| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| newsdev2014-enghin.eng.hin 	| 5.0 	| 0.288 |
| newsdev2015-enfi-engfin.eng.fin 	| 9.3 	| 0.418 |
| newsdev2016-enro-engron.eng.ron 	| 17.2 	| 0.488 |
| newsdev2016-entr-engtur.eng.tur 	| 8.2 	| 0.402 |
| newsdev2017-enlv-englav.eng.lav 	| 12.9 	| 0.444 |
| newsdev2017-enzh-engzho.eng.zho 	| 17.6 	| 0.170 |
| newsdev2018-enet-engest.eng.est 	| 10.9 	| 0.423 |
| newsdev2019-engu-engguj.eng.guj 	| 5.2 	| 0.284 |
| newsdev2019-enlt-englit.eng.lit 	| 11.0 	| 0.431 |
| newsdiscussdev2015-enfr-engfra.eng.fra 	| 22.6 	| 0.521 |
| newsdiscusstest2015-enfr-engfra.eng.fra 	| 25.9 	| 0.546 |
| newssyscomb2009-engces.eng.ces 	| 10.3 	| 0.394 |
| newssyscomb2009-engdeu.eng.deu 	| 13.3 	| 0.459 |
| newssyscomb2009-engfra.eng.fra 	| 21.5 	| 0.522 |
| newssyscomb2009-enghun.eng.hun 	| 8.1 	| 0.371 |
| newssyscomb2009-engita.eng.ita 	| 22.1 	| 0.540 |
| newssyscomb2009-engspa.eng.spa 	| 23.8 	| 0.531 |
| news-test2008-engces.eng.ces 	| 9.0 	| 0.376 |
| news-test2008-engdeu.eng.deu 	| 14.2 	| 0.451 |
| news-test2008-engfra.eng.fra 	| 19.8 	| 0.500 |
| news-test2008-engspa.eng.spa 	| 22.8 	| 0.518 |
| newstest2009-engces.eng.ces 	| 9.8 	| 0.392 |
| newstest2009-engdeu.eng.deu 	| 13.7 	| 0.454 |
| newstest2009-engfra.eng.fra 	| 20.7 	| 0.514 |
| newstest2009-enghun.eng.hun 	| 8.4 	| 0.370 |
| newstest2009-engita.eng.ita 	| 22.4 	| 0.538 |
| newstest2009-engspa.eng.spa 	| 23.5 	| 0.532 |
| newstest2010-engces.eng.ces 	| 10.0 	| 0.393 |
| newstest2010-engdeu.eng.deu 	| 15.2 	| 0.463 |
| newstest2010-engfra.eng.fra 	| 22.0 	| 0.524 |
| newstest2010-engspa.eng.spa 	| 27.2 	| 0.556 |
| newstest2011-engces.eng.ces 	| 10.8 	| 0.392 |
| newstest2011-engdeu.eng.deu 	| 14.2 	| 0.449 |
| newstest2011-engfra.eng.fra 	| 24.3 	| 0.544 |
| newstest2011-engspa.eng.spa 	| 28.3 	| 0.559 |
| newstest2012-engces.eng.ces 	| 9.9 	| 0.377 |
| newstest2012-engdeu.eng.deu 	| 14.3 	| 0.449 |
| newstest2012-engfra.eng.fra 	| 23.2 	| 0.530 |
| newstest2012-engrus.eng.rus 	| 16.0 	| 0.463 |
| newstest2012-engspa.eng.spa 	| 27.8 	| 0.555 |
| newstest2013-engces.eng.ces 	| 11.0 	| 0.392 |
| newstest2013-engdeu.eng.deu 	| 16.4 	| 0.469 |
| newstest2013-engfra.eng.fra 	| 22.6 	| 0.515 |
| newstest2013-engrus.eng.rus 	| 12.1 	| 0.414 |
| newstest2013-engspa.eng.spa 	| 24.9 	| 0.532 |
| newstest2014-hien-enghin.eng.hin 	| 7.2 	| 0.311 |
| newstest2015-encs-engces.eng.ces 	| 10.9 	| 0.396 |
| newstest2015-ende-engdeu.eng.deu 	| 18.3 	| 0.490 |
| newstest2015-enfi-engfin.eng.fin 	| 10.1 	| 0.421 |
| newstest2015-enru-engrus.eng.rus 	| 14.5 	| 0.445 |
| newstest2016-encs-engces.eng.ces 	| 12.2 	| 0.408 |
| newstest2016-ende-engdeu.eng.deu 	| 21.4 	| 0.517 |
| newstest2016-enfi-engfin.eng.fin 	| 11.2 	| 0.435 |
| newstest2016-enro-engron.eng.ron 	| 16.6 	| 0.472 |
| newstest2016-enru-engrus.eng.rus 	| 13.4 	| 0.435 |
| newstest2016-entr-engtur.eng.tur 	| 8.1 	| 0.385 |
| newstest2017-encs-engces.eng.ces 	| 9.6 	| 0.377 |
| newstest2017-ende-engdeu.eng.deu 	| 17.9 	| 0.482 |
| newstest2017-enfi-engfin.eng.fin 	| 11.8 	| 0.440 |
| newstest2017-enlv-englav.eng.lav 	| 9.6 	| 0.412 |
| newstest2017-enru-engrus.eng.rus 	| 14.1 	| 0.446 |
| newstest2017-entr-engtur.eng.tur 	| 8.0 	| 0.378 |
| newstest2017-enzh-engzho.eng.zho 	| 16.8 	| 0.175 |
| newstest2018-encs-engces.eng.ces 	| 9.8 	| 0.380 |
| newstest2018-ende-engdeu.eng.deu 	| 23.8 	| 0.536 |
| newstest2018-enet-engest.eng.est 	| 11.8 	| 0.433 |
| newstest2018-enfi-engfin.eng.fin 	| 7.8 	| 0.398 |
| newstest2018-enru-engrus.eng.rus 	| 12.2 	| 0.434 |
| newstest2018-entr-engtur.eng.tur 	| 7.5 	| 0.383 |
| newstest2018-enzh-engzho.eng.zho 	| 18.3 	| 0.179 |
| newstest2019-encs-engces.eng.ces 	| 10.7 	| 0.389 |
| newstest2019-ende-engdeu.eng.deu 	| 21.0 	| 0.512 |
| newstest2019-enfi-engfin.eng.fin 	| 10.4 	| 0.420 |
| newstest2019-engu-engguj.eng.guj 	| 5.8 	| 0.297 |
| newstest2019-enlt-englit.eng.lit 	| 8.0 	| 0.388 |
| newstest2019-enru-engrus.eng.rus 	| 13.0 	| 0.415 |
| newstest2019-enzh-engzho.eng.zho 	| 15.0 	| 0.192 |
| newstestB2016-enfi-engfin.eng.fin 	| 9.0 	| 0.414 |
| newstestB2017-enfi-engfin.eng.fin 	| 9.5 	| 0.415 |
| Tatoeba-test.eng-abk.eng.abk 	| 4.2 	| 0.275 |
| Tatoeba-test.eng-ady.eng.ady 	| 0.4 	| 0.006 |
| Tatoeba-test.eng-afh.eng.afh 	| 1.0 	| 0.058 |
| Tatoeba-test.eng-afr.eng.afr 	| 47.0 	| 0.663 |
| Tatoeba-test.eng-akl.eng.akl 	| 2.7 	| 0.080 |
| Tatoeba-test.eng-amh.eng.amh 	| 8.5 	| 0.455 |
| Tatoeba-test.eng-ang.eng.ang 	| 6.2 	| 0.138 |
| Tatoeba-test.eng-ara.eng.ara 	| 6.3 	| 0.325 |
| Tatoeba-test.eng-arg.eng.arg 	| 1.5 	| 0.107 |
| Tatoeba-test.eng-asm.eng.asm 	| 2.1 	| 0.265 |
| Tatoeba-test.eng-ast.eng.ast 	| 15.7 	| 0.393 |
| Tatoeba-test.eng-avk.eng.avk 	| 0.2 	| 0.095 |
| Tatoeba-test.eng-awa.eng.awa 	| 0.1 	| 0.002 |
| Tatoeba-test.eng-aze.eng.aze 	| 19.0 	| 0.500 |
| Tatoeba-test.eng-bak.eng.bak 	| 12.7 	| 0.379 |
| Tatoeba-test.eng-bam.eng.bam 	| 8.3 	| 0.037 |
| Tatoeba-test.eng-bel.eng.bel 	| 13.5 	| 0.396 |
| Tatoeba-test.eng-ben.eng.ben 	| 10.0 	| 0.383 |
| Tatoeba-test.eng-bho.eng.bho 	| 0.1 	| 0.003 |
| Tatoeba-test.eng-bod.eng.bod 	| 0.0 	| 0.147 |
| Tatoeba-test.eng-bre.eng.bre 	| 7.6 	| 0.275 |
| Tatoeba-test.eng-brx.eng.brx 	| 0.8 	| 0.060 |
| Tatoeba-test.eng-bul.eng.bul 	| 32.1 	| 0.542 |
| Tatoeba-test.eng-cat.eng.cat 	| 37.0 	| 0.595 |
| Tatoeba-test.eng-ceb.eng.ceb 	| 9.6 	| 0.409 |
| Tatoeba-test.eng-ces.eng.ces 	| 24.0 	| 0.475 |
| Tatoeba-test.eng-cha.eng.cha 	| 3.9 	| 0.228 |
| Tatoeba-test.eng-che.eng.che 	| 0.7 	| 0.013 |
| Tatoeba-test.eng-chm.eng.chm 	| 2.6 	| 0.212 |
| Tatoeba-test.eng-chr.eng.chr 	| 6.0 	| 0.190 |
| Tatoeba-test.eng-chv.eng.chv 	| 6.5 	| 0.369 |
| Tatoeba-test.eng-cor.eng.cor 	| 0.9 	| 0.086 |
| Tatoeba-test.eng-cos.eng.cos 	| 4.2 	| 0.174 |
| Tatoeba-test.eng-crh.eng.crh 	| 9.9 	| 0.361 |
| Tatoeba-test.eng-csb.eng.csb 	| 3.4 	| 0.230 |
| Tatoeba-test.eng-cym.eng.cym 	| 18.0 	| 0.418 |
| Tatoeba-test.eng-dan.eng.dan 	| 42.5 	| 0.624 |
| Tatoeba-test.eng-deu.eng.deu 	| 25.2 	| 0.505 |
| Tatoeba-test.eng-dsb.eng.dsb 	| 0.9 	| 0.121 |
| Tatoeba-test.eng-dtp.eng.dtp 	| 0.3 	| 0.084 |
| Tatoeba-test.eng-dws.eng.dws 	| 0.2 	| 0.040 |
| Tatoeba-test.eng-egl.eng.egl 	| 0.4 	| 0.085 |
| Tatoeba-test.eng-ell.eng.ell 	| 28.7 	| 0.543 |
| Tatoeba-test.eng-enm.eng.enm 	| 3.3 	| 0.295 |
| Tatoeba-test.eng-epo.eng.epo 	| 33.4 	| 0.570 |
| Tatoeba-test.eng-est.eng.est 	| 30.3 	| 0.545 |
| Tatoeba-test.eng-eus.eng.eus 	| 18.5 	| 0.486 |
| Tatoeba-test.eng-ewe.eng.ewe 	| 6.8 	| 0.272 |
| Tatoeba-test.eng-ext.eng.ext 	| 5.0 	| 0.228 |
| Tatoeba-test.eng-fao.eng.fao 	| 5.2 	| 0.277 |
| Tatoeba-test.eng-fas.eng.fas 	| 6.9 	| 0.265 |
| Tatoeba-test.eng-fij.eng.fij 	| 31.5 	| 0.365 |
| Tatoeba-test.eng-fin.eng.fin 	| 18.5 	| 0.459 |
| Tatoeba-test.eng-fkv.eng.fkv 	| 0.9 	| 0.132 |
| Tatoeba-test.eng-fra.eng.fra 	| 31.5 	| 0.546 |
| Tatoeba-test.eng-frm.eng.frm 	| 0.9 	| 0.128 |
| Tatoeba-test.eng-frr.eng.frr 	| 3.0 	| 0.025 |
| Tatoeba-test.eng-fry.eng.fry 	| 14.4 	| 0.387 |
| Tatoeba-test.eng-ful.eng.ful 	| 0.4 	| 0.061 |
| Tatoeba-test.eng-gcf.eng.gcf 	| 0.3 	| 0.075 |
| Tatoeba-test.eng-gil.eng.gil 	| 47.4 	| 0.706 |
| Tatoeba-test.eng-gla.eng.gla 	| 10.9 	| 0.341 |
| Tatoeba-test.eng-gle.eng.gle 	| 26.8 	| 0.493 |
| Tatoeba-test.eng-glg.eng.glg 	| 32.5 	| 0.565 |
| Tatoeba-test.eng-glv.eng.glv 	| 21.5 	| 0.395 |
| Tatoeba-test.eng-gos.eng.gos 	| 0.3 	| 0.124 |
| Tatoeba-test.eng-got.eng.got 	| 0.2 	| 0.010 |
| Tatoeba-test.eng-grc.eng.grc 	| 0.0 	| 0.005 |
| Tatoeba-test.eng-grn.eng.grn 	| 1.5 	| 0.129 |
| Tatoeba-test.eng-gsw.eng.gsw 	| 0.6 	| 0.106 |
| Tatoeba-test.eng-guj.eng.guj 	| 15.4 	| 0.347 |
| Tatoeba-test.eng-hat.eng.hat 	| 31.1 	| 0.527 |
| Tatoeba-test.eng-hau.eng.hau 	| 6.5 	| 0.385 |
| Tatoeba-test.eng-haw.eng.haw 	| 0.2 	| 0.066 |
| Tatoeba-test.eng-hbs.eng.hbs 	| 28.7 	| 0.531 |
| Tatoeba-test.eng-heb.eng.heb 	| 21.3 	| 0.443 |
| Tatoeba-test.eng-hif.eng.hif 	| 2.8 	| 0.268 |
| Tatoeba-test.eng-hil.eng.hil 	| 12.0 	| 0.463 |
| Tatoeba-test.eng-hin.eng.hin 	| 13.0 	| 0.401 |
| Tatoeba-test.eng-hmn.eng.hmn 	| 0.2 	| 0.073 |
| Tatoeba-test.eng-hoc.eng.hoc 	| 0.2 	| 0.077 |
| Tatoeba-test.eng-hsb.eng.hsb 	| 5.7 	| 0.308 |
| Tatoeba-test.eng-hun.eng.hun 	| 17.1 	| 0.431 |
| Tatoeba-test.eng-hye.eng.hye 	| 15.0 	| 0.378 |
| Tatoeba-test.eng-iba.eng.iba 	| 16.0 	| 0.437 |
| Tatoeba-test.eng-ibo.eng.ibo 	| 2.9 	| 0.221 |
| Tatoeba-test.eng-ido.eng.ido 	| 11.5 	| 0.403 |
| Tatoeba-test.eng-iku.eng.iku 	| 2.3 	| 0.089 |
| Tatoeba-test.eng-ile.eng.ile 	| 4.3 	| 0.282 |
| Tatoeba-test.eng-ilo.eng.ilo 	| 26.4 	| 0.522 |
| Tatoeba-test.eng-ina.eng.ina 	| 20.9 	| 0.493 |
| Tatoeba-test.eng-isl.eng.isl 	| 12.5 	| 0.375 |
| Tatoeba-test.eng-ita.eng.ita 	| 33.9 	| 0.592 |
| Tatoeba-test.eng-izh.eng.izh 	| 4.6 	| 0.050 |
| Tatoeba-test.eng-jav.eng.jav 	| 7.8 	| 0.328 |
| Tatoeba-test.eng-jbo.eng.jbo 	| 0.1 	| 0.123 |
| Tatoeba-test.eng-jdt.eng.jdt 	| 6.4 	| 0.008 |
| Tatoeba-test.eng-jpn.eng.jpn 	| 0.0 	| 0.000 |
| Tatoeba-test.eng-kab.eng.kab 	| 5.9 	| 0.261 |
| Tatoeba-test.eng-kal.eng.kal 	| 13.4 	| 0.382 |
| Tatoeba-test.eng-kan.eng.kan 	| 4.8 	| 0.358 |
| Tatoeba-test.eng-kat.eng.kat 	| 1.8 	| 0.115 |
| Tatoeba-test.eng-kaz.eng.kaz 	| 8.8 	| 0.354 |
| Tatoeba-test.eng-kek.eng.kek 	| 3.7 	| 0.188 |
| Tatoeba-test.eng-kha.eng.kha 	| 0.5 	| 0.094 |
| Tatoeba-test.eng-khm.eng.khm 	| 0.4 	| 0.243 |
| Tatoeba-test.eng-kin.eng.kin 	| 5.2 	| 0.362 |
| Tatoeba-test.eng-kir.eng.kir 	| 17.2 	| 0.416 |
| Tatoeba-test.eng-kjh.eng.kjh 	| 0.6 	| 0.009 |
| Tatoeba-test.eng-kok.eng.kok 	| 5.5 	| 0.005 |
| Tatoeba-test.eng-kom.eng.kom 	| 2.4 	| 0.012 |
| Tatoeba-test.eng-krl.eng.krl 	| 2.0 	| 0.099 |
| Tatoeba-test.eng-ksh.eng.ksh 	| 0.4 	| 0.074 |
| Tatoeba-test.eng-kum.eng.kum 	| 0.9 	| 0.007 |
| Tatoeba-test.eng-kur.eng.kur 	| 9.1 	| 0.174 |
| Tatoeba-test.eng-lad.eng.lad 	| 1.2 	| 0.154 |
| Tatoeba-test.eng-lah.eng.lah 	| 0.1 	| 0.001 |
| Tatoeba-test.eng-lao.eng.lao 	| 0.6 	| 0.426 |
| Tatoeba-test.eng-lat.eng.lat 	| 8.2 	| 0.366 |
| Tatoeba-test.eng-lav.eng.lav 	| 20.4 	| 0.475 |
| Tatoeba-test.eng-ldn.eng.ldn 	| 0.3 	| 0.059 |
| Tatoeba-test.eng-lfn.eng.lfn 	| 0.5 	| 0.104 |
| Tatoeba-test.eng-lij.eng.lij 	| 0.2 	| 0.094 |
| Tatoeba-test.eng-lin.eng.lin 	| 1.2 	| 0.276 |
| Tatoeba-test.eng-lit.eng.lit 	| 17.4 	| 0.488 |
| Tatoeba-test.eng-liv.eng.liv 	| 0.3 	| 0.039 |
| Tatoeba-test.eng-lkt.eng.lkt 	| 0.3 	| 0.041 |
| Tatoeba-test.eng-lld.eng.lld 	| 0.1 	| 0.083 |
| Tatoeba-test.eng-lmo.eng.lmo 	| 1.4 	| 0.154 |
| Tatoeba-test.eng-ltz.eng.ltz 	| 19.1 	| 0.395 |
| Tatoeba-test.eng-lug.eng.lug 	| 4.2 	| 0.382 |
| Tatoeba-test.eng-mad.eng.mad 	| 2.1 	| 0.075 |
| Tatoeba-test.eng-mah.eng.mah 	| 9.5 	| 0.331 |
| Tatoeba-test.eng-mai.eng.mai 	| 9.3 	| 0.372 |
| Tatoeba-test.eng-mal.eng.mal 	| 8.3 	| 0.437 |
| Tatoeba-test.eng-mar.eng.mar 	| 13.5 	| 0.410 |
| Tatoeba-test.eng-mdf.eng.mdf 	| 2.3 	| 0.008 |
| Tatoeba-test.eng-mfe.eng.mfe 	| 83.6 	| 0.905 |
| Tatoeba-test.eng-mic.eng.mic 	| 7.6 	| 0.214 |
| Tatoeba-test.eng-mkd.eng.mkd 	| 31.8 	| 0.540 |
| Tatoeba-test.eng-mlg.eng.mlg 	| 31.3 	| 0.464 |
| Tatoeba-test.eng-mlt.eng.mlt 	| 11.7 	| 0.427 |
| Tatoeba-test.eng-mnw.eng.mnw 	| 0.1 	| 0.000 |
| Tatoeba-test.eng-moh.eng.moh 	| 0.6 	| 0.067 |
| Tatoeba-test.eng-mon.eng.mon 	| 8.5 	| 0.323 |
| Tatoeba-test.eng-mri.eng.mri 	| 8.5 	| 0.320 |
| Tatoeba-test.eng-msa.eng.msa 	| 24.5 	| 0.498 |
| Tatoeba-test.eng.multi 	| 22.4 	| 0.451 |
| Tatoeba-test.eng-mwl.eng.mwl 	| 3.8 	| 0.169 |
| Tatoeba-test.eng-mya.eng.mya 	| 0.2 	| 0.123 |
| Tatoeba-test.eng-myv.eng.myv 	| 1.1 	| 0.014 |
| Tatoeba-test.eng-nau.eng.nau 	| 0.6 	| 0.109 |
| Tatoeba-test.eng-nav.eng.nav 	| 1.8 	| 0.149 |
| Tatoeba-test.eng-nds.eng.nds 	| 11.3 	| 0.365 |
| Tatoeba-test.eng-nep.eng.nep 	| 0.5 	| 0.004 |
| Tatoeba-test.eng-niu.eng.niu 	| 34.4 	| 0.501 |
| Tatoeba-test.eng-nld.eng.nld 	| 37.6 	| 0.598 |
| Tatoeba-test.eng-nog.eng.nog 	| 0.2 	| 0.010 |
| Tatoeba-test.eng-non.eng.non 	| 0.2 	| 0.096 |
| Tatoeba-test.eng-nor.eng.nor 	| 36.3 	| 0.577 |
| Tatoeba-test.eng-nov.eng.nov 	| 0.9 	| 0.180 |
| Tatoeba-test.eng-nya.eng.nya 	| 9.8 	| 0.524 |
| Tatoeba-test.eng-oci.eng.oci 	| 6.3 	| 0.288 |
| Tatoeba-test.eng-ori.eng.ori 	| 5.3 	| 0.273 |
| Tatoeba-test.eng-orv.eng.orv 	| 0.2 	| 0.007 |
| Tatoeba-test.eng-oss.eng.oss 	| 3.0 	| 0.230 |
| Tatoeba-test.eng-ota.eng.ota 	| 0.2 	| 0.053 |
| Tatoeba-test.eng-pag.eng.pag 	| 20.2 	| 0.513 |
| Tatoeba-test.eng-pan.eng.pan 	| 6.4 	| 0.301 |
| Tatoeba-test.eng-pap.eng.pap 	| 44.7 	| 0.624 |
| Tatoeba-test.eng-pau.eng.pau 	| 0.8 	| 0.098 |
| Tatoeba-test.eng-pdc.eng.pdc 	| 2.9 	| 0.143 |
| Tatoeba-test.eng-pms.eng.pms 	| 0.6 	| 0.124 |
| Tatoeba-test.eng-pol.eng.pol 	| 22.7 	| 0.500 |
| Tatoeba-test.eng-por.eng.por 	| 31.6 	| 0.570 |
| Tatoeba-test.eng-ppl.eng.ppl 	| 0.5 	| 0.085 |
| Tatoeba-test.eng-prg.eng.prg 	| 0.1 	| 0.078 |
| Tatoeba-test.eng-pus.eng.pus 	| 0.9 	| 0.137 |
| Tatoeba-test.eng-quc.eng.quc 	| 2.7 	| 0.255 |
| Tatoeba-test.eng-qya.eng.qya 	| 0.4 	| 0.084 |
| Tatoeba-test.eng-rap.eng.rap 	| 1.9 	| 0.050 |
| Tatoeba-test.eng-rif.eng.rif 	| 1.3 	| 0.102 |
| Tatoeba-test.eng-roh.eng.roh 	| 1.4 	| 0.169 |
| Tatoeba-test.eng-rom.eng.rom 	| 7.8 	| 0.329 |
| Tatoeba-test.eng-ron.eng.ron 	| 27.0 	| 0.530 |
| Tatoeba-test.eng-rue.eng.rue 	| 0.1 	| 0.009 |
| Tatoeba-test.eng-run.eng.run 	| 9.8 	| 0.434 |
| Tatoeba-test.eng-rus.eng.rus 	| 22.2 	| 0.465 |
| Tatoeba-test.eng-sag.eng.sag 	| 4.8 	| 0.155 |
| Tatoeba-test.eng-sah.eng.sah 	| 0.2 	| 0.007 |
| Tatoeba-test.eng-san.eng.san 	| 1.7 	| 0.143 |
| Tatoeba-test.eng-scn.eng.scn 	| 1.5 	| 0.083 |
| Tatoeba-test.eng-sco.eng.sco 	| 30.3 	| 0.514 |
| Tatoeba-test.eng-sgs.eng.sgs 	| 1.6 	| 0.104 |
| Tatoeba-test.eng-shs.eng.shs 	| 0.7 	| 0.049 |
| Tatoeba-test.eng-shy.eng.shy 	| 0.6 	| 0.064 |
| Tatoeba-test.eng-sin.eng.sin 	| 5.4 	| 0.317 |
| Tatoeba-test.eng-sjn.eng.sjn 	| 0.3 	| 0.074 |
| Tatoeba-test.eng-slv.eng.slv 	| 12.8 	| 0.313 |
| Tatoeba-test.eng-sma.eng.sma 	| 0.8 	| 0.063 |
| Tatoeba-test.eng-sme.eng.sme 	| 13.2 	| 0.290 |
| Tatoeba-test.eng-smo.eng.smo 	| 12.1 	| 0.416 |
| Tatoeba-test.eng-sna.eng.sna 	| 27.1 	| 0.533 |
| Tatoeba-test.eng-snd.eng.snd 	| 6.0 	| 0.359 |
| Tatoeba-test.eng-som.eng.som 	| 16.0 	| 0.274 |
| Tatoeba-test.eng-spa.eng.spa 	| 36.7 	| 0.603 |
| Tatoeba-test.eng-sqi.eng.sqi 	| 32.3 	| 0.573 |
| Tatoeba-test.eng-stq.eng.stq 	| 0.6 	| 0.198 |
| Tatoeba-test.eng-sun.eng.sun 	| 39.0 	| 0.447 |
| Tatoeba-test.eng-swa.eng.swa 	| 1.1 	| 0.109 |
| Tatoeba-test.eng-swe.eng.swe 	| 42.7 	| 0.614 |
| Tatoeba-test.eng-swg.eng.swg 	| 0.6 	| 0.118 |
| Tatoeba-test.eng-tah.eng.tah 	| 12.4 	| 0.294 |
| Tatoeba-test.eng-tam.eng.tam 	| 5.0 	| 0.404 |
| Tatoeba-test.eng-tat.eng.tat 	| 9.9 	| 0.326 |
| Tatoeba-test.eng-tel.eng.tel 	| 4.7 	| 0.326 |
| Tatoeba-test.eng-tet.eng.tet 	| 0.7 	| 0.100 |
| Tatoeba-test.eng-tgk.eng.tgk 	| 5.5 	| 0.304 |
| Tatoeba-test.eng-tha.eng.tha 	| 2.2 	| 0.456 |
| Tatoeba-test.eng-tir.eng.tir 	| 1.5 	| 0.197 |
| Tatoeba-test.eng-tlh.eng.tlh 	| 0.0 	| 0.032 |
| Tatoeba-test.eng-tly.eng.tly 	| 0.3 	| 0.061 |
| Tatoeba-test.eng-toi.eng.toi 	| 8.3 	| 0.219 |
| Tatoeba-test.eng-ton.eng.ton 	| 32.7 	| 0.619 |
| Tatoeba-test.eng-tpw.eng.tpw 	| 1.4 	| 0.136 |
| Tatoeba-test.eng-tso.eng.tso 	| 9.6 	| 0.465 |
| Tatoeba-test.eng-tuk.eng.tuk 	| 9.4 	| 0.383 |
| Tatoeba-test.eng-tur.eng.tur 	| 24.1 	| 0.542 |
| Tatoeba-test.eng-tvl.eng.tvl 	| 8.9 	| 0.398 |
| Tatoeba-test.eng-tyv.eng.tyv 	| 10.4 	| 0.249 |
| Tatoeba-test.eng-tzl.eng.tzl 	| 0.2 	| 0.098 |
| Tatoeba-test.eng-udm.eng.udm 	| 6.5 	| 0.212 |
| Tatoeba-test.eng-uig.eng.uig 	| 2.1 	| 0.266 |
| Tatoeba-test.eng-ukr.eng.ukr 	| 24.3 	| 0.479 |
| Tatoeba-test.eng-umb.eng.umb 	| 4.4 	| 0.274 |
| Tatoeba-test.eng-urd.eng.urd 	| 8.6 	| 0.344 |
| Tatoeba-test.eng-uzb.eng.uzb 	| 6.9 	| 0.343 |
| Tatoeba-test.eng-vec.eng.vec 	| 1.0 	| 0.094 |
| Tatoeba-test.eng-vie.eng.vie 	| 23.2 	| 0.420 |
| Tatoeba-test.eng-vol.eng.vol 	| 0.3 	| 0.086 |
| Tatoeba-test.eng-war.eng.war 	| 11.4 	| 0.415 |
| Tatoeba-test.eng-wln.eng.wln 	| 8.4 	| 0.218 |
| Tatoeba-test.eng-wol.eng.wol 	| 11.5 	| 0.252 |
| Tatoeba-test.eng-xal.eng.xal 	| 0.1 	| 0.007 |
| Tatoeba-test.eng-xho.eng.xho 	| 19.5 	| 0.552 |
| Tatoeba-test.eng-yid.eng.yid 	| 4.0 	| 0.256 |
| Tatoeba-test.eng-yor.eng.yor 	| 8.8 	| 0.247 |
| Tatoeba-test.eng-zho.eng.zho 	| 21.8 	| 0.192 |
| Tatoeba-test.eng-zul.eng.zul 	| 34.3 	| 0.655 |
| Tatoeba-test.eng-zza.eng.zza 	| 0.5 	| 0.080 |


### System Info:


- hf_name: eng-mul
- source_languages: eng
- target_languages: mul
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-mul/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['en', 'ca', 'es', 'os', 'eo', 'ro', 'fy', 'cy', 'is', 'lb', 'su', 'an', 'sq', 'fr', 'ht', 'rm', 'cv', 'ig', 'am', 'eu', 'tr', 'ps', 'af', 'ny', 'ch', 'uk', 'sl', 'lt', 'tk', 'sg', 'ar', 'lg', 'bg', 'be', 'ka', 'gd', 'ja', 'si', 'br', 'mh', 'km', 'th', 'ty', 'rw', 'te', 'mk', 'or', 'wo', 'kl', 'mr', 'ru', 'yo', 'hu', 'fo', 'zh', 'ti', 'co', 'ee', 'oc', 'sn', 'mt', 'ts', 'pl', 'gl', 'nb', 'bn', 'tt', 'bo', 'lo', 'id', 'gn', 'nv', 'hy', 'kn', 'to', 'io', 'so', 'vi', 'da', 'fj', 'gv', 'sm', 'nl', 'mi', 'pt', 'hi', 'se', 'as', 'ta', 'et', 'kw', 'ga', 'sv', 'ln', 'na', 'mn', 'gu', 'wa', 'lv', 'jv', 'el', 'my', 'ba', 'it', 'hr', 'ur', 'ce', 'nn', 'fi', 'mg', 'rn', 'xh', 'ab', 'de', 'cs', 'he', 'zu', 'yi', 'ml', 'mul']
- src_constituents: {'eng'}
- tgt_constituents: {'sjn_Latn', 'cat', 'nan', 'spa', 'ile_Latn', 'pap', 'mwl', 'uzb_Latn', 'mww', 'hil', 'lij', 'avk_Latn', 'lad_Latn', 'lat_Latn', 'bos_Latn', 'oss', 'epo', 'ron', 'fry', 'cym', 'toi_Latn', 'awa', 'swg', 'zsm_Latn', 'zho_Hant', 'gcf_Latn', 'uzb_Cyrl', 'isl', 'lfn_Latn', 'shs_Latn', 'nov_Latn', 'bho', 'ltz', 'lzh', 'kur_Latn', 'sun', 'arg', 'pes_Thaa', 'sqi', 'uig_Arab', 'csb_Latn', 'fra', 'hat', 'liv_Latn', 'non_Latn', 'sco', 'cmn_Hans', 'pnb', 'roh', 'chv', 'ibo', 'bul_Latn', 'amh', 'lfn_Cyrl', 'eus', 'fkv_Latn', 'tur', 'pus', 'afr', 'brx_Latn', 'nya', 'acm', 'ota_Latn', 'cha', 'ukr', 'xal', 'slv', 'lit', 'zho_Hans', 'tmw_Latn', 'kjh', 'ota_Arab', 'war', 'tuk', 'sag', 'myv', 'hsb', 'lzh_Hans', 'ara', 'tly_Latn', 'lug', 'brx', 'bul', 'bel', 'vol_Latn', 'kat', 'gan', 'got_Goth', 'vro', 'ext', 'afh_Latn', 'gla', 'jpn', 'udm', 'mai', 'ary', 'sin', 'tvl', 'hif_Latn', 'cjy_Hant', 'bre', 'ceb', 'mah', 'nob_Hebr', 'crh_Latn', 'prg_Latn', 'khm', 'ang_Latn', 'tha', 'tah', 'tzl', 'aln', 'kin', 'tel', 'ady', 'mkd', 'ori', 'wol', 'aze_Latn', 'jbo', 'niu', 'kal', 'mar', 'vie_Hani', 'arz', 'yue', 'kha', 'san_Deva', 'jbo_Latn', 'gos', 'hau_Latn', 'rus', 'quc', 'cmn', 'yor', 'hun', 'uig_Cyrl', 'fao', 'mnw', 'zho', 'orv_Cyrl', 'iba', 'bel_Latn', 'tir', 'afb', 'crh', 'mic', 'cos', 'swh', 'sah', 'krl', 'ewe', 'apc', 'zza', 'chr', 'grc_Grek', 'tpw_Latn', 'oci', 'mfe', 'sna', 'kir_Cyrl', 'tat_Latn', 'gom', 'ido_Latn', 'sgs', 'pau', 'tgk_Cyrl', 'nog', 'mlt', 'pdc', 'tso', 'srp_Cyrl', 'pol', 'ast', 'glg', 'pms', 'fuc', 'nob', 'qya', 'ben', 'tat', 'kab', 'min', 'srp_Latn', 'wuu', 'dtp', 'jbo_Cyrl', 'tet', 'bod', 'yue_Hans', 'zlm_Latn', 'lao', 'ind', 'grn', 'nav', 'kaz_Cyrl', 'rom', 'hye', 'kan', 'ton', 'ido', 'mhr', 'scn', 'som', 'rif_Latn', 'vie', 'enm_Latn', 'lmo', 'npi', 'pes', 'dan', 'fij', 'ina_Latn', 'cjy_Hans', 'jdt_Cyrl', 'gsw', 'glv', 'khm_Latn', 'smo', 'umb', 'sma', 'gil', 'nld', 'snd_Arab', 'arq', 'mri', 'kur_Arab', 'por', 'hin', 'shy_Latn', 'sme', 'rap', 'tyv', 'dsb', 'moh', 'asm', 'lad', 'yue_Hant', 'kpv', 'tam', 'est', 'frm_Latn', 'hoc_Latn', 'bam_Latn', 'kek_Latn', 'ksh', 'tlh_Latn', 'ltg', 'pan_Guru', 'hnj_Latn', 'cor', 'gle', 'swe', 'lin', 'qya_Latn', 'kum', 'mad', 'cmn_Hant', 'fuv', 'nau', 'mon', 'akl_Latn', 'guj', 'kaz_Latn', 'wln', 'tuk_Latn', 'jav_Java', 'lav', 'jav', 'ell', 'frr', 'mya', 'bak', 'rue', 'ita', 'hrv', 'izh', 'ilo', 'dws_Latn', 'urd', 'stq', 'tat_Arab', 'haw', 'che', 'pag', 'nno', 'fin', 'mlg', 'ppl_Latn', 'run', 'xho', 'abk', 'deu', 'hoc', 'lkt', 'lld_Latn', 'tzl_Latn', 'mdf', 'ike_Latn', 'ces', 'ldn_Latn', 'egl', 'heb', 'vec', 'zul', 'max_Latn', 'pes_Latn', 'yid', 'mal', 'nds'}
- src_multilingual: False
- tgt_multilingual: True
- prepro:  normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-mul/opus2m-2020-08-01.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-mul/opus2m-2020-08-01.test.txt
- src_alpha3: eng
- tgt_alpha3: mul
- short_pair: en-mul
- chrF2_score: 0.451
- bleu: 22.4
- brevity_penalty: 0.987
- ref_len: 68724.0
- src_name: English
- tgt_name: Multiple languages
- train_date: 2020-08-01
- src_alpha2: en
- tgt_alpha2: mul
- prefer_old: False
- long_pair: eng-mul
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41


model name: opus-mt-en-mul


model author: Helsinki-NLP


task: translation


tags: pytorch, marian, text2text-generation, en, ca, es, os, eo, ro, fy, cy, is, lb, su, an, sq, fr, ht, rm, cv, ig, am, eu, tr, ps, af, ny, ch, uk, sl, lt, tk, sg, ar, lg, bg, be, ka, gd, ja, si, br, mh, km, th, ty, rw, te, mk, or, wo, kl, mr, ru, yo, hu, fo, zh, ti, co, ee, oc, sn, mt, ts, pl, gl, nb, bn, tt, bo, lo, id, gn, nv, hy, kn, to, io, so, vi, da, fj, gv, sm, nl, mi, pt, hi, se, as, ta, et, kw, ga, sv, ln, na, mn, gu, wa, lv, jv, el, my, ba, it, hr, ur, ce, nn, fi, mg, rn, xh, ab, de, cs, he, zu, yi, ml, mul, transformers, translation, license:apache-2.0, autonlp_compatible


tags:


- translation
license: apache-2.0


### opus-mt-sv-ig


* source languages: sv
* target languages: ig
* OPUS readme: [sv-ig](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/sv-ig/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/sv-ig/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-ig/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-ig/opus-2020-01-16.eval.txt)


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.sv.ig 	| 31.1 	| 0.479 |


model name: opus-mt-sv-ig


tags: pytorch, marian, text2text-generation, sv, ig, transformers, translation, license:apache-2.0, autonlp_compatible


language:


- az
- en


- translation


## license: apache-2.0


### aze-eng


* source group: Azerbaijani
* target group: English
* OPUS readme: [aze-eng](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/aze-eng/README.md)
* model: transformer-align
* source language(s): aze_Latn
* target language(s): eng
* model: transformer-align
* pre-processing: normalization + SentencePiece (spm12k,spm12k)
* download original weights: [opus-2020-06-16.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/aze-eng/opus-2020-06-16.zip)
* test set translations: [opus-2020-06-16.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/aze-eng/opus-2020-06-16.test.txt)
* test set scores: [opus-2020-06-16.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/aze-eng/opus-2020-06-16.eval.txt)


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.aze.eng 	| 31.9 	| 0.490 |


### System Info:


- hf_name: aze-eng
- source_languages: aze
- target_languages: eng
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/aze-eng/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['az', 'en']
- src_constituents: {'aze_Latn'}
- tgt_constituents: {'eng'}
- src_multilingual: False
- tgt_multilingual: False
- prepro:  normalization + SentencePiece (spm12k,spm12k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/aze-eng/opus-2020-06-16.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/aze-eng/opus-2020-06-16.test.txt
- src_alpha3: aze
- tgt_alpha3: eng
- short_pair: az-en
- chrF2_score: 0.49
- bleu: 31.9
- brevity_penalty: 0.997
- ref_len: 16165.0
- src_name: Azerbaijani
- tgt_name: English
- train_date: 2020-06-16
- src_alpha2: az
- tgt_alpha2: en
- prefer_old: False
- long_pair: aze-eng
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41


model name: opus-mt-az-en


model author: Helsinki-NLP


task: translation


tags: pytorch, marian, text2text-generation, az, en, transformers, translation, license:apache-2.0, autonlp_compatible


tags:


- translation
license: apache-2.0


### opus-mt-bcl-de


* source languages: bcl
* target languages: de
* OPUS readme: [bcl-de](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/bcl-de/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-20.zip](https://object.pouta.csc.fi/OPUS-MT-models/bcl-de/opus-2020-01-20.zip)
* test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/bcl-de/opus-2020-01-20.test.txt)
* test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/bcl-de/opus-2020-01-20.eval.txt)


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.bcl.de 	| 30.3 	| 0.510 |


model name: opus-mt-bcl-de


tags: pytorch, marian, text2text-generation, bcl, de, transformers, translation, license:apache-2.0, autonlp_compatible


language:


- en
- ur


- translation


## license: apache-2.0


### eng-urd


* source group: English
* target group: Urdu
* OPUS readme: [eng-urd](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-urd/README.md)
* model: transformer-align
* source language(s): eng
* target language(s): urd
* model: transformer-align
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* download original weights: [opus-2020-06-17.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-urd/opus-2020-06-17.zip)
* test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-urd/opus-2020-06-17.test.txt)
* test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-urd/opus-2020-06-17.eval.txt)


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.eng.urd 	| 12.1 	| 0.390 |


### System Info:


- hf_name: eng-urd
- source_languages: eng
- target_languages: urd
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-urd/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['en', 'ur']
- src_constituents: {'eng'}
- tgt_constituents: {'urd'}
- src_multilingual: False
- tgt_multilingual: False
- prepro:  normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-urd/opus-2020-06-17.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-urd/opus-2020-06-17.test.txt
- src_alpha3: eng
- tgt_alpha3: urd
- short_pair: en-ur
- chrF2_score: 0.39
- bleu: 12.1
- brevity_penalty: 1.0
- ref_len: 12155.0
- src_name: English
- tgt_name: Urdu
- train_date: 2020-06-17
- src_alpha2: en
- tgt_alpha2: ur
- prefer_old: False
- long_pair: eng-urd
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41


model name: opus-mt-en-ur


model author: Helsinki-NLP


task: translation


tags: pytorch, marian, text2text-generation, en, ur, transformers, translation, license:apache-2.0, autonlp_compatible


tags:


- translation
license: apache-2.0


### opus-mt-en-tdt


* source languages: en
* target languages: tdt
* OPUS readme: [en-tdt](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-tdt/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-08.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-tdt/opus-2020-01-08.zip)
* test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-tdt/opus-2020-01-08.test.txt)
* test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-tdt/opus-2020-01-08.eval.txt)


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.en.tdt 	| 23.8 	| 0.416 |


model name: opus-mt-en-tdt


tags: pytorch, marian, text2text-generation, en, tdt, transformers, translation, license:apache-2.0, autonlp_compatible


### opus-mt-fr-ilo


* source languages: fr
* target languages: ilo
* OPUS readme: [fr-ilo](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-ilo/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-20.zip](https://object.pouta.csc.fi/OPUS-MT-models/fr-ilo/opus-2020-01-20.zip)
* test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-ilo/opus-2020-01-20.test.txt)
* test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-ilo/opus-2020-01-20.eval.txt)


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.fr.ilo 	| 30.6 	| 0.528 |


model name: opus-mt-fr-ilo


tags: pytorch, marian, text2text-generation, fr, ilo, transformers, translation, license:apache-2.0, autonlp_compatible


### opus-mt-mr-en


* source languages: mr
* target languages: en
* OPUS readme: [mr-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/mr-en/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2019-12-18.zip](https://object.pouta.csc.fi/OPUS-MT-models/mr-en/opus-2019-12-18.zip)
* test set translations: [opus-2019-12-18.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/mr-en/opus-2019-12-18.test.txt)
* test set scores: [opus-2019-12-18.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/mr-en/opus-2019-12-18.eval.txt)


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba.mr.en 	| 38.2 	| 0.515 |


model name: opus-mt-mr-en


model author: Helsinki-NLP


task: translation


tags: pytorch, marian, text2text-generation, mr, en, transformers, translation, license:apache-2.0, autonlp_compatible


tags:


- translation
license: apache-2.0


### opus-mt-fr-ny


* source languages: fr
* target languages: ny
* OPUS readme: [fr-ny](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-ny/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-20.zip](https://object.pouta.csc.fi/OPUS-MT-models/fr-ny/opus-2020-01-20.zip)
* test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-ny/opus-2020-01-20.test.txt)
* test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-ny/opus-2020-01-20.eval.txt)


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.fr.ny 	| 23.2 	| 0.481 |


model name: opus-mt-fr-ny


tags: pytorch, marian, text2text-generation, fr, ny, transformers, translation, license:apache-2.0, autonlp_compatible


### opus-mt-pon-fi


* source languages: pon
* target languages: fi
* OPUS readme: [pon-fi](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/pon-fi/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/pon-fi/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/pon-fi/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/pon-fi/opus-2020-01-16.eval.txt)


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.pon.fi 	| 22.2 	| 0.434 |


model name: opus-mt-pon-fi


tags: pytorch, marian, text2text-generation, pon, fi, transformers, translation, license:apache-2.0, autonlp_compatible


### opus-mt-lua-es


* source languages: lua
* target languages: es
* OPUS readme: [lua-es](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/lua-es/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/lua-es/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/lua-es/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/lua-es/opus-2020-01-16.eval.txt)


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.lua.es 	| 23.1 	| 0.409 |


model name: opus-mt-lua-es


model author: Helsinki-NLP


task: translation


tags: pytorch, marian, text2text-generation, lua, es, transformers, translation, license:apache-2.0, autonlp_compatible


language:


- en
- hy


tags:


- translation


## license: apache-2.0


### eng-hye


* source group: English
* target group: Armenian
* OPUS readme: [eng-hye](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-hye/README.md)
* model: transformer-align
* source language(s): eng
* target language(s): hye
* model: transformer-align
* pre-processing: normalization + SentencePiece (spm4k,spm4k)
* download original weights: [opus-2020-06-16.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-hye/opus-2020-06-16.zip)
* test set translations: [opus-2020-06-16.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-hye/opus-2020-06-16.test.txt)
* test set scores: [opus-2020-06-16.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-hye/opus-2020-06-16.eval.txt)


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.eng.hye 	| 16.6 	| 0.404 |


### System Info:


- hf_name: eng-hye
- source_languages: eng
- target_languages: hye
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-hye/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['en', 'hy']
- src_constituents: {'eng'}
- tgt_constituents: {'hye', 'hye_Latn'}
- src_multilingual: False
- tgt_multilingual: False
- prepro:  normalization + SentencePiece (spm4k,spm4k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-hye/opus-2020-06-16.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-hye/opus-2020-06-16.test.txt
- src_alpha3: eng
- tgt_alpha3: hye
- short_pair: en-hy
- chrF2_score: 0.40399999999999997
- bleu: 16.6
- brevity_penalty: 1.0
- ref_len: 5115.0
- src_name: English
- tgt_name: Armenian
- train_date: 2020-06-16
- src_alpha2: en
- tgt_alpha2: hy
- prefer_old: False
- long_pair: eng-hye
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41


model name: opus-mt-en-hy


tags: pytorch, marian, text2text-generation, en, hy, transformers, translation, license:apache-2.0, autonlp_compatible


- eo
- sv


### epo-swe


* source group: Esperanto
* target group: Swedish
* OPUS readme: [epo-swe](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/epo-swe/README.md)
* model: transformer-align
* source language(s): epo
* target language(s): swe
* model: transformer-align
* pre-processing: normalization + SentencePiece (spm4k,spm4k)
* download original weights: [opus-2020-06-16.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/epo-swe/opus-2020-06-16.zip)
* test set translations: [opus-2020-06-16.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/epo-swe/opus-2020-06-16.test.txt)
* test set scores: [opus-2020-06-16.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/epo-swe/opus-2020-06-16.eval.txt)


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.epo.swe 	| 29.5 	| 0.463 |


- hf_name: epo-swe
- source_languages: epo
- target_languages: swe
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/epo-swe/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['eo', 'sv']
- src_constituents: {'epo'}
- tgt_constituents: {'swe'}
- src_multilingual: False
- tgt_multilingual: False
- prepro:  normalization + SentencePiece (spm4k,spm4k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/epo-swe/opus-2020-06-16.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/epo-swe/opus-2020-06-16.test.txt
- src_alpha3: epo
- tgt_alpha3: swe
- short_pair: eo-sv
- chrF2_score: 0.46299999999999997
- bleu: 29.5
- brevity_penalty: 0.9640000000000001
- ref_len: 10977.0
- src_name: Esperanto
- tgt_name: Swedish
- train_date: 2020-06-16
- src_alpha2: eo
- tgt_alpha2: sv
- prefer_old: False
- long_pair: epo-swe
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41


model name: opus-mt-eo-sv


model author: Helsinki-NLP


task: translation


tags: pytorch, marian, text2text-generation, eo, sv, transformers, translation, license:apache-2.0, autonlp_compatible


tags:


- translation
license: apache-2.0


### opus-mt-fr-niu


* source languages: fr
* target languages: niu
* OPUS readme: [fr-niu](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-niu/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-09.zip](https://object.pouta.csc.fi/OPUS-MT-models/fr-niu/opus-2020-01-09.zip)
* test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-niu/opus-2020-01-09.test.txt)
* test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-niu/opus-2020-01-09.eval.txt)


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.fr.niu 	| 34.5 	| 0.537 |


model name: opus-mt-fr-niu


tags: pytorch, marian, text2text-generation, fr, niu, transformers, translation, license:apache-2.0, autonlp_compatible


language:


- uk
- cs


- translation


## license: apache-2.0


### ukr-ces


* source group: Ukrainian
* target group: Czech
* OPUS readme: [ukr-ces](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/ukr-ces/README.md)
* model: transformer-align
* source language(s): ukr
* target language(s): ces
* model: transformer-align
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* download original weights: [opus-2020-06-17.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/ukr-ces/opus-2020-06-17.zip)
* test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/ukr-ces/opus-2020-06-17.test.txt)
* test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/ukr-ces/opus-2020-06-17.eval.txt)


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.ukr.ces 	| 52.0 	| 0.686 |


### System Info:


- hf_name: ukr-ces
- source_languages: ukr
- target_languages: ces
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/ukr-ces/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['uk', 'cs']
- src_constituents: {'ukr'}
- tgt_constituents: {'ces'}
- src_multilingual: False
- tgt_multilingual: False
- prepro:  normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/ukr-ces/opus-2020-06-17.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/ukr-ces/opus-2020-06-17.test.txt
- src_alpha3: ukr
- tgt_alpha3: ces
- short_pair: uk-cs
- chrF2_score: 0.6859999999999999
- bleu: 52.0
- brevity_penalty: 0.993
- ref_len: 8550.0
- src_name: Ukrainian
- tgt_name: Czech
- train_date: 2020-06-17
- src_alpha2: uk
- tgt_alpha2: cs
- prefer_old: False
- long_pair: ukr-ces
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41


model name: opus-mt-uk-cs


model author: Helsinki-NLP


task: translation


tags: pytorch, marian, text2text-generation, uk, cs, transformers, translation, license:apache-2.0, autonlp_compatible


tags:


- translation
license: apache-2.0


### opus-mt-am-sv


* source languages: am
* target languages: sv
* OPUS readme: [am-sv](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/am-sv/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-08.zip](https://object.pouta.csc.fi/OPUS-MT-models/am-sv/opus-2020-01-08.zip)
* test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/am-sv/opus-2020-01-08.test.txt)
* test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/am-sv/opus-2020-01-08.eval.txt)


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.am.sv 	| 21.0 	| 0.377 |


model name: opus-mt-am-sv


tags: pytorch, marian, text2text-generation, am, sv, transformers, translation, license:apache-2.0, autonlp_compatible


### opus-mt-ja-en


* source languages: ja
* target languages: en
* OPUS readme: [ja-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/ja-en/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2019-12-18.zip](https://object.pouta.csc.fi/OPUS-MT-models/ja-en/opus-2019-12-18.zip)
* test set translations: [opus-2019-12-18.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/ja-en/opus-2019-12-18.test.txt)
* test set scores: [opus-2019-12-18.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/ja-en/opus-2019-12-18.eval.txt)


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba.ja.en 	| 41.7 	| 0.589 |


model name: opus-mt-ja-en


tags: pytorch, marian, text2text-generation, ja, en, transformers, translation, license:apache-2.0, autonlp_compatible


### opus-mt-srn-sv


* source languages: srn
* target languages: sv
* OPUS readme: [srn-sv](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/srn-sv/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/srn-sv/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/srn-sv/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/srn-sv/opus-2020-01-16.eval.txt)


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.srn.sv 	| 32.2 	| 0.500 |


model name: opus-mt-srn-sv


model author: Helsinki-NLP


task: translation


tags: pytorch, marian, text2text-generation, srn, sv, transformers, translation, license:apache-2.0, autonlp_compatible


tags:


- translation
license: apache-2.0


### opus-mt-en-ilo


* source languages: en
* target languages: ilo
* OPUS readme: [en-ilo](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-ilo/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2019-12-18.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-ilo/opus-2019-12-18.zip)
* test set translations: [opus-2019-12-18.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-ilo/opus-2019-12-18.test.txt)
* test set scores: [opus-2019-12-18.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-ilo/opus-2019-12-18.eval.txt)


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba.en.ilo 	| 33.2 	| 0.584 |


model name: opus-mt-en-ilo


tags: pytorch, marian, text2text-generation, en, ilo, transformers, translation, license:apache-2.0, autonlp_compatible


### opus-mt-chk-es


* source languages: chk
* target languages: es
* OPUS readme: [chk-es](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/chk-es/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-15.zip](https://object.pouta.csc.fi/OPUS-MT-models/chk-es/opus-2020-01-15.zip)
* test set translations: [opus-2020-01-15.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/chk-es/opus-2020-01-15.test.txt)
* test set scores: [opus-2020-01-15.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/chk-es/opus-2020-01-15.eval.txt)


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.chk.es 	| 20.8 	| 0.374 |


model name: opus-mt-chk-es


tags: pytorch, marian, text2text-generation, chk, es, transformers, translation, license:apache-2.0, autonlp_compatible


language:


- hu
- eo


- translation


## license: apache-2.0


### hun-epo


* source group: Hungarian
* target group: Esperanto
* OPUS readme: [hun-epo](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/hun-epo/README.md)
* model: transformer-align
* source language(s): hun
* target language(s): epo
* model: transformer-align
* pre-processing: normalization + SentencePiece (spm4k,spm4k)
* download original weights: [opus-2020-06-16.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/hun-epo/opus-2020-06-16.zip)
* test set translations: [opus-2020-06-16.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/hun-epo/opus-2020-06-16.test.txt)
* test set scores: [opus-2020-06-16.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/hun-epo/opus-2020-06-16.eval.txt)


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.hun.epo 	| 17.9 	| 0.378 |


### System Info:


- hf_name: hun-epo
- source_languages: hun
- target_languages: epo
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/hun-epo/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['hu', 'eo']
- src_constituents: {'hun'}
- tgt_constituents: {'epo'}
- src_multilingual: False
- tgt_multilingual: False
- prepro:  normalization + SentencePiece (spm4k,spm4k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/hun-epo/opus-2020-06-16.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/hun-epo/opus-2020-06-16.test.txt
- src_alpha3: hun
- tgt_alpha3: epo
- short_pair: hu-eo
- chrF2_score: 0.37799999999999995
- bleu: 17.9
- brevity_penalty: 0.934
- ref_len: 76005.0
- src_name: Hungarian
- tgt_name: Esperanto
- train_date: 2020-06-16
- src_alpha2: hu
- tgt_alpha2: eo
- prefer_old: False
- long_pair: hun-epo
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41


model name: opus-mt-hu-eo


model author: Helsinki-NLP


task: translation


tags: pytorch, marian, text2text-generation, hu, eo, transformers, translation, license:apache-2.0, autonlp_compatible


tags:


- translation
license: apache-2.0


### opus-mt-sk-fi


* source languages: sk
* target languages: fi
* OPUS readme: [sk-fi](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/sk-fi/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/sk-fi/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/sk-fi/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/sk-fi/opus-2020-01-16.eval.txt)


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.sk.fi 	| 27.6 	| 0.544 |


model name: opus-mt-sk-fi


tags: pytorch, marian, text2text-generation, sk, fi, transformers, translation, license:apache-2.0, autonlp_compatible


### opus-mt-fi-el


* source languages: fi
* target languages: el
* OPUS readme: [fi-el](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fi-el/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-08.zip](https://object.pouta.csc.fi/OPUS-MT-models/fi-el/opus-2020-01-08.zip)
* test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-el/opus-2020-01-08.test.txt)
* test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-el/opus-2020-01-08.eval.txt)


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.fi.el 	| 27.1 	| 0.490 |


model name: opus-mt-fi-el


tags: pytorch, marian, text2text-generation, fi, el, transformers, translation, license:apache-2.0, autonlp_compatible


### opus-mt-ceb-sv


* source languages: ceb
* target languages: sv
* OPUS readme: [ceb-sv](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/ceb-sv/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-08.zip](https://object.pouta.csc.fi/OPUS-MT-models/ceb-sv/opus-2020-01-08.zip)
* test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/ceb-sv/opus-2020-01-08.test.txt)
* test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/ceb-sv/opus-2020-01-08.eval.txt)


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.ceb.sv 	| 35.5 	| 0.552 |


model name: opus-mt-ceb-sv


model author: Helsinki-NLP


task: translation


tags: pytorch, marian, text2text-generation, ceb, sv, transformers, translation, license:apache-2.0, autonlp_compatible


tags:


- translation
license: apache-2.0


### opus-mt-lt-de


* source languages: lt
* target languages: de
* OPUS readme: [lt-de](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/lt-de/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-21.zip](https://object.pouta.csc.fi/OPUS-MT-models/lt-de/opus-2020-01-21.zip)
* test set translations: [opus-2020-01-21.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/lt-de/opus-2020-01-21.test.txt)
* test set scores: [opus-2020-01-21.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/lt-de/opus-2020-01-21.eval.txt)


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba.lt.de 	| 45.2 	| 0.640 |


model name: opus-mt-lt-de


tags: pytorch, marian, text2text-generation, lt, de, transformers, translation, license:apache-2.0, autonlp_compatible


### opus-mt-hu-sv


* source languages: hu
* target languages: sv
* OPUS readme: [hu-sv](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/hu-sv/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-26.zip](https://object.pouta.csc.fi/OPUS-MT-models/hu-sv/opus-2020-01-26.zip)
* test set translations: [opus-2020-01-26.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/hu-sv/opus-2020-01-26.test.txt)
* test set scores: [opus-2020-01-26.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/hu-sv/opus-2020-01-26.eval.txt)


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba.hu.sv 	| 52.6 	| 0.686 |


model name: opus-mt-hu-sv


tags: pytorch, marian, text2text-generation, hu, sv, transformers, translation, license:apache-2.0, autonlp_compatible


language:


- tr
- lt


- translation


## license: apache-2.0


### tur-lit


* source group: Turkish
* target group: Lithuanian
* OPUS readme: [tur-lit](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/tur-lit/README.md)
* model: transformer-align
* source language(s): tur
* target language(s): lit
* model: transformer-align
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* download original weights: [opus-2020-06-17.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/tur-lit/opus-2020-06-17.zip)
* test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/tur-lit/opus-2020-06-17.test.txt)
* test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/tur-lit/opus-2020-06-17.eval.txt)


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.tur.lit 	| 35.6 	| 0.631 |


### System Info:


- hf_name: tur-lit
- source_languages: tur
- target_languages: lit
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/tur-lit/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['tr', 'lt']
- src_constituents: {'tur'}
- tgt_constituents: {'lit'}
- src_multilingual: False
- tgt_multilingual: False
- prepro:  normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/tur-lit/opus-2020-06-17.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/tur-lit/opus-2020-06-17.test.txt
- src_alpha3: tur
- tgt_alpha3: lit
- short_pair: tr-lt
- chrF2_score: 0.631
- bleu: 35.6
- brevity_penalty: 0.9490000000000001
- ref_len: 8285.0
- src_name: Turkish
- tgt_name: Lithuanian
- train_date: 2020-06-17
- src_alpha2: tr
- tgt_alpha2: lt
- prefer_old: False
- long_pair: tur-lit
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41


model name: opus-mt-tr-lt


model author: Helsinki-NLP


task: translation


tags: pytorch, marian, text2text-generation, tr, lt, transformers, translation, license:apache-2.0, autonlp_compatible


tags:


- translation
license: apache-2.0


### opus-mt-en-cy


* source languages: en
* target languages: cy
* OPUS readme: [en-cy](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-cy/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2019-12-18.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-cy/opus-2019-12-18.zip)
* test set translations: [opus-2019-12-18.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-cy/opus-2019-12-18.test.txt)
* test set scores: [opus-2019-12-18.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-cy/opus-2019-12-18.eval.txt)


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba.en.cy 	| 25.3 	| 0.487 |


model name: opus-mt-en-cy


tags: pytorch, marian, text2text-generation, en, cy, transformers, translation, license:apache-2.0, autonlp_compatible


### opus-mt-kwy-fr


* source languages: kwy
* target languages: fr
* OPUS readme: [kwy-fr](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/kwy-fr/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-09.zip](https://object.pouta.csc.fi/OPUS-MT-models/kwy-fr/opus-2020-01-09.zip)
* test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/kwy-fr/opus-2020-01-09.test.txt)
* test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/kwy-fr/opus-2020-01-09.eval.txt)


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.kwy.fr 	| 20.6 	| 0.367 |


model name: opus-mt-kwy-fr


tags: pytorch, marian, text2text-generation, kwy, fr, transformers, translation, license:apache-2.0, autonlp_compatible


### opus-mt-da-fr


* source languages: da
* target languages: fr
* OPUS readme: [da-fr](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/da-fr/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-08.zip](https://object.pouta.csc.fi/OPUS-MT-models/da-fr/opus-2020-01-08.zip)
* test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/da-fr/opus-2020-01-08.test.txt)
* test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/da-fr/opus-2020-01-08.eval.txt)


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba.da.fr 	| 62.2 	| 0.751 |


model name: opus-mt-da-fr


model author: Helsinki-NLP


task: translation


tags: pytorch, marian, text2text-generation, da, fr, transformers, translation, license:apache-2.0, autonlp_compatible


tags:


- translation
license: apache-2.0


### opus-mt-fi-ny


* source languages: fi
* target languages: ny
* OPUS readme: [fi-ny](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fi-ny/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-20.zip](https://object.pouta.csc.fi/OPUS-MT-models/fi-ny/opus-2020-01-20.zip)
* test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-ny/opus-2020-01-20.test.txt)
* test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-ny/opus-2020-01-20.eval.txt)


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.fi.ny 	| 22.6 	| 0.503 |


model name: opus-mt-fi-ny


tags: pytorch, marian, text2text-generation, fi, ny, transformers, translation, license:apache-2.0, autonlp_compatible


language:


- en
- bn
- or
- gu
- mr
- ur
- hi
- as
- si
- inc


- translation


## license: apache-2.0


### eng-inc


* source group: English
* target group: Indic languages
* OPUS readme: [eng-inc](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-inc/README.md)
* model: transformer
* source language(s): eng
* target language(s): asm awa ben bho gom guj hif_Latn hin mai mar npi ori pan_Guru pnb rom san_Deva sin snd_Arab urd
* 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 original weights: [opus2m-2020-08-01.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-inc/opus2m-2020-08-01.zip)
* test set translations: [opus2m-2020-08-01.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-inc/opus2m-2020-08-01.test.txt)
* test set scores: [opus2m-2020-08-01.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-inc/opus2m-2020-08-01.eval.txt)


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| newsdev2014-enghin.eng.hin 	| 8.2 	| 0.342 |
| newsdev2019-engu-engguj.eng.guj 	| 6.5 	| 0.293 |
| newstest2014-hien-enghin.eng.hin 	| 11.4 	| 0.364 |
| newstest2019-engu-engguj.eng.guj 	| 7.2 	| 0.296 |
| Tatoeba-test.eng-asm.eng.asm 	| 2.7 	| 0.277 |
| Tatoeba-test.eng-awa.eng.awa 	| 0.5 	| 0.132 |
| Tatoeba-test.eng-ben.eng.ben 	| 16.7 	| 0.470 |
| Tatoeba-test.eng-bho.eng.bho 	| 4.3 	| 0.227 |
| Tatoeba-test.eng-guj.eng.guj 	| 17.5 	| 0.373 |
| Tatoeba-test.eng-hif.eng.hif 	| 0.6 	| 0.028 |
| Tatoeba-test.eng-hin.eng.hin 	| 17.7 	| 0.469 |
| Tatoeba-test.eng-kok.eng.kok 	| 1.7 	| 0.000 |
| Tatoeba-test.eng-lah.eng.lah 	| 0.3 	| 0.028 |
| Tatoeba-test.eng-mai.eng.mai 	| 15.6 	| 0.429 |
| Tatoeba-test.eng-mar.eng.mar 	| 21.3 	| 0.477 |
| Tatoeba-test.eng.multi 	| 17.3 	| 0.448 |
| Tatoeba-test.eng-nep.eng.nep 	| 0.8 	| 0.081 |
| Tatoeba-test.eng-ori.eng.ori 	| 2.2 	| 0.208 |
| Tatoeba-test.eng-pan.eng.pan 	| 8.0 	| 0.347 |
| Tatoeba-test.eng-rom.eng.rom 	| 0.4 	| 0.197 |
| Tatoeba-test.eng-san.eng.san 	| 0.5 	| 0.108 |
| Tatoeba-test.eng-sin.eng.sin 	| 9.1 	| 0.364 |
| Tatoeba-test.eng-snd.eng.snd 	| 4.4 	| 0.284 |
| Tatoeba-test.eng-urd.eng.urd 	| 13.3 	| 0.423 |


### System Info:


- hf_name: eng-inc
- source_languages: eng
- target_languages: inc
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-inc/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['en', 'bn', 'or', 'gu', 'mr', 'ur', 'hi', 'as', 'si', 'inc']
- src_constituents: {'eng'}
- tgt_constituents: {'pnb', 'gom', 'ben', 'hif_Latn', 'ori', 'guj', 'pan_Guru', 'snd_Arab', 'npi', 'mar', 'urd', 'bho', 'hin', 'san_Deva', 'asm', 'rom', 'mai', 'awa', 'sin'}
- src_multilingual: False
- tgt_multilingual: True
- prepro:  normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-inc/opus2m-2020-08-01.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-inc/opus2m-2020-08-01.test.txt
- src_alpha3: eng
- tgt_alpha3: inc
- short_pair: en-inc
- chrF2_score: 0.44799999999999995
- bleu: 17.3
- brevity_penalty: 1.0
- ref_len: 59917.0
- src_name: English
- tgt_name: Indic languages
- train_date: 2020-08-01
- src_alpha2: en
- tgt_alpha2: inc
- prefer_old: False
- long_pair: eng-inc
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41


model name: opus-mt-en-inc


model author: Helsinki-NLP


task: translation


tags: pytorch, marian, text2text-generation, en, bn, or, gu, mr, ur, hi, as, si, inc, transformers, translation, license:apache-2.0, autonlp_compatible


- uk
- ru


tags:


### ukr-rus


* source group: Ukrainian
* target group: Russian
* OPUS readme: [ukr-rus](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/ukr-rus/README.md)
* model: transformer-align
* source language(s): ukr
* target language(s): rus
* model: transformer-align
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* download original weights: [opus-2020-06-17.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/ukr-rus/opus-2020-06-17.zip)
* test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/ukr-rus/opus-2020-06-17.test.txt)
* test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/ukr-rus/opus-2020-06-17.eval.txt)


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.ukr.rus 	| 69.2 	| 0.826 |


- hf_name: ukr-rus
- source_languages: ukr
- target_languages: rus
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/ukr-rus/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['uk', 'ru']
- src_constituents: {'ukr'}
- tgt_constituents: {'rus'}
- src_multilingual: False
- tgt_multilingual: False
- prepro:  normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/ukr-rus/opus-2020-06-17.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/ukr-rus/opus-2020-06-17.test.txt
- src_alpha3: ukr
- tgt_alpha3: rus
- short_pair: uk-ru
- chrF2_score: 0.826
- bleu: 69.2
- brevity_penalty: 0.992
- ref_len: 60387.0
- src_name: Ukrainian
- tgt_name: Russian
- train_date: 2020-06-17
- src_alpha2: uk
- tgt_alpha2: ru
- prefer_old: False
- long_pair: ukr-rus
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41


model name: opus-mt-uk-ru


tags: pytorch, marian, text2text-generation, uk, ru, transformers, translation, license:apache-2.0, autonlp_compatible


- translation
license: apache-2.0


### opus-mt-fr-en


* source languages: fr
* target languages: en
* OPUS readme: [fr-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-en/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-02-26.zip](https://object.pouta.csc.fi/OPUS-MT-models/fr-en/opus-2020-02-26.zip)
* test set translations: [opus-2020-02-26.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-en/opus-2020-02-26.test.txt)
* test set scores: [opus-2020-02-26.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-en/opus-2020-02-26.eval.txt)


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| newsdiscussdev2015-enfr.fr.en 	| 33.1 	| 0.580 |
| newsdiscusstest2015-enfr.fr.en 	| 38.7 	| 0.614 |
| newssyscomb2009.fr.en 	| 30.3 	| 0.569 |
| news-test2008.fr.en 	| 26.2 	| 0.542 |
| newstest2009.fr.en 	| 30.2 	| 0.570 |
| newstest2010.fr.en 	| 32.2 	| 0.590 |
| newstest2011.fr.en 	| 33.0 	| 0.597 |
| newstest2012.fr.en 	| 32.8 	| 0.591 |
| newstest2013.fr.en 	| 33.9 	| 0.591 |
| newstest2014-fren.fr.en 	| 37.8 	| 0.633 |
| Tatoeba.fr.en 	| 57.5 	| 0.720 |


model name: opus-mt-fr-en


model author: Helsinki-NLP


task: translation


tags: pytorch, jax, marian, text2text-generation, fr, en, transformers, translation, license:apache-2.0, autonlp_compatible


language:


- eo
- it


tags:


- translation


## license: apache-2.0


### epo-ita


* source group: Esperanto
* target group: Italian
* OPUS readme: [epo-ita](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/epo-ita/README.md)
* model: transformer-align
* source language(s): epo
* target language(s): ita
* model: transformer-align
* pre-processing: normalization + SentencePiece (spm4k,spm4k)
* download original weights: [opus-2020-06-16.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/epo-ita/opus-2020-06-16.zip)
* test set translations: [opus-2020-06-16.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/epo-ita/opus-2020-06-16.test.txt)
* test set scores: [opus-2020-06-16.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/epo-ita/opus-2020-06-16.eval.txt)


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.epo.ita 	| 23.8 	| 0.465 |


### System Info:


- hf_name: epo-ita
- source_languages: epo
- target_languages: ita
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/epo-ita/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['eo', 'it']
- src_constituents: {'epo'}
- tgt_constituents: {'ita'}
- src_multilingual: False
- tgt_multilingual: False
- prepro:  normalization + SentencePiece (spm4k,spm4k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/epo-ita/opus-2020-06-16.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/epo-ita/opus-2020-06-16.test.txt
- src_alpha3: epo
- tgt_alpha3: ita
- short_pair: eo-it
- chrF2_score: 0.465
- bleu: 23.8
- brevity_penalty: 0.9420000000000001
- ref_len: 67118.0
- src_name: Esperanto
- tgt_name: Italian
- train_date: 2020-06-16
- src_alpha2: eo
- tgt_alpha2: it
- prefer_old: False
- long_pair: epo-ita
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41


model name: opus-mt-eo-it


tags: pytorch, marian, text2text-generation, eo, it, transformers, translation, license:apache-2.0, autonlp_compatible


- translation
license: apache-2.0


### opus-mt-prl-es


* source languages: prl
* target languages: es
* OPUS readme: [prl-es](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/prl-es/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/prl-es/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/prl-es/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/prl-es/opus-2020-01-16.eval.txt)


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.prl.es 	| 93.3 	| 0.955 |


model name: opus-mt-prl-es


model author: Helsinki-NLP


task: translation


tags: pytorch, marian, text2text-generation, prl, es, transformers, translation, license:apache-2.0, autonlp_compatible


tags:


### opus-mt-fr-hr


* source languages: fr
* target languages: hr
* OPUS readme: [fr-hr](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-hr/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/fr-hr/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-hr/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-hr/opus-2020-01-16.eval.txt)


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.fr.hr 	| 20.7 	| 0.442 |


model name: opus-mt-fr-hr


tags: pytorch, marian, text2text-generation, fr, hr, transformers, translation, license:apache-2.0, autonlp_compatible


language:


- pl
- cs
- zlw


- translation


## license: apache-2.0


### zlw-zlw


* source group: West Slavic languages
* target group: West Slavic languages
* OPUS readme: [zlw-zlw](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/zlw-zlw/README.md)
* model: transformer
* source language(s): ces dsb hsb pol
* target language(s): ces dsb hsb pol
* 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 original weights: [opus-2020-07-27.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/zlw-zlw/opus-2020-07-27.zip)
* test set translations: [opus-2020-07-27.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/zlw-zlw/opus-2020-07-27.test.txt)
* test set scores: [opus-2020-07-27.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/zlw-zlw/opus-2020-07-27.eval.txt)


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.ces-hsb.ces.hsb 	| 2.6 	| 0.167 |
| Tatoeba-test.ces-pol.ces.pol 	| 44.0 	| 0.649 |
| Tatoeba-test.dsb-pol.dsb.pol 	| 8.5 	| 0.250 |
| Tatoeba-test.hsb-ces.hsb.ces 	| 9.6 	| 0.276 |
| Tatoeba-test.multi.multi 	| 38.8 	| 0.580 |
| Tatoeba-test.pol-ces.pol.ces 	| 43.4 	| 0.620 |
| Tatoeba-test.pol-dsb.pol.dsb 	| 2.1 	| 0.159 |


### System Info:


- hf_name: zlw-zlw
- source_languages: zlw
- target_languages: zlw
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/zlw-zlw/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['pl', 'cs', 'zlw']
- src_constituents: {'csb_Latn', 'dsb', 'hsb', 'pol', 'ces'}
- tgt_constituents: {'csb_Latn', 'dsb', 'hsb', 'pol', 'ces'}
- src_multilingual: True
- tgt_multilingual: True
- prepro:  normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/zlw-zlw/opus-2020-07-27.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/zlw-zlw/opus-2020-07-27.test.txt
- src_alpha3: zlw
- tgt_alpha3: zlw
- short_pair: zlw-zlw
- chrF2_score: 0.58
- bleu: 38.8
- brevity_penalty: 0.99
- ref_len: 7792.0
- src_name: West Slavic languages
- tgt_name: West Slavic languages
- train_date: 2020-07-27
- src_alpha2: zlw
- tgt_alpha2: zlw
- prefer_old: False
- long_pair: zlw-zlw
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41


model name: opus-mt-zlw-zlw


model author: Helsinki-NLP


task: translation


tags: pytorch, marian, text2text-generation, pl, cs, zlw, transformers, translation, license:apache-2.0, autonlp_compatible


tags:


- translation
license: apache-2.0


### opus-mt-en-jap


* source languages: en
* target languages: jap
* OPUS readme: [en-jap](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-jap/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-08.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-jap/opus-2020-01-08.zip)
* test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-jap/opus-2020-01-08.test.txt)
* test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-jap/opus-2020-01-08.eval.txt)


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| bible-uedin.en.jap 	| 42.1 	| 0.960 |


model name: opus-mt-en-jap


tags: pytorch, marian, text2text-generation, en, jap, transformers, translation, license:apache-2.0, autonlp_compatible


language:


- en
- eu


- translation


## license: apache-2.0


### eng-eus


* source group: English
* target group: Basque
* OPUS readme: [eng-eus](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-eus/README.md)
* model: transformer-align
* source language(s): eng
* target language(s): eus
* model: transformer-align
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* download original weights: [opus-2020-06-17.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-eus/opus-2020-06-17.zip)
* test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-eus/opus-2020-06-17.test.txt)
* test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-eus/opus-2020-06-17.eval.txt)


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.eng.eus 	| 31.8 	| 0.590 |


### System Info:


- hf_name: eng-eus
- source_languages: eng
- target_languages: eus
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-eus/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['en', 'eu']
- src_constituents: {'eng'}
- tgt_constituents: {'eus'}
- src_multilingual: False
- tgt_multilingual: False
- prepro:  normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-eus/opus-2020-06-17.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-eus/opus-2020-06-17.test.txt
- src_alpha3: eng
- tgt_alpha3: eus
- short_pair: en-eu
- chrF2_score: 0.59
- bleu: 31.8
- brevity_penalty: 0.9440000000000001
- ref_len: 7080.0
- src_name: English
- tgt_name: Basque
- train_date: 2020-06-17
- src_alpha2: en
- tgt_alpha2: eu
- prefer_old: False
- long_pair: eng-eus
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41


model name: opus-mt-en-eu


model author: Helsinki-NLP


task: translation


tags: pytorch, marian, text2text-generation, en, eu, transformers, translation, license:apache-2.0, autonlp_compatible


tags:


- translation
license: apache-2.0


### opus-mt-nl-fi


* source languages: nl
* target languages: fi
* OPUS readme: [nl-fi](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/nl-fi/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-02-26.zip](https://object.pouta.csc.fi/OPUS-MT-models/nl-fi/opus-2020-02-26.zip)
* test set translations: [opus-2020-02-26.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/nl-fi/opus-2020-02-26.test.txt)
* test set scores: [opus-2020-02-26.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/nl-fi/opus-2020-02-26.eval.txt)


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.nl.fi 	| 28.6 	| 0.569 |


model name: opus-mt-nl-fi


tags: pytorch, marian, text2text-generation, nl, fi, transformers, translation, license:apache-2.0, autonlp_compatible


### opus-mt-id-fi


* source languages: id
* target languages: fi
* OPUS readme: [id-fi](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/id-fi/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-09.zip](https://object.pouta.csc.fi/OPUS-MT-models/id-fi/opus-2020-01-09.zip)
* test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/id-fi/opus-2020-01-09.test.txt)
* test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/id-fi/opus-2020-01-09.eval.txt)


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.id.fi 	| 27.4 	| 0.522 |


model name: opus-mt-id-fi


tags: pytorch, marian, text2text-generation, id, fi, transformers, translation, license:apache-2.0, autonlp_compatible


### opus-mt-lu-fi


* source languages: lu
* target languages: fi
* OPUS readme: [lu-fi](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/lu-fi/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-09.zip](https://object.pouta.csc.fi/OPUS-MT-models/lu-fi/opus-2020-01-09.zip)
* test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/lu-fi/opus-2020-01-09.test.txt)
* test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/lu-fi/opus-2020-01-09.eval.txt)


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.lu.fi 	| 21.4 	| 0.442 |


model name: opus-mt-lu-fi


model author: Helsinki-NLP


task: translation


tags: pytorch, marian, text2text-generation, lu, fi, transformers, translation, license:apache-2.0, autonlp_compatible


tags:


- translation
license: apache-2.0


### opus-mt-nso-fr


* source languages: nso
* target languages: fr
* OPUS readme: [nso-fr](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/nso-fr/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/nso-fr/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/nso-fr/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/nso-fr/opus-2020-01-16.eval.txt)


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.nso.fr 	| 30.7 	| 0.488 |


model name: opus-mt-nso-fr


tags: pytorch, marian, text2text-generation, nso, fr, transformers, translation, license:apache-2.0, autonlp_compatible


### opus-mt-fr-bzs


* source languages: fr
* target languages: bzs
* OPUS readme: [fr-bzs](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-bzs/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-09.zip](https://object.pouta.csc.fi/OPUS-MT-models/fr-bzs/opus-2020-01-09.zip)
* test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-bzs/opus-2020-01-09.test.txt)
* test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-bzs/opus-2020-01-09.eval.txt)


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.fr.bzs 	| 30.2 	| 0.477 |


model name: opus-mt-fr-bzs


tags: pytorch, marian, text2text-generation, fr, bzs, transformers, translation, license:apache-2.0, autonlp_compatible


language:


- es
- bg


- translation


## license: apache-2.0


### spa-bul


* source group: Spanish
* target group: Bulgarian
* OPUS readme: [spa-bul](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/spa-bul/README.md)
* model: transformer
* source language(s): spa
* target language(s): bul
* model: transformer
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* download original weights: [opus-2020-07-03.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/spa-bul/opus-2020-07-03.zip)
* test set translations: [opus-2020-07-03.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/spa-bul/opus-2020-07-03.test.txt)
* test set scores: [opus-2020-07-03.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/spa-bul/opus-2020-07-03.eval.txt)


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.spa.bul 	| 50.9 	| 0.674 |


### System Info:


- hf_name: spa-bul
- source_languages: spa
- target_languages: bul
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/spa-bul/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['es', 'bg']
- src_constituents: {'spa'}
- tgt_constituents: {'bul', 'bul_Latn'}
- src_multilingual: False
- tgt_multilingual: False
- prepro:  normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/spa-bul/opus-2020-07-03.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/spa-bul/opus-2020-07-03.test.txt
- src_alpha3: spa
- tgt_alpha3: bul
- short_pair: es-bg
- chrF2_score: 0.674
- bleu: 50.9
- brevity_penalty: 0.955
- ref_len: 1707.0
- src_name: Spanish
- tgt_name: Bulgarian
- train_date: 2020-07-03
- src_alpha2: es
- tgt_alpha2: bg
- prefer_old: False
- long_pair: spa-bul
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41


model name: opus-mt-es-bg


model author: Helsinki-NLP


task: translation


tags: pytorch, marian, text2text-generation, es, bg, transformers, translation, license:apache-2.0, autonlp_compatible


tags:


- translation
license: apache-2.0


### opus-mt-iso-sv


* source languages: iso
* target languages: sv
* OPUS readme: [iso-sv](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/iso-sv/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-09.zip](https://object.pouta.csc.fi/OPUS-MT-models/iso-sv/opus-2020-01-09.zip)
* test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/iso-sv/opus-2020-01-09.test.txt)
* test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/iso-sv/opus-2020-01-09.eval.txt)


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.iso.sv 	| 25.0 	| 0.430 |


model name: opus-mt-iso-sv


tags: pytorch, marian, text2text-generation, iso, sv, transformers, translation, license:apache-2.0, autonlp_compatible


### opus-mt-es-yua


* source languages: es
* target languages: yua
* OPUS readme: [es-yua](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/es-yua/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/es-yua/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-yua/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-yua/opus-2020-01-16.eval.txt)


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.es.yua 	| 23.6 	| 0.471 |


model name: opus-mt-es-yua


tags: pytorch, marian, text2text-generation, es, yua, transformers, translation, license:apache-2.0, autonlp_compatible


language:


- it
- ca


- translation


## license: apache-2.0


### ita-cat


* source group: Italian
* target group: Catalan
* OPUS readme: [ita-cat](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/ita-cat/README.md)
* model: transformer-align
* source language(s): ita
* target language(s): cat
* model: transformer-align
* pre-processing: normalization + SentencePiece (spm12k,spm12k)
* download original weights: [opus-2020-06-16.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/ita-cat/opus-2020-06-16.zip)
* test set translations: [opus-2020-06-16.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/ita-cat/opus-2020-06-16.test.txt)
* test set scores: [opus-2020-06-16.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/ita-cat/opus-2020-06-16.eval.txt)


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.ita.cat 	| 52.5 	| 0.706 |


### System Info:


- hf_name: ita-cat
- source_languages: ita
- target_languages: cat
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/ita-cat/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['it', 'ca']
- src_constituents: {'ita'}
- tgt_constituents: {'cat'}
- src_multilingual: False
- tgt_multilingual: False
- prepro:  normalization + SentencePiece (spm12k,spm12k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/ita-cat/opus-2020-06-16.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/ita-cat/opus-2020-06-16.test.txt
- src_alpha3: ita
- tgt_alpha3: cat
- short_pair: it-ca
- chrF2_score: 0.706
- bleu: 52.5
- brevity_penalty: 0.993
- ref_len: 2074.0
- src_name: Italian
- tgt_name: Catalan
- train_date: 2020-06-16
- src_alpha2: it
- tgt_alpha2: ca
- prefer_old: False
- long_pair: ita-cat
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41


model name: opus-mt-it-ca


model author: Helsinki-NLP


task: translation


tags: pytorch, marian, text2text-generation, it, ca, transformers, translation, license:apache-2.0, autonlp_compatible


tags:


- translation
license: apache-2.0


### opus-mt-it-de


* source languages: it
* target languages: de
* OPUS readme: [it-de](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/it-de/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-20.zip](https://object.pouta.csc.fi/OPUS-MT-models/it-de/opus-2020-01-20.zip)
* test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/it-de/opus-2020-01-20.test.txt)
* test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/it-de/opus-2020-01-20.eval.txt)


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba.it.de 	| 49.4 	| 0.678 |


model name: opus-mt-it-de


tags: pytorch, marian, text2text-generation, it, de, transformers, translation, license:apache-2.0, autonlp_compatible


### opus-mt-en-mh


* source languages: en
* target languages: mh
* OPUS readme: [en-mh](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-mh/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-08.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-mh/opus-2020-01-08.zip)
* test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-mh/opus-2020-01-08.test.txt)
* test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-mh/opus-2020-01-08.eval.txt)


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.en.mh 	| 29.7 	| 0.479 |


model name: opus-mt-en-mh


tags: pytorch, marian, text2text-generation, en, mh, transformers, translation, license:apache-2.0, autonlp_compatible


language:


- en
- ar


- translation


## license: apache-2.0


### eng-ara


* source group: English
* target group: Arabic
* OPUS readme: [eng-ara](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-ara/README.md)
* model: transformer
* source language(s): eng
* target language(s): acm afb apc apc_Latn ara ara_Latn arq arq_Latn ary arz
* 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 original weights: [opus-2020-07-03.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-ara/opus-2020-07-03.zip)
* test set translations: [opus-2020-07-03.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-ara/opus-2020-07-03.test.txt)
* test set scores: [opus-2020-07-03.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-ara/opus-2020-07-03.eval.txt)


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.eng.ara 	| 14.0 	| 0.437 |


### System Info:


- hf_name: eng-ara
- source_languages: eng
- target_languages: ara
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-ara/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['en', 'ar']
- src_constituents: {'eng'}
- tgt_constituents: {'apc', 'ara', 'arq_Latn', 'arq', 'afb', 'ara_Latn', 'apc_Latn', 'arz'}
- src_multilingual: False
- tgt_multilingual: False
- prepro:  normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-ara/opus-2020-07-03.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-ara/opus-2020-07-03.test.txt
- src_alpha3: eng
- tgt_alpha3: ara
- short_pair: en-ar
- chrF2_score: 0.43700000000000006
- bleu: 14.0
- brevity_penalty: 1.0
- ref_len: 58935.0
- src_name: English
- tgt_name: Arabic
- train_date: 2020-07-03
- src_alpha2: en
- tgt_alpha2: ar
- prefer_old: False
- long_pair: eng-ara
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41


model name: opus-mt-en-ar


model author: Helsinki-NLP


task: translation


tags: pytorch, rust, marian, text2text-generation, en, ar, transformers, translation, license:apache-2.0, autonlp_compatible


tags:


- translation
license: apache-2.0


### opus-mt-loz-de


* source languages: loz
* target languages: de
* OPUS readme: [loz-de](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/loz-de/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-21.zip](https://object.pouta.csc.fi/OPUS-MT-models/loz-de/opus-2020-01-21.zip)
* test set translations: [opus-2020-01-21.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/loz-de/opus-2020-01-21.test.txt)
* test set scores: [opus-2020-01-21.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/loz-de/opus-2020-01-21.eval.txt)


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.loz.de 	| 24.3 	| 0.438 |


model name: opus-mt-loz-de


tags: pytorch, marian, text2text-generation, loz, de, transformers, translation, license:apache-2.0, autonlp_compatible


language:


- nl
- en
- lb
- af
- de
- fy
- yi
- gmw


- translation


## license: apache-2.0


### gmw-eng


* source group: West Germanic languages
* target group: English
* OPUS readme: [gmw-eng](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/gmw-eng/README.md)
* model: transformer
* source language(s): afr ang_Latn deu enm_Latn frr fry gos gsw ksh ltz nds nld pdc sco stq swg yid
* target language(s): eng
* model: transformer
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* download original weights: [opus2m-2020-08-01.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/gmw-eng/opus2m-2020-08-01.zip)
* test set translations: [opus2m-2020-08-01.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/gmw-eng/opus2m-2020-08-01.test.txt)
* test set scores: [opus2m-2020-08-01.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/gmw-eng/opus2m-2020-08-01.eval.txt)


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| newssyscomb2009-deueng.deu.eng 	| 27.2 	| 0.538 |
| news-test2008-deueng.deu.eng 	| 25.7 	| 0.534 |
| newstest2009-deueng.deu.eng 	| 25.1 	| 0.530 |
| newstest2010-deueng.deu.eng 	| 27.9 	| 0.565 |
| newstest2011-deueng.deu.eng 	| 25.3 	| 0.539 |
| newstest2012-deueng.deu.eng 	| 26.6 	| 0.548 |
| newstest2013-deueng.deu.eng 	| 29.6 	| 0.565 |
| newstest2014-deen-deueng.deu.eng 	| 30.2 	| 0.571 |
| newstest2015-ende-deueng.deu.eng 	| 31.5 	| 0.577 |
| newstest2016-ende-deueng.deu.eng 	| 36.7 	| 0.622 |
| newstest2017-ende-deueng.deu.eng 	| 32.3 	| 0.585 |
| newstest2018-ende-deueng.deu.eng 	| 39.9 	| 0.638 |
| newstest2019-deen-deueng.deu.eng 	| 35.9 	| 0.611 |
| Tatoeba-test.afr-eng.afr.eng 	| 61.8 	| 0.750 |
| Tatoeba-test.ang-eng.ang.eng 	| 7.3 	| 0.220 |
| Tatoeba-test.deu-eng.deu.eng 	| 48.3 	| 0.657 |
| Tatoeba-test.enm-eng.enm.eng 	| 16.1 	| 0.423 |
| Tatoeba-test.frr-eng.frr.eng 	| 7.0 	| 0.168 |
| Tatoeba-test.fry-eng.fry.eng 	| 28.6 	| 0.488 |
| Tatoeba-test.gos-eng.gos.eng 	| 15.5 	| 0.326 |
| Tatoeba-test.gsw-eng.gsw.eng 	| 12.7 	| 0.308 |
| Tatoeba-test.ksh-eng.ksh.eng 	| 8.4 	| 0.254 |
| Tatoeba-test.ltz-eng.ltz.eng 	| 28.7 	| 0.453 |
| Tatoeba-test.multi.eng 	| 48.5 	| 0.646 |
| Tatoeba-test.nds-eng.nds.eng 	| 31.4 	| 0.509 |
| Tatoeba-test.nld-eng.nld.eng 	| 58.1 	| 0.728 |
| Tatoeba-test.pdc-eng.pdc.eng 	| 25.1 	| 0.406 |
| Tatoeba-test.sco-eng.sco.eng 	| 40.8 	| 0.570 |
| Tatoeba-test.stq-eng.stq.eng 	| 20.3 	| 0.380 |
| Tatoeba-test.swg-eng.swg.eng 	| 20.5 	| 0.315 |
| Tatoeba-test.yid-eng.yid.eng 	| 16.0 	| 0.366 |


### System Info:


- hf_name: gmw-eng
- source_languages: gmw
- target_languages: eng
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/gmw-eng/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['nl', 'en', 'lb', 'af', 'de', 'fy', 'yi', 'gmw']
- src_constituents: {'ksh', 'nld', 'eng', 'enm_Latn', 'ltz', 'stq', 'afr', 'pdc', 'deu', 'gos', 'ang_Latn', 'fry', 'gsw', 'frr', 'nds', 'yid', 'swg', 'sco'}
- tgt_constituents: {'eng'}
- src_multilingual: True
- tgt_multilingual: False
- prepro:  normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/gmw-eng/opus2m-2020-08-01.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/gmw-eng/opus2m-2020-08-01.test.txt
- src_alpha3: gmw
- tgt_alpha3: eng
- short_pair: gmw-en
- chrF2_score: 0.6459999999999999
- bleu: 48.5
- brevity_penalty: 0.997
- ref_len: 72584.0
- src_name: West Germanic languages
- tgt_name: English
- train_date: 2020-08-01
- src_alpha2: gmw
- tgt_alpha2: en
- prefer_old: False
- long_pair: gmw-eng
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41


model name: opus-mt-gmw-en


model author: Helsinki-NLP


task: translation


tags: pytorch, marian, text2text-generation, nl, en, lb, af, de, fy, yi, gmw, transformers, translation, license:apache-2.0, autonlp_compatible


tags:


- translation
license: apache-2.0


### opus-mt-fi-yo


* source languages: fi
* target languages: yo
* OPUS readme: [fi-yo](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fi-yo/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-24.zip](https://object.pouta.csc.fi/OPUS-MT-models/fi-yo/opus-2020-01-24.zip)
* test set translations: [opus-2020-01-24.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-yo/opus-2020-01-24.test.txt)
* test set scores: [opus-2020-01-24.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-yo/opus-2020-01-24.eval.txt)


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.fi.yo 	| 25.8 	| 0.427 |


model name: opus-mt-fi-yo


tags: pytorch, marian, text2text-generation, fi, yo, transformers, translation, license:apache-2.0, autonlp_compatible


### opus-mt-en-hu


* source languages: en
* target languages: hu
* OPUS readme: [en-hu](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-hu/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2019-12-18.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-hu/opus-2019-12-18.zip)
* test set translations: [opus-2019-12-18.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-hu/opus-2019-12-18.test.txt)
* test set scores: [opus-2019-12-18.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-hu/opus-2019-12-18.eval.txt)


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba.en.hu 	| 40.1 	| 0.628 |


model name: opus-mt-en-hu


tags: pytorch, marian, text2text-generation, en, hu, transformers, translation, license:apache-2.0, autonlp_compatible


### opus-mt-loz-fr


* source languages: loz
* target languages: fr
* OPUS readme: [loz-fr](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/loz-fr/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-09.zip](https://object.pouta.csc.fi/OPUS-MT-models/loz-fr/opus-2020-01-09.zip)
* test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/loz-fr/opus-2020-01-09.test.txt)
* test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/loz-fr/opus-2020-01-09.eval.txt)


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.loz.fr 	| 28.5 	| 0.462 |


model name: opus-mt-loz-fr


model author: Helsinki-NLP


task: translation


tags: pytorch, marian, text2text-generation, loz, fr, transformers, translation, license:apache-2.0, autonlp_compatible


language:


- it
- ca
- rm
- es
- ro
- gl
- co
- wa
- pt
- oc
- an
- id
- fr
- ht
- roa
- en


tags:


- translation


## license: apache-2.0


### roa-eng