
### jpn-dan

* source group: Japanese 
* target group: Danish 
*  OPUS readme: [jpn-dan](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/jpn-dan/README.md)

*  model: transformer-align
* source language(s): jpn_Hani jpn_Hira jpn_Kana jpn_Latn jpn_Yiii
* target language(s): dan
* model: transformer-align
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* download original weights: [opus-2020-06-17.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/jpn-dan/opus-2020-06-17.zip)
* test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/jpn-dan/opus-2020-06-17.test.txt)
* test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/jpn-dan/opus-2020-06-17.eval.txt)

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.jpn.dan 	| 43.2 	| 0.590 |


### System Info: 
- hf_name: jpn-dan

- source_languages: jpn

- target_languages: dan

- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/jpn-dan/README.md

- original_repo: Tatoeba-Challenge

- tags: ['translation']

- languages: ['ja', 'da']

- src_constituents: {'jpn_Hang', 'jpn', 'jpn_Yiii', 'jpn_Kana', 'jpn_Hani', 'jpn_Bopo', 'jpn_Latn', 'jpn_Hira'}

- tgt_constituents: {'dan'}

- src_multilingual: False

- tgt_multilingual: False

- prepro:  normalization + SentencePiece (spm32k,spm32k)

- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/jpn-dan/opus-2020-06-17.zip

- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/jpn-dan/opus-2020-06-17.test.txt

- src_alpha3: jpn

- tgt_alpha3: dan

- short_pair: ja-da

- chrF2_score: 0.59

- bleu: 43.2

- brevity_penalty: 0.972

- ref_len: 5823.0

- src_name: Japanese

- tgt_name: Danish

- train_date: 2020-06-17

- src_alpha2: ja

- tgt_alpha2: da

- prefer_old: False

- long_pair: jpn-dan

- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535

- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b

- port_machine: brutasse

- port_time: 2020-08-21-14:41
{"language": ["ja", "da"], "license": "apache-2.0", "tags": ["translation"]}
transformers pytorch tf marian text2text-generation translation ja da license:apache-2.0 autotrain_compatible endpoints_compatible has_space region:us
TAGS
#transformers #pytorch #tf #marian #text2text-generation #translation #ja #da #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us 

### jpn-dan


* source group: Japanese
* target group: Danish
* OPUS readme: jpn-dan
* model: transformer-align
* source language(s): jpn\_Hani jpn\_Hira jpn\_Kana jpn\_Latn jpn\_Yiii
* target language(s): dan
* model: transformer-align
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* download original weights: URL
* test set translations: URL
* test set scores: URL


Benchmarks
----------


testset: URL, BLEU: 43.2, chr-F: 0.590


### System Info:


* hf\_name: jpn-dan
* source\_languages: jpn
* target\_languages: dan
* opus\_readme\_url: URL
* original\_repo: Tatoeba-Challenge
* tags: ['translation']
* languages: ['ja', 'da']
* src\_constituents: {'jpn\_Hang', 'jpn', 'jpn\_Yiii', 'jpn\_Kana', 'jpn\_Hani', 'jpn\_Bopo', 'jpn\_Latn', 'jpn\_Hira'}
* tgt\_constituents: {'dan'}
* src\_multilingual: False
* tgt\_multilingual: False
* prepro: normalization + SentencePiece (spm32k,spm32k)
* url\_model: URL
* url\_test\_set: URL
* src\_alpha3: jpn
* tgt\_alpha3: dan
* short\_pair: ja-da
* chrF2\_score: 0.59
* bleu: 43.2
* brevity\_penalty: 0.972
* ref\_len: 5823.0
* src\_name: Japanese
* tgt\_name: Danish
* train\_date: 2020-06-17
* src\_alpha2: ja
* tgt\_alpha2: da
* prefer\_old: False
* long\_pair: jpn-dan
* helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
* transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
* port\_machine: brutasse
* port\_time: 2020-08-21-14:41



### jpn-dan


* source group: Japanese
* target group: Danish
* OPUS readme: jpn-dan
* model: transformer-align
* source language(s): jpn\_Hani jpn\_Hira jpn\_Kana jpn\_Latn jpn\_Yiii
* target language(s): dan
* model: transformer-align
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* download original weights: URL
* test set translations: URL
* test set scores: URL


Benchmarks
----------


testset: URL, BLEU: 43.2, chr-F: 0.590 ### System Info:


* hf\_name: jpn-dan
* source\_languages: jpn
* target\_languages: dan
* opus\_readme\_url: URL
* original\_repo: Tatoeba-Challenge
* tags: ['translation']
* languages: ['ja', 'da']
* src\_constituents: {'jpn\_Hang', 'jpn', 'jpn\_Yiii', 'jpn\_Kana', 'jpn\_Hani', 'jpn\_Bopo', 'jpn\_Latn', 'jpn\_Hira'}
* tgt\_constituents: {'dan'}
* src\_multilingual: False
* tgt\_multilingual: False
* prepro: normalization + SentencePiece (spm32k,spm32k)
* url\_model: URL
* url\_test\_set: URL
* src\_alpha3: jpn
* tgt\_alpha3: dan
* short\_pair: ja-da
* chrF2\_score: 0.59
* bleu: 43.2
* brevity\_penalty: 0.972
* ref\_len: 5823.0
* src\_name: Japanese
* tgt\_name: Danish
* train\_date: 2020-06-17
* src\_alpha2: ja
* tgt\_alpha2: da
* prefer\_old: False
* long\_pair: jpn-dan
* helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
* transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
* port\_machine: brutasse
* port\_time: 2020-08-21-14:41
TAGS
#transformers #pytorch #tf #marian #text2text-generation #translation #ja #da #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us 
 ### jpn-dan


* source group: Japanese
* target group: Danish
* OPUS readme: jpn-dan
* model: transformer-align
* source language(s): jpn\_Hani jpn\_Hira jpn\_Kana jpn\_Latn jpn\_Yiii
* target language(s): dan
* model: transformer-align
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* download original weights: URL
* test set translations: URL
* test set scores: URL


Benchmarks
----------


testset: URL, BLEU: 43.2, chr-F: 0.590 ### System Info:


* hf\_name: jpn-dan
* source\_languages: jpn
* target\_languages: dan
* opus\_readme\_url: URL
* original\_repo: Tatoeba-Challenge
* tags: ['translation']
* languages: ['ja', 'da']
* src\_constituents: {'jpn\_Hang', 'jpn', 'jpn\_Yiii', 'jpn\_Kana', 'jpn\_Hani', 'jpn\_Bopo', 'jpn\_Latn', 'jpn\_Hira'}
* tgt\_constituents: {'dan'}
* src\_multilingual: False
* tgt\_multilingual: False
* prepro: normalization + SentencePiece (spm32k,spm32k)
* url\_model: URL
* url\_test\_set: URL
* src\_alpha3: jpn
* tgt\_alpha3: dan
* short\_pair: ja-da
* chrF2\_score: 0.59
* bleu: 43.2
* brevity\_penalty: 0.972
* ref\_len: 5823.0
* src\_name: Japanese
* tgt\_name: Danish
* train\_date: 2020-06-17
* src\_alpha2: ja
* tgt\_alpha2: da
* prefer\_old: False
* long\_pair: jpn-dan
* helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
* transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
* port\_machine: brutasse
* port\_time: 2020-08-21-14:41
TAGS
#transformers #pytorch #tf #marian #text2text-generation #translation #ja #da #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us 
### jpn-dan


* source group: Japanese
* target group: Danish
* OPUS readme: jpn-dan
* model: transformer-align
* source language(s): jpn\_Hani jpn\_Hira jpn\_Kana jpn\_Latn jpn\_Yiii
* target language(s): dan
* model: transformer-align
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* download original weights: URL
* test set translations: URL
* test set scores: URL


Benchmarks
----------


testset: URL, BLEU: 43.2, chr-F: 0.590### System Info:


* hf\_name: jpn-dan
* source\_languages: jpn
* target\_languages: dan
* opus\_readme\_url: URL
* original\_repo: Tatoeba-Challenge
* tags: ['translation']
* languages: ['ja', 'da']
* src\_constituents: {'jpn\_Hang', 'jpn', 'jpn\_Yiii', 'jpn\_Kana', 'jpn\_Hani', 'jpn\_Bopo', 'jpn\_Latn', 'jpn\_Hira'}
* tgt\_constituents: {'dan'}
* src\_multilingual: False
* tgt\_multilingual: False
* prepro: normalization + SentencePiece (spm32k,spm32k)
* url\_model: URL
* url\_test\_set: URL
* src\_alpha3: jpn
* tgt\_alpha3: dan
* short\_pair: ja-da
* chrF2\_score: 0.59
* bleu: 43.2
* brevity\_penalty: 0.972
* ref\_len: 5823.0
* src\_name: Japanese
* tgt\_name: Danish
* train\_date: 2020-06-17
* src\_alpha2: ja
* tgt\_alpha2: da
* prefer\_old: False
* long\_pair: jpn-dan
* helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
* transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
* port\_machine: brutasse
* port\_time: 2020-08-21-14:41