jpn-msa
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source group: Japanese
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target group: Malay (macrolanguage)
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OPUS readme: jpn-msa
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model: transformer-align
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source language(s): jpn jpn_Hani jpn_Hira jpn_Kana
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target language(s): ind zlm_Latn zsm_Latn
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model: transformer-align
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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-2020-06-17.zip
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test set translations: opus-2020-06-17.test.txt
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test set scores: opus-2020-06-17.eval.txt
Benchmarks
| testset | BLEU | chr-F |
|---|---|---|
| Tatoeba-test.jpn.msa | 21.5 | 0.469 |
System Info:
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hf_name: jpn-msa
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source_languages: jpn
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target_languages: msa
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opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/jpn-msa/README.md
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original_repo: Tatoeba-Challenge
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tags: ['translation']
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languages: ['ja', 'ms']
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src_constituents: {'jpn_Hang', 'jpn', 'jpn_Yiii', 'jpn_Kana', 'jpn_Hani', 'jpn_Bopo', 'jpn_Latn', 'jpn_Hira'}
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tgt_constituents: {'zsm_Latn', 'ind', 'max_Latn', 'zlm_Latn', 'min'}
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src_multilingual: False
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tgt_multilingual: False
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prepro: normalization + SentencePiece (spm32k,spm32k)
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url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/jpn-msa/opus-2020-06-17.zip
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url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/jpn-msa/opus-2020-06-17.test.txt
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src_alpha3: jpn
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tgt_alpha3: msa
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short_pair: ja-ms
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chrF2_score: 0.469
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bleu: 21.5
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brevity_penalty: 0.9259999999999999
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ref_len: 17028.0
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src_name: Japanese
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tgt_name: Malay (macrolanguage)
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train_date: 2020-06-17
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src_alpha2: ja
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tgt_alpha2: ms
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prefer_old: False
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long_pair: jpn-msa
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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