eng-sla
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source group: English
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target group: Slavic languages
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OPUS readme: eng-sla
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model: transformer
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source language(s): eng
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target language(s): bel bel_Latn bos_Latn bul bul_Latn ces csb_Latn dsb hrv hsb mkd orv_Cyrl pol rue rus slv srp_Cyrl srp_Latn ukr
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model: transformer
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pre-processing: normalization + SentencePiece (spm32k,spm32k)
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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
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test set translations: opus2m-2020-08-01.test.txt
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test set scores: opus2m-2020-08-01.eval.txt
Benchmarks
testset | BLEU | chr-F |
---|---|---|
newssyscomb2009-engces.eng.ces | 20.1 | 0.484 |
news-test2008-engces.eng.ces | 17.7 | 0.461 |
newstest2009-engces.eng.ces | 19.1 | 0.479 |
newstest2010-engces.eng.ces | 19.3 | 0.483 |
newstest2011-engces.eng.ces | 20.4 | 0.486 |
newstest2012-engces.eng.ces | 18.3 | 0.461 |
newstest2012-engrus.eng.rus | 27.4 | 0.551 |
newstest2013-engces.eng.ces | 21.5 | 0.489 |
newstest2013-engrus.eng.rus | 20.9 | 0.490 |
newstest2015-encs-engces.eng.ces | 21.1 | 0.496 |
newstest2015-enru-engrus.eng.rus | 24.5 | 0.536 |
newstest2016-encs-engces.eng.ces | 23.6 | 0.515 |
newstest2016-enru-engrus.eng.rus | 23.0 | 0.519 |
newstest2017-encs-engces.eng.ces | 19.2 | 0.474 |
newstest2017-enru-engrus.eng.rus | 25.0 | 0.541 |
newstest2018-encs-engces.eng.ces | 19.3 | 0.479 |
newstest2018-enru-engrus.eng.rus | 22.3 | 0.526 |
newstest2019-encs-engces.eng.ces | 20.4 | 0.486 |
newstest2019-enru-engrus.eng.rus | 24.0 | 0.506 |
Tatoeba-test.eng-bel.eng.bel | 22.9 | 0.489 |
Tatoeba-test.eng-bul.eng.bul | 46.7 | 0.652 |
Tatoeba-test.eng-ces.eng.ces | 42.7 | 0.624 |
Tatoeba-test.eng-csb.eng.csb | 1.4 | 0.210 |
Tatoeba-test.eng-dsb.eng.dsb | 1.4 | 0.165 |
Tatoeba-test.eng-hbs.eng.hbs | 40.3 | 0.616 |
Tatoeba-test.eng-hsb.eng.hsb | 14.3 | 0.344 |
Tatoeba-test.eng-mkd.eng.mkd | 44.1 | 0.635 |
Tatoeba-test.eng.multi | 41.0 | 0.610 |
Tatoeba-test.eng-orv.eng.orv | 0.3 | 0.014 |
Tatoeba-test.eng-pol.eng.pol | 42.0 | 0.637 |
Tatoeba-test.eng-rue.eng.rue | 0.3 | 0.012 |
Tatoeba-test.eng-rus.eng.rus | 40.5 | 0.612 |
Tatoeba-test.eng-slv.eng.slv | 18.8 | 0.357 |
Tatoeba-test.eng-ukr.eng.ukr | 38.8 | 0.600 |
System Info:
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hf_name: eng-sla
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source_languages: eng
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target_languages: sla
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opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-sla/README.md
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original_repo: Tatoeba-Challenge
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tags: ['translation']
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languages: ['en', 'be', 'hr', 'mk', 'cs', 'ru', 'pl', 'bg', 'uk', 'sl', 'sla']
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src_constituents: {'eng'}
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tgt_constituents: {'bel', 'hrv', 'orv_Cyrl', 'mkd', 'bel_Latn', 'srp_Latn', 'bul_Latn', 'ces', 'bos_Latn', 'csb_Latn', 'dsb', 'hsb', 'rus', 'srp_Cyrl', 'pol', 'rue', 'bul', 'ukr', 'slv'}
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src_multilingual: False
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tgt_multilingual: True
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prepro: normalization + SentencePiece (spm32k,spm32k)
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url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-sla/opus2m-2020-08-01.zip
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url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-sla/opus2m-2020-08-01.test.txt
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src_alpha3: eng
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tgt_alpha3: sla
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short_pair: en-sla
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chrF2_score: 0.61
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bleu: 41.0
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brevity_penalty: 0.976
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ref_len: 64809.0
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src_name: English
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tgt_name: Slavic languages
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train_date: 2020-08-01
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src_alpha2: en
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tgt_alpha2: sla
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prefer_old: False
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long_pair: eng-sla
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helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
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transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
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port_machine: brutasse
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port_time: 2020-08-21-14:41