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


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| newsdev2016-enro-roneng.ron.eng 	| 37.1 	| 0.631 |
| newsdiscussdev2015-enfr-fraeng.fra.eng 	| 31.6 	| 0.564 |
| newsdiscusstest2015-enfr-fraeng.fra.eng 	| 36.1 	| 0.592 |
| newssyscomb2009-fraeng.fra.eng 	| 29.3 	| 0.563 |
| newssyscomb2009-itaeng.ita.eng 	| 33.1 	| 0.589 |
| newssyscomb2009-spaeng.spa.eng 	| 29.2 	| 0.562 |
| news-test2008-fraeng.fra.eng 	| 25.2 	| 0.533 |
| news-test2008-spaeng.spa.eng 	| 26.6 	| 0.542 |
| newstest2009-fraeng.fra.eng 	| 28.6 	| 0.557 |
| newstest2009-itaeng.ita.eng 	| 32.0 	| 0.580 |
| newstest2009-spaeng.spa.eng 	| 28.9 	| 0.559 |
| newstest2010-fraeng.fra.eng 	| 29.9 	| 0.573 |
| newstest2010-spaeng.spa.eng 	| 33.3 	| 0.596 |
| newstest2011-fraeng.fra.eng 	| 31.2 	| 0.585 |
| newstest2011-spaeng.spa.eng 	| 32.3 	| 0.584 |
| newstest2012-fraeng.fra.eng 	| 31.3 	| 0.580 |
| newstest2012-spaeng.spa.eng 	| 35.3 	| 0.606 |
| newstest2013-fraeng.fra.eng 	| 31.9 	| 0.575 |
| newstest2013-spaeng.spa.eng 	| 32.8 	| 0.592 |
| newstest2014-fren-fraeng.fra.eng 	| 34.6 	| 0.611 |
| newstest2016-enro-roneng.ron.eng 	| 35.8 	| 0.614 |
| Tatoeba-test.arg-eng.arg.eng 	| 38.7 	| 0.512 |
| Tatoeba-test.ast-eng.ast.eng 	| 35.2 	| 0.520 |
| Tatoeba-test.cat-eng.cat.eng 	| 54.9 	| 0.703 |
| Tatoeba-test.cos-eng.cos.eng 	| 68.1 	| 0.666 |
| Tatoeba-test.egl-eng.egl.eng 	| 6.7 	| 0.209 |
| Tatoeba-test.ext-eng.ext.eng 	| 24.2 	| 0.427 |
| Tatoeba-test.fra-eng.fra.eng 	| 53.9 	| 0.691 |
| Tatoeba-test.frm-eng.frm.eng 	| 25.7 	| 0.423 |
| Tatoeba-test.gcf-eng.gcf.eng 	| 14.8 	| 0.288 |
| Tatoeba-test.glg-eng.glg.eng 	| 54.6 	| 0.703 |
| Tatoeba-test.hat-eng.hat.eng 	| 37.0 	| 0.540 |
| Tatoeba-test.ita-eng.ita.eng 	| 64.8 	| 0.768 |
| Tatoeba-test.lad-eng.lad.eng 	| 21.7 	| 0.452 |
| Tatoeba-test.lij-eng.lij.eng 	| 11.2 	| 0.299 |
| Tatoeba-test.lld-eng.lld.eng 	| 10.8 	| 0.273 |
| Tatoeba-test.lmo-eng.lmo.eng 	| 5.8 	| 0.260 |
| Tatoeba-test.mfe-eng.mfe.eng 	| 63.1 	| 0.819 |
| Tatoeba-test.msa-eng.msa.eng 	| 40.9 	| 0.592 |
| Tatoeba-test.multi.eng 	| 54.9 	| 0.697 |
| Tatoeba-test.mwl-eng.mwl.eng 	| 44.6 	| 0.674 |
| Tatoeba-test.oci-eng.oci.eng 	| 20.5 	| 0.404 |
| Tatoeba-test.pap-eng.pap.eng 	| 56.2 	| 0.669 |
| Tatoeba-test.pms-eng.pms.eng 	| 10.3 	| 0.324 |
| Tatoeba-test.por-eng.por.eng 	| 59.7 	| 0.738 |
| Tatoeba-test.roh-eng.roh.eng 	| 14.8 	| 0.378 |
| Tatoeba-test.ron-eng.ron.eng 	| 55.2 	| 0.703 |
| Tatoeba-test.scn-eng.scn.eng 	| 10.2 	| 0.259 |
| Tatoeba-test.spa-eng.spa.eng 	| 56.2 	| 0.714 |
| Tatoeba-test.vec-eng.vec.eng 	| 13.8 	| 0.317 |
| Tatoeba-test.wln-eng.wln.eng 	| 17.3 	| 0.323 |


### System Info:


- hf_name: roa-eng
- source_languages: roa
- target_languages: eng
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/roa-eng/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['it', 'ca', 'rm', 'es', 'ro', 'gl', 'co', 'wa', 'pt', 'oc', 'an', 'id', 'fr', 'ht', 'roa', 'en']
- src_constituents: {'ita', 'cat', 'roh', 'spa', 'pap', 'lmo', 'mwl', 'lij', 'lad_Latn', 'ext', 'ron', 'ast', 'glg', 'pms', 'zsm_Latn', 'gcf_Latn', 'lld_Latn', 'min', 'tmw_Latn', 'cos', 'wln', 'zlm_Latn', 'por', 'egl', 'oci', 'vec', 'arg', 'ind', 'fra', 'hat', 'lad', 'max_Latn', 'frm_Latn', 'scn', 'mfe'}
- tgt_constituents: {'eng'}
- src_multilingual: True
- tgt_multilingual: False
- prepro:  normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/roa-eng/opus2m-2020-08-01.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/roa-eng/opus2m-2020-08-01.test.txt
- src_alpha3: roa
- tgt_alpha3: eng
- short_pair: roa-en
- chrF2_score: 0.6970000000000001
- bleu: 54.9
- brevity_penalty: 0.9790000000000001
- ref_len: 74762.0
- src_name: Romance languages
- tgt_name: English
- train_date: 2020-08-01
- src_alpha2: roa
- tgt_alpha2: en
- prefer_old: False
- long_pair: roa-eng
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41


model name: opus-mt-roa-en


model author: Helsinki-NLP


task: translation


tags: pytorch, rust, marian, text2text-generation, it, ca, rm, es, ro, gl, co, wa, pt, oc, an, id, fr, ht, roa, en, transformers, translation, license:apache-2.0, autonlp_compatible


tags:


- translation
license: apache-2.0


### opus-mt-fi-ig


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.fi.ig 	| 28.5 	| 0.456 |


model name: opus-mt-fi-ig


tags: pytorch, marian, text2text-generation, fi, ig, transformers, translation, license:apache-2.0, autonlp_compatible


### opus-mt-loz-es


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


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.loz.es 	| 28.4 	| 0.464 |


model name: opus-mt-loz-es


tags: pytorch, marian, text2text-generation, loz, es, transformers, translation, license:apache-2.0, autonlp_compatible


### opus-mt-pis-es


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.pis.es 	| 24.1 	| 0.421 |


model name: opus-mt-pis-es


model author: Helsinki-NLP


task: translation


tags: pytorch, marian, text2text-generation, pis, es, transformers, translation, license:apache-2.0, autonlp_compatible


tags:


- translation
license: apache-2.0


### opus-mt-ase-es


* source languages: ase
* target languages: es
* OPUS readme: [ase-es](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/ase-es/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-20.zip](https://object.pouta.csc.fi/OPUS-MT-models/ase-es/opus-2020-01-20.zip)
* test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/ase-es/opus-2020-01-20.test.txt)
* test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/ase-es/opus-2020-01-20.eval.txt)


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.ase.es 	| 31.7 	| 0.498 |


model name: opus-mt-ase-es


tags: pytorch, marian, text2text-generation, ase, es, transformers, translation, license:apache-2.0, autonlp_compatible


language:


- no
- de


- translation


## license: apache-2.0


### nor-deu


* source group: Norwegian
* target group: German
* OPUS readme: [nor-deu](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/nor-deu/README.md)
* model: transformer-align
* source language(s): nno nob
* target language(s): deu
* model: transformer-align
* pre-processing: normalization + SentencePiece (spm4k,spm4k)
* download original weights: [opus-2020-06-17.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/nor-deu/opus-2020-06-17.zip)
* test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/nor-deu/opus-2020-06-17.test.txt)
* test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/nor-deu/opus-2020-06-17.eval.txt)


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.nor.deu 	| 29.6 	| 0.541 |


### System Info:


- hf_name: nor-deu
- source_languages: nor
- target_languages: deu
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/nor-deu/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['no', 'de']
- src_constituents: {'nob', 'nno'}
- tgt_constituents: {'deu'}
- src_multilingual: False
- tgt_multilingual: False
- prepro:  normalization + SentencePiece (spm4k,spm4k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/nor-deu/opus-2020-06-17.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/nor-deu/opus-2020-06-17.test.txt
- src_alpha3: nor
- tgt_alpha3: deu
- short_pair: no-de
- chrF2_score: 0.541
- bleu: 29.6
- brevity_penalty: 0.96
- ref_len: 34575.0
- src_name: Norwegian
- tgt_name: German
- train_date: 2020-06-17
- src_alpha2: no
- tgt_alpha2: de
- prefer_old: False
- long_pair: nor-deu
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41


model name: opus-mt-no-de


model author: Helsinki-NLP


task: translation


tags: pytorch, marian, text2text-generation, no, de, transformers, translation, license:apache-2.0, autonlp_compatible


tags:


- translation
license: apache-2.0


### opus-mt-run-en


* source languages: run
* target languages: en
* OPUS readme: [run-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/run-en/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-21.zip](https://object.pouta.csc.fi/OPUS-MT-models/run-en/opus-2020-01-21.zip)
* test set translations: [opus-2020-01-21.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/run-en/opus-2020-01-21.test.txt)
* test set scores: [opus-2020-01-21.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/run-en/opus-2020-01-21.eval.txt)


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.run.en 	| 42.7 	| 0.583 |


model name: opus-mt-run-en


tags: pytorch, marian, text2text-generation, run, en, transformers, translation, license:apache-2.0, autonlp_compatible


### opus-mt-wal-en


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


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.wal.en 	| 22.5 	| 0.386 |


model name: opus-mt-wal-en


tags: pytorch, marian, text2text-generation, wal, en, transformers, translation, license:apache-2.0, autonlp_compatible


### opus-mt-ee-en


* source languages: ee
* target languages: en
* OPUS readme: [ee-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/ee-en/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-08.zip](https://object.pouta.csc.fi/OPUS-MT-models/ee-en/opus-2020-01-08.zip)
* test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/ee-en/opus-2020-01-08.test.txt)
* test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/ee-en/opus-2020-01-08.eval.txt)


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.ee.en 	| 39.3 	| 0.556 |
| Tatoeba.ee.en 	| 21.2 	| 0.569 |


model name: opus-mt-ee-en


model author: Helsinki-NLP


task: translation


tags: pytorch, marian, text2text-generation, ee, en, transformers, translation, license:apache-2.0, autonlp_compatible


tags:


- translation
license: apache-2.0


### opus-mt-pis-fi


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.pis.fi 	| 21.8 	| 0.439 |


model name: opus-mt-pis-fi


tags: pytorch, marian, text2text-generation, pis, fi, transformers, translation, license:apache-2.0, autonlp_compatible


### opus-mt-de-guw


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


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.de.guw 	| 27.1 	| 0.472 |


model name: opus-mt-de-guw


tags: pytorch, marian, text2text-generation, de, guw, transformers, translation, license:apache-2.0, autonlp_compatible


### opus-mt-kg-en


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.kg.en 	| 35.4 	| 0.508 |


model name: opus-mt-kg-en


model author: Helsinki-NLP


task: translation


tags: pytorch, marian, text2text-generation, kg, en, transformers, translation, license:apache-2.0, autonlp_compatible


tags:


- translation
license: apache-2.0


### opus-mt-ko-de


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba.ko.de 	| 30.2 	| 0.523 |


model name: opus-mt-ko-de


tags: pytorch, marian, text2text-generation, ko, de, transformers, translation, license:apache-2.0, autonlp_compatible


### opus-mt-kg-fr


* source languages: kg
* target languages: fr
* OPUS readme: [kg-fr](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/kg-fr/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-09.zip](https://object.pouta.csc.fi/OPUS-MT-models/kg-fr/opus-2020-01-09.zip)
* test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/kg-fr/opus-2020-01-09.test.txt)
* test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/kg-fr/opus-2020-01-09.eval.txt)


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.kg.fr 	| 26.0 	| 0.433 |


model name: opus-mt-kg-fr


tags: pytorch, marian, text2text-generation, kg, fr, transformers, translation, license:apache-2.0, autonlp_compatible


language:


- en
- bg


- translation


## license: apache-2.0


### eng-bul


* source group: English
* target group: Bulgarian
* OPUS readme: [eng-bul](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-bul/README.md)
* model: transformer
* source language(s): eng
* target language(s): bul bul_Latn
* model: transformer
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* a sentence initial language token is required in the form of `>>id<<` (id = valid target language ID)
* download original weights: [opus-2020-07-03.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-bul/opus-2020-07-03.zip)
* test set translations: [opus-2020-07-03.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-bul/opus-2020-07-03.test.txt)
* test set scores: [opus-2020-07-03.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-bul/opus-2020-07-03.eval.txt)


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.eng.bul 	| 50.6 	| 0.680 |


### System Info:


- hf_name: eng-bul
- source_languages: eng
- target_languages: bul
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-bul/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['en', 'bg']
- src_constituents: {'eng'}
- tgt_constituents: {'bul', 'bul_Latn'}
- src_multilingual: False
- tgt_multilingual: False
- prepro:  normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-bul/opus-2020-07-03.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-bul/opus-2020-07-03.test.txt
- src_alpha3: eng
- tgt_alpha3: bul
- short_pair: en-bg
- chrF2_score: 0.68
- bleu: 50.6
- brevity_penalty: 0.96
- ref_len: 69504.0
- src_name: English
- tgt_name: Bulgarian
- train_date: 2020-07-03
- src_alpha2: en
- tgt_alpha2: bg
- prefer_old: False
- long_pair: eng-bul
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41


model name: opus-mt-en-bg


model author: Helsinki-NLP


task: translation


tags: pytorch, marian, text2text-generation, en, bg, transformers, translation, license:apache-2.0, autonlp_compatible


- sl
- uk


tags:


### slv-ukr


* source group: Slovenian
* target group: Ukrainian
* OPUS readme: [slv-ukr](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/slv-ukr/README.md)
* model: transformer-align
* source language(s): slv
* target language(s): ukr
* model: transformer-align
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* download original weights: [opus-2020-06-17.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/slv-ukr/opus-2020-06-17.zip)
* test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/slv-ukr/opus-2020-06-17.test.txt)
* test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/slv-ukr/opus-2020-06-17.eval.txt)


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.slv.ukr 	| 10.6 	| 0.236 |


- hf_name: slv-ukr
- source_languages: slv
- target_languages: ukr
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/slv-ukr/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['sl', 'uk']
- src_constituents: {'slv'}
- tgt_constituents: {'ukr'}
- src_multilingual: False
- tgt_multilingual: False
- prepro:  normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/slv-ukr/opus-2020-06-17.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/slv-ukr/opus-2020-06-17.test.txt
- src_alpha3: slv
- tgt_alpha3: ukr
- short_pair: sl-uk
- chrF2_score: 0.23600000000000002
- bleu: 10.6
- brevity_penalty: 1.0
- ref_len: 3906.0
- src_name: Slovenian
- tgt_name: Ukrainian
- train_date: 2020-06-17
- src_alpha2: sl
- tgt_alpha2: uk
- prefer_old: False
- long_pair: slv-ukr
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41


model name: opus-mt-sl-uk


tags: pytorch, marian, text2text-generation, sl, uk, transformers, translation, license:apache-2.0, autonlp_compatible


language:


- es
- en


- translation


## license: apache-2.0


### spa-eng


* source group: Spanish
* target group: English
* OPUS readme: [spa-eng](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/spa-eng/README.md)
* model: transformer
* source language(s): spa
* target language(s): eng
* model: transformer
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* download original weights: [opus-2020-08-18.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/spa-eng/opus-2020-08-18.zip)
* test set translations: [opus-2020-08-18.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/spa-eng/opus-2020-08-18.test.txt)
* test set scores: [opus-2020-08-18.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/spa-eng/opus-2020-08-18.eval.txt)


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| newssyscomb2009-spaeng.spa.eng 	| 30.6 	| 0.570 |
| news-test2008-spaeng.spa.eng 	| 27.9 	| 0.553 |
| newstest2009-spaeng.spa.eng 	| 30.4 	| 0.572 |
| newstest2010-spaeng.spa.eng 	| 36.1 	| 0.614 |
| newstest2011-spaeng.spa.eng 	| 34.2 	| 0.599 |
| newstest2012-spaeng.spa.eng 	| 37.9 	| 0.624 |
| newstest2013-spaeng.spa.eng 	| 35.3 	| 0.609 |
| Tatoeba-test.spa.eng 	| 59.6 	| 0.739 |


### System Info:


- hf_name: spa-eng
- source_languages: spa
- target_languages: eng
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/spa-eng/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['es', 'en']
- src_constituents: {'spa'}
- tgt_constituents: {'eng'}
- src_multilingual: False
- tgt_multilingual: False
- prepro:  normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/spa-eng/opus-2020-08-18.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/spa-eng/opus-2020-08-18.test.txt
- src_alpha3: spa
- tgt_alpha3: eng
- short_pair: es-en
- chrF2_score: 0.7390000000000001
- bleu: 59.6
- brevity_penalty: 0.9740000000000001
- ref_len: 79376.0
- src_name: Spanish
- tgt_name: English
- train_date: 2020-08-18 00:00:00
- src_alpha2: es
- tgt_alpha2: en
- prefer_old: False
- long_pair: spa-eng
- helsinki_git_sha: d2f0910c89026c34a44e331e785dec1e0faa7b82
- transformers_git_sha: f7af09b4524b784d67ae8526f0e2fcc6f5ed0de9
- port_machine: brutasse
- port_time: 2020-08-24-18:20


model name: opus-mt-es-en


model author: Helsinki-NLP


task: translation


tags: pytorch, marian, text2text-generation, es, en, transformers, translation, license:apache-2.0, autonlp_compatible


tags:


- translation
license: apache-2.0


### opus-mt-sv-srn


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


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.sv.srn 	| 31.3 	| 0.506 |


model name: opus-mt-sv-srn


tags: pytorch, marian, text2text-generation, sv, srn, transformers, translation, license:apache-2.0, autonlp_compatible


### opus-mt-fr-kwy


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.fr.kwy 	| 22.5 	| 0.428 |


model name: opus-mt-fr-kwy


tags: pytorch, marian, text2text-generation, fr, kwy, transformers, translation, license:apache-2.0, autonlp_compatible


### opus-mt-hr-es


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.hr.es 	| 27.9 	| 0.498 |


model name: opus-mt-hr-es


model author: Helsinki-NLP


task: translation


tags: pytorch, marian, text2text-generation, hr, es, transformers, translation, license:apache-2.0, autonlp_compatible


tags:


- translation
license: apache-2.0


### opus-mt-fi-ve


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


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.fi.ve 	| 26.0 	| 0.495 |


model name: opus-mt-fi-ve


tags: pytorch, marian, text2text-generation, fi, ve, transformers, translation, license:apache-2.0, autonlp_compatible


### opus-mt-war-fi


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.war.fi 	| 26.9 	| 0.507 |


model name: opus-mt-war-fi


tags: pytorch, marian, text2text-generation, war, fi, transformers, translation, license:apache-2.0, autonlp_compatible


### opus-mt-guw-fi


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.guw.fi 	| 27.7 	| 0.512 |


model name: opus-mt-guw-fi


model author: Helsinki-NLP


task: translation


tags: pytorch, marian, text2text-generation, guw, fi, transformers, translation, license:apache-2.0, autonlp_compatible


tags:


- translation
license: apache-2.0


### opus-mt-pon-es


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


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.pon.es 	| 22.4 	| 0.402 |


model name: opus-mt-pon-es


tags: pytorch, marian, text2text-generation, pon, es, transformers, translation, license:apache-2.0, autonlp_compatible


### opus-mt-mt-fi


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.mt.fi 	| 24.9 	| 0.509 |


model name: opus-mt-mt-fi


tags: pytorch, marian, text2text-generation, mt, fi, transformers, translation, license:apache-2.0, autonlp_compatible


language:


- ja
- pt


- translation


## license: apache-2.0


### jpn-por


* source group: Japanese
* target group: Portuguese
* OPUS readme: [jpn-por](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/jpn-por/README.md)
* model: transformer-align
* source language(s): jpn jpn_Hani jpn_Hira jpn_Kana jpn_Latn jpn_Yiii
* target language(s): por por_Hira
* model: transformer-align
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* a sentence initial language token is required in the form of `>>id<<` (id = valid target language ID)
* download original weights: [opus-2020-06-17.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/jpn-por/opus-2020-06-17.zip)
* test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/jpn-por/opus-2020-06-17.test.txt)
* test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/jpn-por/opus-2020-06-17.eval.txt)


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.jpn.por 	| 22.2 	| 0.444 |


### System Info:


- hf_name: jpn-por
- source_languages: jpn
- target_languages: por
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/jpn-por/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['ja', 'pt']
- src_constituents: {'jpn_Hang', 'jpn', 'jpn_Yiii', 'jpn_Kana', 'jpn_Hani', 'jpn_Bopo', 'jpn_Latn', 'jpn_Hira'}
- tgt_constituents: {'por'}
- src_multilingual: False
- tgt_multilingual: False
- prepro:  normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/jpn-por/opus-2020-06-17.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/jpn-por/opus-2020-06-17.test.txt
- src_alpha3: jpn
- tgt_alpha3: por
- short_pair: ja-pt
- chrF2_score: 0.444
- bleu: 22.2
- brevity_penalty: 0.922
- ref_len: 15570.0
- src_name: Japanese
- tgt_name: Portuguese
- train_date: 2020-06-17
- src_alpha2: ja
- tgt_alpha2: pt
- prefer_old: False
- long_pair: jpn-por
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41


model name: opus-mt-ja-pt


model author: Helsinki-NLP


task: translation


tags: pytorch, marian, text2text-generation, ja, pt, transformers, translation, license:apache-2.0, autonlp_compatible


- nl
- en
- lb
- af
- de
- fy
- yi
- gmw


tags:


### gmw-gmw


* source group: West Germanic languages
* target group: West Germanic languages
* OPUS readme: [gmw-gmw](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/gmw-gmw/README.md)
* model: transformer
* source language(s): afr ang_Latn deu eng enm_Latn frr fry gos gsw ksh ltz nds nld pdc sco stq swg yid
* target language(s): afr ang_Latn deu eng enm_Latn frr fry gos gsw ksh ltz nds nld pdc sco stq swg yid
* 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/gmw-gmw/opus-2020-07-27.zip)
* test set translations: [opus-2020-07-27.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/gmw-gmw/opus-2020-07-27.test.txt)
* test set scores: [opus-2020-07-27.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/gmw-gmw/opus-2020-07-27.eval.txt)


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| newssyscomb2009-deueng.deu.eng 	| 25.3 	| 0.527 |
| newssyscomb2009-engdeu.eng.deu 	| 19.0 	| 0.502 |
| news-test2008-deueng.deu.eng 	| 23.7 	| 0.515 |
| news-test2008-engdeu.eng.deu 	| 19.2 	| 0.491 |
| newstest2009-deueng.deu.eng 	| 23.1 	| 0.514 |
| newstest2009-engdeu.eng.deu 	| 18.6 	| 0.495 |
| newstest2010-deueng.deu.eng 	| 25.8 	| 0.545 |
| newstest2010-engdeu.eng.deu 	| 20.3 	| 0.505 |
| newstest2011-deueng.deu.eng 	| 23.7 	| 0.523 |
| newstest2011-engdeu.eng.deu 	| 18.9 	| 0.490 |
| newstest2012-deueng.deu.eng 	| 24.4 	| 0.529 |
| newstest2012-engdeu.eng.deu 	| 19.2 	| 0.489 |
| newstest2013-deueng.deu.eng 	| 27.2 	| 0.545 |
| newstest2013-engdeu.eng.deu 	| 22.4 	| 0.514 |
| newstest2014-deen-deueng.deu.eng 	| 27.0 	| 0.546 |
| newstest2015-ende-deueng.deu.eng 	| 28.4 	| 0.552 |
| newstest2015-ende-engdeu.eng.deu 	| 25.3 	| 0.541 |
| newstest2016-ende-deueng.deu.eng 	| 33.2 	| 0.595 |
| newstest2016-ende-engdeu.eng.deu 	| 29.8 	| 0.578 |
| newstest2017-ende-deueng.deu.eng 	| 29.0 	| 0.557 |
| newstest2017-ende-engdeu.eng.deu 	| 23.9 	| 0.534 |
| newstest2018-ende-deueng.deu.eng 	| 35.9 	| 0.607 |
| newstest2018-ende-engdeu.eng.deu 	| 34.8 	| 0.609 |
| newstest2019-deen-deueng.deu.eng 	| 32.1 	| 0.579 |
| newstest2019-ende-engdeu.eng.deu 	| 31.0 	| 0.579 |
| Tatoeba-test.afr-ang.afr.ang 	| 0.0 	| 0.065 |
| Tatoeba-test.afr-deu.afr.deu 	| 46.8 	| 0.668 |
| Tatoeba-test.afr-eng.afr.eng 	| 58.5 	| 0.728 |
| Tatoeba-test.afr-enm.afr.enm 	| 13.4 	| 0.357 |
| Tatoeba-test.afr-fry.afr.fry 	| 5.3 	| 0.026 |
| Tatoeba-test.afr-gos.afr.gos 	| 3.5 	| 0.228 |
| Tatoeba-test.afr-ltz.afr.ltz 	| 1.6 	| 0.131 |
| Tatoeba-test.afr-nld.afr.nld 	| 55.4 	| 0.715 |
| Tatoeba-test.afr-yid.afr.yid 	| 3.4 	| 0.008 |
| Tatoeba-test.ang-afr.ang.afr 	| 3.1 	| 0.096 |
| Tatoeba-test.ang-deu.ang.deu 	| 2.6 	| 0.188 |
| Tatoeba-test.ang-eng.ang.eng 	| 5.4 	| 0.211 |
| Tatoeba-test.ang-enm.ang.enm 	| 1.7 	| 0.197 |
| Tatoeba-test.ang-gos.ang.gos 	| 6.6 	| 0.186 |
| Tatoeba-test.ang-ltz.ang.ltz 	| 5.3 	| 0.072 |
| Tatoeba-test.ang-yid.ang.yid 	| 0.9 	| 0.131 |
| Tatoeba-test.deu-afr.deu.afr 	| 52.7 	| 0.699 |
| Tatoeba-test.deu-ang.deu.ang 	| 0.8 	| 0.133 |
| Tatoeba-test.deu-eng.deu.eng 	| 43.5 	| 0.621 |
| Tatoeba-test.deu-enm.deu.enm 	| 6.9 	| 0.245 |
| Tatoeba-test.deu-frr.deu.frr 	| 0.8 	| 0.200 |
| Tatoeba-test.deu-fry.deu.fry 	| 15.1 	| 0.367 |
| Tatoeba-test.deu-gos.deu.gos 	| 2.2 	| 0.279 |
| Tatoeba-test.deu-gsw.deu.gsw 	| 1.0 	| 0.176 |
| Tatoeba-test.deu-ksh.deu.ksh 	| 0.6 	| 0.208 |
| Tatoeba-test.deu-ltz.deu.ltz 	| 12.1 	| 0.274 |
| Tatoeba-test.deu-nds.deu.nds 	| 18.8 	| 0.446 |
| Tatoeba-test.deu-nld.deu.nld 	| 48.6 	| 0.669 |
| Tatoeba-test.deu-pdc.deu.pdc 	| 4.6 	| 0.198 |
| Tatoeba-test.deu-sco.deu.sco 	| 12.0 	| 0.340 |
| Tatoeba-test.deu-stq.deu.stq 	| 3.2 	| 0.240 |
| Tatoeba-test.deu-swg.deu.swg 	| 0.5 	| 0.179 |
| Tatoeba-test.deu-yid.deu.yid 	| 1.7 	| 0.160 |
| Tatoeba-test.eng-afr.eng.afr 	| 55.8 	| 0.730 |
| Tatoeba-test.eng-ang.eng.ang 	| 5.7 	| 0.157 |
| Tatoeba-test.eng-deu.eng.deu 	| 36.7 	| 0.584 |
| Tatoeba-test.eng-enm.eng.enm 	| 2.0 	| 0.272 |
| Tatoeba-test.eng-frr.eng.frr 	| 6.1 	| 0.246 |
| Tatoeba-test.eng-fry.eng.fry 	| 15.3 	| 0.378 |
| Tatoeba-test.eng-gos.eng.gos 	| 1.2 	| 0.242 |
| Tatoeba-test.eng-gsw.eng.gsw 	| 0.9 	| 0.164 |
| Tatoeba-test.eng-ksh.eng.ksh 	| 0.9 	| 0.170 |
| Tatoeba-test.eng-ltz.eng.ltz 	| 13.7 	| 0.263 |
| Tatoeba-test.eng-nds.eng.nds 	| 17.1 	| 0.410 |
| Tatoeba-test.eng-nld.eng.nld 	| 49.6 	| 0.673 |
| Tatoeba-test.eng-pdc.eng.pdc 	| 5.1 	| 0.218 |
| Tatoeba-test.eng-sco.eng.sco 	| 34.8 	| 0.587 |
| Tatoeba-test.eng-stq.eng.stq 	| 2.1 	| 0.322 |
| Tatoeba-test.eng-swg.eng.swg 	| 1.7 	| 0.192 |
| Tatoeba-test.eng-yid.eng.yid 	| 1.7 	| 0.173 |
| Tatoeba-test.enm-afr.enm.afr 	| 13.4 	| 0.397 |
| Tatoeba-test.enm-ang.enm.ang 	| 0.7 	| 0.063 |
| Tatoeba-test.enm-deu.enm.deu 	| 41.5 	| 0.514 |
| Tatoeba-test.enm-eng.enm.eng 	| 21.3 	| 0.483 |
| Tatoeba-test.enm-fry.enm.fry 	| 0.0 	| 0.058 |
| Tatoeba-test.enm-gos.enm.gos 	| 10.7 	| 0.354 |
| Tatoeba-test.enm-ksh.enm.ksh 	| 7.0 	| 0.161 |
| Tatoeba-test.enm-nds.enm.nds 	| 18.6 	| 0.316 |
| Tatoeba-test.enm-nld.enm.nld 	| 38.3 	| 0.524 |
| Tatoeba-test.enm-yid.enm.yid 	| 0.7 	| 0.128 |
| Tatoeba-test.frr-deu.frr.deu 	| 4.1 	| 0.219 |
| Tatoeba-test.frr-eng.frr.eng 	| 14.1 	| 0.186 |
| Tatoeba-test.frr-fry.frr.fry 	| 3.1 	| 0.129 |
| Tatoeba-test.frr-gos.frr.gos 	| 3.6 	| 0.226 |
| Tatoeba-test.frr-nds.frr.nds 	| 12.4 	| 0.145 |
| Tatoeba-test.frr-nld.frr.nld 	| 9.8 	| 0.209 |
| Tatoeba-test.frr-stq.frr.stq 	| 2.8 	| 0.142 |
| Tatoeba-test.fry-afr.fry.afr 	| 0.0 	| 1.000 |
| Tatoeba-test.fry-deu.fry.deu 	| 30.1 	| 0.535 |
| Tatoeba-test.fry-eng.fry.eng 	| 28.0 	| 0.486 |
| Tatoeba-test.fry-enm.fry.enm 	| 16.0 	| 0.262 |
| Tatoeba-test.fry-frr.fry.frr 	| 5.5 	| 0.160 |
| Tatoeba-test.fry-gos.fry.gos 	| 1.6 	| 0.307 |
| Tatoeba-test.fry-ltz.fry.ltz 	| 30.4 	| 0.438 |
| Tatoeba-test.fry-nds.fry.nds 	| 8.1 	| 0.083 |
| Tatoeba-test.fry-nld.fry.nld 	| 41.4 	| 0.616 |
| Tatoeba-test.fry-stq.fry.stq 	| 1.6 	| 0.217 |
| Tatoeba-test.fry-yid.fry.yid 	| 1.6 	| 0.159 |
| Tatoeba-test.gos-afr.gos.afr 	| 6.3 	| 0.318 |
| Tatoeba-test.gos-ang.gos.ang 	| 6.2 	| 0.058 |
| Tatoeba-test.gos-deu.gos.deu 	| 11.7 	| 0.363 |
| Tatoeba-test.gos-eng.gos.eng 	| 14.9 	| 0.322 |
| Tatoeba-test.gos-enm.gos.enm 	| 9.1 	| 0.398 |
| Tatoeba-test.gos-frr.gos.frr 	| 3.3 	| 0.117 |
| Tatoeba-test.gos-fry.gos.fry 	| 13.1 	| 0.387 |
| Tatoeba-test.gos-ltz.gos.ltz 	| 3.1 	| 0.154 |
| Tatoeba-test.gos-nds.gos.nds 	| 2.4 	| 0.206 |
| Tatoeba-test.gos-nld.gos.nld 	| 13.9 	| 0.395 |
| Tatoeba-test.gos-stq.gos.stq 	| 2.1 	| 0.209 |
| Tatoeba-test.gos-yid.gos.yid 	| 1.7 	| 0.147 |
| Tatoeba-test.gsw-deu.gsw.deu 	| 10.5 	| 0.350 |
| Tatoeba-test.gsw-eng.gsw.eng 	| 10.7 	| 0.299 |
| Tatoeba-test.ksh-deu.ksh.deu 	| 12.0 	| 0.373 |
| Tatoeba-test.ksh-eng.ksh.eng 	| 3.2 	| 0.225 |
| Tatoeba-test.ksh-enm.ksh.enm 	| 13.4 	| 0.308 |
| Tatoeba-test.ltz-afr.ltz.afr 	| 37.4 	| 0.525 |
| Tatoeba-test.ltz-ang.ltz.ang 	| 2.8 	| 0.036 |
| Tatoeba-test.ltz-deu.ltz.deu 	| 40.3 	| 0.596 |
| Tatoeba-test.ltz-eng.ltz.eng 	| 31.7 	| 0.490 |
| Tatoeba-test.ltz-fry.ltz.fry 	| 36.3 	| 0.658 |
| Tatoeba-test.ltz-gos.ltz.gos 	| 2.9 	| 0.209 |
| Tatoeba-test.ltz-nld.ltz.nld 	| 38.8 	| 0.530 |
| Tatoeba-test.ltz-stq.ltz.stq 	| 5.8 	| 0.165 |
| Tatoeba-test.ltz-yid.ltz.yid 	| 1.0 	| 0.159 |
| Tatoeba-test.multi.multi 	| 36.4 	| 0.568 |
| Tatoeba-test.nds-deu.nds.deu 	| 35.0 	| 0.573 |
| Tatoeba-test.nds-eng.nds.eng 	| 29.6 	| 0.495 |
| Tatoeba-test.nds-enm.nds.enm 	| 3.7 	| 0.194 |
| Tatoeba-test.nds-frr.nds.frr 	| 6.6 	| 0.133 |
| Tatoeba-test.nds-fry.nds.fry 	| 4.2 	| 0.087 |
| Tatoeba-test.nds-gos.nds.gos 	| 2.0 	| 0.243 |
| Tatoeba-test.nds-nld.nds.nld 	| 41.4 	| 0.618 |
| Tatoeba-test.nds-swg.nds.swg 	| 0.6 	| 0.178 |
| Tatoeba-test.nds-yid.nds.yid 	| 8.3 	| 0.238 |
| Tatoeba-test.nld-afr.nld.afr 	| 59.4 	| 0.759 |
| Tatoeba-test.nld-deu.nld.deu 	| 49.9 	| 0.685 |
| Tatoeba-test.nld-eng.nld.eng 	| 54.1 	| 0.699 |
| Tatoeba-test.nld-enm.nld.enm 	| 5.0 	| 0.250 |
| Tatoeba-test.nld-frr.nld.frr 	| 2.4 	| 0.224 |
| Tatoeba-test.nld-fry.nld.fry 	| 19.4 	| 0.446 |
| Tatoeba-test.nld-gos.nld.gos 	| 2.5 	| 0.273 |
| Tatoeba-test.nld-ltz.nld.ltz 	| 13.8 	| 0.292 |
| Tatoeba-test.nld-nds.nld.nds 	| 21.3 	| 0.457 |
| Tatoeba-test.nld-sco.nld.sco 	| 14.7 	| 0.423 |
| Tatoeba-test.nld-stq.nld.stq 	| 1.9 	| 0.257 |
| Tatoeba-test.nld-swg.nld.swg 	| 4.2 	| 0.162 |
| Tatoeba-test.nld-yid.nld.yid 	| 2.6 	| 0.186 |
| Tatoeba-test.pdc-deu.pdc.deu 	| 39.7 	| 0.529 |
| Tatoeba-test.pdc-eng.pdc.eng 	| 25.0 	| 0.427 |
| Tatoeba-test.sco-deu.sco.deu 	| 28.4 	| 0.428 |
| Tatoeba-test.sco-eng.sco.eng 	| 41.8 	| 0.595 |
| Tatoeba-test.sco-nld.sco.nld 	| 36.4 	| 0.565 |
| Tatoeba-test.stq-deu.stq.deu 	| 7.7 	| 0.328 |
| Tatoeba-test.stq-eng.stq.eng 	| 21.1 	| 0.428 |
| Tatoeba-test.stq-frr.stq.frr 	| 2.0 	| 0.118 |
| Tatoeba-test.stq-fry.stq.fry 	| 6.3 	| 0.255 |
| Tatoeba-test.stq-gos.stq.gos 	| 1.4 	| 0.244 |
| Tatoeba-test.stq-ltz.stq.ltz 	| 4.4 	| 0.204 |
| Tatoeba-test.stq-nld.stq.nld 	| 10.7 	| 0.371 |
| Tatoeba-test.stq-yid.stq.yid 	| 1.4 	| 0.105 |
| Tatoeba-test.swg-deu.swg.deu 	| 9.5 	| 0.343 |
| Tatoeba-test.swg-eng.swg.eng 	| 15.1 	| 0.306 |
| Tatoeba-test.swg-nds.swg.nds 	| 0.7 	| 0.196 |
| Tatoeba-test.swg-nld.swg.nld 	| 11.6 	| 0.308 |
| Tatoeba-test.swg-yid.swg.yid 	| 0.9 	| 0.186 |
| Tatoeba-test.yid-afr.yid.afr 	| 100.0 	| 1.000 |
| Tatoeba-test.yid-ang.yid.ang 	| 0.6 	| 0.079 |
| Tatoeba-test.yid-deu.yid.deu 	| 16.7 	| 0.372 |
| Tatoeba-test.yid-eng.yid.eng 	| 15.8 	| 0.344 |
| Tatoeba-test.yid-enm.yid.enm 	| 1.3 	| 0.166 |
| Tatoeba-test.yid-fry.yid.fry 	| 5.6 	| 0.157 |
| Tatoeba-test.yid-gos.yid.gos 	| 2.2 	| 0.160 |
| Tatoeba-test.yid-ltz.yid.ltz 	| 2.1 	| 0.238 |
| Tatoeba-test.yid-nds.yid.nds 	| 14.4 	| 0.365 |
| Tatoeba-test.yid-nld.yid.nld 	| 20.9 	| 0.397 |
| Tatoeba-test.yid-stq.yid.stq 	| 3.7 	| 0.165 |
| Tatoeba-test.yid-swg.yid.swg 	| 1.8 	| 0.156 |


- hf_name: gmw-gmw
- source_languages: gmw
- target_languages: gmw
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/gmw-gmw/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['nl', 'en', 'lb', 'af', 'de', 'fy', 'yi', 'gmw']
- src_constituents: {'ksh', 'nld', 'eng', 'enm_Latn', 'ltz', 'stq', 'afr', 'pdc', 'deu', 'gos', 'ang_Latn', 'fry', 'gsw', 'frr', 'nds', 'yid', 'swg', 'sco'}
- tgt_constituents: {'ksh', 'nld', 'eng', 'enm_Latn', 'ltz', 'stq', 'afr', 'pdc', 'deu', 'gos', 'ang_Latn', 'fry', 'gsw', 'frr', 'nds', 'yid', 'swg', 'sco'}
- src_multilingual: True
- tgt_multilingual: True
- prepro:  normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/gmw-gmw/opus-2020-07-27.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/gmw-gmw/opus-2020-07-27.test.txt
- src_alpha3: gmw
- tgt_alpha3: gmw
- short_pair: gmw-gmw
- chrF2_score: 0.568
- bleu: 36.4
- brevity_penalty: 1.0
- ref_len: 72534.0
- src_name: West Germanic languages
- tgt_name: West Germanic languages
- train_date: 2020-07-27
- src_alpha2: gmw
- tgt_alpha2: gmw
- prefer_old: False
- long_pair: gmw-gmw
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41


model name: opus-mt-gmw-gmw


tags: pytorch, marian, text2text-generation, nl, en, lb, af, de, fy, yi, gmw, transformers, translation, license:apache-2.0, autonlp_compatible


- translation
license: apache-2.0


### opus-mt-sv-ts


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.sv.ts 	| 34.4 	| 0.567 |


model name: opus-mt-sv-ts


model author: Helsinki-NLP


task: translation


tags: pytorch, marian, text2text-generation, sv, ts, transformers, translation, license:apache-2.0, autonlp_compatible


language:


- rn
- fr


tags:


- translation


## license: apache-2.0


### run-fra


* source group: Rundi
* target group: French
* OPUS readme: [run-fra](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/run-fra/README.md)
* model: transformer-align
* source language(s): run
* target language(s): fra
* 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/run-fra/opus-2020-06-16.zip)
* test set translations: [opus-2020-06-16.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/run-fra/opus-2020-06-16.test.txt)
* test set scores: [opus-2020-06-16.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/run-fra/opus-2020-06-16.eval.txt)


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.run.fra 	| 18.2 	| 0.397 |


### System Info:


- hf_name: run-fra
- source_languages: run
- target_languages: fra
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/run-fra/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['rn', 'fr']
- src_constituents: {'run'}
- tgt_constituents: {'fra'}
- src_multilingual: False
- tgt_multilingual: False
- prepro:  normalization + SentencePiece (spm4k,spm4k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/run-fra/opus-2020-06-16.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/run-fra/opus-2020-06-16.test.txt
- src_alpha3: run
- tgt_alpha3: fra
- short_pair: rn-fr
- chrF2_score: 0.397
- bleu: 18.2
- brevity_penalty: 1.0
- ref_len: 7496.0
- src_name: Rundi
- tgt_name: French
- train_date: 2020-06-16
- src_alpha2: rn
- tgt_alpha2: fr
- prefer_old: False
- long_pair: run-fra
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41


model name: opus-mt-rn-fr


tags: pytorch, marian, text2text-generation, rn, fr, transformers, translation, license:apache-2.0, autonlp_compatible


- eo
- hu


### epo-hun


* source group: Esperanto
* target group: Hungarian
* OPUS readme: [epo-hun](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/epo-hun/README.md)
* model: transformer-align
* source language(s): epo
* target language(s): hun
* 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-hun/opus-2020-06-16.zip)
* test set translations: [opus-2020-06-16.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/epo-hun/opus-2020-06-16.test.txt)
* test set scores: [opus-2020-06-16.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/epo-hun/opus-2020-06-16.eval.txt)


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.epo.hun 	| 12.8 	| 0.333 |


- hf_name: epo-hun
- source_languages: epo
- target_languages: hun
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/epo-hun/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['eo', 'hu']
- src_constituents: {'epo'}
- tgt_constituents: {'hun'}
- src_multilingual: False
- tgt_multilingual: False
- prepro:  normalization + SentencePiece (spm4k,spm4k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/epo-hun/opus-2020-06-16.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/epo-hun/opus-2020-06-16.test.txt
- src_alpha3: epo
- tgt_alpha3: hun
- short_pair: eo-hu
- chrF2_score: 0.33299999999999996
- bleu: 12.8
- brevity_penalty: 0.914
- ref_len: 65704.0
- src_name: Esperanto
- tgt_name: Hungarian
- train_date: 2020-06-16
- src_alpha2: eo
- tgt_alpha2: hu
- prefer_old: False
- long_pair: epo-hun
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41


model name: opus-mt-eo-hu


model author: Helsinki-NLP


task: translation


tags: pytorch, marian, text2text-generation, eo, hu, transformers, translation, license:apache-2.0, autonlp_compatible


tags:


- translation
license: apache-2.0


### opus-mt-en-gil


* source languages: en
* target languages: gil
* OPUS readme: [en-gil](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-gil/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-20.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-gil/opus-2020-01-20.zip)
* test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-gil/opus-2020-01-20.test.txt)
* test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-gil/opus-2020-01-20.eval.txt)


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.en.gil 	| 38.8 	| 0.604 |


model name: opus-mt-en-gil


tags: pytorch, marian, text2text-generation, en, gil, transformers, translation, license:apache-2.0, autonlp_compatible


### opus-mt-wls-en


* source languages: wls
* target languages: en
* OPUS readme: [wls-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/wls-en/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/wls-en/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/wls-en/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/wls-en/opus-2020-01-16.eval.txt)


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.wls.en 	| 31.8 	| 0.471 |


model name: opus-mt-wls-en


tags: pytorch, marian, text2text-generation, wls, en, transformers, translation, license:apache-2.0, autonlp_compatible


language:


- ca
- nl


- translation


## license: apache-2.0


### cat-nld


* source group: Catalan
* target group: Dutch
* OPUS readme: [cat-nld](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/cat-nld/README.md)
* model: transformer-align
* source language(s): cat
* target language(s): nld
* model: transformer-align
* pre-processing: normalization + SentencePiece (spm12k,spm12k)
* download original weights: [opus-2020-06-16.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/cat-nld/opus-2020-06-16.zip)
* test set translations: [opus-2020-06-16.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/cat-nld/opus-2020-06-16.test.txt)
* test set scores: [opus-2020-06-16.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/cat-nld/opus-2020-06-16.eval.txt)


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.cat.nld 	| 45.1 	| 0.632 |


### System Info:


- hf_name: cat-nld
- source_languages: cat
- target_languages: nld
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/cat-nld/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['ca', 'nl']
- src_constituents: {'cat'}
- tgt_constituents: {'nld'}
- src_multilingual: False
- tgt_multilingual: False
- prepro:  normalization + SentencePiece (spm12k,spm12k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/cat-nld/opus-2020-06-16.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/cat-nld/opus-2020-06-16.test.txt
- src_alpha3: cat
- tgt_alpha3: nld
- short_pair: ca-nl
- chrF2_score: 0.632
- bleu: 45.1
- brevity_penalty: 0.965
- ref_len: 4157.0
- src_name: Catalan
- tgt_name: Dutch
- train_date: 2020-06-16
- src_alpha2: ca
- tgt_alpha2: nl
- prefer_old: False
- long_pair: cat-nld
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41


model name: opus-mt-ca-nl


model author: Helsinki-NLP


task: translation


tags: pytorch, marian, text2text-generation, ca, nl, transformers, translation, license:apache-2.0, autonlp_compatible


- de
- ca


tags:


### deu-cat


* source group: German
* target group: Catalan
* OPUS readme: [deu-cat](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/deu-cat/README.md)
* model: transformer-align
* source language(s): deu
* target language(s): cat
* 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/deu-cat/opus-2020-06-16.zip)
* test set translations: [opus-2020-06-16.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/deu-cat/opus-2020-06-16.test.txt)
* test set scores: [opus-2020-06-16.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/deu-cat/opus-2020-06-16.eval.txt)


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.deu.cat 	| 37.4 	| 0.582 |


- hf_name: deu-cat
- source_languages: deu
- target_languages: cat
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/deu-cat/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['de', 'ca']
- src_constituents: {'deu'}
- tgt_constituents: {'cat'}
- src_multilingual: False
- tgt_multilingual: False
- prepro:  normalization + SentencePiece (spm12k,spm12k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/deu-cat/opus-2020-06-16.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/deu-cat/opus-2020-06-16.test.txt
- src_alpha3: deu
- tgt_alpha3: cat
- short_pair: de-ca
- chrF2_score: 0.5820000000000001
- bleu: 37.4
- brevity_penalty: 0.956
- ref_len: 5507.0
- src_name: German
- tgt_name: Catalan
- train_date: 2020-06-16
- src_alpha2: de
- tgt_alpha2: ca
- prefer_old: False
- long_pair: deu-cat
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41


model name: opus-mt-de-ca


tags: pytorch, marian, text2text-generation, de, ca, transformers, translation, license:apache-2.0, autonlp_compatible


- translation
license: apache-2.0


### opus-mt-csg-es


* source languages: csg
* target languages: es
* OPUS readme: [csg-es](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/csg-es/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-15.zip](https://object.pouta.csc.fi/OPUS-MT-models/csg-es/opus-2020-01-15.zip)
* test set translations: [opus-2020-01-15.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/csg-es/opus-2020-01-15.test.txt)
* test set scores: [opus-2020-01-15.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/csg-es/opus-2020-01-15.eval.txt)


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


model name: opus-mt-csg-es


model author: Helsinki-NLP


task: translation


tags: pytorch, marian, text2text-generation, csg, es, transformers, translation, license:apache-2.0, autonlp_compatible


### opus-mt-tr-sv


* source languages: tr
* target languages: sv
* OPUS readme: [tr-sv](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/tr-sv/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/tr-sv/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/tr-sv/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/tr-sv/opus-2020-01-16.eval.txt)


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


model name: opus-mt-tr-sv


tags: pytorch, marian, text2text-generation, tr, sv, transformers, translation, license:apache-2.0, autonlp_compatible


tags:


### opus-mt-fi-ln


* source languages: fi
* target languages: ln
* OPUS readme: [fi-ln](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fi-ln/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-24.zip](https://object.pouta.csc.fi/OPUS-MT-models/fi-ln/opus-2020-01-24.zip)
* test set translations: [opus-2020-01-24.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-ln/opus-2020-01-24.test.txt)
* test set scores: [opus-2020-01-24.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-ln/opus-2020-01-24.eval.txt)


## Benchmarks


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


model name: opus-mt-fi-ln


tags: pytorch, marian, text2text-generation, fi, ln, transformers, translation, license:apache-2.0, autonlp_compatible


- translation
license: apache-2.0


### opus-mt-lus-es


* source languages: lus
* target languages: es
* OPUS readme: [lus-es](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/lus-es/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/lus-es/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/lus-es/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/lus-es/opus-2020-01-16.eval.txt)


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


model name: opus-mt-lus-es


model author: Helsinki-NLP


task: translation


tags: pytorch, marian, text2text-generation, lus, es, transformers, translation, license:apache-2.0, autonlp_compatible


language:


- uk
- nl


tags:


- translation


## license: apache-2.0


### ukr-nld


* source group: Ukrainian
* target group: Dutch
* OPUS readme: [ukr-nld](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/ukr-nld/README.md)
* model: transformer-align
* source language(s): ukr
* target language(s): nld
* model: transformer-align
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* download original weights: [opus-2020-06-17.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/ukr-nld/opus-2020-06-17.zip)
* test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/ukr-nld/opus-2020-06-17.test.txt)
* test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/ukr-nld/opus-2020-06-17.eval.txt)


## Benchmarks


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


### System Info:


- hf_name: ukr-nld
- source_languages: ukr
- target_languages: nld
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/ukr-nld/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['uk', 'nl']
- src_constituents: {'ukr'}
- tgt_constituents: {'nld'}
- src_multilingual: False
- tgt_multilingual: False
- prepro:  normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/ukr-nld/opus-2020-06-17.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/ukr-nld/opus-2020-06-17.test.txt
- src_alpha3: ukr
- tgt_alpha3: nld
- short_pair: uk-nl
- chrF2_score: 0.6559999999999999
- bleu: 48.7
- brevity_penalty: 0.985
- ref_len: 59943.0
- src_name: Ukrainian
- tgt_name: Dutch
- train_date: 2020-06-17
- src_alpha2: uk
- tgt_alpha2: nl
- prefer_old: False
- long_pair: ukr-nld
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41


model name: opus-mt-uk-nl


tags: pytorch, marian, text2text-generation, uk, nl, transformers, translation, license:apache-2.0, autonlp_compatible


- translation
license: apache-2.0


### opus-mt-en-INSULAR_CELTIC


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


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


model name: opus-mt-en-CELTIC


model author: Helsinki-NLP


task: translation


tags: pytorch, marian, text2text-generation, en, cel, transformers, translation, license:apache-2.0, autonlp_compatible


tags:


### opus-mt-fr-kqn


* source languages: fr
* target languages: kqn
* OPUS readme: [fr-kqn](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-kqn/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-09.zip](https://object.pouta.csc.fi/OPUS-MT-models/fr-kqn/opus-2020-01-09.zip)
* test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-kqn/opus-2020-01-09.test.txt)
* test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-kqn/opus-2020-01-09.eval.txt)


## Benchmarks


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


model name: opus-mt-fr-kqn


tags: pytorch, marian, text2text-generation, fr, kqn, transformers, translation, license:apache-2.0, autonlp_compatible


### opus-mt-mk-en


* source languages: mk
* target languages: en
* OPUS readme: [mk-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/mk-en/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2019-12-18.zip](https://object.pouta.csc.fi/OPUS-MT-models/mk-en/opus-2019-12-18.zip)
* test set translations: [opus-2019-12-18.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/mk-en/opus-2019-12-18.test.txt)
* test set scores: [opus-2019-12-18.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/mk-en/opus-2019-12-18.eval.txt)


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


model name: opus-mt-mk-en


tags: pytorch, marian, text2text-generation, mk, en, transformers, translation, license:apache-2.0, autonlp_compatible


- translation
license: apache-2.0


### opus-mt-en-pag


* source languages: en
* target languages: pag
* OPUS readme: [en-pag](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-pag/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-20.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-pag/opus-2020-01-20.zip)
* test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-pag/opus-2020-01-20.test.txt)
* test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-pag/opus-2020-01-20.eval.txt)


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


model name: opus-mt-en-pag


model author: Helsinki-NLP


task: translation


tags: pytorch, marian, text2text-generation, en, pag, transformers, translation, license:apache-2.0, autonlp_compatible


tags:


### opus-mt-ha-en


* source languages: ha
* target languages: en
* OPUS readme: [ha-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/ha-en/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-09.zip](https://object.pouta.csc.fi/OPUS-MT-models/ha-en/opus-2020-01-09.zip)
* test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/ha-en/opus-2020-01-09.test.txt)
* test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/ha-en/opus-2020-01-09.eval.txt)


## Benchmarks


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


model name: opus-mt-ha-en


tags: pytorch, marian, text2text-generation, ha, en, transformers, translation, license:apache-2.0, autonlp_compatible


### opus-mt-fr-mfe


* source languages: fr
* target languages: mfe
* OPUS readme: [fr-mfe](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-mfe/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-20.zip](https://object.pouta.csc.fi/OPUS-MT-models/fr-mfe/opus-2020-01-20.zip)
* test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-mfe/opus-2020-01-20.test.txt)
* test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-mfe/opus-2020-01-20.eval.txt)


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


model name: opus-mt-fr-mfe


tags: pytorch, marian, text2text-generation, fr, mfe, transformers, translation, license:apache-2.0, autonlp_compatible


- translation
license: apache-2.0


### opus-mt-fi-lue


* source languages: fi
* target languages: lue
* OPUS readme: [fi-lue](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fi-lue/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-08.zip](https://object.pouta.csc.fi/OPUS-MT-models/fi-lue/opus-2020-01-08.zip)
* test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-lue/opus-2020-01-08.test.txt)
* test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-lue/opus-2020-01-08.eval.txt)


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


model name: opus-mt-fi-lue


model author: Helsinki-NLP


task: translation


tags: pytorch, marian, text2text-generation, fi, lue, transformers, translation, license:apache-2.0, autonlp_compatible


language:


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


tags:


- translation


## license: apache-2.0


### eng-gmq


* source group: English
* target group: North Germanic languages
* OPUS readme: [eng-gmq](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-gmq/README.md)
* model: transformer
* source language(s): eng
* target language(s): dan fao isl nno nob nob_Hebr non_Latn swe
* model: transformer
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* a sentence initial language token is required in the form of `>>id<<` (id = valid target language ID)
* download original weights: [opus2m-2020-08-01.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-gmq/opus2m-2020-08-01.zip)
* test set translations: [opus2m-2020-08-01.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-gmq/opus2m-2020-08-01.test.txt)
* test set scores: [opus2m-2020-08-01.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-gmq/opus2m-2020-08-01.eval.txt)


## Benchmarks


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


### System Info:


- hf_name: eng-gmq
- source_languages: eng
- target_languages: gmq
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-gmq/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['en', 'da', 'nb', 'sv', 'is', 'nn', 'fo', 'gmq']
- src_constituents: {'eng'}
- tgt_constituents: {'dan', 'nob', 'nob_Hebr', 'swe', 'isl', 'nno', 'non_Latn', 'fao'}
- src_multilingual: False
- tgt_multilingual: True
- prepro:  normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-gmq/opus2m-2020-08-01.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-gmq/opus2m-2020-08-01.test.txt
- src_alpha3: eng
- tgt_alpha3: gmq
- short_pair: en-gmq
- chrF2_score: 0.688
- bleu: 52.8
- brevity_penalty: 0.973
- ref_len: 71881.0
- src_name: English
- tgt_name: North Germanic languages
- train_date: 2020-08-01
- src_alpha2: en
- tgt_alpha2: gmq
- prefer_old: False
- long_pair: eng-gmq
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41


model name: opus-mt-en-gmq


tags: pytorch, marian, text2text-generation, en, da, nb, sv, is, nn, fo, gmq, transformers, translation, license:apache-2.0, autonlp_compatible


- af
- nl


### afr-nld


* source group: Afrikaans
* target group: Dutch
* OPUS readme: [afr-nld](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/afr-nld/README.md)
* model: transformer-align
* source language(s): afr
* target language(s): nld
* model: transformer-align
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* download original weights: [opus-2020-06-17.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/afr-nld/opus-2020-06-17.zip)
* test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/afr-nld/opus-2020-06-17.test.txt)
* test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/afr-nld/opus-2020-06-17.eval.txt)


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


- hf_name: afr-nld
- source_languages: afr
- target_languages: nld
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/afr-nld/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['af', 'nl']
- src_constituents: {'afr'}
- tgt_constituents: {'nld'}
- src_multilingual: False
- tgt_multilingual: False
- prepro:  normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/afr-nld/opus-2020-06-17.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/afr-nld/opus-2020-06-17.test.txt
- src_alpha3: afr
- tgt_alpha3: nld
- short_pair: af-nl
- chrF2_score: 0.715
- bleu: 55.2
- brevity_penalty: 0.995
- ref_len: 6710.0
- src_name: Afrikaans
- tgt_name: Dutch
- train_date: 2020-06-17
- src_alpha2: af
- tgt_alpha2: nl
- prefer_old: False
- long_pair: afr-nld
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41


model name: opus-mt-af-nl


model author: Helsinki-NLP


task: translation


tags: pytorch, marian, text2text-generation, af, nl, transformers, translation, license:apache-2.0, autonlp_compatible


language:


- hy
- ru


tags:


- translation


## license: apache-2.0


### hye-rus


* source group: Armenian
* target group: Russian
* OPUS readme: [hye-rus](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/hye-rus/README.md)
* model: transformer-align
* source language(s): hye hye_Latn
* target language(s): rus
* model: transformer-align
* pre-processing: normalization + SentencePiece (spm4k,spm4k)
* download original weights: [opus-2020-06-16.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/hye-rus/opus-2020-06-16.zip)
* test set translations: [opus-2020-06-16.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/hye-rus/opus-2020-06-16.test.txt)
* test set scores: [opus-2020-06-16.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/hye-rus/opus-2020-06-16.eval.txt)


## Benchmarks


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


### System Info:


- hf_name: hye-rus
- source_languages: hye
- target_languages: rus
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/hye-rus/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['hy', 'ru']
- src_constituents: {'hye', 'hye_Latn'}
- tgt_constituents: {'rus'}
- src_multilingual: False
- tgt_multilingual: False
- prepro:  normalization + SentencePiece (spm4k,spm4k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/hye-rus/opus-2020-06-16.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/hye-rus/opus-2020-06-16.test.txt
- src_alpha3: hye
- tgt_alpha3: rus
- short_pair: hy-ru
- chrF2_score: 0.47600000000000003
- bleu: 25.6
- brevity_penalty: 0.929
- ref_len: 1624.0
- src_name: Armenian
- tgt_name: Russian
- train_date: 2020-06-16
- src_alpha2: hy
- tgt_alpha2: ru
- prefer_old: False
- long_pair: hye-rus
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41


model name: opus-mt-hy-ru


tags: pytorch, marian, text2text-generation, hy, ru, transformers, translation, license:apache-2.0, autonlp_compatible


- vi
- ru


### vie-rus


* source group: Vietnamese
* target group: Russian
* OPUS readme: [vie-rus](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/vie-rus/README.md)
* model: transformer-align
* source language(s): vie
* target language(s): rus
* model: transformer-align
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* download original weights: [opus-2020-06-17.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/vie-rus/opus-2020-06-17.zip)
* test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/vie-rus/opus-2020-06-17.test.txt)
* test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/vie-rus/opus-2020-06-17.eval.txt)


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


- hf_name: vie-rus
- source_languages: vie
- target_languages: rus
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/vie-rus/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['vi', 'ru']
- src_constituents: {'vie', 'vie_Hani'}
- tgt_constituents: {'rus'}
- src_multilingual: False
- tgt_multilingual: False
- prepro:  normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/vie-rus/opus-2020-06-17.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/vie-rus/opus-2020-06-17.test.txt
- src_alpha3: vie
- tgt_alpha3: rus
- short_pair: vi-ru
- chrF2_score: 0.331
- bleu: 16.9
- brevity_penalty: 0.878
- ref_len: 2207.0
- src_name: Vietnamese
- tgt_name: Russian
- train_date: 2020-06-17
- src_alpha2: vi
- tgt_alpha2: ru
- prefer_old: False
- long_pair: vie-rus
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41


model name: opus-mt-vi-ru


model author: Helsinki-NLP


task: translation


tags: pytorch, marian, text2text-generation, vi, ru, transformers, translation, license:apache-2.0, autonlp_compatible


tags:


- translation
license: apache-2.0


### opus-mt-fi-lu


* source languages: fi
* target languages: lu
* OPUS readme: [fi-lu](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fi-lu/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-08.zip](https://object.pouta.csc.fi/OPUS-MT-models/fi-lu/opus-2020-01-08.zip)
* test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-lu/opus-2020-01-08.test.txt)
* test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-lu/opus-2020-01-08.eval.txt)


## Benchmarks


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


model name: opus-mt-fi-lu


tags: pytorch, marian, text2text-generation, fi, lu, transformers, translation, license:apache-2.0, autonlp_compatible


language:


- ja
- tr


- translation


## license: apache-2.0


### jpn-tur


* source group: Japanese
* target group: Turkish
* OPUS readme: [jpn-tur](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/jpn-tur/README.md)
* model: transformer-align
* source language(s): jpn jpn_Bopo jpn_Hang jpn_Hani jpn_Hira jpn_Kana jpn_Yiii
* target language(s): tur
* model: transformer-align
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* download original weights: [opus-2020-06-17.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/jpn-tur/opus-2020-06-17.zip)
* test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/jpn-tur/opus-2020-06-17.test.txt)
* test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/jpn-tur/opus-2020-06-17.eval.txt)


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


### System Info:


- hf_name: jpn-tur
- source_languages: jpn
- target_languages: tur
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/jpn-tur/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['ja', 'tr']
- src_constituents: {'jpn_Hang', 'jpn', 'jpn_Yiii', 'jpn_Kana', 'jpn_Hani', 'jpn_Bopo', 'jpn_Latn', 'jpn_Hira'}
- tgt_constituents: {'tur'}
- src_multilingual: False
- tgt_multilingual: False
- prepro:  normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/jpn-tur/opus-2020-06-17.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/jpn-tur/opus-2020-06-17.test.txt
- src_alpha3: jpn
- tgt_alpha3: tur
- short_pair: ja-tr
- chrF2_score: 0.434
- bleu: 16.7
- brevity_penalty: 0.932
- ref_len: 4755.0
- src_name: Japanese
- tgt_name: Turkish
- train_date: 2020-06-17
- src_alpha2: ja
- tgt_alpha2: tr
- prefer_old: False
- long_pair: jpn-tur
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41


model name: opus-mt-ja-tr


model author: Helsinki-NLP


task: translation


tags: pytorch, marian, text2text-generation, ja, tr, transformers, translation, license:apache-2.0, autonlp_compatible


tags:


- translation
license: apache-2.0


### opus-mt-fi-lg


* source languages: fi
* target languages: lg
* OPUS readme: [fi-lg](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fi-lg/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-24.zip](https://object.pouta.csc.fi/OPUS-MT-models/fi-lg/opus-2020-01-24.zip)
* test set translations: [opus-2020-01-24.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-lg/opus-2020-01-24.test.txt)
* test set scores: [opus-2020-01-24.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-lg/opus-2020-01-24.eval.txt)


## Benchmarks


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


model name: opus-mt-fi-lg


tags: pytorch, marian, text2text-generation, fi, lg, transformers, translation, license:apache-2.0, autonlp_compatible


language:


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


- translation


## license: apache-2.0


### itc-itc


* source group: Italic languages
* target group: Italic languages
* OPUS readme: [itc-itc](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/itc-itc/README.md)
* model: transformer
* source language(s): arg ast bjn cat cos egl fra frm_Latn gcf_Latn glg hat ind ita lad lad_Latn lat_Grek lat_Latn lij lld_Latn lmo mwl oci pap pcd pms por roh ron scn spa srd vec wln zsm_Latn
* target language(s): arg ast bjn cat cos egl fra frm_Latn gcf_Latn glg hat ind ita lad lad_Latn lat_Grek lat_Latn lij lld_Latn lmo mwl oci pap pcd pms por roh ron scn spa srd vec wln zsm_Latn
* model: transformer
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* a sentence initial language token is required in the form of `>>id<<` (id = valid target language ID)
* download original weights: [opus-2020-07-07.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/itc-itc/opus-2020-07-07.zip)
* test set translations: [opus-2020-07-07.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/itc-itc/opus-2020-07-07.test.txt)
* test set scores: [opus-2020-07-07.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/itc-itc/opus-2020-07-07.eval.txt)


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


### System Info:


- hf_name: itc-itc
- source_languages: itc
- target_languages: itc
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/itc-itc/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['it', 'ca', 'rm', 'es', 'ro', 'gl', 'sc', 'co', 'wa', 'pt', 'oc', 'an', 'id', 'fr', 'ht', 'itc']
- src_constituents: {'ita', 'cat', 'roh', 'spa', 'pap', 'bjn', 'lmo', 'mwl', 'lij', 'lat_Latn', 'lad_Latn', 'pcd', 'lat_Grek', 'ext', 'ron', 'ast', 'glg', 'pms', 'zsm_Latn', 'srd', 'gcf_Latn', 'lld_Latn', 'min', 'tmw_Latn', 'cos', 'wln', 'zlm_Latn', 'por', 'egl', 'oci', 'vec', 'arg', 'ind', 'fra', 'hat', 'lad', 'max_Latn', 'frm_Latn', 'scn', 'mfe'}
- tgt_constituents: {'ita', 'cat', 'roh', 'spa', 'pap', 'bjn', 'lmo', 'mwl', 'lij', 'lat_Latn', 'lad_Latn', 'pcd', 'lat_Grek', 'ext', 'ron', 'ast', 'glg', 'pms', 'zsm_Latn', 'srd', 'gcf_Latn', 'lld_Latn', 'min', 'tmw_Latn', 'cos', 'wln', 'zlm_Latn', 'por', 'egl', 'oci', 'vec', 'arg', 'ind', 'fra', 'hat', 'lad', 'max_Latn', 'frm_Latn', 'scn', 'mfe'}
- src_multilingual: True
- tgt_multilingual: True
- prepro:  normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/itc-itc/opus-2020-07-07.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/itc-itc/opus-2020-07-07.test.txt
- src_alpha3: itc
- tgt_alpha3: itc
- short_pair: itc-itc
- chrF2_score: 0.599
- bleu: 40.8
- brevity_penalty: 0.968
- ref_len: 77448.0
- src_name: Italic languages
- tgt_name: Italic languages
- train_date: 2020-07-07
- src_alpha2: itc
- tgt_alpha2: itc
- prefer_old: False
- long_pair: itc-itc
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41


model name: opus-mt-itc-itc


model author: Helsinki-NLP


task: translation


tags: pytorch, marian, text2text-generation, it, ca, rm, es, ro, gl, sc, co, wa, pt, oc, an, id, fr, ht, itc, transformers, translation, license:apache-2.0, autonlp_compatible


tags:


- translation
license: apache-2.0


### opus-mt-de-efi


* source languages: de
* target languages: efi
* OPUS readme: [de-efi](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/de-efi/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-20.zip](https://object.pouta.csc.fi/OPUS-MT-models/de-efi/opus-2020-01-20.zip)
* test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-efi/opus-2020-01-20.test.txt)
* test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-efi/opus-2020-01-20.eval.txt)


## Benchmarks


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


model name: opus-mt-de-efi


tags: pytorch, marian, text2text-generation, de, efi, transformers, translation, license:apache-2.0, autonlp_compatible


language:


- de
- tl


- translation


## license: apache-2.0


### deu-tgl


* source group: German
* target group: Tagalog
* OPUS readme: [deu-tgl](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/deu-tgl/README.md)
* model: transformer-align
* source language(s): deu
* target language(s): tgl_Latn
* model: transformer-align
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* download original weights: [opus-2020-06-17.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/deu-tgl/opus-2020-06-17.zip)
* test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/deu-tgl/opus-2020-06-17.test.txt)
* test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/deu-tgl/opus-2020-06-17.eval.txt)


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


### System Info: