eng-aav
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source group: English
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target group: Austro-Asiatic languages
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OPUS readme: eng-aav
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model: transformer
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source language(s): eng
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target language(s): hoc hoc_Latn kha khm khm_Latn mnw vie vie_Hani
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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: opus-2020-07-26.zip
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test set translations: opus-2020-07-26.test.txt
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test set scores: opus-2020-07-26.eval.txt
Benchmarks
testset | BLEU | chr-F |
---|---|---|
Tatoeba-test.eng-hoc.eng.hoc | 0.1 | 0.033 |
Tatoeba-test.eng-kha.eng.kha | 0.4 | 0.043 |
Tatoeba-test.eng-khm.eng.khm | 0.2 | 0.242 |
Tatoeba-test.eng-mnw.eng.mnw | 0.8 | 0.003 |
Tatoeba-test.eng.multi | 16.1 | 0.311 |
Tatoeba-test.eng-vie.eng.vie | 33.2 | 0.508 |
System Info:
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hf_name: eng-aav
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source_languages: eng
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target_languages: aav
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opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-aav/README.md
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original_repo: Tatoeba-Challenge
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tags: ['translation']
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languages: ['en', 'vi', 'km', 'aav']
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src_constituents: {'eng'}
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tgt_constituents: {'mnw', 'vie', 'kha', 'khm', 'vie_Hani', 'khm_Latn', 'hoc_Latn', 'hoc'}
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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-aav/opus-2020-07-26.zip
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url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-aav/opus-2020-07-26.test.txt
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src_alpha3: eng
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tgt_alpha3: aav
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short_pair: en-aav
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chrF2_score: 0.311
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bleu: 16.1
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brevity_penalty: 1.0
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ref_len: 38261.0
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src_name: English
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tgt_name: Austro-Asiatic languages
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train_date: 2020-07-26
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src_alpha2: en
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tgt_alpha2: aav
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prefer_old: False
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long_pair: eng-aav
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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