaning):
| Corpus | Lines(M) | Words(M) | Chars(B) | Size(GB) |
|----------- |:--------: |:--------: |:--------: |:--------: |
| OPUS | 55.05 | 635.04 | 4.045 | 3.8 |
| OSCAR | 33.56 | 1725.82 | 11.411 | 11 |
| Wikipedia | 1.54 | 60.47 | 0.411 | 0.4 |
| **Total** | **90.15** | **2421.33** | **15.867** | **15.2** |
|
explosion/id_udv25_indonesiangsd_trf | explosion | 2021-12-10T16:10:32Z | 2 | 0 | spacy | [
"spacy",
"token-classification",
"id",
"license:cc-by-sa-4.0",
"model-index",
"region:us"
] | token-classification | 2022-03-02T23:29:05Z | ---
tags:
- spacy
- token-classification
language:
- id
license: cc-by-sa-4.0
model-index:
- name: id_udv25_indonesiangsd_trf
results:
- task:
name: TAG
type: token-classification
metrics:
- name: TAG (XPOS) Accuracy
type: accuracy
value: 0.9479067555
- task:
name: POS
type: token-classification
metrics:
- name: POS (UPOS) Accuracy
type: accuracy
value: 0.9316523945
- task:
name: MORPH
type: token-classification
metrics:
- name: Morph (UFeats) Accuracy
type: accuracy
value: 0.9590072946
- task:
name: LEMMA
type: token-classification
metrics:
- name: Lemma Accuracy
type: accuracy
value: 0.9804947669
- task:
name: UNLABELED_DEPENDENCIES
type: token-classification
metrics:
- name: Unlabeled Attachment Score (UAS)
type: f_score
value: 0.8615977082
- task:
name: LABELED_DEPENDENCIES
type: token-classification
metrics:
- name: Labeled Attachment Score (LAS)
type: f_score
value: 0.7838256704
- task:
name: SENTS
type: token-classification
metrics:
- name: Sentences F-Score
type: f_score
value: 0.9297777778
---
UD v2.5 benchmarking pipeline for UD_Indonesian-GSD
| Feature | Description |
| --- | --- |
| **Name** | `id_udv25_indonesiangsd_trf` |
| **Version** | `0.0.1` |
| **spaCy** | `>=3.2.1,<3.3.0` |
| **Default Pipeline** | `experimental_char_ner_tokenizer`, `transformer`, `tagger`, `morphologizer`, `parser`, `experimental_edit_tree_lemmatizer` |
| **Components** | `experimental_char_ner_tokenizer`, `transformer`, `senter`, `tagger`, `morphologizer`, `parser`, `experimental_edit_tree_lemmatizer` |
| **Vectors** | 0 keys, 0 unique vectors (0 dimensions) |
| **Sources** | [Universal Dependencies v2.5](https://lindat.mff.cuni.cz/repository/xmlui/handle/11234/1-3105) (Zeman, Daniel; et al.) |
| **License** | `CC BY-SA 4.0` |
| **Author** | [Explosion](https://explosion.ai) |
### Label Scheme
<details>
<summary>View label scheme (1325 labels for 6 components)</summary>
| Component | Labels |
| --- | --- |
| **`experimental_char_ner_tokenizer`** | `TOKEN` |
| **`senter`** | `I`, `S` |
| **`tagger`** | `APP`, `ASP`, `ASP+PS2`, `ASP+PS3`, `ASP+T--`, `ASS`, `ASS+PS3`, `B--`, `B--+PS3`, `B--+T--`, `CC-`, `CC-+PS3`, `CC-+T--`, `CD-`, `CD-+PS3`, `CO-`, `CO-+PS3`, `D--`, `D--+PS2`, `D--+PS3`, `D--+T--`, `F--`, `F--+PS1`, `F--+PS2`, `F--+PS3`, `F--+T--`, `G--`, `G--+PS3`, `G--+T--`, `H--`, `H--+T--`, `I--`, `M--`, `M--+PS3`, `M--+T--`, `NOUN`, `NPD`, `NPD+PS2`, `NPD+PS3`, `NSD`, `NSD+PS1`, `NSD+PS2`, `NSD+PS3`, `NSD+T--`, `NSF`, `NSM`, `NSM+PS3`, `NUM`, `O--`, `PP1`, `PP1+T--`, `PP2`, `PP3`, `PP3+T--`, `PROPN`, `PS1`, `PS1+VSA`, `PS1+VSA+T--`, `PS2`, `PS2+VSA`, `PS3`, `PUNCT`, `R--`, `R--+PS1`, `R--+PS2`, `R--+PS3`, `S--`, `S--+PS3`, `T--`, `VERB`, `VPA`, `VSA`, `VSA+PS1`, `VSA+PS2`, `VSA+PS3`, `VSA+T--`, `VSP`, `VSP+PS3`, `VSP+T--`, `W--`, `W--+T--`, `X`, `X--`, `Z--` |
| **`morphologizer`** | `POS=PROPN`, `POS=AUX`, `POS=DET\|PronType=Ind`, `Number=Sing\|POS=NOUN`, `POS=PRON\|PronType=Rel`, `Number=Sing\|POS=VERB\|Voice=Pass`, `POS=ADP`, `POS=PUNCT`, `Number=Sing\|POS=PROPN`, `POS=NOUN`, `POS=ADV`, `POS=CCONJ`, `Number=Sing\|POS=VERB\|Voice=Act`, `POS=VERB`, `POS=DET\|PronType=Tot`, `Number=Sing\|Number[psor]=Sing\|POS=NOUN\|Person[psor]=3`, `POS=SCONJ`, `Number=Plur\|POS=PRON\|Person=3\|PronType=Prs`, `POS=DET\|PronType=Dem`, `NumType=Card\|POS=NUM`, `Degree=Pos\|Number=Sing\|POS=NOUN`, `Degree=Pos\|Number=Sing\|POS=ADJ`, `NumType=Card\|POS=DET\|PronType=Ind`, `Degree=Pos\|Number=Sing\|POS=ADP`, `Number[psor]=Sing\|POS=NOUN\|Person[psor]=3`, `Number=Sing\|POS=VERB`, `POS=PRON\|PronType=Int`, `Number=Sing\|POS=ADV\|Voice=Act`, `Number=Sing\|Number[psor]=Sing\|POS=VERB\|Person[psor]=3\|Voice=Act`, `Number=Sing\|POS=ADP\|Voice=Act`, `POS=ADJ`, `Number[psor]=Sing\|POS=ADP\|Person[psor]=3`, `Degree=Pos\|Number=Sing\|POS=DET`, `Degree=Pos\|Number=Sing\|POS=VERB`, `POS=PRON\|PronType=Dem`, `POS=PART\|Polarity=Neg`, `Degree=Pos\|Number=Sing\|Number[psor]=Sing\|POS=NOUN\|Person[psor]=3`, `Number=Sing\|POS=PRON\|Person=1\|Polite=Form\|PronType=Prs`, `Number=Sing\|POS=ADJ`, `Number=Sing\|POS=PRON\|Person=3\|PronType=Prs`, `POS=SYM`, `POS=ADV\|PronType=Int`, `Clusivity=In\|Number=Plur\|POS=PRON\|Person=1\|PronType=Prs`, `Number=Sing\|POS=ADJ\|Voice=Act`, `Degree=Pos\|Number=Sing\|POS=PROPN`, `Degree=Pos\|Number=Sing\|POS=ADV`, `Number=Sing\|Number[psor]=Sing\|POS=VERB\|Person[psor]=3\|Voice=Pass`, `Number=Sing\|Number[psor]=Sing\|POS=NOUN\|Person[psor]=3\|Voice=Act`, `Number=Sing\|POS=PROPN\|Voice=Act`, `Number=Sing\|POS=NOUN\|Voice=Act`, `POS=DET`, `Number=Sing\|POS=DET\|Voice=Act`, `NumType=Card\|POS=PRON\|PronType=Ind`, `Number=Sing\|Number[psor]=Sing\|POS=ADV\|Person[psor]=3`, `Number=Sing\|POS=DET`, `Number=Sing\|POS=ADJ\|Voice=Pass`, `POS=CCONJ\|PronType=Dem`, `Number=Sing\|POS=ADP`, `Number=Sing\|POS=ADV`, `Number=Sing\|POS=PRON\|Person=2\|Polite=Infm\|PronType=Prs`, `Number[psor]=Sing\|POS=NOUN\|Person[psor]=2`, `Number=Plur\|Number[psor]=Sing\|POS=NOUN\|Person[psor]=2`, `Number=Sing\|POS=PRON`, `POS=PRON`, `NumType=Card\|POS=ADV\|PronType=Ind`, `NumType=Card\|Number[psor]=Sing\|POS=NUM\|Person[psor]=3`, `Number=Sing\|POS=PRON\|Person=3\|Polite=Form\|PronType=Prs`, `POS=DET\|PronType=Int`, `Number=Sing\|Number[psor]=Sing\|POS=PROPN\|Person[psor]=3`, `Number=Sing\|Number[psor]=Sing\|POS=PROPN\|Person[psor]=1`, `Degree=Pos\|Number=Sing\|POS=SCONJ`, `POS=PRON\|PronType=Ind`, `Number=Sing\|Number[psor]=Sing\|POS=NOUN\|Person[psor]=3\|Voice=Pass`, `POS=VERB\|PronType=Ind`, `Degree=Pos\|Number=Sing\|Number[psor]=Sing\|POS=ADJ\|Person[psor]=3`, `Number=Sing\|POS=SCONJ`, `Degree=Sup\|Number=Sing\|Number[psor]=Sing\|POS=ADJ\|Person[psor]=3`, `Degree=Pos\|Number=Sing\|Number[psor]=Sing\|POS=ADP\|Person[psor]=3`, `Number=Plur\|Number[psor]=Sing\|POS=NOUN\|Person[psor]=3`, `Number=Plur\|POS=NOUN`, `POS=ADV\|PronType=Dem`, `Number=Sing\|POS=VERB\|Person=1\|Voice=Act`, `Degree=Sup\|Number=Sing\|POS=ADJ`, `Number=Sing\|POS=ADP\|Voice=Pass`, `Number[psor]=Sing\|POS=PART\|Person[psor]=3`, `Number=Sing\|POS=NOUN\|Voice=Pass`, `Degree=Pos\|Number=Sing\|Number[psor]=Sing\|POS=CCONJ\|Person[psor]=3`, `POS=PART`, `Number=Sing\|Number[psor]=Sing\|POS=PART\|Person[psor]=3\|Voice=Pass`, `Degree=Sup\|Number=Sing\|POS=ADV`, `Number=Sing\|POS=PRON\|Voice=Act`, `Number=Sing\|Number[psor]=Sing\|POS=PROPN\|Person[psor]=3\|Voice=Act`, `Gender=Masc\|Number=Sing\|POS=PROPN`, `Number[psor]=Sing\|POS=PRON\|Person[psor]=3\|PronType=Tot`, `Degree=Pos\|Number=Sing\|POS=X`, `POS=PRON\|PronType=Tot`, `Degree=Pos\|Number=Sing\|Number[psor]=Sing\|POS=ADV\|Person[psor]=3`, `Degree=Pos\|Number=Sing\|Number[psor]=Sing\|POS=VERB\|Person[psor]=3`, `Number=Sing\|Number[psor]=Sing\|POS=ADP\|Person[psor]=3`, `Number=Sing\|Number[psor]=Sing\|POS=NOUN\|Person[psor]=2`, `POS=SCONJ\|PronType=Int`, `Number=Plur\|POS=PRON\|Person=2\|PronType=Prs`, `Number=Sing\|Number[psor]=Sing\|POS=VERB\|Person[psor]=1\|Voice=Act`, `Number[psor]=Sing\|POS=DET\|Person[psor]=3`, `Number=Sing\|Number[psor]=Sing\|POS=PRON\|Person[psor]=3`, `Clusivity=Ex\|Number=Plur\|POS=PRON\|Person=1\|PronType=Prs`, `Number=Plur\|POS=VERB\|Voice=Act`, `Number=Sing\|Number[psor]=Sing\|POS=ADV\|Person[psor]=3\|Voice=Act`, `Degree=Pos\|Number=Sing\|POS=NOUN\|Polarity=Neg`, `POS=X`, `Number[psor]=Sing\|POS=ADJ\|Person[psor]=3`, `Number=Sing\|Number[psor]=Sing\|POS=VERB\|Person[psor]=3`, `Number=Sing\|POS=PRON\|Person=2\|Polite=Form\|PronType=Prs`, `Number=Sing\|POS=PRON\|Person=1\|Polite=Infm\|PronType=Prs`, `Number=Sing\|POS=PROPN\|Voice=Pass`, `POS=ADV\|Polarity=Neg`, `NumType=Card\|Number=Sing\|POS=NUM`, `Number[psor]=Sing\|POS=ADV\|Person[psor]=2`, `Number[psor]=Sing\|POS=ADV\|Person[psor]=3`, `Degree=Sup\|Number=Sing\|POS=PROPN`, `POS=PROPN\|Polarity=Neg`, `Number=Sing\|Number[psor]=Sing\|POS=VERB\|Person[psor]=2\|Voice=Act`, `Number=Sing\|POS=PROPN\|Person=1\|Voice=Act`, `POS=SCONJ\|PronType=Dem`, `Number=Sing\|Number[psor]=Sing\|POS=ADV\|Person[psor]=2\|Voice=Act`, `Number=Sing\|POS=CCONJ`, `Degree=Sup\|Number=Sing\|POS=VERB`, `Number=Sing\|Number[psor]=Sing\|POS=ADJ\|Person[psor]=3`, `Number=Sing\|Number[psor]=Sing\|POS=ADJ\|Person[psor]=3\|Voice=Act`, `Degree=Pos\|Number=Sing\|POS=PRON`, `Number=Sing\|POS=ADV\|Voice=Pass`, `Number[psor]=Sing\|POS=ADP\|Person[psor]=2`, `Number=Sing\|POS=SYM`, `POS=ADJ\|Polarity=Neg`, `Degree=Pos\|NumType=Card\|Number=Sing\|POS=NUM`, `Number=Sing\|Number[psor]=Sing\|POS=SCONJ\|Person[psor]=3`, `Degree=Pos\|Number=Sing\|POS=CCONJ`, `Number[psor]=Sing\|POS=NOUN\|Person[psor]=1`, `Number=Sing\|POS=CCONJ\|Voice=Act`, `Gender=Masc\|Number=Sing\|POS=NOUN`, `Number=Sing\|Number[psor]=Sing\|POS=ADP\|Person[psor]=3\|Voice=Pass`, `Gender=Fem\|Number=Sing\|POS=PROPN`, `POS=VERB\|PronType=Dem`, `Number=Sing\|POS=PRON\|Person=2\|PronType=Prs`, `Gender=Masc\|Number=Sing\|Number[psor]=Sing\|POS=NOUN\|Person[psor]=3`, `Number=Sing\|POS=PART\|Voice=Act`, `Degree=Sup\|Number=Sing\|Number[psor]=Sing\|POS=NOUN\|Person[psor]=3`, `POS=ADP\|PronType=Int`, `Number[psor]=Sing\|POS=VERB\|Person[psor]=3`, `Number[psor]=Sing\|POS=PRON\|Person[psor]=3\|PronType=Rel`, `Degree=Pos\|Number=Sing\|POS=AUX`, `Number=Sing\|Number[psor]=Sing\|POS=NOUN\|Person[psor]=1`, `Number=Sing\|POS=SCONJ\|Voice=Pass`, `Degree=Sup\|Number=Sing\|POS=ADP`, `Number=Sing\|POS=SCONJ\|Voice=Act`, `NumType=Card\|POS=DET\|PronType=Int`, `Degree=Pos\|Number=Sing\|POS=PART\|Polarity=Neg`, `Degree=Sup\|Number=Sing\|POS=SCONJ`, `Number=Sing\|Number[psor]=Sing\|POS=NOUN\|Person[psor]=1\|Voice=Act`, `Number=Plur\|POS=ADJ`, `POS=VERB\|PronType=Int`, `Number=Sing\|POS=VERB\|Person=2\|Voice=Act`, `Degree=Pos\|Number=Sing\|Number[psor]=Sing\|POS=ADJ\|Person[psor]=2`, `Gender=Masc\|Number=Sing\|POS=ADJ`, `Number[psor]=Sing\|POS=ADV\|Person[psor]=3\|PronType=Tot`, `POS=DET\|PronType=Rel`, `Number=Sing\|POS=NOUN\|Polarity=Neg`, `Number=Sing\|Number[psor]=Sing\|POS=PROPN\|Person[psor]=2`, `NumType=Card\|Number=Sing\|POS=NUM\|Voice=Act`, `Degree=Pos\|Number=Plur\|POS=ADJ`, `Number[psor]=Sing\|POS=DET\|Person[psor]=3\|PronType=Tot`, `Number[psor]=Sing\|POS=PROPN\|Person[psor]=1`, `Gender=Fem\|Number=Sing\|POS=NOUN`, `Number=Sing\|POS=VERB\|Person=1`, `Degree=Pos\|Number=Sing\|Number[psor]=Sing\|POS=PROPN\|Person[psor]=3`, `NumType=Card\|Number[psor]=Sing\|POS=DET\|Person[psor]=3\|PronType=Ind`, `POS=ADV\|PronType=Tot`, `Degree=Pos\|Number=Plur\|POS=ADV`, `Number=Plur\|POS=ADV\|Voice=Act`, `POS=CCONJ\|PronType=Int`, `Degree=Pos\|Number=Sing\|POS=PART`, `Number[psor]=Sing\|POS=PRON\|Person[psor]=2`, `Number=Plur\|POS=VERB`, `Number=Sing\|Number[psor]=Sing\|POS=ADJ\|Person[psor]=3\|Voice=Pass`, `Degree=Pos\|Number=Sing\|POS=PUNCT`, `Number[psor]=Sing\|POS=ADP\|Person[psor]=1`, `Degree=Sup\|Number=Sing\|POS=NOUN`, `Number[psor]=Sing\|POS=PART\|Person[psor]=3\|Polarity=Neg`, `Number=Sing\|Number[psor]=Sing\|POS=ADP\|Person[psor]=3\|Voice=Act`, `POS=NOUN\|Polarity=Neg`, `Number[psor]=Sing\|POS=PROPN\|Person[psor]=2`, `Number=Sing\|Number[psor]=Sing\|POS=NOUN\|Person[psor]=2\|Voice=Act` |
| **`parser`** | `ROOT`, `acl`, `advcl`, `advmod`, `amod`, `appos`, `case`, `cc`, `ccomp`, `compound`, `compound:plur`, `conj`, `cop`, `csubj`, `csubj:pass`, `dep`, `det`, `fixed`, `flat`, `iobj`, `mark`, `nmod`, `nsubj`, `nsubj:pass`, `nummod`, `obj`, `obl`, `parataxis`, `punct`, `xcomp` |
| **`experimental_edit_tree_lemmatizer`** | `1`, `2`, `4`, `6`, `8`, `10`, `12`, `15`, `19`, `22`, `24`, `26`, `27`, `29`, `30`, `31`, `34`, `36`, `37`, `40`, `42`, `44`, `46`, `48`, `50`, `51`, `53`, `54`, `56`, `58`, `47`, `59`, `62`, `64`, `66`, `68`, `70`, `71`, `3`, `72`, `74`, `75`, `77`, `78`, `79`, `81`, `84`, `86`, `87`, `88`, `89`, `92`, `11`, `93`, `95`, `96`, `97`, `98`, `99`, `101`, `103`, `105`, `106`, `107`, `108`, `110`, `111`, `113`, `115`, `116`, `118`, `120`, `122`, `123`, `124`, `125`, `126`, `127`, `128`, `130`, `131`, `132`, `134`, `135`, `137`, `140`, `142`, `143`, `144`, `146`, `147`, `148`, `149`, `150`, `151`, `152`, `153`, `43`, `155`, `157`, `158`, `160`, `161`, `162`, `163`, `164`, `165`, `166`, `167`, `168`, `170`, `171`, `172`, `174`, `175`, `177`, `178`, `179`, `180`, `181`, `182`, `183`, `25`, `184`, `185`, `186`, `187`, `188`, `190`, `192`, `193`, `194`, `196`, `57`, `197`, `198`, `199`, `201`, `203`, `204`, `206`, `207`, `208`, `209`, `210`, `211`, `212`, `213`, `214`, `215`, `217`, `218`, `219`, `220`, `221`, `223`, `225`, `227`, `228`, `230`, `232`, `234`, `236`, `237`, `238`, `240`, `242`, `243`, `244`, `246`, `247`, `248`, `249`, `250`, `251`, `252`, `253`, `254`, `256`, `257`, `258`, `260`, `261`, `262`, `263`, `264`, `266`, `267`, `268`, `269`, `270`, `272`, `41`, `273`, `274`, `275`, `276`, `277`, `278`, `280`, `281`, `282`, `283`, `284`, `285`, `286`, `287`, `288`, `289`, `290`, `291`, `292`, `293`, `294`, `295`, `297`, `298`, `299`, `300`, `301`, `302`, `303`, `304`, `306`, `307`, `308`, `309`, `310`, `312`, `313`, `314`, `317`, `315`, `318`, `320`, `321`, `322`, `323`, `324`, `9`, `325`, `326`, `327`, `329`, `330`, `331`, `332`, `333`, `334`, `336`, `337`, `339`, `341`, `342`, `343`, `345`, `346`, `347`, `348`, `80`, `241`, `349`, `350`, `351`, `353`, `354`, `355`, `356`, `357`, `358`, `359`, `360`, `361`, `363`, `49`, `364`, `365`, `366`, `23`, `367`, `368`, `369`, `370`, `371`, `372`, `373`, `374`, `375`, `376`, `378`, `379`, `380`, `381`, `382`, `383`, `385`, `386`, `387`, `388`, `389`, `390`, `391`, `393`, `394`, `45`, `35`, `395`, `396`, `63`, `397`, `398`, `399`, `400`, `401`, `402`, `403`, `404`, `405`, `406`, `407`, `408`, `409`, `410`, `412`, `413`, `415`, `416`, `417`, `419`, `421`, `422`, `173`, `28`, `424`, `425`, `426`, `427`, `428`, `429`, `430`, `431`, `432`, `434`, `435`, `437`, `439`, `440`, `441`, `442`, `443`, `444`, `445`, `446`, `447`, `448`, `450`, `451`, `453`, `454`, `455`, `457`, `459`, `461`, `463`, `464`, `465`, `466`, `467`, `469`, `470`, `0`, `471`, `472`, `473`, `474`, `475`, `477`, `478`, `479`, `480`, `481`, `482`, `483`, `484`, `485`, `486`, `487`, `489`, `490`, `491`, `493`, `495`, `496`, `497`, `498`, `499`, `500`, `501`, `502`, `503`, `504`, `52`, `506`, `507`, `508`, `509`, `510`, `511`, `512`, `514`, `515`, `516`, `519`, `520`, `67`, `522`, `523`, `525`, `526`, `527`, `528`, `529`, `530`, `531`, `533`, `534`, `535`, `536`, `537`, `538`, `539`, `540`, `541`, `542`, `543`, `544`, `545`, `546`, `548`, `549`, `551`, `553`, `554`, `555`, `556`, `557`, `559`, `560`, `561`, `562`, `563`, `564`, `565`, `566`, `568`, `569`, `570`, `571`, `572`, `573`, `575`, `576`, `577`, `578`, `579`, `513`, `580`, `582`, `583`, `584`, `586`, `587`, `588`, `589`, `591`, `592`, `593`, `594`, `595`, `597`, `599`, `600`, `602`, `607`, `608`, `609`, `610`, `611`, `612`, `613`, `614`, `615`, `616`, `617`, `618`, `619`, `620`, `621`, `623`, `625`, `626`, `627`, `628`, `629`, `630`, `631`, `632`, `633`, `634`, `635`, `636`, `637`, `638`, `639`, `640`, `641`, `642`, `644`, `645`, `646`, `647`, `648`, `649`, `651`, `652`, `653`, `655`, `656`, `657`, `658`, `659`, `660`, `661`, `662`, `664`, `665`, `666`, `667`, `668`, `669`, `670`, `672`, `674`, `675`, `676`, `677`, `169`, `678`, `679`, `680`, `681`, `682`, `683`, `684`, `685`, `686`, `687`, `688`, `689`, `690`, `7`, `691`, `692`, `693`, `694`, `695`, `696`, `697`, `698`, `699`, `701`, `702`, `703`, `704`, `705`, `706`, `708`, `709`, `710`, `711`, `712`, `713`, `715`, `717`, `719`, `720`, `721`, `722`, `723`, `724`, `725`, `726`, `727`, `728`, `729`, `730`, `731`, `732`, `733`, `735`, `736`, `737`, `738`, `740`, `741`, `742`, `743`, `744`, `745`, `746`, `747`, `748`, `749`, `750`, `752`, `753`, `754`, `755`, `756`, `757`, `758`, `760`, `761`, `763`, `764`, `765`, `766`, `767`, `768`, `769`, `770`, `771`, `772`, `773`, `774`, `775`, `776`, `65`, `777`, `778`, `779`, `780`, `781`, `782`, `783`, `784`, `785`, `786`, `788`, `790`, `791`, `792`, `793`, `794`, `795`, `796`, `797`, `798`, `799`, `145`, `800`, `801`, `802`, `803`, `804`, `805`, `806`, `807`, `808`, `809`, `810`, `811`, `812`, `813`, `815`, `817`, `818`, `819`, `820`, `821`, `822`, `823`, `824`, `826`, `829`, `830`, `831`, `832`, `833`, `834`, `835`, `836`, `837`, `838`, `839`, `840`, `841`, `843`, `845`, `847`, `849`, `850`, `851`, `852`, `853`, `854`, `855`, `856`, `857`, `858`, `5`, `859`, `860`, `861`, `862`, `863`, `864`, `865`, `866`, `867`, `868`, `869`, `871`, `872`, `873`, `874`, `875`, `876`, `877`, `878`, `879`, `880`, `881`, `882`, `884`, `885`, `887`, `888`, `889`, `891`, `892`, `893`, `894`, `896`, `897`, `898`, `899`, `900`, `901`, `902`, `903`, `904`, `905`, `906`, `907`, `908`, `69`, `909`, `910`, `912`, `913`, `914`, `915`, `916`, `917`, `919`, `920`, `921`, `922`, `923`, `924`, `925`, `926`, `927`, `929`, `229`, `930`, `931`, `932`, `933`, `934`, `935`, `936`, `937`, `938`, `939`, `940`, `941`, `942`, `944`, `945`, `946`, `947`, `948`, `949`, `950`, `951`, `953`, `954`, `955`, `956`, `957`, `958`, `959`, `960`, `962`, `963`, `964`, `965`, `967`, `968`, `969`, `970`, `971`, `972`, `973`, `974`, `976`, `977`, `978`, `979`, `980`, `981`, `982`, `983`, `984`, `986`, `987`, `988`, `990`, `993`, `994`, `995`, `996`, `997`, `998`, `999`, `1000`, `1001`, `1002`, `1003`, `1004`, `1005`, `1006`, `1007`, `1008`, `1009`, `1012`, `1014`, `1015`, `1016`, `1019`, `1020`, `1021`, `1022`, `1023`, `1024`, `1025`, `1026`, `1027`, `1028`, `1029`, `1030`, `1031`, `1032`, `1033`, `1034`, `1035`, `1036`, `1037`, `1038`, `1039`, `1040`, `1041`, `1042`, `1043`, `1044`, `1045`, `1046`, `1047`, `1048`, `1049`, `1051`, `1052`, `1053`, `1054`, `1055`, `1056`, `1057`, `1058`, `1059`, `1060`, `1062`, `1063`, `1064`, `1065`, `1066`, `1068`, `1069`, `1070`, `1072`, `1074`, `1075`, `1076`, `1077`, `1078`, `1079`, `1080`, `1082`, `1083`, `1085`, `1086`, `1087`, `1088`, `1090`, `1091`, `1092`, `1093`, `1094`, `1095`, `1096`, `1097`, `1098`, `1099`, `1100`, `1101`, `673`, `1102`, `1103`, `1104`, `1106`, `1108`, `1109`, `1110`, `1111`, `1115`, `1116`, `1119`, `1120`, `1089`, `418`, `1121`, `1122`, `1123`, `1124`, `1125`, `1126`, `1127`, `1128`, `1129`, `1130`, `1131`, `1132`, `1134`, `1136`, `1137`, `1138`, `1139`, `1140`, `1141`, `1133`, `1142`, `1143`, `1144`, `1145`, `1146`, `1147`, `1148`, `1149`, `1150`, `1151`, `1153`, `1154`, `1156`, `1157`, `1158`, `1159`, `1160`, `1162`, `1164`, `1165`, `377`, `1166`, `1167`, `1168`, `1169`, `1170`, `1171`, `1172`, `1173`, `1174`, `1175`, `1176`, `1177`, `1179`, `1180`, `1181`, `1182`, `191`, `1183`, `1184`, `1185`, `1186`, `1187`, `1188`, `1190`, `1191`, `1192`, `1194`, `1195`, `1196`, `1197`, `1198`, `1199`, `1200`, `1201` |
</details>
### Accuracy
| Type | Score |
| --- | --- |
| `TOKEN_F` | 99.99 |
| `TOKEN_P` | 99.98 |
| `TOKEN_R` | 99.99 |
| `TOKEN_ACC` | 100.00 |
| `SENTS_F` | 92.98 |
| `SENTS_P` | 92.40 |
| `SENTS_R` | 93.56 |
| `TAG_ACC` | 94.79 |
| `POS_ACC` | 93.17 |
| `MORPH_ACC` | 95.90 |
| `DEP_UAS` | 86.16 |
| `DEP_LAS` | 78.38 |
| `LEMMA_ACC` | 98.05 | |
marshmellow77/roberta-base-cuad | marshmellow77 | 2021-12-10T15:22:42Z | 209 | 0 | transformers | [
"transformers",
"pytorch",
"roberta",
"question-answering",
"en",
"dataset:cuad",
"endpoints_compatible",
"region:us"
] | question-answering | 2022-03-02T23:29:05Z | ---
language: en
datasets:
- cuad
---
# RoBERTa Base Model fine-tuned with CUAD dataset
This model is the fine-tuned version of "RoBERTa Base"
using CUAD dataset https://huggingface.co/datasets/cuad
Link for model checkpoint: https://github.com/TheAtticusProject/cuad
For the use of the model with CUAD: https://github.com/marshmellow77/cuad-demo
and https://huggingface.co/spaces/marshmellow77/contract-review
Related blog posts:
- https://towardsdatascience.com/how-to-set-up-a-machine-learning-model-for-legal-contract-review-fe3b48b05a0e
- https://towardsdatascience.com/how-to-set-up-a-machine-learning-model-for-legal-contract-review-part-2-6ecbbe680ba
|
explosion/nl_udv25_dutchlassysmall_trf | explosion | 2021-12-10T14:38:34Z | 4 | 0 | spacy | [
"spacy",
"token-classification",
"nl",
"license:cc-by-sa-4.0",
"model-index",
"region:us"
] | token-classification | 2022-03-02T23:29:05Z | ---
tags:
- spacy
- token-classification
language:
- nl
license: cc-by-sa-4.0
model-index:
- name: nl_udv25_dutchlassysmall_trf
results:
- task:
name: TAG
type: token-classification
metrics:
- name: TAG (XPOS) Accuracy
type: accuracy
value: 0.9592982456
- task:
name: POS
type: token-classification
metrics:
- name: POS (UPOS) Accuracy
type: accuracy
value: 0.9636842105
- task:
name: MORPH
type: token-classification
metrics:
- name: Morph (UFeats) Accuracy
type: accuracy
value: 0.9772747214
- task:
name: LEMMA
type: token-classification
metrics:
- name: Lemma Accuracy
type: accuracy
value: 0.9670628481
- task:
name: UNLABELED_DEPENDENCIES
type: token-classification
metrics:
- name: Unlabeled Attachment Score (UAS)
type: f_score
value: 0.9022862512
- task:
name: LABELED_DEPENDENCIES
type: token-classification
metrics:
- name: Labeled Attachment Score (LAS)
type: f_score
value: 0.8620941643
- task:
name: SENTS
type: token-classification
metrics:
- name: Sentences F-Score
type: f_score
value: 0.9183673469
---
UD v2.5 benchmarking pipeline for UD_Dutch-LassySmall
| Feature | Description |
| --- | --- |
| **Name** | `nl_udv25_dutchlassysmall_trf` |
| **Version** | `0.0.1` |
| **spaCy** | `>=3.2.1,<3.3.0` |
| **Default Pipeline** | `experimental_char_ner_tokenizer`, `transformer`, `tagger`, `morphologizer`, `parser`, `experimental_edit_tree_lemmatizer` |
| **Components** | `experimental_char_ner_tokenizer`, `transformer`, `senter`, `tagger`, `morphologizer`, `parser`, `experimental_edit_tree_lemmatizer` |
| **Vectors** | 0 keys, 0 unique vectors (0 dimensions) |
| **Sources** | [Universal Dependencies v2.5](https://lindat.mff.cuni.cz/repository/xmlui/handle/11234/1-3105) (Zeman, Daniel; et al.) |
| **License** | `CC BY-SA 4.0` |
| **Author** | [Explosion](https://explosion.ai) |
### Label Scheme
<details>
<summary>View label scheme (1070 labels for 6 components)</summary>
| Component | Labels |
| --- | --- |
| **`experimental_char_ner_tokenizer`** | `TOKEN` |
| **`senter`** | `I`, `S` |
| **`tagger`** | `ADJ\|nom\|basis\|met-e\|mv-n`, `ADJ\|nom\|basis\|met-e\|zonder-n\|bijz`, `ADJ\|nom\|basis\|met-e\|zonder-n\|stan`, `ADJ\|nom\|basis\|zonder\|mv-n`, `ADJ\|nom\|basis\|zonder\|zonder-n`, `ADJ\|nom\|comp\|met-e\|mv-n`, `ADJ\|nom\|sup\|met-e\|mv-n`, `ADJ\|nom\|sup\|met-e\|zonder-n\|stan`, `ADJ\|nom\|sup\|zonder\|zonder-n`, `ADJ\|postnom\|basis\|zonder`, `ADJ\|prenom\|basis\|met-e\|bijz`, `ADJ\|prenom\|basis\|met-e\|stan`, `ADJ\|prenom\|basis\|zonder`, `ADJ\|prenom\|comp\|met-e\|stan`, `ADJ\|prenom\|comp\|zonder`, `ADJ\|prenom\|sup\|met-e\|stan`, `ADJ\|vrij\|basis\|zonder`, `ADJ\|vrij\|comp\|zonder`, `ADJ\|vrij\|sup\|zonder`, `BW`, `LET`, `LID\|bep\|gen\|evmo`, `LID\|bep\|gen\|rest3`, `LID\|bep\|stan\|evon`, `LID\|bep\|stan\|rest`, `LID\|onbep\|stan\|agr`, `N\|eigen\|ev\|basis\|gen`, `N\|eigen\|ev\|basis\|genus\|stan`, `N\|eigen\|ev\|basis\|onz\|stan`, `N\|eigen\|ev\|basis\|zijd\|stan`, `N\|eigen\|ev\|dim\|onz\|stan`, `N\|eigen\|mv\|basis`, `N\|soort\|ev\|basis\|dat`, `N\|soort\|ev\|basis\|gen`, `N\|soort\|ev\|basis\|genus\|stan`, `N\|soort\|ev\|basis\|onz\|stan`, `N\|soort\|ev\|basis\|zijd\|stan`, `N\|soort\|ev\|dim\|onz\|stan`, `N\|soort\|mv\|basis`, `N\|soort\|mv\|dim`, `SPEC\|afgebr`, `SPEC\|afk`, `SPEC\|deeleigen`, `SPEC\|enof`, `SPEC\|symb`, `SPEC\|vreemd`, `TSW`, `TW\|hoofd\|nom\|mv-n\|basis`, `TW\|hoofd\|nom\|zonder-n\|basis`, `TW\|hoofd\|nom\|zonder-n\|dim`, `TW\|hoofd\|prenom\|stan`, `TW\|hoofd\|vrij`, `TW\|rang\|nom\|zonder-n`, `TW\|rang\|prenom\|stan`, `VG\|neven`, `VG\|onder`, `VNW\|aanw\|adv-pron\|obl\|vol\|3o\|getal`, `VNW\|aanw\|adv-pron\|stan\|red\|3\|getal`, `VNW\|aanw\|det\|stan\|nom\|met-e\|mv-n`, `VNW\|aanw\|det\|stan\|nom\|met-e\|zonder-n`, `VNW\|aanw\|det\|stan\|prenom\|met-e\|rest`, `VNW\|aanw\|det\|stan\|prenom\|zonder\|agr`, `VNW\|aanw\|det\|stan\|prenom\|zonder\|evon`, `VNW\|aanw\|det\|stan\|prenom\|zonder\|rest`, `VNW\|aanw\|pron\|gen\|vol\|3m\|ev`, `VNW\|aanw\|pron\|stan\|vol\|3o\|ev`, `VNW\|aanw\|pron\|stan\|vol\|3\|getal`, `VNW\|betr\|det\|stan\|nom\|zonder\|zonder-n`, `VNW\|betr\|pron\|stan\|vol\|3\|ev`, `VNW\|betr\|pron\|stan\|vol\|persoon\|getal`, `VNW\|bez\|det\|stan\|red\|3\|ev\|prenom\|zonder\|agr`, `VNW\|bez\|det\|stan\|vol\|1\|ev\|prenom\|zonder\|agr`, `VNW\|bez\|det\|stan\|vol\|1\|mv\|prenom\|met-e\|rest`, `VNW\|bez\|det\|stan\|vol\|1\|mv\|prenom\|zonder\|evon`, `VNW\|bez\|det\|stan\|vol\|2\|getal\|prenom\|zonder\|agr`, `VNW\|bez\|det\|stan\|vol\|3m\|ev\|prenom\|met-e\|rest`, `VNW\|bez\|det\|stan\|vol\|3p\|mv\|prenom\|met-e\|rest`, `VNW\|bez\|det\|stan\|vol\|3v\|ev\|prenom\|met-e\|rest`, `VNW\|bez\|det\|stan\|vol\|3\|ev\|prenom\|zonder\|agr`, `VNW\|bez\|det\|stan\|vol\|3\|mv\|prenom\|zonder\|agr`, `VNW\|onbep\|adv-pron\|obl\|vol\|3o\|getal`, `VNW\|onbep\|det\|stan\|nom\|met-e\|mv-n`, `VNW\|onbep\|det\|stan\|nom\|met-e\|zonder-n`, `VNW\|onbep\|det\|stan\|prenom\|met-e\|agr`, `VNW\|onbep\|det\|stan\|prenom\|met-e\|evz`, `VNW\|onbep\|det\|stan\|prenom\|met-e\|mv`, `VNW\|onbep\|det\|stan\|prenom\|met-e\|rest`, `VNW\|onbep\|det\|stan\|prenom\|zonder\|agr`, `VNW\|onbep\|det\|stan\|prenom\|zonder\|evon`, `VNW\|onbep\|det\|stan\|vrij\|zonder`, `VNW\|onbep\|grad\|gen\|nom\|met-e\|mv-n\|basis`, `VNW\|onbep\|grad\|stan\|nom\|met-e\|mv-n\|basis`, `VNW\|onbep\|grad\|stan\|nom\|met-e\|zonder-n\|basis`, `VNW\|onbep\|grad\|stan\|nom\|met-e\|zonder-n\|sup`, `VNW\|onbep\|grad\|stan\|prenom\|met-e\|agr\|basis`, `VNW\|onbep\|grad\|stan\|prenom\|met-e\|agr\|sup`, `VNW\|onbep\|grad\|stan\|prenom\|met-e\|mv\|basis`, `VNW\|onbep\|grad\|stan\|prenom\|zonder\|agr\|basis`, `VNW\|onbep\|grad\|stan\|prenom\|zonder\|agr\|comp`, `VNW\|onbep\|grad\|stan\|vrij\|zonder\|basis`, `VNW\|onbep\|grad\|stan\|vrij\|zonder\|comp`, `VNW\|onbep\|grad\|stan\|vrij\|zonder\|sup`, `VNW\|onbep\|pron\|stan\|vol\|3o\|ev`, `VNW\|onbep\|pron\|stan\|vol\|3p\|ev`, `VNW\|pers\|pron\|nomin\|nadr\|3v\|ev\|fem`, `VNW\|pers\|pron\|nomin\|red\|1\|mv`, `VNW\|pers\|pron\|nomin\|red\|2v\|ev`, `VNW\|pers\|pron\|nomin\|red\|3p\|ev\|masc`, `VNW\|pers\|pron\|nomin\|vol\|1\|ev`, `VNW\|pers\|pron\|nomin\|vol\|1\|mv`, `VNW\|pers\|pron\|nomin\|vol\|2b\|getal`, `VNW\|pers\|pron\|nomin\|vol\|3p\|mv`, `VNW\|pers\|pron\|nomin\|vol\|3v\|ev\|fem`, `VNW\|pers\|pron\|nomin\|vol\|3\|ev\|masc`, `VNW\|pers\|pron\|obl\|nadr\|3m\|ev\|masc`, `VNW\|pers\|pron\|obl\|vol\|3p\|mv`, `VNW\|pers\|pron\|obl\|vol\|3\|ev\|masc`, `VNW\|pers\|pron\|obl\|vol\|3\|getal\|fem`, `VNW\|pers\|pron\|stan\|red\|3\|ev\|fem`, `VNW\|pers\|pron\|stan\|red\|3\|ev\|onz`, `VNW\|pers\|pron\|stan\|red\|3\|mv`, `VNW\|pr\|pron\|obl\|red\|1\|ev`, `VNW\|pr\|pron\|obl\|red\|2v\|getal`, `VNW\|pr\|pron\|obl\|vol\|1\|ev`, `VNW\|pr\|pron\|obl\|vol\|1\|mv`, `VNW\|recip\|pron\|obl\|vol\|persoon\|mv`, `VNW\|refl\|pron\|obl\|nadr\|3\|getal`, `VNW\|refl\|pron\|obl\|red\|3\|getal`, `VNW\|vb\|adv-pron\|obl\|vol\|3o\|getal`, `VNW\|vb\|pron\|stan\|vol\|3o\|ev`, `VNW\|vb\|pron\|stan\|vol\|3p\|getal`, `VZ\|fin`, `VZ\|init`, `VZ\|versm`, `WW\|inf\|nom\|zonder\|zonder-n`, `WW\|inf\|vrij\|zonder`, `WW\|od\|nom\|met-e\|mv-n`, `WW\|od\|nom\|met-e\|zonder-n`, `WW\|od\|prenom\|met-e`, `WW\|od\|prenom\|zonder`, `WW\|od\|vrij\|zonder`, `WW\|pv\|conj\|ev`, `WW\|pv\|tgw\|ev`, `WW\|pv\|tgw\|met-t`, `WW\|pv\|tgw\|mv`, `WW\|pv\|verl\|ev`, `WW\|pv\|verl\|mv`, `WW\|vd\|nom\|met-e\|mv-n`, `WW\|vd\|nom\|met-e\|zonder-n`, `WW\|vd\|prenom\|met-e`, `WW\|vd\|prenom\|zonder`, `WW\|vd\|vrij\|zonder` |
| **`morphologizer`** | `Definite=Def\|POS=DET`, `Degree=Pos\|POS=ADJ`, `POS=CCONJ`, `Gender=Neut\|Number=Sing\|POS=NOUN`, `POS=PUNCT`, `POS=DET`, `Degree=Sup\|POS=ADJ`, `Number=Sing\|POS=AUX\|Tense=Pres\|VerbForm=Fin`, `Gender=Com\|Number=Sing\|POS=PROPN`, `POS=SYM`, `POS=NUM`, `POS=ADP`, `Definite=Ind\|POS=DET`, `Gender=Com\|Number=Sing\|POS=NOUN`, `Degree=Cmp\|POS=ADJ`, `Gender=Neut\|Number=Sing\|POS=PROPN`, `POS=ADV`, `Number=Sing\|POS=AUX\|Tense=Past\|VerbForm=Fin`, `POS=PROPN`, `Number=Plur\|POS=NOUN`, `POS=VERB\|VerbForm=Inf`, `POS=PRON\|PronType=Rel`, `Number=Sing\|POS=VERB\|Tense=Pres\|VerbForm=Fin`, `POS=PRON\|PronType=Ind`, `POS=VERB\|VerbForm=Part`, `POS=ADJ`, `POS=X`, `Gender=Com,Neut\|Number=Sing\|POS=PROPN`, `Foreign=Yes\|POS=X`, `POS=PRON\|Person=3\|PronType=Prs`, `POS=PRON\|Person=3\|Poss=Yes\|PronType=Prs`, `Number=Plur\|POS=PROPN`, `Number=Plur\|POS=AUX\|Tense=Past\|VerbForm=Fin`, `Number=Plur\|POS=VERB\|Tense=Pres\|VerbForm=Fin`, `Number=Sing\|POS=VERB\|Tense=Past\|VerbForm=Fin`, `POS=PRON\|Person=3\|PronType=Rel`, `POS=AUX\|VerbForm=Inf`, `POS=SCONJ`, `Number=Plur\|POS=AUX\|Tense=Pres\|VerbForm=Fin`, `Abbr=Yes\|POS=X`, `Case=Nom\|POS=PRON\|Person=3\|PronType=Prs`, `POS=PRON\|Person=3\|PronType=Dem`, `Number=Plur\|POS=VERB\|Tense=Past\|VerbForm=Fin`, `Case=Acc\|POS=PRON\|Person=3\|PronType=Prs\|Reflex=Yes`, `POS=PRON\|PronType=Dem`, `POS=PRON\|Person=3\|PronType=Int`, `Gender=Com,Neut\|Number=Sing\|POS=NOUN`, `POS=PRON\|Person=3\|PronType=Ind`, `Case=Nom\|POS=PRON\|Person=2\|PronType=Prs`, `Number=Sing\|POS=NOUN`, `Case=Acc\|POS=PRON\|PronType=Rcp`, `POS=AUX\|VerbForm=Part`, `Number=Sing\|POS=PROPN`, `Case=Nom\|POS=PRON\|Person=1\|PronType=Prs`, `Case=Acc\|POS=PRON\|Person=2\|PronType=Prs`, `Case=Acc\|POS=PRON\|Person=3\|PronType=Prs`, `POS=INTJ`, `POS=PRON\|Person=1\|Poss=Yes\|PronType=Prs`, `Case=Acc\|POS=PRON\|Person=1\|PronType=Prs`, `POS=PRON\|Person=2\|Poss=Yes\|PronType=Prs` |
| **`parser`** | `ROOT`, `acl`, `acl:relcl`, `advcl`, `advmod`, `amod`, `appos`, `aux`, `aux:pass`, `case`, `cc`, `ccomp`, `compound:prt`, `conj`, `cop`, `csubj`, `dep`, `det`, `expl`, `expl:pv`, `fixed`, `flat`, `iobj`, `mark`, `nmod`, `nmod:poss`, `nsubj`, `nsubj:pass`, `nummod`, `obj`, `obl`, `obl:agent`, `orphan`, `parataxis`, `punct`, `xcomp` |
| **`experimental_edit_tree_lemmatizer`** | `1`, `3`, `4`, `6`, `8`, `10`, `13`, `15`, `17`, `19`, `21`, `22`, `25`, `27`, `29`, `30`, `32`, `36`, `37`, `39`, `41`, `42`, `45`, `47`, `49`, `51`, `53`, `55`, `58`, `59`, `61`, `63`, `65`, `66`, `70`, `72`, `74`, `76`, `78`, `79`, `80`, `82`, `84`, `86`, `89`, `92`, `94`, `96`, `97`, `99`, `101`, `104`, `107`, `109`, `110`, `112`, `114`, `116`, `117`, `118`, `119`, `120`, `121`, `124`, `126`, `127`, `130`, `133`, `134`, `135`, `137`, `139`, `142`, `143`, `145`, `148`, `152`, `154`, `156`, `159`, `160`, `163`, `165`, `167`, `168`, `172`, `175`, `176`, `178`, `182`, `184`, `187`, `189`, `190`, `192`, `194`, `195`, `197`, `199`, `200`, `203`, `205`, `207`, `208`, `209`, `212`, `214`, `215`, `217`, `219`, `220`, `221`, `224`, `227`, `228`, `230`, `232`, `233`, `237`, `238`, `240`, `241`, `242`, `244`, `245`, `248`, `249`, `250`, `251`, `252`, `255`, `258`, `259`, `260`, `262`, `266`, `268`, `270`, `272`, `275`, `278`, `280`, `281`, `282`, `283`, `285`, `287`, `290`, `291`, `293`, `297`, `299`, `300`, `301`, `302`, `306`, `307`, `309`, `310`, `311`, `313`, `314`, `316`, `318`, `319`, `320`, `324`, `329`, `332`, `333`, `335`, `337`, `339`, `343`, `346`, `347`, `348`, `352`, `353`, `357`, `358`, `359`, `360`, `362`, `363`, `366`, `369`, `372`, `374`, `377`, `378`, `379`, `381`, `382`, `386`, `387`, `391`, `395`, `397`, `399`, `400`, `401`, `403`, `406`, `407`, `408`, `409`, `410`, `411`, `412`, `414`, `415`, `417`, `419`, `421`, `423`, `426`, `427`, `428`, `431`, `433`, `435`, `437`, `439`, `441`, `444`, `446`, `448`, `451`, `453`, `455`, `457`, `458`, `460`, `462`, `463`, `465`, `467`, `469`, `470`, `472`, `474`, `475`, `478`, `482`, `483`, `485`, `489`, `491`, `492`, `493`, `495`, `499`, `500`, `502`, `506`, `508`, `511`, `514`, `518`, `520`, `522`, `525`, `527`, `528`, `532`, `534`, `535`, `538`, `540`, `541`, `544`, `546`, `547`, `548`, `551`, `552`, `556`, `558`, `559`, `560`, `563`, `565`, `567`, `569`, `570`, `573`, `577`, `579`, `581`, `584`, `587`, `589`, `591`, `595`, `597`, `599`, `600`, `601`, `602`, `606`, `608`, `610`, `612`, `614`, `615`, `616`, `618`, `619`, `620`, `621`, `622`, `626`, `628`, `629`, `631`, `632`, `634`, `635`, `636`, `637`, `639`, `641`, `644`, `649`, `653`, `654`, `656`, `657`, `658`, `661`, `663`, `664`, `665`, `666`, `667`, `668`, `669`, `670`, `674`, `676`, `678`, `679`, `682`, `685`, `687`, `689`, `692`, `694`, `696`, `699`, `702`, `703`, `704`, `705`, `706`, `708`, `709`, `711`, `712`, `714`, `715`, `717`, `718`, `719`, `722`, `725`, `729`, `730`, `733`, `736`, `738`, `739`, `743`, `745`, `746`, `749`, `750`, `328`, `752`, `754`, `755`, `757`, `760`, `761`, `762`, `764`, `767`, `769`, `770`, `773`, `777`, `778`, `781`, `783`, `784`, `785`, `786`, `789`, `790`, `793`, `794`, `795`, `798`, `800`, `162`, `803`, `806`, `809`, `812`, `813`, `815`, `817`, `818`, `819`, `821`, `823`, `824`, `825`, `827`, `830`, `832`, `834`, `836`, `838`, `648`, `839`, `841`, `843`, `844`, `846`, `848`, `849`, `851`, `852`, `853`, `854`, `855`, `857`, `859`, `860`, `861`, `863`, `865`, `867`, `869`, `872`, `873`, `875`, `877`, `879`, `881`, `883`, `885`, `886`, `887`, `888`, `890`, `893`, `894`, `896`, `899`, `901`, `902`, `904`, `906`, `908`, `911`, `913`, `915`, `918`, `919`, `920`, `921`, `926`, `928`, `930`, `931`, `932`, `933`, `934`, `396`, `935`, `936`, `938`, `939`, `940`, `942`, `945`, `946`, `947`, `948`, `950`, `951`, `954`, `956`, `957`, `960`, `962`, `964`, `967`, `969`, `970`, `971`, `975`, `976`, `977`, `978`, `979`, `980`, `981`, `982`, `983`, `984`, `985`, `988`, `990`, `991`, `995`, `997`, `998`, `840`, `999`, `1000`, `1002`, `1003`, `1004`, `1006`, `1008`, `1009`, `1013`, `1017`, `862`, `1019`, `1020`, `1021`, `1024`, `1025`, `1027`, `1028`, `1029`, `1031`, `1033`, `1036`, `1039`, `1040`, `1041`, `1043`, `1044`, `1047`, `1048`, `1052`, `1055`, `1056`, `1057`, `1061`, `1062`, `1063`, `1066`, `1069`, `507`, `1071`, `1072`, `1074`, `1075`, `1076`, `1078`, `1079`, `1080`, `1081`, `1082`, `1085`, `1086`, `1087`, `1089`, `1090`, `1091`, `1093`, `1094`, `1097`, `1100`, `1102`, `1103`, `1104`, `1106`, `1107`, `1108`, `1109`, `1111`, `1113`, `1115`, `1116`, `1119`, `1121`, `1122`, `1123`, `1125`, `1126`, `1127`, `1128`, `1129`, `1131`, `1132`, `1135`, `1138`, `1140`, `1141`, `1143`, `1144`, `1145`, `1147`, `1150`, `1151`, `1152`, `1154`, `1155`, `1158`, `1159`, `1160`, `1161`, `1162`, `1164`, `1166`, `1167`, `1169`, `1170`, `1172`, `1175`, `1177`, `510`, `1178`, `1181`, `1182`, `1183`, `1185`, `1187`, `1189`, `1190`, `1191`, `1192`, `1194`, `1197`, `1201`, `1202`, `1203`, `1206`, `1208`, `1209`, `1210`, `1213`, `1217`, `1218`, `1220`, `1221`, `1223`, `1225`, `1227`, `1229`, `1231`, `1233`, `1236`, `1238`, `1240`, `1241`, `1244`, `1245`, `1247`, `1249`, `1250`, `1252`, `1253`, `1254`, `1255`, `1257`, `1259`, `1261`, `1262`, `1264`, `1266`, `1268`, `1271`, `1273`, `1274`, `1276`, `1278`, `1279`, `48`, `1280`, `1281`, `1283`, `1248`, `1284`, `1286`, `1287`, `1289`, `1290`, `1292`, `884`, `1293`, `1295`, `1296`, `1298`, `1299`, `1300`, `1302`, `1303`, `1304`, `1305`, `1306`, `1307`, `1309`, `1311`, `1313`, `1316`, `1317`, `1318`, `1319`, `1321`, `206`, `1322`, `1323`, `1328`, `1330`, `1331`, `1332`, `1334`, `1336`, `1338`, `1341`, `1342`, `1343`, `1344`, `1345`, `1346`, `1347`, `1348`, `1350`, `1352`, `1354`, `1356`, `1357`, `1358`, `1359`, `1360`, `1361`, `864`, `1363`, `1364`, `1366`, `1367`, `1368`, `1370`, `1371`, `1372`, `1374`, `1376`, `1377`, `1378`, `1379`, `1381`, `1382`, `1383`, `1384`, `1386`, `1387`, `1389`, `1390`, `1391`, `1393`, `1396`, `1397`, `1398`, `1399`, `1403`, `1404`, `1406`, `1407`, `1410`, `1412`, `1415`, `1416`, `1419`, `1421`, `1422`, `1423`, `1424`, `1425`, `1427`, `1429`, `1432`, `1433`, `1437`, `1440`, `1442`, `1447`, `1450`, `1452`, `1454`, `1457`, `1458`, `1459`, `1460`, `1462`, `1463`, `1464`, `1466`, `1468`, `1469`, `1471`, `1473`, `1475`, `1476`, `1478`, `1479`, `1480`, `1481`, `1482`, `1483`, `1484` |
</details>
### Accuracy
| Type | Score |
| --- | --- |
| `TOKEN_F` | 99.91 |
| `TOKEN_P` | 99.88 |
| `TOKEN_R` | 99.94 |
| `TOKEN_ACC` | 100.00 |
| `SENTS_F` | 91.84 |
| `SENTS_P` | 90.52 |
| `SENTS_R` | 93.20 |
| `TAG_ACC` | 95.93 |
| `POS_ACC` | 96.37 |
| `MORPH_ACC` | 97.73 |
| `DEP_UAS` | 90.23 |
| `DEP_LAS` | 86.21 |
| `LEMMA_ACC` | 96.71 | |
explosion/da_udv25_danishddt_trf | explosion | 2021-12-10T13:06:28Z | 3 | 0 | spacy | [
"spacy",
"token-classification",
"da",
"license:cc-by-sa-4.0",
"model-index",
"region:us"
] | token-classification | 2022-03-02T23:29:05Z | ---
tags:
- spacy
- token-classification
language:
- da
license: cc-by-sa-4.0
model-index:
- name: da_udv25_danishddt_trf
results:
- task:
name: TAG
type: token-classification
metrics:
- name: TAG (XPOS) Accuracy
type: accuracy
value: 0.9848998161
- task:
name: POS
type: token-classification
metrics:
- name: POS (UPOS) Accuracy
type: accuracy
value: 0.98480302
- task:
name: MORPH
type: token-classification
metrics:
- name: Morph (UFeats) Accuracy
type: accuracy
value: 0.9819959346
- task:
name: LEMMA
type: token-classification
metrics:
- name: Lemma Accuracy
type: accuracy
value: 0.9755129694
- task:
name: UNLABELED_DEPENDENCIES
type: token-classification
metrics:
- name: Unlabeled Attachment Score (UAS)
type: f_score
value: 0.8966826762
- task:
name: LABELED_DEPENDENCIES
type: token-classification
metrics:
- name: Labeled Attachment Score (LAS)
type: f_score
value: 0.8728917681
- task:
name: SENTS
type: token-classification
metrics:
- name: Sentences F-Score
type: f_score
value: 0.9688888889
---
UD v2.5 benchmarking pipeline for UD_Danish-DDT
| Feature | Description |
| --- | --- |
| **Name** | `da_udv25_danishddt_trf` |
| **Version** | `0.0.1` |
| **spaCy** | `>=3.2.1,<3.3.0` |
| **Default Pipeline** | `experimental_char_ner_tokenizer`, `transformer`, `tagger`, `morphologizer`, `parser`, `experimental_edit_tree_lemmatizer` |
| **Components** | `experimental_char_ner_tokenizer`, `transformer`, `senter`, `tagger`, `morphologizer`, `parser`, `experimental_edit_tree_lemmatizer` |
| **Vectors** | 0 keys, 0 unique vectors (0 dimensions) |
| **Sources** | [Universal Dependencies v2.5](https://lindat.mff.cuni.cz/repository/xmlui/handle/11234/1-3105) (Zeman, Daniel; et al.) |
| **License** | `CC BY-SA 4.0` |
| **Author** | [Explosion](https://explosion.ai) |
### Label Scheme
<details>
<summary>View label scheme (1316 labels for 6 components)</summary>
| Component | Labels |
| --- | --- |
| **`experimental_char_ner_tokenizer`** | `TOKEN` |
| **`senter`** | `I`, `S` |
| **`tagger`** | `ADJ`, `ADP`, `ADV`, `AUX`, `CCONJ`, `DET`, `INTJ`, `NOUN`, `NUM`, `PART`, `PRON`, `PROPN`, `PUNCT`, `SCONJ`, `SYM`, `VERB`, `X` |
| **`morphologizer`** | `AdpType=Prep\|POS=ADP`, `Definite=Ind\|Gender=Com\|Number=Sing\|POS=NOUN`, `Mood=Ind\|POS=AUX\|Tense=Pres\|VerbForm=Fin\|Voice=Act`, `POS=PROPN`, `Definite=Ind\|Number=Sing\|POS=VERB\|Tense=Past\|VerbForm=Part`, `Definite=Def\|Gender=Neut\|Number=Sing\|POS=NOUN`, `POS=SCONJ`, `Definite=Def\|Gender=Com\|Number=Sing\|POS=NOUN`, `Mood=Ind\|POS=VERB\|Tense=Pres\|VerbForm=Fin\|Voice=Act`, `POS=ADV`, `Number=Plur\|POS=DET\|PronType=Dem`, `Degree=Pos\|Number=Plur\|POS=ADJ`, `Definite=Ind\|Gender=Com\|Number=Plur\|POS=NOUN`, `POS=PUNCT`, `POS=CCONJ`, `Definite=Ind\|Degree=Cmp\|Number=Sing\|POS=ADJ`, `Degree=Cmp\|POS=ADJ`, `POS=PRON\|PartType=Inf`, `Gender=Com\|Number=Sing\|POS=DET\|PronType=Ind`, `Definite=Ind\|Degree=Pos\|Number=Sing\|POS=ADJ`, `Case=Acc\|Gender=Neut\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs`, `Definite=Ind\|Gender=Neut\|Number=Plur\|POS=NOUN`, `Definite=Def\|Degree=Pos\|Number=Sing\|POS=ADJ`, `Gender=Neut\|Number=Sing\|POS=DET\|PronType=Dem`, `Degree=Pos\|POS=ADV`, `Definite=Def\|Number=Sing\|POS=VERB\|Tense=Past\|VerbForm=Part`, `Definite=Ind\|Gender=Neut\|Number=Sing\|POS=NOUN`, `POS=PRON\|PronType=Dem`, `NumType=Card\|POS=NUM`, `Definite=Ind\|Degree=Pos\|Gender=Neut\|Number=Sing\|POS=ADJ`, `Case=Acc\|Gender=Com\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs`, `Degree=Pos\|Gender=Com\|Number=Sing\|POS=ADJ`, `Case=Nom\|Gender=Com\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs`, `NumType=Ord\|POS=ADJ`, `Gender=Com\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs\|Reflex=Yes`, `Mood=Ind\|POS=AUX\|Tense=Past\|VerbForm=Fin\|Voice=Act`, `POS=VERB\|VerbForm=Inf\|Voice=Act`, `Mood=Ind\|POS=VERB\|Tense=Past\|VerbForm=Fin\|Voice=Act`, `POS=NOUN`, `Mood=Ind\|POS=VERB\|Tense=Pres\|VerbForm=Fin\|Voice=Pass`, `POS=ADP\|PartType=Inf`, `Degree=Pos\|POS=ADJ`, `Definite=Def\|Gender=Com\|Number=Plur\|POS=NOUN`, `Number[psor]=Sing\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Case=Gen\|Definite=Def\|Gender=Com\|Number=Sing\|POS=NOUN`, `POS=AUX\|VerbForm=Inf\|Voice=Act`, `Definite=Ind\|Degree=Pos\|Gender=Com\|Number=Sing\|POS=ADJ`, `Gender=Com\|Number=Sing\|POS=DET\|PronType=Dem`, `Number=Plur\|POS=DET\|PronType=Ind`, `Gender=Com\|Number=Sing\|POS=PRON\|PronType=Ind`, `Case=Acc\|POS=PRON\|Person=3\|PronType=Prs\|Reflex=Yes`, `POS=PART\|PartType=Inf`, `Gender=Neut\|Number=Sing\|POS=DET\|PronType=Ind`, `Case=Acc\|Number=Plur\|POS=PRON\|Person=3\|PronType=Prs`, `Case=Gen\|Definite=Def\|Gender=Neut\|Number=Sing\|POS=NOUN`, `Case=Nom\|Number=Plur\|POS=PRON\|Person=3\|PronType=Prs`, `Case=Nom\|Gender=Com\|Number=Sing\|POS=PRON\|Person=1\|PronType=Prs`, `Case=Nom\|Gender=Com\|POS=PRON\|PronType=Ind`, `Gender=Neut\|Number=Sing\|POS=PRON\|PronType=Ind`, `Mood=Imp\|POS=VERB`, `Gender=Com\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Definite=Ind\|Number=Sing\|POS=AUX\|Tense=Past\|VerbForm=Part`, `POS=X`, `Case=Nom\|Gender=Com\|Number=Plur\|POS=PRON\|Person=1\|PronType=Prs`, `Case=Gen\|Definite=Def\|Gender=Com\|Number=Plur\|POS=NOUN`, `POS=VERB\|Tense=Pres\|VerbForm=Part`, `Number=Plur\|POS=PRON\|PronType=Int,Rel`, `POS=VERB\|VerbForm=Inf\|Voice=Pass`, `Case=Gen\|Definite=Ind\|Gender=Com\|Number=Sing\|POS=NOUN`, `Degree=Cmp\|POS=ADV`, `POS=ADV\|PartType=Inf`, `Degree=Sup\|POS=ADV`, `Number=Plur\|POS=PRON\|PronType=Dem`, `Number=Plur\|POS=PRON\|PronType=Ind`, `Definite=Def\|Gender=Neut\|Number=Plur\|POS=NOUN`, `Case=Acc\|Gender=Com\|Number=Sing\|POS=PRON\|Person=1\|PronType=Prs`, `Case=Gen\|POS=PROPN`, `POS=ADP`, `Degree=Cmp\|Number=Plur\|POS=ADJ`, `Definite=Def\|Degree=Sup\|POS=ADJ`, `Gender=Neut\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Degree=Pos\|Number=Sing\|POS=ADJ`, `Number=Plur\|Number[psor]=Sing\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs\|Reflex=Yes`, `Gender=Com\|Number=Sing\|Number[psor]=Plur\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs\|Style=Form`, `Number=Plur\|POS=PRON\|PronType=Rcp`, `Case=Gen\|Degree=Cmp\|POS=ADJ`, `Case=Gen\|Definite=Def\|Gender=Neut\|Number=Plur\|POS=NOUN`, `Number[psor]=Plur\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `POS=INTJ`, `Number=Plur\|Number[psor]=Sing\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Degree=Pos\|Gender=Neut\|Number=Sing\|POS=ADJ`, `Gender=Neut\|Number=Sing\|Number[psor]=Plur\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs\|Style=Form`, `Case=Acc\|Gender=Com\|Number=Sing\|POS=PRON\|Person=2\|PronType=Prs`, `Gender=Com\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=2\|Poss=Yes\|PronType=Prs`, `Case=Gen\|Definite=Ind\|Gender=Neut\|Number=Plur\|POS=NOUN`, `Number=Sing\|POS=PRON\|PronType=Int,Rel`, `Number=Plur\|Number[psor]=Plur\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs\|Style=Form`, `Gender=Neut\|Number=Sing\|POS=PRON\|PronType=Int,Rel`, `Definite=Def\|Degree=Sup\|Number=Plur\|POS=ADJ`, `Case=Nom\|Gender=Com\|Number=Sing\|POS=PRON\|Person=2\|PronType=Prs`, `Gender=Neut\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs\|Reflex=Yes`, `Definite=Ind\|Number=Sing\|POS=NOUN`, `Number=Plur\|POS=VERB\|Tense=Past\|VerbForm=Part`, `Number=Plur\|Number[psor]=Sing\|POS=PRON\|Person=3\|Poss=Yes\|PronType=Prs\|Reflex=Yes`, `POS=SYM`, `Case=Nom\|Gender=Com\|POS=PRON\|Person=2\|Polite=Form\|PronType=Prs`, `Degree=Sup\|POS=ADJ`, `Number=Plur\|POS=DET\|PronType=Ind\|Style=Arch`, `Case=Gen\|Gender=Com\|Number=Sing\|POS=DET\|PronType=Dem`, `Foreign=Yes\|POS=X`, `POS=DET\|Person=2\|Polite=Form\|Poss=Yes\|PronType=Prs`, `Gender=Neut\|Number=Sing\|POS=PRON\|PronType=Dem`, `Case=Acc\|Gender=Com\|Number=Plur\|POS=PRON\|Person=1\|PronType=Prs`, `Case=Gen\|Definite=Ind\|Gender=Neut\|Number=Sing\|POS=NOUN`, `Case=Gen\|POS=PRON\|PronType=Int,Rel`, `Gender=Com\|Number=Sing\|POS=PRON\|PronType=Dem`, `Abbr=Yes\|POS=X`, `Case=Gen\|Definite=Ind\|Gender=Com\|Number=Plur\|POS=NOUN`, `Definite=Def\|Degree=Abs\|POS=ADJ`, `Definite=Ind\|Degree=Sup\|Number=Sing\|POS=ADJ`, `Definite=Ind\|POS=NOUN`, `Gender=Com\|Number=Plur\|POS=NOUN`, `Number[psor]=Plur\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Gender=Com\|POS=PRON\|PronType=Int,Rel`, `Case=Nom\|Gender=Com\|Number=Plur\|POS=PRON\|Person=2\|PronType=Prs`, `Degree=Abs\|POS=ADV`, `POS=VERB\|VerbForm=Ger`, `POS=VERB\|Tense=Past\|VerbForm=Part`, `Definite=Def\|Degree=Sup\|Number=Sing\|POS=ADJ`, `Number=Plur\|Number[psor]=Plur\|POS=PRON\|Person=1\|Poss=Yes\|PronType=Prs\|Style=Form`, `Case=Gen\|Definite=Def\|Degree=Pos\|Number=Sing\|POS=ADJ`, `Case=Gen\|Degree=Pos\|Number=Plur\|POS=ADJ`, `Case=Acc\|Gender=Com\|POS=PRON\|Person=2\|Polite=Form\|PronType=Prs`, `Gender=Com\|Number=Sing\|POS=PRON\|PronType=Int,Rel`, `POS=VERB\|Tense=Pres`, `Case=Gen\|Number=Plur\|POS=DET\|PronType=Ind`, `Number[psor]=Plur\|POS=DET\|Person=2\|Poss=Yes\|PronType=Prs`, `POS=PRON\|Person=2\|Polite=Form\|Poss=Yes\|PronType=Prs`, `Gender=Neut\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=2\|Poss=Yes\|PronType=Prs`, `POS=AUX\|Tense=Pres\|VerbForm=Part`, `Mood=Ind\|POS=VERB\|Tense=Past\|VerbForm=Fin\|Voice=Pass`, `Gender=Com\|Number=Sing\|Number[psor]=Sing\|POS=PRON\|Person=3\|Poss=Yes\|PronType=Prs\|Reflex=Yes`, `Degree=Sup\|Number=Plur\|POS=ADJ`, `Case=Acc\|Gender=Com\|Number=Plur\|POS=PRON\|Person=2\|PronType=Prs`, `Gender=Neut\|Number=Sing\|Number[psor]=Sing\|POS=PRON\|Person=3\|Poss=Yes\|PronType=Prs\|Reflex=Yes`, `Definite=Ind\|Number=Plur\|POS=NOUN`, `Case=Gen\|Number=Plur\|POS=VERB\|Tense=Past\|VerbForm=Part`, `Mood=Imp\|POS=AUX`, `Gender=Com\|Number=Sing\|Number[psor]=Sing\|POS=PRON\|Person=1\|Poss=Yes\|PronType=Prs`, `Number[psor]=Sing\|POS=PRON\|Person=3\|Poss=Yes\|PronType=Prs`, `Definite=Def\|Gender=Com\|Number=Sing\|POS=VERB\|Tense=Past\|VerbForm=Part`, `Number=Plur\|Number[psor]=Sing\|POS=DET\|Person=2\|Poss=Yes\|PronType=Prs`, `Case=Gen\|Gender=Com\|Number=Sing\|POS=DET\|PronType=Ind`, `Case=Gen\|POS=NOUN`, `Number[psor]=Plur\|POS=PRON\|Person=3\|Poss=Yes\|PronType=Prs`, `POS=DET\|PronType=Dem`, `Definite=Def\|Number=Plur\|POS=NOUN` |
| **`parser`** | `ROOT`, `acl:relcl`, `advcl`, `advmod`, `amod`, `appos`, `aux`, `case`, `cc`, `ccomp`, `compound:prt`, `conj`, `cop`, `dep`, `det`, `discourse`, `expl`, `fixed`, `flat`, `goeswith`, `iobj`, `list`, `mark`, `nmod`, `nmod:poss`, `nsubj`, `nummod`, `obj`, `obl`, `obl:loc`, `obl:tmod`, `punct`, `vocative`, `xcomp` |
| **`experimental_edit_tree_lemmatizer`** | `1`, `2`, `4`, `7`, `9`, `11`, `13`, `15`, `17`, `19`, `21`, `23`, `27`, `31`, `33`, `35`, `37`, `39`, `42`, `44`, `45`, `5`, `47`, `49`, `51`, `53`, `55`, `57`, `59`, `63`, `67`, `69`, `73`, `75`, `77`, `79`, `81`, `83`, `85`, `87`, `89`, `91`, `93`, `95`, `97`, `101`, `103`, `104`, `106`, `109`, `113`, `115`, `116`, `117`, `118`, `119`, `122`, `124`, `127`, `130`, `133`, `134`, `135`, `138`, `140`, `141`, `144`, `146`, `148`, `149`, `151`, `153`, `154`, `156`, `157`, `158`, `159`, `160`, `164`, `166`, `169`, `172`, `175`, `177`, `179`, `181`, `183`, `185`, `188`, `6`, `190`, `192`, `195`, `197`, `199`, `201`, `203`, `205`, `207`, `209`, `212`, `214`, `216`, `217`, `220`, `221`, `222`, `224`, `227`, `228`, `229`, `230`, `232`, `234`, `236`, `238`, `239`, `241`, `243`, `244`, `247`, `248`, `249`, `250`, `252`, `253`, `254`, `255`, `257`, `258`, `262`, `264`, `270`, `274`, `277`, `278`, `280`, `282`, `284`, `286`, `289`, `290`, `292`, `293`, `294`, `295`, `296`, `297`, `298`, `301`, `302`, `304`, `305`, `306`, `308`, `310`, `312`, `314`, `315`, `317`, `319`, `323`, `324`, `326`, `328`, `330`, `332`, `334`, `336`, `339`, `341`, `342`, `344`, `345`, `346`, `348`, `350`, `353`, `356`, `357`, `359`, `362`, `363`, `365`, `366`, `368`, `369`, `370`, `372`, `374`, `375`, `376`, `378`, `380`, `381`, `385`, `387`, `388`, `392`, `394`, `398`, `401`, `402`, `403`, `405`, `406`, `407`, `408`, `409`, `410`, `411`, `414`, `415`, `416`, `419`, `422`, `423`, `426`, `430`, `431`, `432`, `433`, `436`, `437`, `438`, `439`, `440`, `441`, `442`, `443`, `445`, `446`, `448`, `449`, `450`, `451`, `452`, `453`, `456`, `457`, `460`, `462`, `468`, `469`, `471`, `472`, `473`, `474`, `476`, `478`, `480`, `481`, `484`, `485`, `486`, `488`, `489`, `491`, `492`, `493`, `494`, `495`, `496`, `498`, `500`, `502`, `505`, `507`, `508`, `510`, `511`, `512`, `514`, `515`, `517`, `519`, `521`, `522`, `524`, `525`, `528`, `530`, `532`, `533`, `535`, `536`, `537`, `539`, `542`, `543`, `546`, `547`, `550`, `551`, `553`, `554`, `556`, `557`, `558`, `561`, `562`, `563`, `564`, `567`, `569`, `570`, `573`, `575`, `576`, `577`, `578`, `579`, `580`, `582`, `583`, `584`, `585`, `587`, `588`, `590`, `591`, `593`, `597`, `598`, `600`, `601`, `602`, `603`, `605`, `606`, `607`, `608`, `609`, `610`, `612`, `614`, `617`, `618`, `621`, `623`, `625`, `626`, `627`, `628`, `629`, `630`, `631`, `633`, `634`, `635`, `636`, `638`, `639`, `640`, `641`, `642`, `643`, `645`, `646`, `647`, `649`, `650`, `651`, `653`, `656`, `657`, `659`, `660`, `661`, `662`, `664`, `665`, `667`, `670`, `671`, `672`, `674`, `675`, `676`, `677`, `678`, `679`, `680`, `681`, `683`, `685`, `686`, `688`, `689`, `690`, `691`, `692`, `693`, `694`, `696`, `697`, `698`, `699`, `701`, `702`, `703`, `704`, `705`, `706`, `707`, `709`, `711`, `714`, `715`, `717`, `720`, `721`, `722`, `723`, `725`, `728`, `730`, `731`, `732`, `734`, `736`, `738`, `740`, `742`, `746`, `747`, `748`, `750`, `752`, `753`, `754`, `758`, `759`, `763`, `764`, `766`, `768`, `769`, `773`, `775`, `776`, `778`, `779`, `780`, `781`, `782`, `785`, `788`, `789`, `790`, `791`, `795`, `796`, `797`, `798`, `800`, `801`, `803`, `805`, `806`, `807`, `808`, `810`, `812`, `813`, `815`, `816`, `818`, `821`, `822`, `823`, `825`, `827`, `830`, `832`, `836`, `837`, `838`, `840`, `841`, `844`, `846`, `848`, `850`, `851`, `852`, `854`, `856`, `858`, `860`, `861`, `863`, `864`, `865`, `866`, `867`, `868`, `870`, `872`, `873`, `874`, `875`, `880`, `882`, `884`, `885`, `886`, `887`, `889`, `891`, `892`, `893`, `894`, `895`, `896`, `898`, `902`, `903`, `905`, `907`, `908`, `909`, `911`, `912`, `913`, `914`, `915`, `917`, `918`, `919`, `920`, `922`, `923`, `924`, `926`, `927`, `928`, `929`, `931`, `934`, `935`, `936`, `938`, `939`, `940`, `941`, `942`, `944`, `945`, `947`, `949`, `951`, `952`, `954`, `955`, `956`, `958`, `960`, `961`, `962`, `969`, `970`, `974`, `975`, `977`, `978`, `979`, `980`, `981`, `983`, `984`, `987`, `988`, `989`, `993`, `995`, `998`, `1000`, `1001`, `1002`, `1004`, `1007`, `1011`, `1012`, `1014`, `1017`, `1018`, `1020`, `1021`, `1022`, `1023`, `1025`, `1026`, `1027`, `1029`, `1030`, `1031`, `1032`, `1033`, `1034`, `1036`, `1037`, `1038`, `1040`, `1042`, `1044`, `1045`, `1048`, `1050`, `1051`, `1053`, `1054`, `1056`, `1057`, `1058`, `1059`, `1060`, `1061`, `1062`, `1064`, `1066`, `1067`, `1069`, `1070`, `1072`, `1073`, `1076`, `1078`, `1080`, `1081`, `1085`, `1086`, `1087`, `1088`, `1089`, `1090`, `1092`, `1093`, `1094`, `1096`, `1097`, `1098`, `1100`, `1101`, `1102`, `1106`, `1109`, `1110`, `1111`, `1113`, `1114`, `1116`, `1117`, `1119`, `1120`, `1122`, `1123`, `1125`, `1127`, `1128`, `1131`, `1132`, `1133`, `1134`, `1135`, `1136`, `1137`, `1138`, `1141`, `831`, `1142`, `1143`, `1144`, `1146`, `1148`, `1150`, `1152`, `1153`, `1155`, `1157`, `1158`, `1160`, `1161`, `1162`, `1163`, `1168`, `1170`, `1171`, `1174`, `1175`, `1176`, `1178`, `1181`, `1182`, `1183`, `1185`, `1186`, `1189`, `1191`, `1192`, `1193`, `1194`, `1195`, `1196`, `1198`, `1199`, `1201`, `1203`, `1204`, `1205`, `1206`, `1207`, `1208`, `1209`, `1210`, `1211`, `1212`, `1213`, `1214`, `1215`, `1218`, `1219`, `1220`, `1222`, `1223`, `1224`, `1225`, `1226`, `1227`, `1229`, `1231`, `1232`, `1235`, `1236`, `1238`, `1239`, `1242`, `1244`, `1247`, `1248`, `1249`, `1250`, `1251`, `1253`, `1255`, `1257`, `1258`, `1259`, `1261`, `1263`, `1265`, `1266`, `1267`, `1269`, `1271`, `1272`, `1273`, `1274`, `1276`, `1277`, `1278`, `1280`, `1281`, `1282`, `1283`, `1285`, `1286`, `1287`, `1288`, `1289`, `1291`, `1293`, `1294`, `1295`, `1297`, `1298`, `1299`, `1300`, `1303`, `1305`, `1307`, `1309`, `1310`, `1311`, `1312`, `1315`, `1316`, `1318`, `1321`, `1322`, `1323`, `1324`, `1325`, `1326`, `1327`, `1329`, `1330`, `1331`, `1332`, `1333`, `1334`, `1335`, `1336`, `1337`, `1338`, `1339`, `1341`, `1342`, `1343`, `1344`, `1345`, `1346`, `1347`, `1348`, `1349`, `1351`, `1352`, `1353`, `1354`, `1355`, `1357`, `1358`, `1359`, `1360`, `1362`, `1364`, `1365`, `1367`, `1368`, `1369`, `1370`, `1371`, `1372`, `1374`, `1376`, `1377`, `1379`, `1380`, `1382`, `1383`, `1384`, `1386`, `1387`, `1389`, `1390`, `1391`, `1392`, `1394`, `1396`, `1398`, `1399`, `1400`, `1401`, `1403`, `1404`, `1405`, `1406`, `1407`, `1408`, `1409`, `1410`, `1147`, `1411`, `1413`, `1414`, `1415`, `1418`, `1420`, `1421`, `1422`, `1423`, `1426`, `1427`, `1428`, `1430`, `1431`, `1433`, `1438`, `1439`, `1440`, `1441`, `1442`, `1444`, `1446`, `1448`, `1449`, `1453`, `1454`, `1456`, `1457`, `1459`, `1463`, `1465`, `1466`, `1468`, `1469`, `1470`, `1472`, `1476`, `1478`, `1479`, `1480`, `1481`, `1482`, `1483`, `1485`, `1486`, `1487`, `1488`, `1490`, `1491`, `1493`, `1494`, `1496`, `1498`, `1500`, `1502`, `1503`, `1504`, `1505`, `1506`, `1508`, `1509`, `1511`, `1512`, `1513`, `1514`, `1516`, `1518`, `1519`, `1521`, `1522`, `1524`, `1525`, `1527`, `1533`, `1534`, `1535`, `1536`, `1538`, `1540`, `1541`, `1544`, `1545`, `1547`, `1548`, `1549`, `1550`, `1551`, `1552`, `1556`, `1557`, `1559`, `1560`, `1561`, `1562`, `1563`, `1564`, `1568`, `1569`, `1571`, `1572`, `1574`, `1577`, `1578`, `1579`, `1580`, `1581`, `1583`, `1585`, `1586`, `1587`, `1588`, `1589`, `1590`, `1591`, `1594`, `1595`, `1596`, `1597`, `1598`, `1599`, `1602`, `1603`, `1605`, `1606`, `1608`, `1610`, `1612`, `1613`, `1614`, `1616`, `1618`, `1619`, `1620`, `1621`, `1622`, `1623`, `1626`, `1627`, `1629`, `1630`, `1631`, `1632`, `1634`, `1636`, `1637`, `1638`, `1639`, `1640`, `1641`, `1642`, `1644`, `1645`, `1647`, `1649`, `1651`, `1653`, `1656`, `1657`, `1658`, `1659`, `1660`, `1661`, `1663`, `1665`, `1666`, `1667`, `1668`, `1670`, `1673`, `1674`, `1676`, `1677`, `1678`, `1679`, `1680`, `1681`, `1684`, `1685`, `1687`, `1688`, `1689`, `1690`, `1692`, `1693`, `1643`, `1694`, `1695`, `1696`, `1697`, `1699`, `1701`, `1702`, `1704`, `1706`, `1708`, `1710`, `1711`, `1712`, `1714`, `1715`, `1717`, `1719`, `1720`, `1721`, `1722`, `1723`, `1724`, `1725`, `1726`, `1727`, `1728`, `1729`, `1730`, `1732`, `1734`, `1735`, `1737`, `1739`, `1741`, `1742`, `1743`, `1745`, `1747`, `1749`, `1750`, `1751`, `1753`, `1754`, `1756`, `1758`, `1759`, `1760`, `1761`, `1762`, `1764`, `1766`, `1768`, `1769`, `1770`, `1771`, `1772`, `1773`, `1774` |
</details>
### Accuracy
| Type | Score |
| --- | --- |
| `TOKEN_F` | 99.96 |
| `TOKEN_P` | 99.95 |
| `TOKEN_R` | 99.96 |
| `TOKEN_ACC` | 100.00 |
| `SENTS_F` | 96.89 |
| `SENTS_P` | 97.15 |
| `SENTS_R` | 96.63 |
| `TAG_ACC` | 98.49 |
| `POS_ACC` | 98.48 |
| `MORPH_ACC` | 98.20 |
| `DEP_UAS` | 89.67 |
| `DEP_LAS` | 87.29 |
| `LEMMA_ACC` | 97.55 | |
dlb/electra-base-portuguese-uncased-brwac | dlb | 2021-12-10T12:33:58Z | 352 | 6 | transformers | [
"transformers",
"pytorch",
"electra",
"pretraining",
"pt",
"dataset:brwac",
"endpoints_compatible",
"region:us"
] | null | 2022-03-02T23:29:05Z | ---
language: pt
tags:
- electra
- pretraining
- pytorch
datasets:
- brwac
---
|
webshell/wav2vec2-base-fine-tune-timit | webshell | 2021-12-10T09:58:10Z | 4 | 1 | transformers | [
"transformers",
"pytorch",
"tensorboard",
"wav2vec2",
"automatic-speech-recognition",
"generated_from_trainer",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | automatic-speech-recognition | 2022-03-02T23:29:05Z | ---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: wav2vec2-base-fine-tune-timit
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# wav2vec2-base-fine-tune-timit
This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4451
- Wer: 0.3422
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 0.0001
- train_batch_size: 32
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 1000
- num_epochs: 30
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 3.6487 | 4.0 | 500 | 1.9065 | 1.0411 |
| 0.8742 | 8.0 | 1000 | 0.4658 | 0.4720 |
| 0.3084 | 12.0 | 1500 | 0.4367 | 0.4010 |
| 0.1825 | 16.0 | 2000 | 0.4403 | 0.3817 |
| 0.1334 | 20.0 | 2500 | 0.4577 | 0.3625 |
| 0.1114 | 24.0 | 3000 | 0.4456 | 0.3537 |
| 0.0835 | 28.0 | 3500 | 0.4451 | 0.3422 |
### Framework versions
- Transformers 4.11.3
- Pytorch 1.10.0+cu111
- Datasets 1.13.3
- Tokenizers 0.10.3
|
masoudmzb/wav2vec2-xlsr-multilingual-53-fa | masoudmzb | 2021-12-10T07:10:05Z | 105 | 6 | transformers | [
"transformers",
"pytorch",
"wav2vec2",
"automatic-speech-recognition",
"arxiv:2006.13979",
"endpoints_compatible",
"region:us"
] | automatic-speech-recognition | 2022-03-02T23:29:05Z | # wav2vec 2.0 multilingual ( Finetued )
The base model pretrained on 16kHz sampled speech audio. When using the model make sure that your speech input is also sampled at 16Khz. Note that this model should be fine-tuned on a downstream task, like Automatic Speech Recognition. Check out [this blog](https://huggingface.co/blog/fine-tune-wav2vec2-english) for more information.
[Paper](https://arxiv.org/abs/2006.13979)
Authors: Alexis Conneau, Alexei Baevski, Ronan Collobert, Abdelrahman Mohamed, Michael Auli
**Abstract** This paper presents XLSR which learns cross-lingual speech representations by pretraining a single model from the raw waveform of speech in multiple languages. We build on wav2vec 2.0 which is trained by solving a contrastive task over masked latent speech representations and jointly learns a quantization of the latents shared across languages. The resulting model is fine-tuned on labeled data and experiments show that cross-lingual pretraining significantly outperforms monolingual pretraining. On the CommonVoice benchmark, XLSR shows a relative phoneme error rate reduction of 72% compared to the best known results. On BABEL, our approach improves word error rate by 16% relative compared to a comparable system. Our approach enables a single multilingual speech recognition model which is competitive to strong individual models. Analysis shows that the latent discrete speech representations are shared across languages with increased sharing for related languages. We hope to catalyze research in low-resource speech understanding by releasing XLSR-53, a large model pretrained in 53 languages.
The original model can be found under https://github.com/pytorch/fairseq/tree/master/examples/wav2vec#wav2vec-20.
Fine-tuned [facebook/wav2vec2-large-xlsr-53](https://huggingface.co/facebook/wav2vec2-large-xlsr-53) in Persian (Farsi) using [Common Voice](https://huggingface.co/datasets/common_voice) plus Our own created Dataset(1/3 of total dataset). When using this model, make sure that your speech input is sampled at 16kHz.
## Evaluation: 🌡️
We have evaluated the model on private dataset with different type of audios (unfortunately the dataset for testing and validation is not publicly available but to see a sample of the dataset [check this link)](https://github.com/shenasa-ai/speech2text#part-of-our-dataset-v01--) :
| Name | test dataset (wer) |
| :----------------------------------------------------------: | :-----------------: |
| [m3hrdadfi/wav2vec2-large-xlsr-persian-v3](https://huggingface.co/m3hrdadfi/wav2vec2-large-xlsr-persian-v3) | 0.56754 |
| [This New Model](https://huggingface.co/masoudmzb/wav2vec2-xlsr-multilingual-53-fa) | **0.40815** |
| Base Multilingual Model | 0.69746 |
- This Table show if we add more data we will have much better result
## How to use❓
### Use FineTuned Model
This model is finetuned on [m3hrdadfi/wav2vec2-large-xlsr-persian-v3](https://huggingface.co/m3hrdadfi/wav2vec2-large-xlsr-persian-v3) , so the process for train or evaluation is same
> ```bash
> # requirement packages
> !pip install git+https://github.com/huggingface/datasets.git
> !pip install git+https://github.com/huggingface/transformers.git
> !pip install torchaudio
> !pip install librosa
> !pip install jiwer
> !pip install parsivar
> !pip install num2fawords
> ```
**Normalizer**
```bash
# Normalizer
!wget -O normalizer.py https://huggingface.co/m3hrdadfi/"wav2vec2-large-xlsr-persian-v3/raw/main/dictionary.py
!wget -O normalizer.py https://huggingface.co/m3hrdadfi/"wav2vec2-large-xlsr-persian-v3/raw/main/normalizer.py
```
If you are not sure your transcriptions are clean or not (having weird characters or any other alphabete chars ) use this code provided by [m3hrdadfi/wav2vec2-large-xlsr-persian-v3](https://huggingface.co/m3hrdadfi/wav2vec2-large-xlsr-persian-v3)
**Cleaning** (Fill the data part with your own data dir)
```python
from normalizer import normalizer
def cleaning(text):
if not isinstance(text, str):
return None
return normalizer({"sentence": text}, return_dict=False)
# edit these parts with your own data directory
data_dir = "data"
test = pd.read_csv(f"{data_dir}/yourtest.tsv", sep=" ")
test["path"] = data_dir + "/clips/" + test["path"]
print(f"Step 0: {len(test)}")
test["status"] = test["path"].apply(lambda path: True if os.path.exists(path) else None)
test = test.dropna(subset=["path"])
test = test.drop("status", 1)
print(f"Step 1: {len(test)}")
test["sentence"] = test["sentence"].apply(lambda t: cleaning(t))
test = test.dropna(subset=["sentence"])
print(f"Step 2: {len(test)}")
test = test.reset_index(drop=True)
print(test.head())
test = test[["path", "sentence"]]
test.to_csv("/content/test.csv", sep=" ", encoding="utf-8", index=False)
```
**Prediction**
```python
import numpy as np
import pandas as pd
import librosa
import torch
import torchaudio
from transformers import Wav2Vec2ForCTC, Wav2Vec2Processor
from datasets import load_dataset, load_metric
import IPython.display as ipd
model_name_or_path = "masoudmzb/wav2vec2-xlsr-multilingual-53-fa"
device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
print(model_name_or_path, device)
processor = Wav2Vec2Processor.from_pretrained(model_name_or_path)
model = Wav2Vec2ForCTC.from_pretrained(model_name_or_path).to(device)
def speech_file_to_array_fn(batch):
speech_array, sampling_rate = torchaudio.load(batch["path"])
speech_array = speech_array.squeeze().numpy()
speech_array = librosa.resample(np.asarray(speech_array), sampling_rate, processor.feature_extractor.sampling_rate)
batch["speech"] = speech_array
return batch
def predict(batch):
features = processor(
batch["speech"],
sampling_rate=processor.feature_extractor.sampling_rate,
return_tensors="pt",
padding=True
)
input_values = features.input_values.to(device)
attention_mask = features.attention_mask.to(device)
with torch.no_grad():
logits = model(input_values, attention_mask=attention_mask).logits
pred_ids = torch.argmax(logits, dim=-1)
batch["predicted"] = processor.batch_decode(pred_ids)
return batch
# edit these parts with your own data directory
dataset = load_dataset("csv", data_files={"test": "/path_to/your_test.csv"}, delimiter=" ")["test"]
dataset = dataset.map(speech_file_to_array_fn)
result = dataset.map(predict, batched=True, batch_size=4)
```
**WER Score**
```python
wer = load_metric("wer")
print("WER: {:.2f}".format(100 * wer.compute(predictions=result["predicted"], references=result["sentence"])))
```
**Output**
```python
max_items = np.random.randint(0, len(result), 20).tolist()
for i in max_items:
reference, predicted = result["sentence"][i], result["predicted"][i]
print("reference:", reference)
print("predicted:", predicted)
print('---')
```
## training details: 🔭
One model was trained on Persian Mozilla dataset before So we Decided to continue from that one. Model is warm started from `mehrdadfa`’s [checkpoint](https://huggingface.co/m3hrdadfi/wav2vec2-large-xlsr-persian-v3)
- For more details, you can take a look at config.json at the model card in 🤗 Model Hub
- The model trained 84000 steps, equal to 12.42 Epochs.
- The base model to finetune was https://huggingface.co/m3hrdadfi/wav2vec2-large-xlsr-persian-v3/tree/main
## Fine Tuning Recommendations: 🐤
For fine tuning you can check the link below. but be aware some Tips. you may need gradient_accumulation because you need more batch size. the are many hyperparameters make sure you set them properly :
- learning_rate
- attention_dropout
- hidden_dropout
- feat_proj_dropout
- mask_time_prob
- layer_drop
### Fine Tuning Examples 👷♂️👷♀️
| Dataset | Fine Tuning Example |
| ------------------------------------------------ | ------------------------------------------------------------ |
| Fine Tune on Mozilla Turkish Dataset | <a href="https://colab.research.google.com/github/patrickvonplaten/notebooks/blob/master/Fine_Tune_XLSR_Wav2Vec2_on_Turkish_ASR_with_%F0%9F%A4%97_Transformers.ipynb"><img src="https://img.shields.io/static/v1?label=Colab&message=Fine-tuning Example&logo=Google%20Colab&color=f9ab00"></a> |
| Sample Code for Other Dataset And other Language | [github_link](https://github.com/m3hrdadfi/notebooks/) |
## Contact us: 🤝
If you have a technical question regarding the model, pretraining, code or publication, please create an issue in the repository. This is the fastest way to reach us.
## Citation: ↩️
we didn't publish any papers on the work. However, if you did, please cite us properly with an entry like one below.
```bibtex
@misc{wav2vec2-xlsr-multilingual-53-fa,
author = {Paparnchi, Seyyed Mohammad Masoud},
title = {wav2vec2-xlsr-multilingual-53-fa},
year = 2021,
publisher = {GitHub},
journal = {GitHub repository},
howpublished = {\url{https://github.com/Hamtech-ai/wav2vec2-fa}},
}
``` |
kco4776/kogpt-chat | kco4776 | 2021-12-10T06:24:09Z | 3 | 0 | transformers | [
"transformers",
"pytorch",
"gpt2",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | null | 2022-03-02T23:29:05Z | ## References
- [koGPT2](https://github.com/SKT-AI/KoGPT2)
- [koGPT2-chatbot](https://github.com/haven-jeon/KoGPT2-chatbot) |
huggingtweets/moncleryear | huggingtweets | 2021-12-10T06:00:52Z | 4 | 0 | transformers | [
"transformers",
"pytorch",
"gpt2",
"text-generation",
"huggingtweets",
"en",
"autotrain_compatible",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | text-generation | 2022-03-02T23:29:05Z | ---
language: en
thumbnail: http://www.huggingtweets.com/moncleryear/1639116048575/predictions.png
tags:
- huggingtweets
widget:
- text: "My dream is"
---
<div class="inline-flex flex-col" style="line-height: 1.5;">
<div class="flex">
<div
style="display:inherit; margin-left: 4px; margin-right: 4px; width: 92px; height:92px; border-radius: 50%; background-size: cover; background-image: url('https://pbs.twimg.com/profile_images/1455663704146579459/y1Vb5Ur2_400x400.jpg')">
</div>
<div
style="display:none; margin-left: 4px; margin-right: 4px; width: 92px; height:92px; border-radius: 50%; background-size: cover; background-image: url('')">
</div>
<div
style="display:none; margin-left: 4px; margin-right: 4px; width: 92px; height:92px; border-radius: 50%; background-size: cover; background-image: url('')">
</div>
</div>
<div style="text-align: center; margin-top: 3px; font-size: 16px; font-weight: 800">🤖 AI BOT 🤖</div>
<div style="text-align: center; font-size: 16px; font-weight: 800">Ɠucci</div>
<div style="text-align: center; font-size: 14px;">@moncleryear</div>
</div>
I was made with [huggingtweets](https://github.com/borisdayma/huggingtweets).
Create your own bot based on your favorite user with [the demo](https://colab.research.google.com/github/borisdayma/huggingtweets/blob/master/huggingtweets-demo.ipynb)!
## How does it work?
The model uses the following pipeline.
To understand how the model was developed, check the [W&B report](https://wandb.ai/wandb/huggingtweets/reports/HuggingTweets-Train-a-Model-to-Generate-Tweets--VmlldzoxMTY5MjI).
## Training data
The model was trained on tweets from Ɠucci.
| Data | Ɠucci |
| --- | --- |
| Tweets downloaded | 3244 |
| Retweets | 47 |
| Short tweets | 716 |
| Tweets kept | 2481 |
[Explore the data](https://wandb.ai/wandb/huggingtweets/runs/133g5roi/artifacts), which is tracked with [W&B artifacts](https://docs.wandb.com/artifacts) at every step of the pipeline.
## Training procedure
The model is based on a pre-trained [GPT-2](https://huggingface.co/gpt2) which is fine-tuned on @moncleryear's tweets.
Hyperparameters and metrics are recorded in the [W&B training run](https://wandb.ai/wandb/huggingtweets/runs/klif92y8) for full transparency and reproducibility.
At the end of training, [the final model](https://wandb.ai/wandb/huggingtweets/runs/klif92y8/artifacts) is logged and versioned.
## How to use
You can use this model directly with a pipeline for text generation:
```python
from transformers import pipeline
generator = pipeline('text-generation',
model='huggingtweets/moncleryear')
generator("My dream is", num_return_sequences=5)
```
## Limitations and bias
The model suffers from [the same limitations and bias as GPT-2](https://huggingface.co/gpt2#limitations-and-bias).
In addition, the data present in the user's tweets further affects the text generated by the model.
## About
*Built by Boris Dayma*
[](https://twitter.com/intent/follow?screen_name=borisdayma)
For more details, visit the project repository.
[](https://github.com/borisdayma/huggingtweets)
|
huggingtweets/notcrypticno | huggingtweets | 2021-12-10T05:41:54Z | 4 | 0 | transformers | [
"transformers",
"pytorch",
"gpt2",
"text-generation",
"huggingtweets",
"en",
"autotrain_compatible",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | text-generation | 2022-03-02T23:29:05Z | ---
language: en
thumbnail: http://www.huggingtweets.com/notcrypticno/1639114910066/predictions.png
tags:
- huggingtweets
widget:
- text: "My dream is"
---
<div class="inline-flex flex-col" style="line-height: 1.5;">
<div class="flex">
<div
style="display:inherit; margin-left: 4px; margin-right: 4px; width: 92px; height:92px; border-radius: 50%; background-size: cover; background-image: url('https://pbs.twimg.com/profile_images/1462813846746406916/M_72p8Tr_400x400.jpg')">
</div>
<div
style="display:none; margin-left: 4px; margin-right: 4px; width: 92px; height:92px; border-radius: 50%; background-size: cover; background-image: url('')">
</div>
<div
style="display:none; margin-left: 4px; margin-right: 4px; width: 92px; height:92px; border-radius: 50%; background-size: cover; background-image: url('')">
</div>
</div>
<div style="text-align: center; margin-top: 3px; font-size: 16px; font-weight: 800">🤖 AI BOT 🤖</div>
<div style="text-align: center; font-size: 16px; font-weight: 800">incognito tab #3</div>
<div style="text-align: center; font-size: 14px;">@notcrypticno</div>
</div>
I was made with [huggingtweets](https://github.com/borisdayma/huggingtweets).
Create your own bot based on your favorite user with [the demo](https://colab.research.google.com/github/borisdayma/huggingtweets/blob/master/huggingtweets-demo.ipynb)!
## How does it work?
The model uses the following pipeline.
To understand how the model was developed, check the [W&B report](https://wandb.ai/wandb/huggingtweets/reports/HuggingTweets-Train-a-Model-to-Generate-Tweets--VmlldzoxMTY5MjI).
## Training data
The model was trained on tweets from incognito tab #3.
| Data | incognito tab #3 |
| --- | --- |
| Tweets downloaded | 3248 |
| Retweets | 30 |
| Short tweets | 1015 |
| Tweets kept | 2203 |
[Explore the data](https://wandb.ai/wandb/huggingtweets/runs/2c09ohhz/artifacts), which is tracked with [W&B artifacts](https://docs.wandb.com/artifacts) at every step of the pipeline.
## Training procedure
The model is based on a pre-trained [GPT-2](https://huggingface.co/gpt2) which is fine-tuned on @notcrypticno's tweets.
Hyperparameters and metrics are recorded in the [W&B training run](https://wandb.ai/wandb/huggingtweets/runs/lmw2qufb) for full transparency and reproducibility.
At the end of training, [the final model](https://wandb.ai/wandb/huggingtweets/runs/lmw2qufb/artifacts) is logged and versioned.
## How to use
You can use this model directly with a pipeline for text generation:
```python
from transformers import pipeline
generator = pipeline('text-generation',
model='huggingtweets/notcrypticno')
generator("My dream is", num_return_sequences=5)
```
## Limitations and bias
The model suffers from [the same limitations and bias as GPT-2](https://huggingface.co/gpt2#limitations-and-bias).
In addition, the data present in the user's tweets further affects the text generated by the model.
## About
*Built by Boris Dayma*
[](https://twitter.com/intent/follow?screen_name=borisdayma)
For more details, visit the project repository.
[](https://github.com/borisdayma/huggingtweets)
|
luoren000/Token_Classification | luoren000 | 2021-12-09T20:47:25Z | 0 | 0 | null | [
"tensorboard",
"region:us"
] | null | 2022-03-02T23:29:05Z | This is Contract Token Classification Model |
Subsets and Splits