opus1m+bt-2021-04-10.zip dataset: opus1m+bt model: transformer-align source language(s): eng target language(s): hye 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) valid language labels: >>axm<< >>hye<< >>hye_Latn<< >>hyw<< >>xcl<< download: opus1m+bt-2021-04-10.zip test set translations: opus1m+bt-2021-04-10.test.txt test set scores: opus1m+bt-2021-04-10.eval.txt Benchmarks testset BLEU chr-F #sent #words BP Tatoeba-test.eng-hye 16.4 0.400 1121 5114 1.000 Tatoeba-test.eng-multi 16.6 0.402 1121 5115 1.000 opus4m+btTCv20210807-2021-09-30.zip dataset: opus4m+btTCv20210807 model: transformer source language(s): eng target language(s): hye hyw xcl 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: >>axm<< >>hye<< >>hye_Latn<< >>hyw<< >>xcl<< download: opus4m+btTCv20210807-2021-09-30.zip test set translations: opus4m+btTCv20210807-2021-09-30.test.txt test set scores: opus4m+btTCv20210807-2021-09-30.eval.txt Benchmarks testset BLEU chr-F #sent #words BP Tatoeba-test-v2021-08-07.eng-multi 18.8 0.404 1121 5115 1.000 Tatoeba-test-v2021-08-07.multi-multi 18.8 0.404 1121 5115 1.000