opus-2020-06-17.zip dataset: opus model: transformer-align source language(s): ukr target language(s): nob model: transformer-align pre-processing: normalization + SentencePiece (spm4k,spm4k) download: 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.ukr.nor 21.3 0.397 opus-2021-02-24.zip dataset: opus model: transformer source language(s): ukr target language(s): nno nob model: transformer pre-processing: normalization + SentencePiece (spm32k,spm32k) a sentence initial language token is required in the form of >>id<< (id = valid target language ID) valid language labels: >>nob<< >>nno<< download: opus-2021-02-24.zip test set translations: opus-2021-02-24.test.txt test set scores: opus-2021-02-24.eval.txt Benchmarks testset BLEU chr-F #sent #words BP Tatoeba-test.ukr-nor 55.0 0.699 670 4378 0.985