opus-2020-06-16.zip dataset: opus model: transformer-align source language(s): epo target language(s): por model: transformer-align pre-processing: normalization + SentencePiece (spm4k,spm4k) download: opus-2020-06-16.zip test set translations: opus-2020-06-16.test.txt test set scores: opus-2020-06-16.eval.txt Benchmarks testset BLEU chr-F Tatoeba-test.epo.por 20.2 0.438 opus-2021-02-24.zip dataset: opus model: transformer source language(s): epo target language(s): pob por model: transformer pre-processing: normalization + SentencePiece (spm4k,spm4k) a sentence initial language token is required in the form of >>id<< (id = valid target language ID) valid language labels: >>por<< >>pob<< 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.epo-por 20.6 0.437 10000 89991 0.883