readme: ---
  language: 
  - en
  - ca
  - es
  - os
  - ro
  - fy
  - cy
  - sc
  - is
  - yi
  - lb
  - an
  - sq
  - fr
  - ht
  - rm
  - ps
  - af
  - uk
  - sl
  - lt
  - bg
  - be
  - gd
  - si
  - br
  - mk
  - or
  - mr
  - ru
  - fo
  - co
  - oc
  - pl
  - gl
  - nb
  - bn
  - id
  - hy
  - da
  - gv
  - nl
  - pt
  - hi
  - as
  - kw
  - ga
  - sv
  - gu
  - wa
  - lv
  - el
  - it
  - hr
  - ur
  - nn
  - de
  - cs
  - ine
  
  tags:
  - translation
  
  license: apache-2.0
  ---
  
  ### eng-ine
  
  * source group: English 
  * target group: Indo-European languages 
  *  OPUS readme: [eng-ine](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-ine/README.md)
  
  *  model: transformer
  * source language(s): eng
  * target language(s): afr aln ang_Latn arg asm ast awa bel bel_Latn ben bho bos_Latn bre bul bul_Latn cat ces cor cos csb_Latn cym dan deu dsb egl ell enm_Latn ext fao fra frm_Latn frr fry gcf_Latn gla gle glg glv gom gos got_Goth grc_Grek gsw guj hat hif_Latn hin hrv hsb hye ind isl ita jdt_Cyrl ksh kur_Arab kur_Latn lad lad_Latn lat_Latn lav lij lit lld_Latn lmo ltg ltz mai mar max_Latn mfe min mkd mwl nds nld nno nob nob_Hebr non_Latn npi oci ori orv_Cyrl oss pan_Guru pap pdc pes pes_Latn pes_Thaa pms pnb pol por prg_Latn pus roh rom ron rue rus san_Deva scn sco sgs sin slv snd_Arab spa sqi srp_Cyrl srp_Latn stq swe swg tgk_Cyrl tly_Latn tmw_Latn ukr urd vec wln yid zlm_Latn zsm_Latn 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-ine/opus2m-2020-08-01.zip)
  * test set translations: [opus2m-2020-08-01.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-ine/opus2m-2020-08-01.test.txt)
  * test set scores: [opus2m-2020-08-01.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-ine/opus2m-2020-08-01.eval.txt)
  
  ## Benchmarks
  
  | testset               | BLEU  | chr-F |
  |-----------------------|-------|-------|
  | newsdev2014-enghin.eng.hin 	| 6.2 	| 0.317 |
  | newsdev2016-enro-engron.eng.ron 	| 22.1 	| 0.525 |
  | newsdev2017-enlv-englav.eng.lav 	| 17.4 	| 0.486 |
  | newsdev2019-engu-engguj.eng.guj 	| 6.5 	| 0.303 |
  | newsdev2019-enlt-englit.eng.lit 	| 14.9 	| 0.476 |
  | newsdiscussdev2015-enfr-engfra.eng.fra 	| 26.4 	| 0.547 |
  | newsdiscusstest2015-enfr-engfra.eng.fra 	| 30.0 	| 0.575 |
  | newssyscomb2009-engces.eng.ces 	| 14.7 	| 0.442 |
  | newssyscomb2009-engdeu.eng.deu 	| 16.7 	| 0.487 |
  | newssyscomb2009-engfra.eng.fra 	| 24.8 	| 0.547 |
  | newssyscomb2009-engita.eng.ita 	| 25.2 	| 0.562 |
  | newssyscomb2009-engspa.eng.spa 	| 27.0 	| 0.554 |
  | news-test2008-engces.eng.ces 	| 13.0 	| 0.417 |
  | news-test2008-engdeu.eng.deu 	| 17.4 	| 0.480 |
  | news-test2008-engfra.eng.fra 	| 22.3 	| 0.519 |
  | news-test2008-engspa.eng.spa 	| 24.9 	| 0.532 |
  | newstest2009-engces.eng.ces 	| 13.6 	| 0.432 |
  | newstest2009-engdeu.eng.deu 	| 16.6 	| 0.482 |
  | newstest2009-engfra.eng.fra 	| 23.5 	| 0.535 |
  | newstest2009-engita.eng.ita 	| 25.5 	| 0.561 |
  | newstest2009-engspa.eng.spa 	| 26.3 	| 0.551 |
  | newstest2010-engces.eng.ces 	| 14.2 	| 0.436 |
  | newstest2010-engdeu.eng.deu 	| 18.3 	| 0.492 |
  | newstest2010-engfra.eng.fra 	| 25.7 	| 0.550 |
  | newstest2010-engspa.eng.spa 	| 30.5 	| 0.578 |
  | newstest2011-engces.eng.ces 	| 15.1 	| 0.439 |
  | newstest2011-engdeu.eng.deu 	| 17.1 	| 0.478 |
  | newstest2011-engfra.eng.fra 	| 28.0 	| 0.569 |
  | newstest2011-engspa.eng.spa 	| 31.9 	| 0.580 |
  | newstest2012-engces.eng.ces 	| 13.6 	| 0.418 |
  | newstest2012-engdeu.eng.deu 	| 17.0 	| 0.475 |
  | newstest2012-engfra.eng.fra 	| 26.1 	| 0.553 |
  | newstest2012-engrus.eng.rus 	| 21.4 	| 0.506 |
  | newstest2012-engspa.eng.spa 	| 31.4 	| 0.577 |
  | newstest2013-engces.eng.ces 	| 15.3 	| 0.438 |
  | newstest2013-engdeu.eng.deu 	| 20.3 	| 0.501 |
  | newstest2013-engfra.eng.fra 	| 26.0 	| 0.540 |
  | newstest2013-engrus.eng.rus 	| 16.1 	| 0.449 |
  | newstest2013-engspa.eng.spa 	| 28.6 	| 0.555 |
  | newstest2014-hien-enghin.eng.hin 	| 9.5 	| 0.344 |
  | newstest2015-encs-engces.eng.ces 	| 14.8 	| 0.440 |
  | newstest2015-ende-engdeu.eng.deu 	| 22.6 	| 0.523 |
  | newstest2015-enru-engrus.eng.rus 	| 18.8 	| 0.483 |
  | newstest2016-encs-engces.eng.ces 	| 16.8 	| 0.457 |
  | newstest2016-ende-engdeu.eng.deu 	| 26.2 	| 0.555 |
  | newstest2016-enro-engron.eng.ron 	| 21.2 	| 0.510 |
  | newstest2016-enru-engrus.eng.rus 	| 17.6 	| 0.471 |
  | newstest2017-encs-engces.eng.ces 	| 13.6 	| 0.421 |
  | newstest2017-ende-engdeu.eng.deu 	| 21.5 	| 0.516 |
  | newstest2017-enlv-englav.eng.lav 	| 13.0 	| 0.452 |
  | newstest2017-enru-engrus.eng.rus 	| 18.7 	| 0.486 |
  | newstest2018-encs-engces.eng.ces 	| 13.5 	| 0.425 |
  | newstest2018-ende-engdeu.eng.deu 	| 29.8 	| 0.581 |
  | newstest2018-enru-engrus.eng.rus 	| 16.1 	| 0.472 |
  | newstest2019-encs-engces.eng.ces 	| 14.8 	| 0.435 |
  | newstest2019-ende-engdeu.eng.deu 	| 26.6 	| 0.554 |
  | newstest2019-engu-engguj.eng.guj 	| 6.9 	| 0.313 |
  | newstest2019-enlt-englit.eng.lit 	| 10.6 	| 0.429 |
  | newstest2019-enru-engru