# Bengali to English Word Aligner
Finetuned Model for **Bengali to English Word** which was build on `bert-base-multilingual-cased`

## Quick Start
Initialize to use it in your project

```python
tokenizer = AutoTokenizer.from_pretrained("musfiqdehan/bengali-english-word-aligner")
model = AutoModel.from_pretrained("musfiqdehan/bengali-english-word-aligner")
```
## Bengali-English Word Alignment

[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/drive/1x5wUXS7vdWNeROkJS_B_lUwKTJZGaB7v?usp=sharing)

[![Kaggle](https://kaggle.com/static/images/open-in-kaggle.svg)](https://www.kaggle.com/musfiqdehan/bengali-english-alignment-demo)

Install Dependencies
```
!pip install -U data-preprocessors
!pip install -U bangla-postagger
```
Import Necessary Libraries
```python
from pprint import pprint
from data_preprocessors import text_preprocessor as tp
from bangla_postagger import (en_postaggers as ep,
                              bn_en_mapper as bem,
                              translators as trans)
```

Testing Word Mapping and Alignment

```python
src = "আমি ভাত খাই না, রুটি খাই।"
tgt = "I do not eat rice, I eat bread."

# Give one space before and after punctuation
# for easy tokenization
src = tp.space_punc(src)
tgt = tp.space_punc(tgt)

print("Word Mapping:")
mapping = bem.get_word_mapping(
    source=src, target=tgt, model_path="musfiqdehan/bengali-english-word-aligner")
pprint(mapping)
```

Output
```
Word Mapping:
['bn:(আমি) -> en:(I)',
 'bn:(ভাত) -> en:(rice)',
 'bn:(খাই) -> en:(do)',
 'bn:(খাই) -> en:(eat)',
 'bn:(না) -> en:(not)',
 'bn:(,) -> en:(,)',
 'bn:(রুটি) -> en:(bread)',
 'bn:(খাই) -> en:(eat)',
 'bn:(।) -> en:(.)']
```
{"license": "mit"}
transformers pytorch bert fill-mask license:mit autotrain_compatible endpoints_compatible has_space region:us
TAGS
#transformers #pytorch #bert #fill-mask #license-mit #autotrain_compatible #endpoints_compatible #has_space #region-us 

# Bengali to English Word Aligner
Finetuned Model for Bengali to English Word which was build on 'bert-base-multilingual-cased'

## Quick Start
Initialize to use it in your project


## Bengali-English Word Alignment

![Open In Colab](URL

![Kaggle](URL

Install Dependencies

Import Necessary Libraries


Testing Word Mapping and Alignment



Output

# Bengali to English Word Aligner
Finetuned Model for Bengali to English Word which was build on 'bert-base-multilingual-cased' ## Quick Start
Initialize to use it in your project ## Bengali-English Word Alignment

![Open In Colab](URL

![Kaggle](URL

Install Dependencies

Import Necessary Libraries


Testing Word Mapping and Alignment



Output
TAGS
#transformers #pytorch #bert #fill-mask #license-mit #autotrain_compatible #endpoints_compatible #has_space #region-us 
 # Bengali to English Word Aligner
Finetuned Model for Bengali to English Word which was build on 'bert-base-multilingual-cased' ## Quick Start
Initialize to use it in your project ## Bengali-English Word Alignment

![Open In Colab](URL

![Kaggle](URL

Install Dependencies

Import Necessary Libraries


Testing Word Mapping and Alignment



Output
passage: TAGS
#transformers #pytorch #bert #fill-mask #license-mit #autotrain_compatible #endpoints_compatible #has_space #region-us 
# Bengali to English Word Aligner
Finetuned Model for Bengali to English Word which was build on 'bert-base-multilingual-cased'## Quick Start
Initialize to use it in your project## Bengali-English Word Alignment

![Open In Colab](URL

![Kaggle](URL

Install Dependencies

Import Necessary Libraries


Testing Word Mapping and Alignment



Output