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opus-mt-tc-bible-big-deu_eng_fra_por_spa-ine

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opus-mt-tc-bible-big-deu_eng_fra_por_spa-ine

Table of Contents

Model Details

Neural machine translation model for translating from unknown (deu+eng+fra+por+spa) to Indo-European languages (ine).

This model is part of the OPUS-MT project, an effort to make neural machine translation models widely available and accessible for many languages in the world. All models are originally trained using the amazing framework of Marian NMT, an efficient NMT implementation written in pure C++. The models have been converted to pyTorch using the transformers library by huggingface. Training data is taken from OPUS and training pipelines use the procedures of OPUS-MT-train. Model Description:

  • Developed by: Language Technology Research Group at the University of Helsinki
  • Model Type: Translation (transformer-big)
  • Release: 2024-05-30
  • License: Apache-2.0
  • Language(s):
    • Source Language(s): deu eng fra por spa
    • Target Language(s): acf afr aln ang anp arg asm ast awa bal bar bel ben bho bis bos bpy bre bul bzj cat cbk ces chu ckb cnr cor cos crs csb cym dan deu diq div djk drt dsb dty egl ell eng enm ext fao fas fra frm fro frp frr fry fur gbm gcf gla gle glg glk glv gos got grc gsw guj hat hbs hif hin hne hns hrv hrx hsb hwc hye hyw icr isl ita jam jdt kas kea kmr kok kri ksh kur lad lah lat lav lij lim lit lld lmo lou lrc ltz mag mai mar mfe mkd mol mwl mzn nap nds nep nld nno nob non nor npi oci ofs ori orv osp oss pal pan pap pcd pcm pdc pes pfl pih pis pli pms pnt pol por prg prs pus rhg rmy roh rom ron rop rue rup rus san scn sco sdh sgs sin skr slk slv snd spa sqi srd srm srn srp stq swe swg syl szl tcs tgk tly tpi ukr urd vec vls wae wln xcl yid zea zza
    • Valid Target Language Labels: >>acf<< >>act<< >>aee<< >>aeq<< >>afr<< >>afs<< >>aig<< >>aiq<< >>aln<< >>ang<< >>ang_Latn<< >>anp<< >>anr<< >>aoa<< >>arg<< >>ask<< >>asm<< >>ast<< >>atn<< >>avd<< >>ave<< >>awa<< >>axm<< >>bah<< >>bal<< >>bal_Latn<< >>bar<< >>bdv<< >>bel<< >>ben<< >>bfb<< >>bfy<< >>bfz<< >>bgc<< >>bgd<< >>bge<< >>bgw<< >>bha<< >>bhb<< >>bhd<< >>bhe<< >>bhh<< >>bhi<< >>bho<< >>bht<< >>bhu<< >>bis<< >>bjj<< >>bjm<< >>bjs<< >>bkk<< >>bmj<< >>bns<< >>bos_Cyrl<< >>bos_Latn<< >>bpx<< >>bpy<< >>bqi<< >>bra<< >>brc<< >>bre<< >>bsg<< >>bsh<< >>btv<< >>bul<< >>bzj<< >>bzk<< >>cat<< >>cbk<< >>cbk_Latn<< >>ccd<< >>ccp<< >>cdh<< >>cdi<< >>cdj<< >>ces<< >>chu<< >>cih<< >>cim<< >>ckb<< >>cks<< >>clh<< >>cms<< >>cnr<< >>cnr_Latn<< >>cor<< >>cos<< >>cpg<< >>cri<< >>crs<< >>csb<< >>csb_Latn<< >>ctg<< >>cym<< >>czk<< >>dan<< >>dcc<< >>dcr<< >>def<< >>deh<< >>deu<< >>dhn<< >>dho<< >>diq<< >>div<< >>djk<< >>djk_Latn<< >>dlm<< >>dmk<< >>dml<< >>doi<< >>drc<< >>drt<< >>drt_Latn<< >>dry<< >>dsb<< >>dty<< >>dub<< >>duh<< >>dum<< >>dwz<< >>egl<< >>ell<< >>emx<< >>eng<< >>enm<< >>enm_Latn<< >>esh<< >>ext<< >>fab<< >>fao<< >>fas<< >>fax<< >>fay<< >>fpe<< >>fra<< >>frc<< >>frk<< >>frm<< >>frm_Latn<< >>fro<< >>fro_Latn<< >>frp<< >>frr<< >>fry<< >>fur<< >>gas<< >>gbk<< >>gbl<< >>gbm<< >>gbz<< >>gcf<< >>gcf_Latn<< >>gcl<< >>gcr<< >>gct<< >>gdx<< >>geh<< >>ggg<< >>ghc<< >>ghr<< >>gig<< >>gjk<< >>gla<< >>gle<< >>glg<< >>glh<< >>glk<< >>glv<< >>gmh<< >>gml<< >>gmy<< >>goh<< >>gos<< >>got<< >>got_Goth<< >>goz<< >>gpe<< >>gra<< >>grc<< >>grc_Grek<< >>gsw<< >>guj<< >>gul<< >>gwc<< >>gwf<< >>gwt<< >>gyn<< >>gzi<< >>hac<< >>haj<< >>hat<< >>haz<< >>hbs<< >>hbs_Cyrl<< >>hbs_Latn<< >>hca<< >>hif<< >>hif_Latn<< >>hii<< >>hin<< >>hin_Latn<< >>hit<< >>hlb<< >>hlu<< >>hne<< >>hns<< >>hrv<< >>hrx<< >>hrx_Latn<< >>hrz<< >>hsb<< >>hwc<< >>hye<< >>hyw<< >>hyw_Armn<< >>hyw_Latn<< >>icr<< >>idb<< >>imy<< >>isk<< >>isl<< >>ist<< >>ita<< >>itk<< >>jam<< >>jdg<< >>jdt<< >>jdt_Cyrl<< >>jml<< >>jnd<< >>jns<< >>jpr<< >>jut<< >>jvd<< >>kas<< >>kas_Arab<< >>kas_Deva<< >>kbu<< >>kea<< >>keq<< >>key<< >>kfm<< >>kfr<< >>kfs<< >>kft<< >>kfu<< >>kfv<< >>kfx<< >>kfy<< >>kgn<< >>khn<< >>kho<< >>khw<< >>kjo<< >>kjv<< >>kls<< >>kmr<< >>kmv<< >>kok<< >>kra<< >>kri<< >>ksh<< >>ksy<< >>ktl<< >>kur<< >>kur_Arab<< >>kur_Cyrl<< >>kur_Latn<< >>kvx<< >>kww<< >>kxp<< >>kyw<< >>lad<< >>lad_Latn<< >>lah<< >>lat<< >>lat_Latn<< >>lav<< >>lbm<< >>lhl<< >>lij<< >>lim<< >>lit<< >>lki<< >>lld<< >>lld_Latn<< >>lmn<< >>lmo<< >>lng<< >>lou<< >>lou_Latn<< >>lrc<< >>lrl<< >>lsa<< >>lss<< >>ltz<< >>luv<< >>luz<< >>mag<< >>mai<< >>mar<< >>mby<< >>mcm<< >>mfe<< >>mga<< >>mhn<< >>mjl<< >>mjz<< >>mkb<< >>mkd<< >>mke<< >>mki<< >>mnj<< >>mol<< >>mvy<< >>mwl<< >>mwr<< >>mxi<< >>mzn<< >>mzs<< >>nag<< >>nap<< >>ndf<< >>nds<< >>nep<< >>nhh<< >>nld<< >>nli<< >>nlx<< >>nno<< >>nob<< >>noe<< >>noi<< >>non<< >>nor<< >>npi<< >>nrc<< >>nrf<< >>nrn<< >>ntz<< >>nyq<< >>obt<< >>oci<< >>odk<< >>odt<< >>ofs<< >>ofs_Latn<< >>okh<< >>olt<< >>omr<< >>oor<< >>oos<< >>ori<< >>ort<< >>oru<< >>orv<< >>orv_Cyrl<< >>osc<< >>osp<< >>osp_Latn<< >>oss<< >>osx<< >>ovd<< >>owl<< >>pal<< >>pan<< >>pan_Guru<< >>pap<< >>paq<< >>pcd<< >>pcl<< >>pcm<< >>pdc<< >>pdt<< >>peo<< >>pes<< >>pey<< >>pfl<< >>pgg<< >>phd<< >>phl<< >>phv<< >>pih<< >>pih_Latn<< >>pis<< >>pli<< >>plk<< >>pln<< >>plp<< >>plq<< >>pmh<< >>pms<< >>pnt<< >>pnt_Grek<< >>pol<< >>por<< >>pov<< >>pox<< >>prc<< >>pre<< >>prg<< >>prg_Latn<< >>prn<< >>pro<< >>prs<< >>psh<< >>psi<< >>psu<< >>pus<< >>pwr<< >>raj<< >>rat<< >>rcf<< >>rdb<< >>rei<< >>rgn<< >>rhg<< >>rhg_Latn<< >>rjs<< >>rkt<< >>rmg<< >>rmi<< >>rmq<< >>rmt<< >>rmy<< >>roh<< >>rom<< >>ron<< >>rop<< >>rtw<< >>rue<< >>ruo<< >>rup<< >>ruq<< >>rus<< >>san<< >>san_Deva<< >>saz<< >>sbn<< >>scf<< >>sck<< >>scl<< >>scn<< >>sco<< >>scx<< >>sdb<< >>sdf<< >>sdg<< >>sdh<< >>sdr<< >>sdt<< >>sdz<< >>sga<< >>sgh<< >>sgl<< >>sgr<< >>sgs<< >>sgy<< >>shd<< >>shm<< >>sin<< >>siy<< >>sjp<< >>skr<< >>skw<< >>sli<< >>slk<< >>slv<< >>smm<< >>smv<< >>smy<< >>snd<< >>snd_Arab<< >>sog<< >>soi<< >>soj<< >>spa<< >>spq<< >>spx<< >>sqi<< >>sqo<< >>srd<< >>srh<< >>srm<< >>srn<< >>srp_Cyrl<< >>srx<< >>srz<< >>ssi<< >>stl<< >>stq<< >>sts<< >>svc<< >>svm<< >>svx<< >>swe<< >>swg<< >>sxl<< >>sxu<< >>syl<< >>syl_Sylo<< >>szl<< >>tch<< >>tcs<< >>tdb<< >>tgh<< >>tgk<< >>tgk_Cyrl<< >>tgk_Latn<< >>the<< >>thl<< >>thq<< >>thr<< >>tkb<< >>tks<< >>tkt<< >>tly<< >>tly_Latn<< >>tmg<< >>tnv<< >>tov<< >>tpi<< >>tra<< >>trf<< >>trm<< >>trw<< >>tsd<< >>ttt<< >>tvy<< >>twd<< >>txb<< >>txh<< >>ukr<< >>uln<< >>urd<< >>ush<< >>vaa<< >>vaf<< >>vah<< >>vas<< >>vav<< >>vec<< >>ved<< >>vel<< >>vgr<< >>vic<< >>vkp<< >>vls<< >>vmf<< >>vmh<< >>wae<< >>wbk<< >>wbl<< >>wep<< >>wes<< >>wlm<< >>wln<< >>wne<< >>wsv<< >>wtm<< >>wym<< >>xbc<< >>xbm<< >>xcb<< >>xce<< >>xcg<< >>xcl<< >>xcl_Armn<< >>xcl_Latn<< >>xco<< >>xcr<< >>xcu<< >>xdc<< >>xfa<< >>xga<< >>xgl<< >>xka<< >>xkc<< >>xkj<< >>xkp<< >>xlc<< >>xld<< >>xlg<< >>xlp<< >>xls<< >>xlu<< >>xmk<< >>xpg<< >>xpi<< >>xpr<< >>xps<< >>xsc<< >>xsd<< >>xsv<< >>xtg<< >>xto<< >>xtq<< >>xum<< >>xve<< >>xvi<< >>xvn<< >>xxx<< >>xzm<< >>yah<< >>yai<< >>ydg<< >>yec<< >>yej<< >>yid<< >>zea<< >>zum<< >>zza<<
  • Original Model: opusTCv20230926max50+bt+jhubc_transformer-big_2024-05-30.zip
  • Resources for more information:

This is a multilingual translation model with multiple target languages. A sentence initial language token is required in the form of >>id<< (id = valid target language ID), e.g. >>acf<<

Uses

This model can be used for translation and text-to-text generation.

Risks, Limitations and Biases

CONTENT WARNING: Readers should be aware that the model is trained on various public data sets that may contain content that is disturbing, offensive, and can propagate historical and current stereotypes.

Significant research has explored bias and fairness issues with language models (see, e.g., Sheng et al. (2021) and Bender et al. (2021)).

How to Get Started With the Model

A short example code:

from transformers import MarianMTModel, MarianTokenizer

src_text = [
    ">>acf<< Replace this with text in an accepted source language.",
    ">>zza<< This is the second sentence."
]

model_name = "pytorch-models/opus-mt-tc-bible-big-deu_eng_fra_por_spa-ine"
tokenizer = MarianTokenizer.from_pretrained(model_name)
model = MarianMTModel.from_pretrained(model_name)
translated = model.generate(**tokenizer(src_text, return_tensors="pt", padding=True))

for t in translated:
    print( tokenizer.decode(t, skip_special_tokens=True) )

You can also use OPUS-MT models with the transformers pipelines, for example:

from transformers import pipeline
pipe = pipeline("translation", model="Helsinki-NLP/opus-mt-tc-bible-big-deu_eng_fra_por_spa-ine")
print(pipe(">>acf<< Replace this with text in an accepted source language."))

Training

Evaluation

langpair testset chr-F BLEU #sent #words
deu-afr tatoeba-test-v2021-08-07 0.69843 53.9 1583 9507
deu-bel tatoeba-test-v2021-08-07 0.55105 27.8 551 3601
deu-bul tatoeba-test-v2021-08-07 0.64736 45.3 314 2036
deu-cat tatoeba-test-v2021-08-07 0.60706 39.7 723 5539
deu-ces tatoeba-test-v2021-08-07 0.60622 38.3 3490 22864
deu-dan tatoeba-test-v2021-08-07 0.71239 54.3 9998 74644
deu-deu tatoeba-test-v2021-08-07 0.59800 36.4 2500 20806
deu-dsb tatoeba-test-v2021-08-07 0.40343 14.6 640 3975
deu-ell tatoeba-test-v2021-08-07 0.62906 42.3 2500 15517
deu-eng tatoeba-test-v2021-08-07 0.63986 45.8 17565 149462
deu-fas tatoeba-test-v2021-08-07 0.44275 18.6 3185 24941
deu-fra tatoeba-test-v2021-08-07 0.65864 47.4 12418 102721
deu-hrv tatoeba-test-v2021-08-07 0.64086 42.0 782 4933
deu-hsb tatoeba-test-v2021-08-07 0.43068 19.3 666 4195
deu-isl tatoeba-test-v2021-08-07 0.58857 37.7 969 5951
deu-ita tatoeba-test-v2021-08-07 0.66819 44.9 10094 75504
deu-lat tatoeba-test-v2021-08-07 0.41791 15.1 2016 10538
deu-lit tatoeba-test-v2021-08-07 0.61083 32.6 1115 7091
deu-ltz tatoeba-test-v2021-08-07 0.57811 37.5 347 2206
deu-nds tatoeba-test-v2021-08-07 0.44188 18.2 9999 76137
deu-nld tatoeba-test-v2021-08-07 0.69440 51.6 10218 75235
deu-nob tatoeba-test-v2021-08-07 0.69018 48.9 3525 31978
deu-nor tatoeba-test-v2021-08-07 0.68845 48.7 3651 32928
deu-pol tatoeba-test-v2021-08-07 0.62153 38.4 5000 31726
deu-por tatoeba-test-v2021-08-07 0.62059 40.8 10000 81482
deu-ron tatoeba-test-v2021-08-07 0.62094 39.7 1141 7432
deu-rus tatoeba-test-v2021-08-07 0.62731 40.3 12800 87296
deu-spa tatoeba-test-v2021-08-07 0.66256 46.5 10521 82570
deu-swe tatoeba-test-v2021-08-07 0.69697 54.0 3410 22701
deu-ukr tatoeba-test-v2021-08-07 0.60825 37.3 10319 56287
eng-afr tatoeba-test-v2021-08-07 0.70651 55.3 1374 10317
eng-bel tatoeba-test-v2021-08-07 0.50356 23.5 2500 16237
eng-ben tatoeba-test-v2021-08-07 0.44552 13.6 2500 11654
eng-bos_Latn tatoeba-test-v2021-08-07 0.64765 43.2 301 1650
eng-bul tatoeba-test-v2021-08-07 0.64094 45.0 10000 69504
eng-cat tatoeba-test-v2021-08-07 0.65036 45.3 1631 12344
eng-ces tatoeba-test-v2021-08-07 0.60779 39.9 13824 91332
eng-cym tatoeba-test-v2021-08-07 0.58768 33.7 818 6020
eng-dan tatoeba-test-v2021-08-07 0.71901 56.7 10795 79385
eng-deu tatoeba-test-v2021-08-07 0.60900 38.8 17565 151568
eng-ell tatoeba-test-v2021-08-07 0.68844 47.7 10899 66884
eng-eng tatoeba-test-v2021-08-07 0.83261 69.2 12062 115106
eng-fao tatoeba-test-v2021-08-07 0.44702 23.3 294 1933
eng-fas tatoeba-test-v2021-08-07 0.42166 17.8 3762 31110
eng-fra tatoeba-test-v2021-08-07 0.66478 48.0 12681 106378
eng-fry tatoeba-test-v2021-08-07 0.44477 21.9 220 1600
eng-gla tatoeba-test-v2021-08-07 0.45225 22.1 955 7333
eng-gle tatoeba-test-v2021-08-07 0.58293 38.3 1913 12142
eng-glg tatoeba-test-v2021-08-07 0.61841 41.4 1015 7881
eng-got tatoeba-test-v2021-08-07 1.138 0.3 202 913
eng-hin tatoeba-test-v2021-08-07 0.50692 26.6 5000 32904
eng-hrv tatoeba-test-v2021-08-07 0.66340 44.9 1480 9396
eng-isl tatoeba-test-v2021-08-07 0.54222 31.9 2503 19023
eng-ita tatoeba-test-v2021-08-07 0.70559 51.1 17320 116336
eng-lad tatoeba-test-v2021-08-07 0.40057 19.4 768 4105
eng-lad_Latn tatoeba-test-v2021-08-07 0.46409 22.0 672 3580
eng-lat tatoeba-test-v2021-08-07 0.42128 15.2 10298 76510
eng-lav tatoeba-test-v2021-08-07 0.63154 39.3 1631 9932
eng-lit tatoeba-test-v2021-08-07 0.64557 34.7 2528 14942
eng-ltz tatoeba-test-v2021-08-07 0.58309 39.5 293 1828
eng-mar tatoeba-test-v2021-08-07 0.49010 19.9 10396 61140
eng-mkd tatoeba-test-v2021-08-07 0.58369 34.7 10010 62029
eng-nds tatoeba-test-v2021-08-07 0.44492 19.7 2500 18264
eng-nld tatoeba-test-v2021-08-07 0.69106 51.6 12696 91796
eng-nno tatoeba-test-v2021-08-07 0.60123 38.7 460 3428
eng-nob tatoeba-test-v2021-08-07 0.69979 53.8 4539 36119
eng-nor tatoeba-test-v2021-08-07 0.69136 52.5 5000 39552
eng-pes tatoeba-test-v2021-08-07 0.42287 17.9 3757 31044
eng-pol tatoeba-test-v2021-08-07 0.63041 40.6 10099 65592
eng-por tatoeba-test-v2021-08-07 0.70207 50.6 13222 105265
eng-ron tatoeba-test-v2021-08-07 0.65546 44.2 5508 40367
eng-rus tatoeba-test-v2021-08-07 0.60525 38.2 19425 134296
eng-spa tatoeba-test-v2021-08-07 0.70563 52.4 16583 134710
eng-sqi tatoeba-test-v2021-08-07 0.65412 41.7 1109 8281
eng-srp_Cyrl tatoeba-test-v2021-08-07 0.59271 38.0 1580 9152
eng-swe tatoeba-test-v2021-08-07 0.70223 55.4 10362 68067
eng-ukr tatoeba-test-v2021-08-07 0.57326 34.0 13127 80998
eng-urd tatoeba-test-v2021-08-07 0.43242 16.0 1663 12155
fra-bel tatoeba-test-v2021-08-07 0.54792 30.6 283 1703
fra-bul tatoeba-test-v2021-08-07 0.64862 44.1 446 3286
fra-cat tatoeba-test-v2021-08-07 0.65001 42.9 700 5342
fra-ces tatoeba-test-v2021-08-07 0.63896 41.1 438 2699
fra-dan tatoeba-test-v2021-08-07 0.75807 62.0 1731 11312
fra-deu tatoeba-test-v2021-08-07 0.66141 46.4 12418 100545
fra-ell tatoeba-test-v2021-08-07 0.68793 49.0 1506 8975
fra-eng tatoeba-test-v2021-08-07 0.70406 54.8 12681 101754
fra-fas tatoeba-test-v2021-08-07 0.41169 16.7 376 3217
fra-fra tatoeba-test-v2021-08-07 0.63417 44.2 1000 7757
fra-gcf tatoeba-test-v2021-08-07 6.252 0.1 1164 6118
fra-hbs tatoeba-test-v2021-08-07 0.55307 25.6 474 2882
fra-hrv tatoeba-test-v2021-08-07 0.60246 34.6 258 1629
fra-ita tatoeba-test-v2021-08-07 0.72081 52.7 10091 62060
fra-nds tatoeba-test-v2021-08-07 0.40878 16.1 857 5760
fra-nld tatoeba-test-v2021-08-07 0.64926 45.7 11548 82164
fra-nob tatoeba-test-v2021-08-07 0.72336 55.8 323 2175
fra-nor tatoeba-test-v2021-08-07 0.71320 55.0 477 3097
fra-pcd tatoeba-test-v2021-08-07 7.211 0.1 266 1569
fra-pol tatoeba-test-v2021-08-07 0.60675 36.6 3087 19954
fra-por tatoeba-test-v2021-08-07 0.69533 50.1 10518 77650
fra-ron tatoeba-test-v2021-08-07 0.64390 43.0 1925 12252
fra-rus tatoeba-test-v2021-08-07 0.61704 39.8 11490 70123
fra-spa tatoeba-test-v2021-08-07 0.70601 52.3 10294 78406
fra-swe tatoeba-test-v2021-08-07 0.73948 59.1 1407 9170
fra-ukr tatoeba-test-v2021-08-07 0.59329 36.6 10035 54372
por-cat tatoeba-test-v2021-08-07 0.70201 50.7 747 6149
por-dan tatoeba-test-v2021-08-07 0.78231 64.8 873 5258
por-deu tatoeba-test-v2021-08-07 0.66060 45.8 10000 81246
por-ell tatoeba-test-v2021-08-07 0.70353 49.6 885 4946
por-eng tatoeba-test-v2021-08-07 0.74714 60.7 13222 105351
por-fra tatoeba-test-v2021-08-07 0.74205 58.4 10518 80459
por-glg tatoeba-test-v2021-08-07 0.73178 56.6 433 3016
por-ita tatoeba-test-v2021-08-07 0.75942 57.2 3066 24897
por-nds tatoeba-test-v2021-08-07 0.44477 19.6 207 1292
por-nld tatoeba-test-v2021-08-07 0.68084 49.8 2500 17816
por-nor tatoeba-test-v2021-08-07 0.72109 55.4 481 4030
por-pol tatoeba-test-v2021-08-07 0.64745 40.5 705 4296
por-por tatoeba-test-v2021-08-07 0.74601 55.2 2500 19220
por-ron tatoeba-test-v2021-08-07 0.68212 46.2 681 4521
por-rus tatoeba-test-v2021-08-07 0.63001 40.7 10000 65326
por-spa tatoeba-test-v2021-08-07 0.78404 63.1 10947 87335
por-swe tatoeba-test-v2021-08-07 0.73715 57.6 320 1938
por-ukr tatoeba-test-v2021-08-07 0.62358 39.6 3372 18933
spa-afr tatoeba-test-v2021-08-07 0.74092 59.3 448 3044
spa-bel tatoeba-test-v2021-08-07 0.56796 28.1 205 1259
spa-bul tatoeba-test-v2021-08-07 0.62299 43.9 286 1707
spa-cat tatoeba-test-v2021-08-07 0.80208 63.8 1534 12343
spa-ces tatoeba-test-v2021-08-07 0.62203 40.2 1807 11295
spa-dan tatoeba-test-v2021-08-07 0.71414 55.1 5000 35937
spa-deu tatoeba-test-v2021-08-07 0.65649 45.6 10521 86430
spa-ell tatoeba-test-v2021-08-07 0.62981 41.9 1829 10464
spa-eng tatoeba-test-v2021-08-07 0.72410 57.2 16583 138123
spa-fra tatoeba-test-v2021-08-07 0.71593 55.0 10294 83501
spa-gla tatoeba-test-v2021-08-07 0.46704 22.8 289 2014
spa-glg tatoeba-test-v2021-08-07 0.73880 57.9 2121 16581
spa-hbs tatoeba-test-v2021-08-07 0.48593 26.1 607 3513
spa-hrv tatoeba-test-v2021-08-07 0.66819 49.1 254 1533
spa-isl tatoeba-test-v2021-08-07 0.53084 25.4 238 1220
spa-ita tatoeba-test-v2021-08-07 0.75756 58.1 5000 34515
spa-lad tatoeba-test-v2021-08-07 0.41031 20.7 276 1464
spa-lad_Latn tatoeba-test-v2021-08-07 0.48389 24.0 239 1254
spa-lat tatoeba-test-v2021-08-07 0.41591 13.9 3129 27685
spa-lit tatoeba-test-v2021-08-07 0.64868 39.1 454 2352
spa-mkd tatoeba-test-v2021-08-07 0.65406 40.8 217 1073
spa-nds tatoeba-test-v2021-08-07 0.42437 17.3 923 5941
spa-nld tatoeba-test-v2021-08-07 0.66981 48.2 10113 79162
spa-nob tatoeba-test-v2021-08-07 0.74315 58.0 885 6762
spa-nor tatoeba-test-v2021-08-07 0.73699 57.1 960 7217
spa-pol tatoeba-test-v2021-08-07 0.63650 41.1 2544 15967
spa-por tatoeba-test-v2021-08-07 0.76008 59.2 10947 87610
spa-ron tatoeba-test-v2021-08-07 0.67038 45.2 1959 12503
spa-rus tatoeba-test-v2021-08-07 0.63866 42.5 10506 69242
spa-spa tatoeba-test-v2021-08-07 0.68295 51.5 2500 21469
spa-swe tatoeba-test-v2021-08-07 0.70919 56.2 1351 8357
spa-ukr tatoeba-test-v2021-08-07 0.60403 37.5 10115 54544
deu-afr flores101-devtest 0.55623 24.1 1012 25740
deu-ast flores101-devtest 0.49967 18.1 1012 24572
deu-ces flores101-devtest 0.51256 22.6 1012 22101
deu-dan flores101-devtest 0.59669 31.5 1012 24638
deu-ell flores101-devtest 0.45960 18.3 1012 26615
deu-eng flores101-devtest 0.64491 38.0 1012 24721
deu-hin flores101-devtest 0.45329 18.8 1012 27743
deu-isl flores101-devtest 0.43309 14.6 1012 22834
deu-lav flores101-devtest 0.50901 19.7 1012 22092
deu-nld flores101-devtest 0.54019 22.0 1012 25467
deu-spa flores101-devtest 0.50645 22.0 1012 29199
deu-swe flores101-devtest 0.59105 30.0 1012 23121
eng-bul flores101-devtest 0.63884 35.6 1012 24700
eng-cat flores101-devtest 0.64377 39.0 1012 27304
eng-fas flores101-devtest 0.48944 20.1 1012 24986
eng-gle flores101-devtest 0.50290 21.4 1012 28707
eng-lit flores101-devtest 0.55453 22.7 1012 20695
eng-nld flores101-devtest 0.56191 24.6 1012 25467
eng-pol flores101-devtest 0.48997 17.8 1012 22520
eng-por flores101-devtest 0.68817 45.5 1012 26519
eng-slk flores101-devtest 0.55488 26.6 1012 22543
fra-ast flores101-devtest 0.51897 19.8 1012 24572
fra-ces flores101-devtest 0.50228 21.3 1012 22101
fra-hrv flores101-devtest 0.53205 22.4 1012 22423
fra-ita flores101-devtest 0.55420 25.7 1012 27306
fra-lav flores101-devtest 0.50495 19.3 1012 22092
fra-mkd flores101-devtest 0.54920 23.1 1012 24314
fra-nld flores101-devtest 0.52923 20.4 1012 25467
fra-nob flores101-devtest 0.53696 23.0 1012 23873
fra-oci flores101-devtest 0.56442 26.1 1012 27305
fra-por flores101-devtest 0.60935 34.9 1012 26519
fra-ron flores101-devtest 0.57589 30.1 1012 26799
fra-slk flores101-devtest 0.47768 18.8 1012 22543
fra-srp_Cyrl flores101-devtest 0.689 0.0 1012 3
por-ast flores101-devtest 0.53848 21.5 1012 24572
por-cym flores101-devtest 0.50778 21.8 1012 27010
por-eng flores101-devtest 0.68628 44.1 1012 24721
por-glg flores101-devtest 0.56990 29.2 1012 26582
por-hrv flores101-devtest 0.53554 22.9 1012 22423
por-ltz flores101-devtest 0.41322 11.3 1012 25087
por-nld flores101-devtest 0.52916 20.6 1012 25467
por-nob flores101-devtest 0.54824 24.7 1012 23873
por-oci flores101-devtest 0.55361 24.6 1012 27305
por-ron flores101-devtest 0.58158 31.2 1012 26799
spa-afr flores101-devtest 0.49705 16.3 1012 25740
spa-ces flores101-devtest 0.45466 15.5 1012 22101
spa-ell flores101-devtest 0.44466 16.5 1012 26615
spa-hin flores101-devtest 0.41638 14.6 1012 27743
spa-mkd flores101-devtest 0.50767 17.4 1012 24314
spa-nld flores101-devtest 0.49559 15.9 1012 25467
spa-npi flores101-devtest 0.792 0.3 1012 19762
spa-swe flores101-devtest 0.52133 20.3 1012 23121
deu-afr flores200-devtest 0.56031 24.6 1012 25740
deu-ast flores200-devtest 0.50634 19.2 1012 24572
deu-ben flores200-devtest 0.40428 7.6 1012 21155
deu-bul flores200-devtest 0.57621 28.3 1012 24700
deu-cat flores200-devtest 0.56694 29.3 1012 27304
deu-ces flores200-devtest 0.51425 22.8 1012 22101
deu-cym flores200-devtest 0.50140 20.3 1012 27010
deu-dan flores200-devtest 0.60094 32.3 1012 24638
deu-ell flores200-devtest 0.46718 18.9 1012 26615
deu-eng flores200-devtest 0.65234 39.1 1012 24721
deu-fra flores200-devtest 0.60504 33.6 1012 28343
deu-fur flores200-devtest 0.42889 14.4 1012 29171
deu-gle flores200-devtest 0.45323 15.6 1012 28707
deu-glg flores200-devtest 0.53882 25.8 1012 26582
deu-hat flores200-devtest 0.46096 15.8 1012 25833
deu-hin flores200-devtest 0.46316 19.7 1012 27743
deu-hrv flores200-devtest 0.53819 23.0 1012 22423
deu-isl flores200-devtest 0.44322 15.2 1012 22834
deu-ita flores200-devtest 0.53550 23.3 1012 27306
deu-kas_Arab flores200-devtest 3.310 0.1 1012 23514
deu-lit flores200-devtest 0.51743 19.0 1012 20695
deu-ltz flores200-devtest 0.50960 17.1 1012 25087
deu-mkd flores200-devtest 0.55622 24.3 1012 24314
deu-nld flores200-devtest 0.54434 22.7 1012 25467
deu-nno flores200-devtest 0.51343 21.2 1012 24316
deu-nob flores200-devtest 0.54538 23.7 1012 23873
deu-npi flores200-devtest 0.916 0.4 1012 19762
deu-oci flores200-devtest 0.50121 19.4 1012 27305
deu-pap flores200-devtest 0.46836 19.1 1012 28016
deu-pol flores200-devtest 0.47290 16.8 1012 22520
deu-por flores200-devtest 0.58766 31.8 1012 26519
deu-prs flores200-devtest 0.42261 15.1 1012 25885
deu-ron flores200-devtest 0.55715 27.7 1012 26799
deu-rus flores200-devtest 0.51013 21.9 1012 23295
deu-san flores200-devtest 5.576 0.0 1012 18253
deu-slk flores200-devtest 0.49473 20.5 1012 22543
deu-slv flores200-devtest 0.53054 23.3 1012 23425
deu-spa flores200-devtest 0.51043 22.5 1012 29199
deu-srd flores200-devtest 0.42730 12.7 1012 28322
deu-srp_Cyrl flores200-devtest 0.53885 24.3 1012 23456
deu-swe flores200-devtest 0.59804 31.0 1012 23121
deu-ukr flores200-devtest 0.50376 20.2 1012 22810
eng-afr flores200-devtest 0.65906 37.6 1012 25740
eng-ast flores200-devtest 0.57438 25.8 1012 24572
eng-ben flores200-devtest 0.45263 11.1 1012 21155
eng-bul flores200-devtest 0.64840 36.8 1012 24700
eng-cat flores200-devtest 0.64881 39.9 1012 27304
eng-ces flores200-devtest 0.56304 28.1 1012 22101
eng-cym flores200-devtest 0.62000 35.5 1012 27010
eng-dan flores200-devtest 0.68128 44.0 1012 24638
eng-deu flores200-devtest 0.62791 34.7 1012 25094
eng-ell flores200-devtest 0.51169 24.3 1012 26615
eng-fra flores200-devtest 0.68379 45.2 1012 28343
eng-fur flores200-devtest 0.44532 17.2 1012 29171
eng-gla flores200-devtest 0.40757 11.0 1012 29377
eng-gle flores200-devtest 0.51295 22.6 1012 28707
eng-glg flores200-devtest 0.60361 32.9 1012 26582
eng-guj flores200-devtest 0.44101 13.1 1012 23840
eng-hat flores200-devtest 0.50780 21.1 1012 25833
eng-hin flores200-devtest 0.54146 28.4 1012 27743
eng-hne flores200-devtest 0.44142 15.7 1012 26582
eng-hrv flores200-devtest 0.58545 28.6 1012 22423
eng-hye flores200-devtest 0.42244 8.8 1012 22170
eng-isl flores200-devtest 0.47667 18.9 1012 22834
eng-ita flores200-devtest 0.57513 27.6 1012 27306
eng-kas_Arab flores200-devtest 4.438 0.3 1012 23514
eng-lit flores200-devtest 0.55949 23.1 1012 20695
eng-ltz flores200-devtest 0.50438 17.0 1012 25087
eng-mag flores200-devtest 0.46757 16.6 1012 26516
eng-mar flores200-devtest 0.42102 9.6 1012 21810
eng-mkd flores200-devtest 0.61359 31.3 1012 24314
eng-nld flores200-devtest 0.56603 24.9 1012 25467
eng-nno flores200-devtest 0.58795 29.5 1012 24316
eng-nob flores200-devtest 0.61824 32.9 1012 23873
eng-npi flores200-devtest 0.952 0.4 1012 19762
eng-oci flores200-devtest 0.60388 30.7 1012 27305
eng-pap flores200-devtest 0.53203 25.5 1012 28016
eng-pes flores200-devtest 0.45532 17.7 1012 24986
eng-pol flores200-devtest 0.49411 18.5 1012 22520
eng-por flores200-devtest 0.69369 46.4 1012 26519
eng-prs flores200-devtest 0.50119 23.1 1012 25885
eng-ron flores200-devtest 0.62885 37.2 1012 26799
eng-rus flores200-devtest 0.55363 26.9 1012 23295
eng-slk flores200-devtest 0.56631 27.9 1012 22543
eng-slv flores200-devtest 0.55956 26.6 1012 23425
eng-spa flores200-devtest 0.54596 25.7 1012 29199
eng-srd flores200-devtest 0.45435 16.0 1012 28322
eng-srp_Cyrl flores200-devtest 0.60270 31.9 1012 23456
eng-swe flores200-devtest 0.67654 42.3 1012 23121
eng-tgk flores200-devtest 0.41975 13.0 1012 25530
eng-ukr flores200-devtest 0.55341 25.5 1012 22810
eng-urd flores200-devtest 0.43298 16.3 1012 28098
fra-afr flores200-devtest 0.55327 24.5 1012 25740
fra-ast flores200-devtest 0.52530 20.5 1012 24572
fra-ben flores200-devtest 0.40164 7.2 1012 21155
fra-bul flores200-devtest 0.57742 28.3 1012 24700
fra-cat flores200-devtest 0.59840 33.6 1012 27304
fra-ces flores200-devtest 0.50851 22.1 1012 22101
fra-cym flores200-devtest 0.50994 21.8 1012 27010
fra-dan flores200-devtest 0.59088 31.5 1012 24638
fra-deu flores200-devtest 0.57176 27.5 1012 25094
fra-ell flores200-devtest 0.47978 20.4 1012 26615
fra-eng flores200-devtest 0.66208 41.0 1012 24721
fra-fur flores200-devtest 0.45619 16.7 1012 29171
fra-gle flores200-devtest 0.46469 17.0 1012 28707
fra-glg flores200-devtest 0.56615 28.9 1012 26582
fra-hat flores200-devtest 0.51091 20.6 1012 25833
fra-hin flores200-devtest 0.46411 20.4 1012 27743
fra-hrv flores200-devtest 0.53985 23.5 1012 22423
fra-isl flores200-devtest 0.43828 14.9 1012 22834
fra-ita flores200-devtest 0.55679 26.0 1012 27306
fra-kas_Arab flores200-devtest 3.646 0.1 1012 23514
fra-lit flores200-devtest 0.52001 19.4 1012 20695
fra-ltz flores200-devtest 0.46940 14.3 1012 25087
fra-mkd flores200-devtest 0.55627 24.2 1012 24314
fra-nld flores200-devtest 0.53308 21.0 1012 25467
fra-nno flores200-devtest 0.50863 20.9 1012 24316
fra-nob flores200-devtest 0.53920 23.5 1012 23873
fra-npi flores200-devtest 0.783 0.2 1012 19762
fra-oci flores200-devtest 0.56888 26.8 1012 27305
fra-pap flores200-devtest 0.47545 19.6 1012 28016
fra-pol flores200-devtest 0.47419 16.5 1012 22520
fra-por flores200-devtest 0.61219 35.3 1012 26519
fra-prs flores200-devtest 0.41815 14.6 1012 25885
fra-ron flores200-devtest 0.57969 30.7 1012 26799
fra-rus flores200-devtest 0.51130 21.8 1012 23295
fra-san flores200-devtest 6.562 0.1 1012 18253
fra-slk flores200-devtest 0.48379 19.3 1012 22543
fra-slv flores200-devtest 0.52205 22.7 1012 23425
fra-spa flores200-devtest 0.52358 23.5 1012 29199
fra-srd flores200-devtest 0.44853 14.2 1012 28322
fra-srp_Cyrl flores200-devtest 0.53627 24.5 1012 23456
fra-swe flores200-devtest 0.58741 30.0 1012 23121
fra-ukr flores200-devtest 0.50351 19.7 1012 22810
fra-vec flores200-devtest 0.41311 8.8 1012 26257
por-afr flores200-devtest 0.56310 25.1 1012 25740
por-ast flores200-devtest 0.53830 21.8 1012 24572
por-bul flores200-devtest 0.58447 29.7 1012 24700
por-cat flores200-devtest 0.60967 35.1 1012 27304
por-ces flores200-devtest 0.51024 22.8 1012 22101
por-cym flores200-devtest 0.51782 22.6 1012 27010
por-dan flores200-devtest 0.60269 33.4 1012 24638
por-deu flores200-devtest 0.57296 28.0 1012 25094
por-ell flores200-devtest 0.48090 20.6 1012 26615
por-eng flores200-devtest 0.69147 44.8 1012 24721
por-fra flores200-devtest 0.63409 38.1 1012 28343
por-fur flores200-devtest 0.46037 16.9 1012 29171
por-gle flores200-devtest 0.46790 17.4 1012 28707
por-glg flores200-devtest 0.57404 29.8 1012 26582
por-hat flores200-devtest 0.48161 17.7 1012 25833
por-hin flores200-devtest 0.47667 21.4 1012 27743
por-hrv flores200-devtest 0.53963 23.5 1012 22423
por-hye flores200-devtest 0.41362 7.5 1012 22170
por-isl flores200-devtest 0.44102 15.8 1012 22834
por-ita flores200-devtest 0.55156 25.2 1012 27306
por-kas_Arab flores200-devtest 3.653 0.1 1012 23514
por-lij flores200-devtest 0.40361 10.1 1012 28625
por-lit flores200-devtest 0.52095 19.3 1012 20695
por-ltz flores200-devtest 0.40955 11.4 1012 25087
por-mkd flores200-devtest 0.56282 25.3 1012 24314
por-nld flores200-devtest 0.53255 21.0 1012 25467
por-nno flores200-devtest 0.51883 22.2 1012 24316
por-nob flores200-devtest 0.55147 25.1 1012 23873
por-npi flores200-devtest 0.808 0.3 1012 19762
por-oci flores200-devtest 0.55910 25.3 1012 27305
por-pap flores200-devtest 0.49408 21.4 1012 28016
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por-prs flores200-devtest 0.43325 16.1 1012 25885
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por-rus flores200-devtest 0.51109 22.4 1012 23295
por-san flores200-devtest 8.715 0.1 1012 18253
por-slk flores200-devtest 0.48073 19.4 1012 22543
por-slv flores200-devtest 0.52201 22.6 1012 23425
por-spa flores200-devtest 0.53122 24.6 1012 29199
por-srd flores200-devtest 0.46019 15.4 1012 28322
por-srp_Cyrl flores200-devtest 0.54401 25.6 1012 23456
por-swe flores200-devtest 0.59310 30.7 1012 23121
por-ukr flores200-devtest 0.51390 21.7 1012 22810
por-vec flores200-devtest 0.41666 8.9 1012 26257
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spa-ast flores200-devtest 0.48967 15.6 1012 24572
spa-bul flores200-devtest 0.52657 21.6 1012 24700
spa-cat flores200-devtest 0.53932 23.3 1012 27304
spa-ces flores200-devtest 0.46096 16.1 1012 22101
spa-cym flores200-devtest 0.46919 16.2 1012 27010
spa-dan flores200-devtest 0.53445 23.2 1012 24638
spa-deu flores200-devtest 0.51460 19.1 1012 25094
spa-ell flores200-devtest 0.44703 16.8 1012 26615
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spa-fur flores200-devtest 0.42007 12.2 1012 29171
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spa-glg flores200-devtest 0.52635 21.7 1012 26582
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spa-por flores200-devtest 0.55622 25.5 1012 26519
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deu-spa newstest2009 0.53006 24.8 2525 68111
eng-ces newstest2009 0.48860 20.1 2525 55533
eng-deu newstest2009 0.52184 21.5 2525 62816
eng-fra newstest2009 0.56544 27.9 2525 69263
eng-ita newstest2009 0.59223 30.1 2525 63466
eng-spa newstest2009 0.57251 29.4 2525 68111
fra-ces newstest2009 0.48263 19.6 2525 55533
fra-deu newstest2009 0.51645 21.5 2525 62816
fra-eng newstest2009 0.55614 28.6 2525 65399
fra-ita newstest2009 0.59145 30.2 2525 63466
fra-spa newstest2009 0.58146 31.5 2525 68111
spa-ces newstest2009 0.48619 19.9 2525 55533
spa-deu newstest2009 0.51369 20.8 2525 62816
spa-eng newstest2009 0.55967 28.8 2525 65399
spa-fra newstest2009 0.58258 30.8 2525 69263
spa-ita newstest2009 0.60212 32.2 2525 63466
deu-ces newstest2010 0.50679 22.0 2489 52955
deu-eng newstest2010 0.57070 29.1 2489 61711
deu-fra newstest2010 0.56316 27.6 2489 66022
deu-spa newstest2010 0.58086 31.1 2489 65480
eng-ces newstest2010 0.49895 21.0 2489 52955
eng-deu newstest2010 0.53499 23.7 2489 61503
eng-fra newstest2010 0.58290 30.7 2489 66022
eng-spa newstest2010 0.61355 36.1 2489 65480
fra-ces newstest2010 0.48847 20.2 2489 52955
fra-deu newstest2010 0.52472 22.1 2489 61503
fra-eng newstest2010 0.57996 31.3 2489 61711
fra-spa newstest2010 0.61617 36.8 2489 65480
spa-ces newstest2010 0.50675 22.3 2489 52955
spa-deu newstest2010 0.53790 24.2 2489 61503
spa-eng newstest2010 0.60183 33.9 2489 61711
spa-fra newstest2010 0.60950 34.4 2489 66022
deu-ces newstest2011 0.48143 19.8 3003 65653
deu-eng newstest2011 0.54135 25.6 3003 74681
deu-fra newstest2011 0.54455 25.4 3003 80626
deu-spa newstest2011 0.55696 29.2 3003 79476
eng-ces newstest2011 0.49872 21.4 3003 65653
eng-deu newstest2011 0.51663 21.5 3003 72981
eng-fra newstest2011 0.59757 32.3 3003 80626
eng-spa newstest2011 0.61259 37.2 3003 79476
fra-ces newstest2011 0.49079 20.9 3003 65653
fra-deu newstest2011 0.51558 21.6 3003 72981
fra-eng newstest2011 0.58573 31.5 3003 74681
fra-spa newstest2011 0.62198 38.7 3003 79476
spa-ces newstest2011 0.48837 20.9 3003 65653
spa-deu newstest2011 0.51765 22.3 3003 72981
spa-eng newstest2011 0.58478 32.0 3003 74681
spa-fra newstest2011 0.60332 33.6 3003 80626
deu-ces newstest2012 0.47349 19.3 3003 65456
deu-eng newstest2012 0.54991 27.0 3003 72812
deu-fra newstest2012 0.54838 26.2 3003 78011
deu-rus newstest2012 0.47331 17.8 3003 64790
deu-spa newstest2012 0.56115 29.7 3003 79006
eng-ces newstest2012 0.47312 19.2 3003 65456
eng-deu newstest2012 0.51588 22.0 3003 72886
eng-fra newstest2012 0.58096 30.1 3003 78011
eng-rus newstest2012 0.58916 30.8 3003 64790
eng-spa newstest2012 0.61457 37.2 3003 79006
fra-ces newstest2012 0.47412 19.8 3003 65456
fra-deu newstest2012 0.51511 22.3 3003 72886
fra-eng newstest2012 0.58053 31.4 3003 72812
fra-rus newstest2012 0.49149 20.1 3003 64790
fra-spa newstest2012 0.61788 37.9 3003 79006
spa-ces newstest2012 0.47397 19.8 3003 65456
spa-deu newstest2012 0.52060 22.7 3003 72886
spa-eng newstest2012 0.60936 35.9 3003 72812
spa-fra newstest2012 0.60277 33.5 3003 78011
spa-rus newstest2012 0.50113 21.2 3003 64790
deu-ces newstest2013 0.49584 22.1 3000 57250
deu-eng newstest2013 0.56741 30.2 3000 64505
deu-fra newstest2013 0.54857 27.6 3000 70037
deu-rus newstest2013 0.49961 21.3 3000 58560
deu-spa newstest2013 0.55886 30.1 3000 70528
eng-ces newstest2013 0.50582 23.3 3000 57250
eng-deu newstest2013 0.54401 25.8 3000 63737
eng-fra newstest2013 0.57648 31.4 3000 70037
eng-rus newstest2013 0.51291 22.7 3000 58560
eng-spa newstest2013 0.58821 33.7 3000 70528
fra-ces newstest2013 0.48374 21.2 3000 57250
fra-deu newstest2013 0.52935 24.2 3000 63737
fra-eng newstest2013 0.58033 32.7 3000 64505
fra-rus newstest2013 0.50016 21.5 3000 58560
fra-spa newstest2013 0.58532 33.6 3000 70528
spa-ces newstest2013 0.49954 22.8 3000 57250
spa-deu newstest2013 0.53643 24.7 3000 63737
spa-eng newstest2013 0.59270 33.2 3000 64505
spa-fra newstest2013 0.58979 33.0 3000 70037
spa-rus newstest2013 0.51659 23.3 3000 58560
deu-eng newstest2014 0.57690 30.3 3003 67337
eng-ces newstest2014 0.54124 25.2 3003 59902
eng-deu newstest2014 0.56967 25.8 3003 62688
eng-fra newstest2014 0.63245 37.3 3003 77306
eng-hin newstest2014 0.48263 20.4 2507 60872
eng-rus newstest2014 0.61540 33.8 3003 61603
fra-eng newstest2014 0.61729 35.4 3003 70708
deu-eng newstest2015 0.58051 31.5 2169 46443
eng-ces newstest2015 0.50901 22.1 2656 45858
eng-deu newstest2015 0.58038 29.6 2169 44260
eng-rus newstest2015 0.56909 28.0 2818 55920
deu-eng newstest2016 0.62651 37.1 2999 64119
eng-ces newstest2016 0.53138 25.4 2999 56998
eng-deu newstest2016 0.62052 35.2 2999 62669
eng-ron newstest2016 0.57801 30.1 1999 48945
eng-rus newstest2016 0.55239 26.3 2998 62014
deu-eng newstest2017 0.59034 32.9 3004 64399
eng-ces newstest2017 0.49009 20.9 3005 54361
eng-deu newstest2017 0.57301 28.3 3004 61287
eng-lav newstest2017 0.49647 17.3 2001 39392
eng-rus newstest2017 0.57889 29.5 3001 60253
deu-eng newstest2018 0.64488 39.9 2998 67012
eng-ces newstest2018 0.49105 20.2 2983 54652
eng-deu newstest2018 0.66353 41.7 2998 64276
eng-rus newstest2018 0.55568 25.6 3000 61907
deu-ces newstest2019 0.48893 20.5 1997 43113
deu-eng newstest2019 0.61048 35.6 2000 39227
deu-fra newstest2019 0.61083 33.4 1701 42509
eng-ces newstest2019 0.50528 22.0 1997 43113
eng-deu newstest2019 0.63438 37.7 1997 48746
eng-guj newstest2019 0.46302 15.3 998 21924
eng-lit newstest2019 0.48848 16.0 998 19711
eng-rus newstest2019 0.53243 25.9 1997 48147
fra-deu newstest2019 0.58722 26.9 1701 36446
deu-eng newstest2020 0.57511 30.8 785 38220
deu-fra newstest2020 0.58907 30.9 1619 36890
eng-deu newstest2020 0.56905 28.2 1418 52383
eng-pol newstest2020 0.51806 21.6 1000 23855
eng-rus newstest2020 0.49190 20.9 2002 47083
fra-deu newstest2020 0.58687 25.9 1619 30265
deu-eng newstest2021 0.58074 29.6 1000 20180
deu-fra newstest2021 0.57642 29.9 1000 23757
eng-ces newstest2021 0.45921 15.9 1002 25589
eng-deu newstest2021 0.54593 23.8 1002 27970
eng-isl newstest2021 0.46926 18.6 1000 25233
eng-rus newstest2021 0.50587 22.1 1002 26095
fra-deu newstest2021 0.62883 36.0 1026 26077
deu-eng newstestALL2020 0.57511 30.8 785 38220
eng-deu newstestALL2020 0.56905 28.2 1418 52383
deu-eng newstestB2020 0.57270 30.4 785 37696
eng-deu newstestB2020 0.55895 27.8 1418 53092
deu-afr ntrex128 0.55112 25.2 1997 50050
deu-bel ntrex128 0.43275 14.7 1997 43951
deu-ben ntrex128 0.40104 6.3 1997 40095
deu-bul ntrex128 0.50482 22.6 1997 48832
deu-cat ntrex128 0.53145 25.8 1997 53438
deu-ces ntrex128 0.49340 20.9 1997 43356
deu-cym ntrex128 0.46757 16.9 1997 51768
deu-dan ntrex128 0.54629 27.2 1997 47643
deu-div ntrex128 9.726 0.0 1997 37802
deu-ell ntrex128 0.47825 21.0 1997 52028
deu-eng ntrex128 0.60047 31.8 1997 47673
deu-fas ntrex128 0.40193 12.7 1997 50525
deu-fra ntrex128 0.54175 26.6 1997 53481
deu-gle ntrex128 0.42902 13.7 1997 55846
deu-glg ntrex128 0.53430 25.5 1997 50432
deu-hin ntrex128 0.41309 15.0 1997 55219
deu-hrv ntrex128 0.51998 22.0 1997 44449
deu-isl ntrex128 0.44649 16.0 1997 46643
deu-ita ntrex128 0.54145 24.8 1997 50759
deu-lav ntrex128 0.45243 14.0 1997 44709
deu-lit ntrex128 0.47694 15.1 1997 41189
deu-ltz ntrex128 0.45326 13.1 1997 49763
deu-mkd ntrex128 0.52189 21.8 1997 47552
deu-nld ntrex128 0.55518 26.0 1997 51884
deu-nno ntrex128 0.49799 20.2 1997 46512
deu-nob ntrex128 0.54700 25.7 1997 45501
deu-pol ntrex128 0.47430 18.1 1997 44700
deu-por ntrex128 0.53262 24.6 1997 51631
deu-ron ntrex128 0.51091 24.2 1997 53498
deu-rus ntrex128 0.47374 20.0 1997 45714
deu-slk ntrex128 0.47850 19.9 1997 44242
deu-slv ntrex128 0.50797 21.7 1997 46072
deu-snd_Arab ntrex128 0.646 0.1 1997 49866
deu-spa ntrex128 0.55580 28.9 1997 54107
deu-sqi ntrex128 0.50383 21.4 1997 54563
deu-swe ntrex128 0.56144 26.9 1997 44889
deu-ukr ntrex128 0.45481 16.5 1997 45346
eng-afr ntrex128 0.66106 40.7 1997 50050
eng-bel ntrex128 0.47642 19.3 1997 43951
eng-ben ntrex128 0.44938 10.2 1997 40095
eng-bul ntrex128 0.55238 28.3 1997 48832
eng-cat ntrex128 0.59563 33.8 1997 53438
eng-ces ntrex128 0.54586 26.4 1997 43356
eng-cym ntrex128 0.54759 26.0 1997 51768
eng-dan ntrex128 0.60350 35.6 1997 47643
eng-deu ntrex128 0.57027 27.9 1997 48761
eng-div ntrex128 9.103 0.0 1997 37802
eng-ell ntrex128 0.53745 28.5 1997 52028
eng-fas ntrex128 0.44487 17.0 1997 50525
eng-fra ntrex128 0.59630 32.9 1997 53481
eng-gle ntrex128 0.48192 19.0 1997 55846
eng-glg ntrex128 0.60389 34.3 1997 50432
eng-guj ntrex128 0.40892 10.6 1997 45335
eng-hin ntrex128 0.48575 22.9 1997 55219
eng-hrv ntrex128 0.58236 30.0 1997 44449
eng-isl ntrex128 0.48066 20.3 1997 46643
eng-ita ntrex128 0.60485 33.7 1997 50759
eng-lav ntrex128 0.49041 17.5 1997 44709
eng-lit ntrex128 0.51230 18.3 1997 41189
eng-ltz ntrex128 0.46754 15.0 1997 49763
eng-mkd ntrex128 0.59421 30.5 1997 47552
eng-nld ntrex128 0.59539 31.7 1997 51884
eng-nno ntrex128 0.58757 30.9 1997 46512
eng-nob ntrex128 0.61045 35.2 1997 45501
eng-pol ntrex128 0.50306 21.5 1997 44700
eng-por ntrex128 0.59064 32.3 1997 51631
eng-prs ntrex128 0.40486 13.7 1997 52316
eng-ron ntrex128 0.56071 30.3 1997 53498
eng-rus ntrex128 0.52359 26.5 1997 45714
eng-slk ntrex128 0.54391 26.5 1997 44242
eng-slv ntrex128 0.54372 25.9 1997 46072
eng-snd_Arab ntrex128 0.659 0.1 1997 49866
eng-spa ntrex128 0.62654 38.1 1997 54107
eng-sqi ntrex128 0.56845 30.7 1997 54563
eng-srp_Cyrl ntrex128 0.43244 18.5 1997 45487
eng-swe ntrex128 0.64175 38.8 1997 44889
eng-ukr ntrex128 0.49480 21.0 1997 45346
eng-urd ntrex128 0.44382 17.8 1997 54259
fra-afr ntrex128 0.53285 23.8 1997 50050
fra-bel ntrex128 0.42933 14.5 1997 43951
fra-bul ntrex128 0.50188 22.6 1997 48832
fra-cat ntrex128 0.54019 26.5 1997 53438
fra-ces ntrex128 0.47876 19.4 1997 43356
fra-cym ntrex128 0.47101 18.2 1997 51768
fra-dan ntrex128 0.52518 25.5 1997 47643
fra-deu ntrex128 0.51567 21.8 1997 48761
fra-div ntrex128 9.433 0.0 1997 37802
fra-ell ntrex128 0.47986 21.3 1997 52028
fra-eng ntrex128 0.59200 31.6 1997 47673
fra-gle ntrex128 0.42837 13.5 1997 55846
fra-glg ntrex128 0.54310 26.4 1997 50432
fra-hin ntrex128 0.41234 15.4 1997 55219
fra-hrv ntrex128 0.51276 21.4 1997 44449
fra-isl ntrex128 0.44117 16.4 1997 46643
fra-ita ntrex128 0.55460 26.5 1997 50759
fra-lav ntrex128 0.44057 13.3 1997 44709
fra-lit ntrex128 0.46745 13.9 1997 41189
fra-ltz ntrex128 0.42060 11.2 1997 49763
fra-mkd ntrex128 0.51077 20.7 1997 47552
fra-nld ntrex128 0.53226 23.6 1997 51884
fra-nno ntrex128 0.48806 19.5 1997 46512
fra-nob ntrex128 0.52610 24.2 1997 45501
fra-pol ntrex128 0.46942 17.9 1997 44700
fra-por ntrex128 0.53724 25.2 1997 51631
fra-ron ntrex128 0.51064 23.7 1997 53498
fra-rus ntrex128 0.47588 20.7 1997 45714
fra-slk ntrex128 0.46230 18.1 1997 44242
fra-slv ntrex128 0.49389 20.4 1997 46072
fra-snd_Arab ntrex128 0.494 0.1 1997 49866
fra-spa ntrex128 0.56432 30.0 1997 54107
fra-sqi ntrex128 0.50181 21.7 1997 54563
fra-swe ntrex128 0.54462 25.8 1997 44889
fra-ukr ntrex128 0.44589 15.8 1997 45346
por-afr ntrex128 0.56124 26.6 1997 50050
por-bel ntrex128 0.44346 15.4 1997 43951
por-bul ntrex128 0.51578 24.1 1997 48832
por-cat ntrex128 0.57052 30.4 1997 53438
por-ces ntrex128 0.49385 21.0 1997 43356
por-cym ntrex128 0.47606 18.0 1997 51768
por-dan ntrex128 0.54564 27.9 1997 47643
por-deu ntrex128 0.53023 22.6 1997 48761
por-div ntrex128 8.442 0.0 1997 37802
por-ell ntrex128 0.50229 24.0 1997 52028
por-eng ntrex128 0.62761 36.2 1997 47673
por-fas ntrex128 0.40704 13.2 1997 50525
por-fra ntrex128 0.55864 27.9 1997 53481
por-gle ntrex128 0.43855 14.4 1997 55846
por-glg ntrex128 0.56576 28.9 1997 50432
por-hin ntrex128 0.41906 16.1 1997 55219
por-hrv ntrex128 0.52756 22.9 1997 44449
por-isl ntrex128 0.44649 16.4 1997 46643
por-ita ntrex128 0.57836 29.5 1997 50759
por-lav ntrex128 0.45519 14.3 1997 44709
por-lit ntrex128 0.48342 15.2 1997 41189
por-mkd ntrex128 0.53728 23.3 1997 47552
por-nld ntrex128 0.54708 25.9 1997 51884
por-nno ntrex128 0.50133 20.9 1997 46512
por-nob ntrex128 0.54357 25.6 1997 45501
por-pol ntrex128 0.47970 18.5 1997 44700
por-ron ntrex128 0.53061 26.3 1997 53498
por-rus ntrex128 0.48075 21.3 1997 45714
por-slk ntrex128 0.47540 19.2 1997 44242
por-slv ntrex128 0.50780 21.9 1997 46072
por-snd_Arab ntrex128 0.565 0.1 1997 49866
por-spa ntrex128 0.58969 33.3 1997 54107
por-sqi ntrex128 0.52446 25.0 1997 54563
por-srp_Cyrl ntrex128 0.40145 14.6 1997 45487
por-swe ntrex128 0.55721 26.9 1997 44889
por-ukr ntrex128 0.46398 17.9 1997 45346
spa-afr ntrex128 0.55892 25.5 1997 50050
spa-bel ntrex128 0.44316 15.1 1997 43951
spa-ben ntrex128 0.40604 6.6 1997 40095
spa-bul ntrex128 0.51341 23.6 1997 48832
spa-cat ntrex128 0.60359 33.7 1997 53438
spa-ces ntrex128 0.49078 20.2 1997 43356
spa-cym ntrex128 0.48640 19.0 1997 51768
spa-dan ntrex128 0.54368 26.6 1997 47643
spa-deu ntrex128 0.52793 22.0 1997 48761
spa-div ntrex128 8.405 0.0 1997 37802
spa-ell ntrex128 0.49688 23.5 1997 52028
spa-eng ntrex128 0.62576 34.6 1997 47673
spa-fas ntrex128 0.41004 13.0 1997 50525
spa-fra ntrex128 0.56440 28.5 1997 53481
spa-gle ntrex128 0.44229 14.7 1997 55846
spa-glg ntrex128 0.60955 33.9 1997 50432
spa-hin ntrex128 0.42185 16.1 1997 55219
spa-hrv ntrex128 0.53061 22.8 1997 44449
spa-isl ntrex128 0.45185 17.1 1997 46643
spa-ita ntrex128 0.56945 27.9 1997 50759
spa-lav ntrex128 0.45424 14.2 1997 44709
spa-lit ntrex128 0.48405 15.5 1997 41189
spa-mkd ntrex128 0.53653 22.9 1997 47552
spa-nld ntrex128 0.54795 25.6 1997 51884
spa-nno ntrex128 0.50373 20.9 1997 46512
spa-nob ntrex128 0.54331 25.4 1997 45501
spa-pol ntrex128 0.47592 18.3 1997 44700
spa-por ntrex128 0.56627 28.8 1997 51631
spa-ron ntrex128 0.53162 26.5 1997 53498
spa-rus ntrex128 0.48366 21.3 1997 45714
spa-slk ntrex128 0.47742 19.5 1997 44242
spa-slv ntrex128 0.50955 21.5 1997 46072
spa-snd_Arab ntrex128 0.611 0.1 1997 49866
spa-sqi ntrex128 0.52450 24.1 1997 54563
spa-srp_Cyrl ntrex128 0.40529 14.8 1997 45487
spa-swe ntrex128 0.55918 26.5 1997 44889
spa-ukr ntrex128 0.46554 18.0 1997 45346
eng-ben tico19-test 0.43061 12.1 2100 51695
eng-fas tico19-test 0.49470 21.5 2100 59779
eng-fra tico19-test 0.60842 37.1 2100 64661
eng-hin tico19-test 0.56535 33.7 2100 62680
eng-nep tico19-test 0.43865 10.6 2100 48363
eng-por tico19-test 0.70681 46.5 2100 62729
eng-prs tico19-test 0.42390 16.0 2100 62972
eng-rus tico19-test 0.54724 27.3 2100 55843
eng-spa tico19-test 0.70628 47.9 2100 66563
eng-urd tico19-test 0.44071 16.9 2100 65312
fra-eng tico19-test 0.60880 37.3 2100 56323
fra-fas tico19-test 0.41606 15.7 2100 59779
fra-hin tico19-test 0.45682 22.6 2100 62680
fra-por tico19-test 0.57865 33.3 2100 62729
fra-rus tico19-test 0.47330 21.3 2100 55843
fra-spa tico19-test 0.58605 35.3 2100 66563
por-eng tico19-test 0.72407 49.2 2100 56315
por-fas tico19-test 0.46862 18.3 2100 59779
por-fra tico19-test 0.58796 33.5 2100 64661
por-hin tico19-test 0.52110 27.5 2100 62680
por-nep tico19-test 0.41083 7.9 2100 48363
por-rus tico19-test 0.52261 24.0 2100 55843
por-spa tico19-test 0.67491 43.7 2100 66563
por-urd tico19-test 0.41511 14.4 2100 65312
spa-ben tico19-test 0.40476 9.3 2100 51695
spa-eng tico19-test 0.70962 47.1 2100 56315
spa-fas tico19-test 0.46948 18.4 2100 59779
spa-fra tico19-test 0.59250 34.3 2100 64661
spa-hin tico19-test 0.51847 27.4 2100 62680
spa-nep tico19-test 0.40390 7.3 2100 48363
spa-por tico19-test 0.66969 41.5 2100 62729
spa-prs tico19-test 0.40661 13.3 2100 62972
spa-rus tico19-test 0.53338 25.0 2100 55843
spa-urd tico19-test 0.41128 13.9 2100 65312

Citation Information 

@article{tiedemann2023democratizing,
  title={Democratizing neural machine translation with {OPUS-MT}},
  author={Tiedemann, J{\"o}rg and Aulamo, Mikko and Bakshandaeva, Daria and Boggia, Michele and Gr{\"o}nroos, Stig-Arne and Nieminen, Tommi and Raganato, Alessandro and Scherrer, Yves and Vazquez, Raul and Virpioja, Sami},
  journal={Language Resources and Evaluation},
  number={58},
  pages={713--755},
  year={2023},
  publisher={Springer Nature},
  issn={1574-0218},
  doi={10.1007/s10579-023-09704-w}
}

@inproceedings{tiedemann-thottingal-2020-opus,
    title = "{OPUS}-{MT} {--} Building open translation services for the World",
    author = {Tiedemann, J{\"o}rg  and Thottingal, Santhosh},
    booktitle = "Proceedings of the 22nd Annual Conference of the European Association for Machine Translation",
    month = nov,
    year = "2020",
    address = "Lisboa, Portugal",
    publisher = "European Association for Machine Translation",
    url = "https://aclanthology.org/2020.eamt-1.61",
    pages = "479--480",
}

@inproceedings{tiedemann-2020-tatoeba,
    title = "The Tatoeba Translation Challenge {--} Realistic Data Sets for Low Resource and Multilingual {MT}",
    author = {Tiedemann, J{\"o}rg},
    booktitle = "Proceedings of the Fifth Conference on Machine Translation",
    month = nov,
    year = "2020",
    address = "Online",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2020.wmt-1.139",
    pages = "1174--1182",
}

Acknowledgements

The work is supported by the HPLT project, funded by the European Union’s Horizon Europe research and innovation programme under grant agreement No 101070350. We are also grateful for the generous computational resources and IT infrastructure provided by CSC -- IT Center for Science, Finland, and the EuroHPC supercomputer LUMI.

Model conversion info

  • transformers version: 4.45.1
  • OPUS-MT git hash: 0882077
  • port time: Tue Oct 8 10:12:36 EEST 2024
  • port machine: LM0-400-22516.local
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Evaluation results

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