eng vie source group: English target group: Vietnamese OPUS readme: eng vie model: transformer align source language(s): eng target language(s): vie vie Hani model: transformer align pre processing: normalization + SentencePiece (spm32k,spm32k) 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 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.eng.vie 37.2 0.542 System Info: hf name: eng vie source languages: eng target languages: vie opus readme url: https://github.com/Helsinki NLP/Tatoeba Challenge/tree/master/models/eng vie/README.md original repo: Tatoeba Challenge tags: ['translation'] languages: ['en', 'vi'] src constituents: {'eng'} tgt constituents: {'vie', 'vie Hani'} src multilingual: False tgt multilingual: False prepro: normalization + SentencePiece (spm32k,spm32k) url model: https://object.pouta.csc.fi/Tatoeba MT models/eng vie/opus 2020 06 17.zip url test set: https://object.pouta.csc.fi/Tatoeba MT models/eng vie/opus 2020 06 17.test.txt src alpha3: eng tgt alpha3: vie short pair: en vi chrF2 s…
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