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

### opus-mt-rw-es

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

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.rw.es 	| 26.2 	| 0.445 |


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

### opus-mt-es-ber

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

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba.es.ber 	| 21.8 	| 0.444 |


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

### opus-mt-wls-sv

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

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.wls.sv 	| 23.8 	| 0.408 |


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

### opus-mt-sv-st

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

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.sv.st 	| 38.8 	| 0.584 |


---
language:
- ar
- ru

tags:
- translation

license: apache-2.0
---

### ara-rus

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

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

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.ara.rus 	| 42.5 	| 0.605 |

### System Info:
- hf_name: ara-rus

- source_languages: ara

- target_languages: rus

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

- original_repo: Tatoeba-Challenge

- tags: ['translation']

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

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

- tgt_constituents: {'rus'}

- src_multilingual: False

- tgt_multilingual: False

- prepro:  normalization + SentencePiece (spm32k,spm32k)

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

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

- src_alpha3: ara

- tgt_alpha3: rus

- short_pair: ar-ru

- chrF2_score: 0.605

- bleu: 42.5

- brevity_penalty: 0.97

- ref_len: 21830.0

- src_name: Arabic

- tgt_name: Russian

- train_date: 2020-07-03

- src_alpha2: ar

- tgt_alpha2: ru

- prefer_old: False

- long_pair: ara-rus

- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535

- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b

- port_machine: brutasse

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


---
language:
- no
- sv

tags:
- translation

license: apache-2.0
---

### nor-swe

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

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

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.nor.swe 	| 63.7 	| 0.773 |

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

- source_languages: nor

- target_languages: swe

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

- original_repo: Tatoeba-Challenge

- tags: ['translation']

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

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

- tgt_constituents: {'swe'}

- src_multilingual: False

- tgt_multilingual: False

- prepro:  normalization + SentencePiece (spm4k,spm4k)

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

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

- src_alpha3: nor

- tgt_alpha3: swe

- short_pair: no-sv

- chrF2_score: 0.773

- bleu: 63.7

- brevity_penalty: 0.9670000000000001

- ref_len: 3672.0

- src_name: Norwegian

- tgt_name: Swedish

- train_date: 2020-06-17

- src_alpha2: no

- tgt_alpha2: sv

- prefer_old: False

- long_pair: nor-swe

- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535

- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b

- port_machine: brutasse

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


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

### opus-mt-ln-en

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

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.ln.en 	| 35.9 	| 0.516 |


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

### opus-mt-nl-en

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

*  dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2019-12-05.zip](https://object.pouta.csc.fi/OPUS-MT-models/nl-en/opus-2019-12-05.zip)
* test set translations: [opus-2019-12-05.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/nl-en/opus-2019-12-05.test.txt)
* test set scores: [opus-2019-12-05.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/nl-en/opus-2019-12-05.eval.txt)

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba.nl.en 	| 60.9 	| 0.749 |


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

### opus-mt-lue-fi

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

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

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.lue.fi 	| 22.1 	| 0.427 |


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

### opus-mt-sv-sn

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

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

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.sv.sn 	| 27.4 	| 0.557 |


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

### opus-mt-tll-es

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

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.tll.es 	| 22.9 	| 0.403 |


---
language:
- tl
- pt

tags:
- translation

license: apache-2.0
---

### tgl-por

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

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

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.tgl.por 	| 28.8 	| 0.522 |

### System Info:
- hf_name: tgl-por

- source_languages: tgl

- target_languages: por

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

- original_repo: Tatoeba-Challenge

- tags: ['translation']

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

- src_constituents: {'tgl_Latn'}

- tgt_constituents: {'por'}

- src_multilingual: False

- tgt_multilingual: False

- prepro:  normalization + SentencePiece (spm32k,spm32k)

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

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

- src_alpha3: tgl

- tgt_alpha3: por

- short_pair: tl-pt

- chrF2_score: 0.522

- bleu: 28.8

- brevity_penalty: 0.981

- ref_len: 12826.0

- src_name: Tagalog

- tgt_name: Portuguese

- train_date: 2020-06-17

- src_alpha2: tl

- tgt_alpha2: pt

- prefer_old: False

- long_pair: tgl-por

- 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-da

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

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

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba.de.da 	| 57.2 	| 0.730 |


---
language:
- lt
- tr

tags:
- translation

license: apache-2.0
---

### lit-tur

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

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

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.lit.tur 	| 35.8 	| 0.648 |

### System Info:
- hf_name: lit-tur

- source_languages: lit

- target_languages: tur

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

- original_repo: Tatoeba-Challenge

- tags: ['translation']

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

- src_constituents: {'lit'}

- tgt_constituents: {'tur'}

- src_multilingual: False

- tgt_multilingual: False

- prepro:  normalization + SentencePiece (spm32k,spm32k)

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

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

- src_alpha3: lit

- tgt_alpha3: tur

- short_pair: lt-tr

- chrF2_score: 0.648

- bleu: 35.8

- brevity_penalty: 0.927

- ref_len: 7700.0

- src_name: Lithuanian

- tgt_name: Turkish

- train_date: 2020-06-17

- src_alpha2: lt

- tgt_alpha2: tr

- prefer_old: False

- long_pair: lit-tur

- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535

- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b

- port_machine: brutasse

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


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

### opus-mt-chk-en

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

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.chk.en 	| 31.2 	| 0.465 |


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

### opus-mt-fr-eo

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

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba.fr.eo 	| 52.0 	| 0.695 |


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

### opus-mt-de-bi

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

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.de.bi 	| 25.7 	| 0.450 |


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

### opus-mt-ilo-fi

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

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

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.ilo.fi 	| 27.7 	| 0.516 |


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

### opus-mt-ny-es

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

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.ny.es 	| 27.9 	| 0.457 |


---
language:
- lt
- lv
- bat
- en

tags:
- translation

license: apache-2.0
---

### bat-eng

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

*  model: transformer
* source language(s): lav lit ltg prg_Latn sgs
* target language(s): eng
* model: transformer
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* download original weights: [opus2m-2020-07-31.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/bat-eng/opus2m-2020-07-31.zip)
* test set translations: [opus2m-2020-07-31.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/bat-eng/opus2m-2020-07-31.test.txt)
* test set scores: [opus2m-2020-07-31.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/bat-eng/opus2m-2020-07-31.eval.txt)

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| newsdev2017-enlv-laveng.lav.eng 	| 27.5 	| 0.566 |
| newsdev2019-enlt-liteng.lit.eng 	| 27.8 	| 0.557 |
| newstest2017-enlv-laveng.lav.eng 	| 21.1 	| 0.512 |
| newstest2019-lten-liteng.lit.eng 	| 30.2 	| 0.592 |
| Tatoeba-test.lav-eng.lav.eng 	| 51.5 	| 0.687 |
| Tatoeba-test.lit-eng.lit.eng 	| 55.1 	| 0.703 |
| Tatoeba-test.multi.eng 	| 50.6 	| 0.662 |
| Tatoeba-test.prg-eng.prg.eng 	| 1.0 	| 0.159 |
| Tatoeba-test.sgs-eng.sgs.eng 	| 16.5 	| 0.265 |

### System Info:
- hf_name: bat-eng

- source_languages: bat

- target_languages: eng

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

- original_repo: Tatoeba-Challenge

- tags: ['translation']

- languages: ['lt', 'lv', 'bat', 'en']

- src_constituents: {'lit', 'lav', 'prg_Latn', 'ltg', 'sgs'}

- tgt_constituents: {'eng'}

- src_multilingual: True

- tgt_multilingual: False

- prepro:  normalization + SentencePiece (spm32k,spm32k)

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

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

- src_alpha3: bat

- tgt_alpha3: eng

- short_pair: bat-en

- chrF2_score: 0.662

- bleu: 50.6

- brevity_penalty: 0.9890000000000001

- ref_len: 30772.0

- src_name: Baltic languages

- tgt_name: English

- train_date: 2020-07-31

- src_alpha2: bat

- tgt_alpha2: en

- prefer_old: False

- long_pair: bat-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-efi-en

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

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

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.efi.en 	| 35.4 	| 0.510 |


---
language:
- eo
- pl

tags:
- translation

license: apache-2.0
---

### epo-pol

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

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

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.epo.pol 	| 17.2 	| 0.392 |

### System Info:
- hf_name: epo-pol

- source_languages: epo

- target_languages: pol

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

- original_repo: Tatoeba-Challenge

- tags: ['translation']

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

- src_constituents: {'epo'}

- tgt_constituents: {'pol'}

- src_multilingual: False

- tgt_multilingual: False

- prepro:  normalization + SentencePiece (spm4k,spm4k)

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

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

- src_alpha3: epo

- tgt_alpha3: pol

- short_pair: eo-pl

- chrF2_score: 0.392

- bleu: 17.2

- brevity_penalty: 0.893

- ref_len: 15343.0

- src_name: Esperanto

- tgt_name: Polish

- train_date: 2020-06-16

- src_alpha2: eo

- tgt_alpha2: pl

- prefer_old: False

- long_pair: epo-pol

- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535

- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b

- port_machine: brutasse

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


---
language:
- en
- zh
tags:
- translation
license: apache-2.0
---

### eng-zho

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

*  model: transformer
* source language(s): eng
* target language(s): cjy_Hans cjy_Hant cmn cmn_Hans cmn_Hant gan lzh lzh_Hans nan wuu yue yue_Hans yue_Hant
* model: transformer
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* a sentence initial language token is required in the form of `>>id<<` (id = valid target language ID)
* download original weights: [opus-2020-07-17.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-zho/opus-2020-07-17.zip)
* test set translations: [opus-2020-07-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-zho/opus-2020-07-17.test.txt)
* test set scores: [opus-2020-07-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-zho/opus-2020-07-17.eval.txt)

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.eng.zho 	| 31.4 	| 0.268 |

### System Info:
- hf_name: eng-zho

- source_languages: eng

- target_languages: zho

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

- original_repo: Tatoeba-Challenge

- tags: ['translation']

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

- src_constituents: {'eng'}

- tgt_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'}

- src_multilingual: False

- tgt_multilingual: False

- prepro:  normalization + SentencePiece (spm32k,spm32k)

- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-zho/opus-2020-07-17.zip

- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-zho/opus-2020-07-17.test.txt

- src_alpha3: eng

- tgt_alpha3: zho

- short_pair: en-zh

- chrF2_score: 0.268

- bleu: 31.4

- brevity_penalty: 0.8959999999999999

- ref_len: 110468.0

- src_name: English

- tgt_name: Chinese

- train_date: 2020-07-17

- src_alpha2: en

- tgt_alpha2: zh

- prefer_old: False

- long_pair: eng-zho

- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535

- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b

- port_machine: brutasse

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


---
language:
- it
- ms

tags:
- translation

license: apache-2.0
---

### ita-msa

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

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

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.ita.msa 	| 26.0 	| 0.536 |

### System Info:
- hf_name: ita-msa

- source_languages: ita

- target_languages: msa

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

- original_repo: Tatoeba-Challenge

- tags: ['translation']

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

- src_constituents: {'ita'}

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

- src_multilingual: False

- tgt_multilingual: False

- prepro:  normalization + SentencePiece (spm32k,spm32k)

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

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

- src_alpha3: ita

- tgt_alpha3: msa

- short_pair: it-ms

- chrF2_score: 0.536

- bleu: 26.0

- brevity_penalty: 0.9209999999999999

- ref_len: 2765.0

- src_name: Italian

- tgt_name: Malay (macrolanguage)

- train_date: 2020-06-17

- src_alpha2: it

- tgt_alpha2: ms

- prefer_old: False

- long_pair: ita-msa

- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535

- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b

- port_machine: brutasse

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


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

tags:
- translation

license: apache-2.0
---

### ine-eng

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

*  model: transformer
* source language(s): afr aln ang_Latn arg asm ast awa bel bel_Latn ben bho bos_Latn bre bul bul_Latn cat ces cor cos csb_Latn cym dan deu dsb egl ell enm_Latn ext fao fra frm_Latn frr fry gcf_Latn gla gle glg glv gom gos got_Goth grc_Grek gsw guj hat hif_Latn hin hrv hsb hye ind isl ita jdt_Cyrl ksh kur_Arab kur_Latn lad lad_Latn lat_Latn lav lij lit lld_Latn lmo ltg ltz mai mar max_Latn mfe min mkd mwl nds nld nno nob nob_Hebr non_Latn npi oci ori orv_Cyrl oss pan_Guru pap pdc pes pes_Latn pes_Thaa pms pnb pol por prg_Latn pus roh rom ron rue rus san_Deva scn sco sgs sin slv snd_Arab spa sqi srp_Cyrl srp_Latn stq swe swg tgk_Cyrl tly_Latn tmw_Latn ukr urd vec wln yid zlm_Latn zsm_Latn zza
* target language(s): eng
* model: transformer
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* download original weights: [opus2m-2020-08-01.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/ine-eng/opus2m-2020-08-01.zip)
* test set translations: [opus2m-2020-08-01.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/ine-eng/opus2m-2020-08-01.test.txt)
* test set scores: [opus2m-2020-08-01.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/ine-eng/opus2m-2020-08-01.eval.txt)

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| newsdev2014-hineng.hin.eng 	| 11.2 	| 0.375 |
| newsdev2016-enro-roneng.ron.eng 	| 35.5 	| 0.614 |
| newsdev2017-enlv-laveng.lav.eng 	| 25.1 	| 0.542 |
| newsdev2019-engu-gujeng.guj.eng 	| 16.0 	| 0.420 |
| newsdev2019-enlt-liteng.lit.eng 	| 24.0 	| 0.522 |
| newsdiscussdev2015-enfr-fraeng.fra.eng 	| 30.1 	| 0.550 |
| newsdiscusstest2015-enfr-fraeng.fra.eng 	| 33.4 	| 0.572 |
| newssyscomb2009-ceseng.ces.eng 	| 24.0 	| 0.520 |
| newssyscomb2009-deueng.deu.eng 	| 25.7 	| 0.526 |
| newssyscomb2009-fraeng.fra.eng 	| 27.9 	| 0.550 |
| newssyscomb2009-itaeng.ita.eng 	| 31.4 	| 0.574 |
| newssyscomb2009-spaeng.spa.eng 	| 28.3 	| 0.555 |
| news-test2008-deueng.deu.eng 	| 24.0 	| 0.515 |
| news-test2008-fraeng.fra.eng 	| 24.5 	| 0.524 |
| news-test2008-spaeng.spa.eng 	| 25.5 	| 0.533 |
| newstest2009-ceseng.ces.eng 	| 23.3 	| 0.516 |
| newstest2009-deueng.deu.eng 	| 23.2 	| 0.512 |
| newstest2009-fraeng.fra.eng 	| 27.3 	| 0.545 |
| newstest2009-itaeng.ita.eng 	| 30.3 	| 0.567 |
| newstest2009-spaeng.spa.eng 	| 27.9 	| 0.549 |
| newstest2010-ceseng.ces.eng 	| 23.8 	| 0.523 |
| newstest2010-deueng.deu.eng 	| 26.2 	| 0.545 |
| newstest2010-fraeng.fra.eng 	| 28.6 	| 0.562 |
| newstest2010-spaeng.spa.eng 	| 31.4 	| 0.581 |
| newstest2011-ceseng.ces.eng 	| 24.2 	| 0.521 |
| newstest2011-deueng.deu.eng 	| 23.9 	| 0.522 |
| newstest2011-fraeng.fra.eng 	| 29.5 	| 0.570 |
| newstest2011-spaeng.spa.eng 	| 30.3 	| 0.570 |
| newstest2012-ceseng.ces.eng 	| 23.5 	| 0.516 |
| newstest2012-deueng.deu.eng 	| 24.9 	| 0.529 |
| newstest2012-fraeng.fra.eng 	| 30.0 	| 0.568 |
| newstest2012-ruseng.rus.eng 	| 29.9 	| 0.565 |
| newstest2012-spaeng.spa.eng 	| 33.3 	| 0.593 |
| newstest2013-ceseng.ces.eng 	| 25.6 	| 0.531 |
| newstest2013-deueng.deu.eng 	| 27.7 	| 0.545 |
| newstest2013-fraeng.fra.eng 	| 30.0 	| 0.561 |
| newstest2013-ruseng.rus.eng 	| 24.4 	| 0.514 |
| newstest2013-spaeng.spa.eng 	| 30.8 	| 0.577 |
| newstest2014-csen-ceseng.ces.eng 	| 27.7 	| 0.558 |
| newstest2014-deen-deueng.deu.eng 	| 27.7 	| 0.545 |
| newstest2014-fren-fraeng.fra.eng 	| 32.2 	| 0.592 |
| newstest2014-hien-hineng.hin.eng 	| 16.7 	| 0.450 |
| newstest2014-ruen-ruseng.rus.eng 	| 27.2 	| 0.552 |
| newstest2015-encs-ceseng.ces.eng 	| 25.4 	| 0.518 |
| newstest2015-ende-deueng.deu.eng 	| 28.8 	| 0.552 |
| newstest2015-enru-ruseng.rus.eng 	| 25.6 	| 0.527 |
| newstest2016-encs-ceseng.ces.eng 	| 27.0 	| 0.540 |
| newstest2016-ende-deueng.deu.eng 	| 33.5 	| 0.592 |
| newstest2016-enro-roneng.ron.eng 	| 32.8 	| 0.591 |
| newstest2016-enru-ruseng.rus.eng 	| 24.8 	| 0.523 |
| newstest2017-encs-ceseng.ces.eng 	| 23.7 	| 0.510 |
| newstest2017-ende-deueng.deu.eng 	| 29.3 	| 0.556 |
| newstest2017-enlv-laveng.lav.eng 	| 18.9 	| 0.486 |
| newstest2017-enru-ruseng.rus.eng 	| 28.0 	| 0.546 |
| newstest2018-encs-ceseng.ces.eng 	| 24.9 	| 0.521 |
| newstest2018-ende-deueng.deu.eng 	| 36.0 	| 0.604 |
| newstest2018-enru-ruseng.rus.eng 	| 23.8 	| 0.517 |
| newstest2019-deen-deueng.deu.eng 	| 31.5 	| 0.570 |
| newstest2019-guen-gujeng.guj.eng 	| 12.1 	| 0.377 |
| newstest2019-lten-liteng.lit.eng 	| 26.6 	| 0.555 |
| newstest2019-ruen-ruseng.rus.eng 	| 27.5 	| 0.541 |
| Tatoeba-test.afr-eng.afr.eng 	| 59.0 	| 0.724 |
| Tatoeba-test.ang-eng.ang.eng 	| 9.9 	| 0.254 |
| Tatoeba-test.arg-eng.arg.eng 	| 41.6 	| 0.487 |
| Tatoeba-test.asm-eng.asm.eng 	| 22.8 	| 0.392 |
| Tatoeba-test.ast-eng.ast.eng 	| 36.1 	| 0.521 |
| Tatoeba-test.awa-eng.awa.eng 	| 11.6 	| 0.280 |
| Tatoeba-test.bel-eng.bel.eng 	| 42.2 	| 0.597 |
| Tatoeba-test.ben-eng.ben.eng 	| 45.8 	| 0.598 |
| Tatoeba-test.bho-eng.bho.eng 	| 34.4 	| 0.518 |
| Tatoeba-test.bre-eng.bre.eng 	| 24.4 	| 0.405 |
| Tatoeba-test.bul-eng.bul.eng 	| 50.8 	| 0.660 |
| Tatoeba-test.cat-eng.cat.eng 	| 51.2 	| 0.677 |
| Tatoeba-test.ces-eng.ces.eng 	| 47.6 	| 0.641 |
| Tatoeba-test.cor-eng.cor.eng 	| 5.4 	| 0.214 |
| Tatoeba-test.cos-eng.cos.eng 	| 61.0 	| 0.675 |
| Tatoeba-test.csb-eng.csb.eng 	| 22.5 	| 0.394 |
| Tatoeba-test.cym-eng.cym.eng 	| 34.7 	| 0.522 |
| Tatoeba-test.dan-eng.dan.eng 	| 56.2 	| 0.708 |
| Tatoeba-test.deu-eng.deu.eng 	| 44.9 	| 0.625 |
| Tatoeba-test.dsb-eng.dsb.eng 	| 21.0 	| 0.383 |
| Tatoeba-test.egl-eng.egl.eng 	| 6.9 	| 0.221 |
| Tatoeba-test.ell-eng.ell.eng 	| 62.1 	| 0.741 |
| Tatoeba-test.enm-eng.enm.eng 	| 22.6 	| 0.466 |
| Tatoeba-test.ext-eng.ext.eng 	| 33.2 	| 0.496 |
| Tatoeba-test.fao-eng.fao.eng 	| 28.1 	| 0.460 |
| Tatoeba-test.fas-eng.fas.eng 	| 9.6 	| 0.306 |
| Tatoeba-test.fra-eng.fra.eng 	| 50.3 	| 0.661 |
| Tatoeba-test.frm-eng.frm.eng 	| 30.0 	| 0.457 |
| Tatoeba-test.frr-eng.frr.eng 	| 15.2 	| 0.301 |
| Tatoeba-test.fry-eng.fry.eng 	| 34.4 	| 0.525 |
| Tatoeba-test.gcf-eng.gcf.eng 	| 18.4 	| 0.317 |
| Tatoeba-test.gla-eng.gla.eng 	| 24.1 	| 0.400 |
| Tatoeba-test.gle-eng.gle.eng 	| 52.2 	| 0.671 |
| Tatoeba-test.glg-eng.glg.eng 	| 50.5 	| 0.669 |
| Tatoeba-test.glv-eng.glv.eng 	| 5.7 	| 0.189 |
| Tatoeba-test.gos-eng.gos.eng 	| 19.2 	| 0.378 |
| Tatoeba-test.got-eng.got.eng 	| 0.1 	| 0.022 |
| Tatoeba-test.grc-eng.grc.eng 	| 0.9 	| 0.095 |
| Tatoeba-test.gsw-eng.gsw.eng 	| 23.9 	| 0.390 |
| Tatoeba-test.guj-eng.guj.eng 	| 28.0 	| 0.428 |
| Tatoeba-test.hat-eng.hat.eng 	| 44.2 	| 0.567 |
| Tatoeba-test.hbs-eng.hbs.eng 	| 51.6 	| 0.666 |
| Tatoeba-test.hif-eng.hif.eng 	| 22.3 	| 0.451 |
| Tatoeba-test.hin-eng.hin.eng 	| 41.7 	| 0.585 |
| Tatoeba-test.hsb-eng.hsb.eng 	| 46.4 	| 0.590 |
| Tatoeba-test.hye-eng.hye.eng 	| 40.4 	| 0.564 |
| Tatoeba-test.isl-eng.isl.eng 	| 43.8 	| 0.605 |
| Tatoeba-test.ita-eng.ita.eng 	| 60.7 	| 0.735 |
| Tatoeba-test.jdt-eng.jdt.eng 	| 5.5 	| 0.091 |
| Tatoeba-test.kok-eng.kok.eng 	| 7.8 	| 0.205 |
| Tatoeba-test.ksh-eng.ksh.eng 	| 15.8 	| 0.284 |
| Tatoeba-test.kur-eng.kur.eng 	| 11.6 	| 0.232 |
| Tatoeba-test.lad-eng.lad.eng 	| 30.7 	| 0.484 |
| Tatoeba-test.lah-eng.lah.eng 	| 11.0 	| 0.286 |
| Tatoeba-test.lat-eng.lat.eng 	| 24.4 	| 0.432 |
| Tatoeba-test.lav-eng.lav.eng 	| 47.2 	| 0.646 |
| Tatoeba-test.lij-eng.lij.eng 	| 9.0 	| 0.287 |
| Tatoeba-test.lit-eng.lit.eng 	| 51.7 	| 0.670 |
| Tatoeba-test.lld-eng.lld.eng 	| 22.4 	| 0.369 |
| Tatoeba-test.lmo-eng.lmo.eng 	| 26.1 	| 0.381 |
| Tatoeba-test.ltz-eng.ltz.eng 	| 39.8 	| 0.536 |
| Tatoeba-test.mai-eng.mai.eng 	| 72.3 	| 0.758 |
| Tatoeba-test.mar-eng.mar.eng 	| 32.0 	| 0.554 |
| Tatoeba-test.mfe-eng.mfe.eng 	| 63.1 	| 0.822 |
| Tatoeba-test.mkd-eng.mkd.eng 	| 49.5 	| 0.638 |
| Tatoeba-test.msa-eng.msa.eng 	| 38.6 	| 0.566 |
| Tatoeba-test.multi.eng 	| 45.6 	| 0.615 |
| Tatoeba-test.mwl-eng.mwl.eng 	| 40.4 	| 0.767 |
| Tatoeba-test.nds-eng.nds.eng 	| 35.5 	| 0.538 |
| Tatoeba-test.nep-eng.nep.eng 	| 4.9 	| 0.209 |
| Tatoeba-test.nld-eng.nld.eng 	| 54.2 	| 0.694 |
| Tatoeba-test.non-eng.non.eng 	| 39.3 	| 0.573 |
| Tatoeba-test.nor-eng.nor.eng 	| 50.9 	| 0.663 |
| Tatoeba-test.oci-eng.oci.eng 	| 19.6 	| 0.386 |
| Tatoeba-test.ori-eng.ori.eng 	| 16.2 	| 0.364 |
| Tatoeba-test.orv-eng.orv.eng 	| 13.6 	| 0.288 |
| Tatoeba-test.oss-eng.oss.eng 	| 9.4 	| 0.301 |
| Tatoeba-test.pan-eng.pan.eng 	| 17.1 	| 0.389 |
| Tatoeba-test.pap-eng.pap.eng 	| 57.0 	| 0.680 |
| Tatoeba-test.pdc-eng.pdc.eng 	| 41.6 	| 0.526 |
| Tatoeba-test.pms-eng.pms.eng 	| 13.7 	| 0.333 |
| Tatoeba-test.pol-eng.pol.eng 	| 46.5 	| 0.632 |
| Tatoeba-test.por-eng.por.eng 	| 56.4 	| 0.710 |
| Tatoeba-test.prg-eng.prg.eng 	| 2.3 	| 0.193 |
| Tatoeba-test.pus-eng.pus.eng 	| 3.2 	| 0.194 |
| Tatoeba-test.roh-eng.roh.eng 	| 17.5 	| 0.420 |
| Tatoeba-test.rom-eng.rom.eng 	| 5.0 	| 0.237 |
| Tatoeba-test.ron-eng.ron.eng 	| 51.4 	| 0.670 |
| Tatoeba-test.rue-eng.rue.eng 	| 26.0 	| 0.447 |
| Tatoeba-test.rus-eng.rus.eng 	| 47.8 	| 0.634 |
| Tatoeba-test.san-eng.san.eng 	| 4.0 	| 0.195 |
| Tatoeba-test.scn-eng.scn.eng 	| 45.1 	| 0.440 |
| Tatoeba-test.sco-eng.sco.eng 	| 41.9 	| 0.582 |
| Tatoeba-test.sgs-eng.sgs.eng 	| 38.7 	| 0.498 |
| Tatoeba-test.sin-eng.sin.eng 	| 29.7 	| 0.499 |
| Tatoeba-test.slv-eng.slv.eng 	| 38.2 	| 0.564 |
| Tatoeba-test.snd-eng.snd.eng 	| 12.7 	| 0.342 |
| Tatoeba-test.spa-eng.spa.eng 	| 53.2 	| 0.687 |
| Tatoeba-test.sqi-eng.sqi.eng 	| 51.9 	| 0.679 |
| Tatoeba-test.stq-eng.stq.eng 	| 9.0 	| 0.391 |
| Tatoeba-test.swe-eng.swe.eng 	| 57.4 	| 0.705 |
| Tatoeba-test.swg-eng.swg.eng 	| 18.0 	| 0.338 |
| Tatoeba-test.tgk-eng.tgk.eng 	| 24.3 	| 0.413 |
| Tatoeba-test.tly-eng.tly.eng 	| 1.1 	| 0.094 |
| Tatoeba-test.ukr-eng.ukr.eng 	| 48.0 	| 0.639 |
| Tatoeba-test.urd-eng.urd.eng 	| 27.2 	| 0.471 |
| Tatoeba-test.vec-eng.vec.eng 	| 28.0 	| 0.398 |
| Tatoeba-test.wln-eng.wln.eng 	| 17.5 	| 0.320 |
| Tatoeba-test.yid-eng.yid.eng 	| 26.9 	| 0.457 |
| Tatoeba-test.zza-eng.zza.eng 	| 1.7 	| 0.131 |

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

- source_languages: ine

- target_languages: eng

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

- original_repo: Tatoeba-Challenge

- tags: ['translation']

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

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

- tgt_constituents: {'eng'}

- src_multilingual: True

- tgt_multilingual: False

- prepro:  normalization + SentencePiece (spm32k,spm32k)

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

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

- src_alpha3: ine

- tgt_alpha3: eng

- short_pair: ine-en

- chrF2_score: 0.615

- bleu: 45.6

- brevity_penalty: 0.997

- ref_len: 71872.0

- src_name: Indo-European languages

- tgt_name: English

- train_date: 2020-08-01

- src_alpha2: ine

- tgt_alpha2: en

- prefer_old: False

- long_pair: ine-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-ee-sv

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

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.ee.sv 	| 28.9 	| 0.472 |


---
language:
- sh
- uk

tags:
- translation

license: apache-2.0
---

### hbs-ukr

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

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

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.hbs.ukr 	| 49.6 	| 0.665 |

### System Info:
- hf_name: hbs-ukr

- source_languages: hbs

- target_languages: ukr

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

- original_repo: Tatoeba-Challenge

- tags: ['translation']

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

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

- tgt_constituents: {'ukr'}

- src_multilingual: False

- tgt_multilingual: False

- prepro:  normalization + SentencePiece (spm32k,spm32k)

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

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

- src_alpha3: hbs

- tgt_alpha3: ukr

- short_pair: sh-uk

- chrF2_score: 0.665

- bleu: 49.6

- brevity_penalty: 0.9840000000000001

- ref_len: 4959.0

- src_name: Serbo-Croatian

- tgt_name: Ukrainian

- train_date: 2020-06-17

- src_alpha2: sh

- tgt_alpha2: uk

- prefer_old: False

- long_pair: hbs-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-en-mt

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

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.en.mt 	| 47.5 	| 0.640 |
| Tatoeba.en.mt 	| 25.0 	| 0.620 |


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

### opus-mt-cs-fi

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

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

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.cs.fi 	| 25.5 	| 0.523 |


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

### opus-mt-es-tn

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

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.es.tn 	| 32.2 	| 0.528 |


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

### opus-mt-fr-ro

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

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba.fr.ro 	| 42.1 	| 0.640 |


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

### opus-mt-en-hil

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

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.en.hil 	| 49.4 	| 0.696 |


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

### opus-mt-fi-tpi

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

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.fi.tpi 	| 30.5 	| 0.504 |


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

### opus-mt-sv-zne

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

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

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.sv.zne 	| 23.8 	| 0.474 |


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

### opus-mt-fi-ht

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

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.fi.ht 	| 27.1 	| 0.453 |


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

### opus-mt-bi-es

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

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.bi.es 	| 21.1 	| 0.388 |


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

### opus-mt-fi-id

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

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.fi.id 	| 33.8 	| 0.565 |


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

### opus-mt-es-sl

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

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.es.sl 	| 21.7 	| 0.455 |


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

### opus-mt-en-sk

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

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.en.sk 	| 36.8 	| 0.578 |


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

### opus-mt-ts-fi

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

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

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.ts.fi 	| 27.7 	| 0.509 |


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

### opus-mt-ber-fr

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

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

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba.ber.fr 	| 60.2 	| 0.754 |


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

### opus-mt-es-ny

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

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.es.ny 	| 22.9 	| 0.494 |


---
language:
- de
- af

tags:
- translation

license: apache-2.0
---

### deu-afr

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

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

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.deu.afr 	| 51.3 	| 0.690 |

### System Info:
- hf_name: deu-afr

- source_languages: deu

- target_languages: afr

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

- original_repo: Tatoeba-Challenge

- tags: ['translation']

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

- src_constituents: {'deu'}

- tgt_constituents: {'afr'}

- src_multilingual: False

- tgt_multilingual: False

- prepro:  normalization + SentencePiece (spm32k,spm32k)

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

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

- src_alpha3: deu

- tgt_alpha3: afr

- short_pair: de-af

- chrF2_score: 0.69

- bleu: 51.3

- brevity_penalty: 1.0

- ref_len: 9507.0

- src_name: German

- tgt_name: Afrikaans

- train_date: 2020-06-17

- src_alpha2: de

- tgt_alpha2: af

- prefer_old: False

- long_pair: deu-afr

- 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-eo-de

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

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba.eo.de 	| 45.5 	| 0.644 |


---
language:
- ru
- eu

tags:
- translation

license: apache-2.0
---

### rus-eus

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

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

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.rus.eus 	| 29.7 	| 0.539 |

### System Info:
- hf_name: rus-eus

- source_languages: rus

- target_languages: eus

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

- original_repo: Tatoeba-Challenge

- tags: ['translation']

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

- src_constituents: {'rus'}

- tgt_constituents: {'eus'}

- src_multilingual: False

- tgt_multilingual: False

- prepro:  normalization + SentencePiece (spm4k,spm4k)

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

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

- src_alpha3: rus

- tgt_alpha3: eus

- short_pair: ru-eu

- chrF2_score: 0.539

- bleu: 29.7

- brevity_penalty: 0.9440000000000001

- ref_len: 2373.0

- src_name: Russian

- tgt_name: Basque

- train_date: 2020-06-16

- src_alpha2: ru

- tgt_alpha2: eu

- prefer_old: False

- long_pair: rus-eus

- 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-ilo

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

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.de.ilo 	| 29.8 	| 0.533 |


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

### opus-mt-tll-sv

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

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.tll.sv 	| 25.6 	| 0.436 |


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

### opus-mt-fr-iso

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

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.fr.iso 	| 26.7 	| 0.429 |


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

### opus-mt-sv-mh

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

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

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.sv.mh 	| 23.8 	| 0.434 |


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

### opus-mt-en-ca

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

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

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba.en.ca 	| 47.2 	| 0.665 |


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

### opus-mt-fr-efi

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

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

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.fr.efi 	| 26.9 	| 0.462 |


---
language:
- be
- hr
- mk
- cs
- ru
- pl
- bg
- uk
- sl
- sla
- en

tags:
- translation

license: apache-2.0
---

### sla-eng

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

*  model: transformer
* source language(s): bel bel_Latn bos_Latn bul bul_Latn ces csb_Latn dsb hrv hsb mkd orv_Cyrl pol rue rus slv srp_Cyrl srp_Latn ukr
* target language(s): eng
* model: transformer
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* download original weights: [opus2m-2020-08-01.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/sla-eng/opus2m-2020-08-01.zip)
* test set translations: [opus2m-2020-08-01.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/sla-eng/opus2m-2020-08-01.test.txt)
* test set scores: [opus2m-2020-08-01.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/sla-eng/opus2m-2020-08-01.eval.txt)

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| newssyscomb2009-ceseng.ces.eng 	| 26.7 	| 0.542 |
| newstest2009-ceseng.ces.eng 	| 25.2 	| 0.534 |
| newstest2010-ceseng.ces.eng 	| 25.9 	| 0.545 |
| newstest2011-ceseng.ces.eng 	| 26.8 	| 0.544 |
| newstest2012-ceseng.ces.eng 	| 25.6 	| 0.536 |
| newstest2012-ruseng.rus.eng 	| 32.5 	| 0.588 |
| newstest2013-ceseng.ces.eng 	| 28.8 	| 0.556 |
| newstest2013-ruseng.rus.eng 	| 26.4 	| 0.532 |
| newstest2014-csen-ceseng.ces.eng 	| 31.4 	| 0.591 |
| newstest2014-ruen-ruseng.rus.eng 	| 29.6 	| 0.576 |
| newstest2015-encs-ceseng.ces.eng 	| 28.2 	| 0.545 |
| newstest2015-enru-ruseng.rus.eng 	| 28.1 	| 0.551 |
| newstest2016-encs-ceseng.ces.eng 	| 30.0 	| 0.567 |
| newstest2016-enru-ruseng.rus.eng 	| 27.4 	| 0.548 |
| newstest2017-encs-ceseng.ces.eng 	| 26.5 	| 0.537 |
| newstest2017-enru-ruseng.rus.eng 	| 31.0 	| 0.574 |
| newstest2018-encs-ceseng.ces.eng 	| 27.9 	| 0.548 |
| newstest2018-enru-ruseng.rus.eng 	| 26.8 	| 0.545 |
| newstest2019-ruen-ruseng.rus.eng 	| 29.1 	| 0.562 |
| Tatoeba-test.bel-eng.bel.eng 	| 42.5 	| 0.609 |
| Tatoeba-test.bul-eng.bul.eng 	| 55.4 	| 0.697 |
| Tatoeba-test.ces-eng.ces.eng 	| 53.1 	| 0.688 |
| Tatoeba-test.csb-eng.csb.eng 	| 23.1 	| 0.446 |
| Tatoeba-test.dsb-eng.dsb.eng 	| 31.1 	| 0.467 |
| Tatoeba-test.hbs-eng.hbs.eng 	| 56.1 	| 0.702 |
| Tatoeba-test.hsb-eng.hsb.eng 	| 46.2 	| 0.597 |
| Tatoeba-test.mkd-eng.mkd.eng 	| 54.5 	| 0.680 |
| Tatoeba-test.multi.eng 	| 53.2 	| 0.683 |
| Tatoeba-test.orv-eng.orv.eng 	| 12.1 	| 0.292 |
| Tatoeba-test.pol-eng.pol.eng 	| 51.1 	| 0.671 |
| Tatoeba-test.rue-eng.rue.eng 	| 19.6 	| 0.389 |
| Tatoeba-test.rus-eng.rus.eng 	| 54.1 	| 0.686 |
| Tatoeba-test.slv-eng.slv.eng 	| 43.4 	| 0.610 |
| Tatoeba-test.ukr-eng.ukr.eng 	| 53.8 	| 0.685 |

### System Info:
- hf_name: sla-eng

- source_languages: sla

- target_languages: eng

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

- original_repo: Tatoeba-Challenge

- tags: ['translation']

- languages: ['be', 'hr', 'mk', 'cs', 'ru', 'pl', 'bg', 'uk', 'sl', 'sla', 'en']

- src_constituents: {'bel', 'hrv', 'orv_Cyrl', 'mkd', 'bel_Latn', 'srp_Latn', 'bul_Latn', 'ces', 'bos_Latn', 'csb_Latn', 'dsb', 'hsb', 'rus', 'srp_Cyrl', 'pol', 'rue', 'bul', 'ukr', 'slv'}

- tgt_constituents: {'eng'}

- src_multilingual: True

- tgt_multilingual: False

- prepro:  normalization + SentencePiece (spm32k,spm32k)

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

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

- src_alpha3: sla

- tgt_alpha3: eng

- short_pair: sla-en

- chrF2_score: 0.6829999999999999

- bleu: 53.2

- brevity_penalty: 0.9740000000000001

- ref_len: 70897.0

- src_name: Slavic languages

- tgt_name: English

- train_date: 2020-08-01

- src_alpha2: sla

- tgt_alpha2: en

- prefer_old: False

- long_pair: sla-eng

- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535

- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b

- port_machine: brutasse

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


---
language:
- uk
- pt

tags:
- translation

license: apache-2.0
---

### ukr-por

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

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

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.ukr.por 	| 38.1 	| 0.601 |

### System Info:
- hf_name: ukr-por

- source_languages: ukr

- target_languages: por

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

- original_repo: Tatoeba-Challenge

- tags: ['translation']

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

- src_constituents: {'ukr'}

- tgt_constituents: {'por'}

- src_multilingual: False

- tgt_multilingual: False

- prepro:  normalization + SentencePiece (spm32k,spm32k)

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

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

- src_alpha3: ukr

- tgt_alpha3: por

- short_pair: uk-pt

- chrF2_score: 0.601

- bleu: 38.1

- brevity_penalty: 0.981

- ref_len: 21315.0

- src_name: Ukrainian

- tgt_name: Portuguese

- train_date: 2020-06-17

- src_alpha2: uk

- tgt_alpha2: pt

- prefer_old: False

- long_pair: ukr-por

- 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-uk

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

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba.fr.uk 	| 39.4 	| 0.581 |


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

### opus-mt-eo-fr

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

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

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba.eo.fr 	| 50.9 	| 0.675 |


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

### opus-mt-en-umb

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

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.en.umb 	| 28.6 	| 0.510 |


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

### opus-mt-he-fi

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

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

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.he.fi 	| 23.3 	| 0.492 |


---
language:
- tr
- az

tags:
- translation

license: apache-2.0
---

### tur-aze

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

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

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.tur.aze 	| 27.7 	| 0.551 |

### System Info:
- hf_name: tur-aze

- source_languages: tur

- target_languages: aze

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

- original_repo: Tatoeba-Challenge

- tags: ['translation']

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

- src_constituents: {'tur'}

- tgt_constituents: {'aze_Latn'}

- src_multilingual: False

- tgt_multilingual: False

- prepro:  normalization + SentencePiece (spm4k,spm4k)

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

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

- src_alpha3: tur

- tgt_alpha3: aze

- short_pair: tr-az

- chrF2_score: 0.551

- bleu: 27.7

- brevity_penalty: 1.0

- ref_len: 5436.0

- src_name: Turkish

- tgt_name: Azerbaijani

- train_date: 2020-06-16

- src_alpha2: tr

- tgt_alpha2: az

- prefer_old: False

- long_pair: tur-aze

- 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-pon

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

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.sv.pon 	| 26.0 	| 0.491 |


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

### opus-mt-ase-sv

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

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.ase.sv 	| 39.7 	| 0.576 |


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

### opus-mt-war-sv

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

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.war.sv 	| 31.4 	| 0.505 |


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

### opus-mt-sv-uk

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

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.sv.uk 	| 24.0 	| 0.447 |


---
language:
- ja
- hu

tags:
- translation

license: apache-2.0
---

### jpn-hun

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

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

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.jpn.hun 	| 12.2 	| 0.364 |

### System Info:
- hf_name: jpn-hun

- source_languages: jpn

- target_languages: hun

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

- original_repo: Tatoeba-Challenge

- tags: ['translation']

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

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

- tgt_constituents: {'hun'}

- src_multilingual: False

- tgt_multilingual: False

- prepro:  normalization + SentencePiece (spm32k,spm32k)

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

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

- src_alpha3: jpn

- tgt_alpha3: hun

- short_pair: ja-hu

- chrF2_score: 0.364

- bleu: 12.2

- brevity_penalty: 1.0

- ref_len: 18625.0

- src_name: Japanese

- tgt_name: Hungarian

- train_date: 2020-06-17

- src_alpha2: ja

- tgt_alpha2: hu

- prefer_old: False

- long_pair: jpn-hun

- 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-tpi

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

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.en.tpi 	| 38.7 	| 0.568 |


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

### opus-mt-fse-fi

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

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

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.fse.fi 	| 90.2 	| 0.943 |


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

### opus-mt-sv-ve

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

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

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.sv.ve 	| 26.4 	| 0.496 |


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

### opus-mt-kqn-fr

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

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.kqn.fr 	| 23.2 	| 0.400 |


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

### opus-mt-guw-en

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

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.guw.en 	| 44.8 	| 0.601 |