vie eng source group: Vietnamese target group: English OPUS readme: vie eng model: transformer align source language(s): vie vie Hani target language(s): eng model: transformer align pre processing: normalization + SentencePiece (spm32k,spm32k) download original weights: opus 2020 06 17.zip test set translations: opus 2020 06 17.test.txt test set scores: opus 2020 06 17.eval.txt Benchmarks testset BLEU chr F Tatoeba test.vie.eng 42.8 0.608 System Info: hf name: vie eng source languages: vie target languages: eng opus readme url: https://github.com/Helsinki NLP/Tatoeba Challenge/tree/master/models/vie eng/README.md original repo: Tatoeba Challenge tags: ['translation'] languages: ['vi', 'en'] src constituents: {'vie', 'vie Hani'} tgt constituents: {'eng'} src multilingual: False tgt multilingual: False prepro: normalization + SentencePiece (spm32k,spm32k) url model: https://object.pouta.csc.fi/Tatoeba MT models/vie eng/opus 2020 06 17.zip url test set: https://object.pouta.csc.fi/Tatoeba MT models/vie eng/opus 2020 06 17.test.txt src alpha3: vie tgt alpha3: eng short pair: vi en chrF2 score: 0.608 bleu: 42.8 brevity penalty: 0.955 ref len: 20241.0 src name: Vietnamese tgt name: Engl…
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