---
language:
- ar
- eo

tags:
- translation

license: apache-2.0
---

### ara-epo

* source group: Arabic
* target group: Esperanto
*  OPUS readme: [ara-epo](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/ara-epo/README.md)

*  model: transformer-align
* source language(s): apc apc_Latn ara arq arq_Latn arz
* target language(s): epo
* model: transformer-align
* pre-processing: normalization + SentencePiece (spm4k,spm4k)
* download original weights: [opus-2020-06-16.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/ara-epo/opus-2020-06-16.zip)
* test set translations: [opus-2020-06-16.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/ara-epo/opus-2020-06-16.test.txt)
* test set scores: [opus-2020-06-16.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/ara-epo/opus-2020-06-16.eval.txt)

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.ara.epo 	| 18.9 	| 0.376 |

### System Info:
- hf_name: ara-epo

- source_languages: ara

- target_languages: epo

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

- original_repo: Tatoeba-Challenge

- tags: ['translation']

- languages: ['ar', 'eo']

- src_constituents: {'apc', 'ara', 'arq_Latn', 'arq', 'afb', 'ara_Latn', 'apc_Latn', 'arz'}

- tgt_constituents: {'epo'}

- src_multilingual: False

- tgt_multilingual: False

- prepro:  normalization + SentencePiece (spm4k,spm4k)

- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/ara-epo/opus-2020-06-16.zip

- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/ara-epo/opus-2020-06-16.test.txt

- src_alpha3: ara

- tgt_alpha3: epo

- short_pair: ar-eo

- chrF2_score: 0.376

- bleu: 18.9

- brevity_penalty: 0.948

- ref_len: 4506.0

- src_name: Arabic

- tgt_name: Esperanto

- train_date: 2020-06-16

- src_alpha2: ar

- tgt_alpha2: eo

- prefer_old: False

- long_pair: ara-epo

- 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

tags:
- translation

license: apache-2.0
---

### 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


---
tags:
- translation
license: apache-2.0
---

### opus-mt-mt-en

* source languages: mt
* target languages: en
*  OPUS readme: [mt-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/mt-en/README.md)

*  dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/mt-en/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/mt-en/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/mt-en/opus-2020-01-16.eval.txt)

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.mt.en 	| 49.0 	| 0.655 |
| Tatoeba.mt.en 	| 53.3 	| 0.685 |


---
tags:
- translation
license: apache-2.0
---

### opus-mt-es-niu

* source languages: es
* target languages: niu
*  OPUS readme: [es-niu](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/es-niu/README.md)

*  dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/es-niu/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-niu/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-niu/opus-2020-01-16.eval.txt)

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.es.niu 	| 29.9 	| 0.506 |


---
tags:
- translation
license: apache-2.0
---

### opus-mt-fr-gil

* source languages: fr
* target languages: gil
*  OPUS readme: [fr-gil](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-gil/README.md)

*  dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-09.zip](https://object.pouta.csc.fi/OPUS-MT-models/fr-gil/opus-2020-01-09.zip)
* test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-gil/opus-2020-01-09.test.txt)
* test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-gil/opus-2020-01-09.eval.txt)

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.fr.gil 	| 27.9 	| 0.499 |


---
language:
- he
- ar

tags:
- translation

license: apache-2.0
---

### heb-ara

* source group: Hebrew
* target group: Arabic
*  OPUS readme: [heb-ara](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/heb-ara/README.md)

*  model: transformer
* source language(s): heb
* target language(s): apc apc_Latn ara arq arz
* 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: [opus-2020-07-03.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/heb-ara/opus-2020-07-03.zip)
* test set translations: [opus-2020-07-03.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/heb-ara/opus-2020-07-03.test.txt)
* test set scores: [opus-2020-07-03.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/heb-ara/opus-2020-07-03.eval.txt)

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.heb.ara 	| 23.6 	| 0.532 |

### System Info:
- hf_name: heb-ara

- source_languages: heb

- target_languages: ara

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

- original_repo: Tatoeba-Challenge

- tags: ['translation']

- languages: ['he', 'ar']

- src_constituents: {'heb'}

- tgt_constituents: {'apc', 'ara', 'arq_Latn', 'arq', 'afb', 'ara_Latn', 'apc_Latn', 'arz'}

- src_multilingual: False

- tgt_multilingual: False

- prepro:  normalization + SentencePiece (spm32k,spm32k)

- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/heb-ara/opus-2020-07-03.zip

- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/heb-ara/opus-2020-07-03.test.txt

- src_alpha3: heb

- tgt_alpha3: ara

- short_pair: he-ar

- chrF2_score: 0.532

- bleu: 23.6

- brevity_penalty: 0.9259999999999999

- ref_len: 6372.0

- src_name: Hebrew

- tgt_name: Arabic

- train_date: 2020-07-03

- src_alpha2: he

- tgt_alpha2: ar

- prefer_old: False

- long_pair: heb-ara

- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535

- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b

- port_machine: brutasse

- port_time: 2020-08-21-14:41


---
tags:
- translation
license: apache-2.0
---

### opus-mt-ase-fr

* source languages: ase
* target languages: fr
*  OPUS readme: [ase-fr](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/ase-fr/README.md)

*  dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-20.zip](https://object.pouta.csc.fi/OPUS-MT-models/ase-fr/opus-2020-01-20.zip)
* test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/ase-fr/opus-2020-01-20.test.txt)
* test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/ase-fr/opus-2020-01-20.eval.txt)

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.ase.fr 	| 37.8 	| 0.553 |


---
language:
- vi
- fr

tags:
- translation

license: apache-2.0
---

### vie-fra

* source group: Vietnamese
* target group: French
*  OPUS readme: [vie-fra](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/vie-fra/README.md)

*  model: transformer-align
* source language(s): vie
* target language(s): fra
* 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/vie-fra/opus-2020-06-17.zip)
* test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/vie-fra/opus-2020-06-17.test.txt)
* test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/vie-fra/opus-2020-06-17.eval.txt)

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.vie.fra 	| 34.2 	| 0.544 |

### System Info:
- hf_name: vie-fra

- source_languages: vie

- target_languages: fra

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

- original_repo: Tatoeba-Challenge

- tags: ['translation']

- languages: ['vi', 'fr']

- src_constituents: {'vie', 'vie_Hani'}

- tgt_constituents: {'fra'}

- src_multilingual: False

- tgt_multilingual: False

- prepro:  normalization + SentencePiece (spm32k,spm32k)

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

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

- src_alpha3: vie

- tgt_alpha3: fra

- short_pair: vi-fr

- chrF2_score: 0.544

- bleu: 34.2

- brevity_penalty: 0.955

- ref_len: 11519.0

- src_name: Vietnamese

- tgt_name: French

- train_date: 2020-06-17

- src_alpha2: vi

- tgt_alpha2: fr

- prefer_old: False

- long_pair: vie-fra

- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535

- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b

- port_machine: brutasse

- port_time: 2020-08-21-14:41


---
language:
- it
- bg

tags:
- translation

license: apache-2.0
---

### ita-bul

* source group: Italian
* target group: Bulgarian
*  OPUS readme: [ita-bul](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/ita-bul/README.md)

*  model: transformer
* source language(s): ita
* target language(s): bul
* model: transformer
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* download original weights: [opus-2020-07-03.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/ita-bul/opus-2020-07-03.zip)
* test set translations: [opus-2020-07-03.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/ita-bul/opus-2020-07-03.test.txt)
* test set scores: [opus-2020-07-03.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/ita-bul/opus-2020-07-03.eval.txt)

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.ita.bul 	| 47.9 	| 0.664 |

### System Info:
- hf_name: ita-bul

- source_languages: ita

- target_languages: bul

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

- original_repo: Tatoeba-Challenge

- tags: ['translation']

- languages: ['it', 'bg']

- src_constituents: {'ita'}

- tgt_constituents: {'bul', 'bul_Latn'}

- src_multilingual: False

- tgt_multilingual: False

- prepro:  normalization + SentencePiece (spm32k,spm32k)

- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/ita-bul/opus-2020-07-03.zip

- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/ita-bul/opus-2020-07-03.test.txt

- src_alpha3: ita

- tgt_alpha3: bul

- short_pair: it-bg

- chrF2_score: 0.664

- bleu: 47.9

- brevity_penalty: 0.961

- ref_len: 16512.0

- src_name: Italian

- tgt_name: Bulgarian

- train_date: 2020-07-03

- src_alpha2: it

- tgt_alpha2: bg

- prefer_old: False

- long_pair: ita-bul

- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535

- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b

- port_machine: brutasse

- port_time: 2020-08-21-14:41


---
tags:
- translation
license: apache-2.0
---

### opus-mt-rw-fr

* source languages: rw
* target languages: fr
*  OPUS readme: [rw-fr](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/rw-fr/README.md)

*  dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/rw-fr/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/rw-fr/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/rw-fr/opus-2020-01-16.eval.txt)

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.rw.fr 	| 26.7 	| 0.443 |


---
tags:
- translation
license: apache-2.0
---

### opus-mt-fi-to

* source languages: fi
* target languages: to
*  OPUS readme: [fi-to](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fi-to/README.md)

*  dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-24.zip](https://object.pouta.csc.fi/OPUS-MT-models/fi-to/opus-2020-01-24.zip)
* test set translations: [opus-2020-01-24.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-to/opus-2020-01-24.test.txt)
* test set scores: [opus-2020-01-24.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-to/opus-2020-01-24.eval.txt)

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.fi.to 	| 38.3 	| 0.541 |


---
tags:
- translation
license: apache-2.0
---

### opus-mt-fr-yap

* source languages: fr
* target languages: yap
*  OPUS readme: [fr-yap](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-yap/README.md)

*  dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/fr-yap/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-yap/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-yap/opus-2020-01-16.eval.txt)

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.fr.yap 	| 25.8 	| 0.434 |


---
tags:
- translation
license: apache-2.0
---

### opus-mt-fr-de

* source languages: fr
* target languages: de
*  OPUS readme: [fr-de](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-de/README.md)

*  dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-09.zip](https://object.pouta.csc.fi/OPUS-MT-models/fr-de/opus-2020-01-09.zip)
* test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-de/opus-2020-01-09.test.txt)
* test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-de/opus-2020-01-09.eval.txt)

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| euelections_dev2019.transformer-align.fr 	| 26.4 	| 0.571 |
| newssyscomb2009.fr.de 	| 22.1 	| 0.524 |
| news-test2008.fr.de 	| 22.1 	| 0.524 |
| newstest2009.fr.de 	| 21.6 	| 0.520 |
| newstest2010.fr.de 	| 22.6 	| 0.527 |
| newstest2011.fr.de 	| 21.5 	| 0.518 |
| newstest2012.fr.de 	| 22.4 	| 0.516 |
| newstest2013.fr.de 	| 24.2 	| 0.532 |
| newstest2019-frde.fr.de 	| 27.9 	| 0.595 |
| Tatoeba.fr.de 	| 49.1 	| 0.676 |


---
tags:
- translation
license: apache-2.0
---

### opus-mt-de-pon

* source languages: de
* target languages: pon
*  OPUS readme: [de-pon](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/de-pon/README.md)

*  dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-20.zip](https://object.pouta.csc.fi/OPUS-MT-models/de-pon/opus-2020-01-20.zip)
* test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-pon/opus-2020-01-20.test.txt)
* test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-pon/opus-2020-01-20.eval.txt)

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.de.pon 	| 21.0 	| 0.442 |


---
tags:
- translation
license: apache-2.0
---

### opus-mt-bem-fi

* source languages: bem
* target languages: fi
*  OPUS readme: [bem-fi](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/bem-fi/README.md)

*  dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-08.zip](https://object.pouta.csc.fi/OPUS-MT-models/bem-fi/opus-2020-01-08.zip)
* test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/bem-fi/opus-2020-01-08.test.txt)
* test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/bem-fi/opus-2020-01-08.eval.txt)

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.bem.fi 	| 22.8 	| 0.439 |


---
language:
- af
- ru

tags:
- translation

license: apache-2.0
---
### af-ru

* source group: Afrikaans
* target group: Russian
*  OPUS readme: [afr-rus](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/afr-rus/README.md)

*  model: transformer-align
* source language(s): afr
* target language(s): rus
* model: transformer-align
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* download original weights: [opus-2020-09-10.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/afr-rus/opus-2020-09-10.zip)
* test set translations: [opus-2020-09-10.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/afr-rus/opus-2020-09-10.test.txt)
* test set scores: [opus-2020-09-10.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/afr-rus/opus-2020-09-10.eval.txt)

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.afr.rus 	| 38.2 	| 0.580 |

### System Info:
- hf_name: af-ru

- source_languages: afr

- target_languages: rus

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

- original_repo: Tatoeba-Challenge

- tags: ['translation']

- languages: ['af', 'ru']

- src_constituents: ('Afrikaans', {'afr'})

- tgt_constituents: ('Russian', {'rus'})

- src_multilingual: False

- tgt_multilingual: False

- long_pair: afr-rus

- prepro:  normalization + SentencePiece (spm32k,spm32k)

- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/afr-rus/opus-2020-09-10.zip

- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/afr-rus/opus-2020-09-10.test.txt

- src_alpha3: afr

- tgt_alpha3: rus

- chrF2_score: 0.58

- bleu: 38.2

- brevity_penalty: 0.992

- ref_len: 1213

- src_name: Afrikaans

- tgt_name: Russian

- train_date: 2020-01-01 00:00:00

- src_alpha2: af

- tgt_alpha2: ru

- prefer_old: False

- short_pair: af-ru

- helsinki_git_sha: e8c308a96c1bd0b4ca6a8ce174783f93c3e30f25

- transformers_git_sha: 31245775e5772fbded1ac07ed89fbba3b5af0cb9

- port_machine: LM0-400-22516.local

- port_time: 2021-02-12-14:52


---
tags:
- translation
license: apache-2.0
---

### opus-mt-uk-es

* source languages: uk
* target languages: es
*  OPUS readme: [uk-es](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/uk-es/README.md)

*  dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/uk-es/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/uk-es/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/uk-es/opus-2020-01-16.eval.txt)

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba.uk.es 	| 50.4 	| 0.680 |


---
language:
- tl
- de

tags:
- translation

license: apache-2.0
---

### tgl-deu

* source group: Tagalog
* target group: German
*  OPUS readme: [tgl-deu](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/tgl-deu/README.md)

*  model: transformer-align
* source language(s): tgl_Latn
* target language(s): deu
* 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/tgl-deu/opus-2020-06-17.zip)
* test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/tgl-deu/opus-2020-06-17.test.txt)
* test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/tgl-deu/opus-2020-06-17.eval.txt)

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.tgl.deu 	| 22.7 	| 0.473 |

### System Info:
- hf_name: tgl-deu

- source_languages: tgl

- target_languages: deu

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

- original_repo: Tatoeba-Challenge

- tags: ['translation']

- languages: ['tl', 'de']

- src_constituents: {'tgl_Latn'}

- tgt_constituents: {'deu'}

- src_multilingual: False

- tgt_multilingual: False

- prepro:  normalization + SentencePiece (spm32k,spm32k)

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

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

- src_alpha3: tgl

- tgt_alpha3: deu

- short_pair: tl-de

- chrF2_score: 0.473

- bleu: 22.7

- brevity_penalty: 0.9690000000000001

- ref_len: 2453.0

- src_name: Tagalog

- tgt_name: German

- train_date: 2020-06-17

- src_alpha2: tl

- tgt_alpha2: de

- prefer_old: False

- long_pair: tgl-deu

- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535

- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b

- port_machine: brutasse

- port_time: 2020-08-21-14:41


---
language:
- ka
- ru

tags:
- translation

license: apache-2.0
---

### kat-rus

* source group: Georgian
* target group: Russian
*  OPUS readme: [kat-rus](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/kat-rus/README.md)

*  model: transformer-align
* source language(s): kat
* target language(s): rus
* model: transformer-align
* pre-processing: normalization + SentencePiece (spm12k,spm12k)
* download original weights: [opus-2020-06-16.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/kat-rus/opus-2020-06-16.zip)
* test set translations: [opus-2020-06-16.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/kat-rus/opus-2020-06-16.test.txt)
* test set scores: [opus-2020-06-16.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/kat-rus/opus-2020-06-16.eval.txt)

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.kat.rus 	| 38.2 	| 0.604 |

### System Info:
- hf_name: kat-rus

- source_languages: kat

- target_languages: rus

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

- original_repo: Tatoeba-Challenge

- tags: ['translation']

- languages: ['ka', 'ru']

- src_constituents: {'kat'}

- tgt_constituents: {'rus'}

- src_multilingual: False

- tgt_multilingual: False

- prepro:  normalization + SentencePiece (spm12k,spm12k)

- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/kat-rus/opus-2020-06-16.zip

- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/kat-rus/opus-2020-06-16.test.txt

- src_alpha3: kat

- tgt_alpha3: rus

- short_pair: ka-ru

- chrF2_score: 0.604

- bleu: 38.2

- brevity_penalty: 0.996

- ref_len: 3899.0

- src_name: Georgian

- tgt_name: Russian

- train_date: 2020-06-16

- src_alpha2: ka

- tgt_alpha2: ru

- prefer_old: False

- long_pair: kat-rus

- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535

- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b

- port_machine: brutasse

- port_time: 2020-08-21-14:41


---
tags:
- translation
license: apache-2.0
---

### opus-mt-efi-fi

* source languages: efi
* target languages: fi
*  OPUS readme: [efi-fi](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/efi-fi/README.md)

*  dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-08.zip](https://object.pouta.csc.fi/OPUS-MT-models/efi-fi/opus-2020-01-08.zip)
* test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/efi-fi/opus-2020-01-08.test.txt)
* test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/efi-fi/opus-2020-01-08.eval.txt)

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.efi.fi 	| 23.6 	| 0.450 |


---
tags:
- translation
license: apache-2.0
---

### opus-mt-lv-sv

* source languages: lv
* target languages: sv
*  OPUS readme: [lv-sv](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/lv-sv/README.md)

*  dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-09.zip](https://object.pouta.csc.fi/OPUS-MT-models/lv-sv/opus-2020-01-09.zip)
* test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/lv-sv/opus-2020-01-09.test.txt)
* test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/lv-sv/opus-2020-01-09.eval.txt)

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.lv.sv 	| 22.0 	| 0.444 |


---
tags:
- translation
license: apache-2.0
---

### opus-mt-sv-bcl

* source languages: sv
* target languages: bcl
*  OPUS readme: [sv-bcl](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/sv-bcl/README.md)

*  dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/sv-bcl/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-bcl/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-bcl/opus-2020-01-16.eval.txt)

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.sv.bcl 	| 39.5 	| 0.607 |


---
tags:
- translation
license: apache-2.0
---

### opus-mt-fr-ts

* source languages: fr
* target languages: ts
*  OPUS readme: [fr-ts](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-ts/README.md)

*  dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/fr-ts/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-ts/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-ts/opus-2020-01-16.eval.txt)

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.fr.ts 	| 31.4 	| 0.525 |


---
tags:
- translation
license: apache-2.0
---

### opus-mt-hu-fr

* source languages: hu
* target languages: fr
*  OPUS readme: [hu-fr](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/hu-fr/README.md)

*  dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-09.zip](https://object.pouta.csc.fi/OPUS-MT-models/hu-fr/opus-2020-01-09.zip)
* test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/hu-fr/opus-2020-01-09.test.txt)
* test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/hu-fr/opus-2020-01-09.eval.txt)

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba.hu.fr 	| 50.3 	| 0.660 |


---
language:
- nl
- eo

tags:
- translation

license: apache-2.0
---

### nld-epo

* source group: Dutch
* target group: Esperanto
*  OPUS readme: [nld-epo](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/nld-epo/README.md)

*  model: transformer-align
* source language(s): nld
* target language(s): epo
* model: transformer-align
* pre-processing: normalization + SentencePiece (spm4k,spm4k)
* download original weights: [opus-2020-06-16.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/nld-epo/opus-2020-06-16.zip)
* test set translations: [opus-2020-06-16.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/nld-epo/opus-2020-06-16.test.txt)
* test set scores: [opus-2020-06-16.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/nld-epo/opus-2020-06-16.eval.txt)

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.nld.epo 	| 16.1 	| 0.355 |

### System Info:
- hf_name: nld-epo

- source_languages: nld

- target_languages: epo

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

- original_repo: Tatoeba-Challenge

- tags: ['translation']

- languages: ['nl', 'eo']

- src_constituents: {'nld'}

- tgt_constituents: {'epo'}

- src_multilingual: False

- tgt_multilingual: False

- prepro:  normalization + SentencePiece (spm4k,spm4k)

- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/nld-epo/opus-2020-06-16.zip

- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/nld-epo/opus-2020-06-16.test.txt

- src_alpha3: nld

- tgt_alpha3: epo

- short_pair: nl-eo

- chrF2_score: 0.355

- bleu: 16.1

- brevity_penalty: 0.9359999999999999

- ref_len: 72293.0

- src_name: Dutch

- tgt_name: Esperanto

- train_date: 2020-06-16

- src_alpha2: nl

- tgt_alpha2: eo

- prefer_old: False

- long_pair: nld-epo

- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535

- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b

- port_machine: brutasse

- port_time: 2020-08-21-14:41


---
language:
- en
- hr
- mk
- bg
- sl
- zls

tags:
- translation

license: apache-2.0
---

### eng-zls

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

*  model: transformer
* source language(s): eng
* target language(s): bos_Latn bul bul_Latn hrv mkd slv srp_Cyrl srp_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-2020-08-02.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-zls/opus2m-2020-08-02.zip)
* test set translations: [opus2m-2020-08-02.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-zls/opus2m-2020-08-02.test.txt)
* test set scores: [opus2m-2020-08-02.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-zls/opus2m-2020-08-02.eval.txt)

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.eng-bul.eng.bul 	| 47.6 	| 0.657 |
| Tatoeba-test.eng-hbs.eng.hbs 	| 40.7 	| 0.619 |
| Tatoeba-test.eng-mkd.eng.mkd 	| 45.2 	| 0.642 |
| Tatoeba-test.eng.multi 	| 42.7 	| 0.622 |
| Tatoeba-test.eng-slv.eng.slv 	| 17.9 	| 0.351 |

### System Info:
- hf_name: eng-zls

- source_languages: eng

- target_languages: zls

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

- original_repo: Tatoeba-Challenge

- tags: ['translation']

- languages: ['en', 'hr', 'mk', 'bg', 'sl', 'zls']

- src_constituents: {'eng'}

- tgt_constituents: {'hrv', 'mkd', 'srp_Latn', 'srp_Cyrl', 'bul_Latn', 'bul', 'bos_Latn', 'slv'}

- src_multilingual: False

- tgt_multilingual: True

- prepro:  normalization + SentencePiece (spm32k,spm32k)

- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-zls/opus2m-2020-08-02.zip

- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-zls/opus2m-2020-08-02.test.txt

- src_alpha3: eng

- tgt_alpha3: zls

- short_pair: en-zls

- chrF2_score: 0.622

- bleu: 42.7

- brevity_penalty: 0.9690000000000001

- ref_len: 64788.0

- src_name: English

- tgt_name: South Slavic languages

- train_date: 2020-08-02

- src_alpha2: en

- tgt_alpha2: zls

- prefer_old: False

- long_pair: eng-zls

- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535

- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b

- port_machine: brutasse

- port_time: 2020-08-21-14:41


---
tags:
- translation
license: apache-2.0
---

### opus-mt-cs-en

* source languages: cs
* target languages: en
*  OPUS readme: [cs-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/cs-en/README.md)

*  dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2019-12-18.zip](https://object.pouta.csc.fi/OPUS-MT-models/cs-en/opus-2019-12-18.zip)
* test set translations: [opus-2019-12-18.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/cs-en/opus-2019-12-18.test.txt)
* test set scores: [opus-2019-12-18.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/cs-en/opus-2019-12-18.eval.txt)

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| newstest2014-csen.cs.en 	| 34.1 	| 0.612 |
| newstest2015-encs.cs.en 	| 30.4 	| 0.565 |
| newstest2016-encs.cs.en 	| 31.8 	| 0.584 |
| newstest2017-encs.cs.en 	| 28.7 	| 0.556 |
| newstest2018-encs.cs.en 	| 30.3 	| 0.566 |
| Tatoeba.cs.en 	| 58.0 	| 0.721 |


---
tags:
- translation
license: apache-2.0
---

### opus-mt-sv-lue

* source languages: sv
* target languages: lue
*  OPUS readme: [sv-lue](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/sv-lue/README.md)

*  dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/sv-lue/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-lue/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-lue/opus-2020-01-16.eval.txt)

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.sv.lue 	| 22.6 	| 0.502 |


---
tags:
- translation
license: apache-2.0
---

### opus-mt-fr-zne

* source languages: fr
* target languages: zne
*  OPUS readme: [fr-zne](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-zne/README.md)

*  dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/fr-zne/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-zne/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-zne/opus-2020-01-16.eval.txt)

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.fr.zne 	| 24.1 	| 0.460 |


---
tags:
- translation
license: apache-2.0
---

### opus-mt-en-mfe

* source languages: en
* target languages: mfe
*  OPUS readme: [en-mfe](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-mfe/README.md)

*  dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-08.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-mfe/opus-2020-01-08.zip)
* test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-mfe/opus-2020-01-08.test.txt)
* test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-mfe/opus-2020-01-08.eval.txt)

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.en.mfe 	| 32.1 	| 0.509 |


---
language:
- da
- nb
- sv
- is
- nn
- fo
- gmq

tags:
- translation

license: apache-2.0
---

### gmq-gmq

* source group: North Germanic languages
* target group: North Germanic languages
*  OPUS readme: [gmq-gmq](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/gmq-gmq/README.md)

*  model: transformer
* source language(s): dan fao isl nno nob swe
* target language(s): dan fao isl nno nob swe
* 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: [opus-2020-07-27.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/gmq-gmq/opus-2020-07-27.zip)
* test set translations: [opus-2020-07-27.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/gmq-gmq/opus-2020-07-27.test.txt)
* test set scores: [opus-2020-07-27.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/gmq-gmq/opus-2020-07-27.eval.txt)

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.dan-fao.dan.fao 	| 8.1 	| 0.173 |
| Tatoeba-test.dan-isl.dan.isl 	| 52.5 	| 0.827 |
| Tatoeba-test.dan-nor.dan.nor 	| 62.8 	| 0.772 |
| Tatoeba-test.dan-swe.dan.swe 	| 67.6 	| 0.802 |
| Tatoeba-test.fao-dan.fao.dan 	| 11.3 	| 0.306 |
| Tatoeba-test.fao-isl.fao.isl 	| 26.3 	| 0.359 |
| Tatoeba-test.fao-nor.fao.nor 	| 36.8 	| 0.531 |
| Tatoeba-test.fao-swe.fao.swe 	| 0.0 	| 0.632 |
| Tatoeba-test.isl-dan.isl.dan 	| 67.0 	| 0.739 |
| Tatoeba-test.isl-fao.isl.fao 	| 14.5 	| 0.243 |
| Tatoeba-test.isl-nor.isl.nor 	| 51.8 	| 0.674 |
| Tatoeba-test.isl-swe.isl.swe 	| 100.0 	| 1.000 |
| Tatoeba-test.multi.multi 	| 64.7 	| 0.782 |
| Tatoeba-test.nor-dan.nor.dan 	| 65.6 	| 0.797 |
| Tatoeba-test.nor-fao.nor.fao 	| 9.4 	| 0.362 |
| Tatoeba-test.nor-isl.nor.isl 	| 38.8 	| 0.587 |
| Tatoeba-test.nor-nor.nor.nor 	| 51.9 	| 0.721 |
| Tatoeba-test.nor-swe.nor.swe 	| 66.5 	| 0.789 |
| Tatoeba-test.swe-dan.swe.dan 	| 67.6 	| 0.802 |
| Tatoeba-test.swe-fao.swe.fao 	| 0.0 	| 0.268 |
| Tatoeba-test.swe-isl.swe.isl 	| 65.8 	| 0.914 |
| Tatoeba-test.swe-nor.swe.nor 	| 60.6 	| 0.755 |

### System Info:
- hf_name: gmq-gmq

- source_languages: gmq

- target_languages: gmq

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

- original_repo: Tatoeba-Challenge

- tags: ['translation']

- languages: ['da', 'nb', 'sv', 'is', 'nn', 'fo', 'gmq']

- src_constituents: {'dan', 'nob', 'nob_Hebr', 'swe', 'isl', 'nno', 'non_Latn', 'fao'}

- tgt_constituents: {'dan', 'nob', 'nob_Hebr', 'swe', 'isl', 'nno', 'non_Latn', 'fao'}

- src_multilingual: True

- tgt_multilingual: True

- prepro:  normalization + SentencePiece (spm32k,spm32k)

- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/gmq-gmq/opus-2020-07-27.zip

- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/gmq-gmq/opus-2020-07-27.test.txt

- src_alpha3: gmq

- tgt_alpha3: gmq

- short_pair: gmq-gmq

- chrF2_score: 0.782

- bleu: 64.7

- brevity_penalty: 0.9940000000000001

- ref_len: 49385.0

- src_name: North Germanic languages

- tgt_name: North Germanic languages

- train_date: 2020-07-27

- src_alpha2: gmq

- tgt_alpha2: gmq

- prefer_old: False

- long_pair: gmq-gmq

- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535

- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b

- port_machine: brutasse

- port_time: 2020-08-21-14:41


---
tags:
- translation
license: apache-2.0
---

### opus-mt-fr-tvl

* source languages: fr
* target languages: tvl
*  OPUS readme: [fr-tvl](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-tvl/README.md)

*  dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/fr-tvl/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-tvl/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-tvl/opus-2020-01-16.eval.txt)

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.fr.tvl 	| 32.6 	| 0.497 |


---
tags:
- translation
license: apache-2.0
---

### opus-mt-it-en

* source languages: it
* target languages: en
*  OPUS readme: [it-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/it-en/README.md)

*  dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2019-12-18.zip](https://object.pouta.csc.fi/OPUS-MT-models/it-en/opus-2019-12-18.zip)
* test set translations: [opus-2019-12-18.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/it-en/opus-2019-12-18.test.txt)
* test set scores: [opus-2019-12-18.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/it-en/opus-2019-12-18.eval.txt)

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| newssyscomb2009.it.en 	| 35.3 	| 0.600 |
| newstest2009.it.en 	| 34.0 	| 0.594 |
| Tatoeba.it.en 	| 70.9 	| 0.808 |


---
tags:
- translation
license: apache-2.0
---

### opus-mt-fr-crs

* source languages: fr
* target languages: crs
*  OPUS readme: [fr-crs](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-crs/README.md)

*  dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-09.zip](https://object.pouta.csc.fi/OPUS-MT-models/fr-crs/opus-2020-01-09.zip)
* test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-crs/opus-2020-01-09.test.txt)
* test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-crs/opus-2020-01-09.eval.txt)

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.fr.crs 	| 31.6 	| 0.492 |


---
language:
- tl
- en

tags:
- translation

license: apache-2.0
---

### tgl-eng

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

*  model: transformer-align
* source language(s): tgl_Latn
* target language(s): eng
* 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/tgl-eng/opus-2020-06-17.zip)
* test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/tgl-eng/opus-2020-06-17.test.txt)
* test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/tgl-eng/opus-2020-06-17.eval.txt)

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.tgl.eng 	| 35.0 	| 0.542 |

### System Info:
- hf_name: tgl-eng

- source_languages: tgl

- target_languages: eng

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

- original_repo: Tatoeba-Challenge

- tags: ['translation']

- languages: ['tl', 'en']

- src_constituents: {'tgl_Latn'}

- tgt_constituents: {'eng'}

- src_multilingual: False

- tgt_multilingual: False

- prepro:  normalization + SentencePiece (spm32k,spm32k)

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

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

- src_alpha3: tgl

- tgt_alpha3: eng

- short_pair: tl-en

- chrF2_score: 0.542

- bleu: 35.0

- brevity_penalty: 0.975

- ref_len: 18168.0

- src_name: Tagalog

- tgt_name: English

- train_date: 2020-06-17

- src_alpha2: tl

- tgt_alpha2: en

- prefer_old: False

- long_pair: tgl-eng

- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535

- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b

- port_machine: brutasse

- port_time: 2020-08-21-14:41


---
tags:
- translation
license: apache-2.0
---

### opus-mt-es-to

* source languages: es
* target languages: to
*  OPUS readme: [es-to](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/es-to/README.md)

*  dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/es-to/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-to/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-to/opus-2020-01-16.eval.txt)

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.es.to 	| 35.7 	| 0.510 |


---
language:
- eu
- de

tags:
- translation

license: apache-2.0
---

### eus-deu

* source group: Basque
* target group: German
*  OPUS readme: [eus-deu](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eus-deu/README.md)

*  model: transformer-align
* source language(s): eus
* target language(s): deu
* model: transformer-align
* pre-processing: normalization + SentencePiece (spm12k,spm12k)
* download original weights: [opus-2020-06-16.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/eus-deu/opus-2020-06-16.zip)
* test set translations: [opus-2020-06-16.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eus-deu/opus-2020-06-16.test.txt)
* test set scores: [opus-2020-06-16.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eus-deu/opus-2020-06-16.eval.txt)

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.eus.deu 	| 36.3 	| 0.562 |

### System Info:
- hf_name: eus-deu

- source_languages: eus

- target_languages: deu

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

- original_repo: Tatoeba-Challenge

- tags: ['translation']

- languages: ['eu', 'de']

- src_constituents: {'eus'}

- tgt_constituents: {'deu'}

- src_multilingual: False

- tgt_multilingual: False

- prepro:  normalization + SentencePiece (spm12k,spm12k)

- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/eus-deu/opus-2020-06-16.zip

- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/eus-deu/opus-2020-06-16.test.txt

- src_alpha3: eus

- tgt_alpha3: deu

- short_pair: eu-de

- chrF2_score: 0.562

- bleu: 36.3

- brevity_penalty: 0.953

- ref_len: 3315.0

- src_name: Basque

- tgt_name: German

- train_date: 2020-06-16

- src_alpha2: eu

- tgt_alpha2: de

- prefer_old: False

- long_pair: eus-deu

- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535

- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b

- port_machine: brutasse

- port_time: 2020-08-21-14:41


---
tags:
- translation
license: apache-2.0
---

### opus-mt-fr-mt

* source languages: fr
* target languages: mt
*  OPUS readme: [fr-mt](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-mt/README.md)

*  dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-09.zip](https://object.pouta.csc.fi/OPUS-MT-models/fr-mt/opus-2020-01-09.zip)
* test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-mt/opus-2020-01-09.test.txt)
* test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-mt/opus-2020-01-09.eval.txt)

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.fr.mt 	| 28.7 	| 0.466 |


---
language:
- en
- ca
- es
- os
- ro
- fy
- cy
- sc
- is
- yi
- lb
- an
- sq
- fr
- ht
- rm
- ps
- af
- uk
- sl
- lt
- bg
- be
- gd
- si
- br
- mk
- or
- mr
- ru
- fo
- co
- oc
- pl
- gl
- nb
- bn
- id
- hy
- da
- gv
- nl
- pt
- hi
- as
- kw
- ga
- sv
- gu
- wa
- lv
- el
- it
- hr
- ur
- nn
- de
- cs
- ine

tags:
- translation

license: apache-2.0
---

### eng-ine

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

*  model: transformer
* source language(s): eng
* target language(s): afr aln ang_Latn arg asm ast awa bel bel_Latn ben bho bos_Latn bre bul bul_Latn cat ces cor cos csb_Latn cym dan deu dsb egl ell enm_Latn ext fao fra frm_Latn frr fry gcf_Latn gla gle glg glv gom gos got_Goth grc_Grek gsw guj hat hif_Latn hin hrv hsb hye ind isl ita jdt_Cyrl ksh kur_Arab kur_Latn lad lad_Latn lat_Latn lav lij lit lld_Latn lmo ltg ltz mai mar max_Latn mfe min mkd mwl nds nld nno nob nob_Hebr non_Latn npi oci ori orv_Cyrl oss pan_Guru pap pdc pes pes_Latn pes_Thaa pms pnb pol por prg_Latn pus roh rom ron rue rus san_Deva scn sco sgs sin slv snd_Arab spa sqi srp_Cyrl srp_Latn stq swe swg tgk_Cyrl tly_Latn tmw_Latn ukr urd vec wln yid zlm_Latn zsm_Latn zza
* 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-ine/opus2m-2020-08-01.zip)
* test set translations: [opus2m-2020-08-01.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-ine/opus2m-2020-08-01.test.txt)
* test set scores: [opus2m-2020-08-01.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-ine/opus2m-2020-08-01.eval.txt)

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| newsdev2014-enghin.eng.hin 	| 6.2 	| 0.317 |
| newsdev2016-enro-engron.eng.ron 	| 22.1 	| 0.525 |
| newsdev2017-enlv-englav.eng.lav 	| 17.4 	| 0.486 |
| newsdev2019-engu-engguj.eng.guj 	| 6.5 	| 0.303 |
| newsdev2019-enlt-englit.eng.lit 	| 14.9 	| 0.476 |
| newsdiscussdev2015-enfr-engfra.eng.fra 	| 26.4 	| 0.547 |
| newsdiscusstest2015-enfr-engfra.eng.fra 	| 30.0 	| 0.575 |
| newssyscomb2009-engces.eng.ces 	| 14.7 	| 0.442 |
| newssyscomb2009-engdeu.eng.deu 	| 16.7 	| 0.487 |
| newssyscomb2009-engfra.eng.fra 	| 24.8 	| 0.547 |
| newssyscomb2009-engita.eng.ita 	| 25.2 	| 0.562 |
| newssyscomb2009-engspa.eng.spa 	| 27.0 	| 0.554 |
| news-test2008-engces.eng.ces 	| 13.0 	| 0.417 |
| news-test2008-engdeu.eng.deu 	| 17.4 	| 0.480 |
| news-test2008-engfra.eng.fra 	| 22.3 	| 0.519 |
| news-test2008-engspa.eng.spa 	| 24.9 	| 0.532 |
| newstest2009-engces.eng.ces 	| 13.6 	| 0.432 |
| newstest2009-engdeu.eng.deu 	| 16.6 	| 0.482 |
| newstest2009-engfra.eng.fra 	| 23.5 	| 0.535 |
| newstest2009-engita.eng.ita 	| 25.5 	| 0.561 |
| newstest2009-engspa.eng.spa 	| 26.3 	| 0.551 |
| newstest2010-engces.eng.ces 	| 14.2 	| 0.436 |
| newstest2010-engdeu.eng.deu 	| 18.3 	| 0.492 |
| newstest2010-engfra.eng.fra 	| 25.7 	| 0.550 |
| newstest2010-engspa.eng.spa 	| 30.5 	| 0.578 |
| newstest2011-engces.eng.ces 	| 15.1 	| 0.439 |
| newstest2011-engdeu.eng.deu 	| 17.1 	| 0.478 |
| newstest2011-engfra.eng.fra 	| 28.0 	| 0.569 |
| newstest2011-engspa.eng.spa 	| 31.9 	| 0.580 |
| newstest2012-engces.eng.ces 	| 13.6 	| 0.418 |
| newstest2012-engdeu.eng.deu 	| 17.0 	| 0.475 |
| newstest2012-engfra.eng.fra 	| 26.1 	| 0.553 |
| newstest2012-engrus.eng.rus 	| 21.4 	| 0.506 |
| newstest2012-engspa.eng.spa 	| 31.4 	| 0.577 |
| newstest2013-engces.eng.ces 	| 15.3 	| 0.438 |
| newstest2013-engdeu.eng.deu 	| 20.3 	| 0.501 |
| newstest2013-engfra.eng.fra 	| 26.0 	| 0.540 |
| newstest2013-engrus.eng.rus 	| 16.1 	| 0.449 |
| newstest2013-engspa.eng.spa 	| 28.6 	| 0.555 |
| newstest2014-hien-enghin.eng.hin 	| 9.5 	| 0.344 |
| newstest2015-encs-engces.eng.ces 	| 14.8 	| 0.440 |
| newstest2015-ende-engdeu.eng.deu 	| 22.6 	| 0.523 |
| newstest2015-enru-engrus.eng.rus 	| 18.8 	| 0.483 |
| newstest2016-encs-engces.eng.ces 	| 16.8 	| 0.457 |
| newstest2016-ende-engdeu.eng.deu 	| 26.2 	| 0.555 |
| newstest2016-enro-engron.eng.ron 	| 21.2 	| 0.510 |
| newstest2016-enru-engrus.eng.rus 	| 17.6 	| 0.471 |
| newstest2017-encs-engces.eng.ces 	| 13.6 	| 0.421 |
| newstest2017-ende-engdeu.eng.deu 	| 21.5 	| 0.516 |
| newstest2017-enlv-englav.eng.lav 	| 13.0 	| 0.452 |
| newstest2017-enru-engrus.eng.rus 	| 18.7 	| 0.486 |
| newstest2018-encs-engces.eng.ces 	| 13.5 	| 0.425 |
| newstest2018-ende-engdeu.eng.deu 	| 29.8 	| 0.581 |
| newstest2018-enru-engrus.eng.rus 	| 16.1 	| 0.472 |
| newstest2019-encs-engces.eng.ces 	| 14.8 	| 0.435 |
| newstest2019-ende-engdeu.eng.deu 	| 26.6 	| 0.554 |
| newstest2019-engu-engguj.eng.guj 	| 6.9 	| 0.313 |
| newstest2019-enlt-englit.eng.lit 	| 10.6 	| 0.429 |
| newstest2019-enru-engrus.eng.rus 	| 17.5 	| 0.452 |
| Tatoeba-test.eng-afr.eng.afr 	| 52.1 	| 0.708 |
| Tatoeba-test.eng-ang.eng.ang 	| 5.1 	| 0.131 |
| Tatoeba-test.eng-arg.eng.arg 	| 1.2 	| 0.099 |
| Tatoeba-test.eng-asm.eng.asm 	| 2.9 	| 0.259 |
| Tatoeba-test.eng-ast.eng.ast 	| 14.1 	| 0.408 |
| Tatoeba-test.eng-awa.eng.awa 	| 0.3 	| 0.002 |
| Tatoeba-test.eng-bel.eng.bel 	| 18.1 	| 0.450 |
| Tatoeba-test.eng-ben.eng.ben 	| 13.5 	| 0.432 |
| Tatoeba-test.eng-bho.eng.bho 	| 0.3 	| 0.003 |
| Tatoeba-test.eng-bre.eng.bre 	| 10.4 	| 0.318 |
| Tatoeba-test.eng-bul.eng.bul 	| 38.7 	| 0.592 |
| Tatoeba-test.eng-cat.eng.cat 	| 42.0 	| 0.633 |
| Tatoeba-test.eng-ces.eng.ces 	| 32.3 	| 0.546 |
| Tatoeba-test.eng-cor.eng.cor 	| 0.5 	| 0.079 |
| Tatoeba-test.eng-cos.eng.cos 	| 3.1 	| 0.148 |
| Tatoeba-test.eng-csb.eng.csb 	| 1.4 	| 0.216 |
| Tatoeba-test.eng-cym.eng.cym 	| 22.4 	| 0.470 |
| Tatoeba-test.eng-dan.eng.dan 	| 49.7 	| 0.671 |
| Tatoeba-test.eng-deu.eng.deu 	| 31.7 	| 0.554 |
| Tatoeba-test.eng-dsb.eng.dsb 	| 1.1 	| 0.139 |
| Tatoeba-test.eng-egl.eng.egl 	| 0.9 	| 0.089 |
| Tatoeba-test.eng-ell.eng.ell 	| 42.7 	| 0.640 |
| Tatoeba-test.eng-enm.eng.enm 	| 3.5 	| 0.259 |
| Tatoeba-test.eng-ext.eng.ext 	| 6.4 	| 0.235 |
| Tatoeba-test.eng-fao.eng.fao 	| 6.6 	| 0.285 |
| Tatoeba-test.eng-fas.eng.fas 	| 5.7 	| 0.257 |
| Tatoeba-test.eng-fra.eng.fra 	| 38.4 	| 0.595 |
| Tatoeba-test.eng-frm.eng.frm 	| 0.9 	| 0.149 |
| Tatoeba-test.eng-frr.eng.frr 	| 8.4 	| 0.145 |
| Tatoeba-test.eng-fry.eng.fry 	| 16.5 	| 0.411 |
| Tatoeba-test.eng-gcf.eng.gcf 	| 0.6 	| 0.098 |
| Tatoeba-test.eng-gla.eng.gla 	| 11.6 	| 0.361 |
| Tatoeba-test.eng-gle.eng.gle 	| 32.5 	| 0.546 |
| Tatoeba-test.eng-glg.eng.glg 	| 38.4 	| 0.602 |
| Tatoeba-test.eng-glv.eng.glv 	| 23.1 	| 0.418 |
| Tatoeba-test.eng-gos.eng.gos 	| 0.7 	| 0.137 |
| Tatoeba-test.eng-got.eng.got 	| 0.2 	| 0.010 |
| Tatoeba-test.eng-grc.eng.grc 	| 0.0 	| 0.005 |
| Tatoeba-test.eng-gsw.eng.gsw 	| 0.9 	| 0.108 |
| Tatoeba-test.eng-guj.eng.guj 	| 20.8 	| 0.391 |
| Tatoeba-test.eng-hat.eng.hat 	| 34.0 	| 0.537 |
| Tatoeba-test.eng-hbs.eng.hbs 	| 33.7 	| 0.567 |
| Tatoeba-test.eng-hif.eng.hif 	| 2.8 	| 0.269 |
| Tatoeba-test.eng-hin.eng.hin 	| 15.6 	| 0.437 |
| Tatoeba-test.eng-hsb.eng.hsb 	| 5.4 	| 0.320 |
| Tatoeba-test.eng-hye.eng.hye 	| 17.4 	| 0.426 |
| Tatoeba-test.eng-isl.eng.isl 	| 17.4 	| 0.436 |
| Tatoeba-test.eng-ita.eng.ita 	| 40.4 	| 0.636 |
| Tatoeba-test.eng-jdt.eng.jdt 	| 6.4 	| 0.008 |
| Tatoeba-test.eng-kok.eng.kok 	| 6.6 	| 0.005 |
| Tatoeba-test.eng-ksh.eng.ksh 	| 0.8 	| 0.123 |
| Tatoeba-test.eng-kur.eng.kur 	| 10.2 	| 0.209 |
| Tatoeba-test.eng-lad.eng.lad 	| 0.8 	| 0.163 |
| Tatoeba-test.eng-lah.eng.lah 	| 0.2 	| 0.001 |
| Tatoeba-test.eng-lat.eng.lat 	| 9.4 	| 0.372 |
| Tatoeba-test.eng-lav.eng.lav 	| 30.3 	| 0.559 |
| Tatoeba-test.eng-lij.eng.lij 	| 1.0 	| 0.130 |
| Tatoeba-test.eng-lit.eng.lit 	| 25.3 	| 0.560 |
| Tatoeba-test.eng-lld.eng.lld 	| 0.4 	| 0.139 |
| Tatoeba-test.eng-lmo.eng.lmo 	| 0.6 	| 0.108 |
| Tatoeba-test.eng-ltz.eng.ltz 	| 18.1 	| 0.388 |
| Tatoeba-test.eng-mai.eng.mai 	| 17.2 	| 0.464 |
| Tatoeba-test.eng-mar.eng.mar 	| 18.0 	| 0.451 |
| Tatoeba-test.eng-mfe.eng.mfe 	| 81.0 	| 0.899 |
| Tatoeba-test.eng-mkd.eng.mkd 	| 37.6 	| 0.587 |
| Tatoeba-test.eng-msa.eng.msa 	| 27.7 	| 0.519 |
| Tatoeba-test.eng.multi 	| 32.6 	| 0.539 |
| Tatoeba-test.eng-mwl.eng.mwl 	| 3.8 	| 0.134 |
| Tatoeba-test.eng-nds.eng.nds 	| 14.3 	| 0.401 |
| Tatoeba-test.eng-nep.eng.nep 	| 0.5 	| 0.002 |
| Tatoeba-test.eng-nld.eng.nld 	| 44.0 	| 0.642 |
| Tatoeba-test.eng-non.eng.non 	| 0.7 	| 0.118 |
| Tatoeba-test.eng-nor.eng.nor 	| 42.7 	| 0.623 |
| Tatoeba-test.eng-oci.eng.oci 	| 7.2 	| 0.295 |
| Tatoeba-test.eng-ori.eng.ori 	| 2.7 	| 0.257 |
| Tatoeba-test.eng-orv.eng.orv 	| 0.2 	| 0.008 |
| Tatoeba-test.eng-oss.eng.oss 	| 2.9 	| 0.264 |
| Tatoeba-test.eng-pan.eng.pan 	| 7.4 	| 0.337 |
| Tatoeba-test.eng-pap.eng.pap 	| 48.5 	| 0.656 |
| Tatoeba-test.eng-pdc.eng.pdc 	| 1.8 	| 0.145 |
| Tatoeba-test.eng-pms.eng.pms 	| 0.7 	| 0.136 |
| Tatoeba-test.eng-pol.eng.pol 	| 31.1 	| 0.563 |
| Tatoeba-test.eng-por.eng.por 	| 37.0 	| 0.605 |
| Tatoeba-test.eng-prg.eng.prg 	| 0.2 	| 0.100 |
| Tatoeba-test.eng-pus.eng.pus 	| 1.0 	| 0.134 |
| Tatoeba-test.eng-roh.eng.roh 	| 2.3 	| 0.236 |
| Tatoeba-test.eng-rom.eng.rom 	| 7.8 	| 0.340 |
| Tatoeba-test.eng-ron.eng.ron 	| 34.3 	| 0.585 |
| Tatoeba-test.eng-rue.eng.rue 	| 0.2 	| 0.010 |
| Tatoeba-test.eng-rus.eng.rus 	| 29.6 	| 0.526 |
| Tatoeba-test.eng-san.eng.san 	| 2.4 	| 0.125 |
| Tatoeba-test.eng-scn.eng.scn 	| 1.6 	| 0.079 |
| Tatoeba-test.eng-sco.eng.sco 	| 33.6 	| 0.562 |
| Tatoeba-test.eng-sgs.eng.sgs 	| 3.4 	| 0.114 |
| Tatoeba-test.eng-sin.eng.sin 	| 9.2 	| 0.349 |
| Tatoeba-test.eng-slv.eng.slv 	| 15.6 	| 0.334 |
| Tatoeba-test.eng-snd.eng.snd 	| 9.1 	| 0.324 |
| Tatoeba-test.eng-spa.eng.spa 	| 43.4 	| 0.645 |
| Tatoeba-test.eng-sqi.eng.sqi 	| 39.0 	| 0.621 |
| Tatoeba-test.eng-stq.eng.stq 	| 10.8 	| 0.373 |
| Tatoeba-test.eng-swe.eng.swe 	| 49.9 	| 0.663 |
| Tatoeba-test.eng-swg.eng.swg 	| 0.7 	| 0.137 |
| Tatoeba-test.eng-tgk.eng.tgk 	| 6.4 	| 0.346 |
| Tatoeba-test.eng-tly.eng.tly 	| 0.5 	| 0.055 |
| Tatoeba-test.eng-ukr.eng.ukr 	| 31.4 	| 0.536 |
| Tatoeba-test.eng-urd.eng.urd 	| 11.1 	| 0.389 |
| Tatoeba-test.eng-vec.eng.vec 	| 1.3 	| 0.110 |
| Tatoeba-test.eng-wln.eng.wln 	| 6.8 	| 0.233 |
| Tatoeba-test.eng-yid.eng.yid 	| 5.8 	| 0.295 |
| Tatoeba-test.eng-zza.eng.zza 	| 0.8 	| 0.086 |

### System Info:
- hf_name: eng-ine

- source_languages: eng

- target_languages: ine

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

- original_repo: Tatoeba-Challenge

- tags: ['translation']

- languages: ['en', 'ca', 'es', 'os', 'ro', 'fy', 'cy', 'sc', 'is', 'yi', 'lb', 'an', 'sq', 'fr', 'ht', 'rm', 'ps', 'af', 'uk', 'sl', 'lt', 'bg', 'be', 'gd', 'si', 'br', 'mk', 'or', 'mr', 'ru', 'fo', 'co', 'oc', 'pl', 'gl', 'nb', 'bn', 'id', 'hy', 'da', 'gv', 'nl', 'pt', 'hi', 'as', 'kw', 'ga', 'sv', 'gu', 'wa', 'lv', 'el', 'it', 'hr', 'ur', 'nn', 'de', 'cs', 'ine']

- src_constituents: {'eng'}

- tgt_constituents: {'cat', 'spa', 'pap', 'mwl', 'lij', 'bos_Latn', 'lad_Latn', 'lat_Latn', 'pcd', 'oss', 'ron', 'fry', 'cym', 'awa', 'swg', 'zsm_Latn', 'srd', 'gcf_Latn', 'isl', 'yid', 'bho', 'ltz', 'kur_Latn', 'arg', 'pes_Thaa', 'sqi', 'csb_Latn', 'fra', 'hat', 'non_Latn', 'sco', 'pnb', 'roh', 'bul_Latn', 'pus', 'afr', 'ukr', 'slv', 'lit', 'tmw_Latn', 'hsb', 'tly_Latn', 'bul', 'bel', 'got_Goth', 'lat_Grek', 'ext', 'gla', 'mai', 'sin', 'hif_Latn', 'eng', 'bre', 'nob_Hebr', 'prg_Latn', 'ang_Latn', 'aln', 'mkd', 'ori', 'mar', 'afr_Arab', 'san_Deva', 'gos', 'rus', 'fao', 'orv_Cyrl', 'bel_Latn', 'cos', 'zza', 'grc_Grek', 'oci', 'mfe', 'gom', 'bjn', 'sgs', 'tgk_Cyrl', 'hye_Latn', 'pdc', 'srp_Cyrl', 'pol', 'ast', 'glg', 'pms', 'nob', 'ben', 'min', 'srp_Latn', 'zlm_Latn', 'ind', 'rom', 'hye', 'scn', 'enm_Latn', 'lmo', 'npi', 'pes', 'dan', 'rus_Latn', 'jdt_Cyrl', 'gsw', 'glv', 'nld', 'snd_Arab', 'kur_Arab', 'por', 'hin', 'dsb', 'asm', 'lad', 'frm_Latn', 'ksh', 'pan_Guru', 'cor', 'gle', 'swe', 'guj', 'wln', 'lav', 'ell', 'frr', 'rue', 'ita', 'hrv', 'urd', 'stq', 'nno', 'deu', 'lld_Latn', 'ces', 'egl', 'vec', 'max_Latn', 'pes_Latn', 'ltg', 'nds'}

- src_multilingual: False

- tgt_multilingual: True

- prepro:  normalization + SentencePiece (spm32k,spm32k)

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

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

- src_alpha3: eng

- tgt_alpha3: ine

- short_pair: en-ine

- chrF2_score: 0.539

- bleu: 32.6

- brevity_penalty: 0.973

- ref_len: 68664.0

- src_name: English

- tgt_name: Indo-European languages

- train_date: 2020-08-01

- src_alpha2: en

- tgt_alpha2: ine

- prefer_old: False

- long_pair: eng-ine

- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535

- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b

- port_machine: brutasse

- port_time: 2020-08-21-14:41


---
language:
- ilo
- en

tags:
- translation

license: apache-2.0
---

### ilo-eng

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

*  model: transformer-align
* source language(s): ilo
* target language(s): eng
* model: transformer-align
* pre-processing: normalization + SentencePiece (spm12k,spm12k)
* download original weights: [opus-2020-06-16.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/ilo-eng/opus-2020-06-16.zip)
* test set translations: [opus-2020-06-16.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/ilo-eng/opus-2020-06-16.test.txt)
* test set scores: [opus-2020-06-16.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/ilo-eng/opus-2020-06-16.eval.txt)

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.ilo.eng 	| 36.4 	| 0.558 |

### System Info:
- hf_name: ilo-eng

- source_languages: ilo

- target_languages: eng

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

- original_repo: Tatoeba-Challenge

- tags: ['translation']

- languages: ['ilo', 'en']

- src_constituents: {'ilo'}

- tgt_constituents: {'eng'}

- src_multilingual: False

- tgt_multilingual: False

- prepro:  normalization + SentencePiece (spm12k,spm12k)

- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/ilo-eng/opus-2020-06-16.zip

- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/ilo-eng/opus-2020-06-16.test.txt

- src_alpha3: ilo

- tgt_alpha3: eng

- short_pair: ilo-en

- chrF2_score: 0.5579999999999999

- bleu: 36.4

- brevity_penalty: 1.0

- ref_len: 7384.0

- src_name: Iloko

- tgt_name: English

- train_date: 2020-06-16

- src_alpha2: ilo

- tgt_alpha2: en

- prefer_old: False

- long_pair: ilo-eng

- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535

- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b

- port_machine: brutasse

- port_time: 2020-08-21-14:41


---
language:
- zh
- sv

tags:
- translation

license: apache-2.0
---

### zho-swe

* source group: Chinese
* target group: Swedish
*  OPUS readme: [zho-swe](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/zho-swe/README.md)

*  model: transformer-align
* source language(s): cmn cmn_Bopo cmn_Hani cmn_Latn
* target language(s): swe
* 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/zho-swe/opus-2020-06-17.zip)
* test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/zho-swe/opus-2020-06-17.test.txt)
* test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/zho-swe/opus-2020-06-17.eval.txt)

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.zho.swe 	| 46.1 	| 0.621 |

### System Info:
- hf_name: zho-swe

- source_languages: zho

- target_languages: swe

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

- original_repo: Tatoeba-Challenge

- tags: ['translation']

- languages: ['zh', 'sv']

- src_constituents: {'cmn_Hans', 'nan', 'nan_Hani', 'gan', 'yue', 'cmn_Kana', 'yue_Hani', 'wuu_Bopo', 'cmn_Latn', 'yue_Hira', 'cmn_Hani', 'cjy_Hans', 'cmn', 'lzh_Hang', 'lzh_Hira', 'cmn_Hant', 'lzh_Bopo', 'zho', 'zho_Hans', 'zho_Hant', 'lzh_Hani', 'yue_Hang', 'wuu', 'yue_Kana', 'wuu_Latn', 'yue_Bopo', 'cjy_Hant', 'yue_Hans', 'lzh', 'cmn_Hira', 'lzh_Yiii', 'lzh_Hans', 'cmn_Bopo', 'cmn_Hang', 'hak_Hani', 'cmn_Yiii', 'yue_Hant', 'lzh_Kana', 'wuu_Hani'}

- tgt_constituents: {'swe'}

- src_multilingual: False

- tgt_multilingual: False

- prepro:  normalization + SentencePiece (spm32k,spm32k)

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

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

- src_alpha3: zho

- tgt_alpha3: swe

- short_pair: zh-sv

- chrF2_score: 0.621

- bleu: 46.1

- brevity_penalty: 0.956

- ref_len: 6223.0

- src_name: Chinese

- tgt_name: Swedish

- train_date: 2020-06-17

- src_alpha2: zh

- tgt_alpha2: sv

- prefer_old: False

- long_pair: zho-swe

- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535

- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b

- port_machine: brutasse

- port_time: 2020-08-21-14:41


---
tags:
- translation
license: apache-2.0
---

### opus-mt-fi-crs

* source languages: fi
* target languages: crs
*  OPUS readme: [fi-crs](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fi-crs/README.md)

*  dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-08.zip](https://object.pouta.csc.fi/OPUS-MT-models/fi-crs/opus-2020-01-08.zip)
* test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-crs/opus-2020-01-08.test.txt)
* test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-crs/opus-2020-01-08.eval.txt)

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.fi.crs 	| 29.6 	| 0.491 |


---
tags:
- translation
license: apache-2.0
---

### opus-mt-sv-crs

* source languages: sv
* target languages: crs
*  OPUS readme: [sv-crs](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/sv-crs/README.md)

*  dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/sv-crs/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-crs/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-crs/opus-2020-01-16.eval.txt)

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.sv.crs 	| 32.4 	| 0.512 |


---
language:
- en
- sn
- zu
- rw
- lg
- ts
- ln
- ny
- xh
- rn
- bnt

tags:
- translation

license: apache-2.0
---

### eng-bnt

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

*  model: transformer
* source language(s): eng
* target language(s): kin lin lug nya run sna swh toi_Latn tso umb xho zul
* 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: [opus-2020-07-26.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-bnt/opus-2020-07-26.zip)
* test set translations: [opus-2020-07-26.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-bnt/opus-2020-07-26.test.txt)
* test set scores: [opus-2020-07-26.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-bnt/opus-2020-07-26.eval.txt)

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.eng-kin.eng.kin 	| 12.5 	| 0.519 |
| Tatoeba-test.eng-lin.eng.lin 	| 1.1 	| 0.277 |
| Tatoeba-test.eng-lug.eng.lug 	| 4.8 	| 0.415 |
| Tatoeba-test.eng.multi 	| 12.1 	| 0.449 |
| Tatoeba-test.eng-nya.eng.nya 	| 22.1 	| 0.616 |
| Tatoeba-test.eng-run.eng.run 	| 13.2 	| 0.492 |
| Tatoeba-test.eng-sna.eng.sna 	| 32.1 	| 0.669 |
| Tatoeba-test.eng-swa.eng.swa 	| 1.7 	| 0.180 |
| Tatoeba-test.eng-toi.eng.toi 	| 10.7 	| 0.266 |
| Tatoeba-test.eng-tso.eng.tso 	| 26.9 	| 0.631 |
| Tatoeba-test.eng-umb.eng.umb 	| 5.2 	| 0.295 |
| Tatoeba-test.eng-xho.eng.xho 	| 22.6 	| 0.615 |
| Tatoeba-test.eng-zul.eng.zul 	| 41.1 	| 0.769 |

### System Info:
- hf_name: eng-bnt

- source_languages: eng

- target_languages: bnt

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

- original_repo: Tatoeba-Challenge

- tags: ['translation']

- languages: ['en', 'sn', 'zu', 'rw', 'lg', 'ts', 'ln', 'ny', 'xh', 'rn', 'bnt']

- src_constituents: {'eng'}

- tgt_constituents: {'sna', 'zul', 'kin', 'lug', 'tso', 'lin', 'nya', 'xho', 'swh', 'run', 'toi_Latn', 'umb'}

- src_multilingual: False

- tgt_multilingual: True

- prepro:  normalization + SentencePiece (spm32k,spm32k)

- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-bnt/opus-2020-07-26.zip

- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-bnt/opus-2020-07-26.test.txt

- src_alpha3: eng

- tgt_alpha3: bnt

- short_pair: en-bnt

- chrF2_score: 0.449

- bleu: 12.1

- brevity_penalty: 1.0

- ref_len: 9989.0

- src_name: English

- tgt_name: Bantu languages

- train_date: 2020-07-26

- src_alpha2: en

- tgt_alpha2: bnt

- prefer_old: False

- long_pair: eng-bnt

- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535

- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b

- port_machine: brutasse

- port_time: 2020-08-21-14:41


---
language:
- rn
- es

tags:
- translation

license: apache-2.0
---

### run-spa

* source group: Rundi
* target group: Spanish
*  OPUS readme: [run-spa](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/run-spa/README.md)

*  model: transformer-align
* source language(s): run
* target language(s): spa
* model: transformer-align
* pre-processing: normalization + SentencePiece (spm4k,spm4k)
* download original weights: [opus-2020-06-16.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/run-spa/opus-2020-06-16.zip)
* test set translations: [opus-2020-06-16.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/run-spa/opus-2020-06-16.test.txt)
* test set scores: [opus-2020-06-16.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/run-spa/opus-2020-06-16.eval.txt)

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.run.spa 	| 14.4 	| 0.376 |

### System Info:
- hf_name: run-spa

- source_languages: run

- target_languages: spa

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

- original_repo: Tatoeba-Challenge

- tags: ['translation']

- languages: ['rn', 'es']

- src_constituents: {'run'}

- tgt_constituents: {'spa'}

- src_multilingual: False

- tgt_multilingual: False

- prepro:  normalization + SentencePiece (spm4k,spm4k)

- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/run-spa/opus-2020-06-16.zip

- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/run-spa/opus-2020-06-16.test.txt

- src_alpha3: run

- tgt_alpha3: spa

- short_pair: rn-es

- chrF2_score: 0.376

- bleu: 14.4

- brevity_penalty: 1.0

- ref_len: 5167.0

- src_name: Rundi

- tgt_name: Spanish

- train_date: 2020-06-16

- src_alpha2: rn

- tgt_alpha2: es

- prefer_old: False

- long_pair: run-spa

- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535

- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b

- port_machine: brutasse

- port_time: 2020-08-21-14:41


---
tags:
- translation
license: apache-2.0
---

### opus-mt-fi-bcl

* source languages: fi
* target languages: bcl
*  OPUS readme: [fi-bcl](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fi-bcl/README.md)

*  dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-08.zip](https://object.pouta.csc.fi/OPUS-MT-models/fi-bcl/opus-2020-01-08.zip)
* test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-bcl/opus-2020-01-08.test.txt)
* test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-bcl/opus-2020-01-08.eval.txt)

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.fi.bcl 	| 38.4 	| 0.604 |


---
tags:
- translation
license: apache-2.0
---

### opus-mt-en-lg

* source languages: en
* target languages: lg
*  OPUS readme: [en-lg](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-lg/README.md)

*  dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-08.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-lg/opus-2020-01-08.zip)
* test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-lg/opus-2020-01-08.test.txt)
* test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-lg/opus-2020-01-08.eval.txt)

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.en.lg 	| 30.4 	| 0.543 |
| Tatoeba.en.lg 	| 5.7 	| 0.386 |


---
tags:
- translation
license: apache-2.0
---

### opus-mt-wa-en

* source languages: wa
* target languages: en
*  OPUS readme: [wa-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/wa-en/README.md)

*  dataset: opus-enwa
* model: transformer
* pre-processing: normalization + SentencePiece
* download original weights: [opus-enwa-2020-03-21.zip](https://object.pouta.csc.fi/OPUS-MT-models/wa-en/opus-enwa-2020-03-21.zip)
* test set translations: [opus-enwa-2020-03-21.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/wa-en/opus-enwa-2020-03-21.test.txt)
* test set scores: [opus-enwa-2020-03-21.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/wa-en/opus-enwa-2020-03-21.eval.txt)

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| enwa.fr.en 	| 42.6 	| 0.564 |


---
tags:
- translation
license: apache-2.0
---

### opus-mt-bem-sv

* source languages: bem
* target languages: sv
*  OPUS readme: [bem-sv](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/bem-sv/README.md)

*  dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-08.zip](https://object.pouta.csc.fi/OPUS-MT-models/bem-sv/opus-2020-01-08.zip)
* test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/bem-sv/opus-2020-01-08.test.txt)
* test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/bem-sv/opus-2020-01-08.eval.txt)

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.bem.sv 	| 25.6 	| 0.434 |


---
tags:
- translation
license: apache-2.0
---

### opus-mt-is-en

* source languages: is
* target languages: en
*  OPUS readme: [is-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/is-en/README.md)

*  dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2019-12-18.zip](https://object.pouta.csc.fi/OPUS-MT-models/is-en/opus-2019-12-18.zip)
* test set translations: [opus-2019-12-18.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/is-en/opus-2019-12-18.test.txt)
* test set scores: [opus-2019-12-18.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/is-en/opus-2019-12-18.eval.txt)

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba.is.en 	| 51.4 	| 0.672 |


---
language:
- no
- ru

tags:
- translation

license: apache-2.0
---

### nor-rus

* source group: Norwegian
* target group: Russian
*  OPUS readme: [nor-rus](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/nor-rus/README.md)

*  model: transformer-align
* source language(s): nno nob
* target language(s): rus
* model: transformer-align
* pre-processing: normalization + SentencePiece (spm4k,spm4k)
* download original weights: [opus-2020-06-17.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/nor-rus/opus-2020-06-17.zip)
* test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/nor-rus/opus-2020-06-17.test.txt)
* test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/nor-rus/opus-2020-06-17.eval.txt)

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.nor.rus 	| 18.6 	| 0.400 |

### System Info:
- hf_name: nor-rus

- source_languages: nor

- target_languages: rus

- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/nor-rus/README.md

- original_repo: Tatoeba-Challenge

- tags: ['translation']

- languages: ['no', 'ru']

- src_constituents: {'nob', 'nno'}

- tgt_constituents: {'rus'}

- src_multilingual: False

- tgt_multilingual: False

- prepro:  normalization + SentencePiece (spm4k,spm4k)

- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/nor-rus/opus-2020-06-17.zip

- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/nor-rus/opus-2020-06-17.test.txt

- src_alpha3: nor

- tgt_alpha3: rus

- short_pair: no-ru

- chrF2_score: 0.4

- bleu: 18.6

- brevity_penalty: 0.958

- ref_len: 10671.0

- src_name: Norwegian

- tgt_name: Russian

- train_date: 2020-06-17

- src_alpha2: no

- tgt_alpha2: ru

- prefer_old: False

- long_pair: nor-rus

- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535

- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b

- port_machine: brutasse

- port_time: 2020-08-21-14:41


---
tags:
- translation
license: apache-2.0
---

### opus-mt-de-es

* source languages: de
* target languages: es
*  OPUS readme: [de-es](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/de-es/README.md)

*  dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-15.zip](https://object.pouta.csc.fi/OPUS-MT-models/de-es/opus-2020-01-15.zip)
* test set translations: [opus-2020-01-15.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-es/opus-2020-01-15.test.txt)
* test set scores: [opus-2020-01-15.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-es/opus-2020-01-15.eval.txt)

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba.de.es 	| 48.5 	| 0.676 |


---
tags:
- translation
license: apache-2.0
---

### opus-mt-sv-nso

* source languages: sv
* target languages: nso
*  OPUS readme: [sv-nso](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/sv-nso/README.md)

*  dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/sv-nso/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-nso/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-nso/opus-2020-01-16.eval.txt)

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.sv.nso 	| 37.9 	| 0.575 |


---
tags:
- translation
license: apache-2.0
---

### opus-mt-fr-sm

* source languages: fr
* target languages: sm
*  OPUS readme: [fr-sm](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-sm/README.md)

*  dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/fr-sm/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-sm/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-sm/opus-2020-01-16.eval.txt)

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.fr.sm 	| 28.8 	| 0.474 |


---
tags:
- translation
license: apache-2.0
---

### opus-mt-hy-en

* source languages: hy
* target languages: en
*  OPUS readme: [hy-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/hy-en/README.md)

*  dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2019-12-18.zip](https://object.pouta.csc.fi/OPUS-MT-models/hy-en/opus-2019-12-18.zip)
* test set translations: [opus-2019-12-18.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/hy-en/opus-2019-12-18.test.txt)
* test set scores: [opus-2019-12-18.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/hy-en/opus-2019-12-18.eval.txt)

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba.hy.en 	| 29.5 	| 0.466 |


---
language:
- zh
- ms

tags:
- translation

license: apache-2.0
---

### zho-msa

* source group: Chinese
* target group: Malay (macrolanguage)
*  OPUS readme: [zho-msa](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/zho-msa/README.md)

*  model: transformer-align
* source language(s): cmn_Bopo cmn_Hani cmn_Latn hak_Hani yue_Bopo yue_Hani
* target language(s): ind zsm_Latn
* model: transformer-align
* 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: [opus-2020-06-17.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/zho-msa/opus-2020-06-17.zip)
* test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/zho-msa/opus-2020-06-17.test.txt)
* test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/zho-msa/opus-2020-06-17.eval.txt)

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.zho.msa 	| 13.9 	| 0.390 |

### System Info:
- hf_name: zho-msa

- source_languages: zho

- target_languages: msa

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

- original_repo: Tatoeba-Challenge

- tags: ['translation']

- languages: ['zh', 'ms']

- src_constituents: {'cmn_Hans', 'nan', 'nan_Hani', 'gan', 'yue', 'cmn_Kana', 'yue_Hani', 'wuu_Bopo', 'cmn_Latn', 'yue_Hira', 'cmn_Hani', 'cjy_Hans', 'cmn', 'lzh_Hang', 'lzh_Hira', 'cmn_Hant', 'lzh_Bopo', 'zho', 'zho_Hans', 'zho_Hant', 'lzh_Hani', 'yue_Hang', 'wuu', 'yue_Kana', 'wuu_Latn', 'yue_Bopo', 'cjy_Hant', 'yue_Hans', 'lzh', 'cmn_Hira', 'lzh_Yiii', 'lzh_Hans', 'cmn_Bopo', 'cmn_Hang', 'hak_Hani', 'cmn_Yiii', 'yue_Hant', 'lzh_Kana', 'wuu_Hani'}

- tgt_constituents: {'zsm_Latn', 'ind', 'max_Latn', 'zlm_Latn', 'min'}

- src_multilingual: False

- tgt_multilingual: False

- prepro:  normalization + SentencePiece (spm32k,spm32k)

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

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

- src_alpha3: zho

- tgt_alpha3: msa

- short_pair: zh-ms

- chrF2_score: 0.39

- bleu: 13.9

- brevity_penalty: 0.9229999999999999

- ref_len: 2762.0

- src_name: Chinese

- tgt_name: Malay (macrolanguage)

- train_date: 2020-06-17

- src_alpha2: zh

- tgt_alpha2: ms

- prefer_old: False

- long_pair: zho-msa

- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535

- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b

- port_machine: brutasse

- port_time: 2020-08-21-14:41


---
tags:
- translation
license: apache-2.0
---

### opus-mt-tw-sv

* source languages: tw
* target languages: sv
*  OPUS readme: [tw-sv](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/tw-sv/README.md)

*  dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/tw-sv/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/tw-sv/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/tw-sv/opus-2020-01-16.eval.txt)

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.tw.sv 	| 29.0 	| 0.471 |


---
tags:
- translation
license: apache-2.0
---

### opus-mt-gil-fi

* source languages: gil
* target languages: fi
*  OPUS readme: [gil-fi](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/gil-fi/README.md)

*  dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-09.zip](https://object.pouta.csc.fi/OPUS-MT-models/gil-fi/opus-2020-01-09.zip)
* test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/gil-fi/opus-2020-01-09.test.txt)
* test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/gil-fi/opus-2020-01-09.eval.txt)

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.gil.fi 	| 23.1 	| 0.447 |


---
tags:
- translation
license: apache-2.0
---

### opus-mt-ht-en

* source languages: ht
* target languages: en
*  OPUS readme: [ht-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/ht-en/README.md)

*  dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-09.zip](https://object.pouta.csc.fi/OPUS-MT-models/ht-en/opus-2020-01-09.zip)
* test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/ht-en/opus-2020-01-09.test.txt)
* test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/ht-en/opus-2020-01-09.eval.txt)

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.ht.en 	| 37.5 	| 0.542 |
| Tatoeba.ht.en 	| 57.0 	| 0.689 |


---
tags:
- translation
license: apache-2.0
---

### opus-mt-rnd-en

* source languages: rnd
* target languages: en
*  OPUS readme: [rnd-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/rnd-en/README.md)

*  dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/rnd-en/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/rnd-en/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/rnd-en/opus-2020-01-16.eval.txt)

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.rnd.en 	| 37.8 	| 0.531 |


---
tags:
- translation
license: apache-2.0
---

### opus-mt-en-pap

* source languages: en
* target languages: pap
*  OPUS readme: [en-pap](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-pap/README.md)

*  dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-08.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-pap/opus-2020-01-08.zip)
* test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-pap/opus-2020-01-08.test.txt)
* test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-pap/opus-2020-01-08.eval.txt)

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.en.pap 	| 40.1 	| 0.586 |
| Tatoeba.en.pap 	| 52.8 	| 0.665 |


---
language:
- en
- se
- fi
- hu
- et
- urj

tags:
- translation

license: apache-2.0
---

### eng-urj

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

*  model: transformer
* source language(s): eng
* target language(s): est fin fkv_Latn hun izh kpv krl liv_Latn mdf mhr myv sma sme udm vro
* 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-2020-08-02.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-urj/opus2m-2020-08-02.zip)
* test set translations: [opus2m-2020-08-02.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-urj/opus2m-2020-08-02.test.txt)
* test set scores: [opus2m-2020-08-02.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-urj/opus2m-2020-08-02.eval.txt)

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| newsdev2015-enfi-engfin.eng.fin 	| 18.3 	| 0.519 |
| newsdev2018-enet-engest.eng.est 	| 19.3 	| 0.520 |
| newssyscomb2009-enghun.eng.hun 	| 15.4 	| 0.471 |
| newstest2009-enghun.eng.hun 	| 15.7 	| 0.468 |
| newstest2015-enfi-engfin.eng.fin 	| 20.2 	| 0.534 |
| newstest2016-enfi-engfin.eng.fin 	| 20.7 	| 0.541 |
| newstest2017-enfi-engfin.eng.fin 	| 23.6 	| 0.566 |
| newstest2018-enet-engest.eng.est 	| 20.8 	| 0.535 |
| newstest2018-enfi-engfin.eng.fin 	| 15.8 	| 0.499 |
| newstest2019-enfi-engfin.eng.fin 	| 19.9 	| 0.518 |
| newstestB2016-enfi-engfin.eng.fin 	| 16.6 	| 0.509 |
| newstestB2017-enfi-engfin.eng.fin 	| 19.4 	| 0.529 |
| Tatoeba-test.eng-chm.eng.chm 	| 1.3 	| 0.127 |
| Tatoeba-test.eng-est.eng.est 	| 51.0 	| 0.692 |
| Tatoeba-test.eng-fin.eng.fin 	| 34.6 	| 0.597 |
| Tatoeba-test.eng-fkv.eng.fkv 	| 2.2 	| 0.302 |
| Tatoeba-test.eng-hun.eng.hun 	| 35.6 	| 0.591 |
| Tatoeba-test.eng-izh.eng.izh 	| 5.7 	| 0.211 |
| Tatoeba-test.eng-kom.eng.kom 	| 3.0 	| 0.012 |
| Tatoeba-test.eng-krl.eng.krl 	| 8.5 	| 0.230 |
| Tatoeba-test.eng-liv.eng.liv 	| 2.7 	| 0.077 |
| Tatoeba-test.eng-mdf.eng.mdf 	| 2.8 	| 0.007 |
| Tatoeba-test.eng.multi 	| 35.1 	| 0.588 |
| Tatoeba-test.eng-myv.eng.myv 	| 1.3 	| 0.014 |
| Tatoeba-test.eng-sma.eng.sma 	| 1.8 	| 0.095 |
| Tatoeba-test.eng-sme.eng.sme 	| 6.8 	| 0.204 |
| Tatoeba-test.eng-udm.eng.udm 	| 1.1 	| 0.121 |

### System Info:
- hf_name: eng-urj

- source_languages: eng

- target_languages: urj

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

- original_repo: Tatoeba-Challenge

- tags: ['translation']

- languages: ['en', 'se', 'fi', 'hu', 'et', 'urj']

- src_constituents: {'eng'}

- tgt_constituents: {'izh', 'mdf', 'vep', 'vro', 'sme', 'myv', 'fkv_Latn', 'krl', 'fin', 'hun', 'kpv', 'udm', 'liv_Latn', 'est', 'mhr', 'sma'}

- src_multilingual: False

- tgt_multilingual: True

- prepro:  normalization + SentencePiece (spm32k,spm32k)

- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-urj/opus2m-2020-08-02.zip

- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-urj/opus2m-2020-08-02.test.txt

- src_alpha3: eng

- tgt_alpha3: urj

- short_pair: en-urj

- chrF2_score: 0.588

- bleu: 35.1

- brevity_penalty: 0.943

- ref_len: 59664.0

- src_name: English

- tgt_name: Uralic languages

- train_date: 2020-08-02

- src_alpha2: en

- tgt_alpha2: urj

- prefer_old: False

- long_pair: eng-urj

- 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

tags:
- translation

license: apache-2.0
---

### 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