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

### opus-mt-et-fr

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

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.et.fr 	| 26.2 	| 0.484 |


---
language:
- ru
- lt

tags:
- translation

license: apache-2.0
---

### rus-lit

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

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

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.rus.lit 	| 43.5 	| 0.675 |

### System Info:
- hf_name: rus-lit

- source_languages: rus

- target_languages: lit

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

- original_repo: Tatoeba-Challenge

- tags: ['translation']

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

- src_constituents: {'rus'}

- tgt_constituents: {'lit'}

- src_multilingual: False

- tgt_multilingual: False

- prepro:  normalization + SentencePiece (spm32k,spm32k)

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

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

- src_alpha3: rus

- tgt_alpha3: lit

- short_pair: ru-lt

- chrF2_score: 0.675

- bleu: 43.5

- brevity_penalty: 0.937

- ref_len: 14406.0

- src_name: Russian

- tgt_name: Lithuanian

- train_date: 2020-06-17

- src_alpha2: ru

- tgt_alpha2: lt

- prefer_old: False

- long_pair: rus-lit

- 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-ro-fr

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

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba.ro.fr 	| 54.5 	| 0.697 |


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

### opus-mt-pis-fr

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

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.pis.fr 	| 24.9 	| 0.421 |


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

### opus-mt-sv-bzs

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

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.sv.bzs 	| 29.4 	| 0.484 |


---
language:
- eo
- da

tags:
- translation

license: apache-2.0
---

### epo-dan

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

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

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.epo.dan 	| 21.6 	| 0.407 |

### System Info:
- hf_name: epo-dan

- source_languages: epo

- target_languages: dan

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

- original_repo: Tatoeba-Challenge

- tags: ['translation']

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

- src_constituents: {'epo'}

- tgt_constituents: {'dan'}

- src_multilingual: False

- tgt_multilingual: False

- prepro:  normalization + SentencePiece (spm4k,spm4k)

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

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

- src_alpha3: epo

- tgt_alpha3: dan

- short_pair: eo-da

- chrF2_score: 0.40700000000000003

- bleu: 21.6

- brevity_penalty: 0.9359999999999999

- ref_len: 72349.0

- src_name: Esperanto

- tgt_name: Danish

- train_date: 2020-06-16

- src_alpha2: eo

- tgt_alpha2: da

- prefer_old: False

- long_pair: epo-dan

- 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-lua-sv

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

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.lua.sv 	| 25.7 	| 0.437 |


---
language:
- af
- ru

tags:
- translation

license: apache-2.0
---

### afr-rus

* 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-2020-06-17.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/afr-rus/opus-2020-06-17.zip)
* test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/afr-rus/opus-2020-06-17.test.txt)
* test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/afr-rus/opus-2020-06-17.eval.txt)

## Benchmarks

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

### System Info:
- hf_name: afr-rus

- 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: {'afr'}

- tgt_constituents: {'rus'}

- src_multilingual: False

- tgt_multilingual: False

- prepro:  normalization + SentencePiece (spm32k,spm32k)

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

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

- src_alpha3: afr

- tgt_alpha3: rus

- short_pair: af-ru

- chrF2_score: 0.58

- bleu: 38.2

- brevity_penalty: 0.992

- ref_len: 1213.0

- src_name: Afrikaans

- tgt_name: Russian

- train_date: 2020-06-17

- src_alpha2: af

- tgt_alpha2: ru

- prefer_old: False

- long_pair: afr-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-ase-en

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

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.ase.en 	| 99.5 	| 0.997 |


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

### opus-mt-mfe-es

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

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.mfe.es 	| 24.0 	| 0.418 |


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

### opus-mt-es-fr

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

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| newssyscomb2009.es.fr 	| 33.6 	| 0.610 |
| news-test2008.es.fr 	| 32.0 	| 0.585 |
| newstest2009.es.fr 	| 32.5 	| 0.590 |
| newstest2010.es.fr 	| 35.0 	| 0.615 |
| newstest2011.es.fr 	| 33.9 	| 0.607 |
| newstest2012.es.fr 	| 32.4 	| 0.602 |
| newstest2013.es.fr 	| 32.1 	| 0.593 |
| Tatoeba.es.fr 	| 58.4 	| 0.731 |


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

### opus-mt-fi-af

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

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.fi.af 	| 39.3 	| 0.588 |


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

tags:
- translation

license: apache-2.0
---

### eng-roa

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

*  model: transformer
* source language(s): eng
* target language(s): arg ast cat cos egl ext fra frm_Latn gcf_Latn glg hat ind ita lad lad_Latn lij lld_Latn lmo max_Latn mfe min mwl oci pap pms por roh ron scn spa tmw_Latn vec wln zlm_Latn 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: [opus2m-2020-08-01.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-roa/opus2m-2020-08-01.zip)
* test set translations: [opus2m-2020-08-01.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-roa/opus2m-2020-08-01.test.txt)
* test set scores: [opus2m-2020-08-01.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-roa/opus2m-2020-08-01.eval.txt)

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| newsdev2016-enro-engron.eng.ron 	| 27.6 	| 0.567 |
| newsdiscussdev2015-enfr-engfra.eng.fra 	| 30.2 	| 0.575 |
| newsdiscusstest2015-enfr-engfra.eng.fra 	| 35.5 	| 0.612 |
| newssyscomb2009-engfra.eng.fra 	| 27.9 	| 0.570 |
| newssyscomb2009-engita.eng.ita 	| 29.3 	| 0.590 |
| newssyscomb2009-engspa.eng.spa 	| 29.6 	| 0.570 |
| news-test2008-engfra.eng.fra 	| 25.2 	| 0.538 |
| news-test2008-engspa.eng.spa 	| 27.3 	| 0.548 |
| newstest2009-engfra.eng.fra 	| 26.9 	| 0.560 |
| newstest2009-engita.eng.ita 	| 28.7 	| 0.583 |
| newstest2009-engspa.eng.spa 	| 29.0 	| 0.568 |
| newstest2010-engfra.eng.fra 	| 29.3 	| 0.574 |
| newstest2010-engspa.eng.spa 	| 34.2 	| 0.601 |
| newstest2011-engfra.eng.fra 	| 31.4 	| 0.592 |
| newstest2011-engspa.eng.spa 	| 35.0 	| 0.599 |
| newstest2012-engfra.eng.fra 	| 29.5 	| 0.576 |
| newstest2012-engspa.eng.spa 	| 35.5 	| 0.603 |
| newstest2013-engfra.eng.fra 	| 29.9 	| 0.567 |
| newstest2013-engspa.eng.spa 	| 32.1 	| 0.578 |
| newstest2016-enro-engron.eng.ron 	| 26.1 	| 0.551 |
| Tatoeba-test.eng-arg.eng.arg 	| 1.4 	| 0.125 |
| Tatoeba-test.eng-ast.eng.ast 	| 17.8 	| 0.406 |
| Tatoeba-test.eng-cat.eng.cat 	| 48.3 	| 0.676 |
| Tatoeba-test.eng-cos.eng.cos 	| 3.2 	| 0.275 |
| Tatoeba-test.eng-egl.eng.egl 	| 0.2 	| 0.084 |
| Tatoeba-test.eng-ext.eng.ext 	| 11.2 	| 0.344 |
| Tatoeba-test.eng-fra.eng.fra 	| 45.3 	| 0.637 |
| Tatoeba-test.eng-frm.eng.frm 	| 1.1 	| 0.221 |
| Tatoeba-test.eng-gcf.eng.gcf 	| 0.6 	| 0.118 |
| Tatoeba-test.eng-glg.eng.glg 	| 44.2 	| 0.645 |
| Tatoeba-test.eng-hat.eng.hat 	| 28.0 	| 0.502 |
| Tatoeba-test.eng-ita.eng.ita 	| 45.6 	| 0.674 |
| Tatoeba-test.eng-lad.eng.lad 	| 8.2 	| 0.322 |
| Tatoeba-test.eng-lij.eng.lij 	| 1.4 	| 0.182 |
| Tatoeba-test.eng-lld.eng.lld 	| 0.8 	| 0.217 |
| Tatoeba-test.eng-lmo.eng.lmo 	| 0.7 	| 0.190 |
| Tatoeba-test.eng-mfe.eng.mfe 	| 91.9 	| 0.956 |
| Tatoeba-test.eng-msa.eng.msa 	| 31.1 	| 0.548 |
| Tatoeba-test.eng.multi 	| 42.9 	| 0.636 |
| Tatoeba-test.eng-mwl.eng.mwl 	| 2.1 	| 0.234 |
| Tatoeba-test.eng-oci.eng.oci 	| 7.9 	| 0.297 |
| Tatoeba-test.eng-pap.eng.pap 	| 44.1 	| 0.648 |
| Tatoeba-test.eng-pms.eng.pms 	| 2.1 	| 0.190 |
| Tatoeba-test.eng-por.eng.por 	| 41.8 	| 0.639 |
| Tatoeba-test.eng-roh.eng.roh 	| 3.5 	| 0.261 |
| Tatoeba-test.eng-ron.eng.ron 	| 41.0 	| 0.635 |
| Tatoeba-test.eng-scn.eng.scn 	| 1.7 	| 0.184 |
| Tatoeba-test.eng-spa.eng.spa 	| 50.1 	| 0.689 |
| Tatoeba-test.eng-vec.eng.vec 	| 3.2 	| 0.248 |
| Tatoeba-test.eng-wln.eng.wln 	| 7.2 	| 0.220 |

### System Info:
- hf_name: eng-roa

- source_languages: eng

- target_languages: roa

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

- original_repo: Tatoeba-Challenge

- tags: ['translation']

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

- src_constituents: {'eng'}

- tgt_constituents: {'ita', 'cat', 'roh', 'spa', 'pap', 'lmo', 'mwl', 'lij', 'lad_Latn', 'ext', 'ron', 'ast', 'glg', 'pms', 'zsm_Latn', '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: False

- tgt_multilingual: True

- prepro:  normalization + SentencePiece (spm32k,spm32k)

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

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

- src_alpha3: eng

- tgt_alpha3: roa

- short_pair: en-roa

- chrF2_score: 0.636

- bleu: 42.9

- brevity_penalty: 0.978

- ref_len: 72751.0

- src_name: English

- tgt_name: Romance languages

- train_date: 2020-08-01

- src_alpha2: en

- tgt_alpha2: roa

- prefer_old: False

- long_pair: eng-roa

- 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-nso

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

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.fr.nso 	| 33.3 	| 0.527 |


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

### opus-mt-de-ho

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

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.de.ho 	| 22.6 	| 0.461 |


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

### opus-mt-luo-en

* source languages: luo
* target languages: en
*  OPUS readme: [luo-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/luo-en/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/luo-en/opus-2020-01-21.zip)
* test set translations: [opus-2020-01-21.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/luo-en/opus-2020-01-21.test.txt)
* test set scores: [opus-2020-01-21.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/luo-en/opus-2020-01-21.eval.txt)

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.luo.en 	| 29.1 	| 0.452 |


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

### opus-mt-en-ROMANCE

* source languages: en
* target languages: fr,fr_BE,fr_CA,fr_FR,wa,frp,oc,ca,rm,lld,fur,lij,lmo,es,es_AR,es_CL,es_CO,es_CR,es_DO,es_EC,es_ES,es_GT,es_HN,es_MX,es_NI,es_PA,es_PE,es_PR,es_SV,es_UY,es_VE,pt,pt_br,pt_BR,pt_PT,gl,lad,an,mwl,it,it_IT,co,nap,scn,vec,sc,ro,la
*  OPUS readme: [en-fr+fr_BE+fr_CA+fr_FR+wa+frp+oc+ca+rm+lld+fur+lij+lmo+es+es_AR+es_CL+es_CO+es_CR+es_DO+es_EC+es_ES+es_GT+es_HN+es_MX+es_NI+es_PA+es_PE+es_PR+es_SV+es_UY+es_VE+pt+pt_br+pt_BR+pt_PT+gl+lad+an+mwl+it+it_IT+co+nap+scn+vec+sc+ro+la](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-fr+fr_BE+fr_CA+fr_FR+wa+frp+oc+ca+rm+lld+fur+lij+lmo+es+es_AR+es_CL+es_CO+es_CR+es_DO+es_EC+es_ES+es_GT+es_HN+es_MX+es_NI+es_PA+es_PE+es_PR+es_SV+es_UY+es_VE+pt+pt_br+pt_BR+pt_PT+gl+lad+an+mwl+it+it_IT+co+nap+scn+vec+sc+ro+la/README.md)

*  dataset: opus
* model: transformer
* 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-2020-04-21.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-fr+fr_BE+fr_CA+fr_FR+wa+frp+oc+ca+rm+lld+fur+lij+lmo+es+es_AR+es_CL+es_CO+es_CR+es_DO+es_EC+es_ES+es_GT+es_HN+es_MX+es_NI+es_PA+es_PE+es_PR+es_SV+es_UY+es_VE+pt+pt_br+pt_BR+pt_PT+gl+lad+an+mwl+it+it_IT+co+nap+scn+vec+sc+ro+la/opus-2020-04-21.zip)
* test set translations: [opus-2020-04-21.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-fr+fr_BE+fr_CA+fr_FR+wa+frp+oc+ca+rm+lld+fur+lij+lmo+es+es_AR+es_CL+es_CO+es_CR+es_DO+es_EC+es_ES+es_GT+es_HN+es_MX+es_NI+es_PA+es_PE+es_PR+es_SV+es_UY+es_VE+pt+pt_br+pt_BR+pt_PT+gl+lad+an+mwl+it+it_IT+co+nap+scn+vec+sc+ro+la/opus-2020-04-21.test.txt)
* test set scores: [opus-2020-04-21.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-fr+fr_BE+fr_CA+fr_FR+wa+frp+oc+ca+rm+lld+fur+lij+lmo+es+es_AR+es_CL+es_CO+es_CR+es_DO+es_EC+es_ES+es_GT+es_HN+es_MX+es_NI+es_PA+es_PE+es_PR+es_SV+es_UY+es_VE+pt+pt_br+pt_BR+pt_PT+gl+lad+an+mwl+it+it_IT+co+nap+scn+vec+sc+ro+la/opus-2020-04-21.eval.txt)

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba.en.la 	| 50.1 	| 0.693 |


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

### opus-mt-ts-en

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

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.ts.en 	| 44.0 	| 0.590 |


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

### opus-mt-de-ha

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

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.de.ha 	| 20.7 	| 0.417 |


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

### opus-mt-xh-es

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

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.xh.es 	| 32.3 	| 0.505 |


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

### opus-mt-sv-el

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

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| GlobalVoices.sv.el 	| 20.8 	| 0.456 |


---
language:
- en
- euq

tags:
- translation

license: apache-2.0
---

### eng-euq

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

*  model: transformer
* source language(s): eng
* target language(s): eus
* model: transformer
* pre-processing: normalization + SentencePiece (spm12k,spm12k)
* download original weights: [opus-2020-07-26.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-euq/opus-2020-07-26.zip)
* test set translations: [opus-2020-07-26.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-euq/opus-2020-07-26.test.txt)
* test set scores: [opus-2020-07-26.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-euq/opus-2020-07-26.eval.txt)

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.eng.eus 	| 27.9 	| 0.555 |
| Tatoeba-test.eng-eus.eng.eus 	| 27.9 	| 0.555 |

### System Info:
- hf_name: eng-euq

- source_languages: eng

- target_languages: euq

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

- original_repo: Tatoeba-Challenge

- tags: ['translation']

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

- src_constituents: {'eng'}

- tgt_constituents: {'eus'}

- src_multilingual: False

- tgt_multilingual: False

- prepro:  normalization + SentencePiece (spm12k,spm12k)

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

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

- src_alpha3: eng

- tgt_alpha3: euq

- short_pair: en-euq

- chrF2_score: 0.555

- bleu: 27.9

- brevity_penalty: 0.917

- ref_len: 7080.0

- src_name: English

- tgt_name: Basque (family)

- train_date: 2020-07-26

- src_alpha2: en

- tgt_alpha2: euq

- prefer_old: False

- long_pair: eng-euq

- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535

- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b

- port_machine: brutasse

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


---
language:
- ru
- vi

tags:
- translation

license: apache-2.0
---

### rus-vie

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

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

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.rus.vie 	| 16.9 	| 0.346 |

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

- source_languages: rus

- target_languages: vie

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

- original_repo: Tatoeba-Challenge

- tags: ['translation']

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

- src_constituents: {'rus'}

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

- src_multilingual: False

- tgt_multilingual: False

- prepro:  normalization + SentencePiece (spm32k,spm32k)

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

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

- src_alpha3: rus

- tgt_alpha3: vie

- short_pair: ru-vi

- chrF2_score: 0.34600000000000003

- bleu: 16.9

- brevity_penalty: 1.0

- ref_len: 2566.0

- src_name: Russian

- tgt_name: Vietnamese

- train_date: 2020-06-17

- src_alpha2: ru

- tgt_alpha2: vi

- prefer_old: False

- long_pair: rus-vie

- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535

- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b

- port_machine: brutasse

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


---
language:
- it
- vi

tags:
- translation

license: apache-2.0
---

### ita-vie

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

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

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.ita.vie 	| 36.2 	| 0.535 |

### System Info:
- hf_name: ita-vie

- source_languages: ita

- target_languages: vie

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

- original_repo: Tatoeba-Challenge

- tags: ['translation']

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

- src_constituents: {'ita'}

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

- src_multilingual: False

- tgt_multilingual: False

- prepro:  normalization + SentencePiece (spm32k,spm32k)

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

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

- src_alpha3: ita

- tgt_alpha3: vie

- short_pair: it-vi

- chrF2_score: 0.535

- bleu: 36.2

- brevity_penalty: 1.0

- ref_len: 2144.0

- src_name: Italian

- tgt_name: Vietnamese

- train_date: 2020-06-17

- src_alpha2: it

- tgt_alpha2: vi

- prefer_old: False

- long_pair: ita-vie

- 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-ln-de

* source languages: ln
* target languages: de
*  OPUS readme: [ln-de](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/ln-de/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/ln-de/opus-2020-01-21.zip)
* test set translations: [opus-2020-01-21.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/ln-de/opus-2020-01-21.test.txt)
* test set scores: [opus-2020-01-21.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/ln-de/opus-2020-01-21.eval.txt)

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.ln.de 	| 23.3 	| 0.428 |


---
language:
- fr
- it

tags:
- translation

license: apache-2.0
---
### fr-it

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

*  model: transformer-align
* source language(s): fra
* target language(s): ita
* raw source language(s): fra
* raw target language(s): ita
* model: transformer-align
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* download original weights: [opusTCv20210807-2021-11-11.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/fra-ita/opusTCv20210807-2021-11-11.zip)
* test set translations: [opusTCv20210807-2021-11-11.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/fra-ita/opusTCv20210807-2021-11-11.test.txt)
* test set scores: [opusTCv20210807-2021-11-11.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/fra-ita/opusTCv20210807-2021-11-11.eval.txt)

## Benchmarks

| testset | BLEU  | chr-F | #sent | #words | BP |
|---------|-------|-------|-------|--------|----|
| Tatoeba-test-v2021-08-07.fra-ita 	| 54.8 	| 0.737 	| 10000 	| 61517 	| 0.953 |

### System Info:
- hf_name: fr-it
- source_languages: fra
- target_languages: ita
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/fra-ita/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['fr', 'it']
- src_constituents: ('French', {'fra'})
- tgt_constituents: ('Italian', {'ita'})
- src_multilingual: False
- tgt_multilingual: False
- long_pair: fra-ita
- prepro:  normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/fra-ita/opusTCv20210807-2021-11-11.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/fra-ita/opusTCv20210807-2021-11-11.test.txt
- src_alpha3: fra
- tgt_alpha3: ita
- chrF2_score: 0.737
- bleu: 54.8
- src_name: French
- tgt_name: Italian
- train_date: 2021-11-11 00:00:00
- src_alpha2: fr
- tgt_alpha2: it
- prefer_old: False
- short_pair: fr-it
- helsinki_git_sha: 7ab0c987850187e0b10342bfc616cd47c027ba18
- transformers_git_sha: df1f94eb4a18b1a27d27e32040b60a17410d516e
- port_machine: LM0-400-22516.local
- port_time: 2021-11-11-19:40


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

### opus-mt-pap-de

* source languages: pap
* target languages: de
*  OPUS readme: [pap-de](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/pap-de/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/pap-de/opus-2020-01-21.zip)
* test set translations: [opus-2020-01-21.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/pap-de/opus-2020-01-21.test.txt)
* test set scores: [opus-2020-01-21.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/pap-de/opus-2020-01-21.eval.txt)

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.pap.de 	| 25.0 	| 0.466 |


---
language:
- en
- bn
- or
- gu
- mr
- ur
- hi
- ps
- os
- as
- si
- iir

tags:
- translation

license: apache-2.0
---

### eng-iir

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

*  model: transformer
* source language(s): eng
* target language(s): asm awa ben bho gom guj hif_Latn hin jdt_Cyrl kur_Arab kur_Latn mai mar npi ori oss pan_Guru pes pes_Latn pes_Thaa pnb pus rom san_Deva sin snd_Arab tgk_Cyrl tly_Latn urd 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-iir/opus2m-2020-08-01.zip)
* test set translations: [opus2m-2020-08-01.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-iir/opus2m-2020-08-01.test.txt)
* test set scores: [opus2m-2020-08-01.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-iir/opus2m-2020-08-01.eval.txt)

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| newsdev2014-enghin.eng.hin 	| 6.7 	| 0.326 |
| newsdev2019-engu-engguj.eng.guj 	| 6.0 	| 0.283 |
| newstest2014-hien-enghin.eng.hin 	| 10.4 	| 0.353 |
| newstest2019-engu-engguj.eng.guj 	| 6.6 	| 0.282 |
| Tatoeba-test.eng-asm.eng.asm 	| 2.7 	| 0.249 |
| Tatoeba-test.eng-awa.eng.awa 	| 0.4 	| 0.122 |
| Tatoeba-test.eng-ben.eng.ben 	| 15.3 	| 0.459 |
| Tatoeba-test.eng-bho.eng.bho 	| 3.7 	| 0.161 |
| Tatoeba-test.eng-fas.eng.fas 	| 3.4 	| 0.227 |
| Tatoeba-test.eng-guj.eng.guj 	| 18.5 	| 0.365 |
| Tatoeba-test.eng-hif.eng.hif 	| 1.0 	| 0.064 |
| Tatoeba-test.eng-hin.eng.hin 	| 17.0 	| 0.461 |
| Tatoeba-test.eng-jdt.eng.jdt 	| 3.9 	| 0.122 |
| Tatoeba-test.eng-kok.eng.kok 	| 5.5 	| 0.059 |
| Tatoeba-test.eng-kur.eng.kur 	| 4.0 	| 0.125 |
| Tatoeba-test.eng-lah.eng.lah 	| 0.3 	| 0.008 |
| Tatoeba-test.eng-mai.eng.mai 	| 9.3 	| 0.445 |
| Tatoeba-test.eng-mar.eng.mar 	| 20.7 	| 0.473 |
| Tatoeba-test.eng.multi 	| 13.7 	| 0.392 |
| Tatoeba-test.eng-nep.eng.nep 	| 0.6 	| 0.060 |
| Tatoeba-test.eng-ori.eng.ori 	| 2.4 	| 0.193 |
| Tatoeba-test.eng-oss.eng.oss 	| 2.1 	| 0.174 |
| Tatoeba-test.eng-pan.eng.pan 	| 9.7 	| 0.355 |
| Tatoeba-test.eng-pus.eng.pus 	| 1.0 	| 0.126 |
| Tatoeba-test.eng-rom.eng.rom 	| 1.3 	| 0.230 |
| Tatoeba-test.eng-san.eng.san 	| 1.3 	| 0.101 |
| Tatoeba-test.eng-sin.eng.sin 	| 11.7 	| 0.384 |
| Tatoeba-test.eng-snd.eng.snd 	| 2.8 	| 0.180 |
| Tatoeba-test.eng-tgk.eng.tgk 	| 8.1 	| 0.353 |
| Tatoeba-test.eng-tly.eng.tly 	| 0.5 	| 0.015 |
| Tatoeba-test.eng-urd.eng.urd 	| 12.3 	| 0.409 |
| Tatoeba-test.eng-zza.eng.zza 	| 0.5 	| 0.025 |

### System Info:
- hf_name: eng-iir

- source_languages: eng

- target_languages: iir

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

- original_repo: Tatoeba-Challenge

- tags: ['translation']

- languages: ['en', 'bn', 'or', 'gu', 'mr', 'ur', 'hi', 'ps', 'os', 'as', 'si', 'iir']

- src_constituents: {'eng'}

- tgt_constituents: {'pnb', 'gom', 'ben', 'hif_Latn', 'ori', 'guj', 'pan_Guru', 'snd_Arab', 'npi', 'mar', 'urd', 'pes', 'bho', 'kur_Arab', 'tgk_Cyrl', 'hin', 'kur_Latn', 'pes_Thaa', 'pus', 'san_Deva', 'oss', 'tly_Latn', 'jdt_Cyrl', 'asm', 'zza', 'rom', 'mai', 'pes_Latn', 'awa', 'sin'}

- src_multilingual: False

- tgt_multilingual: True

- prepro:  normalization + SentencePiece (spm32k,spm32k)

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

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

- src_alpha3: eng

- tgt_alpha3: iir

- short_pair: en-iir

- chrF2_score: 0.392

- bleu: 13.7

- brevity_penalty: 1.0

- ref_len: 63351.0

- src_name: English

- tgt_name: Indo-Iranian languages

- train_date: 2020-08-01

- src_alpha2: en

- tgt_alpha2: iir

- prefer_old: False

- long_pair: eng-iir

- 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-is

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

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.fi.is 	| 25.2 	| 0.452 |


---
language:
- sn
- rw
- wo
- ig
- sg
- ee
- zu
- lg
- ts
- ln
- ny
- yo
- rn
- xh
- alv
- en

tags:
- translation

license: apache-2.0
---

### alv-eng

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

*  model: transformer
* source language(s): ewe fuc fuv ibo kin lin lug nya run sag sna swh toi_Latn tso umb wol xho yor zul
* 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/alv-eng/opus2m-2020-07-31.zip)
* test set translations: [opus2m-2020-07-31.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/alv-eng/opus2m-2020-07-31.test.txt)
* test set scores: [opus2m-2020-07-31.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/alv-eng/opus2m-2020-07-31.eval.txt)

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.ewe-eng.ewe.eng 	| 6.3 	| 0.328 |
| Tatoeba-test.ful-eng.ful.eng 	| 0.4 	| 0.108 |
| Tatoeba-test.ibo-eng.ibo.eng 	| 4.5 	| 0.196 |
| Tatoeba-test.kin-eng.kin.eng 	| 30.7 	| 0.511 |
| Tatoeba-test.lin-eng.lin.eng 	| 2.8 	| 0.213 |
| Tatoeba-test.lug-eng.lug.eng 	| 3.4 	| 0.140 |
| Tatoeba-test.multi.eng 	| 20.9 	| 0.376 |
| Tatoeba-test.nya-eng.nya.eng 	| 38.7 	| 0.492 |
| Tatoeba-test.run-eng.run.eng 	| 24.5 	| 0.417 |
| Tatoeba-test.sag-eng.sag.eng 	| 5.5 	| 0.177 |
| Tatoeba-test.sna-eng.sna.eng 	| 26.9 	| 0.412 |
| Tatoeba-test.swa-eng.swa.eng 	| 4.9 	| 0.196 |
| Tatoeba-test.toi-eng.toi.eng 	| 3.9 	| 0.147 |
| Tatoeba-test.tso-eng.tso.eng 	| 76.7 	| 0.957 |
| Tatoeba-test.umb-eng.umb.eng 	| 4.0 	| 0.195 |
| Tatoeba-test.wol-eng.wol.eng 	| 3.7 	| 0.170 |
| Tatoeba-test.xho-eng.xho.eng 	| 38.9 	| 0.556 |
| Tatoeba-test.yor-eng.yor.eng 	| 25.1 	| 0.412 |
| Tatoeba-test.zul-eng.zul.eng 	| 46.1 	| 0.623 |

### System Info:
- hf_name: alv-eng

- source_languages: alv

- target_languages: eng

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

- original_repo: Tatoeba-Challenge

- tags: ['translation']

- languages: ['sn', 'rw', 'wo', 'ig', 'sg', 'ee', 'zu', 'lg', 'ts', 'ln', 'ny', 'yo', 'rn', 'xh', 'alv', 'en']

- src_constituents: {'sna', 'kin', 'wol', 'ibo', 'swh', 'sag', 'ewe', 'zul', 'fuc', 'lug', 'tso', 'lin', 'nya', 'yor', 'run', 'xho', 'fuv', 'toi_Latn', 'umb'}

- tgt_constituents: {'eng'}

- src_multilingual: True

- tgt_multilingual: False

- prepro:  normalization + SentencePiece (spm32k,spm32k)

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

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

- src_alpha3: alv

- tgt_alpha3: eng

- short_pair: alv-en

- chrF2_score: 0.376

- bleu: 20.9

- brevity_penalty: 1.0

- ref_len: 15208.0

- src_name: Atlantic-Congo languages

- tgt_name: English

- train_date: 2020-07-31

- src_alpha2: alv

- tgt_alpha2: en

- prefer_old: False

- long_pair: alv-eng

- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535

- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b

- port_machine: brutasse

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


---
language:
- vi
- km
- mkh
- en

tags:
- translation

license: apache-2.0
---

### mkh-eng

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

*  model: transformer
* source language(s): kha khm khm_Latn mnw vie vie_Hani
* target language(s): eng
* model: transformer
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* download original weights: [opus-2020-07-27.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/mkh-eng/opus-2020-07-27.zip)
* test set translations: [opus-2020-07-27.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/mkh-eng/opus-2020-07-27.test.txt)
* test set scores: [opus-2020-07-27.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/mkh-eng/opus-2020-07-27.eval.txt)

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.kha-eng.kha.eng 	| 0.5 	| 0.108 |
| Tatoeba-test.khm-eng.khm.eng 	| 8.5 	| 0.206 |
| Tatoeba-test.mnw-eng.mnw.eng 	| 0.7 	| 0.110 |
| Tatoeba-test.multi.eng 	| 24.5 	| 0.407 |
| Tatoeba-test.vie-eng.vie.eng 	| 34.4 	| 0.529 |

### System Info:
- hf_name: mkh-eng

- source_languages: mkh

- target_languages: eng

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

- original_repo: Tatoeba-Challenge

- tags: ['translation']

- languages: ['vi', 'km', 'mkh', 'en']

- src_constituents: {'vie_Hani', 'mnw', 'vie', 'kha', 'khm_Latn', 'khm'}

- tgt_constituents: {'eng'}

- src_multilingual: True

- tgt_multilingual: False

- prepro:  normalization + SentencePiece (spm32k,spm32k)

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

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

- src_alpha3: mkh

- tgt_alpha3: eng

- short_pair: mkh-en

- chrF2_score: 0.40700000000000003

- bleu: 24.5

- brevity_penalty: 1.0

- ref_len: 33985.0

- src_name: Mon-Khmer languages

- tgt_name: English

- train_date: 2020-07-27

- src_alpha2: mkh

- tgt_alpha2: en

- prefer_old: False

- long_pair: mkh-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-lus-en

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

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.lus.en 	| 37.0 	| 0.534 |


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

### opus-mt-es-war

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

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.es.war 	| 31.7 	| 0.530 |


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

### opus-mt-sv-lus

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

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.sv.lus 	| 26.7 	| 0.484 |


---
language:
- tr
- ar

tags:
- translation

license: apache-2.0
---

### tur-ara

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

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

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.tur.ara 	| 14.9 	| 0.455 |

### System Info:
- hf_name: tur-ara

- source_languages: tur

- target_languages: ara

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

- original_repo: Tatoeba-Challenge

- tags: ['translation']

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

- src_constituents: {'tur'}

- 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/tur-ara/opus-2020-07-03.zip

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

- src_alpha3: tur

- tgt_alpha3: ara

- short_pair: tr-ar

- chrF2_score: 0.455

- bleu: 14.9

- brevity_penalty: 0.988

- ref_len: 6944.0

- src_name: Turkish

- tgt_name: Arabic

- train_date: 2020-07-03

- src_alpha2: tr

- tgt_alpha2: ar

- prefer_old: False

- long_pair: tur-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-sv-ln

* source languages: sv
* target languages: ln
*  OPUS readme: [sv-ln](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/sv-ln/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/sv-ln/opus-2020-01-21.zip)
* test set translations: [opus-2020-01-21.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-ln/opus-2020-01-21.test.txt)
* test set scores: [opus-2020-01-21.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-ln/opus-2020-01-21.eval.txt)

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.sv.ln 	| 30.6 	| 0.541 |


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

### opus-mt-fi-yap

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

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.fi.yap 	| 25.4 	| 0.445 |


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

### opus-mt-tum-fr

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

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.tum.fr 	| 24.0 	| 0.403 |


---
language:
- en
- ro

tags:
- translation

license: apache-2.0
---
### en-ro

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

*  model: transformer-align
* source language(s): eng
* target language(s): mol ron
* 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)
* valid language labels:
* download original weights: [opus+bt-2021-03-07.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-ron/opus+bt-2021-03-07.zip)
* test set translations: [opus+bt-2021-03-07.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-ron/opus+bt-2021-03-07.test.txt)
* test set scores: [opus+bt-2021-03-07.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-ron/opus+bt-2021-03-07.eval.txt)

## Benchmarks

| testset | BLEU  | chr-F | #sent | #words | BP |
|---------|-------|-------|-------|--------|----|
| newsdev2016-enro.eng-ron 	| 33.5 	| 0.610 	| 1999 	| 51566 	| 0.984 |
| newstest2016-enro.eng-ron 	| 31.7 	| 0.591 	| 1999 	| 49094 	| 0.998 |
| Tatoeba-test.eng-ron 	| 46.9 	| 0.678 	| 5000 	| 36851 	| 0.983 |

### System Info:
- hf_name: en-ro
- source_languages: eng
- target_languages: ron
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-ron/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['en', 'ro']
- src_constituents: ('English', {'eng'})
- tgt_constituents: ('Romanian', {'ron'})
- src_multilingual: False
- tgt_multilingual: False
- long_pair: eng-ron
- prepro:  normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-ron/opus+bt-2021-03-07.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-ron/opus+bt-2021-03-07.test.txt
- src_alpha3: eng
- tgt_alpha3: ron
- chrF2_score: 0.678
- bleu: 46.9
- src_name: English
- tgt_name: Romanian
- train_date: 2021-03-07 00:00:00
- src_alpha2: en
- tgt_alpha2: ro
- prefer_old: False
- short_pair: en-ro
- helsinki_git_sha: 2ef219d5b67f0afb0c6b732cd07001d84181f002
- transformers_git_sha: 12b4d66a80419db30a15e7b9d4208ceb9887c03b
- port_machine: LM0-400-22516.local
- port_time: 2021-11-08-09:31


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

### opus-mt-iso-en

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

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.iso.en 	| 35.5 	| 0.506 |


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

### opus-mt-en-tl

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

*  dataset: opus+bt
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus+bt-2020-02-26.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-tl/opus+bt-2020-02-26.zip)
* test set translations: [opus+bt-2020-02-26.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-tl/opus+bt-2020-02-26.test.txt)
* test set scores: [opus+bt-2020-02-26.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-tl/opus+bt-2020-02-26.eval.txt)

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba.en.tl 	| 26.6 	| 0.577 |


---
language:
- vi
- km
- aav
- en

tags:
- translation

license: apache-2.0
---

### aav-eng

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

*  model: transformer
* source language(s): hoc hoc_Latn kha khm khm_Latn mnw vie vie_Hani
* 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/aav-eng/opus2m-2020-07-31.zip)
* test set translations: [opus2m-2020-07-31.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/aav-eng/opus2m-2020-07-31.test.txt)
* test set scores: [opus2m-2020-07-31.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/aav-eng/opus2m-2020-07-31.eval.txt)

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.hoc-eng.hoc.eng 	| 0.3 	| 0.095 |
| Tatoeba-test.kha-eng.kha.eng 	| 1.0 	| 0.115 |
| Tatoeba-test.khm-eng.khm.eng 	| 8.9 	| 0.271 |
| Tatoeba-test.mnw-eng.mnw.eng 	| 0.8 	| 0.118 |
| Tatoeba-test.multi.eng 	| 24.8 	| 0.391 |
| Tatoeba-test.vie-eng.vie.eng 	| 38.7 	| 0.567 |

### System Info:
- hf_name: aav-eng

- source_languages: aav

- target_languages: eng

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

- original_repo: Tatoeba-Challenge

- tags: ['translation']

- languages: ['vi', 'km', 'aav', 'en']

- src_constituents: {'mnw', 'vie', 'kha', 'khm', 'vie_Hani', 'khm_Latn', 'hoc_Latn', 'hoc'}

- tgt_constituents: {'eng'}

- src_multilingual: True

- tgt_multilingual: False

- prepro:  normalization + SentencePiece (spm32k,spm32k)

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

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

- src_alpha3: aav

- tgt_alpha3: eng

- short_pair: aav-en

- chrF2_score: 0.391

- bleu: 24.8

- brevity_penalty: 0.968

- ref_len: 36693.0

- src_name: Austro-Asiatic languages

- tgt_name: English

- train_date: 2020-07-31

- src_alpha2: aav

- tgt_alpha2: en

- prefer_old: False

- long_pair: aav-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-sv-af

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

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.sv.af 	| 44.4 	| 0.623 |


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

### opus-mt-en-tiv

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

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.en.tiv 	| 31.6 	| 0.497 |


---
language:
- no

tags:
- translation

license: apache-2.0
---

### nor-nor

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

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

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.nor.nor 	| 58.4 	| 0.784 |

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

- source_languages: nor

- target_languages: nor

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

- original_repo: Tatoeba-Challenge

- tags: ['translation']

- languages: ['no']

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

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

- src_multilingual: False

- tgt_multilingual: False

- prepro:  normalization + SentencePiece (spm4k,spm4k)

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

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

- src_alpha3: nor

- tgt_alpha3: nor

- short_pair: no-no

- chrF2_score: 0.784

- bleu: 58.4

- brevity_penalty: 0.988

- ref_len: 6351.0

- src_name: Norwegian

- tgt_name: Norwegian

- train_date: 2020-06-17

- src_alpha2: no

- tgt_alpha2: no

- prefer_old: False

- long_pair: nor-nor

- 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-ja-es

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

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba.ja.es 	| 34.6 	| 0.553 |


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

### opus-mt-lus-sv

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

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.lus.sv 	| 25.5 	| 0.439 |


---
language:
- es
- zh

tags:
- translation

license: apache-2.0
---
### es-zh

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

*  model: transformer
* source language(s): spa
* target language(s): cjy_Hans cjy_Hant cmn cmn_Hans cmn_Hant hsn hsn_Hani lzh nan wuu yue_Hans yue_Hant
* 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-2021-01-04.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/spa-zho/opus-2021-01-04.zip)
* test set translations: [opus-2021-01-04.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/spa-zho/opus-2021-01-04.test.txt)
* test set scores: [opus-2021-01-04.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/spa-zho/opus-2021-01-04.eval.txt)

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.spa.zho 	| 38.8 	| 0.324 |

### System Info:
- hf_name: es-zh

- source_languages: spa

- target_languages: zho

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

- original_repo: Tatoeba-Challenge

- tags: ['translation']

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

- src_constituents: ('Spanish', {'spa'})

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

- src_multilingual: False

- tgt_multilingual: False

- long_pair: spa-zho

- prepro:  normalization + SentencePiece (spm32k,spm32k)

- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/spa-zho/opus-2021-01-04.zip

- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/spa-zho/opus-2021-01-04.test.txt

- src_alpha3: spa

- tgt_alpha3: zho

- chrF2_score: 0.324

- bleu: 38.8

- brevity_penalty: 0.878

- ref_len: 22762.0

- src_name: Spanish

- tgt_name: Chinese

- train_date: 2021-01-04 00:00:00

- src_alpha2: es

- tgt_alpha2: zh

- prefer_old: False

- short_pair: es-zh

- helsinki_git_sha: dfdcef114ffb8a8dbb7a3fcf84bde5af50309500

- transformers_git_sha: 1310e1a758edc8e89ec363db76863c771fbeb1de

- port_machine: LM0-400-22516.local

- port_time: 2021-01-04-18:53


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

### opus-mt-sv-ru

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

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba.sv.ru 	| 46.6 	| 0.662 |


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

### opus-mt-ber-es

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

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba.ber.es 	| 33.8 	| 0.487 |


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

### opus-mt-af-de

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

*  dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-19.zip](https://object.pouta.csc.fi/OPUS-MT-models/af-de/opus-2020-01-19.zip)
* test set translations: [opus-2020-01-19.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/af-de/opus-2020-01-19.test.txt)
* test set scores: [opus-2020-01-19.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/af-de/opus-2020-01-19.eval.txt)

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba.af.de 	| 48.6 	| 0.681 |


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

### opus-mt-de-hil

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

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.de.hil 	| 33.9 	| 0.563 |


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

### opus-mt-sv-fr

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

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba.sv.fr 	| 59.7 	| 0.731 |


---
language:
- bg
- it

tags:
- translation

license: apache-2.0
---

### bul-ita

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

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

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.bul.ita 	| 43.1 	| 0.653 |

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

- source_languages: bul

- target_languages: ita

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

- original_repo: Tatoeba-Challenge

- tags: ['translation']

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

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

- tgt_constituents: {'ita'}

- src_multilingual: False

- tgt_multilingual: False

- prepro:  normalization + SentencePiece (spm32k,spm32k)

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

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

- src_alpha3: bul

- tgt_alpha3: ita

- short_pair: bg-it

- chrF2_score: 0.653

- bleu: 43.1

- brevity_penalty: 0.987

- ref_len: 16951.0

- src_name: Bulgarian

- tgt_name: Italian

- train_date: 2020-07-03

- src_alpha2: bg

- tgt_alpha2: it

- prefer_old: False

- long_pair: bul-ita

- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535

- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b

- port_machine: brutasse

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


---
language:
- bg
- uk

tags:
- translation

license: apache-2.0
---

### bul-ukr

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

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

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.bul.ukr 	| 49.2 	| 0.683 |

### System Info:
- hf_name: bul-ukr

- source_languages: bul

- target_languages: ukr

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

- original_repo: Tatoeba-Challenge

- tags: ['translation']

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

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

- tgt_constituents: {'ukr'}

- src_multilingual: False

- tgt_multilingual: False

- prepro:  normalization + SentencePiece (spm32k,spm32k)

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

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

- src_alpha3: bul

- tgt_alpha3: ukr

- short_pair: bg-uk

- chrF2_score: 0.6829999999999999

- bleu: 49.2

- brevity_penalty: 0.983

- ref_len: 4932.0

- src_name: Bulgarian

- tgt_name: Ukrainian

- train_date: 2020-06-17

- src_alpha2: bg

- tgt_alpha2: uk

- prefer_old: False

- long_pair: bul-ukr

- 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-hr

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

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.es.hr 	| 21.7 	| 0.459 |


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

### opus-mt-fi-kqn

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

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.fi.kqn 	| 22.3 	| 0.476 |


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

tags:
- translation

license: apache-2.0
---

### urj-eng

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

*  model: transformer
* source language(s): est fin fkv_Latn hun izh kpv krl liv_Latn mdf mhr myv sma sme udm vro
* 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/urj-eng/opus2m-2020-08-01.zip)
* test set translations: [opus2m-2020-08-01.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/urj-eng/opus2m-2020-08-01.test.txt)
* test set scores: [opus2m-2020-08-01.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/urj-eng/opus2m-2020-08-01.eval.txt)

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| newsdev2015-enfi-fineng.fin.eng 	| 22.7 	| 0.511 |
| newsdev2018-enet-esteng.est.eng 	| 26.6 	| 0.545 |
| newssyscomb2009-huneng.hun.eng 	| 21.3 	| 0.493 |
| newstest2009-huneng.hun.eng 	| 20.1 	| 0.487 |
| newstest2015-enfi-fineng.fin.eng 	| 23.9 	| 0.521 |
| newstest2016-enfi-fineng.fin.eng 	| 25.8 	| 0.542 |
| newstest2017-enfi-fineng.fin.eng 	| 28.9 	| 0.562 |
| newstest2018-enet-esteng.est.eng 	| 27.0 	| 0.552 |
| newstest2018-enfi-fineng.fin.eng 	| 21.2 	| 0.492 |
| newstest2019-fien-fineng.fin.eng 	| 25.3 	| 0.531 |
| newstestB2016-enfi-fineng.fin.eng 	| 21.3 	| 0.500 |
| newstestB2017-enfi-fineng.fin.eng 	| 24.4 	| 0.528 |
| newstestB2017-fien-fineng.fin.eng 	| 24.4 	| 0.528 |
| Tatoeba-test.chm-eng.chm.eng 	| 0.8 	| 0.131 |
| Tatoeba-test.est-eng.est.eng 	| 34.5 	| 0.526 |
| Tatoeba-test.fin-eng.fin.eng 	| 28.1 	| 0.485 |
| Tatoeba-test.fkv-eng.fkv.eng 	| 6.8 	| 0.335 |
| Tatoeba-test.hun-eng.hun.eng 	| 25.1 	| 0.452 |
| Tatoeba-test.izh-eng.izh.eng 	| 11.6 	| 0.224 |
| Tatoeba-test.kom-eng.kom.eng 	| 2.4 	| 0.110 |
| Tatoeba-test.krl-eng.krl.eng 	| 18.6 	| 0.365 |
| Tatoeba-test.liv-eng.liv.eng 	| 0.5 	| 0.078 |
| Tatoeba-test.mdf-eng.mdf.eng 	| 1.5 	| 0.117 |
| Tatoeba-test.multi.eng 	| 47.8 	| 0.646 |
| Tatoeba-test.myv-eng.myv.eng 	| 0.5 	| 0.101 |
| Tatoeba-test.sma-eng.sma.eng 	| 1.2 	| 0.110 |
| Tatoeba-test.sme-eng.sme.eng 	| 1.5 	| 0.147 |
| Tatoeba-test.udm-eng.udm.eng 	| 1.0 	| 0.130 |

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

- source_languages: urj

- target_languages: eng

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

- original_repo: Tatoeba-Challenge

- tags: ['translation']

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

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

- tgt_constituents: {'eng'}

- src_multilingual: True

- tgt_multilingual: False

- prepro:  normalization + SentencePiece (spm32k,spm32k)

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

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

- src_alpha3: urj

- tgt_alpha3: eng

- short_pair: urj-en

- chrF2_score: 0.6459999999999999

- bleu: 47.8

- brevity_penalty: 0.993

- ref_len: 70882.0

- src_name: Uralic languages

- tgt_name: English

- train_date: 2020-08-01

- src_alpha2: urj

- tgt_alpha2: en

- prefer_old: False

- long_pair: urj-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-sv-chk

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

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.sv.chk 	| 20.7 	| 0.421 |


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

### opus-mt-sn-fr

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

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.sn.fr 	| 30.8 	| 0.491 |


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

### opus-mt-es-pl

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

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba.es.pl 	| 44.6 	| 0.649 |


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

### opus-mt-et-fi

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

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.et.fi 	| 26.6 	| 0.546 |


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

### opus-mt-pap-en

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

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.pap.en 	| 47.3 	| 0.634 |
| Tatoeba.pap.en 	| 63.2 	| 0.684 |


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

### opus-mt-en-niu

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

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.en.niu 	| 53.0 	| 0.698 |


---
language:
- el
- ar

tags:
- translation

license: apache-2.0
---

### ell-ara

* source group: Modern Greek (1453-)
* target group: Arabic
*  OPUS readme: [ell-ara](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/ell-ara/README.md)

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

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.ell.ara 	| 21.9 	| 0.485 |

### System Info:
- hf_name: ell-ara

- source_languages: ell

- target_languages: ara

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

- original_repo: Tatoeba-Challenge

- tags: ['translation']

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

- src_constituents: {'ell'}

- 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/ell-ara/opus-2020-07-03.zip

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

- src_alpha3: ell

- tgt_alpha3: ara

- short_pair: el-ar

- chrF2_score: 0.485

- bleu: 21.9

- brevity_penalty: 0.972

- ref_len: 1686.0

- src_name: Modern Greek (1453-)

- tgt_name: Arabic

- train_date: 2020-07-03

- src_alpha2: el

- tgt_alpha2: ar

- prefer_old: False

- long_pair: ell-ara

- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535

- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b

- port_machine: brutasse

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


---
language:
- mk
- es

tags:
- translation

license: apache-2.0
---

### mkd-spa

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

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

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.mkd.spa 	| 56.5 	| 0.717 |

### System Info:
- hf_name: mkd-spa

- source_languages: mkd

- target_languages: spa

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

- original_repo: Tatoeba-Challenge

- tags: ['translation']

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

- src_constituents: {'mkd'}

- tgt_constituents: {'spa'}

- src_multilingual: False

- tgt_multilingual: False

- prepro:  normalization + SentencePiece (spm32k,spm32k)

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

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

- src_alpha3: mkd

- tgt_alpha3: spa

- short_pair: mk-es

- chrF2_score: 0.7170000000000001

- bleu: 56.5

- brevity_penalty: 0.997

- ref_len: 1121.0

- src_name: Macedonian

- tgt_name: Spanish

- train_date: 2020-06-17

- src_alpha2: mk

- tgt_alpha2: es

- prefer_old: False

- long_pair: mkd-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-en-fi

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

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

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| newstest2019-enfi.en.fi 	| 25.7 	| 0.578 |


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

### opus-mt-gaa-sv

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

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.gaa.sv 	| 30.1 	| 0.489 |


---
language:
- ca
- fr

tags:
- translation

license: apache-2.0
---

### cat-fra

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

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

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.cat.fra 	| 52.4 	| 0.694 |

### System Info:
- hf_name: cat-fra

- source_languages: cat

- target_languages: fra

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

- original_repo: Tatoeba-Challenge

- tags: ['translation']

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

- src_constituents: {'cat'}

- tgt_constituents: {'fra'}

- src_multilingual: False

- tgt_multilingual: False

- prepro:  normalization + SentencePiece (spm12k,spm12k)

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

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

- src_alpha3: cat

- tgt_alpha3: fra

- short_pair: ca-fr

- chrF2_score: 0.6940000000000001

- bleu: 52.4

- brevity_penalty: 0.987

- ref_len: 5517.0

- src_name: Catalan

- tgt_name: French

- train_date: 2020-06-16

- src_alpha2: ca

- tgt_alpha2: fr

- prefer_old: False

- long_pair: cat-fra

- 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-mos

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

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.en.mos 	| 26.9 	| 0.417 |


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

### opus-mt-fi-iso

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

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.fi.iso 	| 26.0 	| 0.439 |


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

### opus-mt-de-en

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

*  dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-02-26.zip](https://object.pouta.csc.fi/OPUS-MT-models/de-en/opus-2020-02-26.zip)
* test set translations: [opus-2020-02-26.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-en/opus-2020-02-26.test.txt)
* test set scores: [opus-2020-02-26.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-en/opus-2020-02-26.eval.txt)

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| newssyscomb2009.de.en 	| 29.4 	| 0.557 |
| news-test2008.de.en 	| 27.8 	| 0.548 |
| newstest2009.de.en 	| 26.8 	| 0.543 |
| newstest2010.de.en 	| 30.2 	| 0.584 |
| newstest2011.de.en 	| 27.4 	| 0.556 |
| newstest2012.de.en 	| 29.1 	| 0.569 |
| newstest2013.de.en 	| 32.1 	| 0.583 |
| newstest2014-deen.de.en 	| 34.0 	| 0.600 |
| newstest2015-ende.de.en 	| 34.2 	| 0.599 |
| newstest2016-ende.de.en 	| 40.4 	| 0.649 |
| newstest2017-ende.de.en 	| 35.7 	| 0.610 |
| newstest2018-ende.de.en 	| 43.7 	| 0.667 |
| newstest2019-deen.de.en 	| 40.1 	| 0.642 |
| Tatoeba.de.en 	| 55.4 	| 0.707 |