readme: ---
  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](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/mul-eng/README.md)
  
  *  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](https://object.pouta.csc.fi/Tatoeba-MT-models/mul-eng/opus2m-2020-08-01.zip)
  * test set translations: [opus2m-2020-08-01.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/mul-eng/opus2m-2020-08-01.test.txt)
  * test set scores: [opus2m-2020-08-01.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/mul-eng/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 |
  | n