opus-2020-10-04.zip dataset: opus model: transformer source language(s): eng gcf_Latn hat mfe target language(s): eng gcf_Latn hat mfe 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) download: opus-2020-10-04.zip test set translations: opus-2020-10-04.test.txt test set scores: opus-2020-10-04.eval.txt Benchmarks testset BLEU chr-F Tatoeba-test.eng-gcf.eng.gcf 5.3 0.231 Tatoeba-test.eng-hat.eng.hat 27.3 0.503 Tatoeba-test.eng-mfe.eng.mfe 83.6 0.903 Tatoeba-test.gcf-eng.gcf.eng 10.8 0.243 Tatoeba-test.hat-eng.hat.eng 33.4 0.485 Tatoeba-test.mfe-eng.mfe.eng 58.7 0.772 Tatoeba-test.multi.multi 18.5 0.358