--- library_name: transformers language: - anp - as - awa - bho - bn - bpy - de - dv - en - es - fr - gbm - gu - hi - hif - hne - hns - kok - ks - lah - mag - mai - mr - ne - or - pa - pi - pt - rhg - rmy - rom - sa - sd - si - skr - syl - ur tags: - translation - opus-mt-tc-bible license: apache-2.0 model-index: - name: opus-mt-tc-bible-big-inc-deu_eng_fra_por_spa results: - task: name: Translation asm-eng type: translation args: asm-eng dataset: name: flores200-devtest type: flores200-devtest args: asm-eng metrics: - name: BLEU type: bleu value: 21.9 - name: chr-F type: chrf value: 0.48584 - task: name: Translation asm-por type: translation args: asm-por dataset: name: flores200-devtest type: flores200-devtest args: asm-por metrics: - name: BLEU type: bleu value: 10.1 - name: chr-F type: chrf value: 0.35028 - task: name: Translation awa-deu type: translation args: awa-deu dataset: name: flores200-devtest type: flores200-devtest args: awa-deu metrics: - name: BLEU type: bleu value: 16.5 - name: chr-F type: chrf value: 0.47173 - task: name: Translation awa-eng type: translation args: awa-eng dataset: name: flores200-devtest type: flores200-devtest args: awa-eng metrics: - name: BLEU type: bleu value: 24.5 - name: chr-F type: chrf value: 0.50582 - task: name: Translation awa-fra type: translation args: awa-fra dataset: name: flores200-devtest type: flores200-devtest args: awa-fra metrics: - name: BLEU type: bleu value: 21.4 - name: chr-F type: chrf value: 0.49682 - task: name: Translation awa-por type: translation args: awa-por dataset: name: flores200-devtest type: flores200-devtest args: awa-por metrics: - name: BLEU type: bleu value: 21.5 - name: chr-F type: chrf value: 0.49663 - task: name: Translation awa-spa type: translation args: awa-spa dataset: name: flores200-devtest type: flores200-devtest args: awa-spa metrics: - name: BLEU type: bleu value: 15.1 - name: chr-F type: chrf value: 0.43740 - task: name: Translation ben-deu type: translation args: ben-deu dataset: name: flores200-devtest type: flores200-devtest args: ben-deu metrics: - name: BLEU type: bleu value: 16.6 - name: chr-F type: chrf value: 0.47330 - task: name: Translation ben-eng type: translation args: ben-eng dataset: name: flores200-devtest type: flores200-devtest args: ben-eng metrics: - name: BLEU type: bleu value: 30.5 - name: chr-F type: chrf value: 0.58077 - task: name: Translation ben-fra type: translation args: ben-fra dataset: name: flores200-devtest type: flores200-devtest args: ben-fra metrics: - name: BLEU type: bleu value: 22.6 - name: chr-F type: chrf value: 0.50884 - task: name: Translation ben-por type: translation args: ben-por dataset: name: flores200-devtest type: flores200-devtest args: ben-por metrics: - name: BLEU type: bleu value: 21.4 - name: chr-F type: chrf value: 0.50054 - task: name: Translation ben-spa type: translation args: ben-spa dataset: name: flores200-devtest type: flores200-devtest args: ben-spa metrics: - name: BLEU type: bleu value: 15.2 - name: chr-F type: chrf value: 0.44159 - task: name: Translation bho-deu type: translation args: bho-deu dataset: name: flores200-devtest type: flores200-devtest args: bho-deu metrics: - name: BLEU type: bleu value: 12.6 - name: chr-F type: chrf value: 0.42660 - task: name: Translation bho-eng type: translation args: bho-eng dataset: name: flores200-devtest type: flores200-devtest args: bho-eng metrics: - name: BLEU type: bleu value: 22.7 - name: chr-F type: chrf value: 0.50609 - task: name: Translation bho-fra type: translation args: bho-fra dataset: name: flores200-devtest type: flores200-devtest args: bho-fra metrics: - name: BLEU type: bleu value: 16.8 - name: chr-F type: chrf value: 0.44889 - task: name: Translation bho-por type: translation args: bho-por dataset: name: flores200-devtest type: flores200-devtest args: bho-por metrics: - name: BLEU type: bleu value: 16.9 - name: chr-F type: chrf value: 0.44582 - task: name: Translation bho-spa type: translation args: bho-spa dataset: name: flores200-devtest type: flores200-devtest args: bho-spa metrics: - name: BLEU type: bleu value: 13.1 - name: chr-F type: chrf value: 0.40581 - task: name: Translation guj-deu type: translation args: guj-deu dataset: name: flores200-devtest type: flores200-devtest args: guj-deu metrics: - name: BLEU type: bleu value: 16.8 - name: chr-F type: chrf value: 0.46665 - task: name: Translation guj-eng type: translation args: guj-eng dataset: name: flores200-devtest type: flores200-devtest args: guj-eng metrics: - name: BLEU type: bleu value: 34.3 - name: chr-F type: chrf value: 0.61383 - task: name: Translation guj-fra type: translation args: guj-fra dataset: name: flores200-devtest type: flores200-devtest args: guj-fra metrics: - name: BLEU type: bleu value: 22.3 - name: chr-F type: chrf value: 0.50410 - task: name: Translation guj-por type: translation args: guj-por dataset: name: flores200-devtest type: flores200-devtest args: guj-por metrics: - name: BLEU type: bleu value: 21.3 - name: chr-F type: chrf value: 0.49257 - task: name: Translation guj-spa type: translation args: guj-spa dataset: name: flores200-devtest type: flores200-devtest args: guj-spa metrics: - name: BLEU type: bleu value: 15.6 - name: chr-F type: chrf value: 0.44565 - task: name: Translation hin-deu type: translation args: hin-deu dataset: name: flores200-devtest type: flores200-devtest args: hin-deu metrics: - name: BLEU type: bleu value: 20.4 - name: chr-F type: chrf value: 0.50226 - task: name: Translation hin-eng type: translation args: hin-eng dataset: name: flores200-devtest type: flores200-devtest args: hin-eng metrics: - name: BLEU type: bleu value: 37.3 - name: chr-F type: chrf value: 0.63336 - task: name: Translation hin-fra type: translation args: hin-fra dataset: name: flores200-devtest type: flores200-devtest args: hin-fra metrics: - name: BLEU type: bleu value: 25.9 - name: chr-F type: chrf value: 0.53701 - task: name: Translation hin-por type: translation args: hin-por dataset: name: flores200-devtest type: flores200-devtest args: hin-por metrics: - name: BLEU type: bleu value: 25.5 - name: chr-F type: chrf value: 0.53448 - task: name: Translation hin-spa type: translation args: hin-spa dataset: name: flores200-devtest type: flores200-devtest args: hin-spa metrics: - name: BLEU type: bleu value: 17.2 - name: chr-F type: chrf value: 0.46171 - task: name: Translation hne-deu type: translation args: hne-deu dataset: name: flores200-devtest type: flores200-devtest args: hne-deu metrics: - name: BLEU type: bleu value: 19.0 - name: chr-F type: chrf value: 0.49698 - task: name: Translation hne-eng type: translation args: hne-eng dataset: name: flores200-devtest type: flores200-devtest args: hne-eng metrics: - name: BLEU type: bleu value: 38.5 - name: chr-F type: chrf value: 0.63936 - task: name: Translation hne-fra type: translation args: hne-fra dataset: name: flores200-devtest type: flores200-devtest args: hne-fra metrics: - name: BLEU type: bleu value: 25.3 - name: chr-F type: chrf value: 0.52835 - task: name: Translation hne-por type: translation args: hne-por dataset: name: flores200-devtest type: flores200-devtest args: hne-por metrics: - name: BLEU type: bleu value: 25.0 - name: chr-F type: chrf value: 0.52788 - task: name: Translation hne-spa type: translation args: hne-spa dataset: name: flores200-devtest type: flores200-devtest args: hne-spa metrics: - name: BLEU type: bleu value: 16.7 - name: chr-F type: chrf value: 0.45443 - task: name: Translation mag-deu type: translation args: mag-deu dataset: name: flores200-devtest type: flores200-devtest args: mag-deu metrics: - name: BLEU type: bleu value: 19.7 - name: chr-F type: chrf value: 0.50359 - task: name: Translation mag-eng type: translation args: mag-eng dataset: name: flores200-devtest type: flores200-devtest args: mag-eng metrics: - name: BLEU type: bleu value: 38.0 - name: chr-F type: chrf value: 0.63906 - task: name: Translation mag-fra type: translation args: mag-fra dataset: name: flores200-devtest type: flores200-devtest args: mag-fra metrics: - name: BLEU type: bleu value: 25.8 - name: chr-F type: chrf value: 0.53616 - task: name: Translation mag-por type: translation args: mag-por dataset: name: flores200-devtest type: flores200-devtest args: mag-por metrics: - name: BLEU type: bleu value: 25.9 - name: chr-F type: chrf value: 0.53537 - task: name: Translation mag-spa type: translation args: mag-spa dataset: name: flores200-devtest type: flores200-devtest args: mag-spa metrics: - name: BLEU type: bleu value: 16.9 - name: chr-F type: chrf value: 0.45822 - task: name: Translation mai-deu type: translation args: mai-deu dataset: name: flores200-devtest type: flores200-devtest args: mai-deu metrics: - name: BLEU type: bleu value: 16.2 - name: chr-F type: chrf value: 0.46791 - task: name: Translation mai-eng type: translation args: mai-eng dataset: name: flores200-devtest type: flores200-devtest args: mai-eng metrics: - name: BLEU type: bleu value: 30.4 - name: chr-F type: chrf value: 0.57461 - task: name: Translation mai-fra type: translation args: mai-fra dataset: name: flores200-devtest type: flores200-devtest args: mai-fra metrics: - name: BLEU type: bleu value: 22.1 - name: chr-F type: chrf value: 0.50585 - task: name: Translation mai-por type: translation args: mai-por dataset: name: flores200-devtest type: flores200-devtest args: mai-por metrics: - name: BLEU type: bleu value: 22.0 - name: chr-F type: chrf value: 0.50490 - task: name: Translation mai-spa type: translation args: mai-spa dataset: name: flores200-devtest type: flores200-devtest args: mai-spa metrics: - name: BLEU type: bleu value: 15.3 - name: chr-F type: chrf value: 0.44366 - task: name: Translation mar-deu type: translation args: mar-deu dataset: name: flores200-devtest type: flores200-devtest args: mar-deu metrics: - name: BLEU type: bleu value: 14.5 - name: chr-F type: chrf value: 0.44725 - task: name: Translation mar-eng type: translation args: mar-eng dataset: name: flores200-devtest type: flores200-devtest args: mar-eng metrics: - name: BLEU type: bleu value: 31.4 - name: chr-F type: chrf value: 0.58500 - task: name: Translation mar-fra type: translation args: mar-fra dataset: name: flores200-devtest type: flores200-devtest args: mar-fra metrics: - name: BLEU type: bleu value: 19.5 - name: chr-F type: chrf value: 0.47027 - task: name: Translation mar-por type: translation args: mar-por dataset: name: flores200-devtest type: flores200-devtest args: mar-por metrics: - name: BLEU type: bleu value: 19.3 - name: chr-F type: chrf value: 0.47216 - task: name: Translation mar-spa type: translation args: mar-spa dataset: name: flores200-devtest type: flores200-devtest args: mar-spa metrics: - name: BLEU type: bleu value: 14.2 - name: chr-F type: chrf value: 0.42178 - task: name: Translation npi-deu type: translation args: npi-deu dataset: name: flores200-devtest type: flores200-devtest args: npi-deu metrics: - name: BLEU type: bleu value: 16.4 - name: chr-F type: chrf value: 0.46631 - task: name: Translation npi-eng type: translation args: npi-eng dataset: name: flores200-devtest type: flores200-devtest args: npi-eng metrics: - name: BLEU type: bleu value: 32.3 - name: chr-F type: chrf value: 0.59776 - task: name: Translation npi-fra type: translation args: npi-fra dataset: name: flores200-devtest type: flores200-devtest args: npi-fra metrics: - name: BLEU type: bleu value: 22.5 - name: chr-F type: chrf value: 0.50548 - task: name: Translation npi-por type: translation args: npi-por dataset: name: flores200-devtest type: flores200-devtest args: npi-por metrics: - name: BLEU type: bleu value: 21.7 - name: chr-F type: chrf value: 0.50202 - task: name: Translation npi-spa type: translation args: npi-spa dataset: name: flores200-devtest type: flores200-devtest args: npi-spa metrics: - name: BLEU type: bleu value: 15.3 - name: chr-F type: chrf value: 0.43804 - task: name: Translation pan-deu type: translation args: pan-deu dataset: name: flores200-devtest type: flores200-devtest args: pan-deu metrics: - name: BLEU type: bleu value: 18.7 - name: chr-F type: chrf value: 0.48421 - task: name: Translation pan-eng type: translation args: pan-eng dataset: name: flores200-devtest type: flores200-devtest args: pan-eng metrics: - name: BLEU type: bleu value: 33.8 - name: chr-F type: chrf value: 0.60676 - task: name: Translation pan-fra type: translation args: pan-fra dataset: name: flores200-devtest type: flores200-devtest args: pan-fra metrics: - name: BLEU type: bleu value: 23.5 - name: chr-F type: chrf value: 0.51368 - task: name: Translation pan-por type: translation args: pan-por dataset: name: flores200-devtest type: flores200-devtest args: pan-por metrics: - name: BLEU type: bleu value: 22.7 - name: chr-F type: chrf value: 0.50586 - task: name: Translation pan-spa type: translation args: pan-spa dataset: name: flores200-devtest type: flores200-devtest args: pan-spa metrics: - name: BLEU type: bleu value: 16.5 - name: chr-F type: chrf value: 0.44653 - task: name: Translation san-eng type: translation args: san-eng dataset: name: flores200-devtest type: flores200-devtest args: san-eng metrics: - name: BLEU type: bleu value: 11.8 - name: chr-F type: chrf value: 0.36887 - task: name: Translation sin-deu type: translation args: sin-deu dataset: name: flores200-devtest type: flores200-devtest args: sin-deu metrics: - name: BLEU type: bleu value: 14.2 - name: chr-F type: chrf value: 0.44676 - task: name: Translation sin-eng type: translation args: sin-eng dataset: name: flores200-devtest type: flores200-devtest args: sin-eng metrics: - name: BLEU type: bleu value: 26.8 - name: chr-F type: chrf value: 0.54777 - task: name: Translation sin-fra type: translation args: sin-fra dataset: name: flores200-devtest type: flores200-devtest args: sin-fra metrics: - name: BLEU type: bleu value: 19.0 - name: chr-F type: chrf value: 0.47283 - task: name: Translation sin-por type: translation args: sin-por dataset: name: flores200-devtest type: flores200-devtest args: sin-por metrics: - name: BLEU type: bleu value: 18.4 - name: chr-F type: chrf value: 0.46935 - task: name: Translation sin-spa type: translation args: sin-spa dataset: name: flores200-devtest type: flores200-devtest args: sin-spa metrics: - name: BLEU type: bleu value: 13.7 - name: chr-F type: chrf value: 0.42143 - task: name: Translation urd-deu type: translation args: urd-deu dataset: name: flores200-devtest type: flores200-devtest args: urd-deu metrics: - name: BLEU type: bleu value: 17.1 - name: chr-F type: chrf value: 0.46542 - task: name: Translation urd-eng type: translation args: urd-eng dataset: name: flores200-devtest type: flores200-devtest args: urd-eng metrics: - name: BLEU type: bleu value: 29.3 - name: chr-F type: chrf value: 0.56935 - task: name: Translation urd-fra type: translation args: urd-fra dataset: name: flores200-devtest type: flores200-devtest args: urd-fra metrics: - name: BLEU type: bleu value: 22.3 - name: chr-F type: chrf value: 0.50276 - task: name: Translation urd-por type: translation args: urd-por dataset: name: flores200-devtest type: flores200-devtest args: urd-por metrics: - name: BLEU type: bleu value: 20.3 - name: chr-F type: chrf value: 0.48010 - task: name: Translation urd-spa type: translation args: urd-spa dataset: name: flores200-devtest type: flores200-devtest args: urd-spa metrics: - name: BLEU type: bleu value: 14.7 - name: chr-F type: chrf value: 0.43032 - task: name: Translation asm-por type: translation args: asm-por dataset: name: flores101-devtest type: flores_101 args: asm por devtest metrics: - name: BLEU type: bleu value: 10.0 - name: chr-F type: chrf value: 0.34689 - task: name: Translation ben-eng type: translation args: ben-eng dataset: name: flores101-devtest type: flores_101 args: ben eng devtest metrics: - name: BLEU type: bleu value: 30.4 - name: chr-F type: chrf value: 0.57906 - task: name: Translation ben-fra type: translation args: ben-fra dataset: name: flores101-devtest type: flores_101 args: ben fra devtest metrics: - name: BLEU type: bleu value: 21.9 - name: chr-F type: chrf value: 0.50109 - task: name: Translation guj-spa type: translation args: guj-spa dataset: name: flores101-devtest type: flores_101 args: guj spa devtest metrics: - name: BLEU type: bleu value: 15.2 - name: chr-F type: chrf value: 0.44065 - task: name: Translation mar-deu type: translation args: mar-deu dataset: name: flores101-devtest type: flores_101 args: mar deu devtest metrics: - name: BLEU type: bleu value: 13.8 - name: chr-F type: chrf value: 0.44067 - task: name: Translation mar-por type: translation args: mar-por dataset: name: flores101-devtest type: flores_101 args: mar por devtest metrics: - name: BLEU type: bleu value: 18.6 - name: chr-F type: chrf value: 0.46685 - task: name: Translation mar-spa type: translation args: mar-spa dataset: name: flores101-devtest type: flores_101 args: mar spa devtest metrics: - name: BLEU type: bleu value: 14.0 - name: chr-F type: chrf value: 0.41662 - task: name: Translation pan-eng type: translation args: pan-eng dataset: name: flores101-devtest type: flores_101 args: pan eng devtest metrics: - name: BLEU type: bleu value: 33.0 - name: chr-F type: chrf value: 0.59922 - task: name: Translation pan-por type: translation args: pan-por dataset: name: flores101-devtest type: flores_101 args: pan por devtest metrics: - name: BLEU type: bleu value: 21.9 - name: chr-F type: chrf value: 0.49373 - task: name: Translation pan-spa type: translation args: pan-spa dataset: name: flores101-devtest type: flores_101 args: pan spa devtest metrics: - name: BLEU type: bleu value: 15.4 - name: chr-F type: chrf value: 0.43910 - task: name: Translation ben-deu type: translation args: ben-deu dataset: name: ntrex128 type: ntrex128 args: ben-deu metrics: - name: BLEU type: bleu value: 14.6 - name: chr-F type: chrf value: 0.45180 - task: name: Translation ben-eng type: translation args: ben-eng dataset: name: ntrex128 type: ntrex128 args: ben-eng metrics: - name: BLEU type: bleu value: 29.5 - name: chr-F type: chrf value: 0.57247 - task: name: Translation ben-fra type: translation args: ben-fra dataset: name: ntrex128 type: ntrex128 args: ben-fra metrics: - name: BLEU type: bleu value: 18.0 - name: chr-F type: chrf value: 0.46475 - task: name: Translation ben-por type: translation args: ben-por dataset: name: ntrex128 type: ntrex128 args: ben-por metrics: - name: BLEU type: bleu value: 16.8 - name: chr-F type: chrf value: 0.45486 - task: name: Translation ben-spa type: translation args: ben-spa dataset: name: ntrex128 type: ntrex128 args: ben-spa metrics: - name: BLEU type: bleu value: 21.1 - name: chr-F type: chrf value: 0.48738 - task: name: Translation guj-deu type: translation args: guj-deu dataset: name: ntrex128 type: ntrex128 args: guj-deu metrics: - name: BLEU type: bleu value: 13.9 - name: chr-F type: chrf value: 0.43539 - task: name: Translation guj-eng type: translation args: guj-eng dataset: name: ntrex128 type: ntrex128 args: guj-eng metrics: - name: BLEU type: bleu value: 31.6 - name: chr-F type: chrf value: 0.58894 - task: name: Translation guj-fra type: translation args: guj-fra dataset: name: ntrex128 type: ntrex128 args: guj-fra metrics: - name: BLEU type: bleu value: 16.9 - name: chr-F type: chrf value: 0.45075 - task: name: Translation guj-por type: translation args: guj-por dataset: name: ntrex128 type: ntrex128 args: guj-por metrics: - name: BLEU type: bleu value: 15.2 - name: chr-F type: chrf value: 0.43567 - task: name: Translation guj-spa type: translation args: guj-spa dataset: name: ntrex128 type: ntrex128 args: guj-spa metrics: - name: BLEU type: bleu value: 20.2 - name: chr-F type: chrf value: 0.47525 - task: name: Translation hin-deu type: translation args: hin-deu dataset: name: ntrex128 type: ntrex128 args: hin-deu metrics: - name: BLEU type: bleu value: 15.0 - name: chr-F type: chrf value: 0.46336 - task: name: Translation hin-eng type: translation args: hin-eng dataset: name: ntrex128 type: ntrex128 args: hin-eng metrics: - name: BLEU type: bleu value: 31.5 - name: chr-F type: chrf value: 0.59842 - task: name: Translation hin-fra type: translation args: hin-fra dataset: name: ntrex128 type: ntrex128 args: hin-fra metrics: - name: BLEU type: bleu value: 19.2 - name: chr-F type: chrf value: 0.48208 - task: name: Translation hin-por type: translation args: hin-por dataset: name: ntrex128 type: ntrex128 args: hin-por metrics: - name: BLEU type: bleu value: 17.6 - name: chr-F type: chrf value: 0.46509 - task: name: Translation hin-spa type: translation args: hin-spa dataset: name: ntrex128 type: ntrex128 args: hin-spa metrics: - name: BLEU type: bleu value: 21.8 - name: chr-F type: chrf value: 0.49436 - task: name: Translation mar-deu type: translation args: mar-deu dataset: name: ntrex128 type: ntrex128 args: mar-deu metrics: - name: BLEU type: bleu value: 12.8 - name: chr-F type: chrf value: 0.43119 - task: name: Translation mar-eng type: translation args: mar-eng dataset: name: ntrex128 type: ntrex128 args: mar-eng metrics: - name: BLEU type: bleu value: 27.3 - name: chr-F type: chrf value: 0.55151 - task: name: Translation mar-fra type: translation args: mar-fra dataset: name: ntrex128 type: ntrex128 args: mar-fra metrics: - name: BLEU type: bleu value: 16.2 - name: chr-F type: chrf value: 0.43957 - task: name: Translation mar-por type: translation args: mar-por dataset: name: ntrex128 type: ntrex128 args: mar-por metrics: - name: BLEU type: bleu value: 15.4 - name: chr-F type: chrf value: 0.43555 - task: name: Translation mar-spa type: translation args: mar-spa dataset: name: ntrex128 type: ntrex128 args: mar-spa metrics: - name: BLEU type: bleu value: 19.1 - name: chr-F type: chrf value: 0.46271 - task: name: Translation nep-deu type: translation args: nep-deu dataset: name: ntrex128 type: ntrex128 args: nep-deu metrics: - name: BLEU type: bleu value: 13.0 - name: chr-F type: chrf value: 0.42940 - task: name: Translation nep-eng type: translation args: nep-eng dataset: name: ntrex128 type: ntrex128 args: nep-eng metrics: - name: BLEU type: bleu value: 29.1 - name: chr-F type: chrf value: 0.56277 - task: name: Translation nep-fra type: translation args: nep-fra dataset: name: ntrex128 type: ntrex128 args: nep-fra metrics: - name: BLEU type: bleu value: 16.5 - name: chr-F type: chrf value: 0.44663 - task: name: Translation nep-por type: translation args: nep-por dataset: name: ntrex128 type: ntrex128 args: nep-por metrics: - name: BLEU type: bleu value: 15.4 - name: chr-F type: chrf value: 0.43686 - task: name: Translation nep-spa type: translation args: nep-spa dataset: name: ntrex128 type: ntrex128 args: nep-spa metrics: - name: BLEU type: bleu value: 19.3 - name: chr-F type: chrf value: 0.46553 - task: name: Translation pan-deu type: translation args: pan-deu dataset: name: ntrex128 type: ntrex128 args: pan-deu metrics: - name: BLEU type: bleu value: 14.1 - name: chr-F type: chrf value: 0.44036 - task: name: Translation pan-eng type: translation args: pan-eng dataset: name: ntrex128 type: ntrex128 args: pan-eng metrics: - name: BLEU type: bleu value: 31.6 - name: chr-F type: chrf value: 0.58427 - task: name: Translation pan-fra type: translation args: pan-fra dataset: name: ntrex128 type: ntrex128 args: pan-fra metrics: - name: BLEU type: bleu value: 17.3 - name: chr-F type: chrf value: 0.45593 - task: name: Translation pan-por type: translation args: pan-por dataset: name: ntrex128 type: ntrex128 args: pan-por metrics: - name: BLEU type: bleu value: 15.9 - name: chr-F type: chrf value: 0.44264 - task: name: Translation pan-spa type: translation args: pan-spa dataset: name: ntrex128 type: ntrex128 args: pan-spa metrics: - name: BLEU type: bleu value: 20.0 - name: chr-F type: chrf value: 0.47199 - task: name: Translation sin-deu type: translation args: sin-deu dataset: name: ntrex128 type: ntrex128 args: sin-deu metrics: - name: BLEU type: bleu value: 12.4 - name: chr-F type: chrf value: 0.42280 - task: name: Translation sin-eng type: translation args: sin-eng dataset: name: ntrex128 type: ntrex128 args: sin-eng metrics: - name: BLEU type: bleu value: 24.6 - name: chr-F type: chrf value: 0.52576 - task: name: Translation sin-fra type: translation args: sin-fra dataset: name: ntrex128 type: ntrex128 args: sin-fra metrics: - name: BLEU type: bleu value: 15.6 - name: chr-F type: chrf value: 0.43594 - task: name: Translation sin-por type: translation args: sin-por dataset: name: ntrex128 type: ntrex128 args: sin-por metrics: - name: BLEU type: bleu value: 14.4 - name: chr-F type: chrf value: 0.42751 - task: name: Translation sin-spa type: translation args: sin-spa dataset: name: ntrex128 type: ntrex128 args: sin-spa metrics: - name: BLEU type: bleu value: 18.3 - name: chr-F type: chrf value: 0.45890 - task: name: Translation urd-deu type: translation args: urd-deu dataset: name: ntrex128 type: ntrex128 args: urd-deu metrics: - name: BLEU type: bleu value: 15.6 - name: chr-F type: chrf value: 0.45737 - task: name: Translation urd-eng type: translation args: urd-eng dataset: name: ntrex128 type: ntrex128 args: urd-eng metrics: - name: BLEU type: bleu value: 28.6 - name: chr-F type: chrf value: 0.56781 - task: name: Translation urd-fra type: translation args: urd-fra dataset: name: ntrex128 type: ntrex128 args: urd-fra metrics: - name: BLEU type: bleu value: 18.9 - name: chr-F type: chrf value: 0.47298 - task: name: Translation urd-por type: translation args: urd-por dataset: name: ntrex128 type: ntrex128 args: urd-por metrics: - name: BLEU type: bleu value: 16.2 - name: chr-F type: chrf value: 0.45273 - task: name: Translation urd-spa type: translation args: urd-spa dataset: name: ntrex128 type: ntrex128 args: urd-spa metrics: - name: BLEU type: bleu value: 21.0 - name: chr-F type: chrf value: 0.48644 - task: name: Translation awa-eng type: translation args: awa-eng dataset: name: tatoeba-test-v2021-08-07 type: tatoeba_mt args: awa-eng metrics: - name: BLEU type: bleu value: 40.8 - name: chr-F type: chrf value: 0.60390 - task: name: Translation ben-eng type: translation args: ben-eng dataset: name: tatoeba-test-v2021-08-07 type: tatoeba_mt args: ben-eng metrics: - name: BLEU type: bleu value: 49.4 - name: chr-F type: chrf value: 0.64078 - task: name: Translation hin-eng type: translation args: hin-eng dataset: name: tatoeba-test-v2021-08-07 type: tatoeba_mt args: hin-eng metrics: - name: BLEU type: bleu value: 49.1 - name: chr-F type: chrf value: 0.64929 - task: name: Translation mar-eng type: translation args: mar-eng dataset: name: tatoeba-test-v2021-08-07 type: tatoeba_mt args: mar-eng metrics: - name: BLEU type: bleu value: 48.0 - name: chr-F type: chrf value: 0.64074 - task: name: Translation multi-multi type: translation args: multi-multi dataset: name: tatoeba-test-v2020-07-28-v2023-09-26 type: tatoeba_mt args: multi-multi metrics: - name: BLEU type: bleu value: 44.6 - name: chr-F type: chrf value: 0.61360 - task: name: Translation urd-eng type: translation args: urd-eng dataset: name: tatoeba-test-v2021-08-07 type: tatoeba_mt args: urd-eng metrics: - name: BLEU type: bleu value: 35.0 - name: chr-F type: chrf value: 0.52963 - task: name: Translation ben-eng type: translation args: ben-eng dataset: name: tico19-test type: tico19-test args: ben-eng metrics: - name: BLEU type: bleu value: 38.2 - name: chr-F type: chrf value: 0.64568 - task: name: Translation ben-fra type: translation args: ben-fra dataset: name: tico19-test type: tico19-test args: ben-fra metrics: - name: BLEU type: bleu value: 22.0 - name: chr-F type: chrf value: 0.49799 - task: name: Translation ben-por type: translation args: ben-por dataset: name: tico19-test type: tico19-test args: ben-por metrics: - name: BLEU type: bleu value: 27.2 - name: chr-F type: chrf value: 0.55115 - task: name: Translation ben-spa type: translation args: ben-spa dataset: name: tico19-test type: tico19-test args: ben-spa metrics: - name: BLEU type: bleu value: 29.9 - name: chr-F type: chrf value: 0.56847 - task: name: Translation hin-eng type: translation args: hin-eng dataset: name: tico19-test type: tico19-test args: hin-eng metrics: - name: BLEU type: bleu value: 46.6 - name: chr-F type: chrf value: 0.70694 - task: name: Translation hin-fra type: translation args: hin-fra dataset: name: tico19-test type: tico19-test args: hin-fra metrics: - name: BLEU type: bleu value: 26.7 - name: chr-F type: chrf value: 0.53932 - task: name: Translation hin-por type: translation args: hin-por dataset: name: tico19-test type: tico19-test args: hin-por metrics: - name: BLEU type: bleu value: 33.4 - name: chr-F type: chrf value: 0.60581 - task: name: Translation hin-spa type: translation args: hin-spa dataset: name: tico19-test type: tico19-test args: hin-spa metrics: - name: BLEU type: bleu value: 35.7 - name: chr-F type: chrf value: 0.61585 - task: name: Translation mar-eng type: translation args: mar-eng dataset: name: tico19-test type: tico19-test args: mar-eng metrics: - name: BLEU type: bleu value: 31.8 - name: chr-F type: chrf value: 0.59329 - task: name: Translation mar-fra type: translation args: mar-fra dataset: name: tico19-test type: tico19-test args: mar-fra metrics: - name: BLEU type: bleu value: 19.3 - name: chr-F type: chrf value: 0.46574 - task: name: Translation mar-por type: translation args: mar-por dataset: name: tico19-test type: tico19-test args: mar-por metrics: - name: BLEU type: bleu value: 23.6 - name: chr-F type: chrf value: 0.51463 - task: name: Translation mar-spa type: translation args: mar-spa dataset: name: tico19-test type: tico19-test args: mar-spa metrics: - name: BLEU type: bleu value: 25.7 - name: chr-F type: chrf value: 0.52551 - task: name: Translation nep-eng type: translation args: nep-eng dataset: name: tico19-test type: tico19-test args: nep-eng metrics: - name: BLEU type: bleu value: 40.7 - name: chr-F type: chrf value: 0.66283 - task: name: Translation nep-fra type: translation args: nep-fra dataset: name: tico19-test type: tico19-test args: nep-fra metrics: - name: BLEU type: bleu value: 22.8 - name: chr-F type: chrf value: 0.50397 - task: name: Translation nep-por type: translation args: nep-por dataset: name: tico19-test type: tico19-test args: nep-por metrics: - name: BLEU type: bleu value: 28.1 - name: chr-F type: chrf value: 0.55951 - task: name: Translation nep-spa type: translation args: nep-spa dataset: name: tico19-test type: tico19-test args: nep-spa metrics: - name: BLEU type: bleu value: 30.3 - name: chr-F type: chrf value: 0.57272 - task: name: Translation urd-eng type: translation args: urd-eng dataset: name: tico19-test type: tico19-test args: urd-eng metrics: - name: BLEU type: bleu value: 30.5 - name: chr-F type: chrf value: 0.57473 - task: name: Translation urd-fra type: translation args: urd-fra dataset: name: tico19-test type: tico19-test args: urd-fra metrics: - name: BLEU type: bleu value: 19.6 - name: chr-F type: chrf value: 0.46725 - task: name: Translation urd-por type: translation args: urd-por dataset: name: tico19-test type: tico19-test args: urd-por metrics: - name: BLEU type: bleu value: 23.5 - name: chr-F type: chrf value: 0.50913 - task: name: Translation urd-spa type: translation args: urd-spa dataset: name: tico19-test type: tico19-test args: urd-spa metrics: - name: BLEU type: bleu value: 25.8 - name: chr-F type: chrf value: 0.52387 - task: name: Translation hin-eng type: translation args: hin-eng dataset: name: newstest2014 type: wmt-2014-news args: hin-eng metrics: - name: BLEU type: bleu value: 30.3 - name: chr-F type: chrf value: 0.59329 - task: name: Translation guj-eng type: translation args: guj-eng dataset: name: newstest2019 type: wmt-2019-news args: guj-eng metrics: - name: BLEU type: bleu value: 26.9 - name: chr-F type: chrf value: 0.53383 --- # opus-mt-tc-bible-big-inc-deu_eng_fra_por_spa ## Table of Contents - [Model Details](#model-details) - [Uses](#uses) - [Risks, Limitations and Biases](#risks-limitations-and-biases) - [How to Get Started With the Model](#how-to-get-started-with-the-model) - [Training](#training) - [Evaluation](#evaluation) - [Citation Information](#citation-information) - [Acknowledgements](#acknowledgements) ## Model Details Neural machine translation model for translating from Indic languages (inc) to unknown (deu+eng+fra+por+spa). This model is part of the [OPUS-MT project](https://github.com/Helsinki-NLP/Opus-MT), an effort to make neural machine translation models widely available and accessible for many languages in the world. All models are originally trained using the amazing framework of [Marian NMT](https://marian-nmt.github.io/), an efficient NMT implementation written in pure C++. The models have been converted to pyTorch using the transformers library by huggingface. Training data is taken from [OPUS](https://opus.nlpl.eu/) and training pipelines use the procedures of [OPUS-MT-train](https://github.com/Helsinki-NLP/Opus-MT-train). **Model Description:** - **Developed by:** Language Technology Research Group at the University of Helsinki - **Model Type:** Translation (transformer-big) - **Release**: 2024-05-30 - **License:** Apache-2.0 - **Language(s):** - Source Language(s): anp asm awa ben bho bpy div dty gbm guj hif hin hne hns kas kok lah mag mai mar nep npi ori pan pli rhg rmy rom san sin skr snd syl urd - Target Language(s): deu eng fra por spa - Valid Target Language Labels: >>deu<< >>eng<< >>fra<< >>por<< >>spa<< >>xxx<< - **Original Model**: [opusTCv20230926max50+bt+jhubc_transformer-big_2024-05-30.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/inc-deu+eng+fra+por+spa/opusTCv20230926max50+bt+jhubc_transformer-big_2024-05-30.zip) - **Resources for more information:** - [OPUS-MT dashboard](https://opus.nlpl.eu/dashboard/index.php?pkg=opusmt&test=all&scoreslang=all&chart=standard&model=Tatoeba-MT-models/inc-deu%2Beng%2Bfra%2Bpor%2Bspa/opusTCv20230926max50%2Bbt%2Bjhubc_transformer-big_2024-05-30) - [OPUS-MT-train GitHub Repo](https://github.com/Helsinki-NLP/OPUS-MT-train) - [More information about MarianNMT models in the transformers library](https://huggingface.co/docs/transformers/model_doc/marian) - [Tatoeba Translation Challenge](https://github.com/Helsinki-NLP/Tatoeba-Challenge/) - [HPLT bilingual data v1 (as part of the Tatoeba Translation Challenge dataset)](https://hplt-project.org/datasets/v1) - [A massively parallel Bible corpus](https://aclanthology.org/L14-1215/) This is a multilingual translation model with multiple target languages. A sentence initial language token is required in the form of `>>id<<` (id = valid target language ID), e.g. `>>deu<<` ## Uses This model can be used for translation and text-to-text generation. ## Risks, Limitations and Biases **CONTENT WARNING: Readers should be aware that the model is trained on various public data sets that may contain content that is disturbing, offensive, and can propagate historical and current stereotypes.** Significant research has explored bias and fairness issues with language models (see, e.g., [Sheng et al. (2021)](https://aclanthology.org/2021.acl-long.330.pdf) and [Bender et al. (2021)](https://dl.acm.org/doi/pdf/10.1145/3442188.3445922)). ## How to Get Started With the Model A short example code: ```python from transformers import MarianMTModel, MarianTokenizer src_text = [ ">>deu<< Replace this with text in an accepted source language.", ">>spa<< This is the second sentence." ] model_name = "pytorch-models/opus-mt-tc-bible-big-inc-deu_eng_fra_por_spa" tokenizer = MarianTokenizer.from_pretrained(model_name) model = MarianMTModel.from_pretrained(model_name) translated = model.generate(**tokenizer(src_text, return_tensors="pt", padding=True)) for t in translated: print( tokenizer.decode(t, skip_special_tokens=True) ) ``` You can also use OPUS-MT models with the transformers pipelines, for example: ```python from transformers import pipeline pipe = pipeline("translation", model="Helsinki-NLP/opus-mt-tc-bible-big-inc-deu_eng_fra_por_spa") print(pipe(">>deu<< Replace this with text in an accepted source language.")) ``` ## Training - **Data**: opusTCv20230926max50+bt+jhubc ([source](https://github.com/Helsinki-NLP/Tatoeba-Challenge)) - **Pre-processing**: SentencePiece (spm32k,spm32k) - **Model Type:** transformer-big - **Original MarianNMT Model**: [opusTCv20230926max50+bt+jhubc_transformer-big_2024-05-30.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/inc-deu+eng+fra+por+spa/opusTCv20230926max50+bt+jhubc_transformer-big_2024-05-30.zip) - **Training Scripts**: [GitHub Repo](https://github.com/Helsinki-NLP/OPUS-MT-train) ## Evaluation * [Model scores at the OPUS-MT dashboard](https://opus.nlpl.eu/dashboard/index.php?pkg=opusmt&test=all&scoreslang=all&chart=standard&model=Tatoeba-MT-models/inc-deu%2Beng%2Bfra%2Bpor%2Bspa/opusTCv20230926max50%2Bbt%2Bjhubc_transformer-big_2024-05-30) * test set translations: [opusTCv20230926max50+bt+jhubc_transformer-big_2024-05-29.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/inc-deu+eng+fra+por+spa/opusTCv20230926max50+bt+jhubc_transformer-big_2024-05-29.test.txt) * test set scores: [opusTCv20230926max50+bt+jhubc_transformer-big_2024-05-29.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/inc-deu+eng+fra+por+spa/opusTCv20230926max50+bt+jhubc_transformer-big_2024-05-29.eval.txt) * benchmark results: [benchmark_results.txt](benchmark_results.txt) * benchmark output: [benchmark_translations.zip](benchmark_translations.zip) | langpair | testset | chr-F | BLEU | #sent | #words | |----------|---------|-------|-------|-------|--------| | awa-eng | tatoeba-test-v2021-08-07 | 0.60390 | 40.8 | 279 | 1335 | | ben-eng | tatoeba-test-v2021-08-07 | 0.64078 | 49.4 | 2500 | 13978 | | hin-eng | tatoeba-test-v2021-08-07 | 0.64929 | 49.1 | 5000 | 33943 | | mar-eng | tatoeba-test-v2021-08-07 | 0.64074 | 48.0 | 10396 | 67527 | | urd-eng | tatoeba-test-v2021-08-07 | 0.52963 | 35.0 | 1663 | 12029 | | ben-eng | flores101-devtest | 0.57906 | 30.4 | 1012 | 24721 | | ben-fra | flores101-devtest | 0.50109 | 21.9 | 1012 | 28343 | | guj-spa | flores101-devtest | 0.44065 | 15.2 | 1012 | 29199 | | mar-deu | flores101-devtest | 0.44067 | 13.8 | 1012 | 25094 | | mar-por | flores101-devtest | 0.46685 | 18.6 | 1012 | 26519 | | mar-spa | flores101-devtest | 0.41662 | 14.0 | 1012 | 29199 | | pan-eng | flores101-devtest | 0.59922 | 33.0 | 1012 | 24721 | | pan-por | flores101-devtest | 0.49373 | 21.9 | 1012 | 26519 | | pan-spa | flores101-devtest | 0.43910 | 15.4 | 1012 | 29199 | | asm-eng | flores200-devtest | 0.48584 | 21.9 | 1012 | 24721 | | awa-deu | flores200-devtest | 0.47173 | 16.5 | 1012 | 25094 | | awa-eng | flores200-devtest | 0.50582 | 24.5 | 1012 | 24721 | | awa-fra | flores200-devtest | 0.49682 | 21.4 | 1012 | 28343 | | awa-por | flores200-devtest | 0.49663 | 21.5 | 1012 | 26519 | | awa-spa | flores200-devtest | 0.43740 | 15.1 | 1012 | 29199 | | ben-deu | flores200-devtest | 0.47330 | 16.6 | 1012 | 25094 | | ben-eng | flores200-devtest | 0.58077 | 30.5 | 1012 | 24721 | | ben-fra | flores200-devtest | 0.50884 | 22.6 | 1012 | 28343 | | ben-por | flores200-devtest | 0.50054 | 21.4 | 1012 | 26519 | | ben-spa | flores200-devtest | 0.44159 | 15.2 | 1012 | 29199 | | bho-deu | flores200-devtest | 0.42660 | 12.6 | 1012 | 25094 | | bho-eng | flores200-devtest | 0.50609 | 22.7 | 1012 | 24721 | | bho-fra | flores200-devtest | 0.44889 | 16.8 | 1012 | 28343 | | bho-por | flores200-devtest | 0.44582 | 16.9 | 1012 | 26519 | | bho-spa | flores200-devtest | 0.40581 | 13.1 | 1012 | 29199 | | guj-deu | flores200-devtest | 0.46665 | 16.8 | 1012 | 25094 | | guj-eng | flores200-devtest | 0.61383 | 34.3 | 1012 | 24721 | | guj-fra | flores200-devtest | 0.50410 | 22.3 | 1012 | 28343 | | guj-por | flores200-devtest | 0.49257 | 21.3 | 1012 | 26519 | | guj-spa | flores200-devtest | 0.44565 | 15.6 | 1012 | 29199 | | hin-deu | flores200-devtest | 0.50226 | 20.4 | 1012 | 25094 | | hin-eng | flores200-devtest | 0.63336 | 37.3 | 1012 | 24721 | | hin-fra | flores200-devtest | 0.53701 | 25.9 | 1012 | 28343 | | hin-por | flores200-devtest | 0.53448 | 25.5 | 1012 | 26519 | | hin-spa | flores200-devtest | 0.46171 | 17.2 | 1012 | 29199 | | hne-deu | flores200-devtest | 0.49698 | 19.0 | 1012 | 25094 | | hne-eng | flores200-devtest | 0.63936 | 38.5 | 1012 | 24721 | | hne-fra | flores200-devtest | 0.52835 | 25.3 | 1012 | 28343 | | hne-por | flores200-devtest | 0.52788 | 25.0 | 1012 | 26519 | | hne-spa | flores200-devtest | 0.45443 | 16.7 | 1012 | 29199 | | mag-deu | flores200-devtest | 0.50359 | 19.7 | 1012 | 25094 | | mag-eng | flores200-devtest | 0.63906 | 38.0 | 1012 | 24721 | | mag-fra | flores200-devtest | 0.53616 | 25.8 | 1012 | 28343 | | mag-por | flores200-devtest | 0.53537 | 25.9 | 1012 | 26519 | | mag-spa | flores200-devtest | 0.45822 | 16.9 | 1012 | 29199 | | mai-deu | flores200-devtest | 0.46791 | 16.2 | 1012 | 25094 | | mai-eng | flores200-devtest | 0.57461 | 30.4 | 1012 | 24721 | | mai-fra | flores200-devtest | 0.50585 | 22.1 | 1012 | 28343 | | mai-por | flores200-devtest | 0.50490 | 22.0 | 1012 | 26519 | | mai-spa | flores200-devtest | 0.44366 | 15.3 | 1012 | 29199 | | mar-deu | flores200-devtest | 0.44725 | 14.5 | 1012 | 25094 | | mar-eng | flores200-devtest | 0.58500 | 31.4 | 1012 | 24721 | | mar-fra | flores200-devtest | 0.47027 | 19.5 | 1012 | 28343 | | mar-por | flores200-devtest | 0.47216 | 19.3 | 1012 | 26519 | | mar-spa | flores200-devtest | 0.42178 | 14.2 | 1012 | 29199 | | npi-deu | flores200-devtest | 0.46631 | 16.4 | 1012 | 25094 | | npi-eng | flores200-devtest | 0.59776 | 32.3 | 1012 | 24721 | | npi-fra | flores200-devtest | 0.50548 | 22.5 | 1012 | 28343 | | npi-por | flores200-devtest | 0.50202 | 21.7 | 1012 | 26519 | | npi-spa | flores200-devtest | 0.43804 | 15.3 | 1012 | 29199 | | pan-deu | flores200-devtest | 0.48421 | 18.7 | 1012 | 25094 | | pan-eng | flores200-devtest | 0.60676 | 33.8 | 1012 | 24721 | | pan-fra | flores200-devtest | 0.51368 | 23.5 | 1012 | 28343 | | pan-por | flores200-devtest | 0.50586 | 22.7 | 1012 | 26519 | | pan-spa | flores200-devtest | 0.44653 | 16.5 | 1012 | 29199 | | sin-deu | flores200-devtest | 0.44676 | 14.2 | 1012 | 25094 | | sin-eng | flores200-devtest | 0.54777 | 26.8 | 1012 | 24721 | | sin-fra | flores200-devtest | 0.47283 | 19.0 | 1012 | 28343 | | sin-por | flores200-devtest | 0.46935 | 18.4 | 1012 | 26519 | | sin-spa | flores200-devtest | 0.42143 | 13.7 | 1012 | 29199 | | urd-deu | flores200-devtest | 0.46542 | 17.1 | 1012 | 25094 | | urd-eng | flores200-devtest | 0.56935 | 29.3 | 1012 | 24721 | | urd-fra | flores200-devtest | 0.50276 | 22.3 | 1012 | 28343 | | urd-por | flores200-devtest | 0.48010 | 20.3 | 1012 | 26519 | | urd-spa | flores200-devtest | 0.43032 | 14.7 | 1012 | 29199 | | hin-eng | newstest2014 | 0.59329 | 30.3 | 2507 | 55571 | | guj-eng | newstest2019 | 0.53383 | 26.9 | 1016 | 17757 | | ben-deu | ntrex128 | 0.45180 | 14.6 | 1997 | 48761 | | ben-eng | ntrex128 | 0.57247 | 29.5 | 1997 | 47673 | | ben-fra | ntrex128 | 0.46475 | 18.0 | 1997 | 53481 | | ben-por | ntrex128 | 0.45486 | 16.8 | 1997 | 51631 | | ben-spa | ntrex128 | 0.48738 | 21.1 | 1997 | 54107 | | guj-deu | ntrex128 | 0.43539 | 13.9 | 1997 | 48761 | | guj-eng | ntrex128 | 0.58894 | 31.6 | 1997 | 47673 | | guj-fra | ntrex128 | 0.45075 | 16.9 | 1997 | 53481 | | guj-por | ntrex128 | 0.43567 | 15.2 | 1997 | 51631 | | guj-spa | ntrex128 | 0.47525 | 20.2 | 1997 | 54107 | | hin-deu | ntrex128 | 0.46336 | 15.0 | 1997 | 48761 | | hin-eng | ntrex128 | 0.59842 | 31.5 | 1997 | 47673 | | hin-fra | ntrex128 | 0.48208 | 19.2 | 1997 | 53481 | | hin-por | ntrex128 | 0.46509 | 17.6 | 1997 | 51631 | | hin-spa | ntrex128 | 0.49436 | 21.8 | 1997 | 54107 | | mar-deu | ntrex128 | 0.43119 | 12.8 | 1997 | 48761 | | mar-eng | ntrex128 | 0.55151 | 27.3 | 1997 | 47673 | | mar-fra | ntrex128 | 0.43957 | 16.2 | 1997 | 53481 | | mar-por | ntrex128 | 0.43555 | 15.4 | 1997 | 51631 | | mar-spa | ntrex128 | 0.46271 | 19.1 | 1997 | 54107 | | nep-deu | ntrex128 | 0.42940 | 13.0 | 1997 | 48761 | | nep-eng | ntrex128 | 0.56277 | 29.1 | 1997 | 47673 | | nep-fra | ntrex128 | 0.44663 | 16.5 | 1997 | 53481 | | nep-por | ntrex128 | 0.43686 | 15.4 | 1997 | 51631 | | nep-spa | ntrex128 | 0.46553 | 19.3 | 1997 | 54107 | | pan-deu | ntrex128 | 0.44036 | 14.1 | 1997 | 48761 | | pan-eng | ntrex128 | 0.58427 | 31.6 | 1997 | 47673 | | pan-fra | ntrex128 | 0.45593 | 17.3 | 1997 | 53481 | | pan-por | ntrex128 | 0.44264 | 15.9 | 1997 | 51631 | | pan-spa | ntrex128 | 0.47199 | 20.0 | 1997 | 54107 | | sin-deu | ntrex128 | 0.42280 | 12.4 | 1997 | 48761 | | sin-eng | ntrex128 | 0.52576 | 24.6 | 1997 | 47673 | | sin-fra | ntrex128 | 0.43594 | 15.6 | 1997 | 53481 | | sin-por | ntrex128 | 0.42751 | 14.4 | 1997 | 51631 | | sin-spa | ntrex128 | 0.45890 | 18.3 | 1997 | 54107 | | urd-deu | ntrex128 | 0.45737 | 15.6 | 1997 | 48761 | | urd-eng | ntrex128 | 0.56781 | 28.6 | 1997 | 47673 | | urd-fra | ntrex128 | 0.47298 | 18.9 | 1997 | 53481 | | urd-por | ntrex128 | 0.45273 | 16.2 | 1997 | 51631 | | urd-spa | ntrex128 | 0.48644 | 21.0 | 1997 | 54107 | | ben-eng | tico19-test | 0.64568 | 38.2 | 2100 | 56824 | | ben-fra | tico19-test | 0.49799 | 22.0 | 2100 | 64661 | | ben-por | tico19-test | 0.55115 | 27.2 | 2100 | 62729 | | ben-spa | tico19-test | 0.56847 | 29.9 | 2100 | 66563 | | hin-eng | tico19-test | 0.70694 | 46.6 | 2100 | 56323 | | hin-fra | tico19-test | 0.53932 | 26.7 | 2100 | 64661 | | hin-por | tico19-test | 0.60581 | 33.4 | 2100 | 62729 | | hin-spa | tico19-test | 0.61585 | 35.7 | 2100 | 66563 | | mar-eng | tico19-test | 0.59329 | 31.8 | 2100 | 56315 | | mar-fra | tico19-test | 0.46574 | 19.3 | 2100 | 64661 | | mar-por | tico19-test | 0.51463 | 23.6 | 2100 | 62729 | | mar-spa | tico19-test | 0.52551 | 25.7 | 2100 | 66563 | | nep-eng | tico19-test | 0.66283 | 40.7 | 2100 | 56824 | | nep-fra | tico19-test | 0.50397 | 22.8 | 2100 | 64661 | | nep-por | tico19-test | 0.55951 | 28.1 | 2100 | 62729 | | nep-spa | tico19-test | 0.57272 | 30.3 | 2100 | 66563 | | urd-eng | tico19-test | 0.57473 | 30.5 | 2100 | 56315 | | urd-fra | tico19-test | 0.46725 | 19.6 | 2100 | 64661 | | urd-por | tico19-test | 0.50913 | 23.5 | 2100 | 62729 | | urd-spa | tico19-test | 0.52387 | 25.8 | 2100 | 66563 | ## Citation Information * Publications: [Democratizing neural machine translation with OPUS-MT](https://doi.org/10.1007/s10579-023-09704-w) and [OPUS-MT – Building open translation services for the World](https://aclanthology.org/2020.eamt-1.61/) and [The Tatoeba Translation Challenge – Realistic Data Sets for Low Resource and Multilingual MT](https://aclanthology.org/2020.wmt-1.139/) (Please, cite if you use this model.) ```bibtex @article{tiedemann2023democratizing, title={Democratizing neural machine translation with {OPUS-MT}}, author={Tiedemann, J{\"o}rg and Aulamo, Mikko and Bakshandaeva, Daria and Boggia, Michele and Gr{\"o}nroos, Stig-Arne and Nieminen, Tommi and Raganato, Alessandro and Scherrer, Yves and Vazquez, Raul and Virpioja, Sami}, journal={Language Resources and Evaluation}, number={58}, pages={713--755}, year={2023}, publisher={Springer Nature}, issn={1574-0218}, doi={10.1007/s10579-023-09704-w} } @inproceedings{tiedemann-thottingal-2020-opus, title = "{OPUS}-{MT} {--} Building open translation services for the World", author = {Tiedemann, J{\"o}rg and Thottingal, Santhosh}, booktitle = "Proceedings of the 22nd Annual Conference of the European Association for Machine Translation", month = nov, year = "2020", address = "Lisboa, Portugal", publisher = "European Association for Machine Translation", url = "https://aclanthology.org/2020.eamt-1.61", pages = "479--480", } @inproceedings{tiedemann-2020-tatoeba, title = "The Tatoeba Translation Challenge {--} Realistic Data Sets for Low Resource and Multilingual {MT}", author = {Tiedemann, J{\"o}rg}, booktitle = "Proceedings of the Fifth Conference on Machine Translation", month = nov, year = "2020", address = "Online", publisher = "Association for Computational Linguistics", url = "https://aclanthology.org/2020.wmt-1.139", pages = "1174--1182", } ``` ## Acknowledgements The work is supported by the [HPLT project](https://hplt-project.org/), funded by the European Union’s Horizon Europe research and innovation programme under grant agreement No 101070350. We are also grateful for the generous computational resources and IT infrastructure provided by [CSC -- IT Center for Science](https://www.csc.fi/), Finland, and the [EuroHPC supercomputer LUMI](https://www.lumi-supercomputer.eu/). ## Model conversion info * transformers version: 4.45.1 * OPUS-MT git hash: 0882077 * port time: Tue Oct 8 11:39:25 EEST 2024 * port machine: LM0-400-22516.local