readme: ---
  language: 
  - 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
  
  tags:
  - translation
  
  license: apache-2.0
  ---
  
  ### eng-mul
  
  * source group: English 
  * target group: Multiple languages 
  *  OPUS readme: [eng-mul](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-mul/README.md)
  
  *  model: transformer
  * source language(s): eng
  * target 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
  * 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-mul/opus2m-2020-08-01.zip)
  * test set translations: [opus2m-2020-08-01.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-mul/opus2m-2020-08-01.test.txt)
  * test set scores: [opus2m-2020-08-01.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-mul/opus2m-2020-08-01.eval.txt)
  
  ## Benchmarks
  
  | 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 |
  | n