Helsinki-NLP
opus-mt-fr-en
--- tags: - translation license: apache-2.0 ---
opus-mt-en-fr
--- pipeline_tag: translation license: apache-2.0 ---
opus-mt-zh-en
--- language: - zh - en
opus-mt-en-es
--- language: - en - es
opus-mt-de-en
--- tags: - translation license: apache-2.0 ---
opus-mt-es-en
--- language: - es - en
opus-mt-en-de
--- tags: - translation license: cc-by-4.0 ---
opus-mt-nl-en
--- tags: - translation license: apache-2.0 ---
opus-mt-ru-en
--- tags: - translation license: cc-by-4.0 ---
opus-mt-ko-en
--- language: - ko - en
opus-mt-it-en
--- tags: - translation license: apache-2.0 ---
opus-mt-ar-en
opus-mt-tc-big-en-tr
opus-mt-tc-big-tr-en
opus-mt-mul-en
opus-mt-en-ar
opus-mt-es-ca
opus-mt-es-eu
opus-mt-es-gl
opus-mt-tr-en
opus-mt-en-zh
source group: English target group: Chinese OPUS readme: eng-zho model: transformer source language(s): eng target language(s): cjyHans cjyHant cmn cmnHans cmnHant gan lzh lzhHans nan wuu yue yueHa...
opus-mt-en-ru
source languages: en target languages: ru OPUS readme: en-ru dataset: opus model: transformer-align pre-processing: normalization + SentencePiece download original weights: opus-2020-02-11.zip test set translations: opus-2020-02-11.test.txt test set scores: opus-2020-02-11.eval.txt | testset | BLEU | chr-F | |-----------------------|-------|-------| | newstest2012.en.ru | 31.1 | 0.581 | | newstest2013.en.ru | 23.5 | 0.513 | | newstest2015-enru.en.ru | 27.5 | 0.564 | | newstest2016-enru.en.ru | 26.4 | 0.548 | | newstest2017-enru.en.ru | 29.1 | 0.572 | | newstest2018-enru.en.ru | 25.4 | 0.554 | | newstest2019-enru.en.ru | 27.1 | 0.533 | | Tatoeba.en.ru | 48.4 | 0.669 |
opus-mt-en-id
source languages: en target languages: id OPUS readme: en-id dataset: opus model: transformer-align pre-processing: normalization + SentencePiece download original weights: opus-2019-12-18.zip test set translations: opus-2019-12-18.test.txt test set scores: opus-2019-12-18.eval.txt | testset | BLEU | chr-F | |-----------------------|-------|-------| | Tatoeba.en.id | 38.3 | 0.636 |
opus-mt-en-hi
source group: English target group: Hindi OPUS readme: eng-hin model: transformer-align source language(s): eng target language(s): hin model: transformer-align pre-processing: normalization + SentencePiece (spm32k,spm32k) download original weights: opus-2020-06-17.zip test set translations: opus-2020-06-17.test.txt test set scores: opus-2020-06-17.eval.txt | testset | BLEU | chr-F | |-----------------------|-------|-------| | newsdev2014.eng.hin | 6.9 | 0.296 | | newstest2014-hien.eng.hin | 9.9 | 0.323 | | Tatoeba-test.eng.hin | 16.1 | 0.447 | - opusreadmeurl: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-hin/README.md - prepro: normalization + SentencePiece (spm32k,spm32k) - urlmodel: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-hin/opus-2020-06-17.zip - urltestset: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-hin/opus-2020-06-17.test.txt - helsinkigitsha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformersgitsha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
opus-mt-ja-en
opus-mt-ROMANCE-en
source languages: fr,frBE,frCA,frFR,wa,frp,oc,ca,rm,lld,fur,lij,lmo,es,esAR,esCL,esCO,esCR,esDO,esEC,esES,esGT,esHN,esMX,esNI,esPA,esPE,esPR,esSV,esUY,esVE,pt,ptbr,ptBR,ptPT,gl,lad,an,mwl,it,itIT,co,nap,scn,vec,sc,ro,la target languages: en OPUS readme: fr+frBE+frCA+frFR+wa+frp+oc+ca+rm+lld+fur+lij+lmo+es+esAR+esCL+esCO+esCR+esDO+esEC+esES+esGT+esHN+esMX+esNI+esPA+esPE+esPR+esSV+esUY+esVE+pt+ptbr+ptBR+ptPT+gl+lad+an+mwl+it+itIT+co+nap+scn+vec+sc+ro+la-en dataset: opus model: transformer pre-processing: normalization + SentencePiece download original weights: opus-2020-04-01.zip test set translations: opus-2020-04-01.test.txt test set scores: opus-2020-04-01.eval.txt | testset | BLEU | chr-F | |-----------------------|-------|-------| | Tatoeba.fr.en | 62.2 | 0.750 |
opus-mt-pl-en
source languages: pl target languages: en OPUS readme: pl-en dataset: opus model: transformer-align pre-processing: normalization + SentencePiece download original weights: opus-2019-12-18.zip test set translations: opus-2019-12-18.test.txt test set scores: opus-2019-12-18.eval.txt | testset | BLEU | chr-F | |-----------------------|-------|-------| | Tatoeba.pl.en | 54.9 | 0.701 |
opus-mt-fr-es
source languages: fr target languages: es OPUS readme: fr-es dataset: opus model: transformer-align pre-processing: normalization + SentencePiece download original weights: opus-2020-01-09.zip test set translations: opus-2020-01-09.test.txt test set scores: opus-2020-01-09.eval.txt | testset | BLEU | chr-F | |-----------------------|-------|-------| | newssyscomb2009.fr.es | 34.3 | 0.601 | | news-test2008.fr.es | 32.5 | 0.583 | | newstest2009.fr.es | 31.6 | 0.586 | | newstest2010.fr.es | 36.5 | 0.616 | | newstest2011.fr.es | 38.3 | 0.622 | | newstest2012.fr.es | 38.1 | 0.619 | | newstest2013.fr.es | 34.0 | 0.587 | | Tatoeba.fr.es | 53.2 | 0.709 |
opus-mt-eu-es
source group: Basque target group: Spanish OPUS readme: eus-spa model: transformer-align source language(s): eus target language(s): spa model: transformer-align pre-processing: normalization + SentencePiece (spm32k,spm32k) download original weights: opus-2020-06-17.zip test set translations: opus-2020-06-17.test.txt test set scores: opus-2020-06-17.eval.txt | testset | BLEU | chr-F | |-----------------------|-------|-------| | Tatoeba-test.eus.spa | 48.8 | 0.673 | - opusreadmeurl: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eus-spa/README.md - prepro: normalization + SentencePiece (spm32k,spm32k) - urlmodel: https://object.pouta.csc.fi/Tatoeba-MT-models/eus-spa/opus-2020-06-17.zip - urltestset: https://object.pouta.csc.fi/Tatoeba-MT-models/eus-spa/opus-2020-06-17.test.txt - helsinkigitsha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformersgitsha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
opus-mt-it-es
source languages: it target languages: es OPUS readme: it-es dataset: opus model: transformer-align pre-processing: normalization + SentencePiece download original weights: opus-2020-01-26.zip test set translations: opus-2020-01-26.test.txt test set scores: opus-2020-01-26.eval.txt | testset | BLEU | chr-F | |-----------------------|-------|-------| | Tatoeba.it.es | 61.2 | 0.761 |
opus-mt-en-bnt
source group: English target group: Bantu languages OPUS readme: eng-bnt model: transformer source language(s): eng target language(s): kin lin lug nya run sna swh toiLatn tso umb xho zul model: transformer pre-processing: normalization + SentencePiece (spm32k,spm32k) a sentence initial language token is required in the form of `>>id<<` (id = valid target language ID) download original weights: opus-2020-07-26.zip test set translations: opus-2020-07-26.test.txt test set scores: opus-2020-07-26.eval.txt | testset | BLEU | chr-F | |-----------------------|-------|-------| | Tatoeba-test.eng-kin.eng.kin | 12.5 | 0.519 | | Tatoeba-test.eng-lin.eng.lin | 1.1 | 0.277 | | Tatoeba-test.eng-lug.eng.lug | 4.8 | 0.415 | | Tatoeba-test.eng.multi | 12.1 | 0.449 | | Tatoeba-test.eng-nya.eng.nya | 22.1 | 0.616 | | Tatoeba-test.eng-run.eng.run | 13.2 | 0.492 | | Tatoeba-test.eng-sna.eng.sna | 32.1 | 0.669 | | Tatoeba-test.eng-swa.eng.swa | 1.7 | 0.180 | | Tatoeba-test.eng-toi.eng.toi | 10.7 | 0.266 | | Tatoeba-test.eng-tso.eng.tso | 26.9 | 0.631 | | Tatoeba-test.eng-umb.eng.umb | 5.2 | 0.295 | | Tatoeba-test.eng-xho.eng.xho | 22.6 | 0.615 | | Tatoeba-test.eng-zul.eng.zul | 41.1 | 0.769 | - opusreadmeurl: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-bnt/README.md - languages: ['en', 'sn', 'zu', 'rw', 'lg', 'ts', 'ln', 'ny', 'xh', 'rn', 'bnt'] - tgtconstituents: {'sna', 'zul', 'kin', 'lug', 'tso', 'lin', 'nya', 'xho', 'swh', 'run', 'toiLatn', 'umb'} - prepro: normalization + SentencePiece (spm32k,spm32k) - urlmodel: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-bnt/opus-2020-07-26.zip - urltestset: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-bnt/opus-2020-07-26.test.txt - helsinkigitsha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformersgitsha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
opus-mt-hi-en
source languages: hi target languages: en OPUS readme: hi-en dataset: opus model: transformer-align pre-processing: normalization + SentencePiece download original weights: opus-2019-12-18.zip test set translations: opus-2019-12-18.test.txt test set scores: opus-2019-12-18.eval.txt | testset | BLEU | chr-F | |-----------------------|-------|-------| | newsdev2014.hi.en | 9.1 | 0.357 | | newstest2014-hien.hi.en | 13.6 | 0.409 | | Tatoeba.hi.en | 40.4 | 0.580 |
opus-mt-da-en
opus-mt-tc-big-en-pt
Neural machine translation model for translating from English (en) to Portuguese (pt). This model is part of the OPUS-MT project, an effort to make neural machine translation models widely available and accessible for many languages in the world. All models are originally trained using the amazing framework of Marian NMT, an efficient NMT implementation written in pure C++. The models have been converted to pyTorch using the transformers library by huggingface. Training data is taken from OPUS and training pipelines use the procedures of OPUS-MT-train. Publications: OPUS-MT – Building open translation services for the World and The Tatoeba Translation Challenge – Realistic Data Sets for Low Resource and Multilingual MT (Please, cite if you use this model.) Release: 2022-03-13 source language(s): eng target language(s): pob por valid target language labels: >>pob >por >id >pob >por >por >por<< Tom tried to stab me.")) test set translations: opusTCv20210807+bttransformer-big2022-03-13.test.txt test set scores: opusTCv20210807+bttransformer-big2022-03-13.eval.txt benchmark results: benchmarkresults.txt benchmark output: benchmarktranslations.zip | langpair | testset | chr-F | BLEU | #sent | #words | |----------|---------|-------|-------|-------|--------| | eng-por | tatoeba-test-v2021-08-07 | 0.69320 | 49.6 | 13222 | 105265 | | eng-por | flores101-devtest | 0.71673 | 50.4 | 1012 | 26519 | The work is supported by the European Language Grid as pilot project 2866, by the FoTran project, funded by the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (grant agreement No 771113), and the MeMAD project, funded by the European Union’s Horizon 2020 Research and Innovation Programme under grant agreement No 780069. We are also grateful for the generous computational resources and IT infrastructure provided by CSC -- IT Center for Science, Finland. transformers version: 4.16.2 OPUS-MT git hash: 3405783 port time: Wed Apr 13 17:48:54 EEST 2022 port machine: LM0-400-22516.local
opus-mt-en-uk
opus-mt-en-it
opus-mt-en-nl
opus-mt-en-hu
opus-mt-fi-en
opus-mt-fr-de
opus-mt-gem-gem
opus-mt-en-jap
opus-mt-en-sv
opus-mt-en-vi
opus-mt-tc-big-ar-en
opus-mt-sv-en
opus-mt-da-de
opus-mt-gmw-gmw
opus-mt-no-de
opus-mt-fi-de
opus-mt-id-en
opus-mt-nl-fr
opus-mt-vi-en
opus-mt-jap-en
source languages: jap target languages: en OPUS readme: jap-en dataset: opus model: transformer-align pre-processing: normalization + SentencePiece download original weights: opus-2020-01-09.zip test set translations: opus-2020-01-09.test.txt test set scores: opus-2020-01-09.eval.txt | testset | BLEU | chr-F | |-----------------------|-------|-------| | bible-uedin.jap.en | 52.6 | 0.703 |
opus-mt-tc-big-sh-en
opus-tatoeba-en-ja
opus-mt-bg-en
opus-mt-de-nl
opus-mt-th-en
opus-mt-tc-big-el-en
opus-mt-ur-en
opus-mt-tc-big-he-en
opus-mt-en-mul
opus-mt-uk-en
opus-mt-tl-en
opus-mt-zh-vi
opus-mt-en-gmq
opus-mt-en-da
opus-mt-hu-en
opus-mt-roa-en
opus-mt-en-ROMANCE
opus-mt-tc-bible-big-roa-en
opus-mt-en-fi
opus-mt-en-ro
opus-mt-bn-en
opus-mt-en-ur
opus-mt-tr-ar
opus-mt-cs-en
opus-mt-en-he
opus-mt-en-el
opus-mt-ja-hu
source group: Japanese target group: Hungarian OPUS readme: jpn-hun model: transformer-align source language(s): jpnBopo jpnHani jpnHira jpnKana jpnYiii target language(s): hun model: transformer-align pre-processing: normalization + SentencePiece (spm32k,spm32k) download original weights: opus-2020-06-17.zip test set translations: opus-2020-06-17.test.txt test set scores: opus-2020-06-17.eval.txt | testset | BLEU | chr-F | |-----------------------|-------|-------| | Tatoeba-test.jpn.hun | 12.2 | 0.364 | - opusreadmeurl: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/jpn-hun/README.md - srcconstituents: {'jpnHang', 'jpn', 'jpnYiii', 'jpnKana', 'jpnHani', 'jpnBopo', 'jpnLatn', 'jpnHira'} - prepro: normalization + SentencePiece (spm32k,spm32k) - urlmodel: https://object.pouta.csc.fi/Tatoeba-MT-models/jpn-hun/opus-2020-06-17.zip - urltestset: https://object.pouta.csc.fi/Tatoeba-MT-models/jpn-hun/opus-2020-06-17.test.txt - helsinkigitsha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformersgitsha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
opus-mt-es-fr
opus-mt-en-sk
opus-mt-de-fr
opus-mt-tc-base-en-sh
opus-mt-yo-en
opus-mt-ig-en
opus-mt-sk-en
opus-mt-ca-en
opus-mt-tc-big-en-ar
opus-mt-de-es
opus-mt-tc-big-en-ko
opus-mt-de-pl
opus-mt-en-hy
opus-mt-tc-big-fr-en
opus-mt-en-roa
opus-mt-de-fi
opus-mt-en-mr
opus-mt-it-fr
opus-mt-tc-big-en-fr
opus-mt-tc-big-en-es
opus-mt-ar-es
opus-tatoeba-en-tr
opus-mt-en-ml
opus-mt-en-cs
opus-mt-tc-big-zle-de
opus-mt-tc-bible-big-mul-mul
opus-mt-mr-en
opus-mt-de-it
opus-mt-et-en
opus-mt-fr-ru
opus-mt-ru-fr
opus-mt-es-de
opus-mt-it-de
opus-mt-tc-bible-big-deu_eng_fra_por_spa-mul
opus-mt-pl-de
opus-mt-gmq-en
opus-mt-tc-big-fi-en
opus-mt-ar-fr
opus-mt-en-bg
opus-mt-es-ru
opus-mt-lv-en
opus-mt-de-cs
opus-mt-ml-en
opus-mt-de-hu
opus-mt-en-af
opus-mt-en-trk
opus-mt-af-en
opus-mt-ja-es
opus-mt-he-ar
opus-mt-cs-de
opus-mt-is-en
opus-mt-tc-big-en-fi
opus-mt-en-sq
opus-mt-ha-en
opus-mt-en-tl
opus-mt-en-ha
Opus Mt En Ig
source languages: en target languages: ig OPUS readme: en-ig dataset: opus model: transformer-align pre-processing: normalization + SentencePiece download original weights: opus-2020-01-08.zip test set translations: opus-2020-01-08.test.txt test set scores: opus-2020-01-08.eval.txt | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.en.ig | 39.5 | 0.546 | | Tatoeba.en.ig | 3.8 | 0.297 |