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

### opus-mt-lus-fr

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

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

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.lus.fr 	| 25.5 	| 0.423 |


---
language:
- pl
- no

tags:
- translation

license: apache-2.0
---

### pol-nor

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

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

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.pol.nor 	| 27.5 	| 0.479 |

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

- source_languages: pol

- target_languages: nor

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

- original_repo: Tatoeba-Challenge

- tags: ['translation']

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

- src_constituents: {'pol'}

- 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/pol-nor/opus-2020-06-17.zip

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

- src_alpha3: pol

- tgt_alpha3: nor

- short_pair: pl-no

- chrF2_score: 0.479

- bleu: 27.5

- brevity_penalty: 0.9690000000000001

- ref_len: 2045.0

- src_name: Polish

- tgt_name: Norwegian

- train_date: 2020-06-17

- src_alpha2: pl

- tgt_alpha2: no

- prefer_old: False

- long_pair: pol-nor

- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535

- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b

- port_machine: brutasse

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


---
language:
- fr
- no

tags:
- translation

license: apache-2.0
---

### fra-nor

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

*  model: transformer-align
* source language(s): fra
* 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/fra-nor/opus-2020-06-17.zip)
* test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/fra-nor/opus-2020-06-17.test.txt)
* test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/fra-nor/opus-2020-06-17.eval.txt)

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.fra.nor 	| 36.1 	| 0.555 |

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

- source_languages: fra

- target_languages: nor

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

- original_repo: Tatoeba-Challenge

- tags: ['translation']

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

- src_constituents: {'fra'}

- 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/fra-nor/opus-2020-06-17.zip

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

- src_alpha3: fra

- tgt_alpha3: nor

- short_pair: fr-no

- chrF2_score: 0.555

- bleu: 36.1

- brevity_penalty: 0.981

- ref_len: 3089.0

- src_name: French

- tgt_name: Norwegian

- train_date: 2020-06-17

- src_alpha2: fr

- tgt_alpha2: no

- prefer_old: False

- long_pair: fra-nor

- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535

- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b

- port_machine: brutasse

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


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

tags:
- translation

license: apache-2.0
---

### eng-alv

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

*  model: transformer
* source language(s): eng
* target language(s): ewe fuc fuv ibo kin lin lug nya run sag sna swh toi_Latn tso umb wol xho yor zul
* model: transformer
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* a sentence initial language token is required in the form of `>>id<<` (id = valid target language ID)
* download original weights: [opus2m-2020-08-01.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-alv/opus2m-2020-08-01.zip)
* test set translations: [opus2m-2020-08-01.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-alv/opus2m-2020-08-01.test.txt)
* test set scores: [opus2m-2020-08-01.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-alv/opus2m-2020-08-01.eval.txt)

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.eng-ewe.eng.ewe 	| 4.9 	| 0.212 |
| Tatoeba-test.eng-ful.eng.ful 	| 0.6 	| 0.079 |
| Tatoeba-test.eng-ibo.eng.ibo 	| 3.5 	| 0.255 |
| Tatoeba-test.eng-kin.eng.kin 	| 10.5 	| 0.510 |
| Tatoeba-test.eng-lin.eng.lin 	| 1.1 	| 0.273 |
| Tatoeba-test.eng-lug.eng.lug 	| 5.3 	| 0.340 |
| Tatoeba-test.eng.multi 	| 11.4 	| 0.429 |
| Tatoeba-test.eng-nya.eng.nya 	| 18.1 	| 0.595 |
| Tatoeba-test.eng-run.eng.run 	| 13.9 	| 0.484 |
| Tatoeba-test.eng-sag.eng.sag 	| 5.3 	| 0.194 |
| Tatoeba-test.eng-sna.eng.sna 	| 26.2 	| 0.623 |
| Tatoeba-test.eng-swa.eng.swa 	| 1.0 	| 0.141 |
| Tatoeba-test.eng-toi.eng.toi 	| 7.0 	| 0.224 |
| Tatoeba-test.eng-tso.eng.tso 	| 46.7 	| 0.643 |
| Tatoeba-test.eng-umb.eng.umb 	| 7.8 	| 0.359 |
| Tatoeba-test.eng-wol.eng.wol 	| 6.8 	| 0.191 |
| Tatoeba-test.eng-xho.eng.xho 	| 27.1 	| 0.629 |
| Tatoeba-test.eng-yor.eng.yor 	| 17.4 	| 0.356 |
| Tatoeba-test.eng-zul.eng.zul 	| 34.1 	| 0.729 |

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

- source_languages: eng

- target_languages: alv

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

- original_repo: Tatoeba-Challenge

- tags: ['translation']

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

- src_constituents: {'eng'}

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

- src_multilingual: False

- tgt_multilingual: True

- prepro:  normalization + SentencePiece (spm32k,spm32k)

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

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

- src_alpha3: eng

- tgt_alpha3: alv

- short_pair: en-alv

- chrF2_score: 0.429

- bleu: 11.4

- brevity_penalty: 1.0

- ref_len: 10603.0

- src_name: English

- tgt_name: Atlantic-Congo languages

- train_date: 2020-08-01

- src_alpha2: en

- tgt_alpha2: alv

- prefer_old: False

- long_pair: eng-alv

- 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-yo-sv

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

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

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.yo.sv 	| 25.2 	| 0.434 |


---
language:
- ru
- sl

tags:
- translation

license: apache-2.0
---

### rus-slv

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

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

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.rus.slv 	| 32.3 	| 0.492 |

### System Info:
- hf_name: rus-slv

- source_languages: rus

- target_languages: slv

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

- original_repo: Tatoeba-Challenge

- tags: ['translation']

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

- src_constituents: {'rus'}

- tgt_constituents: {'slv'}

- src_multilingual: False

- tgt_multilingual: False

- prepro:  normalization + SentencePiece (spm32k,spm32k)

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

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

- src_alpha3: rus

- tgt_alpha3: slv

- short_pair: ru-sl

- chrF2_score: 0.49200000000000005

- bleu: 32.3

- brevity_penalty: 0.992

- ref_len: 2135.0

- src_name: Russian

- tgt_name: Slovenian

- train_date: 2020-06-17

- src_alpha2: ru

- tgt_alpha2: sl

- prefer_old: False

- long_pair: rus-slv

- 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-bcl

* source languages: en
* target languages: bcl
*  OPUS readme: [en-bcl](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-bcl/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-bcl/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-bcl/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-bcl/opus+bt-2020-02-26.eval.txt)

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.en.bcl 	| 54.3 	| 0.722 |


---
language:
- es
- is

tags:
- translation

license: apache-2.0
---

### spa-isl

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

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

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.spa.isl 	| 27.1 	| 0.528 |

### System Info:
- hf_name: spa-isl

- source_languages: spa

- target_languages: isl

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

- original_repo: Tatoeba-Challenge

- tags: ['translation']

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

- src_constituents: {'spa'}

- tgt_constituents: {'isl'}

- src_multilingual: False

- tgt_multilingual: False

- prepro:  normalization + SentencePiece (spm32k,spm32k)

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

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

- src_alpha3: spa

- tgt_alpha3: isl

- short_pair: es-is

- chrF2_score: 0.528

- bleu: 27.1

- brevity_penalty: 1.0

- ref_len: 1220.0

- src_name: Spanish

- tgt_name: Icelandic

- train_date: 2020-06-17

- src_alpha2: es

- tgt_alpha2: is

- prefer_old: False

- long_pair: spa-isl

- 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-ve-en

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

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.ve.en 	| 41.3 	| 0.566 |


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

### opus-mt-fi-bg

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

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.fi.bg 	| 27.8 	| 0.502 |


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

### opus-mt-ja-sv

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

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba.ja.sv 	| 26.1 	| 0.445 |


---
language:
- de
- uk

tags:
- translation

license: apache-2.0
---

### deu-ukr

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

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

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.deu.ukr 	| 40.2 	| 0.612 |

### System Info:
- hf_name: deu-ukr

- source_languages: deu

- target_languages: ukr

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

- original_repo: Tatoeba-Challenge

- tags: ['translation']

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

- src_constituents: {'deu'}

- tgt_constituents: {'ukr'}

- src_multilingual: False

- tgt_multilingual: False

- prepro:  normalization + SentencePiece (spm32k,spm32k)

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

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

- src_alpha3: deu

- tgt_alpha3: ukr

- short_pair: de-uk

- chrF2_score: 0.612

- bleu: 40.2

- brevity_penalty: 0.9840000000000001

- ref_len: 54213.0

- src_name: German

- tgt_name: Ukrainian

- train_date: 2020-06-17

- src_alpha2: de

- tgt_alpha2: uk

- prefer_old: False

- long_pair: deu-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-mg-en

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

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| GlobalVoices.mg.en 	| 27.6 	| 0.522 |
| Tatoeba.mg.en 	| 50.2 	| 0.607 |


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

### opus-mt-fr-pis

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

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.fr.pis 	| 29.0 	| 0.486 |


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

### opus-mt-es-tw

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

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.es.tw 	| 26.3 	| 0.465 |


---
language:
- en
- poz

tags:
- translation

license: apache-2.0
---

### eng-poz

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

*  model: transformer
* source language(s): eng
* target language(s): akl_Latn ceb cha dtp fij gil haw hil iba ilo ind jav jav_Java lkt mad mah max_Latn min mlg mri nau niu pag pau rap smo sun tah tet tmw_Latn ton tvl war 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: [opus-2020-07-27.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-poz/opus-2020-07-27.zip)
* test set translations: [opus-2020-07-27.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-poz/opus-2020-07-27.test.txt)
* test set scores: [opus-2020-07-27.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-poz/opus-2020-07-27.eval.txt)

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.eng-akl.eng.akl 	| 1.3 	| 0.086 |
| Tatoeba-test.eng-ceb.eng.ceb 	| 10.2 	| 0.426 |
| Tatoeba-test.eng-cha.eng.cha 	| 1.9 	| 0.196 |
| Tatoeba-test.eng-dtp.eng.dtp 	| 0.4 	| 0.121 |
| Tatoeba-test.eng-fij.eng.fij 	| 31.0 	| 0.463 |
| Tatoeba-test.eng-gil.eng.gil 	| 45.4 	| 0.635 |
| Tatoeba-test.eng-haw.eng.haw 	| 0.6 	| 0.104 |
| Tatoeba-test.eng-hil.eng.hil 	| 14.4 	| 0.498 |
| Tatoeba-test.eng-iba.eng.iba 	| 17.4 	| 0.414 |
| Tatoeba-test.eng-ilo.eng.ilo 	| 33.1 	| 0.585 |
| Tatoeba-test.eng-jav.eng.jav 	| 6.5 	| 0.309 |
| Tatoeba-test.eng-lkt.eng.lkt 	| 0.5 	| 0.065 |
| Tatoeba-test.eng-mad.eng.mad 	| 1.7 	| 0.156 |
| Tatoeba-test.eng-mah.eng.mah 	| 12.7 	| 0.391 |
| Tatoeba-test.eng-mlg.eng.mlg 	| 30.3 	| 0.504 |
| Tatoeba-test.eng-mri.eng.mri 	| 8.2 	| 0.316 |
| Tatoeba-test.eng-msa.eng.msa 	| 30.4 	| 0.561 |
| Tatoeba-test.eng.multi 	| 16.2 	| 0.410 |
| Tatoeba-test.eng-nau.eng.nau 	| 0.6 	| 0.087 |
| Tatoeba-test.eng-niu.eng.niu 	| 33.2 	| 0.482 |
| Tatoeba-test.eng-pag.eng.pag 	| 19.4 	| 0.555 |
| Tatoeba-test.eng-pau.eng.pau 	| 1.0 	| 0.124 |
| Tatoeba-test.eng-rap.eng.rap 	| 1.4 	| 0.090 |
| Tatoeba-test.eng-smo.eng.smo 	| 12.9 	| 0.407 |
| Tatoeba-test.eng-sun.eng.sun 	| 15.5 	| 0.364 |
| Tatoeba-test.eng-tah.eng.tah 	| 9.5 	| 0.295 |
| Tatoeba-test.eng-tet.eng.tet 	| 1.2 	| 0.146 |
| Tatoeba-test.eng-ton.eng.ton 	| 23.7 	| 0.484 |
| Tatoeba-test.eng-tvl.eng.tvl 	| 32.5 	| 0.549 |
| Tatoeba-test.eng-war.eng.war 	| 12.6 	| 0.432 |

### System Info:
- hf_name: eng-poz

- source_languages: eng

- target_languages: poz

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

- original_repo: Tatoeba-Challenge

- tags: ['translation']

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

- src_constituents: {'eng'}

- tgt_constituents: set()

- src_multilingual: False

- tgt_multilingual: True

- prepro:  normalization + SentencePiece (spm32k,spm32k)

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

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

- src_alpha3: eng

- tgt_alpha3: poz

- short_pair: en-poz

- chrF2_score: 0.41

- bleu: 16.2

- brevity_penalty: 1.0

- ref_len: 66803.0

- src_name: English

- tgt_name: Malayo-Polynesian languages

- train_date: 2020-07-27

- src_alpha2: en

- tgt_alpha2: poz

- prefer_old: False

- long_pair: eng-poz

- 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-de

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

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

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba.ja.de 	| 30.1 	| 0.518 |


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

### opus-mt-es-de

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

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba.es.de 	| 50.0 	| 0.683 |


---
language:
- mt
- ar
- he
- ti
- am
- sem

tags:
- translation

license: apache-2.0
---

### sem-sem

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

*  model: transformer
* source language(s): apc ara arq arz heb mlt
* target language(s): apc ara arq arz heb mlt
* model: transformer
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* a sentence initial language token is required in the form of `>>id<<` (id = valid target language ID)
* download original weights: [opus-2020-07-27.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/sem-sem/opus-2020-07-27.zip)
* test set translations: [opus-2020-07-27.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/sem-sem/opus-2020-07-27.test.txt)
* test set scores: [opus-2020-07-27.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/sem-sem/opus-2020-07-27.eval.txt)

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.ara-ara.ara.ara 	| 4.2 	| 0.200 |
| Tatoeba-test.ara-heb.ara.heb 	| 34.0 	| 0.542 |
| Tatoeba-test.ara-mlt.ara.mlt 	| 16.6 	| 0.513 |
| Tatoeba-test.heb-ara.heb.ara 	| 18.8 	| 0.477 |
| Tatoeba-test.mlt-ara.mlt.ara 	| 20.7 	| 0.388 |
| Tatoeba-test.multi.multi 	| 27.1 	| 0.507 |

### System Info:
- hf_name: sem-sem

- source_languages: sem

- target_languages: sem

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

- original_repo: Tatoeba-Challenge

- tags: ['translation']

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

- src_constituents: {'apc', 'mlt', 'arz', 'ara', 'heb', 'tir', 'arq', 'afb', 'amh', 'acm', 'ary'}

- tgt_constituents: {'apc', 'mlt', 'arz', 'ara', 'heb', 'tir', 'arq', 'afb', 'amh', 'acm', 'ary'}

- src_multilingual: True

- tgt_multilingual: True

- prepro:  normalization + SentencePiece (spm32k,spm32k)

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

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

- src_alpha3: sem

- tgt_alpha3: sem

- short_pair: sem-sem

- chrF2_score: 0.507

- bleu: 27.1

- brevity_penalty: 0.972

- ref_len: 13472.0

- src_name: Semitic languages

- tgt_name: Semitic languages

- train_date: 2020-07-27

- src_alpha2: sem

- tgt_alpha2: sem

- prefer_old: False

- long_pair: sem-sem

- 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-sq

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

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.sv.sq 	| 34.4 	| 0.553 |


---
language:
- ja
- sh

tags:
- translation

license: apache-2.0
---

### jpn-hbs

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

*  model: transformer-align
* source language(s): jpn jpn_Bopo jpn_Hani jpn_Hira jpn_Kana jpn_Latn
* target language(s): bos_Latn hrv srp_Cyrl srp_Latn
* model: transformer-align
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* a sentence initial language token is required in the form of `>>id<<` (id = valid target language ID)
* download original weights: [opus-2020-06-17.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/jpn-hbs/opus-2020-06-17.zip)
* test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/jpn-hbs/opus-2020-06-17.test.txt)
* test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/jpn-hbs/opus-2020-06-17.eval.txt)

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.jpn.hbs 	| 22.6 	| 0.447 |

### System Info:
- hf_name: jpn-hbs

- source_languages: jpn

- target_languages: hbs

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

- original_repo: Tatoeba-Challenge

- tags: ['translation']

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

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

- tgt_constituents: {'hrv', 'srp_Cyrl', 'bos_Latn', 'srp_Latn'}

- src_multilingual: False

- tgt_multilingual: False

- prepro:  normalization + SentencePiece (spm32k,spm32k)

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

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

- src_alpha3: jpn

- tgt_alpha3: hbs

- short_pair: ja-sh

- chrF2_score: 0.447

- bleu: 22.6

- brevity_penalty: 0.9620000000000001

- ref_len: 2525.0

- src_name: Japanese

- tgt_name: Serbo-Croatian

- train_date: 2020-06-17

- src_alpha2: ja

- tgt_alpha2: sh

- prefer_old: False

- long_pair: jpn-hbs

- 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-gv

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

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| bible-uedin.en.gv 	| 70.1 	| 0.885 |


---
language:
- vi
- eo

tags:
- translation

license: apache-2.0
---

### vie-epo

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

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

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.vie.epo 	| 12.2 	| 0.332 |

### System Info:
- hf_name: vie-epo

- source_languages: vie

- target_languages: epo

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

- original_repo: Tatoeba-Challenge

- tags: ['translation']

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

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

- tgt_constituents: {'epo'}

- src_multilingual: False

- tgt_multilingual: False

- prepro:  normalization + SentencePiece (spm4k,spm4k)

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

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

- src_alpha3: vie

- tgt_alpha3: epo

- short_pair: vi-eo

- chrF2_score: 0.332

- bleu: 12.2

- brevity_penalty: 0.99

- ref_len: 13637.0

- src_name: Vietnamese

- tgt_name: Esperanto

- train_date: 2020-06-16

- src_alpha2: vi

- tgt_alpha2: eo

- prefer_old: False

- long_pair: vie-epo

- 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-af-sv

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

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

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.af.sv 	| 40.4 	| 0.599 |


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

### opus-mt-et-sv

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

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

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.et.sv 	| 28.9 	| 0.513 |


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

### opus-mt-lv-fr

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

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.lv.fr 	| 22.1 	| 0.437 |


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

### opus-mt-fr-ber

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

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

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba.fr.ber 	| 37.2 	| 0.641 |


---
language:
- zh
- it

tags:
- translation

license: apache-2.0
---

### zho-ita

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

*  model: transformer-align
* source language(s): cmn cmn_Bopo cmn_Hang cmn_Hani cmn_Hira cmn_Kana cmn_Latn lzh lzh_Hang lzh_Hani lzh_Hira lzh_Yiii wuu_Bopo wuu_Hani wuu_Latn yue_Hani
* target language(s): ita
* model: transformer-align
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* download original weights: [opus-2020-06-17.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/zho-ita/opus-2020-06-17.zip)
* test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/zho-ita/opus-2020-06-17.test.txt)
* test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/zho-ita/opus-2020-06-17.eval.txt)

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.zho.ita 	| 27.9 	| 0.508 |

### System Info:
- hf_name: zho-ita

- source_languages: zho

- target_languages: ita

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

- original_repo: Tatoeba-Challenge

- tags: ['translation']

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

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

- tgt_constituents: {'ita'}

- src_multilingual: False

- tgt_multilingual: False

- prepro:  normalization + SentencePiece (spm32k,spm32k)

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

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

- src_alpha3: zho

- tgt_alpha3: ita

- short_pair: zh-it

- chrF2_score: 0.508

- bleu: 27.9

- brevity_penalty: 0.935

- ref_len: 19684.0

- src_name: Chinese

- tgt_name: Italian

- train_date: 2020-06-17

- src_alpha2: zh

- tgt_alpha2: it

- prefer_old: False

- long_pair: zho-ita

- 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-de

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

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

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.ase.de 	| 27.2 	| 0.478 |


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

### opus-mt-fi-bzs

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

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.fi.bzs 	| 27.2 	| 0.459 |


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

### opus-mt-bzs-sv

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

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

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.bzs.sv 	| 30.7 	| 0.489 |


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

### opus-mt-sv-tn

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

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.sv.tn 	| 36.3 	| 0.561 |


---
language:
- id
- cpp

tags:
- translation

license: apache-2.0
---

### cpp-cpp

* source group: Creoles and pidgins, Portuguese-based
* target group: Creoles and pidgins, Portuguese-based
*  OPUS readme: [cpp-cpp](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/cpp-cpp/README.md)

*  model: transformer
* source language(s): ind pap
* target language(s): ind pap
* model: transformer
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* a sentence initial language token is required in the form of `>>id<<` (id = valid target language ID)
* download original weights: [opus-2020-07-26.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/cpp-cpp/opus-2020-07-26.zip)
* test set translations: [opus-2020-07-26.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/cpp-cpp/opus-2020-07-26.test.txt)
* test set scores: [opus-2020-07-26.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/cpp-cpp/opus-2020-07-26.eval.txt)

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.msa-msa.msa.msa 	| 0.7 	| 0.149 |
| Tatoeba-test.msa-pap.msa.pap 	| 31.7 	| 0.577 |
| Tatoeba-test.multi.multi 	| 21.1 	| 0.369 |
| Tatoeba-test.pap-msa.pap.msa 	| 17.7 	| 0.197 |

### System Info:
- hf_name: cpp-cpp

- source_languages: cpp

- target_languages: cpp

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

- original_repo: Tatoeba-Challenge

- tags: ['translation']

- languages: ['id', 'cpp']

- src_constituents: {'zsm_Latn', 'ind', 'pap', 'min', 'tmw_Latn', 'max_Latn', 'zlm_Latn'}

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

- src_multilingual: True

- tgt_multilingual: True

- prepro:  normalization + SentencePiece (spm32k,spm32k)

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

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

- src_alpha3: cpp

- tgt_alpha3: cpp

- short_pair: cpp-cpp

- chrF2_score: 0.369

- bleu: 21.1

- brevity_penalty: 0.882

- ref_len: 18.0

- src_name: Creoles and pidgins, Portuguese-based

- tgt_name: Creoles and pidgins, Portuguese-based

- train_date: 2020-07-26

- src_alpha2: cpp

- tgt_alpha2: cpp

- prefer_old: False

- long_pair: cpp-cpp

- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535

- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b

- port_machine: brutasse

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


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

### opus-mt-de-nso

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

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.de.nso 	| 31.1 	| 0.519 |


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

### opus-mt-ht-es

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

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.ht.es 	| 23.7 	| 0.418 |


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

### opus-mt-fi-gil

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

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.fi.gil 	| 28.3 	| 0.518 |


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

### opus-mt-fi-mt

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

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.fi.mt 	| 29.9 	| 0.490 |


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

### opus-mt-fi-nso

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

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.fi.nso 	| 35.8 	| 0.564 |


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

### opus-mt-gil-sv

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

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.gil.sv 	| 25.8 	| 0.441 |


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

### opus-mt-de-fj

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

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.de.fj 	| 24.6 	| 0.470 |


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

### opus-mt-fr-mos

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

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.fr.mos 	| 21.1 	| 0.353 |


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

### opus-mt-pon-sv

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

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

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.pon.sv 	| 26.4 	| 0.436 |


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

### opus-mt-da-en

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

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

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba.da.en 	| 63.6 	| 0.769 |


---
language:
- ur
- en

tags:
- translation

license: apache-2.0
---

### urd-eng

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

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

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.urd.eng 	| 23.2 	| 0.435 |

### System Info:
- hf_name: urd-eng

- source_languages: urd

- target_languages: eng

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

- original_repo: Tatoeba-Challenge

- tags: ['translation']

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

- src_constituents: {'urd'}

- tgt_constituents: {'eng'}

- src_multilingual: False

- tgt_multilingual: False

- prepro:  normalization + SentencePiece (spm32k,spm32k)

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

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

- src_alpha3: urd

- tgt_alpha3: eng

- short_pair: ur-en

- chrF2_score: 0.435

- bleu: 23.2

- brevity_penalty: 0.975

- ref_len: 12029.0

- src_name: Urdu

- tgt_name: English

- train_date: 2020-06-17

- src_alpha2: ur

- tgt_alpha2: en

- prefer_old: False

- long_pair: urd-eng

- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535

- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b

- port_machine: brutasse

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


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

### opus-mt-fi-kg

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

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.fi.kg 	| 29.5 	| 0.535 |


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

### opus-mt-sv-he

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

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.sv.he 	| 23.1 	| 0.440 |


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

### opus-mt-fi-mk

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

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

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.fi.mk 	| 28.9 	| 0.501 |


---
language:
- it
- he

tags:
- translation

license: apache-2.0
---
### it-he

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

*  model: transformer
* source language(s): ita
* target language(s): heb
* model: transformer
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* download original weights: [opus-2020-12-10.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/ita-heb/opus-2020-12-10.zip)
* test set translations: [opus-2020-12-10.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/ita-heb/opus-2020-12-10.test.txt)
* test set scores: [opus-2020-12-10.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/ita-heb/opus-2020-12-10.eval.txt)

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.ita.heb 	| 38.5 	| 0.593 |

### System Info:
- hf_name: it-he

- source_languages: ita

- target_languages: heb

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

- original_repo: Tatoeba-Challenge

- tags: ['translation']

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

- src_constituents: ('Italian', {'ita'})

- tgt_constituents: ('Hebrew', {'heb'})

- src_multilingual: False

- tgt_multilingual: False

- long_pair: ita-heb

- prepro:  normalization + SentencePiece (spm32k,spm32k)

- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/ita-heb/opus-2020-12-10.zip

- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/ita-heb/opus-2020-12-10.test.txt

- src_alpha3: ita

- tgt_alpha3: heb

- chrF2_score: 0.593

- bleu: 38.5

- brevity_penalty: 0.985

- ref_len: 9796.0

- src_name: Italian

- tgt_name: Hebrew

- train_date: 2020-12-10 00:00:00

- src_alpha2: it

- tgt_alpha2: he

- prefer_old: False

- short_pair: it-he

- helsinki_git_sha: b317f78a3ec8a556a481b6a53dc70dc11769ca96

- transformers_git_sha: 1310e1a758edc8e89ec363db76863c771fbeb1de

- port_machine: LM0-400-22516.local

- port_time: 2020-12-11-16:02


---
language:
- el
- grk
- en

tags:
- translation

license: apache-2.0
---

### grk-eng

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

*  model: transformer
* source language(s): ell grc_Grek
* target language(s): eng
* model: transformer
* pre-processing: normalization + SentencePiece (spm12k,spm12k)
* download original weights: [opus2m-2020-08-01.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/grk-eng/opus2m-2020-08-01.zip)
* test set translations: [opus2m-2020-08-01.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/grk-eng/opus2m-2020-08-01.test.txt)
* test set scores: [opus2m-2020-08-01.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/grk-eng/opus2m-2020-08-01.eval.txt)

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.ell-eng.ell.eng 	| 65.9 	| 0.779 |
| Tatoeba-test.grc-eng.grc.eng 	| 4.1 	| 0.187 |
| Tatoeba-test.multi.eng 	| 60.9 	| 0.733 |

### System Info:
- hf_name: grk-eng

- source_languages: grk

- target_languages: eng

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

- original_repo: Tatoeba-Challenge

- tags: ['translation']

- languages: ['el', 'grk', 'en']

- src_constituents: {'grc_Grek', 'ell'}

- tgt_constituents: {'eng'}

- src_multilingual: True

- tgt_multilingual: False

- prepro:  normalization + SentencePiece (spm12k,spm12k)

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

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

- src_alpha3: grk

- tgt_alpha3: eng

- short_pair: grk-en

- chrF2_score: 0.733

- bleu: 60.9

- brevity_penalty: 0.973

- ref_len: 62205.0

- src_name: Greek languages

- tgt_name: English

- train_date: 2020-08-01

- src_alpha2: grk

- tgt_alpha2: en

- prefer_old: False

- long_pair: grk-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-fr-tn

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

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.fr.tn 	| 33.1 	| 0.525 |


---
language:
- be
- es

tags:
- translation

license: apache-2.0
---

### bel-spa

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

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

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.bel.spa 	| 11.8 	| 0.272 |

### System Info:
- hf_name: bel-spa

- source_languages: bel

- target_languages: spa

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

- original_repo: Tatoeba-Challenge

- tags: ['translation']

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

- src_constituents: {'bel', 'bel_Latn'}

- tgt_constituents: {'spa'}

- src_multilingual: False

- tgt_multilingual: False

- prepro:  normalization + SentencePiece (spm4k,spm4k)

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

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

- src_alpha3: bel

- tgt_alpha3: spa

- short_pair: be-es

- chrF2_score: 0.272

- bleu: 11.8

- brevity_penalty: 0.892

- ref_len: 1412.0

- src_name: Belarusian

- tgt_name: Spanish

- train_date: 2020-06-16

- src_alpha2: be

- tgt_alpha2: es

- prefer_old: False

- long_pair: bel-spa

- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535

- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b

- port_machine: brutasse

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


---
language:
- es
- vi

tags:
- translation

license: apache-2.0
---

### spa-vie

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

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

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.spa.vie 	| 33.1 	| 0.508 |

### System Info:
- hf_name: spa-vie

- source_languages: spa

- target_languages: vie

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

- original_repo: Tatoeba-Challenge

- tags: ['translation']

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

- src_constituents: {'spa'}

- 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/spa-vie/opus-2020-06-17.zip

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

- src_alpha3: spa

- tgt_alpha3: vie

- short_pair: es-vi

- chrF2_score: 0.508

- bleu: 33.1

- brevity_penalty: 0.98

- ref_len: 4654.0

- src_name: Spanish

- tgt_name: Vietnamese

- train_date: 2020-06-17

- src_alpha2: es

- tgt_alpha2: vi

- prefer_old: False

- long_pair: spa-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-sv-nl

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

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| GlobalVoices.sv.nl 	| 24.3 	| 0.522 |


---
language:
- uk
- pl

tags:
- translation

license: apache-2.0
---

### ukr-pol

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

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

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.ukr.pol 	| 49.9 	| 0.685 |

### System Info:
- hf_name: ukr-pol

- source_languages: ukr

- target_languages: pol

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

- original_repo: Tatoeba-Challenge

- tags: ['translation']

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

- src_constituents: {'ukr'}

- tgt_constituents: {'pol'}

- src_multilingual: False

- tgt_multilingual: False

- prepro:  normalization + SentencePiece (spm32k,spm32k)

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

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

- src_alpha3: ukr

- tgt_alpha3: pol

- short_pair: uk-pl

- chrF2_score: 0.685

- bleu: 49.9

- brevity_penalty: 0.9470000000000001

- ref_len: 13098.0

- src_name: Ukrainian

- tgt_name: Polish

- train_date: 2020-06-17

- src_alpha2: uk

- tgt_alpha2: pl

- prefer_old: False

- long_pair: ukr-pol

- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535

- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b

- port_machine: brutasse

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


---
language:
- zh
- uk

tags:
- translation

license: apache-2.0
---

### zho-ukr

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

*  model: transformer-align
* source language(s): cmn cmn_Bopo cmn_Hang cmn_Hani cmn_Kana cmn_Latn cmn_Yiii yue_Bopo yue_Hang yue_Hani yue_Hira yue_Kana
* target language(s): ukr
* model: transformer-align
* pre-processing: normalization + SentencePiece (spm32k,spm4k)
* download original weights: [opus-2020-06-16.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/zho-ukr/opus-2020-06-16.zip)
* test set translations: [opus-2020-06-16.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/zho-ukr/opus-2020-06-16.test.txt)
* test set scores: [opus-2020-06-16.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/zho-ukr/opus-2020-06-16.eval.txt)

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.zho.ukr 	| 10.4 	| 0.259 |

### System Info:
- hf_name: zho-ukr

- source_languages: zho

- target_languages: ukr

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

- original_repo: Tatoeba-Challenge

- tags: ['translation']

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

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

- tgt_constituents: {'ukr'}

- src_multilingual: False

- tgt_multilingual: False

- prepro:  normalization + SentencePiece (spm32k,spm4k)

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

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

- src_alpha3: zho

- tgt_alpha3: ukr

- short_pair: zh-uk

- chrF2_score: 0.259

- bleu: 10.4

- brevity_penalty: 0.9059999999999999

- ref_len: 9193.0

- src_name: Chinese

- tgt_name: Ukrainian

- train_date: 2020-06-16

- src_alpha2: zh

- tgt_alpha2: uk

- prefer_old: False

- long_pair: zho-ukr

- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535

- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b

- port_machine: brutasse

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


---
language:
- th
- en

tags:
- translation

license: apache-2.0
---

### tha-eng

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

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

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.tha.eng 	| 48.1 	| 0.644 |

### System Info:
- hf_name: tha-eng

- source_languages: tha

- target_languages: eng

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

- original_repo: Tatoeba-Challenge

- tags: ['translation']

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

- src_constituents: {'tha'}

- tgt_constituents: {'eng'}

- src_multilingual: False

- tgt_multilingual: False

- prepro:  normalization + SentencePiece (spm32k,spm32k)

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

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

- src_alpha3: tha

- tgt_alpha3: eng

- short_pair: th-en

- chrF2_score: 0.644

- bleu: 48.1

- brevity_penalty: 0.9740000000000001

- ref_len: 7407.0

- src_name: Thai

- tgt_name: English

- train_date: 2020-06-17

- src_alpha2: th

- tgt_alpha2: en

- prefer_old: False

- long_pair: tha-eng

- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535

- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b

- port_machine: brutasse

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


---
language:
- gl
- en

tags:
- translation

license: apache-2.0
---

### glg-eng

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

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

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.glg.eng 	| 44.4 	| 0.628 |

### System Info:
- hf_name: glg-eng

- source_languages: glg

- target_languages: eng

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

- original_repo: Tatoeba-Challenge

- tags: ['translation']

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

- src_constituents: {'glg'}

- tgt_constituents: {'eng'}

- src_multilingual: False

- tgt_multilingual: False

- prepro:  normalization + SentencePiece (spm12k,spm12k)

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

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

- src_alpha3: glg

- tgt_alpha3: eng

- short_pair: gl-en

- chrF2_score: 0.628

- bleu: 44.4

- brevity_penalty: 0.975

- ref_len: 8365.0

- src_name: Galician

- tgt_name: English

- train_date: 2020-06-16

- src_alpha2: gl

- tgt_alpha2: en

- prefer_old: False

- long_pair: glg-eng

- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535

- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b

- port_machine: brutasse

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


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

tags:
- translation

license: apache-2.0
---

### eng-mkh

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

*  model: transformer
* source language(s): eng
* target language(s): kha khm khm_Latn mnw vie vie_Hani
* model: transformer
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* a sentence initial language token is required in the form of `>>id<<` (id = valid target language ID)
* download original weights: [opus-2020-07-27.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-mkh/opus-2020-07-27.zip)
* test set translations: [opus-2020-07-27.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-mkh/opus-2020-07-27.test.txt)
* test set scores: [opus-2020-07-27.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-mkh/opus-2020-07-27.eval.txt)

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.eng-kha.eng.kha 	| 0.1 	| 0.015 |
| Tatoeba-test.eng-khm.eng.khm 	| 0.2 	| 0.226 |
| Tatoeba-test.eng-mnw.eng.mnw 	| 0.7 	| 0.003 |
| Tatoeba-test.eng.multi 	| 16.5 	| 0.330 |
| Tatoeba-test.eng-vie.eng.vie 	| 33.7 	| 0.513 |

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

- source_languages: eng

- target_languages: mkh

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

- original_repo: Tatoeba-Challenge

- tags: ['translation']

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

- src_constituents: {'eng'}

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

- src_multilingual: False

- tgt_multilingual: True

- prepro:  normalization + SentencePiece (spm32k,spm32k)

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

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

- src_alpha3: eng

- tgt_alpha3: mkh

- short_pair: en-mkh

- chrF2_score: 0.33

- bleu: 16.5

- brevity_penalty: 1.0

- ref_len: 34734.0

- src_name: English

- tgt_name: Mon-Khmer languages

- train_date: 2020-07-27

- src_alpha2: en

- tgt_alpha2: mkh

- prefer_old: False

- long_pair: eng-mkh

- 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-da-de

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

*  dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-26.zip](https://object.pouta.csc.fi/OPUS-MT-models/da-de/opus-2020-01-26.zip)
* test set translations: [opus-2020-01-26.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/da-de/opus-2020-01-26.test.txt)
* test set scores: [opus-2020-01-26.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/da-de/opus-2020-01-26.eval.txt)

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba.da.de 	| 57.4 	| 0.740 |


---
language:
- es
- ca

tags:
- translation

license: apache-2.0
---

### spa-cat

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

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

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.spa.cat 	| 68.9 	| 0.832 |

### System Info:
- hf_name: spa-cat

- source_languages: spa

- target_languages: cat

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

- original_repo: Tatoeba-Challenge

- tags: ['translation']

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

- src_constituents: {'spa'}

- tgt_constituents: {'cat'}

- src_multilingual: False

- tgt_multilingual: False

- prepro:  normalization + SentencePiece (spm32k,spm32k)

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

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

- src_alpha3: spa

- tgt_alpha3: cat

- short_pair: es-ca

- chrF2_score: 0.8320000000000001

- bleu: 68.9

- brevity_penalty: 1.0

- ref_len: 12343.0

- src_name: Spanish

- tgt_name: Catalan

- train_date: 2020-06-17

- src_alpha2: es

- tgt_alpha2: ca

- prefer_old: False

- long_pair: spa-cat

- 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-wls

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

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

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.fi.wls 	| 24.7 	| 0.466 |


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

### opus-mt-es-bi

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

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.es.bi 	| 28.0 	| 0.473 |


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

### opus-mt-sk-en

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

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.sk.en 	| 42.2 	| 0.612 |


---
language:
- gmw
- gmw
datasets:
- opus
tags:
- translation
license: cc-by-4.0
model-index:
- name: opus-mt-tc-base-gmw-gmw
  results:
  - task:
      name: Translation AFR - DEU
      type: translation
      args: afr-deu
    dataset:
      name: Tatoeba - Test
      type: tatoeba
      args: gmw-gmw
    metrics:
       - name: BLEU
         type: bleu
         value: 48.5
---
# opus-mt-tc-base-gmw-gmw

Neural machine translation model for translating from West Germanic languages (gmw) to West Germanic languages (gmw).

This model is part of the [OPUS-MT project](https://github.com/Helsinki-NLP/Opus-MT), an effort to make neural machine translation models widely available and accessible for many languages in the world. All models are originally trained using the amazing framework of [Marian NMT](https://marian-nmt.github.io/), an efficient NMT implementation written in pure C++. The models have been converted to pyTorch using the transformers library by huggingface. Training data is taken from [OPUS](https://opus.nlpl.eu/) and training pipelines use the procedures of [OPUS-MT-train](https://github.com/Helsinki-NLP/Opus-MT-train).

* Publications: [OPUS-MT – Building open translation services for the World](https://aclanthology.org/2020.eamt-1.61/) and [The Tatoeba Translation Challenge – Realistic Data Sets for Low Resource and Multilingual MT](https://aclanthology.org/2020.wmt-1.139/) (Please, cite if you use this model.)

## Model info

* Release: 2021-02-23
* source language(s): afr deu eng fry gos hrx ltz nds nld pdc yid
* target language(s): afr deu eng fry nds nld
* valid target language labels: >>afr<< >>ang_Latn<< >>deu<< >>eng<< >>fry<< >>ltz<< >>nds<< >>nld<< >>sco<< >>yid<<
* model: transformer (base)
* data: opus ([source](https://github.com/Helsinki-NLP/Tatoeba-Challenge))
* tokenization: SentencePiece (spm32k,spm32k)
* original model: [opus-2021-02-23.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/gmw-gmw/opus-2021-02-23.zip)
* more information: [OPUS-MT models (gmw-gmw)](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/gmw-gmw/README.md)

This is a multilingual translation model with multiple target languages. A sentence initial language token is required in the form of `>>id<<` (id = valid target language ID), e.g. `>>afr<<`

## Usage

You can use OPUS-MT models with the transformers pipelines, for example:

```python
from transformers import pipeline
pipe = pipeline("translation", model="Helsinki-NLP/opus-mt-tc-base-gmw-gmw")
print(pipe(">>afr<< Replace this with text in an accepted source language."))
```

## Benchmarks

* test set translations: [opus-2021-02-23.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/gmw-gmw/opus-2021-02-23.test.txt)
* test set scores: [opus-2021-02-23.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/gmw-gmw/opus-2021-02-23.eval.txt)

| langpair | testset | BLEU  | chr-F | #sent | #words | BP |
|----------|---------|-------|-------|-------|--------|----|
| afr-deu | Tatoeba-test 	| 48.5 	| 0.677 	| 1583 	| 9105 	| 1.000 |
| afr-eng | Tatoeba-test 	| 58.7 	| 0.727 	| 1374 	| 9622 	| 0.995 |
| afr-nld | Tatoeba-test 	| 54.7 	| 0.713 	| 1056 	| 6710 	| 0.989 |
| deu-afr | Tatoeba-test 	| 52.4 	| 0.697 	| 1583 	| 9507 	| 1.000 |
| deu-eng | newssyscomb2009 	| 25.4 	| 0.527 	| 502 	| 11821 	| 0.986 |
| deu-eng | news-test2008 	| 23.9 	| 0.519 	| 2051 	| 49380 	| 0.992 |
| deu-eng | newstest2009 	| 23.5 	| 0.517 	| 2525 	| 65402 	| 0.978 |
| deu-eng | newstest2010 	| 26.1 	| 0.548 	| 2489 	| 61724 	| 1.000 |
| deu-eng | newstest2011 	| 23.9 	| 0.525 	| 3003 	| 74681 	| 1.000 |
| deu-eng | newstest2012 	| 25.0 	| 0.533 	| 3003 	| 72812 	| 1.000 |
| deu-eng | newstest2013 	| 27.7 	| 0.549 	| 3000 	| 64505 	| 1.000 |
| deu-eng | newstest2014-deen 	| 27.4 	| 0.549 	| 3003 	| 67337 	| 0.977 |
| deu-eng | newstest2015-ende 	| 28.8 	| 0.554 	| 2169 	| 46443 	| 0.973 |
| deu-eng | newstest2016-ende 	| 33.7 	| 0.598 	| 2999 	| 64126 	| 1.000 |
| deu-eng | newstest2017-ende 	| 29.6 	| 0.562 	| 3004 	| 64399 	| 0.979 |
| deu-eng | newstest2018-ende 	| 36.3 	| 0.611 	| 2998 	| 67013 	| 0.977 |
| deu-eng | newstest2019-deen 	| 32.7 	| 0.585 	| 2000 	| 39282 	| 0.984 |
| deu-eng | Tatoeba-test 	| 44.7 	| 0.629 	| 10000 	| 81233 	| 0.975 |
| deu-nds | Tatoeba-test 	| 18.7 	| 0.444 	| 10000 	| 76144 	| 0.988 |
| deu-nld | Tatoeba-test 	| 48.7 	| 0.672 	| 10000 	| 73546 	| 0.969 |
| eng-afr | Tatoeba-test 	| 56.5 	| 0.735 	| 1374 	| 10317 	| 0.984 |
| eng-deu | newssyscomb2009 	| 19.4 	| 0.503 	| 502 	| 11271 	| 0.991 |
| eng-deu | news-test2008 	| 19.5 	| 0.493 	| 2051 	| 47427 	| 0.996 |
| eng-deu | newstest2009 	| 18.8 	| 0.499 	| 2525 	| 62816 	| 0.993 |
| eng-deu | newstest2010 	| 20.8 	| 0.509 	| 2489 	| 61511 	| 0.958 |
| eng-deu | newstest2011 	| 19.2 	| 0.493 	| 3003 	| 72981 	| 0.980 |
| eng-deu | newstest2012 	| 19.6 	| 0.494 	| 3003 	| 72886 	| 0.960 |
| eng-deu | newstest2013 	| 22.8 	| 0.518 	| 3000 	| 63737 	| 0.974 |
| eng-deu | newstest2015-ende 	| 25.8 	| 0.545 	| 2169 	| 44260 	| 1.000 |
| eng-deu | newstest2016-ende 	| 30.3 	| 0.581 	| 2999 	| 62670 	| 0.989 |
| eng-deu | newstest2017-ende 	| 24.2 	| 0.537 	| 3004 	| 61291 	| 1.000 |
| eng-deu | newstest2018-ende 	| 35.5 	| 0.616 	| 2998 	| 64276 	| 1.000 |
| eng-deu | newstest2019-ende 	| 31.6 	| 0.586 	| 1997 	| 48969 	| 0.973 |
| eng-deu | Tatoeba-test 	| 37.8 	| 0.591 	| 10000 	| 83347 	| 0.991 |
| eng-nds | Tatoeba-test 	| 16.5 	| 0.411 	| 2500 	| 18264 	| 0.992 |
| eng-nld | Tatoeba-test 	| 50.3 	| 0.677 	| 10000 	| 71436 	| 0.979 |
| fry-deu | Tatoeba-test 	| 28.7 	| 0.545 	| 66 	| 432 	| 1.000 |
| fry-eng | Tatoeba-test 	| 31.9 	| 0.496 	| 205 	| 1500 	| 1.000 |
| fry-nld | Tatoeba-test 	| 43.0 	| 0.634 	| 233 	| 1672 	| 1.000 |
| gos-nld | Tatoeba-test 	| 15.9 	| 0.409 	| 1852 	| 9903 	| 0.959 |
| hrx-deu | Tatoeba-test 	| 24.7 	| 0.487 	| 471 	| 2805 	| 0.984 |
| ltz-deu | Tatoeba-test 	| 36.6 	| 0.552 	| 337 	| 2144 	| 1.000 |
| ltz-eng | Tatoeba-test 	| 31.4 	| 0.477 	| 283 	| 1751 	| 1.000 |
| ltz-nld | Tatoeba-test 	| 37.5 	| 0.523 	| 273 	| 1567 	| 1.000 |
| multi-multi | Tatoeba-test 	| 37.1 	| 0.569 	| 10000 	| 73153 	| 1.000 |
| nds-deu | Tatoeba-test 	| 34.5 	| 0.572 	| 10000 	| 74571 	| 1.000 |
| nds-eng | Tatoeba-test 	| 29.6 	| 0.492 	| 2500 	| 17589 	| 1.000 |
| nds-nld | Tatoeba-test 	| 42.2 	| 0.621 	| 1657 	| 11490 	| 0.994 |
| nld-afr | Tatoeba-test 	| 59.0 	| 0.756 	| 1056 	| 6823 	| 1.000 |
| nld-deu | Tatoeba-test 	| 50.6 	| 0.688 	| 10000 	| 72438 	| 1.000 |
| nld-eng | Tatoeba-test 	| 54.5 	| 0.702 	| 10000 	| 69848 	| 0.975 |
| nld-fry | Tatoeba-test 	| 23.3 	| 0.462 	| 233 	| 1679 	| 1.000 |
| nld-nds | Tatoeba-test 	| 21.7 	| 0.462 	| 1657 	| 11711 	| 0.998 |
| pdc-eng | Tatoeba-test 	| 24.3 	| 0.402 	| 53 	| 399 	| 1.000 |
| yid-nld | Tatoeba-test 	| 21.3 	| 0.402 	| 55 	| 323 	| 1.000 |

## Acknowledgements

The work is supported by the [European Language Grid](https://www.european-language-grid.eu/) as [pilot project 2866](https://live.european-language-grid.eu/catalogue/#/resource/projects/2866), by the [FoTran project](https://www.helsinki.fi/en/researchgroups/natural-language-understanding-with-cross-lingual-grounding), funded by the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (grant agreement No 771113), and the [MeMAD project](https://memad.eu/), funded by the European Union’s Horizon 2020 Research and Innovation Programme under grant agreement No 780069. We are also grateful for the generous computational resources and IT infrastructure provided by [CSC -- IT Center for Science](https://www.csc.fi/), Finland.

## Model conversion info

* transformers version: 4.12.3
* OPUS-MT git hash: b250e2e
* port time: Thu Jan 27 23:08:33 EET 2022
* port machine: LM0-400-22516.local


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

### opus-mt-ee-fi

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

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

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.ee.fi 	| 25.0 	| 0.482 |


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

### opus-mt-sv-NORWAY

* source languages: sv
* target languages: nb_NO,nb,nn_NO,nn,nog,no_nb,no
*  OPUS readme: [sv-nb_NO+nb+nn_NO+nn+nog+no_nb+no](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/sv-nb_NO+nb+nn_NO+nn+nog+no_nb+no/README.md)

*  dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* a sentence initial language token is required in the form of `>>id<<` (id = valid target language ID)
* download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/sv-nb_NO+nb+nn_NO+nn+nog+no_nb+no/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-nb_NO+nb+nn_NO+nn+nog+no_nb+no/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-nb_NO+nb+nn_NO+nn+nog+no_nb+no/opus-2020-01-16.eval.txt)

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.sv.no 	| 39.3 	| 0.590 |


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

### opus-mt-pis-en

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

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.pis.en 	| 33.3 	| 0.493 |


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

### opus-mt-ca-en

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

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

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba.ca.en 	| 51.4 	| 0.678 |