
### trk-eng

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

*  model: transformer
* source 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
* target language(s): eng
* model: transformer
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* download original weights: [opus2m-2020-08-01.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/trk-eng/opus2m-2020-08-01.zip)
* test set translations: [opus2m-2020-08-01.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/trk-eng/opus2m-2020-08-01.test.txt)
* test set scores: [opus2m-2020-08-01.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/trk-eng/opus2m-2020-08-01.eval.txt)

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| newsdev2016-entr-tureng.tur.eng 	| 5.0 	| 0.242 |
| newstest2016-entr-tureng.tur.eng 	| 3.7 	| 0.231 |
| newstest2017-entr-tureng.tur.eng 	| 3.7 	| 0.229 |
| newstest2018-entr-tureng.tur.eng 	| 4.1 	| 0.230 |
| Tatoeba-test.aze-eng.aze.eng 	| 15.1 	| 0.330 |
| Tatoeba-test.bak-eng.bak.eng 	| 3.3 	| 0.185 |
| Tatoeba-test.chv-eng.chv.eng 	| 1.3 	| 0.161 |
| Tatoeba-test.crh-eng.crh.eng 	| 10.8 	| 0.325 |
| Tatoeba-test.kaz-eng.kaz.eng 	| 9.6 	| 0.264 |
| Tatoeba-test.kir-eng.kir.eng 	| 15.3 	| 0.328 |
| Tatoeba-test.kjh-eng.kjh.eng 	| 1.8 	| 0.121 |
| Tatoeba-test.kum-eng.kum.eng 	| 16.1 	| 0.277 |
| Tatoeba-test.multi.eng 	| 12.0 	| 0.304 |
| Tatoeba-test.ota-eng.ota.eng 	| 2.0 	| 0.149 |
| Tatoeba-test.sah-eng.sah.eng 	| 0.7 	| 0.140 |
| Tatoeba-test.tat-eng.tat.eng 	| 4.0 	| 0.215 |
| Tatoeba-test.tuk-eng.tuk.eng 	| 5.5 	| 0.243 |
| Tatoeba-test.tur-eng.tur.eng 	| 26.8 	| 0.443 |
| Tatoeba-test.tyv-eng.tyv.eng 	| 1.3 	| 0.111 |
| Tatoeba-test.uig-eng.uig.eng 	| 0.2 	| 0.111 |
| Tatoeba-test.uzb-eng.uzb.eng 	| 4.6 	| 0.195 |


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

- source_languages: trk

- target_languages: eng

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

- original_repo: Tatoeba-Challenge

- tags: ['translation']

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

- src_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'}

- tgt_constituents: {'eng'}

- src_multilingual: True

- tgt_multilingual: False

- prepro:  normalization + SentencePiece (spm32k,spm32k)

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

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

- src_alpha3: trk

- tgt_alpha3: eng

- short_pair: trk-en

- chrF2_score: 0.304

- bleu: 12.0

- brevity_penalty: 1.0

- ref_len: 18733.0

- src_name: Turkic languages

- tgt_name: English

- train_date: 2020-08-01

- src_alpha2: trk

- tgt_alpha2: en

- prefer_old: False

- long_pair: trk-eng

- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535

- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b

- port_machine: brutasse

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

### trk-eng


* source group: Turkic languages
* target group: English
* OPUS readme: trk-eng
* model: transformer
* source 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
* target language(s): eng
* model: transformer
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* download original weights: URL
* test set translations: URL
* test set scores: URL


Benchmarks
----------


testset: URL, BLEU: 5.0, chr-F: 0.242
testset: URL, BLEU: 3.7, chr-F: 0.231
testset: URL, BLEU: 3.7, chr-F: 0.229
testset: URL, BLEU: 4.1, chr-F: 0.230
testset: URL, BLEU: 15.1, chr-F: 0.330
testset: URL, BLEU: 3.3, chr-F: 0.185
testset: URL, BLEU: 1.3, chr-F: 0.161
testset: URL, BLEU: 10.8, chr-F: 0.325
testset: URL, BLEU: 9.6, chr-F: 0.264
testset: URL, BLEU: 15.3, chr-F: 0.328
testset: URL, BLEU: 1.8, chr-F: 0.121
testset: URL, BLEU: 16.1, chr-F: 0.277
testset: URL, BLEU: 12.0, chr-F: 0.304
testset: URL, BLEU: 2.0, chr-F: 0.149
testset: URL, BLEU: 0.7, chr-F: 0.140
testset: URL, BLEU: 4.0, chr-F: 0.215
testset: URL, BLEU: 5.5, chr-F: 0.243
testset: URL, BLEU: 26.8, chr-F: 0.443
testset: URL, BLEU: 1.3, chr-F: 0.111
testset: URL, BLEU: 0.2, chr-F: 0.111
testset: URL, BLEU: 4.6, chr-F: 0.195


### System Info:


* hf\_name: trk-eng
* source\_languages: trk
* target\_languages: eng
* opus\_readme\_url: URL
* original\_repo: Tatoeba-Challenge
* tags: ['translation']
* languages: ['tt', 'cv', 'tk', 'tr', 'ba', 'trk', 'en']
* src\_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'}
* tgt\_constituents: {'eng'}
* src\_multilingual: True
* tgt\_multilingual: False
* prepro: normalization + SentencePiece (spm32k,spm32k)
* url\_model: URL
* url\_test\_set: URL
* src\_alpha3: trk
* tgt\_alpha3: eng
* short\_pair: trk-en
* chrF2\_score: 0.304
* bleu: 12.0
* brevity\_penalty: 1.0
* ref\_len: 18733.0
* src\_name: Turkic languages
* tgt\_name: English
* train\_date: 2020-08-01
* src\_alpha2: trk
* tgt\_alpha2: en
* prefer\_old: False
* long\_pair: trk-eng
* helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
* transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
* port\_machine: brutasse
* port\_time: 2020-08-21-14:41



### trk-eng


* source group: Turkic languages
* target group: English
* OPUS readme: trk-eng
* model: transformer
* source 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
* target language(s): eng
* model: transformer
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* download original weights: URL
* test set translations: URL
* test set scores: URL


Benchmarks
----------


testset: URL, BLEU: 5.0, chr-F: 0.242
testset: URL, BLEU: 3.7, chr-F: 0.231
testset: URL, BLEU: 3.7, chr-F: 0.229
testset: URL, BLEU: 4.1, chr-F: 0.230
testset: URL, BLEU: 15.1, chr-F: 0.330
testset: URL, BLEU: 3.3, chr-F: 0.185
testset: URL, BLEU: 1.3, chr-F: 0.161
testset: URL, BLEU: 10.8, chr-F: 0.325
testset: URL, BLEU: 9.6, chr-F: 0.264
testset: URL, BLEU: 15.3, chr-F: 0.328
testset: URL, BLEU: 1.8, chr-F: 0.121
testset: URL, BLEU: 16.1, chr-F: 0.277
testset: URL, BLEU: 12.0, chr-F: 0.304
testset: URL, BLEU: 2.0, chr-F: 0.149
testset: URL, BLEU: 0.7, chr-F: 0.140
testset: URL, BLEU: 4.0, chr-F: 0.215
testset: URL, BLEU: 5.5, chr-F: 0.243
testset: URL, BLEU: 26.8, chr-F: 0.443
testset: URL, BLEU: 1.3, chr-F: 0.111
testset: URL, BLEU: 0.2, chr-F: 0.111
testset: URL, BLEU: 4.6, chr-F: 0.195 ### System Info:


* hf\_name: trk-eng
* source\_languages: trk
* target\_languages: eng
* opus\_readme\_url: URL
* original\_repo: Tatoeba-Challenge
* tags: ['translation']
* languages: ['tt', 'cv', 'tk', 'tr', 'ba', 'trk', 'en']
* src\_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'}
* tgt\_constituents: {'eng'}
* src\_multilingual: True
* tgt\_multilingual: False
* prepro: normalization + SentencePiece (spm32k,spm32k)
* url\_model: URL
* url\_test\_set: URL
* src\_alpha3: trk
* tgt\_alpha3: eng
* short\_pair: trk-en
* chrF2\_score: 0.304
* bleu: 12.0
* brevity\_penalty: 1.0
* ref\_len: 18733.0
* src\_name: Turkic languages
* tgt\_name: English
* train\_date: 2020-08-01
* src\_alpha2: trk
* tgt\_alpha2: en
* prefer\_old: False
* long\_pair: trk-eng
* 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 #tt #cv #tk #tr #ba #trk #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us 
 ### trk-eng


* source group: Turkic languages
* target group: English
* OPUS readme: trk-eng
* model: transformer
* source 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
* target language(s): eng
* model: transformer
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* download original weights: URL
* test set translations: URL
* test set scores: URL


Benchmarks
----------


testset: URL, BLEU: 5.0, chr-F: 0.242
testset: URL, BLEU: 3.7, chr-F: 0.231
testset: URL, BLEU: 3.7, chr-F: 0.229
testset: URL, BLEU: 4.1, chr-F: 0.230
testset: URL, BLEU: 15.1, chr-F: 0.330
testset: URL, BLEU: 3.3, chr-F: 0.185
testset: URL, BLEU: 1.3, chr-F: 0.161
testset: URL, BLEU: 10.8, chr-F: 0.325
testset: URL, BLEU: 9.6, chr-F: 0.264
testset: URL, BLEU: 15.3, chr-F: 0.328
testset: URL, BLEU: 1.8, chr-F: 0.121
testset: URL, BLEU: 16.1, chr-F: 0.277
testset: URL, BLEU: 12.0, chr-F: 0.304
testset: URL, BLEU: 2.0, chr-F: 0.149
testset: URL, BLEU: 0.7, chr-F: 0.140
testset: URL, BLEU: 4.0, chr-F: 0.215
testset: URL, BLEU: 5.5, chr-F: 0.243
testset: URL, BLEU: 26.8, chr-F: 0.443
testset: URL, BLEU: 1.3, chr-F: 0.111
testset: URL, BLEU: 0.2, chr-F: 0.111
testset: URL, BLEU: 4.6, chr-F: 0.195 ### System Info:


* hf\_name: trk-eng
* source\_languages: trk
* target\_languages: eng
* opus\_readme\_url: URL
* original\_repo: Tatoeba-Challenge
* tags: ['translation']
* languages: ['tt', 'cv', 'tk', 'tr', 'ba', 'trk', 'en']
* src\_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'}
* tgt\_constituents: {'eng'}
* src\_multilingual: True
* tgt\_multilingual: False
* prepro: normalization + SentencePiece (spm32k,spm32k)
* url\_model: URL
* url\_test\_set: URL
* src\_alpha3: trk
* tgt\_alpha3: eng
* short\_pair: trk-en
* chrF2\_score: 0.304
* bleu: 12.0
* brevity\_penalty: 1.0
* ref\_len: 18733.0
* src\_name: Turkic languages
* tgt\_name: English
* train\_date: 2020-08-01
* src\_alpha2: trk
* tgt\_alpha2: en
* prefer\_old: False
* long\_pair: trk-eng
* 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 #tt #cv #tk #tr #ba #trk #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us 
 passage: ### trk-eng


* source group: Turkic languages
* target group: English
* OPUS readme: trk-eng
* model: transformer
* source 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
* target language(s): eng
* model: transformer
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* download original weights: URL
* test set translations: URL
* test set scores: URL


Benchmarks
----------


testset: URL, BLEU: 5.0, chr-F: 0.242
testset: URL, BLEU: 3.7, chr-F: 0.231
testset: URL, BLEU: 3.7, chr-F: 0.229
testset: URL, BLEU: 4.1, chr-F: 0.230
testset: URL, BLEU: 15.1, chr-F: 0.330
testset: URL, BLEU: 3.3, chr-F: 0.185
testset: URL, BLEU: 1.3, chr-F: 0.161
testset: URL, BLEU: 10.8, chr-F: 0.325
testset: URL, BLEU: 9.6, chr-F: 0.264
testset: URL, BLEU: 15.3, chr-F: 0.328
testset: URL, BLEU: 1.8, chr-F: 0.121
testset: URL, BLEU: 16.1, chr-F: 0.277
testset: URL, BLEU: 12.0, chr-F: 0.304
testset: URL, BLEU: 2.0, chr-F: 0.149
testset: URL, BLEU: 0.7, chr-F: 0.140
testset: URL, BLEU: 4.0, chr-F: 0.215
testset: URL, BLEU: 5.5, chr-F: 0.243
testset: URL, BLEU: 26.8, chr-F: 0.443
testset: URL, BLEU: 1.3, chr-F: 0.111
testset: URL, BLEU: 0.2, chr-F: 0.111
testset: URL, BLEU: 4.6, chr-F: 0.195