kor eng source group: Korean target group: English OPUS readme: kor eng model: transformer align source language(s): kor kor Hang kor Latn 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.kor.eng 41.3 0.588 System Info: hf name: kor eng source languages: kor target languages: eng opus readme url: https://github.com/Helsinki NLP/Tatoeba Challenge/tree/master/models/kor eng/README.md original repo: Tatoeba Challenge tags: ['translation'] languages: ['ko', 'en'] src constituents: {'kor Hani', 'kor Hang', 'kor Latn', 'kor'} tgt constituents: {'eng'} src multilingual: False tgt multilingual: False prepro: normalization + SentencePiece (spm32k,spm32k) url model: https://object.pouta.csc.fi/Tatoeba MT models/kor eng/opus 2020 06 17.zip url test set: https://object.pouta.csc.fi/Tatoeba MT models/kor eng/opus 2020 06 17.test.txt src alpha3: kor tgt alpha3: eng short pair: ko en chrF2 score: 0.588 bleu: 41.3 brevity penalty: 0.9590000000000001 ref len: 1…
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