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

### opus-mt-is-sv

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

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.is.sv 	| 30.4 	| 0.495 |


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

### opus-mt-sv-ny

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

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.sv.ny 	| 25.9 	| 0.523 |


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

### opus-mt-fi-it

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

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba.fi.it 	| 42.7 	| 0.657 |


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

### opus-mt-ha-fi

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

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.ha.fi 	| 21.9 	| 0.435 |


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

### opus-mt-de-niu

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

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

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.de.niu 	| 28.4 	| 0.496 |


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

### opus-mt-en-gaa

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

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.en.gaa 	| 39.9 	| 0.593 |


---
language:
- pl
- cs
- zlw
- en

tags:
- translation

license: apache-2.0
---

### zlw-eng

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

*  model: transformer
* source language(s): ces csb_Latn dsb hsb pol
* 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/zlw-eng/opus2m-2020-08-01.zip)
* test set translations: [opus2m-2020-08-01.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/zlw-eng/opus2m-2020-08-01.test.txt)
* test set scores: [opus2m-2020-08-01.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/zlw-eng/opus2m-2020-08-01.eval.txt)

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| newssyscomb2009-ceseng.ces.eng 	| 25.7 	| 0.536 |
| newstest2009-ceseng.ces.eng 	| 24.6 	| 0.530 |
| newstest2010-ceseng.ces.eng 	| 25.0 	| 0.540 |
| newstest2011-ceseng.ces.eng 	| 25.9 	| 0.539 |
| newstest2012-ceseng.ces.eng 	| 24.8 	| 0.533 |
| newstest2013-ceseng.ces.eng 	| 27.8 	| 0.551 |
| newstest2014-csen-ceseng.ces.eng 	| 30.3 	| 0.585 |
| newstest2015-encs-ceseng.ces.eng 	| 27.5 	| 0.542 |
| newstest2016-encs-ceseng.ces.eng 	| 29.1 	| 0.564 |
| newstest2017-encs-ceseng.ces.eng 	| 26.0 	| 0.537 |
| newstest2018-encs-ceseng.ces.eng 	| 27.3 	| 0.544 |
| Tatoeba-test.ces-eng.ces.eng 	| 53.3 	| 0.691 |
| Tatoeba-test.csb-eng.csb.eng 	| 10.2 	| 0.313 |
| Tatoeba-test.dsb-eng.dsb.eng 	| 11.7 	| 0.296 |
| Tatoeba-test.hsb-eng.hsb.eng 	| 24.6 	| 0.426 |
| Tatoeba-test.multi.eng 	| 51.8 	| 0.680 |
| Tatoeba-test.pol-eng.pol.eng 	| 50.4 	| 0.667 |

### System Info:
- hf_name: zlw-eng

- source_languages: zlw

- target_languages: eng

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

- original_repo: Tatoeba-Challenge

- tags: ['translation']

- languages: ['pl', 'cs', 'zlw', 'en']

- src_constituents: {'csb_Latn', 'dsb', 'hsb', 'pol', 'ces'}

- tgt_constituents: {'eng'}

- src_multilingual: True

- tgt_multilingual: False

- prepro:  normalization + SentencePiece (spm32k,spm32k)

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

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

- src_alpha3: zlw

- tgt_alpha3: eng

- short_pair: zlw-en

- chrF2_score: 0.68

- bleu: 51.8

- brevity_penalty: 0.9620000000000001

- ref_len: 75742.0

- src_name: West Slavic languages

- tgt_name: English

- train_date: 2020-08-01

- src_alpha2: zlw

- tgt_alpha2: en

- prefer_old: False

- long_pair: zlw-eng

- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535

- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b

- port_machine: brutasse

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


---
language:
- eo
- ro

tags:
- translation

license: apache-2.0
---

### epo-ron

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

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

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.epo.ron 	| 19.4 	| 0.420 |

### System Info:
- hf_name: epo-ron

- source_languages: epo

- target_languages: ron

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

- original_repo: Tatoeba-Challenge

- tags: ['translation']

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

- src_constituents: {'epo'}

- tgt_constituents: {'ron'}

- src_multilingual: False

- tgt_multilingual: False

- prepro:  normalization + SentencePiece (spm4k,spm4k)

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

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

- src_alpha3: epo

- tgt_alpha3: ron

- short_pair: eo-ro

- chrF2_score: 0.42

- bleu: 19.4

- brevity_penalty: 0.9179999999999999

- ref_len: 25619.0

- src_name: Esperanto

- tgt_name: Romanian

- train_date: 2020-06-16

- src_alpha2: eo

- tgt_alpha2: ro

- prefer_old: False

- long_pair: epo-ron

- 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-yap-sv

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

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.yap.sv 	| 22.6 	| 0.399 |


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

### opus-mt-jap-en

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

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| bible-uedin.jap.en 	| 52.6 	| 0.703 |


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

### opus-mt-NORTH_EU-NORTH_EU

* source languages: de,nl,fy,af,da,fo,is,no,nb,nn,sv
* target languages: de,nl,fy,af,da,fo,is,no,nb,nn,sv
*  OPUS readme: [de+nl+fy+af+da+fo+is+no+nb+nn+sv-de+nl+fy+af+da+fo+is+no+nb+nn+sv](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/de+nl+fy+af+da+fo+is+no+nb+nn+sv-de+nl+fy+af+da+fo+is+no+nb+nn+sv/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-2020-01-15.zip](https://object.pouta.csc.fi/OPUS-MT-models/de+nl+fy+af+da+fo+is+no+nb+nn+sv-de+nl+fy+af+da+fo+is+no+nb+nn+sv/opus-2020-01-15.zip)
* test set translations: [opus-2020-01-15.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/de+nl+fy+af+da+fo+is+no+nb+nn+sv-de+nl+fy+af+da+fo+is+no+nb+nn+sv/opus-2020-01-15.test.txt)
* test set scores: [opus-2020-01-15.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/de+nl+fy+af+da+fo+is+no+nb+nn+sv-de+nl+fy+af+da+fo+is+no+nb+nn+sv/opus-2020-01-15.eval.txt)

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba.de.sv 	| 48.1 	| 0.663 |


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

### opus-mt-fr-bi

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

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.fr.bi 	| 28.4 	| 0.464 |


---
language:
- lv
- ru

tags:
- translation

license: apache-2.0
---

### lav-rus

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

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

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.lav.rus 	| 53.3 	| 0.702 |

### System Info:
- hf_name: lav-rus

- source_languages: lav

- target_languages: rus

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

- original_repo: Tatoeba-Challenge

- tags: ['translation']

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

- src_constituents: {'lav'}

- tgt_constituents: {'rus'}

- src_multilingual: False

- tgt_multilingual: False

- prepro:  normalization + SentencePiece (spm32k,spm32k)

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

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

- src_alpha3: lav

- tgt_alpha3: rus

- short_pair: lv-ru

- chrF2_score: 0.7020000000000001

- bleu: 53.3

- brevity_penalty: 0.9840000000000001

- ref_len: 1541.0

- src_name: Latvian

- tgt_name: Russian

- train_date: 2020-06-17

- src_alpha2: lv

- tgt_alpha2: ru

- prefer_old: False

- long_pair: lav-rus

- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535

- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b

- port_machine: brutasse

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


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

tags:
- translation

license: apache-2.0
---

### eng-fiu

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

*  model: transformer
* source language(s): eng
* target language(s): est fin fkv_Latn hun izh kpv krl liv_Latn mdf mhr myv sma sme udm vro
* model: transformer
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* a sentence initial language token is required in the form of `>>id<<` (id = valid target language ID)
* download original weights: [opus2m-2020-08-01.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-fiu/opus2m-2020-08-01.zip)
* test set translations: [opus2m-2020-08-01.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-fiu/opus2m-2020-08-01.test.txt)
* test set scores: [opus2m-2020-08-01.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-fiu/opus2m-2020-08-01.eval.txt)

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| newsdev2015-enfi-engfin.eng.fin 	| 18.7 	| 0.522 |
| newsdev2018-enet-engest.eng.est 	| 19.4 	| 0.521 |
| newssyscomb2009-enghun.eng.hun 	| 15.5 	| 0.472 |
| newstest2009-enghun.eng.hun 	| 15.4 	| 0.468 |
| newstest2015-enfi-engfin.eng.fin 	| 19.9 	| 0.532 |
| newstest2016-enfi-engfin.eng.fin 	| 21.1 	| 0.544 |
| newstest2017-enfi-engfin.eng.fin 	| 23.8 	| 0.567 |
| newstest2018-enet-engest.eng.est 	| 20.4 	| 0.532 |
| newstest2018-enfi-engfin.eng.fin 	| 15.6 	| 0.498 |
| newstest2019-enfi-engfin.eng.fin 	| 20.0 	| 0.520 |
| newstestB2016-enfi-engfin.eng.fin 	| 17.0 	| 0.512 |
| newstestB2017-enfi-engfin.eng.fin 	| 19.7 	| 0.531 |
| Tatoeba-test.eng-chm.eng.chm 	| 0.9 	| 0.115 |
| Tatoeba-test.eng-est.eng.est 	| 49.8 	| 0.689 |
| Tatoeba-test.eng-fin.eng.fin 	| 34.7 	| 0.597 |
| Tatoeba-test.eng-fkv.eng.fkv 	| 1.3 	| 0.187 |
| Tatoeba-test.eng-hun.eng.hun 	| 35.2 	| 0.589 |
| Tatoeba-test.eng-izh.eng.izh 	| 6.0 	| 0.163 |
| Tatoeba-test.eng-kom.eng.kom 	| 3.4 	| 0.012 |
| Tatoeba-test.eng-krl.eng.krl 	| 6.4 	| 0.202 |
| Tatoeba-test.eng-liv.eng.liv 	| 1.6 	| 0.102 |
| Tatoeba-test.eng-mdf.eng.mdf 	| 3.7 	| 0.008 |
| Tatoeba-test.eng.multi 	| 35.4 	| 0.590 |
| Tatoeba-test.eng-myv.eng.myv 	| 1.4 	| 0.014 |
| Tatoeba-test.eng-sma.eng.sma 	| 2.6 	| 0.097 |
| Tatoeba-test.eng-sme.eng.sme 	| 7.3 	| 0.221 |
| Tatoeba-test.eng-udm.eng.udm 	| 1.4 	| 0.079 |

### System Info:
- hf_name: eng-fiu

- source_languages: eng

- target_languages: fiu

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

- original_repo: Tatoeba-Challenge

- tags: ['translation']

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

- src_constituents: {'eng'}

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

- src_multilingual: False

- tgt_multilingual: True

- prepro:  normalization + SentencePiece (spm32k,spm32k)

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

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

- src_alpha3: eng

- tgt_alpha3: fiu

- short_pair: en-fiu

- chrF2_score: 0.59

- bleu: 35.4

- brevity_penalty: 0.9440000000000001

- ref_len: 59311.0

- src_name: English

- tgt_name: Finno-Ugrian languages

- train_date: 2020-08-01

- src_alpha2: en

- tgt_alpha2: fiu

- prefer_old: False

- long_pair: eng-fiu

- 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-bcl-en

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

*  dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-02-11.zip](https://object.pouta.csc.fi/OPUS-MT-models/bcl-en/opus-2020-02-11.zip)
* test set translations: [opus-2020-02-11.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/bcl-en/opus-2020-02-11.test.txt)
* test set scores: [opus-2020-02-11.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/bcl-en/opus-2020-02-11.eval.txt)

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.bcl.en 	| 56.1 	| 0.697 |


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

### opus-mt-fi-tll

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

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.fi.tll 	| 23.6 	| 0.478 |


---
language:
- is
- it

tags:
- translation

license: apache-2.0
---

### isl-ita

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

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

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.isl.ita 	| 46.7 	| 0.662 |

### System Info:
- hf_name: isl-ita

- source_languages: isl

- target_languages: ita

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

- original_repo: Tatoeba-Challenge

- tags: ['translation']

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

- src_constituents: {'isl'}

- tgt_constituents: {'ita'}

- src_multilingual: False

- tgt_multilingual: False

- prepro:  normalization + SentencePiece (spm32k,spm32k)

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

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

- src_alpha3: isl

- tgt_alpha3: ita

- short_pair: is-it

- chrF2_score: 0.662

- bleu: 46.7

- brevity_penalty: 0.977

- ref_len: 1450.0

- src_name: Icelandic

- tgt_name: Italian

- train_date: 2020-06-17

- src_alpha2: is

- tgt_alpha2: it

- prefer_old: False

- long_pair: isl-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-de-el

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

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba.de.el 	| 45.7 	| 0.649 |


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

### opus-mt-sv-iso

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

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.sv.iso 	| 27.2 	| 0.447 |


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

### opus-mt-en-bzs

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

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.en.bzs 	| 43.4 	| 0.612 |


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

### opus-mt-fr-pon

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

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.fr.pon 	| 23.9 	| 0.458 |


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

### opus-mt-sv-sg

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

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.sv.sg 	| 30.0 	| 0.487 |


---
language:
- en
- phi

tags:
- translation

license: apache-2.0
---

### eng-phi

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

*  model: transformer
* source language(s): eng
* target language(s): akl_Latn ceb hil ilo pag war
* 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-phi/opus2m-2020-08-01.zip)
* test set translations: [opus2m-2020-08-01.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-phi/opus2m-2020-08-01.test.txt)
* test set scores: [opus2m-2020-08-01.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-phi/opus2m-2020-08-01.eval.txt)

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.eng-akl.eng.akl 	| 7.1 	| 0.245 |
| Tatoeba-test.eng-ceb.eng.ceb 	| 10.5 	| 0.435 |
| Tatoeba-test.eng-hil.eng.hil 	| 18.0 	| 0.506 |
| Tatoeba-test.eng-ilo.eng.ilo 	| 33.4 	| 0.590 |
| Tatoeba-test.eng.multi 	| 13.1 	| 0.392 |
| Tatoeba-test.eng-pag.eng.pag 	| 19.4 	| 0.481 |
| Tatoeba-test.eng-war.eng.war 	| 12.8 	| 0.441 |

### System Info:
- hf_name: eng-phi

- source_languages: eng

- target_languages: phi

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

- original_repo: Tatoeba-Challenge

- tags: ['translation']

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

- src_constituents: {'eng'}

- tgt_constituents: {'ilo', 'akl_Latn', 'war', 'hil', 'pag', 'ceb'}

- src_multilingual: False

- tgt_multilingual: True

- prepro:  normalization + SentencePiece (spm32k,spm32k)

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

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

- src_alpha3: eng

- tgt_alpha3: phi

- short_pair: en-phi

- chrF2_score: 0.392

- bleu: 13.1

- brevity_penalty: 1.0

- ref_len: 30022.0

- src_name: English

- tgt_name: Philippine languages

- train_date: 2020-08-01

- src_alpha2: en

- tgt_alpha2: phi

- prefer_old: False

- long_pair: eng-phi

- 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-et-en

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

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| newsdev2018-enet.et.en 	| 30.1 	| 0.574 |
| newstest2018-enet.et.en 	| 30.3 	| 0.581 |
| Tatoeba.et.en 	| 59.9 	| 0.738 |


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

### opus-mt-fi-ZH

* source languages: fi
* target languages: cmn,cn,yue,ze_zh,zh_cn,zh_CN,zh_HK,zh_tw,zh_TW,zh_yue,zhs,zht,zh
*  OPUS readme: [fi-cmn+cn+yue+ze_zh+zh_cn+zh_CN+zh_HK+zh_tw+zh_TW+zh_yue+zhs+zht+zh](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fi-cmn+cn+yue+ze_zh+zh_cn+zh_CN+zh_HK+zh_tw+zh_TW+zh_yue+zhs+zht+zh/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/fi-cmn+cn+yue+ze_zh+zh_cn+zh_CN+zh_HK+zh_tw+zh_TW+zh_yue+zhs+zht+zh/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-cmn+cn+yue+ze_zh+zh_cn+zh_CN+zh_HK+zh_tw+zh_TW+zh_yue+zhs+zht+zh/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-cmn+cn+yue+ze_zh+zh_cn+zh_CN+zh_HK+zh_tw+zh_TW+zh_yue+zhs+zht+zh/opus-2020-01-16.eval.txt)

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| bible-uedin.fi.zh 	| 23.4 	| 0.326 |


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

### opus-mt-sv-bi

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

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.sv.bi 	| 30.8 	| 0.496 |


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

### opus-mt-kwy-sv

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

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.kwy.sv 	| 20.2 	| 0.373 |


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

### opus-mt-fr-kg

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

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.fr.kg 	| 30.4 	| 0.523 |


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

### opus-mt-bi-en

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

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.bi.en 	| 30.3 	| 0.458 |


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

tags:
- translation

license: apache-2.0
---

### eng-sla

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

*  model: transformer
* source language(s): eng
* target 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
* 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-sla/opus2m-2020-08-01.zip)
* test set translations: [opus2m-2020-08-01.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-sla/opus2m-2020-08-01.test.txt)
* test set scores: [opus2m-2020-08-01.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-sla/opus2m-2020-08-01.eval.txt)

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| newssyscomb2009-engces.eng.ces 	| 20.1 	| 0.484 |
| news-test2008-engces.eng.ces 	| 17.7 	| 0.461 |
| newstest2009-engces.eng.ces 	| 19.1 	| 0.479 |
| newstest2010-engces.eng.ces 	| 19.3 	| 0.483 |
| newstest2011-engces.eng.ces 	| 20.4 	| 0.486 |
| newstest2012-engces.eng.ces 	| 18.3 	| 0.461 |
| newstest2012-engrus.eng.rus 	| 27.4 	| 0.551 |
| newstest2013-engces.eng.ces 	| 21.5 	| 0.489 |
| newstest2013-engrus.eng.rus 	| 20.9 	| 0.490 |
| newstest2015-encs-engces.eng.ces 	| 21.1 	| 0.496 |
| newstest2015-enru-engrus.eng.rus 	| 24.5 	| 0.536 |
| newstest2016-encs-engces.eng.ces 	| 23.6 	| 0.515 |
| newstest2016-enru-engrus.eng.rus 	| 23.0 	| 0.519 |
| newstest2017-encs-engces.eng.ces 	| 19.2 	| 0.474 |
| newstest2017-enru-engrus.eng.rus 	| 25.0 	| 0.541 |
| newstest2018-encs-engces.eng.ces 	| 19.3 	| 0.479 |
| newstest2018-enru-engrus.eng.rus 	| 22.3 	| 0.526 |
| newstest2019-encs-engces.eng.ces 	| 20.4 	| 0.486 |
| newstest2019-enru-engrus.eng.rus 	| 24.0 	| 0.506 |
| Tatoeba-test.eng-bel.eng.bel 	| 22.9 	| 0.489 |
| Tatoeba-test.eng-bul.eng.bul 	| 46.7 	| 0.652 |
| Tatoeba-test.eng-ces.eng.ces 	| 42.7 	| 0.624 |
| Tatoeba-test.eng-csb.eng.csb 	| 1.4 	| 0.210 |
| Tatoeba-test.eng-dsb.eng.dsb 	| 1.4 	| 0.165 |
| Tatoeba-test.eng-hbs.eng.hbs 	| 40.3 	| 0.616 |
| Tatoeba-test.eng-hsb.eng.hsb 	| 14.3 	| 0.344 |
| Tatoeba-test.eng-mkd.eng.mkd 	| 44.1 	| 0.635 |
| Tatoeba-test.eng.multi 	| 41.0 	| 0.610 |
| Tatoeba-test.eng-orv.eng.orv 	| 0.3 	| 0.014 |
| Tatoeba-test.eng-pol.eng.pol 	| 42.0 	| 0.637 |
| Tatoeba-test.eng-rue.eng.rue 	| 0.3 	| 0.012 |
| Tatoeba-test.eng-rus.eng.rus 	| 40.5 	| 0.612 |
| Tatoeba-test.eng-slv.eng.slv 	| 18.8 	| 0.357 |
| Tatoeba-test.eng-ukr.eng.ukr 	| 38.8 	| 0.600 |

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

- source_languages: eng

- target_languages: sla

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

- original_repo: Tatoeba-Challenge

- tags: ['translation']

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

- src_constituents: {'eng'}

- tgt_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'}

- src_multilingual: False

- tgt_multilingual: True

- prepro:  normalization + SentencePiece (spm32k,spm32k)

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

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

- src_alpha3: eng

- tgt_alpha3: sla

- short_pair: en-sla

- chrF2_score: 0.61

- bleu: 41.0

- brevity_penalty: 0.976

- ref_len: 64809.0

- src_name: English

- tgt_name: Slavic languages

- train_date: 2020-08-01

- src_alpha2: en

- tgt_alpha2: sla

- prefer_old: False

- long_pair: eng-sla

- 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-ht-fi

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

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.ht.fi 	| 23.3 	| 0.464 |


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

tags:
- translation

license: apache-2.0
---

### eng-nic

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

*  model: transformer
* source language(s): eng
* target language(s): bam_Latn 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: [opus-2020-07-27.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-nic/opus-2020-07-27.zip)
* test set translations: [opus-2020-07-27.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-nic/opus-2020-07-27.test.txt)
* test set scores: [opus-2020-07-27.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-nic/opus-2020-07-27.eval.txt)

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.eng-bam.eng.bam 	| 6.2 	| 0.029 |
| Tatoeba-test.eng-ewe.eng.ewe 	| 4.5 	| 0.258 |
| Tatoeba-test.eng-ful.eng.ful 	| 0.5 	| 0.073 |
| Tatoeba-test.eng-ibo.eng.ibo 	| 3.9 	| 0.267 |
| Tatoeba-test.eng-kin.eng.kin 	| 6.4 	| 0.475 |
| Tatoeba-test.eng-lin.eng.lin 	| 1.2 	| 0.308 |
| Tatoeba-test.eng-lug.eng.lug 	| 3.9 	| 0.405 |
| Tatoeba-test.eng.multi 	| 11.1 	| 0.427 |
| Tatoeba-test.eng-nya.eng.nya 	| 14.0 	| 0.622 |
| Tatoeba-test.eng-run.eng.run 	| 13.6 	| 0.477 |
| Tatoeba-test.eng-sag.eng.sag 	| 5.5 	| 0.199 |
| Tatoeba-test.eng-sna.eng.sna 	| 19.6 	| 0.557 |
| Tatoeba-test.eng-swa.eng.swa 	| 1.8 	| 0.163 |
| Tatoeba-test.eng-toi.eng.toi 	| 8.3 	| 0.231 |
| Tatoeba-test.eng-tso.eng.tso 	| 50.0 	| 0.789 |
| Tatoeba-test.eng-umb.eng.umb 	| 7.8 	| 0.342 |
| Tatoeba-test.eng-wol.eng.wol 	| 6.7 	| 0.143 |
| Tatoeba-test.eng-xho.eng.xho 	| 26.4 	| 0.620 |
| Tatoeba-test.eng-yor.eng.yor 	| 15.5 	| 0.342 |
| Tatoeba-test.eng-zul.eng.zul 	| 35.9 	| 0.750 |

### System Info:
- hf_name: eng-nic

- source_languages: eng

- target_languages: nic

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

- original_repo: Tatoeba-Challenge

- tags: ['translation']

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

- src_constituents: {'eng'}

- tgt_constituents: {'bam_Latn', '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-nic/opus-2020-07-27.zip

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

- src_alpha3: eng

- tgt_alpha3: nic

- short_pair: en-nic

- chrF2_score: 0.42700000000000005

- bleu: 11.1

- brevity_penalty: 1.0

- ref_len: 10625.0

- src_name: English

- tgt_name: Niger-Kordofanian languages

- train_date: 2020-07-27

- src_alpha2: en

- tgt_alpha2: nic

- prefer_old: False

- long_pair: eng-nic

- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535

- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b

- port_machine: brutasse

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


---
language:
- dsb
- cs
- csb_Latn
- hsb
- pl
- zlw
- hu
- vro
- fi
- liv_Latn
- mdf
- krl
- fkv_Latn
- mhr
- et
- sma
- udm
- vep
- myv
- kpv
- se
- izh
- fiu

tags:
- translation

license: apache-2.0
---
### zlw-fiu
* source language name: West Slavic languages
* target language name: Finno-Ugrian languages
* OPUS readme: [README.md](https://object.pouta.csc.fi/Tatoeba-MT-models/zlw-fiu/README.md)
* model: transformer
* source language codes: dsb, cs, csb_Latn, hsb, pl, zlw
* target language codes: hu, vro, fi, liv_Latn, mdf, krl, fkv_Latn, mhr, et, sma, udm, vep, myv, kpv, se, izh, fiu
* dataset: opus
* release date: 2021-02-18
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* download original weights: [opus-2021-02-18.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/zlw-fiu/opus-2021-02-18.zip/zlw-fiu/opus-2021-02-18.zip)
* a sentence-initial language token is required in the form of >>id<<(id = valid, usually three-letter target language ID)
* Training data:
  * ces-fin: Tatoeba-train (1000000)
  * ces-hun: Tatoeba-train (1000000)
  * pol-est: Tatoeba-train (1000000)
  * pol-fin: Tatoeba-train (1000000)
  * pol-hun: Tatoeba-train (1000000)
* Validation data:
  * ces-fin: Tatoeba-dev, 1000
  * ces-hun: Tatoeba-dev, 1000
  * est-pol: Tatoeba-dev, 1000
  * fin-pol: Tatoeba-dev, 1000
  * hun-pol: Tatoeba-dev, 1000
  * mhr-pol: Tatoeba-dev, 461
  * total-size-shuffled: 5426
  * devset-selected: top 5000  lines of Tatoeba-dev.src.shuffled!
* Test data:
  * newssyscomb2009.ces-hun: 502/9733
  * newstest2009.ces-hun: 2525/54965
  * Tatoeba-test.ces-fin: 88/408
  * Tatoeba-test.ces-hun: 1911/10336
  * Tatoeba-test.multi-multi: 4562/25497
  * Tatoeba-test.pol-chm: 5/36
  * Tatoeba-test.pol-est: 15/98
  * Tatoeba-test.pol-fin: 609/3293
  * Tatoeba-test.pol-hun: 1934/11285
* test set translations file: [test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/zlw-fiu/opus-2021-02-18.zip/zlw-fiu/opus-2021-02-18.test.txt)
* test set scores file: [eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/zlw-fiu/opus-2021-02-18.zip/zlw-fiu/opus-2021-02-18.eval.txt)
* BLEU-scores
|Test set|score|
|---|---|
|Tatoeba-test.ces-fin|57.2|
|Tatoeba-test.ces-hun|42.6|
|Tatoeba-test.multi-multi|39.4|
|Tatoeba-test.pol-hun|36.6|
|Tatoeba-test.pol-fin|36.1|
|Tatoeba-test.pol-est|20.9|
|newssyscomb2009.ces-hun|13.9|
|newstest2009.ces-hun|13.9|
|Tatoeba-test.pol-chm|2.0|
* chr-F-scores
|Test set|score|
|---|---|
|Tatoeba-test.ces-fin|0.71|
|Tatoeba-test.ces-hun|0.637|
|Tatoeba-test.multi-multi|0.616|
|Tatoeba-test.pol-hun|0.605|
|Tatoeba-test.pol-fin|0.592|
|newssyscomb2009.ces-hun|0.449|
|newstest2009.ces-hun|0.443|
|Tatoeba-test.pol-est|0.372|
|Tatoeba-test.pol-chm|0.007|

### System Info:
* hf_name: zlw-fiu
* source_languages: dsb,cs,csb_Latn,hsb,pl,zlw
* target_languages: hu,vro,fi,liv_Latn,mdf,krl,fkv_Latn,mhr,et,sma,udm,vep,myv,kpv,se,izh,fiu
* opus_readme_url: https://object.pouta.csc.fi/Tatoeba-MT-models/zlw-fiu/opus-2021-02-18.zip/README.md
* original_repo: Tatoeba-Challenge
* tags: ['translation']
* languages: ['dsb', 'cs', 'csb_Latn', 'hsb', 'pl', 'zlw', 'hu', 'vro', 'fi', 'liv_Latn', 'mdf', 'krl', 'fkv_Latn', 'mhr', 'et', 'sma', 'udm', 'vep', 'myv', 'kpv', 'se', 'izh', 'fiu']
* src_constituents: ['dsb', 'ces', 'csb_Latn', 'hsb', 'pol']
* tgt_constituents: ['hun', 'vro', 'fin', 'liv_Latn', 'mdf', 'krl', 'fkv_Latn', 'mhr', 'est', 'sma', 'udm', 'vep', 'myv', 'kpv', 'sme', 'izh']
* src_multilingual: True
* tgt_multilingual: True
* helsinki_git_sha: a0966db6db0ae616a28471ff0faf461b36fec07d
* transformers_git_sha: 3857f2b4e34912c942694489c2b667d9476e55f5
* port_machine: bungle
* port_time: 2021-06-29-15:24


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

### opus-mt-ceb-fi

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

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.ceb.fi 	| 27.4 	| 0.525 |


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

### opus-mt-lg-sv

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

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.lg.sv 	| 24.5 	| 0.423 |


---
language:
- en
- ca
- es
- os
- eo
- ro
- fy
- cy
- is
- lb
- su
- an
- sq
- fr
- ht
- rm
- cv
- ig
- am
- eu
- tr
- ps
- af
- ny
- ch
- uk
- sl
- lt
- tk
- sg
- ar
- lg
- bg
- be
- ka
- gd
- ja
- si
- br
- mh
- km
- th
- ty
- rw
- te
- mk
- or
- wo
- kl
- mr
- ru
- yo
- hu
- fo
- zh
- ti
- co
- ee
- oc
- sn
- mt
- ts
- pl
- gl
- nb
- bn
- tt
- bo
- lo
- id
- gn
- nv
- hy
- kn
- to
- io
- so
- vi
- da
- fj
- gv
- sm
- nl
- mi
- pt
- hi
- se
- as
- ta
- et
- kw
- ga
- sv
- ln
- na
- mn
- gu
- wa
- lv
- jv
- el
- my
- ba
- it
- hr
- ur
- ce
- nn
- fi
- mg
- rn
- xh
- ab
- de
- cs
- he
- zu
- yi
- ml
- mul

tags:
- translation

license: apache-2.0
---

### eng-mul

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

*  model: transformer
* source language(s): eng
* target language(s): abk acm ady afb afh_Latn afr akl_Latn aln amh ang_Latn apc ara arg arq ary arz asm ast avk_Latn awa aze_Latn bak bam_Latn bel bel_Latn ben bho bod bos_Latn bre brx brx_Latn bul bul_Latn cat ceb ces cha che chr chv cjy_Hans cjy_Hant cmn cmn_Hans cmn_Hant cor cos crh crh_Latn csb_Latn cym dan deu dsb dtp dws_Latn egl ell enm_Latn epo est eus ewe ext fao fij fin fkv_Latn fra frm_Latn frr fry fuc fuv gan gcf_Latn gil gla gle glg glv gom gos got_Goth grc_Grek grn gsw guj hat hau_Latn haw heb hif_Latn hil hin hnj_Latn hoc hoc_Latn hrv hsb hun hye iba ibo ido ido_Latn ike_Latn ile_Latn ilo ina_Latn ind isl ita izh jav jav_Java jbo jbo_Cyrl jbo_Latn jdt_Cyrl jpn kab kal kan kat kaz_Cyrl kaz_Latn kek_Latn kha khm khm_Latn kin kir_Cyrl kjh kpv krl ksh kum kur_Arab kur_Latn lad lad_Latn lao lat_Latn lav ldn_Latn lfn_Cyrl lfn_Latn lij lin lit liv_Latn lkt lld_Latn lmo ltg ltz lug lzh lzh_Hans mad mah mai mal mar max_Latn mdf mfe mhr mic min mkd mlg mlt mnw moh mon mri mwl mww mya myv nan nau nav nds niu nld nno nob nob_Hebr nog non_Latn nov_Latn npi nya oci ori orv_Cyrl oss ota_Arab ota_Latn pag pan_Guru pap pau pdc pes pes_Latn pes_Thaa pms pnb pol por ppl_Latn prg_Latn pus quc qya qya_Latn rap rif_Latn roh rom ron rue run rus sag sah san_Deva scn sco sgs shs_Latn shy_Latn sin sjn_Latn slv sma sme smo sna snd_Arab som spa sqi srp_Cyrl srp_Latn stq sun swe swg swh tah tam tat tat_Arab tat_Latn tel tet tgk_Cyrl tha tir tlh_Latn tly_Latn tmw_Latn toi_Latn ton tpw_Latn tso tuk tuk_Latn tur tvl tyv tzl tzl_Latn udm uig_Arab uig_Cyrl ukr umb urd uzb_Cyrl uzb_Latn vec vie vie_Hani vol_Latn vro war wln wol wuu xal xho yid yor yue yue_Hans yue_Hant zho zho_Hans zho_Hant zlm_Latn zsm_Latn zul zza
* model: transformer
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* a sentence initial language token is required in the form of `>>id<<` (id = valid target language ID)
* download original weights: [opus2m-2020-08-01.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-mul/opus2m-2020-08-01.zip)
* test set translations: [opus2m-2020-08-01.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-mul/opus2m-2020-08-01.test.txt)
* test set scores: [opus2m-2020-08-01.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-mul/opus2m-2020-08-01.eval.txt)

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| newsdev2014-enghin.eng.hin 	| 5.0 	| 0.288 |
| newsdev2015-enfi-engfin.eng.fin 	| 9.3 	| 0.418 |
| newsdev2016-enro-engron.eng.ron 	| 17.2 	| 0.488 |
| newsdev2016-entr-engtur.eng.tur 	| 8.2 	| 0.402 |
| newsdev2017-enlv-englav.eng.lav 	| 12.9 	| 0.444 |
| newsdev2017-enzh-engzho.eng.zho 	| 17.6 	| 0.170 |
| newsdev2018-enet-engest.eng.est 	| 10.9 	| 0.423 |
| newsdev2019-engu-engguj.eng.guj 	| 5.2 	| 0.284 |
| newsdev2019-enlt-englit.eng.lit 	| 11.0 	| 0.431 |
| newsdiscussdev2015-enfr-engfra.eng.fra 	| 22.6 	| 0.521 |
| newsdiscusstest2015-enfr-engfra.eng.fra 	| 25.9 	| 0.546 |
| newssyscomb2009-engces.eng.ces 	| 10.3 	| 0.394 |
| newssyscomb2009-engdeu.eng.deu 	| 13.3 	| 0.459 |
| newssyscomb2009-engfra.eng.fra 	| 21.5 	| 0.522 |
| newssyscomb2009-enghun.eng.hun 	| 8.1 	| 0.371 |
| newssyscomb2009-engita.eng.ita 	| 22.1 	| 0.540 |
| newssyscomb2009-engspa.eng.spa 	| 23.8 	| 0.531 |
| news-test2008-engces.eng.ces 	| 9.0 	| 0.376 |
| news-test2008-engdeu.eng.deu 	| 14.2 	| 0.451 |
| news-test2008-engfra.eng.fra 	| 19.8 	| 0.500 |
| news-test2008-engspa.eng.spa 	| 22.8 	| 0.518 |
| newstest2009-engces.eng.ces 	| 9.8 	| 0.392 |
| newstest2009-engdeu.eng.deu 	| 13.7 	| 0.454 |
| newstest2009-engfra.eng.fra 	| 20.7 	| 0.514 |
| newstest2009-enghun.eng.hun 	| 8.4 	| 0.370 |
| newstest2009-engita.eng.ita 	| 22.4 	| 0.538 |
| newstest2009-engspa.eng.spa 	| 23.5 	| 0.532 |
| newstest2010-engces.eng.ces 	| 10.0 	| 0.393 |
| newstest2010-engdeu.eng.deu 	| 15.2 	| 0.463 |
| newstest2010-engfra.eng.fra 	| 22.0 	| 0.524 |
| newstest2010-engspa.eng.spa 	| 27.2 	| 0.556 |
| newstest2011-engces.eng.ces 	| 10.8 	| 0.392 |
| newstest2011-engdeu.eng.deu 	| 14.2 	| 0.449 |
| newstest2011-engfra.eng.fra 	| 24.3 	| 0.544 |
| newstest2011-engspa.eng.spa 	| 28.3 	| 0.559 |
| newstest2012-engces.eng.ces 	| 9.9 	| 0.377 |
| newstest2012-engdeu.eng.deu 	| 14.3 	| 0.449 |
| newstest2012-engfra.eng.fra 	| 23.2 	| 0.530 |
| newstest2012-engrus.eng.rus 	| 16.0 	| 0.463 |
| newstest2012-engspa.eng.spa 	| 27.8 	| 0.555 |
| newstest2013-engces.eng.ces 	| 11.0 	| 0.392 |
| newstest2013-engdeu.eng.deu 	| 16.4 	| 0.469 |
| newstest2013-engfra.eng.fra 	| 22.6 	| 0.515 |
| newstest2013-engrus.eng.rus 	| 12.1 	| 0.414 |
| newstest2013-engspa.eng.spa 	| 24.9 	| 0.532 |
| newstest2014-hien-enghin.eng.hin 	| 7.2 	| 0.311 |
| newstest2015-encs-engces.eng.ces 	| 10.9 	| 0.396 |
| newstest2015-ende-engdeu.eng.deu 	| 18.3 	| 0.490 |
| newstest2015-enfi-engfin.eng.fin 	| 10.1 	| 0.421 |
| newstest2015-enru-engrus.eng.rus 	| 14.5 	| 0.445 |
| newstest2016-encs-engces.eng.ces 	| 12.2 	| 0.408 |
| newstest2016-ende-engdeu.eng.deu 	| 21.4 	| 0.517 |
| newstest2016-enfi-engfin.eng.fin 	| 11.2 	| 0.435 |
| newstest2016-enro-engron.eng.ron 	| 16.6 	| 0.472 |
| newstest2016-enru-engrus.eng.rus 	| 13.4 	| 0.435 |
| newstest2016-entr-engtur.eng.tur 	| 8.1 	| 0.385 |
| newstest2017-encs-engces.eng.ces 	| 9.6 	| 0.377 |
| newstest2017-ende-engdeu.eng.deu 	| 17.9 	| 0.482 |
| newstest2017-enfi-engfin.eng.fin 	| 11.8 	| 0.440 |
| newstest2017-enlv-englav.eng.lav 	| 9.6 	| 0.412 |
| newstest2017-enru-engrus.eng.rus 	| 14.1 	| 0.446 |
| newstest2017-entr-engtur.eng.tur 	| 8.0 	| 0.378 |
| newstest2017-enzh-engzho.eng.zho 	| 16.8 	| 0.175 |
| newstest2018-encs-engces.eng.ces 	| 9.8 	| 0.380 |
| newstest2018-ende-engdeu.eng.deu 	| 23.8 	| 0.536 |
| newstest2018-enet-engest.eng.est 	| 11.8 	| 0.433 |
| newstest2018-enfi-engfin.eng.fin 	| 7.8 	| 0.398 |
| newstest2018-enru-engrus.eng.rus 	| 12.2 	| 0.434 |
| newstest2018-entr-engtur.eng.tur 	| 7.5 	| 0.383 |
| newstest2018-enzh-engzho.eng.zho 	| 18.3 	| 0.179 |
| newstest2019-encs-engces.eng.ces 	| 10.7 	| 0.389 |
| newstest2019-ende-engdeu.eng.deu 	| 21.0 	| 0.512 |
| newstest2019-enfi-engfin.eng.fin 	| 10.4 	| 0.420 |
| newstest2019-engu-engguj.eng.guj 	| 5.8 	| 0.297 |
| newstest2019-enlt-englit.eng.lit 	| 8.0 	| 0.388 |
| newstest2019-enru-engrus.eng.rus 	| 13.0 	| 0.415 |
| newstest2019-enzh-engzho.eng.zho 	| 15.0 	| 0.192 |
| newstestB2016-enfi-engfin.eng.fin 	| 9.0 	| 0.414 |
| newstestB2017-enfi-engfin.eng.fin 	| 9.5 	| 0.415 |
| Tatoeba-test.eng-abk.eng.abk 	| 4.2 	| 0.275 |
| Tatoeba-test.eng-ady.eng.ady 	| 0.4 	| 0.006 |
| Tatoeba-test.eng-afh.eng.afh 	| 1.0 	| 0.058 |
| Tatoeba-test.eng-afr.eng.afr 	| 47.0 	| 0.663 |
| Tatoeba-test.eng-akl.eng.akl 	| 2.7 	| 0.080 |
| Tatoeba-test.eng-amh.eng.amh 	| 8.5 	| 0.455 |
| Tatoeba-test.eng-ang.eng.ang 	| 6.2 	| 0.138 |
| Tatoeba-test.eng-ara.eng.ara 	| 6.3 	| 0.325 |
| Tatoeba-test.eng-arg.eng.arg 	| 1.5 	| 0.107 |
| Tatoeba-test.eng-asm.eng.asm 	| 2.1 	| 0.265 |
| Tatoeba-test.eng-ast.eng.ast 	| 15.7 	| 0.393 |
| Tatoeba-test.eng-avk.eng.avk 	| 0.2 	| 0.095 |
| Tatoeba-test.eng-awa.eng.awa 	| 0.1 	| 0.002 |
| Tatoeba-test.eng-aze.eng.aze 	| 19.0 	| 0.500 |
| Tatoeba-test.eng-bak.eng.bak 	| 12.7 	| 0.379 |
| Tatoeba-test.eng-bam.eng.bam 	| 8.3 	| 0.037 |
| Tatoeba-test.eng-bel.eng.bel 	| 13.5 	| 0.396 |
| Tatoeba-test.eng-ben.eng.ben 	| 10.0 	| 0.383 |
| Tatoeba-test.eng-bho.eng.bho 	| 0.1 	| 0.003 |
| Tatoeba-test.eng-bod.eng.bod 	| 0.0 	| 0.147 |
| Tatoeba-test.eng-bre.eng.bre 	| 7.6 	| 0.275 |
| Tatoeba-test.eng-brx.eng.brx 	| 0.8 	| 0.060 |
| Tatoeba-test.eng-bul.eng.bul 	| 32.1 	| 0.542 |
| Tatoeba-test.eng-cat.eng.cat 	| 37.0 	| 0.595 |
| Tatoeba-test.eng-ceb.eng.ceb 	| 9.6 	| 0.409 |
| Tatoeba-test.eng-ces.eng.ces 	| 24.0 	| 0.475 |
| Tatoeba-test.eng-cha.eng.cha 	| 3.9 	| 0.228 |
| Tatoeba-test.eng-che.eng.che 	| 0.7 	| 0.013 |
| Tatoeba-test.eng-chm.eng.chm 	| 2.6 	| 0.212 |
| Tatoeba-test.eng-chr.eng.chr 	| 6.0 	| 0.190 |
| Tatoeba-test.eng-chv.eng.chv 	| 6.5 	| 0.369 |
| Tatoeba-test.eng-cor.eng.cor 	| 0.9 	| 0.086 |
| Tatoeba-test.eng-cos.eng.cos 	| 4.2 	| 0.174 |
| Tatoeba-test.eng-crh.eng.crh 	| 9.9 	| 0.361 |
| Tatoeba-test.eng-csb.eng.csb 	| 3.4 	| 0.230 |
| Tatoeba-test.eng-cym.eng.cym 	| 18.0 	| 0.418 |
| Tatoeba-test.eng-dan.eng.dan 	| 42.5 	| 0.624 |
| Tatoeba-test.eng-deu.eng.deu 	| 25.2 	| 0.505 |
| Tatoeba-test.eng-dsb.eng.dsb 	| 0.9 	| 0.121 |
| Tatoeba-test.eng-dtp.eng.dtp 	| 0.3 	| 0.084 |
| Tatoeba-test.eng-dws.eng.dws 	| 0.2 	| 0.040 |
| Tatoeba-test.eng-egl.eng.egl 	| 0.4 	| 0.085 |
| Tatoeba-test.eng-ell.eng.ell 	| 28.7 	| 0.543 |
| Tatoeba-test.eng-enm.eng.enm 	| 3.3 	| 0.295 |
| Tatoeba-test.eng-epo.eng.epo 	| 33.4 	| 0.570 |
| Tatoeba-test.eng-est.eng.est 	| 30.3 	| 0.545 |
| Tatoeba-test.eng-eus.eng.eus 	| 18.5 	| 0.486 |
| Tatoeba-test.eng-ewe.eng.ewe 	| 6.8 	| 0.272 |
| Tatoeba-test.eng-ext.eng.ext 	| 5.0 	| 0.228 |
| Tatoeba-test.eng-fao.eng.fao 	| 5.2 	| 0.277 |
| Tatoeba-test.eng-fas.eng.fas 	| 6.9 	| 0.265 |
| Tatoeba-test.eng-fij.eng.fij 	| 31.5 	| 0.365 |
| Tatoeba-test.eng-fin.eng.fin 	| 18.5 	| 0.459 |
| Tatoeba-test.eng-fkv.eng.fkv 	| 0.9 	| 0.132 |
| Tatoeba-test.eng-fra.eng.fra 	| 31.5 	| 0.546 |
| Tatoeba-test.eng-frm.eng.frm 	| 0.9 	| 0.128 |
| Tatoeba-test.eng-frr.eng.frr 	| 3.0 	| 0.025 |
| Tatoeba-test.eng-fry.eng.fry 	| 14.4 	| 0.387 |
| Tatoeba-test.eng-ful.eng.ful 	| 0.4 	| 0.061 |
| Tatoeba-test.eng-gcf.eng.gcf 	| 0.3 	| 0.075 |
| Tatoeba-test.eng-gil.eng.gil 	| 47.4 	| 0.706 |
| Tatoeba-test.eng-gla.eng.gla 	| 10.9 	| 0.341 |
| Tatoeba-test.eng-gle.eng.gle 	| 26.8 	| 0.493 |
| Tatoeba-test.eng-glg.eng.glg 	| 32.5 	| 0.565 |
| Tatoeba-test.eng-glv.eng.glv 	| 21.5 	| 0.395 |
| Tatoeba-test.eng-gos.eng.gos 	| 0.3 	| 0.124 |
| Tatoeba-test.eng-got.eng.got 	| 0.2 	| 0.010 |
| Tatoeba-test.eng-grc.eng.grc 	| 0.0 	| 0.005 |
| Tatoeba-test.eng-grn.eng.grn 	| 1.5 	| 0.129 |
| Tatoeba-test.eng-gsw.eng.gsw 	| 0.6 	| 0.106 |
| Tatoeba-test.eng-guj.eng.guj 	| 15.4 	| 0.347 |
| Tatoeba-test.eng-hat.eng.hat 	| 31.1 	| 0.527 |
| Tatoeba-test.eng-hau.eng.hau 	| 6.5 	| 0.385 |
| Tatoeba-test.eng-haw.eng.haw 	| 0.2 	| 0.066 |
| Tatoeba-test.eng-hbs.eng.hbs 	| 28.7 	| 0.531 |
| Tatoeba-test.eng-heb.eng.heb 	| 21.3 	| 0.443 |
| Tatoeba-test.eng-hif.eng.hif 	| 2.8 	| 0.268 |
| Tatoeba-test.eng-hil.eng.hil 	| 12.0 	| 0.463 |
| Tatoeba-test.eng-hin.eng.hin 	| 13.0 	| 0.401 |
| Tatoeba-test.eng-hmn.eng.hmn 	| 0.2 	| 0.073 |
| Tatoeba-test.eng-hoc.eng.hoc 	| 0.2 	| 0.077 |
| Tatoeba-test.eng-hsb.eng.hsb 	| 5.7 	| 0.308 |
| Tatoeba-test.eng-hun.eng.hun 	| 17.1 	| 0.431 |
| Tatoeba-test.eng-hye.eng.hye 	| 15.0 	| 0.378 |
| Tatoeba-test.eng-iba.eng.iba 	| 16.0 	| 0.437 |
| Tatoeba-test.eng-ibo.eng.ibo 	| 2.9 	| 0.221 |
| Tatoeba-test.eng-ido.eng.ido 	| 11.5 	| 0.403 |
| Tatoeba-test.eng-iku.eng.iku 	| 2.3 	| 0.089 |
| Tatoeba-test.eng-ile.eng.ile 	| 4.3 	| 0.282 |
| Tatoeba-test.eng-ilo.eng.ilo 	| 26.4 	| 0.522 |
| Tatoeba-test.eng-ina.eng.ina 	| 20.9 	| 0.493 |
| Tatoeba-test.eng-isl.eng.isl 	| 12.5 	| 0.375 |
| Tatoeba-test.eng-ita.eng.ita 	| 33.9 	| 0.592 |
| Tatoeba-test.eng-izh.eng.izh 	| 4.6 	| 0.050 |
| Tatoeba-test.eng-jav.eng.jav 	| 7.8 	| 0.328 |
| Tatoeba-test.eng-jbo.eng.jbo 	| 0.1 	| 0.123 |
| Tatoeba-test.eng-jdt.eng.jdt 	| 6.4 	| 0.008 |
| Tatoeba-test.eng-jpn.eng.jpn 	| 0.0 	| 0.000 |
| Tatoeba-test.eng-kab.eng.kab 	| 5.9 	| 0.261 |
| Tatoeba-test.eng-kal.eng.kal 	| 13.4 	| 0.382 |
| Tatoeba-test.eng-kan.eng.kan 	| 4.8 	| 0.358 |
| Tatoeba-test.eng-kat.eng.kat 	| 1.8 	| 0.115 |
| Tatoeba-test.eng-kaz.eng.kaz 	| 8.8 	| 0.354 |
| Tatoeba-test.eng-kek.eng.kek 	| 3.7 	| 0.188 |
| Tatoeba-test.eng-kha.eng.kha 	| 0.5 	| 0.094 |
| Tatoeba-test.eng-khm.eng.khm 	| 0.4 	| 0.243 |
| Tatoeba-test.eng-kin.eng.kin 	| 5.2 	| 0.362 |
| Tatoeba-test.eng-kir.eng.kir 	| 17.2 	| 0.416 |
| Tatoeba-test.eng-kjh.eng.kjh 	| 0.6 	| 0.009 |
| Tatoeba-test.eng-kok.eng.kok 	| 5.5 	| 0.005 |
| Tatoeba-test.eng-kom.eng.kom 	| 2.4 	| 0.012 |
| Tatoeba-test.eng-krl.eng.krl 	| 2.0 	| 0.099 |
| Tatoeba-test.eng-ksh.eng.ksh 	| 0.4 	| 0.074 |
| Tatoeba-test.eng-kum.eng.kum 	| 0.9 	| 0.007 |
| Tatoeba-test.eng-kur.eng.kur 	| 9.1 	| 0.174 |
| Tatoeba-test.eng-lad.eng.lad 	| 1.2 	| 0.154 |
| Tatoeba-test.eng-lah.eng.lah 	| 0.1 	| 0.001 |
| Tatoeba-test.eng-lao.eng.lao 	| 0.6 	| 0.426 |
| Tatoeba-test.eng-lat.eng.lat 	| 8.2 	| 0.366 |
| Tatoeba-test.eng-lav.eng.lav 	| 20.4 	| 0.475 |
| Tatoeba-test.eng-ldn.eng.ldn 	| 0.3 	| 0.059 |
| Tatoeba-test.eng-lfn.eng.lfn 	| 0.5 	| 0.104 |
| Tatoeba-test.eng-lij.eng.lij 	| 0.2 	| 0.094 |
| Tatoeba-test.eng-lin.eng.lin 	| 1.2 	| 0.276 |
| Tatoeba-test.eng-lit.eng.lit 	| 17.4 	| 0.488 |
| Tatoeba-test.eng-liv.eng.liv 	| 0.3 	| 0.039 |
| Tatoeba-test.eng-lkt.eng.lkt 	| 0.3 	| 0.041 |
| Tatoeba-test.eng-lld.eng.lld 	| 0.1 	| 0.083 |
| Tatoeba-test.eng-lmo.eng.lmo 	| 1.4 	| 0.154 |
| Tatoeba-test.eng-ltz.eng.ltz 	| 19.1 	| 0.395 |
| Tatoeba-test.eng-lug.eng.lug 	| 4.2 	| 0.382 |
| Tatoeba-test.eng-mad.eng.mad 	| 2.1 	| 0.075 |
| Tatoeba-test.eng-mah.eng.mah 	| 9.5 	| 0.331 |
| Tatoeba-test.eng-mai.eng.mai 	| 9.3 	| 0.372 |
| Tatoeba-test.eng-mal.eng.mal 	| 8.3 	| 0.437 |
| Tatoeba-test.eng-mar.eng.mar 	| 13.5 	| 0.410 |
| Tatoeba-test.eng-mdf.eng.mdf 	| 2.3 	| 0.008 |
| Tatoeba-test.eng-mfe.eng.mfe 	| 83.6 	| 0.905 |
| Tatoeba-test.eng-mic.eng.mic 	| 7.6 	| 0.214 |
| Tatoeba-test.eng-mkd.eng.mkd 	| 31.8 	| 0.540 |
| Tatoeba-test.eng-mlg.eng.mlg 	| 31.3 	| 0.464 |
| Tatoeba-test.eng-mlt.eng.mlt 	| 11.7 	| 0.427 |
| Tatoeba-test.eng-mnw.eng.mnw 	| 0.1 	| 0.000 |
| Tatoeba-test.eng-moh.eng.moh 	| 0.6 	| 0.067 |
| Tatoeba-test.eng-mon.eng.mon 	| 8.5 	| 0.323 |
| Tatoeba-test.eng-mri.eng.mri 	| 8.5 	| 0.320 |
| Tatoeba-test.eng-msa.eng.msa 	| 24.5 	| 0.498 |
| Tatoeba-test.eng.multi 	| 22.4 	| 0.451 |
| Tatoeba-test.eng-mwl.eng.mwl 	| 3.8 	| 0.169 |
| Tatoeba-test.eng-mya.eng.mya 	| 0.2 	| 0.123 |
| Tatoeba-test.eng-myv.eng.myv 	| 1.1 	| 0.014 |
| Tatoeba-test.eng-nau.eng.nau 	| 0.6 	| 0.109 |
| Tatoeba-test.eng-nav.eng.nav 	| 1.8 	| 0.149 |
| Tatoeba-test.eng-nds.eng.nds 	| 11.3 	| 0.365 |
| Tatoeba-test.eng-nep.eng.nep 	| 0.5 	| 0.004 |
| Tatoeba-test.eng-niu.eng.niu 	| 34.4 	| 0.501 |
| Tatoeba-test.eng-nld.eng.nld 	| 37.6 	| 0.598 |
| Tatoeba-test.eng-nog.eng.nog 	| 0.2 	| 0.010 |
| Tatoeba-test.eng-non.eng.non 	| 0.2 	| 0.096 |
| Tatoeba-test.eng-nor.eng.nor 	| 36.3 	| 0.577 |
| Tatoeba-test.eng-nov.eng.nov 	| 0.9 	| 0.180 |
| Tatoeba-test.eng-nya.eng.nya 	| 9.8 	| 0.524 |
| Tatoeba-test.eng-oci.eng.oci 	| 6.3 	| 0.288 |
| Tatoeba-test.eng-ori.eng.ori 	| 5.3 	| 0.273 |
| Tatoeba-test.eng-orv.eng.orv 	| 0.2 	| 0.007 |
| Tatoeba-test.eng-oss.eng.oss 	| 3.0 	| 0.230 |
| Tatoeba-test.eng-ota.eng.ota 	| 0.2 	| 0.053 |
| Tatoeba-test.eng-pag.eng.pag 	| 20.2 	| 0.513 |
| Tatoeba-test.eng-pan.eng.pan 	| 6.4 	| 0.301 |
| Tatoeba-test.eng-pap.eng.pap 	| 44.7 	| 0.624 |
| Tatoeba-test.eng-pau.eng.pau 	| 0.8 	| 0.098 |
| Tatoeba-test.eng-pdc.eng.pdc 	| 2.9 	| 0.143 |
| Tatoeba-test.eng-pms.eng.pms 	| 0.6 	| 0.124 |
| Tatoeba-test.eng-pol.eng.pol 	| 22.7 	| 0.500 |
| Tatoeba-test.eng-por.eng.por 	| 31.6 	| 0.570 |
| Tatoeba-test.eng-ppl.eng.ppl 	| 0.5 	| 0.085 |
| Tatoeba-test.eng-prg.eng.prg 	| 0.1 	| 0.078 |
| Tatoeba-test.eng-pus.eng.pus 	| 0.9 	| 0.137 |
| Tatoeba-test.eng-quc.eng.quc 	| 2.7 	| 0.255 |
| Tatoeba-test.eng-qya.eng.qya 	| 0.4 	| 0.084 |
| Tatoeba-test.eng-rap.eng.rap 	| 1.9 	| 0.050 |
| Tatoeba-test.eng-rif.eng.rif 	| 1.3 	| 0.102 |
| Tatoeba-test.eng-roh.eng.roh 	| 1.4 	| 0.169 |
| Tatoeba-test.eng-rom.eng.rom 	| 7.8 	| 0.329 |
| Tatoeba-test.eng-ron.eng.ron 	| 27.0 	| 0.530 |
| Tatoeba-test.eng-rue.eng.rue 	| 0.1 	| 0.009 |
| Tatoeba-test.eng-run.eng.run 	| 9.8 	| 0.434 |
| Tatoeba-test.eng-rus.eng.rus 	| 22.2 	| 0.465 |
| Tatoeba-test.eng-sag.eng.sag 	| 4.8 	| 0.155 |
| Tatoeba-test.eng-sah.eng.sah 	| 0.2 	| 0.007 |
| Tatoeba-test.eng-san.eng.san 	| 1.7 	| 0.143 |
| Tatoeba-test.eng-scn.eng.scn 	| 1.5 	| 0.083 |
| Tatoeba-test.eng-sco.eng.sco 	| 30.3 	| 0.514 |
| Tatoeba-test.eng-sgs.eng.sgs 	| 1.6 	| 0.104 |
| Tatoeba-test.eng-shs.eng.shs 	| 0.7 	| 0.049 |
| Tatoeba-test.eng-shy.eng.shy 	| 0.6 	| 0.064 |
| Tatoeba-test.eng-sin.eng.sin 	| 5.4 	| 0.317 |
| Tatoeba-test.eng-sjn.eng.sjn 	| 0.3 	| 0.074 |
| Tatoeba-test.eng-slv.eng.slv 	| 12.8 	| 0.313 |
| Tatoeba-test.eng-sma.eng.sma 	| 0.8 	| 0.063 |
| Tatoeba-test.eng-sme.eng.sme 	| 13.2 	| 0.290 |
| Tatoeba-test.eng-smo.eng.smo 	| 12.1 	| 0.416 |
| Tatoeba-test.eng-sna.eng.sna 	| 27.1 	| 0.533 |
| Tatoeba-test.eng-snd.eng.snd 	| 6.0 	| 0.359 |
| Tatoeba-test.eng-som.eng.som 	| 16.0 	| 0.274 |
| Tatoeba-test.eng-spa.eng.spa 	| 36.7 	| 0.603 |
| Tatoeba-test.eng-sqi.eng.sqi 	| 32.3 	| 0.573 |
| Tatoeba-test.eng-stq.eng.stq 	| 0.6 	| 0.198 |
| Tatoeba-test.eng-sun.eng.sun 	| 39.0 	| 0.447 |
| Tatoeba-test.eng-swa.eng.swa 	| 1.1 	| 0.109 |
| Tatoeba-test.eng-swe.eng.swe 	| 42.7 	| 0.614 |
| Tatoeba-test.eng-swg.eng.swg 	| 0.6 	| 0.118 |
| Tatoeba-test.eng-tah.eng.tah 	| 12.4 	| 0.294 |
| Tatoeba-test.eng-tam.eng.tam 	| 5.0 	| 0.404 |
| Tatoeba-test.eng-tat.eng.tat 	| 9.9 	| 0.326 |
| Tatoeba-test.eng-tel.eng.tel 	| 4.7 	| 0.326 |
| Tatoeba-test.eng-tet.eng.tet 	| 0.7 	| 0.100 |
| Tatoeba-test.eng-tgk.eng.tgk 	| 5.5 	| 0.304 |
| Tatoeba-test.eng-tha.eng.tha 	| 2.2 	| 0.456 |
| Tatoeba-test.eng-tir.eng.tir 	| 1.5 	| 0.197 |
| Tatoeba-test.eng-tlh.eng.tlh 	| 0.0 	| 0.032 |
| Tatoeba-test.eng-tly.eng.tly 	| 0.3 	| 0.061 |
| Tatoeba-test.eng-toi.eng.toi 	| 8.3 	| 0.219 |
| Tatoeba-test.eng-ton.eng.ton 	| 32.7 	| 0.619 |
| Tatoeba-test.eng-tpw.eng.tpw 	| 1.4 	| 0.136 |
| Tatoeba-test.eng-tso.eng.tso 	| 9.6 	| 0.465 |
| Tatoeba-test.eng-tuk.eng.tuk 	| 9.4 	| 0.383 |
| Tatoeba-test.eng-tur.eng.tur 	| 24.1 	| 0.542 |
| Tatoeba-test.eng-tvl.eng.tvl 	| 8.9 	| 0.398 |
| Tatoeba-test.eng-tyv.eng.tyv 	| 10.4 	| 0.249 |
| Tatoeba-test.eng-tzl.eng.tzl 	| 0.2 	| 0.098 |
| Tatoeba-test.eng-udm.eng.udm 	| 6.5 	| 0.212 |
| Tatoeba-test.eng-uig.eng.uig 	| 2.1 	| 0.266 |
| Tatoeba-test.eng-ukr.eng.ukr 	| 24.3 	| 0.479 |
| Tatoeba-test.eng-umb.eng.umb 	| 4.4 	| 0.274 |
| Tatoeba-test.eng-urd.eng.urd 	| 8.6 	| 0.344 |
| Tatoeba-test.eng-uzb.eng.uzb 	| 6.9 	| 0.343 |
| Tatoeba-test.eng-vec.eng.vec 	| 1.0 	| 0.094 |
| Tatoeba-test.eng-vie.eng.vie 	| 23.2 	| 0.420 |
| Tatoeba-test.eng-vol.eng.vol 	| 0.3 	| 0.086 |
| Tatoeba-test.eng-war.eng.war 	| 11.4 	| 0.415 |
| Tatoeba-test.eng-wln.eng.wln 	| 8.4 	| 0.218 |
| Tatoeba-test.eng-wol.eng.wol 	| 11.5 	| 0.252 |
| Tatoeba-test.eng-xal.eng.xal 	| 0.1 	| 0.007 |
| Tatoeba-test.eng-xho.eng.xho 	| 19.5 	| 0.552 |
| Tatoeba-test.eng-yid.eng.yid 	| 4.0 	| 0.256 |
| Tatoeba-test.eng-yor.eng.yor 	| 8.8 	| 0.247 |
| Tatoeba-test.eng-zho.eng.zho 	| 21.8 	| 0.192 |
| Tatoeba-test.eng-zul.eng.zul 	| 34.3 	| 0.655 |
| Tatoeba-test.eng-zza.eng.zza 	| 0.5 	| 0.080 |

### System Info:
- hf_name: eng-mul

- source_languages: eng

- target_languages: mul

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

- original_repo: Tatoeba-Challenge

- tags: ['translation']

- languages: ['en', 'ca', 'es', 'os', 'eo', 'ro', 'fy', 'cy', 'is', 'lb', 'su', 'an', 'sq', 'fr', 'ht', 'rm', 'cv', 'ig', 'am', 'eu', 'tr', 'ps', 'af', 'ny', 'ch', 'uk', 'sl', 'lt', 'tk', 'sg', 'ar', 'lg', 'bg', 'be', 'ka', 'gd', 'ja', 'si', 'br', 'mh', 'km', 'th', 'ty', 'rw', 'te', 'mk', 'or', 'wo', 'kl', 'mr', 'ru', 'yo', 'hu', 'fo', 'zh', 'ti', 'co', 'ee', 'oc', 'sn', 'mt', 'ts', 'pl', 'gl', 'nb', 'bn', 'tt', 'bo', 'lo', 'id', 'gn', 'nv', 'hy', 'kn', 'to', 'io', 'so', 'vi', 'da', 'fj', 'gv', 'sm', 'nl', 'mi', 'pt', 'hi', 'se', 'as', 'ta', 'et', 'kw', 'ga', 'sv', 'ln', 'na', 'mn', 'gu', 'wa', 'lv', 'jv', 'el', 'my', 'ba', 'it', 'hr', 'ur', 'ce', 'nn', 'fi', 'mg', 'rn', 'xh', 'ab', 'de', 'cs', 'he', 'zu', 'yi', 'ml', 'mul']

- src_constituents: {'eng'}

- tgt_constituents: {'sjn_Latn', 'cat', 'nan', 'spa', 'ile_Latn', 'pap', 'mwl', 'uzb_Latn', 'mww', 'hil', 'lij', 'avk_Latn', 'lad_Latn', 'lat_Latn', 'bos_Latn', 'oss', 'epo', 'ron', 'fry', 'cym', 'toi_Latn', 'awa', 'swg', 'zsm_Latn', 'zho_Hant', 'gcf_Latn', 'uzb_Cyrl', 'isl', 'lfn_Latn', 'shs_Latn', 'nov_Latn', 'bho', 'ltz', 'lzh', 'kur_Latn', 'sun', 'arg', 'pes_Thaa', 'sqi', 'uig_Arab', 'csb_Latn', 'fra', 'hat', 'liv_Latn', 'non_Latn', 'sco', 'cmn_Hans', 'pnb', 'roh', 'chv', 'ibo', 'bul_Latn', 'amh', 'lfn_Cyrl', 'eus', 'fkv_Latn', 'tur', 'pus', 'afr', 'brx_Latn', 'nya', 'acm', 'ota_Latn', 'cha', 'ukr', 'xal', 'slv', 'lit', 'zho_Hans', 'tmw_Latn', 'kjh', 'ota_Arab', 'war', 'tuk', 'sag', 'myv', 'hsb', 'lzh_Hans', 'ara', 'tly_Latn', 'lug', 'brx', 'bul', 'bel', 'vol_Latn', 'kat', 'gan', 'got_Goth', 'vro', 'ext', 'afh_Latn', 'gla', 'jpn', 'udm', 'mai', 'ary', 'sin', 'tvl', 'hif_Latn', 'cjy_Hant', 'bre', 'ceb', 'mah', 'nob_Hebr', 'crh_Latn', 'prg_Latn', 'khm', 'ang_Latn', 'tha', 'tah', 'tzl', 'aln', 'kin', 'tel', 'ady', 'mkd', 'ori', 'wol', 'aze_Latn', 'jbo', 'niu', 'kal', 'mar', 'vie_Hani', 'arz', 'yue', 'kha', 'san_Deva', 'jbo_Latn', 'gos', 'hau_Latn', 'rus', 'quc', 'cmn', 'yor', 'hun', 'uig_Cyrl', 'fao', 'mnw', 'zho', 'orv_Cyrl', 'iba', 'bel_Latn', 'tir', 'afb', 'crh', 'mic', 'cos', 'swh', 'sah', 'krl', 'ewe', 'apc', 'zza', 'chr', 'grc_Grek', 'tpw_Latn', 'oci', 'mfe', 'sna', 'kir_Cyrl', 'tat_Latn', 'gom', 'ido_Latn', 'sgs', 'pau', 'tgk_Cyrl', 'nog', 'mlt', 'pdc', 'tso', 'srp_Cyrl', 'pol', 'ast', 'glg', 'pms', 'fuc', 'nob', 'qya', 'ben', 'tat', 'kab', 'min', 'srp_Latn', 'wuu', 'dtp', 'jbo_Cyrl', 'tet', 'bod', 'yue_Hans', 'zlm_Latn', 'lao', 'ind', 'grn', 'nav', 'kaz_Cyrl', 'rom', 'hye', 'kan', 'ton', 'ido', 'mhr', 'scn', 'som', 'rif_Latn', 'vie', 'enm_Latn', 'lmo', 'npi', 'pes', 'dan', 'fij', 'ina_Latn', 'cjy_Hans', 'jdt_Cyrl', 'gsw', 'glv', 'khm_Latn', 'smo', 'umb', 'sma', 'gil', 'nld', 'snd_Arab', 'arq', 'mri', 'kur_Arab', 'por', 'hin', 'shy_Latn', 'sme', 'rap', 'tyv', 'dsb', 'moh', 'asm', 'lad', 'yue_Hant', 'kpv', 'tam', 'est', 'frm_Latn', 'hoc_Latn', 'bam_Latn', 'kek_Latn', 'ksh', 'tlh_Latn', 'ltg', 'pan_Guru', 'hnj_Latn', 'cor', 'gle', 'swe', 'lin', 'qya_Latn', 'kum', 'mad', 'cmn_Hant', 'fuv', 'nau', 'mon', 'akl_Latn', 'guj', 'kaz_Latn', 'wln', 'tuk_Latn', 'jav_Java', 'lav', 'jav', 'ell', 'frr', 'mya', 'bak', 'rue', 'ita', 'hrv', 'izh', 'ilo', 'dws_Latn', 'urd', 'stq', 'tat_Arab', 'haw', 'che', 'pag', 'nno', 'fin', 'mlg', 'ppl_Latn', 'run', 'xho', 'abk', 'deu', 'hoc', 'lkt', 'lld_Latn', 'tzl_Latn', 'mdf', 'ike_Latn', 'ces', 'ldn_Latn', 'egl', 'heb', 'vec', 'zul', 'max_Latn', 'pes_Latn', 'yid', 'mal', 'nds'}

- src_multilingual: False

- tgt_multilingual: True

- prepro:  normalization + SentencePiece (spm32k,spm32k)

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

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

- src_alpha3: eng

- tgt_alpha3: mul

- short_pair: en-mul

- chrF2_score: 0.451

- bleu: 22.4

- brevity_penalty: 0.987

- ref_len: 68724.0

- src_name: English

- tgt_name: Multiple languages

- train_date: 2020-08-01

- src_alpha2: en

- tgt_alpha2: mul

- prefer_old: False

- long_pair: eng-mul

- 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-ig

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

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.sv.ig 	| 31.1 	| 0.479 |


---
language:
- az
- en

tags:
- translation

license: apache-2.0
---

### aze-eng

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

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

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.aze.eng 	| 31.9 	| 0.490 |

### System Info:
- hf_name: aze-eng

- source_languages: aze

- target_languages: eng

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

- original_repo: Tatoeba-Challenge

- tags: ['translation']

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

- src_constituents: {'aze_Latn'}

- tgt_constituents: {'eng'}

- src_multilingual: False

- tgt_multilingual: False

- prepro:  normalization + SentencePiece (spm12k,spm12k)

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

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

- src_alpha3: aze

- tgt_alpha3: eng

- short_pair: az-en

- chrF2_score: 0.49

- bleu: 31.9

- brevity_penalty: 0.997

- ref_len: 16165.0

- src_name: Azerbaijani

- tgt_name: English

- train_date: 2020-06-16

- src_alpha2: az

- tgt_alpha2: en

- prefer_old: False

- long_pair: aze-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-bcl-de

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

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.bcl.de 	| 30.3 	| 0.510 |


---
language:
- en
- ur

tags:
- translation

license: apache-2.0
---

### eng-urd

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

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

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.eng.urd 	| 12.1 	| 0.390 |

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

- source_languages: eng

- target_languages: urd

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

- original_repo: Tatoeba-Challenge

- tags: ['translation']

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

- src_constituents: {'eng'}

- tgt_constituents: {'urd'}

- src_multilingual: False

- tgt_multilingual: False

- prepro:  normalization + SentencePiece (spm32k,spm32k)

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

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

- src_alpha3: eng

- tgt_alpha3: urd

- short_pair: en-ur

- chrF2_score: 0.39

- bleu: 12.1

- brevity_penalty: 1.0

- ref_len: 12155.0

- src_name: English

- tgt_name: Urdu

- train_date: 2020-06-17

- src_alpha2: en

- tgt_alpha2: ur

- prefer_old: False

- long_pair: eng-urd

- 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-tdt

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

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.en.tdt 	| 23.8 	| 0.416 |


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

### opus-mt-fr-ilo

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

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.fr.ilo 	| 30.6 	| 0.528 |


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

### opus-mt-mr-en

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

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba.mr.en 	| 38.2 	| 0.515 |


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

### opus-mt-fr-ny

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

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.fr.ny 	| 23.2 	| 0.481 |


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

### opus-mt-pon-fi

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

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.pon.fi 	| 22.2 	| 0.434 |


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

### opus-mt-lua-es

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

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.lua.es 	| 23.1 	| 0.409 |


---
language:
- en
- hy

tags:
- translation

license: apache-2.0
---

### eng-hye

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

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

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.eng.hye 	| 16.6 	| 0.404 |

### System Info:
- hf_name: eng-hye

- source_languages: eng

- target_languages: hye

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

- original_repo: Tatoeba-Challenge

- tags: ['translation']

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

- src_constituents: {'eng'}

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

- src_multilingual: False

- tgt_multilingual: False

- prepro:  normalization + SentencePiece (spm4k,spm4k)

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

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

- src_alpha3: eng

- tgt_alpha3: hye

- short_pair: en-hy

- chrF2_score: 0.40399999999999997

- bleu: 16.6

- brevity_penalty: 1.0

- ref_len: 5115.0

- src_name: English

- tgt_name: Armenian

- train_date: 2020-06-16

- src_alpha2: en

- tgt_alpha2: hy

- prefer_old: False

- long_pair: eng-hye

- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535

- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b

- port_machine: brutasse

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


---
language:
- eo
- sv

tags:
- translation

license: apache-2.0
---

### epo-swe

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

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

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.epo.swe 	| 29.5 	| 0.463 |

### System Info:
- hf_name: epo-swe

- source_languages: epo

- target_languages: swe

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

- original_repo: Tatoeba-Challenge

- tags: ['translation']

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

- src_constituents: {'epo'}

- tgt_constituents: {'swe'}

- src_multilingual: False

- tgt_multilingual: False

- prepro:  normalization + SentencePiece (spm4k,spm4k)

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

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

- src_alpha3: epo

- tgt_alpha3: swe

- short_pair: eo-sv

- chrF2_score: 0.46299999999999997

- bleu: 29.5

- brevity_penalty: 0.9640000000000001

- ref_len: 10977.0

- src_name: Esperanto

- tgt_name: Swedish

- train_date: 2020-06-16

- src_alpha2: eo

- tgt_alpha2: sv

- prefer_old: False

- long_pair: epo-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-fr-niu

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

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.fr.niu 	| 34.5 	| 0.537 |


---
language:
- uk
- cs

tags:
- translation

license: apache-2.0
---

### ukr-ces

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

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

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.ukr.ces 	| 52.0 	| 0.686 |

### System Info:
- hf_name: ukr-ces

- source_languages: ukr

- target_languages: ces

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

- original_repo: Tatoeba-Challenge

- tags: ['translation']

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

- src_constituents: {'ukr'}

- tgt_constituents: {'ces'}

- src_multilingual: False

- tgt_multilingual: False

- prepro:  normalization + SentencePiece (spm32k,spm32k)

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

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

- src_alpha3: ukr

- tgt_alpha3: ces

- short_pair: uk-cs

- chrF2_score: 0.6859999999999999

- bleu: 52.0

- brevity_penalty: 0.993

- ref_len: 8550.0

- src_name: Ukrainian

- tgt_name: Czech

- train_date: 2020-06-17

- src_alpha2: uk

- tgt_alpha2: cs

- prefer_old: False

- long_pair: ukr-ces

- 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-am-sv

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

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.am.sv 	| 21.0 	| 0.377 |


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

### opus-mt-ja-en

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

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba.ja.en 	| 41.7 	| 0.589 |


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

### opus-mt-srn-sv

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

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.srn.sv 	| 32.2 	| 0.500 |


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

### opus-mt-en-ilo

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

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba.en.ilo 	| 33.2 	| 0.584 |


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

### opus-mt-chk-es

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

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

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.chk.es 	| 20.8 	| 0.374 |


---
language:
- hu
- eo

tags:
- translation

license: apache-2.0
---

### hun-epo

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

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

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.hun.epo 	| 17.9 	| 0.378 |

### System Info:
- hf_name: hun-epo

- source_languages: hun

- target_languages: epo

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

- original_repo: Tatoeba-Challenge

- tags: ['translation']

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

- src_constituents: {'hun'}

- tgt_constituents: {'epo'}

- src_multilingual: False

- tgt_multilingual: False

- prepro:  normalization + SentencePiece (spm4k,spm4k)

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

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

- src_alpha3: hun

- tgt_alpha3: epo

- short_pair: hu-eo

- chrF2_score: 0.37799999999999995

- bleu: 17.9

- brevity_penalty: 0.934

- ref_len: 76005.0

- src_name: Hungarian

- tgt_name: Esperanto

- train_date: 2020-06-16

- src_alpha2: hu

- tgt_alpha2: eo

- prefer_old: False

- long_pair: hun-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-sk-fi

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

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.sk.fi 	| 27.6 	| 0.544 |


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

### opus-mt-fi-el

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

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.fi.el 	| 27.1 	| 0.490 |


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

### opus-mt-ceb-sv

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

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.ceb.sv 	| 35.5 	| 0.552 |