
### eng-trk

* source group: English 
* target group: Turkic languages 
*  OPUS readme: [eng-trk](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-trk/README.md)

*  model: transformer
* source language(s): eng
* target language(s): aze_Latn bak chv crh crh_Latn kaz_Cyrl kaz_Latn kir_Cyrl kjh kum ota_Arab ota_Latn sah tat tat_Arab tat_Latn tuk tuk_Latn tur tyv uig_Arab uig_Cyrl uzb_Cyrl uzb_Latn
* model: transformer
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* a sentence initial language token is required in the form of `>>id<<` (id = valid target language ID)
* download original weights: [opus2m-2020-08-01.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-trk/opus2m-2020-08-01.zip)
* test set translations: [opus2m-2020-08-01.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-trk/opus2m-2020-08-01.test.txt)
* test set scores: [opus2m-2020-08-01.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-trk/opus2m-2020-08-01.eval.txt)

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| newsdev2016-entr-engtur.eng.tur 	| 10.1 	| 0.437 |
| newstest2016-entr-engtur.eng.tur 	| 9.2 	| 0.410 |
| newstest2017-entr-engtur.eng.tur 	| 9.0 	| 0.410 |
| newstest2018-entr-engtur.eng.tur 	| 9.2 	| 0.413 |
| Tatoeba-test.eng-aze.eng.aze 	| 26.8 	| 0.577 |
| Tatoeba-test.eng-bak.eng.bak 	| 7.6 	| 0.308 |
| Tatoeba-test.eng-chv.eng.chv 	| 4.3 	| 0.270 |
| Tatoeba-test.eng-crh.eng.crh 	| 8.1 	| 0.330 |
| Tatoeba-test.eng-kaz.eng.kaz 	| 11.1 	| 0.359 |
| Tatoeba-test.eng-kir.eng.kir 	| 28.6 	| 0.524 |
| Tatoeba-test.eng-kjh.eng.kjh 	| 1.0 	| 0.041 |
| Tatoeba-test.eng-kum.eng.kum 	| 2.2 	| 0.075 |
| Tatoeba-test.eng.multi 	| 19.9 	| 0.455 |
| Tatoeba-test.eng-ota.eng.ota 	| 0.5 	| 0.065 |
| Tatoeba-test.eng-sah.eng.sah 	| 0.7 	| 0.030 |
| Tatoeba-test.eng-tat.eng.tat 	| 9.7 	| 0.316 |
| Tatoeba-test.eng-tuk.eng.tuk 	| 5.9 	| 0.317 |
| Tatoeba-test.eng-tur.eng.tur 	| 34.6 	| 0.623 |
| Tatoeba-test.eng-tyv.eng.tyv 	| 5.4 	| 0.210 |
| Tatoeba-test.eng-uig.eng.uig 	| 0.1 	| 0.155 |
| Tatoeba-test.eng-uzb.eng.uzb 	| 3.4 	| 0.275 |


### System Info: 
- hf_name: eng-trk

- source_languages: eng

- target_languages: trk

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

- original_repo: Tatoeba-Challenge

- tags: ['translation']

- languages: ['en', 'tt', 'cv', 'tk', 'tr', 'ba', 'trk']

- src_constituents: {'eng'}

- tgt_constituents: {'kir_Cyrl', 'tat_Latn', 'tat', 'chv', 'uzb_Cyrl', 'kaz_Latn', 'aze_Latn', 'crh', 'kjh', 'uzb_Latn', 'ota_Arab', 'tuk_Latn', 'tuk', 'tat_Arab', 'sah', 'tyv', 'tur', 'uig_Arab', 'crh_Latn', 'kaz_Cyrl', 'uig_Cyrl', 'kum', 'ota_Latn', 'bak'}

- src_multilingual: False

- tgt_multilingual: True

- prepro:  normalization + SentencePiece (spm32k,spm32k)

- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-trk/opus2m-2020-08-01.zip

- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-trk/opus2m-2020-08-01.test.txt

- src_alpha3: eng

- tgt_alpha3: trk

- short_pair: en-trk

- chrF2_score: 0.455

- bleu: 19.9

- brevity_penalty: 1.0

- ref_len: 57072.0

- src_name: English

- tgt_name: Turkic languages

- train_date: 2020-08-01

- src_alpha2: en

- tgt_alpha2: trk

- prefer_old: False

- long_pair: eng-trk

- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535

- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b

- port_machine: brutasse

- port_time: 2020-08-21-14:41
{"language": ["en", "tt", "cv", "tk", "tr", "ba", "trk"], "license": "apache-2.0", "tags": ["translation"]}
transformers pytorch tf marian text2text-generation translation en tt cv tk tr ba trk license:apache-2.0 autotrain_compatible endpoints_compatible has_space region:us
TAGS
#transformers #pytorch #tf #marian #text2text-generation #translation #en #tt #cv #tk #tr #ba #trk #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us 

### eng-trk


* source group: English
* target group: Turkic languages
* OPUS readme: eng-trk
* model: transformer
* source language(s): eng
* target language(s): aze\_Latn bak chv crh crh\_Latn kaz\_Cyrl kaz\_Latn kir\_Cyrl kjh kum ota\_Arab ota\_Latn sah tat tat\_Arab tat\_Latn tuk tuk\_Latn tur tyv uig\_Arab uig\_Cyrl uzb\_Cyrl uzb\_Latn
* model: transformer
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* a sentence initial language token is required in the form of '>>id<<' (id = valid target language ID)
* download original weights: URL
* test set translations: URL
* test set scores: URL


Benchmarks
----------


testset: URL, BLEU: 10.1, chr-F: 0.437
testset: URL, BLEU: 9.2, chr-F: 0.410
testset: URL, BLEU: 9.0, chr-F: 0.410
testset: URL, BLEU: 9.2, chr-F: 0.413
testset: URL, BLEU: 26.8, chr-F: 0.577
testset: URL, BLEU: 7.6, chr-F: 0.308
testset: URL, BLEU: 4.3, chr-F: 0.270
testset: URL, BLEU: 8.1, chr-F: 0.330
testset: URL, BLEU: 11.1, chr-F: 0.359
testset: URL, BLEU: 28.6, chr-F: 0.524
testset: URL, BLEU: 1.0, chr-F: 0.041
testset: URL, BLEU: 2.2, chr-F: 0.075
testset: URL, BLEU: 19.9, chr-F: 0.455
testset: URL, BLEU: 0.5, chr-F: 0.065
testset: URL, BLEU: 0.7, chr-F: 0.030
testset: URL, BLEU: 9.7, chr-F: 0.316
testset: URL, BLEU: 5.9, chr-F: 0.317
testset: URL, BLEU: 34.6, chr-F: 0.623
testset: URL, BLEU: 5.4, chr-F: 0.210
testset: URL, BLEU: 0.1, chr-F: 0.155
testset: URL, BLEU: 3.4, chr-F: 0.275


### System Info:


* hf\_name: eng-trk
* source\_languages: eng
* target\_languages: trk
* opus\_readme\_url: URL
* original\_repo: Tatoeba-Challenge
* tags: ['translation']
* languages: ['en', 'tt', 'cv', 'tk', 'tr', 'ba', 'trk']
* src\_constituents: {'eng'}
* tgt\_constituents: {'kir\_Cyrl', 'tat\_Latn', 'tat', 'chv', 'uzb\_Cyrl', 'kaz\_Latn', 'aze\_Latn', 'crh', 'kjh', 'uzb\_Latn', 'ota\_Arab', 'tuk\_Latn', 'tuk', 'tat\_Arab', 'sah', 'tyv', 'tur', 'uig\_Arab', 'crh\_Latn', 'kaz\_Cyrl', 'uig\_Cyrl', 'kum', 'ota\_Latn', 'bak'}
* src\_multilingual: False
* tgt\_multilingual: True
* prepro: normalization + SentencePiece (spm32k,spm32k)
* url\_model: URL
* url\_test\_set: URL
* src\_alpha3: eng
* tgt\_alpha3: trk
* short\_pair: en-trk
* chrF2\_score: 0.455
* bleu: 19.9
* brevity\_penalty: 1.0
* ref\_len: 57072.0
* src\_name: English
* tgt\_name: Turkic languages
* train\_date: 2020-08-01
* src\_alpha2: en
* tgt\_alpha2: trk
* prefer\_old: False
* long\_pair: eng-trk
* helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
* transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
* port\_machine: brutasse
* port\_time: 2020-08-21-14:41



### eng-trk


* source group: English
* target group: Turkic languages
* OPUS readme: eng-trk
* model: transformer
* source language(s): eng
* target language(s): aze\_Latn bak chv crh crh\_Latn kaz\_Cyrl kaz\_Latn kir\_Cyrl kjh kum ota\_Arab ota\_Latn sah tat tat\_Arab tat\_Latn tuk tuk\_Latn tur tyv uig\_Arab uig\_Cyrl uzb\_Cyrl uzb\_Latn
* model: transformer
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* a sentence initial language token is required in the form of '>>id<<' (id = valid target language ID)
* download original weights: URL
* test set translations: URL
* test set scores: URL


Benchmarks
----------


testset: URL, BLEU: 10.1, chr-F: 0.437
testset: URL, BLEU: 9.2, chr-F: 0.410
testset: URL, BLEU: 9.0, chr-F: 0.410
testset: URL, BLEU: 9.2, chr-F: 0.413
testset: URL, BLEU: 26.8, chr-F: 0.577
testset: URL, BLEU: 7.6, chr-F: 0.308
testset: URL, BLEU: 4.3, chr-F: 0.270
testset: URL, BLEU: 8.1, chr-F: 0.330
testset: URL, BLEU: 11.1, chr-F: 0.359
testset: URL, BLEU: 28.6, chr-F: 0.524
testset: URL, BLEU: 1.0, chr-F: 0.041
testset: URL, BLEU: 2.2, chr-F: 0.075
testset: URL, BLEU: 19.9, chr-F: 0.455
testset: URL, BLEU: 0.5, chr-F: 0.065
testset: URL, BLEU: 0.7, chr-F: 0.030
testset: URL, BLEU: 9.7, chr-F: 0.316
testset: URL, BLEU: 5.9, chr-F: 0.317
testset: URL, BLEU: 34.6, chr-F: 0.623
testset: URL, BLEU: 5.4, chr-F: 0.210
testset: URL, BLEU: 0.1, chr-F: 0.155
testset: URL, BLEU: 3.4, chr-F: 0.275 ### System Info:


* hf\_name: eng-trk
* source\_languages: eng
* target\_languages: trk
* opus\_readme\_url: URL
* original\_repo: Tatoeba-Challenge
* tags: ['translation']
* languages: ['en', 'tt', 'cv', 'tk', 'tr', 'ba', 'trk']
* src\_constituents: {'eng'}
* tgt\_constituents: {'kir\_Cyrl', 'tat\_Latn', 'tat', 'chv', 'uzb\_Cyrl', 'kaz\_Latn', 'aze\_Latn', 'crh', 'kjh', 'uzb\_Latn', 'ota\_Arab', 'tuk\_Latn', 'tuk', 'tat\_Arab', 'sah', 'tyv', 'tur', 'uig\_Arab', 'crh\_Latn', 'kaz\_Cyrl', 'uig\_Cyrl', 'kum', 'ota\_Latn', 'bak'}
* src\_multilingual: False
* tgt\_multilingual: True
* prepro: normalization + SentencePiece (spm32k,spm32k)
* url\_model: URL
* url\_test\_set: URL
* src\_alpha3: eng
* tgt\_alpha3: trk
* short\_pair: en-trk
* chrF2\_score: 0.455
* bleu: 19.9
* brevity\_penalty: 1.0
* ref\_len: 57072.0
* src\_name: English
* tgt\_name: Turkic languages
* train\_date: 2020-08-01
* src\_alpha2: en
* tgt\_alpha2: trk
* prefer\_old: False
* long\_pair: eng-trk
* 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 #en #tt #cv #tk #tr #ba #trk #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us 
 ### eng-trk


* source group: English
* target group: Turkic languages
* OPUS readme: eng-trk
* model: transformer
* source language(s): eng
* target language(s): aze\_Latn bak chv crh crh\_Latn kaz\_Cyrl kaz\_Latn kir\_Cyrl kjh kum ota\_Arab ota\_Latn sah tat tat\_Arab tat\_Latn tuk tuk\_Latn tur tyv uig\_Arab uig\_Cyrl uzb\_Cyrl uzb\_Latn
* model: transformer
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* a sentence initial language token is required in the form of '>>id<<' (id = valid target language ID)
* download original weights: URL
* test set translations: URL
* test set scores: URL


Benchmarks
----------


testset: URL, BLEU: 10.1, chr-F: 0.437
testset: URL, BLEU: 9.2, chr-F: 0.410
testset: URL, BLEU: 9.0, chr-F: 0.410
testset: URL, BLEU: 9.2, chr-F: 0.413
testset: URL, BLEU: 26.8, chr-F: 0.577
testset: URL, BLEU: 7.6, chr-F: 0.308
testset: URL, BLEU: 4.3, chr-F: 0.270
testset: URL, BLEU: 8.1, chr-F: 0.330
testset: URL, BLEU: 11.1, chr-F: 0.359
testset: URL, BLEU: 28.6, chr-F: 0.524
testset: URL, BLEU: 1.0, chr-F: 0.041
testset: URL, BLEU: 2.2, chr-F: 0.075
testset: URL, BLEU: 19.9, chr-F: 0.455
testset: URL, BLEU: 0.5, chr-F: 0.065
testset: URL, BLEU: 0.7, chr-F: 0.030
testset: URL, BLEU: 9.7, chr-F: 0.316
testset: URL, BLEU: 5.9, chr-F: 0.317
testset: URL, BLEU: 34.6, chr-F: 0.623
testset: URL, BLEU: 5.4, chr-F: 0.210
testset: URL, BLEU: 0.1, chr-F: 0.155
testset: URL, BLEU: 3.4, chr-F: 0.275 ### System Info:


* hf\_name: eng-trk
* source\_languages: eng
* target\_languages: trk
* opus\_readme\_url: URL
* original\_repo: Tatoeba-Challenge
* tags: ['translation']
* languages: ['en', 'tt', 'cv', 'tk', 'tr', 'ba', 'trk']
* src\_constituents: {'eng'}
* tgt\_constituents: {'kir\_Cyrl', 'tat\_Latn', 'tat', 'chv', 'uzb\_Cyrl', 'kaz\_Latn', 'aze\_Latn', 'crh', 'kjh', 'uzb\_Latn', 'ota\_Arab', 'tuk\_Latn', 'tuk', 'tat\_Arab', 'sah', 'tyv', 'tur', 'uig\_Arab', 'crh\_Latn', 'kaz\_Cyrl', 'uig\_Cyrl', 'kum', 'ota\_Latn', 'bak'}
* src\_multilingual: False
* tgt\_multilingual: True
* prepro: normalization + SentencePiece (spm32k,spm32k)
* url\_model: URL
* url\_test\_set: URL
* src\_alpha3: eng
* tgt\_alpha3: trk
* short\_pair: en-trk
* chrF2\_score: 0.455
* bleu: 19.9
* brevity\_penalty: 1.0
* ref\_len: 57072.0
* src\_name: English
* tgt\_name: Turkic languages
* train\_date: 2020-08-01
* src\_alpha2: en
* tgt\_alpha2: trk
* prefer\_old: False
* long\_pair: eng-trk
* helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
* transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
* port\_machine: brutasse
* port\_time: 2020-08-21-14:41
passage: TAGS
#transformers #pytorch #tf #marian #text2text-generation #translation #en #tt #cv #tk #tr #ba #trk #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us 
 passage: ### eng-trk


* source group: English
* target group: Turkic languages
* OPUS readme: eng-trk
* model: transformer
* source language(s): eng
* target language(s): aze\_Latn bak chv crh crh\_Latn kaz\_Cyrl kaz\_Latn kir\_Cyrl kjh kum ota\_Arab ota\_Latn sah tat tat\_Arab tat\_Latn tuk tuk\_Latn tur tyv uig\_Arab uig\_Cyrl uzb\_Cyrl uzb\_Latn
* model: transformer
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* a sentence initial language token is required in the form of '>>id<<' (id = valid target language ID)
* download original weights: URL
* test set translations: URL
* test set scores: URL


Benchmarks
----------


testset: URL, BLEU: 10.1, chr-F: 0.437
testset: URL, BLEU: 9.2, chr-F: 0.410
testset: URL, BLEU: 9.0, chr-F: 0.410
testset: URL, BLEU: 9.2, chr-F: 0.413
testset: URL, BLEU: 26.8, chr-F: 0.577
testset: URL, BLEU: 7.6, chr-F: 0.308
testset: URL, BLEU: 4.3, chr-F: 0.270
testset: URL, BLEU: 8.1, chr-F: 0.330
testset: URL, BLEU: 11.1, chr-F: 0.359
testset: URL, BLEU: 28.6, chr-F: 0.524
testset: URL, BLEU: 1.0, chr-F: 0.041
testset: URL, BLEU: 2.2, chr-F: 0.075
testset: URL, BLEU: 19.9, chr-F: 0.455
testset: URL, BLEU: 0.5, chr-F: 0.065
testset: URL, BLEU: 0.7, chr-F: 0.030
testset: URL, BLEU: 9.7, chr-F: 0.316
testset: URL, BLEU: 5.9, chr-F: 0.317
testset: URL, BLEU: 34.6, chr-F: 0.623
testset: URL, BLEU: 5.4, chr-F: 0.210
testset: URL, BLEU: 0.1, chr-F: 0.155
testset: URL, BLEU: 3.4, chr-F: 0.275