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

### opus-mt-csg-es

* source languages: csg
* target languages: es
*  OPUS readme: [csg-es](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/csg-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/csg-es/opus-2020-01-15.zip)
* test set translations: [opus-2020-01-15.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/csg-es/opus-2020-01-15.test.txt)
* test set scores: [opus-2020-01-15.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/csg-es/opus-2020-01-15.eval.txt)

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.csg.es 	| 93.1 	| 0.952 |


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

### opus-mt-tr-sv

* source languages: tr
* target languages: sv
*  OPUS readme: [tr-sv](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/tr-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/tr-sv/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/tr-sv/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/tr-sv/opus-2020-01-16.eval.txt)

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.tr.sv 	| 26.3 	| 0.478 |


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

### opus-mt-fi-ln

* source languages: fi
* target languages: ln
*  OPUS readme: [fi-ln](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fi-ln/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-ln/opus-2020-01-24.zip)
* test set translations: [opus-2020-01-24.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-ln/opus-2020-01-24.test.txt)
* test set scores: [opus-2020-01-24.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-ln/opus-2020-01-24.eval.txt)

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.fi.ln 	| 29.2 	| 0.536 |


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

### opus-mt-lus-es

* source languages: lus
* target languages: es
*  OPUS readme: [lus-es](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/lus-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/lus-es/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/lus-es/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/lus-es/opus-2020-01-16.eval.txt)

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.lus.es 	| 21.6 	| 0.389 |


---
language:
- uk
- nl

tags:
- translation

license: apache-2.0
---

### ukr-nld

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

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

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.ukr.nld 	| 48.7 	| 0.656 |

### System Info:
- hf_name: ukr-nld

- source_languages: ukr

- target_languages: nld

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

- original_repo: Tatoeba-Challenge

- tags: ['translation']

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

- src_constituents: {'ukr'}

- tgt_constituents: {'nld'}

- src_multilingual: False

- tgt_multilingual: False

- prepro:  normalization + SentencePiece (spm32k,spm32k)

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

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

- src_alpha3: ukr

- tgt_alpha3: nld

- short_pair: uk-nl

- chrF2_score: 0.6559999999999999

- bleu: 48.7

- brevity_penalty: 0.985

- ref_len: 59943.0

- src_name: Ukrainian

- tgt_name: Dutch

- train_date: 2020-06-17

- src_alpha2: uk

- tgt_alpha2: nl

- prefer_old: False

- long_pair: ukr-nld

- 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-en-INSULAR_CELTIC

* source languages: en
* target languages: ga,cy,br,gd,kw,gv
*  OPUS readme: [en-ga+cy+br+gd+kw+gv](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-ga+cy+br+gd+kw+gv/README.md)

*  dataset: opus+techiaith+bt
* model: transformer-align
* pre-processing: normalization + SentencePiece
* a sentence initial language token is required in the form of `>>id<<` (id = valid target language ID)
* download original weights: [opus+techiaith+bt-2020-04-24.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-ga+cy+br+gd+kw+gv/opus+techiaith+bt-2020-04-24.zip)
* test set translations: [opus+techiaith+bt-2020-04-24.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-ga+cy+br+gd+kw+gv/opus+techiaith+bt-2020-04-24.test.txt)
* test set scores: [opus+techiaith+bt-2020-04-24.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-ga+cy+br+gd+kw+gv/opus+techiaith+bt-2020-04-24.eval.txt)

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba.en.ga 	| 22.8 	| 0.404 |


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

### opus-mt-fr-kqn

* source languages: fr
* target languages: kqn
*  OPUS readme: [fr-kqn](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-kqn/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-kqn/opus-2020-01-09.zip)
* test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-kqn/opus-2020-01-09.test.txt)
* test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-kqn/opus-2020-01-09.eval.txt)

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.fr.kqn 	| 23.3 	| 0.469 |


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

### opus-mt-mk-en

* source languages: mk
* target languages: en
*  OPUS readme: [mk-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/mk-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/mk-en/opus-2019-12-18.zip)
* test set translations: [opus-2019-12-18.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/mk-en/opus-2019-12-18.test.txt)
* test set scores: [opus-2019-12-18.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/mk-en/opus-2019-12-18.eval.txt)

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba.mk.en 	| 59.8 	| 0.720 |


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

### opus-mt-en-pag

* source languages: en
* target languages: pag
*  OPUS readme: [en-pag](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-pag/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/en-pag/opus-2020-01-20.zip)
* test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-pag/opus-2020-01-20.test.txt)
* test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-pag/opus-2020-01-20.eval.txt)

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.en.pag 	| 37.9 	| 0.598 |


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

### opus-mt-ha-en

* source languages: ha
* target languages: en
*  OPUS readme: [ha-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/ha-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/ha-en/opus-2020-01-09.zip)
* test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/ha-en/opus-2020-01-09.test.txt)
* test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/ha-en/opus-2020-01-09.eval.txt)

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.ha.en 	| 35.0 	| 0.506 |
| Tatoeba.ha.en 	| 39.0 	| 0.497 |


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

### opus-mt-fr-mfe

* source languages: fr
* target languages: mfe
*  OPUS readme: [fr-mfe](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-mfe/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/fr-mfe/opus-2020-01-20.zip)
* test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-mfe/opus-2020-01-20.test.txt)
* test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-mfe/opus-2020-01-20.eval.txt)

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.fr.mfe 	| 26.1 	| 0.451 |


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

### opus-mt-fi-lue

* source languages: fi
* target languages: lue
*  OPUS readme: [fi-lue](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fi-lue/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-lue/opus-2020-01-08.zip)
* test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-lue/opus-2020-01-08.test.txt)
* test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-lue/opus-2020-01-08.eval.txt)

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.fi.lue 	| 22.4 	| 0.497 |


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

tags:
- translation

license: apache-2.0
---

### eng-gmq

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

*  model: transformer
* source language(s): eng
* target language(s): dan fao isl nno nob nob_Hebr non_Latn 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: [opus2m-2020-08-01.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-gmq/opus2m-2020-08-01.zip)
* test set translations: [opus2m-2020-08-01.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-gmq/opus2m-2020-08-01.test.txt)
* test set scores: [opus2m-2020-08-01.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-gmq/opus2m-2020-08-01.eval.txt)

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.eng-dan.eng.dan 	| 57.7 	| 0.724 |
| Tatoeba-test.eng-fao.eng.fao 	| 9.2 	| 0.322 |
| Tatoeba-test.eng-isl.eng.isl 	| 23.8 	| 0.506 |
| Tatoeba-test.eng.multi 	| 52.8 	| 0.688 |
| Tatoeba-test.eng-non.eng.non 	| 0.7 	| 0.196 |
| Tatoeba-test.eng-nor.eng.nor 	| 50.3 	| 0.678 |
| Tatoeba-test.eng-swe.eng.swe 	| 57.8 	| 0.717 |

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

- source_languages: eng

- target_languages: gmq

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

- original_repo: Tatoeba-Challenge

- tags: ['translation']

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

- src_constituents: {'eng'}

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

- src_multilingual: False

- tgt_multilingual: True

- prepro:  normalization + SentencePiece (spm32k,spm32k)

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

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

- src_alpha3: eng

- tgt_alpha3: gmq

- short_pair: en-gmq

- chrF2_score: 0.688

- bleu: 52.8

- brevity_penalty: 0.973

- ref_len: 71881.0

- src_name: English

- tgt_name: North Germanic languages

- train_date: 2020-08-01

- src_alpha2: en

- tgt_alpha2: gmq

- prefer_old: False

- long_pair: eng-gmq

- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535

- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b

- port_machine: brutasse

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


---
language:
- af
- nl

tags:
- translation

license: apache-2.0
---

### afr-nld

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

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

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.afr.nld 	| 55.2 	| 0.715 |

### System Info:
- hf_name: afr-nld

- source_languages: afr

- target_languages: nld

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

- original_repo: Tatoeba-Challenge

- tags: ['translation']

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

- src_constituents: {'afr'}

- tgt_constituents: {'nld'}

- src_multilingual: False

- tgt_multilingual: False

- prepro:  normalization + SentencePiece (spm32k,spm32k)

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

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

- src_alpha3: afr

- tgt_alpha3: nld

- short_pair: af-nl

- chrF2_score: 0.715

- bleu: 55.2

- brevity_penalty: 0.995

- ref_len: 6710.0

- src_name: Afrikaans

- tgt_name: Dutch

- train_date: 2020-06-17

- src_alpha2: af

- tgt_alpha2: nl

- prefer_old: False

- long_pair: afr-nld

- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535

- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b

- port_machine: brutasse

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


---
language:
- hy
- ru

tags:
- translation

license: apache-2.0
---

### hye-rus

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

*  model: transformer-align
* source language(s): hye hye_Latn
* target language(s): rus
* 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/hye-rus/opus-2020-06-16.zip)
* test set translations: [opus-2020-06-16.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/hye-rus/opus-2020-06-16.test.txt)
* test set scores: [opus-2020-06-16.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/hye-rus/opus-2020-06-16.eval.txt)

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.hye.rus 	| 25.6 	| 0.476 |

### System Info:
- hf_name: hye-rus

- source_languages: hye

- target_languages: rus

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

- original_repo: Tatoeba-Challenge

- tags: ['translation']

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

- src_constituents: {'hye', 'hye_Latn'}

- tgt_constituents: {'rus'}

- src_multilingual: False

- tgt_multilingual: False

- prepro:  normalization + SentencePiece (spm4k,spm4k)

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

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

- src_alpha3: hye

- tgt_alpha3: rus

- short_pair: hy-ru

- chrF2_score: 0.47600000000000003

- bleu: 25.6

- brevity_penalty: 0.929

- ref_len: 1624.0

- src_name: Armenian

- tgt_name: Russian

- train_date: 2020-06-16

- src_alpha2: hy

- tgt_alpha2: ru

- prefer_old: False

- long_pair: hye-rus

- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535

- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b

- port_machine: brutasse

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


---
language:
- vi
- ru

tags:
- translation

license: apache-2.0
---

### vie-rus

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

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

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.vie.rus 	| 16.9 	| 0.331 |

### System Info:
- hf_name: vie-rus

- source_languages: vie

- target_languages: rus

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

- original_repo: Tatoeba-Challenge

- tags: ['translation']

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

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

- tgt_constituents: {'rus'}

- src_multilingual: False

- tgt_multilingual: False

- prepro:  normalization + SentencePiece (spm32k,spm32k)

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

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

- src_alpha3: vie

- tgt_alpha3: rus

- short_pair: vi-ru

- chrF2_score: 0.331

- bleu: 16.9

- brevity_penalty: 0.878

- ref_len: 2207.0

- src_name: Vietnamese

- tgt_name: Russian

- train_date: 2020-06-17

- src_alpha2: vi

- tgt_alpha2: ru

- prefer_old: False

- long_pair: vie-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-fi-lu

* source languages: fi
* target languages: lu
*  OPUS readme: [fi-lu](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fi-lu/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-lu/opus-2020-01-08.zip)
* test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-lu/opus-2020-01-08.test.txt)
* test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-lu/opus-2020-01-08.eval.txt)

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.fi.lu 	| 22.9 	| 0.475 |


---
language:
- ja
- tr

tags:
- translation

license: apache-2.0
---

### jpn-tur

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

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

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.jpn.tur 	| 16.7 	| 0.434 |

### System Info:
- hf_name: jpn-tur

- source_languages: jpn

- target_languages: tur

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

- original_repo: Tatoeba-Challenge

- tags: ['translation']

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

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

- tgt_constituents: {'tur'}

- src_multilingual: False

- tgt_multilingual: False

- prepro:  normalization + SentencePiece (spm32k,spm32k)

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

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

- src_alpha3: jpn

- tgt_alpha3: tur

- short_pair: ja-tr

- chrF2_score: 0.434

- bleu: 16.7

- brevity_penalty: 0.932

- ref_len: 4755.0

- src_name: Japanese

- tgt_name: Turkish

- train_date: 2020-06-17

- src_alpha2: ja

- tgt_alpha2: tr

- prefer_old: False

- long_pair: jpn-tur

- 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-lg

* source languages: fi
* target languages: lg
*  OPUS readme: [fi-lg](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fi-lg/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-lg/opus-2020-01-24.zip)
* test set translations: [opus-2020-01-24.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-lg/opus-2020-01-24.test.txt)
* test set scores: [opus-2020-01-24.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-lg/opus-2020-01-24.eval.txt)

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.fi.lg 	| 21.7 	| 0.473 |


---
language:
- it
- ca
- rm
- es
- ro
- gl
- sc
- co
- wa
- pt
- oc
- an
- id
- fr
- ht
- itc

tags:
- translation

license: apache-2.0
---

### itc-itc

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

*  model: transformer
* source language(s): arg ast bjn cat cos egl fra frm_Latn gcf_Latn glg hat ind ita lad lad_Latn lat_Grek lat_Latn lij lld_Latn lmo mwl oci pap pcd pms por roh ron scn spa srd vec wln zsm_Latn
* target language(s): arg ast bjn cat cos egl fra frm_Latn gcf_Latn glg hat ind ita lad lad_Latn lat_Grek lat_Latn lij lld_Latn lmo mwl oci pap pcd pms por roh ron scn spa srd vec wln zsm_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: [opus-2020-07-07.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/itc-itc/opus-2020-07-07.zip)
* test set translations: [opus-2020-07-07.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/itc-itc/opus-2020-07-07.test.txt)
* test set scores: [opus-2020-07-07.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/itc-itc/opus-2020-07-07.eval.txt)

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.arg-fra.arg.fra 	| 40.8 	| 0.501 |
| Tatoeba-test.arg-spa.arg.spa 	| 59.9 	| 0.739 |
| Tatoeba-test.ast-fra.ast.fra 	| 45.4 	| 0.628 |
| Tatoeba-test.ast-por.ast.por 	| 100.0 	| 1.000 |
| Tatoeba-test.ast-spa.ast.spa 	| 46.8 	| 0.636 |
| Tatoeba-test.cat-fra.cat.fra 	| 51.6 	| 0.689 |
| Tatoeba-test.cat-ita.cat.ita 	| 49.2 	| 0.699 |
| Tatoeba-test.cat-por.cat.por 	| 48.0 	| 0.688 |
| Tatoeba-test.cat-ron.cat.ron 	| 35.4 	| 0.719 |
| Tatoeba-test.cat-spa.cat.spa 	| 69.0 	| 0.826 |
| Tatoeba-test.cos-fra.cos.fra 	| 22.3 	| 0.383 |
| Tatoeba-test.cos-pms.cos.pms 	| 3.4 	| 0.199 |
| Tatoeba-test.egl-fra.egl.fra 	| 9.5 	| 0.283 |
| Tatoeba-test.egl-ita.egl.ita 	| 3.0 	| 0.206 |
| Tatoeba-test.egl-spa.egl.spa 	| 3.7 	| 0.194 |
| Tatoeba-test.fra-arg.fra.arg 	| 3.8 	| 0.090 |
| Tatoeba-test.fra-ast.fra.ast 	| 25.9 	| 0.457 |
| Tatoeba-test.fra-cat.fra.cat 	| 42.2 	| 0.637 |
| Tatoeba-test.fra-cos.fra.cos 	| 3.3 	| 0.185 |
| Tatoeba-test.fra-egl.fra.egl 	| 2.2 	| 0.120 |
| Tatoeba-test.fra-frm.fra.frm 	| 1.0 	| 0.191 |
| Tatoeba-test.fra-gcf.fra.gcf 	| 0.2 	| 0.099 |
| Tatoeba-test.fra-glg.fra.glg 	| 40.5 	| 0.625 |
| Tatoeba-test.fra-hat.fra.hat 	| 22.6 	| 0.472 |
| Tatoeba-test.fra-ita.fra.ita 	| 46.7 	| 0.679 |
| Tatoeba-test.fra-lad.fra.lad 	| 15.9 	| 0.345 |
| Tatoeba-test.fra-lat.fra.lat 	| 2.9 	| 0.247 |
| Tatoeba-test.fra-lij.fra.lij 	| 1.0 	| 0.201 |
| Tatoeba-test.fra-lld.fra.lld 	| 1.1 	| 0.257 |
| Tatoeba-test.fra-lmo.fra.lmo 	| 1.2 	| 0.241 |
| Tatoeba-test.fra-msa.fra.msa 	| 0.4 	| 0.111 |
| Tatoeba-test.fra-oci.fra.oci 	| 7.3 	| 0.322 |
| Tatoeba-test.fra-pap.fra.pap 	| 69.8 	| 0.912 |
| Tatoeba-test.fra-pcd.fra.pcd 	| 0.6 	| 0.144 |
| Tatoeba-test.fra-pms.fra.pms 	| 1.0 	| 0.181 |
| Tatoeba-test.fra-por.fra.por 	| 39.7 	| 0.619 |
| Tatoeba-test.fra-roh.fra.roh 	| 5.7 	| 0.286 |
| Tatoeba-test.fra-ron.fra.ron 	| 36.4 	| 0.591 |
| Tatoeba-test.fra-scn.fra.scn 	| 2.1 	| 0.101 |
| Tatoeba-test.fra-spa.fra.spa 	| 47.5 	| 0.670 |
| Tatoeba-test.fra-srd.fra.srd 	| 2.8 	| 0.306 |
| Tatoeba-test.fra-vec.fra.vec 	| 3.0 	| 0.345 |
| Tatoeba-test.fra-wln.fra.wln 	| 3.5 	| 0.212 |
| Tatoeba-test.frm-fra.frm.fra 	| 11.4 	| 0.472 |
| Tatoeba-test.gcf-fra.gcf.fra 	| 7.1 	| 0.267 |
| Tatoeba-test.gcf-lad.gcf.lad 	| 0.0 	| 0.170 |
| Tatoeba-test.gcf-por.gcf.por 	| 0.0 	| 0.230 |
| Tatoeba-test.gcf-spa.gcf.spa 	| 13.4 	| 0.314 |
| Tatoeba-test.glg-fra.glg.fra 	| 54.7 	| 0.702 |
| Tatoeba-test.glg-ita.glg.ita 	| 40.1 	| 0.661 |
| Tatoeba-test.glg-por.glg.por 	| 57.6 	| 0.748 |
| Tatoeba-test.glg-spa.glg.spa 	| 70.0 	| 0.817 |
| Tatoeba-test.hat-fra.hat.fra 	| 14.2 	| 0.419 |
| Tatoeba-test.hat-spa.hat.spa 	| 17.9 	| 0.449 |
| Tatoeba-test.ita-cat.ita.cat 	| 51.0 	| 0.693 |
| Tatoeba-test.ita-egl.ita.egl 	| 1.1 	| 0.114 |
| Tatoeba-test.ita-fra.ita.fra 	| 58.2 	| 0.727 |
| Tatoeba-test.ita-glg.ita.glg 	| 41.7 	| 0.652 |
| Tatoeba-test.ita-lad.ita.lad 	| 17.5 	| 0.419 |
| Tatoeba-test.ita-lat.ita.lat 	| 7.1 	| 0.294 |
| Tatoeba-test.ita-lij.ita.lij 	| 1.0 	| 0.208 |
| Tatoeba-test.ita-msa.ita.msa 	| 0.9 	| 0.115 |
| Tatoeba-test.ita-oci.ita.oci 	| 12.3 	| 0.378 |
| Tatoeba-test.ita-pms.ita.pms 	| 1.6 	| 0.182 |
| Tatoeba-test.ita-por.ita.por 	| 44.8 	| 0.665 |
| Tatoeba-test.ita-ron.ita.ron 	| 43.3 	| 0.653 |
| Tatoeba-test.ita-spa.ita.spa 	| 56.6 	| 0.733 |
| Tatoeba-test.ita-vec.ita.vec 	| 2.0 	| 0.187 |
| Tatoeba-test.lad-fra.lad.fra 	| 30.4 	| 0.458 |
| Tatoeba-test.lad-gcf.lad.gcf 	| 0.0 	| 0.163 |
| Tatoeba-test.lad-ita.lad.ita 	| 12.3 	| 0.426 |
| Tatoeba-test.lad-lat.lad.lat 	| 1.6 	| 0.178 |
| Tatoeba-test.lad-por.lad.por 	| 8.8 	| 0.394 |
| Tatoeba-test.lad-ron.lad.ron 	| 78.3 	| 0.717 |
| Tatoeba-test.lad-spa.lad.spa 	| 28.3 	| 0.531 |
| Tatoeba-test.lat-fra.lat.fra 	| 9.4 	| 0.300 |
| Tatoeba-test.lat-ita.lat.ita 	| 20.0 	| 0.421 |
| Tatoeba-test.lat-lad.lat.lad 	| 3.8 	| 0.173 |
| Tatoeba-test.lat-por.lat.por 	| 13.0 	| 0.354 |
| Tatoeba-test.lat-ron.lat.ron 	| 14.0 	| 0.358 |
| Tatoeba-test.lat-spa.lat.spa 	| 21.8 	| 0.436 |
| Tatoeba-test.lij-fra.lij.fra 	| 13.8 	| 0.346 |
| Tatoeba-test.lij-ita.lij.ita 	| 14.7 	| 0.442 |
| Tatoeba-test.lld-fra.lld.fra 	| 18.8 	| 0.428 |
| Tatoeba-test.lld-spa.lld.spa 	| 11.1 	| 0.377 |
| Tatoeba-test.lmo-fra.lmo.fra 	| 11.0 	| 0.329 |
| Tatoeba-test.msa-fra.msa.fra 	| 0.8 	| 0.129 |
| Tatoeba-test.msa-ita.msa.ita 	| 1.1 	| 0.138 |
| Tatoeba-test.msa-msa.msa.msa 	| 19.1 	| 0.453 |
| Tatoeba-test.msa-pap.msa.pap 	| 0.0 	| 0.037 |
| Tatoeba-test.msa-por.msa.por 	| 2.4 	| 0.155 |
| Tatoeba-test.msa-ron.msa.ron 	| 1.2 	| 0.129 |
| Tatoeba-test.msa-spa.msa.spa 	| 1.0 	| 0.139 |
| Tatoeba-test.multi.multi 	| 40.8 	| 0.599 |
| Tatoeba-test.mwl-por.mwl.por 	| 35.4 	| 0.561 |
| Tatoeba-test.oci-fra.oci.fra 	| 24.5 	| 0.467 |
| Tatoeba-test.oci-ita.oci.ita 	| 23.3 	| 0.493 |
| Tatoeba-test.oci-spa.oci.spa 	| 26.1 	| 0.505 |
| Tatoeba-test.pap-fra.pap.fra 	| 31.0 	| 0.629 |
| Tatoeba-test.pap-msa.pap.msa 	| 0.0 	| 0.051 |
| Tatoeba-test.pcd-fra.pcd.fra 	| 13.8 	| 0.381 |
| Tatoeba-test.pcd-spa.pcd.spa 	| 2.6 	| 0.227 |
| Tatoeba-test.pms-cos.pms.cos 	| 3.4 	| 0.217 |
| Tatoeba-test.pms-fra.pms.fra 	| 13.4 	| 0.347 |
| Tatoeba-test.pms-ita.pms.ita 	| 13.0 	| 0.373 |
| Tatoeba-test.pms-spa.pms.spa 	| 13.1 	| 0.374 |
| Tatoeba-test.por-ast.por.ast 	| 100.0 	| 1.000 |
| Tatoeba-test.por-cat.por.cat 	| 45.1 	| 0.673 |
| Tatoeba-test.por-fra.por.fra 	| 52.5 	| 0.698 |
| Tatoeba-test.por-gcf.por.gcf 	| 16.0 	| 0.128 |
| Tatoeba-test.por-glg.por.glg 	| 57.5 	| 0.750 |
| Tatoeba-test.por-ita.por.ita 	| 50.1 	| 0.710 |
| Tatoeba-test.por-lad.por.lad 	| 15.7 	| 0.341 |
| Tatoeba-test.por-lat.por.lat 	| 11.1 	| 0.362 |
| Tatoeba-test.por-msa.por.msa 	| 2.4 	| 0.136 |
| Tatoeba-test.por-mwl.por.mwl 	| 30.5 	| 0.559 |
| Tatoeba-test.por-roh.por.roh 	| 0.0 	| 0.132 |
| Tatoeba-test.por-ron.por.ron 	| 40.0 	| 0.632 |
| Tatoeba-test.por-spa.por.spa 	| 58.6 	| 0.756 |
| Tatoeba-test.roh-fra.roh.fra 	| 23.1 	| 0.564 |
| Tatoeba-test.roh-por.roh.por 	| 21.4 	| 0.347 |
| Tatoeba-test.roh-spa.roh.spa 	| 19.8 	| 0.489 |
| Tatoeba-test.ron-cat.ron.cat 	| 59.5 	| 0.854 |
| Tatoeba-test.ron-fra.ron.fra 	| 47.4 	| 0.647 |
| Tatoeba-test.ron-ita.ron.ita 	| 45.7 	| 0.683 |
| Tatoeba-test.ron-lad.ron.lad 	| 44.2 	| 0.712 |
| Tatoeba-test.ron-lat.ron.lat 	| 14.8 	| 0.449 |
| Tatoeba-test.ron-msa.ron.msa 	| 1.2 	| 0.098 |
| Tatoeba-test.ron-por.ron.por 	| 42.7 	| 0.650 |
| Tatoeba-test.ron-spa.ron.spa 	| 50.4 	| 0.686 |
| Tatoeba-test.scn-fra.scn.fra 	| 2.4 	| 0.180 |
| Tatoeba-test.scn-spa.scn.spa 	| 5.1 	| 0.212 |
| Tatoeba-test.spa-arg.spa.arg 	| 10.8 	| 0.267 |
| Tatoeba-test.spa-ast.spa.ast 	| 24.6 	| 0.514 |
| Tatoeba-test.spa-cat.spa.cat 	| 61.6 	| 0.783 |
| Tatoeba-test.spa-egl.spa.egl 	| 2.2 	| 0.106 |
| Tatoeba-test.spa-fra.spa.fra 	| 51.1 	| 0.683 |
| Tatoeba-test.spa-gcf.spa.gcf 	| 7.8 	| 0.067 |
| Tatoeba-test.spa-glg.spa.glg 	| 62.8 	| 0.776 |
| Tatoeba-test.spa-hat.spa.hat 	| 16.6 	| 0.398 |
| Tatoeba-test.spa-ita.spa.ita 	| 51.8 	| 0.718 |
| Tatoeba-test.spa-lad.spa.lad 	| 14.6 	| 0.393 |
| Tatoeba-test.spa-lat.spa.lat 	| 21.5 	| 0.486 |
| Tatoeba-test.spa-lld.spa.lld 	| 2.0 	| 0.222 |
| Tatoeba-test.spa-msa.spa.msa 	| 0.8 	| 0.113 |
| Tatoeba-test.spa-oci.spa.oci 	| 10.3 	| 0.377 |
| Tatoeba-test.spa-pcd.spa.pcd 	| 0.9 	| 0.115 |
| Tatoeba-test.spa-pms.spa.pms 	| 1.5 	| 0.194 |
| Tatoeba-test.spa-por.spa.por 	| 49.4 	| 0.698 |
| Tatoeba-test.spa-roh.spa.roh 	| 4.6 	| 0.261 |
| Tatoeba-test.spa-ron.spa.ron 	| 39.1 	| 0.618 |
| Tatoeba-test.spa-scn.spa.scn 	| 2.0 	| 0.113 |
| Tatoeba-test.spa-wln.spa.wln 	| 8.7 	| 0.295 |
| Tatoeba-test.srd-fra.srd.fra 	| 6.7 	| 0.369 |
| Tatoeba-test.vec-fra.vec.fra 	| 59.9 	| 0.608 |
| Tatoeba-test.vec-ita.vec.ita 	| 14.2 	| 0.405 |
| Tatoeba-test.wln-fra.wln.fra 	| 8.9 	| 0.344 |
| Tatoeba-test.wln-spa.wln.spa 	| 9.6 	| 0.298 |

### System Info:
- hf_name: itc-itc

- source_languages: itc

- target_languages: itc

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

- original_repo: Tatoeba-Challenge

- tags: ['translation']

- languages: ['it', 'ca', 'rm', 'es', 'ro', 'gl', 'sc', 'co', 'wa', 'pt', 'oc', 'an', 'id', 'fr', 'ht', 'itc']

- src_constituents: {'ita', 'cat', 'roh', 'spa', 'pap', 'bjn', 'lmo', 'mwl', 'lij', 'lat_Latn', 'lad_Latn', 'pcd', 'lat_Grek', 'ext', 'ron', 'ast', 'glg', 'pms', 'zsm_Latn', 'srd', 'gcf_Latn', 'lld_Latn', 'min', 'tmw_Latn', 'cos', 'wln', 'zlm_Latn', 'por', 'egl', 'oci', 'vec', 'arg', 'ind', 'fra', 'hat', 'lad', 'max_Latn', 'frm_Latn', 'scn', 'mfe'}

- tgt_constituents: {'ita', 'cat', 'roh', 'spa', 'pap', 'bjn', 'lmo', 'mwl', 'lij', 'lat_Latn', 'lad_Latn', 'pcd', 'lat_Grek', 'ext', 'ron', 'ast', 'glg', 'pms', 'zsm_Latn', 'srd', 'gcf_Latn', 'lld_Latn', 'min', 'tmw_Latn', 'cos', 'wln', 'zlm_Latn', 'por', 'egl', 'oci', 'vec', 'arg', 'ind', 'fra', 'hat', 'lad', 'max_Latn', 'frm_Latn', 'scn', 'mfe'}

- src_multilingual: True

- tgt_multilingual: True

- prepro:  normalization + SentencePiece (spm32k,spm32k)

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

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

- src_alpha3: itc

- tgt_alpha3: itc

- short_pair: itc-itc

- chrF2_score: 0.599

- bleu: 40.8

- brevity_penalty: 0.968

- ref_len: 77448.0

- src_name: Italic languages

- tgt_name: Italic languages

- train_date: 2020-07-07

- src_alpha2: itc

- tgt_alpha2: itc

- prefer_old: False

- long_pair: itc-itc

- 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-efi

* source languages: de
* target languages: efi
*  OPUS readme: [de-efi](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/de-efi/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-efi/opus-2020-01-20.zip)
* test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-efi/opus-2020-01-20.test.txt)
* test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-efi/opus-2020-01-20.eval.txt)

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.de.efi 	| 24.2 	| 0.451 |


---
language:
- de
- tl

tags:
- translation

license: apache-2.0
---

### deu-tgl

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

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

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.deu.tgl 	| 21.2 	| 0.541 |

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

- source_languages: deu

- target_languages: tgl

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

- original_repo: Tatoeba-Challenge

- tags: ['translation']

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

- src_constituents: {'deu'}

- tgt_constituents: {'tgl_Latn'}

- src_multilingual: False

- tgt_multilingual: False

- prepro:  normalization + SentencePiece (spm32k,spm32k)

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

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

- src_alpha3: deu

- tgt_alpha3: tgl

- short_pair: de-tl

- chrF2_score: 0.541

- bleu: 21.2

- brevity_penalty: 1.0

- ref_len: 2329.0

- src_name: German

- tgt_name: Tagalog

- train_date: 2020-06-17

- src_alpha2: de

- tgt_alpha2: tl

- prefer_old: False

- long_pair: deu-tgl

- 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-ig-sv

* source languages: ig
* target languages: sv
*  OPUS readme: [ig-sv](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/ig-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/ig-sv/opus-2020-01-09.zip)
* test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/ig-sv/opus-2020-01-09.test.txt)
* test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/ig-sv/opus-2020-01-09.eval.txt)

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.ig.sv 	| 27.0 	| 0.451 |


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

### opus-mt-sg-fr

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

*  dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-21.zip](https://object.pouta.csc.fi/OPUS-MT-models/sg-fr/opus-2020-01-21.zip)
* test set translations: [opus-2020-01-21.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/sg-fr/opus-2020-01-21.test.txt)
* test set scores: [opus-2020-01-21.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/sg-fr/opus-2020-01-21.eval.txt)

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.sg.fr 	| 24.9 	| 0.420 |


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

### opus-mt-gil-fr

* source languages: gil
* target languages: fr
*  OPUS readme: [gil-fr](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/gil-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/gil-fr/opus-2020-01-09.zip)
* test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/gil-fr/opus-2020-01-09.test.txt)
* test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/gil-fr/opus-2020-01-09.eval.txt)

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.gil.fr 	| 24.9 	| 0.424 |


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

### opus-mt-sm-es

* source languages: sm
* target languages: es
*  OPUS readme: [sm-es](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/sm-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/sm-es/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/sm-es/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/sm-es/opus-2020-01-16.eval.txt)

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.sm.es 	| 21.3 	| 0.390 |


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

### opus-mt-iso-fr

* source languages: iso
* target languages: fr
*  OPUS readme: [iso-fr](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/iso-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/iso-fr/opus-2020-01-09.zip)
* test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/iso-fr/opus-2020-01-09.test.txt)
* test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/iso-fr/opus-2020-01-09.eval.txt)

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.iso.fr 	| 25.6 	| 0.422 |


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

### opus-mt-sv-mos

* source languages: sv
* target languages: mos
*  OPUS readme: [sv-mos](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/sv-mos/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-mos/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-mos/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-mos/opus-2020-01-16.eval.txt)

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.sv.mos 	| 22.4 	| 0.379 |


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

### opus-mt-es-nso

* source languages: es
* target languages: nso
*  OPUS readme: [es-nso](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/es-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/es-nso/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-nso/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-nso/opus-2020-01-16.eval.txt)

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.es.nso 	| 33.2 	| 0.531 |


---
language:
- so
- ti
- am
- he
- mt
- ar
- afa

tags:
- translation

license: apache-2.0
---

### afa-afa

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

*  model: transformer
* source language(s): apc ara arq arz heb kab mlt shy_Latn thv
* target language(s): apc ara arq arz heb kab mlt shy_Latn thv
* 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/afa-afa/opus-2020-07-26.zip)
* test set translations: [opus-2020-07-26.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/afa-afa/opus-2020-07-26.test.txt)
* test set scores: [opus-2020-07-26.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/afa-afa/opus-2020-07-26.eval.txt)

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.ara-ara.ara.ara 	| 4.3 	| 0.148 |
| Tatoeba-test.ara-heb.ara.heb 	| 31.9 	| 0.525 |
| Tatoeba-test.ara-kab.ara.kab 	| 0.3 	| 0.120 |
| Tatoeba-test.ara-mlt.ara.mlt 	| 14.0 	| 0.428 |
| Tatoeba-test.ara-shy.ara.shy 	| 1.3 	| 0.050 |
| Tatoeba-test.heb-ara.heb.ara 	| 17.0 	| 0.464 |
| Tatoeba-test.heb-kab.heb.kab 	| 1.9 	| 0.104 |
| Tatoeba-test.kab-ara.kab.ara 	| 0.3 	| 0.044 |
| Tatoeba-test.kab-heb.kab.heb 	| 5.1 	| 0.099 |
| Tatoeba-test.kab-shy.kab.shy 	| 2.2 	| 0.009 |
| Tatoeba-test.kab-tmh.kab.tmh 	| 10.7 	| 0.007 |
| Tatoeba-test.mlt-ara.mlt.ara 	| 29.1 	| 0.498 |
| Tatoeba-test.multi.multi 	| 20.8 	| 0.434 |
| Tatoeba-test.shy-ara.shy.ara 	| 1.2 	| 0.053 |
| Tatoeba-test.shy-kab.shy.kab 	| 2.0 	| 0.134 |
| Tatoeba-test.tmh-kab.tmh.kab 	| 0.0 	| 0.047 |

### System Info:
- hf_name: afa-afa

- source_languages: afa

- target_languages: afa

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

- original_repo: Tatoeba-Challenge

- tags: ['translation']

- languages: ['so', 'ti', 'am', 'he', 'mt', 'ar', 'afa']

- src_constituents: {'som', 'rif_Latn', 'tir', 'kab', 'arq', 'afb', 'amh', 'arz', 'heb', 'shy_Latn', 'apc', 'mlt', 'thv', 'ara', 'hau_Latn', 'acm', 'ary'}

- tgt_constituents: {'som', 'rif_Latn', 'tir', 'kab', 'arq', 'afb', 'amh', 'arz', 'heb', 'shy_Latn', 'apc', 'mlt', 'thv', 'ara', 'hau_Latn', 'acm', 'ary'}

- src_multilingual: True

- tgt_multilingual: True

- prepro:  normalization + SentencePiece (spm32k,spm32k)

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

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

- src_alpha3: afa

- tgt_alpha3: afa

- short_pair: afa-afa

- chrF2_score: 0.434

- bleu: 20.8

- brevity_penalty: 1.0

- ref_len: 15215.0

- src_name: Afro-Asiatic languages

- tgt_name: Afro-Asiatic languages

- train_date: 2020-07-26

- src_alpha2: afa

- tgt_alpha2: afa

- prefer_old: False

- long_pair: afa-afa

- 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-it

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

*  dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-29.zip](https://object.pouta.csc.fi/OPUS-MT-models/es-it/opus-2020-01-29.zip)
* test set translations: [opus-2020-01-29.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-it/opus-2020-01-29.test.txt)
* test set scores: [opus-2020-01-29.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-it/opus-2020-01-29.eval.txt)

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba.es.it 	| 55.9 	| 0.751 |


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

### opus-mt-es-sn

* source languages: es
* target languages: sn
*  OPUS readme: [es-sn](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/es-sn/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-sn/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-sn/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-sn/opus-2020-01-16.eval.txt)

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.es.sn 	| 23.6 	| 0.528 |


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

### opus-mt-fi-pag

* source languages: fi
* target languages: pag
*  OPUS readme: [fi-pag](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fi-pag/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-pag/opus-2020-01-24.zip)
* test set translations: [opus-2020-01-24.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-pag/opus-2020-01-24.test.txt)
* test set scores: [opus-2020-01-24.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-pag/opus-2020-01-24.eval.txt)

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.fi.pag 	| 28.0 	| 0.510 |


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

### opus-mt-fi-ho

* source languages: fi
* target languages: ho
*  OPUS readme: [fi-ho](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fi-ho/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-ho/opus-2020-01-08.zip)
* test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-ho/opus-2020-01-08.test.txt)
* test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-ho/opus-2020-01-08.eval.txt)

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.fi.ho 	| 25.7 	| 0.496 |


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

### opus-mt-fr-ig

* source languages: fr
* target languages: ig
*  OPUS readme: [fr-ig](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-ig/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-ig/opus-2020-01-09.zip)
* test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-ig/opus-2020-01-09.test.txt)
* test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-ig/opus-2020-01-09.eval.txt)

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.fr.ig 	| 29.0 	| 0.445 |


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

### opus-mt-nso-sv

* source languages: nso
* target languages: sv
*  OPUS readme: [nso-sv](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/nso-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/nso-sv/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/nso-sv/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/nso-sv/opus-2020-01-16.eval.txt)

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.nso.sv 	| 34.3 	| 0.527 |


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

### opus-mt-sv-id

* source languages: sv
* target languages: id
*  OPUS readme: [sv-id](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/sv-id/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-id/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-id/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-id/opus-2020-01-16.eval.txt)

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.sv.id 	| 35.6 	| 0.581 |


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

### opus-mt-es-wls

* source languages: es
* target languages: wls
*  OPUS readme: [es-wls](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/es-wls/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-wls/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-wls/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-wls/opus-2020-01-16.eval.txt)

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.es.wls 	| 22.9 	| 0.437 |


---
language:
- ar
- pl

tags:
- translation

license: apache-2.0
---

### ara-pol

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

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

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.ara.pol 	| 38.0 	| 0.623 |

### System Info:
- hf_name: ara-pol

- source_languages: ara

- target_languages: pol

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

- original_repo: Tatoeba-Challenge

- tags: ['translation']

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

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

- tgt_constituents: {'pol'}

- src_multilingual: False

- tgt_multilingual: False

- prepro:  normalization + SentencePiece (spm32k,spm32k)

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

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

- src_alpha3: ara

- tgt_alpha3: pol

- short_pair: ar-pl

- chrF2_score: 0.623

- bleu: 38.0

- brevity_penalty: 0.948

- ref_len: 1171.0

- src_name: Arabic

- tgt_name: Polish

- train_date: 2020-07-03

- src_alpha2: ar

- tgt_alpha2: pl

- prefer_old: False

- long_pair: ara-pol

- 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-ee-de

* source languages: ee
* target languages: de
*  OPUS readme: [ee-de](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/ee-de/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/ee-de/opus-2020-01-20.zip)
* test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/ee-de/opus-2020-01-20.test.txt)
* test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/ee-de/opus-2020-01-20.eval.txt)

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.ee.de 	| 22.3 	| 0.430 |


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

### opus-mt-af-fi

* source languages: af
* target languages: fi
*  OPUS readme: [af-fi](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/af-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/af-fi/opus-2020-01-08.zip)
* test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/af-fi/opus-2020-01-08.test.txt)
* test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/af-fi/opus-2020-01-08.eval.txt)

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.af.fi 	| 32.3 	| 0.576 |


---
language:
- es
- tl

tags:
- translation

license: apache-2.0
---

### spa-tgl

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

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

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.spa.tgl 	| 24.7 	| 0.538 |

### System Info:
- hf_name: spa-tgl

- source_languages: spa

- target_languages: tgl

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

- original_repo: Tatoeba-Challenge

- tags: ['translation']

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

- src_constituents: {'spa'}

- tgt_constituents: {'tgl_Latn'}

- src_multilingual: False

- tgt_multilingual: False

- prepro:  normalization + SentencePiece (spm32k,spm32k)

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

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

- src_alpha3: spa

- tgt_alpha3: tgl

- short_pair: es-tl

- chrF2_score: 0.5379999999999999

- bleu: 24.7

- brevity_penalty: 1.0

- ref_len: 4422.0

- src_name: Spanish

- tgt_name: Tagalog

- train_date: 2020-06-17

- src_alpha2: es

- tgt_alpha2: tl

- prefer_old: False

- long_pair: spa-tgl

- 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-gaa

* source languages: fr
* target languages: gaa
*  OPUS readme: [fr-gaa](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-gaa/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-gaa/opus-2020-01-09.zip)
* test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-gaa/opus-2020-01-09.test.txt)
* test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-gaa/opus-2020-01-09.eval.txt)

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.fr.gaa 	| 27.8 	| 0.473 |


---
language:
- gd
- ga
- br
- kw
- gv
- cy
- cel
- en

tags:
- translation

license: apache-2.0
---

### cel-eng

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

*  model: transformer
* source language(s): bre cor cym gla gle glv
* target language(s): eng
* model: transformer
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* download original weights: [opus2m-2020-07-31.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/cel-eng/opus2m-2020-07-31.zip)
* test set translations: [opus2m-2020-07-31.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/cel-eng/opus2m-2020-07-31.test.txt)
* test set scores: [opus2m-2020-07-31.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/cel-eng/opus2m-2020-07-31.eval.txt)

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.bre-eng.bre.eng 	| 17.2 	| 0.385 |
| Tatoeba-test.cor-eng.cor.eng 	| 3.0 	| 0.172 |
| Tatoeba-test.cym-eng.cym.eng 	| 41.5 	| 0.582 |
| Tatoeba-test.gla-eng.gla.eng 	| 15.4 	| 0.330 |
| Tatoeba-test.gle-eng.gle.eng 	| 50.8 	| 0.668 |
| Tatoeba-test.glv-eng.glv.eng 	| 11.0 	| 0.297 |
| Tatoeba-test.multi.eng 	| 22.8 	| 0.398 |

### System Info:
- hf_name: cel-eng

- source_languages: cel

- target_languages: eng

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

- original_repo: Tatoeba-Challenge

- tags: ['translation']

- languages: ['gd', 'ga', 'br', 'kw', 'gv', 'cy', 'cel', 'en']

- src_constituents: {'gla', 'gle', 'bre', 'cor', 'glv', 'cym'}

- tgt_constituents: {'eng'}

- src_multilingual: True

- tgt_multilingual: False

- prepro:  normalization + SentencePiece (spm32k,spm32k)

- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/cel-eng/opus2m-2020-07-31.zip

- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/cel-eng/opus2m-2020-07-31.test.txt

- src_alpha3: cel

- tgt_alpha3: eng

- short_pair: cel-en

- chrF2_score: 0.39799999999999996

- bleu: 22.8

- brevity_penalty: 1.0

- ref_len: 42097.0

- src_name: Celtic languages

- tgt_name: English

- train_date: 2020-07-31

- src_alpha2: cel

- tgt_alpha2: en

- prefer_old: False

- long_pair: cel-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-uk-en

* source languages: uk
* target languages: en
*  OPUS readme: [uk-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/uk-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/uk-en/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/uk-en/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/uk-en/opus-2020-01-16.eval.txt)

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba.uk.en 	| 64.1 	| 0.757 |


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

### opus-mt-en-ho

* source languages: en
* target languages: ho
*  OPUS readme: [en-ho](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-ho/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/en-ho/opus-2020-01-20.zip)
* test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-ho/opus-2020-01-20.test.txt)
* test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-ho/opus-2020-01-20.eval.txt)

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.en.ho 	| 33.9 	| 0.563 |


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

### opus-mt-en-rnd

* source languages: en
* target languages: rnd
*  OPUS readme: [en-rnd](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-rnd/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-rnd/opus-2020-01-08.zip)
* test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-rnd/opus-2020-01-08.test.txt)
* test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-rnd/opus-2020-01-08.eval.txt)

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.en.rnd 	| 34.5 	| 0.571 |


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

### opus-mt-sl-fi

* source languages: sl
* target languages: fi
*  OPUS readme: [sl-fi](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/sl-fi/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/sl-fi/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/sl-fi/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/sl-fi/opus-2020-01-16.eval.txt)

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.sl.fi 	| 23.4 	| 0.517 |


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

tags:
- translation

license: apache-2.0
---

### gmq-eng

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

*  model: transformer
* source language(s): dan fao isl nno nob nob_Hebr non_Latn swe
* target language(s): eng
* model: transformer
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* download original weights: [opus2m-2020-07-26.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/gmq-eng/opus2m-2020-07-26.zip)
* test set translations: [opus2m-2020-07-26.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/gmq-eng/opus2m-2020-07-26.test.txt)
* test set scores: [opus2m-2020-07-26.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/gmq-eng/opus2m-2020-07-26.eval.txt)

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.multi.eng 	| 58.1 	| 0.720 |

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

- source_languages: gmq

- target_languages: eng

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

- original_repo: Tatoeba-Challenge

- tags: ['translation']

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

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

- tgt_constituents: {'eng'}

- src_multilingual: True

- tgt_multilingual: False

- prepro:  normalization + SentencePiece (spm32k,spm32k)

- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/gmq-eng/opus2m-2020-07-26.zip

- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/gmq-eng/opus2m-2020-07-26.test.txt

- src_alpha3: gmq

- tgt_alpha3: eng

- short_pair: gmq-en

- chrF2_score: 0.72

- bleu: 58.1

- brevity_penalty: 0.982

- ref_len: 72641.0

- src_name: North Germanic languages

- tgt_name: English

- train_date: 2020-07-26

- src_alpha2: gmq

- tgt_alpha2: en

- prefer_old: False

- long_pair: gmq-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-fi-tr

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

*  dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-04-12.zip](https://object.pouta.csc.fi/OPUS-MT-models/fi-tr/opus-2020-04-12.zip)
* test set translations: [opus-2020-04-12.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-tr/opus-2020-04-12.test.txt)
* test set scores: [opus-2020-04-12.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-tr/opus-2020-04-12.eval.txt)

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba.fi.tr 	| 31.6 	| 0.619 |


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

### opus-mt-sv-yap

* source languages: sv
* target languages: yap
*  OPUS readme: [sv-yap](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/sv-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/sv-yap/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-yap/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-yap/opus-2020-01-16.eval.txt)

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.sv.yap 	| 27.3 	| 0.461 |


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

### opus-mt-de-it

* source languages: de
* target languages: it
*  OPUS readme: [de-it](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/de-it/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-it/opus-2020-01-20.zip)
* test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-it/opus-2020-01-20.test.txt)
* test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-it/opus-2020-01-20.eval.txt)

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba.de.it 	| 45.3 	| 0.671 |


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

### opus-mt-ceb-es

* source languages: ceb
* target languages: es
*  OPUS readme: [ceb-es](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/ceb-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/ceb-es/opus-2020-01-15.zip)
* test set translations: [opus-2020-01-15.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/ceb-es/opus-2020-01-15.test.txt)
* test set scores: [opus-2020-01-15.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/ceb-es/opus-2020-01-15.eval.txt)

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.ceb.es 	| 31.6 	| 0.508 |


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

### opus-mt-en-id

* source languages: en
* target languages: id
*  OPUS readme: [en-id](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-id/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/en-id/opus-2019-12-18.zip)
* test set translations: [opus-2019-12-18.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-id/opus-2019-12-18.test.txt)
* test set scores: [opus-2019-12-18.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-id/opus-2019-12-18.eval.txt)

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba.en.id 	| 38.3 	| 0.636 |


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

### opus-mt-iso-es

* source languages: iso
* target languages: es
*  OPUS readme: [iso-es](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/iso-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/iso-es/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/iso-es/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/iso-es/opus-2020-01-16.eval.txt)

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.iso.es 	| 22.4 	| 0.394 |