eng-sem
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source group: English
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target group: Semitic languages
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OPUS readme: eng-sem
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model: transformer
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source language(s): eng
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target language(s): acm afb amh apc ara arq ary arz heb mlt tir
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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 |
---|---|---|
Tatoeba-test.eng-amh.eng.amh | 11.2 | 0.480 |
Tatoeba-test.eng-ara.eng.ara | 12.7 | 0.417 |
Tatoeba-test.eng-heb.eng.heb | 33.8 | 0.564 |
Tatoeba-test.eng-mlt.eng.mlt | 18.7 | 0.554 |
Tatoeba-test.eng.multi | 23.5 | 0.486 |
Tatoeba-test.eng-tir.eng.tir | 2.7 | 0.248 |
System Info:
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hf_name: eng-sem
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source_languages: eng
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target_languages: sem
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opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-sem/README.md
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original_repo: Tatoeba-Challenge
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tags: ['translation']
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languages: ['en', 'mt', 'ar', 'he', 'ti', 'am', 'sem']
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src_constituents: {'eng'}
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tgt_constituents: {'apc', 'mlt', 'arz', 'ara', 'heb', 'tir', 'arq', 'afb', 'amh', 'acm', 'ary'}
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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-sem/opus2m-2020-08-01.zip
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url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-sem/opus2m-2020-08-01.test.txt
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src_alpha3: eng
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tgt_alpha3: sem
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short_pair: en-sem
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chrF2_score: 0.486
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bleu: 23.5
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brevity_penalty: 1.0
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ref_len: 59258.0
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src_name: English
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tgt_name: Semitic languages
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train_date: 2020-08-01
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src_alpha2: en
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tgt_alpha2: sem
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prefer_old: False
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long_pair: eng-sem
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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