Helsinki-NLP

Helsinki-NLP/opus-mt-en-zlw

- en - pl - cs - zlw...

Model Documentation

eng-zlw



* source group: English * target group: West Slavic languages * OPUS readme: eng-zlw

* model: transformer * source language(s): eng * target language(s): ces csb_Latn dsb hsb pol * 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-2020-08-02.zip * test set translations: opus2m-2020-08-02.test.txt * test set scores: opus2m-2020-08-02.eval.txt

Benchmarks



| testset | BLEU | chr-F | |-----------------------|-------|-------| | newssyscomb2009-engces.eng.ces | 20.6 | 0.488 | | news-test2008-engces.eng.ces | 18.3 | 0.466 | | newstest2009-engces.eng.ces | 19.8 | 0.483 | | newstest2010-engces.eng.ces | 19.8 | 0.486 | | newstest2011-engces.eng.ces | 20.6 | 0.489 | | newstest2012-engces.eng.ces | 18.6 | 0.464 | | newstest2013-engces.eng.ces | 22.3 | 0.495 | | newstest2015-encs-engces.eng.ces | 21.7 | 0.502 | | newstest2016-encs-engces.eng.ces | 24.5 | 0.521 | | newstest2017-encs-engces.eng.ces | 20.1 | 0.480 | | newstest2018-encs-engces.eng.ces | 19.9 | 0.483 | | newstest2019-encs-engces.eng.ces | 21.2 | 0.490 | | Tatoeba-test.eng-ces.eng.ces | 43.7 | 0.632 | | Tatoeba-test.eng-csb.eng.csb | 1.2 | 0.188 | | Tatoeba-test.eng-dsb.eng.dsb | 1.5 | 0.167 | | Tatoeba-test.eng-hsb.eng.hsb | 5.7 | 0.199 | | Tatoeba-test.eng.multi | 42.8 | 0.632 | | Tatoeba-test.eng-pol.eng.pol | 43.2 | 0.641 |

System Info:

  • hf_name: eng-zlw


  • source_languages: eng


  • target_languages: zlw


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


  • original_repo: Tatoeba-Challenge


  • tags: ['translation']


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


  • src_constituents: {'eng'}


  • tgt_constituents: {'csb_Latn', 'dsb', 'hsb', 'pol', 'ces'}


  • src_multilingual: False


  • tgt_multilingual: True


  • prepro: normalization + SentencePiece (spm32k,spm32k)


  • url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-zlw/opus2m-2020-08-02.zip


  • url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-zlw/opus2m-2020-08-02.test.txt


  • src_alpha3: eng


  • tgt_alpha3: zlw


  • short_pair: en-zlw


  • chrF2_score: 0.632


  • bleu: 42.8


  • brevity_penalty: 0.973


  • ref_len: 65397.0


  • src_name: English


  • tgt_name: West Slavic languages


  • train_date: 2020-08-02


  • src_alpha2: en


  • tgt_alpha2: zlw


  • prefer_old: False


  • long_pair: eng-zlw


  • helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535


  • transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b


  • port_machine: brutasse


  • port_time: 2020-08-21-14:41
  • Files & Weights

    FilenameSizeAction
    pytorch_model.bin 0.28 GB Download