Hugging Face's logo

Helsinki-NLP
/
opus-mt-mul-en

Translation
Transformers
PyTorch
TensorFlow
marian
text2text-generation
Inference Endpoints
Model card Files Community
13
opus-mt-mul-en / README.md
system's picture
system HF staff
Update README.md
ab068cb
preview code
|
raw
history blame contribute delete
24.4 kB
metadata
language:
  - 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
  - en
tags:
  - translation
license: apache-2.0

mul-eng

  • source group: Multiple languages

  • target group: English

  • OPUS readme: mul-eng

  • model: transformer

  • source language(s): abk acm ady afb afh_Latn afr akl_Latn aln amh ang_Latn apc ara arg arq ary arz asm ast avk_Latn awa aze_Latn bak bam_Latn bel bel_Latn ben bho bod bos_Latn bre brx brx_Latn bul bul_Latn cat ceb ces cha che chr chv cjy_Hans cjy_Hant cmn cmn_Hans cmn_Hant cor cos crh crh_Latn csb_Latn cym dan deu dsb dtp dws_Latn egl ell enm_Latn epo est eus ewe ext fao fij fin fkv_Latn fra frm_Latn frr fry fuc fuv gan gcf_Latn gil gla gle glg glv gom gos got_Goth grc_Grek grn gsw guj hat hau_Latn haw heb hif_Latn hil hin hnj_Latn hoc hoc_Latn hrv hsb hun hye iba ibo ido ido_Latn ike_Latn ile_Latn ilo ina_Latn ind isl ita izh jav jav_Java jbo jbo_Cyrl jbo_Latn jdt_Cyrl jpn kab kal kan kat kaz_Cyrl kaz_Latn kek_Latn kha khm khm_Latn kin kir_Cyrl kjh kpv krl ksh kum kur_Arab kur_Latn lad lad_Latn lao lat_Latn lav ldn_Latn lfn_Cyrl lfn_Latn lij lin lit liv_Latn lkt lld_Latn lmo ltg ltz lug lzh lzh_Hans mad mah mai mal mar max_Latn mdf mfe mhr mic min mkd mlg mlt mnw moh mon mri mwl mww mya myv nan nau nav nds niu nld nno nob nob_Hebr nog non_Latn nov_Latn npi nya oci ori orv_Cyrl oss ota_Arab ota_Latn pag pan_Guru pap pau pdc pes pes_Latn pes_Thaa pms pnb pol por ppl_Latn prg_Latn pus quc qya qya_Latn rap rif_Latn roh rom ron rue run rus sag sah san_Deva scn sco sgs shs_Latn shy_Latn sin sjn_Latn slv sma sme smo sna snd_Arab som spa sqi srp_Cyrl srp_Latn stq sun swe swg swh tah tam tat tat_Arab tat_Latn tel tet tgk_Cyrl tha tir tlh_Latn tly_Latn tmw_Latn toi_Latn ton tpw_Latn tso tuk tuk_Latn tur tvl tyv tzl tzl_Latn udm uig_Arab uig_Cyrl ukr umb urd uzb_Cyrl uzb_Latn vec vie vie_Hani vol_Latn vro war wln wol wuu xal xho yid yor yue yue_Hans yue_Hant zho zho_Hans zho_Hant zlm_Latn zsm_Latn zul zza

  • target language(s): eng

  • model: transformer

  • pre-processing: normalization + SentencePiece (spm32k,spm32k)

  • download original weights: opus2m-2020-08-01.zip

  • test set translations: opus2m-2020-08-01.test.txt

  • test set scores: opus2m-2020-08-01.eval.txt

Benchmarks

testset BLEU chr-F
newsdev2014-hineng.hin.eng 8.5 0.341
newsdev2015-enfi-fineng.fin.eng 16.8 0.441
newsdev2016-enro-roneng.ron.eng 31.3 0.580
newsdev2016-entr-tureng.tur.eng 16.4 0.422
newsdev2017-enlv-laveng.lav.eng 21.3 0.502
newsdev2017-enzh-zhoeng.zho.eng 12.7 0.409
newsdev2018-enet-esteng.est.eng 19.8 0.467
newsdev2019-engu-gujeng.guj.eng 13.3 0.385
newsdev2019-enlt-liteng.lit.eng 19.9 0.482
newsdiscussdev2015-enfr-fraeng.fra.eng 26.7 0.520
newsdiscusstest2015-enfr-fraeng.fra.eng 29.8 0.541
newssyscomb2009-ceseng.ces.eng 21.1 0.487
newssyscomb2009-deueng.deu.eng 22.6 0.499
newssyscomb2009-fraeng.fra.eng 25.8 0.530
newssyscomb2009-huneng.hun.eng 15.1 0.430
newssyscomb2009-itaeng.ita.eng 29.4 0.555
newssyscomb2009-spaeng.spa.eng 26.1 0.534
news-test2008-deueng.deu.eng 21.6 0.491
news-test2008-fraeng.fra.eng 22.3 0.502
news-test2008-spaeng.spa.eng 23.6 0.514
newstest2009-ceseng.ces.eng 19.8 0.480
newstest2009-deueng.deu.eng 20.9 0.487
newstest2009-fraeng.fra.eng 25.0 0.523
newstest2009-huneng.hun.eng 14.7 0.425
newstest2009-itaeng.ita.eng 27.6 0.542
newstest2009-spaeng.spa.eng 25.7 0.530
newstest2010-ceseng.ces.eng 20.6 0.491
newstest2010-deueng.deu.eng 23.4 0.517
newstest2010-fraeng.fra.eng 26.1 0.537
newstest2010-spaeng.spa.eng 29.1 0.561
newstest2011-ceseng.ces.eng 21.0 0.489
newstest2011-deueng.deu.eng 21.3 0.494
newstest2011-fraeng.fra.eng 26.8 0.546
newstest2011-spaeng.spa.eng 28.2 0.549
newstest2012-ceseng.ces.eng 20.5 0.485
newstest2012-deueng.deu.eng 22.3 0.503
newstest2012-fraeng.fra.eng 27.5 0.545
newstest2012-ruseng.rus.eng 26.6 0.532
newstest2012-spaeng.spa.eng 30.3 0.567
newstest2013-ceseng.ces.eng 22.5 0.498
newstest2013-deueng.deu.eng 25.0 0.518
newstest2013-fraeng.fra.eng 27.4 0.537
newstest2013-ruseng.rus.eng 21.6 0.484
newstest2013-spaeng.spa.eng 28.4 0.555
newstest2014-csen-ceseng.ces.eng 24.0 0.517
newstest2014-deen-deueng.deu.eng 24.1 0.511
newstest2014-fren-fraeng.fra.eng 29.1 0.563
newstest2014-hien-hineng.hin.eng 14.0 0.414
newstest2014-ruen-ruseng.rus.eng 24.0 0.521
newstest2015-encs-ceseng.ces.eng 21.9 0.481
newstest2015-ende-deueng.deu.eng 25.5 0.519
newstest2015-enfi-fineng.fin.eng 17.4 0.441
newstest2015-enru-ruseng.rus.eng 22.4 0.494
newstest2016-encs-ceseng.ces.eng 23.0 0.500
newstest2016-ende-deueng.deu.eng 30.1 0.560
newstest2016-enfi-fineng.fin.eng 18.5 0.461
newstest2016-enro-roneng.ron.eng 29.6 0.562
newstest2016-enru-ruseng.rus.eng 22.0 0.495
newstest2016-entr-tureng.tur.eng 14.8 0.415
newstest2017-encs-ceseng.ces.eng 20.2 0.475
newstest2017-ende-deueng.deu.eng 26.0 0.523
newstest2017-enfi-fineng.fin.eng 19.6 0.465
newstest2017-enlv-laveng.lav.eng 16.2 0.454
newstest2017-enru-ruseng.rus.eng 24.2 0.510
newstest2017-entr-tureng.tur.eng 15.0 0.412
newstest2017-enzh-zhoeng.zho.eng 13.7 0.412
newstest2018-encs-ceseng.ces.eng 21.2 0.486
newstest2018-ende-deueng.deu.eng 31.5 0.564
newstest2018-enet-esteng.est.eng 19.7 0.473
newstest2018-enfi-fineng.fin.eng 15.1 0.418
newstest2018-enru-ruseng.rus.eng 21.3 0.490
newstest2018-entr-tureng.tur.eng 15.4 0.421
newstest2018-enzh-zhoeng.zho.eng 12.9 0.408
newstest2019-deen-deueng.deu.eng 27.0 0.529
newstest2019-fien-fineng.fin.eng 17.2 0.438
newstest2019-guen-gujeng.guj.eng 9.0 0.342
newstest2019-lten-liteng.lit.eng 22.6 0.512
newstest2019-ruen-ruseng.rus.eng 24.1 0.503
newstest2019-zhen-zhoeng.zho.eng 13.9 0.427
newstestB2016-enfi-fineng.fin.eng 15.2 0.428
newstestB2017-enfi-fineng.fin.eng 16.8 0.442
newstestB2017-fien-fineng.fin.eng 16.8 0.442
Tatoeba-test.abk-eng.abk.eng 2.4 0.190
Tatoeba-test.ady-eng.ady.eng 1.1 0.111
Tatoeba-test.afh-eng.afh.eng 1.7 0.108
Tatoeba-test.afr-eng.afr.eng 53.0 0.672
Tatoeba-test.akl-eng.akl.eng 5.9 0.239
Tatoeba-test.amh-eng.amh.eng 25.6 0.464
Tatoeba-test.ang-eng.ang.eng 11.7 0.289
Tatoeba-test.ara-eng.ara.eng 26.4 0.443
Tatoeba-test.arg-eng.arg.eng 35.9 0.473
Tatoeba-test.asm-eng.asm.eng 19.8 0.365
Tatoeba-test.ast-eng.ast.eng 31.8 0.467
Tatoeba-test.avk-eng.avk.eng 0.4 0.119
Tatoeba-test.awa-eng.awa.eng 9.7 0.271
Tatoeba-test.aze-eng.aze.eng 37.0 0.542
Tatoeba-test.bak-eng.bak.eng 13.9 0.395
Tatoeba-test.bam-eng.bam.eng 2.2 0.094
Tatoeba-test.bel-eng.bel.eng 36.8 0.549
Tatoeba-test.ben-eng.ben.eng 39.7 0.546
Tatoeba-test.bho-eng.bho.eng 33.6 0.540
Tatoeba-test.bod-eng.bod.eng 1.1 0.147
Tatoeba-test.bre-eng.bre.eng 14.2 0.303
Tatoeba-test.brx-eng.brx.eng 1.7 0.130
Tatoeba-test.bul-eng.bul.eng 46.0 0.621
Tatoeba-test.cat-eng.cat.eng 46.6 0.636
Tatoeba-test.ceb-eng.ceb.eng 17.4 0.347
Tatoeba-test.ces-eng.ces.eng 41.3 0.586
Tatoeba-test.cha-eng.cha.eng 7.9 0.232
Tatoeba-test.che-eng.che.eng 0.7 0.104
Tatoeba-test.chm-eng.chm.eng 7.3 0.261
Tatoeba-test.chr-eng.chr.eng 8.8 0.244
Tatoeba-test.chv-eng.chv.eng 11.0 0.319
Tatoeba-test.cor-eng.cor.eng 5.4 0.204
Tatoeba-test.cos-eng.cos.eng 58.2 0.643
Tatoeba-test.crh-eng.crh.eng 26.3 0.399
Tatoeba-test.csb-eng.csb.eng 18.8 0.389
Tatoeba-test.cym-eng.cym.eng 23.4 0.407
Tatoeba-test.dan-eng.dan.eng 50.5 0.659
Tatoeba-test.deu-eng.deu.eng 39.6 0.579
Tatoeba-test.dsb-eng.dsb.eng 24.3 0.449
Tatoeba-test.dtp-eng.dtp.eng 1.0 0.149
Tatoeba-test.dws-eng.dws.eng 1.6 0.061
Tatoeba-test.egl-eng.egl.eng 7.6 0.236
Tatoeba-test.ell-eng.ell.eng 55.4 0.682
Tatoeba-test.enm-eng.enm.eng 28.0 0.489
Tatoeba-test.epo-eng.epo.eng 41.8 0.591
Tatoeba-test.est-eng.est.eng 41.5 0.581
Tatoeba-test.eus-eng.eus.eng 37.8 0.557
Tatoeba-test.ewe-eng.ewe.eng 10.7 0.262
Tatoeba-test.ext-eng.ext.eng 25.5 0.405
Tatoeba-test.fao-eng.fao.eng 28.7 0.469
Tatoeba-test.fas-eng.fas.eng 7.5 0.281
Tatoeba-test.fij-eng.fij.eng 24.2 0.320
Tatoeba-test.fin-eng.fin.eng 35.8 0.534
Tatoeba-test.fkv-eng.fkv.eng 15.5 0.434
Tatoeba-test.fra-eng.fra.eng 45.1 0.618
Tatoeba-test.frm-eng.frm.eng 29.6 0.427
Tatoeba-test.frr-eng.frr.eng 5.5 0.138
Tatoeba-test.fry-eng.fry.eng 25.3 0.455
Tatoeba-test.ful-eng.ful.eng 1.1 0.127
Tatoeba-test.gcf-eng.gcf.eng 16.0 0.315
Tatoeba-test.gil-eng.gil.eng 46.7 0.587
Tatoeba-test.gla-eng.gla.eng 20.2 0.358
Tatoeba-test.gle-eng.gle.eng 43.9 0.592
Tatoeba-test.glg-eng.glg.eng 45.1 0.623
Tatoeba-test.glv-eng.glv.eng 3.3 0.119
Tatoeba-test.gos-eng.gos.eng 20.1 0.364
Tatoeba-test.got-eng.got.eng 0.1 0.041
Tatoeba-test.grc-eng.grc.eng 2.1 0.137
Tatoeba-test.grn-eng.grn.eng 1.7 0.152
Tatoeba-test.gsw-eng.gsw.eng 18.2 0.334
Tatoeba-test.guj-eng.guj.eng 21.7 0.373
Tatoeba-test.hat-eng.hat.eng 34.5 0.502
Tatoeba-test.hau-eng.hau.eng 10.5 0.295
Tatoeba-test.haw-eng.haw.eng 2.8 0.160
Tatoeba-test.hbs-eng.hbs.eng 46.7 0.623
Tatoeba-test.heb-eng.heb.eng 33.0 0.492
Tatoeba-test.hif-eng.hif.eng 17.0 0.391
Tatoeba-test.hil-eng.hil.eng 16.0 0.339
Tatoeba-test.hin-eng.hin.eng 36.4 0.533
Tatoeba-test.hmn-eng.hmn.eng 0.4 0.131
Tatoeba-test.hoc-eng.hoc.eng 0.7 0.132
Tatoeba-test.hsb-eng.hsb.eng 41.9 0.551
Tatoeba-test.hun-eng.hun.eng 33.2 0.510
Tatoeba-test.hye-eng.hye.eng 32.2 0.487
Tatoeba-test.iba-eng.iba.eng 9.4 0.278
Tatoeba-test.ibo-eng.ibo.eng 5.8 0.200
Tatoeba-test.ido-eng.ido.eng 31.7 0.503
Tatoeba-test.iku-eng.iku.eng 9.1 0.164
Tatoeba-test.ile-eng.ile.eng 42.2 0.595
Tatoeba-test.ilo-eng.ilo.eng 29.7 0.485
Tatoeba-test.ina-eng.ina.eng 42.1 0.607
Tatoeba-test.isl-eng.isl.eng 35.7 0.527
Tatoeba-test.ita-eng.ita.eng 54.8 0.686
Tatoeba-test.izh-eng.izh.eng 28.3 0.526
Tatoeba-test.jav-eng.jav.eng 10.0 0.282
Tatoeba-test.jbo-eng.jbo.eng 0.3 0.115
Tatoeba-test.jdt-eng.jdt.eng 5.3 0.140
Tatoeba-test.jpn-eng.jpn.eng 18.8 0.387
Tatoeba-test.kab-eng.kab.eng 3.9 0.205
Tatoeba-test.kal-eng.kal.eng 16.9 0.329
Tatoeba-test.kan-eng.kan.eng 16.2 0.374
Tatoeba-test.kat-eng.kat.eng 31.1 0.493
Tatoeba-test.kaz-eng.kaz.eng 24.5 0.437
Tatoeba-test.kek-eng.kek.eng 7.4 0.192
Tatoeba-test.kha-eng.kha.eng 1.0 0.154
Tatoeba-test.khm-eng.khm.eng 12.2 0.290
Tatoeba-test.kin-eng.kin.eng 22.5 0.355
Tatoeba-test.kir-eng.kir.eng 27.2 0.470
Tatoeba-test.kjh-eng.kjh.eng 2.1 0.129
Tatoeba-test.kok-eng.kok.eng 4.5 0.259
Tatoeba-test.kom-eng.kom.eng 1.4 0.099
Tatoeba-test.krl-eng.krl.eng 26.1 0.387
Tatoeba-test.ksh-eng.ksh.eng 5.5 0.256
Tatoeba-test.kum-eng.kum.eng 9.3 0.288
Tatoeba-test.kur-eng.kur.eng 9.6 0.208
Tatoeba-test.lad-eng.lad.eng 30.1 0.475
Tatoeba-test.lah-eng.lah.eng 11.6 0.284
Tatoeba-test.lao-eng.lao.eng 4.5 0.214
Tatoeba-test.lat-eng.lat.eng 21.5 0.402
Tatoeba-test.lav-eng.lav.eng 40.2 0.577
Tatoeba-test.ldn-eng.ldn.eng 0.8 0.115
Tatoeba-test.lfn-eng.lfn.eng 23.0 0.433
Tatoeba-test.lij-eng.lij.eng 9.3 0.287
Tatoeba-test.lin-eng.lin.eng 2.4 0.196
Tatoeba-test.lit-eng.lit.eng 44.0 0.597
Tatoeba-test.liv-eng.liv.eng 1.6 0.115
Tatoeba-test.lkt-eng.lkt.eng 2.0 0.113
Tatoeba-test.lld-eng.lld.eng 18.3 0.312
Tatoeba-test.lmo-eng.lmo.eng 25.4 0.395
Tatoeba-test.ltz-eng.ltz.eng 35.9 0.509
Tatoeba-test.lug-eng.lug.eng 5.1 0.357
Tatoeba-test.mad-eng.mad.eng 2.8 0.123
Tatoeba-test.mah-eng.mah.eng 5.7 0.175
Tatoeba-test.mai-eng.mai.eng 56.3 0.703
Tatoeba-test.mal-eng.mal.eng 37.5 0.534
Tatoeba-test.mar-eng.mar.eng 22.8 0.470
Tatoeba-test.mdf-eng.mdf.eng 2.0 0.110
Tatoeba-test.mfe-eng.mfe.eng 59.2 0.764
Tatoeba-test.mic-eng.mic.eng 9.0 0.199
Tatoeba-test.mkd-eng.mkd.eng 44.3 0.593
Tatoeba-test.mlg-eng.mlg.eng 31.9 0.424
Tatoeba-test.mlt-eng.mlt.eng 38.6 0.540
Tatoeba-test.mnw-eng.mnw.eng 2.5 0.101
Tatoeba-test.moh-eng.moh.eng 0.3 0.110
Tatoeba-test.mon-eng.mon.eng 13.5 0.334
Tatoeba-test.mri-eng.mri.eng 8.5 0.260
Tatoeba-test.msa-eng.msa.eng 33.9 0.520
Tatoeba-test.multi.eng 34.7 0.518
Tatoeba-test.mwl-eng.mwl.eng 37.4 0.630
Tatoeba-test.mya-eng.mya.eng 15.5 0.335
Tatoeba-test.myv-eng.myv.eng 0.8 0.118
Tatoeba-test.nau-eng.nau.eng 9.0 0.186
Tatoeba-test.nav-eng.nav.eng 1.3 0.144
Tatoeba-test.nds-eng.nds.eng 30.7 0.495
Tatoeba-test.nep-eng.nep.eng 3.5 0.168
Tatoeba-test.niu-eng.niu.eng 42.7 0.492
Tatoeba-test.nld-eng.nld.eng 47.9 0.640
Tatoeba-test.nog-eng.nog.eng 12.7 0.284
Tatoeba-test.non-eng.non.eng 43.8 0.586
Tatoeba-test.nor-eng.nor.eng 45.5 0.619
Tatoeba-test.nov-eng.nov.eng 26.9 0.472
Tatoeba-test.nya-eng.nya.eng 33.2 0.456
Tatoeba-test.oci-eng.oci.eng 17.9 0.370
Tatoeba-test.ori-eng.ori.eng 14.6 0.305
Tatoeba-test.orv-eng.orv.eng 11.0 0.283
Tatoeba-test.oss-eng.oss.eng 4.1 0.211
Tatoeba-test.ota-eng.ota.eng 4.1 0.216
Tatoeba-test.pag-eng.pag.eng 24.3 0.468
Tatoeba-test.pan-eng.pan.eng 16.4 0.358
Tatoeba-test.pap-eng.pap.eng 53.2 0.628
Tatoeba-test.pau-eng.pau.eng 3.7 0.173
Tatoeba-test.pdc-eng.pdc.eng 45.3 0.569
Tatoeba-test.pms-eng.pms.eng 14.0 0.345
Tatoeba-test.pol-eng.pol.eng 41.7 0.588
Tatoeba-test.por-eng.por.eng 51.4 0.669
Tatoeba-test.ppl-eng.ppl.eng 0.4 0.134
Tatoeba-test.prg-eng.prg.eng 4.1 0.198
Tatoeba-test.pus-eng.pus.eng 6.7 0.233
Tatoeba-test.quc-eng.quc.eng 3.5 0.091
Tatoeba-test.qya-eng.qya.eng 0.2 0.090
Tatoeba-test.rap-eng.rap.eng 17.5 0.230
Tatoeba-test.rif-eng.rif.eng 4.2 0.164
Tatoeba-test.roh-eng.roh.eng 24.6 0.464
Tatoeba-test.rom-eng.rom.eng 3.4 0.212
Tatoeba-test.ron-eng.ron.eng 45.2 0.620
Tatoeba-test.rue-eng.rue.eng 21.4 0.390
Tatoeba-test.run-eng.run.eng 24.5 0.392
Tatoeba-test.rus-eng.rus.eng 42.7 0.591
Tatoeba-test.sag-eng.sag.eng 3.4 0.187
Tatoeba-test.sah-eng.sah.eng 5.0 0.177
Tatoeba-test.san-eng.san.eng 2.0 0.172
Tatoeba-test.scn-eng.scn.eng 35.8 0.410
Tatoeba-test.sco-eng.sco.eng 34.6 0.520
Tatoeba-test.sgs-eng.sgs.eng 21.8 0.299
Tatoeba-test.shs-eng.shs.eng 1.8 0.122
Tatoeba-test.shy-eng.shy.eng 1.4 0.104
Tatoeba-test.sin-eng.sin.eng 20.6 0.429
Tatoeba-test.sjn-eng.sjn.eng 1.2 0.095
Tatoeba-test.slv-eng.slv.eng 37.0 0.545
Tatoeba-test.sma-eng.sma.eng 4.4 0.147
Tatoeba-test.sme-eng.sme.eng 8.9 0.229
Tatoeba-test.smo-eng.smo.eng 37.7 0.483
Tatoeba-test.sna-eng.sna.eng 18.0 0.359
Tatoeba-test.snd-eng.snd.eng 28.1 0.444
Tatoeba-test.som-eng.som.eng 23.6 0.472
Tatoeba-test.spa-eng.spa.eng 47.9 0.645
Tatoeba-test.sqi-eng.sqi.eng 46.9 0.634
Tatoeba-test.stq-eng.stq.eng 8.1 0.379
Tatoeba-test.sun-eng.sun.eng 23.8 0.369
Tatoeba-test.swa-eng.swa.eng 6.5 0.193
Tatoeba-test.swe-eng.swe.eng 51.4 0.655
Tatoeba-test.swg-eng.swg.eng 18.5 0.342
Tatoeba-test.tah-eng.tah.eng 25.6 0.249
Tatoeba-test.tam-eng.tam.eng 29.1 0.437
Tatoeba-test.tat-eng.tat.eng 12.9 0.327
Tatoeba-test.tel-eng.tel.eng 21.2 0.386
Tatoeba-test.tet-eng.tet.eng 9.2 0.215
Tatoeba-test.tgk-eng.tgk.eng 12.7 0.374
Tatoeba-test.tha-eng.tha.eng 36.3 0.531
Tatoeba-test.tir-eng.tir.eng 9.1 0.267
Tatoeba-test.tlh-eng.tlh.eng 0.2 0.084
Tatoeba-test.tly-eng.tly.eng 2.1 0.128
Tatoeba-test.toi-eng.toi.eng 5.3 0.150
Tatoeba-test.ton-eng.ton.eng 39.5 0.473
Tatoeba-test.tpw-eng.tpw.eng 1.5 0.160
Tatoeba-test.tso-eng.tso.eng 44.7 0.526
Tatoeba-test.tuk-eng.tuk.eng 18.6 0.401
Tatoeba-test.tur-eng.tur.eng 40.5 0.573
Tatoeba-test.tvl-eng.tvl.eng 55.0 0.593
Tatoeba-test.tyv-eng.tyv.eng 19.1 0.477
Tatoeba-test.tzl-eng.tzl.eng 17.7 0.333
Tatoeba-test.udm-eng.udm.eng 3.4 0.217
Tatoeba-test.uig-eng.uig.eng 11.4 0.289
Tatoeba-test.ukr-eng.ukr.eng 43.1 0.595
Tatoeba-test.umb-eng.umb.eng 9.2 0.260
Tatoeba-test.urd-eng.urd.eng 23.2 0.426
Tatoeba-test.uzb-eng.uzb.eng 19.0 0.342
Tatoeba-test.vec-eng.vec.eng 41.1 0.409
Tatoeba-test.vie-eng.vie.eng 30.6 0.481
Tatoeba-test.vol-eng.vol.eng 1.8 0.143
Tatoeba-test.war-eng.war.eng 15.9 0.352
Tatoeba-test.wln-eng.wln.eng 12.6 0.291
Tatoeba-test.wol-eng.wol.eng 4.4 0.138
Tatoeba-test.xal-eng.xal.eng 0.9 0.153
Tatoeba-test.xho-eng.xho.eng 35.4 0.513
Tatoeba-test.yid-eng.yid.eng 19.4 0.387
Tatoeba-test.yor-eng.yor.eng 19.3 0.327
Tatoeba-test.zho-eng.zho.eng 25.8 0.448
Tatoeba-test.zul-eng.zul.eng 40.9 0.567
Tatoeba-test.zza-eng.zza.eng 1.6 0.125

System Info:

  • hf_name: mul-eng

  • source_languages: mul

  • target_languages: eng

  • opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/mul-eng/README.md

  • original_repo: Tatoeba-Challenge

  • tags: ['translation']

  • languages: ['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', 'en']

  • src_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'}

  • tgt_constituents: {'eng'}

  • src_multilingual: True

  • tgt_multilingual: False

  • prepro: normalization + SentencePiece (spm32k,spm32k)

  • url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/mul-eng/opus2m-2020-08-01.zip

  • url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/mul-eng/opus2m-2020-08-01.test.txt

  • src_alpha3: mul

  • tgt_alpha3: eng

  • short_pair: mul-en

  • chrF2_score: 0.518

  • bleu: 34.7

  • brevity_penalty: 1.0

  • ref_len: 72346.0

  • src_name: Multiple languages

  • tgt_name: English

  • train_date: 2020-08-01

  • src_alpha2: mul

  • tgt_alpha2: en

  • prefer_old: False

  • long_pair: mul-eng

  • helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535

  • transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b

  • port_machine: brutasse

  • port_time: 2020-08-21-14:41