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opus-mt-tc-bible-big-gmw-deu_eng_fra_por_spa

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opus-mt-tc-bible-big-gmw-deu_eng_fra_por_spa / README.md
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---
library_name: transformers
language:
- af
- ang
- bar
- bi
- bzj
- de
- djk
- drt
- en
- enm
- es
- fr
- frr
- fy
- gos
- gsw
- hrx
- hwc
- icr
- jam
- kri
- ksh
- lb
- li
- nds
- nl
- ofs
- pcm
- pdc
- pfl
- pih
- pis
- pt
- rop
- sco
- srm
- srn
- stq
- swg
- tcs
- tpi
- vls
- wae
- yi
- zea
tags:
- translation
- opus-mt-tc-bible
license: apache-2.0
model-index:
- name: opus-mt-tc-bible-big-gmw-deu_eng_fra_por_spa
results:
- task:
name: Translation afr-deu
type: translation
args: afr-deu
dataset:
name: flores200-devtest
type: flores200-devtest
args: afr-deu
metrics:
- name: BLEU
type: bleu
value: 29.5
- name: chr-F
type: chrf
value: 0.58456
- task:
name: Translation afr-eng
type: translation
args: afr-eng
dataset:
name: flores200-devtest
type: flores200-devtest
args: afr-eng
metrics:
- name: BLEU
type: bleu
value: 54.7
- name: chr-F
type: chrf
value: 0.74857
- task:
name: Translation afr-fra
type: translation
args: afr-fra
dataset:
name: flores200-devtest
type: flores200-devtest
args: afr-fra
metrics:
- name: BLEU
type: bleu
value: 37.2
- name: chr-F
type: chrf
value: 0.62537
- task:
name: Translation afr-por
type: translation
args: afr-por
dataset:
name: flores200-devtest
type: flores200-devtest
args: afr-por
metrics:
- name: BLEU
type: bleu
value: 36.1
- name: chr-F
type: chrf
value: 0.61751
- task:
name: Translation afr-spa
type: translation
args: afr-spa
dataset:
name: flores200-devtest
type: flores200-devtest
args: afr-spa
metrics:
- name: BLEU
type: bleu
value: 23.2
- name: chr-F
type: chrf
value: 0.51647
- task:
name: Translation deu-eng
type: translation
args: deu-eng
dataset:
name: flores200-devtest
type: flores200-devtest
args: deu-eng
metrics:
- name: BLEU
type: bleu
value: 41.4
- name: chr-F
type: chrf
value: 0.67103
- task:
name: Translation deu-fra
type: translation
args: deu-fra
dataset:
name: flores200-devtest
type: flores200-devtest
args: deu-fra
metrics:
- name: BLEU
type: bleu
value: 36.8
- name: chr-F
type: chrf
value: 0.62658
- task:
name: Translation deu-por
type: translation
args: deu-por
dataset:
name: flores200-devtest
type: flores200-devtest
args: deu-por
metrics:
- name: BLEU
type: bleu
value: 34.8
- name: chr-F
type: chrf
value: 0.60909
- task:
name: Translation deu-spa
type: translation
args: deu-spa
dataset:
name: flores200-devtest
type: flores200-devtest
args: deu-spa
metrics:
- name: BLEU
type: bleu
value: 24.2
- name: chr-F
type: chrf
value: 0.52584
- task:
name: Translation eng-deu
type: translation
args: eng-deu
dataset:
name: flores200-devtest
type: flores200-devtest
args: eng-deu
metrics:
- name: BLEU
type: bleu
value: 37.5
- name: chr-F
type: chrf
value: 0.64560
- task:
name: Translation eng-fra
type: translation
args: eng-fra
dataset:
name: flores200-devtest
type: flores200-devtest
args: eng-fra
metrics:
- name: BLEU
type: bleu
value: 49.1
- name: chr-F
type: chrf
value: 0.70736
- task:
name: Translation eng-por
type: translation
args: eng-por
dataset:
name: flores200-devtest
type: flores200-devtest
args: eng-por
metrics:
- name: BLEU
type: bleu
value: 49.5
- name: chr-F
type: chrf
value: 0.71065
- task:
name: Translation eng-spa
type: translation
args: eng-spa
dataset:
name: flores200-devtest
type: flores200-devtest
args: eng-spa
metrics:
- name: BLEU
type: bleu
value: 27.4
- name: chr-F
type: chrf
value: 0.55738
- task:
name: Translation lim-deu
type: translation
args: lim-deu
dataset:
name: flores200-devtest
type: flores200-devtest
args: lim-deu
metrics:
- name: BLEU
type: bleu
value: 16.1
- name: chr-F
type: chrf
value: 0.45062
- task:
name: Translation lim-eng
type: translation
args: lim-eng
dataset:
name: flores200-devtest
type: flores200-devtest
args: lim-eng
metrics:
- name: BLEU
type: bleu
value: 21.8
- name: chr-F
type: chrf
value: 0.48217
- task:
name: Translation lim-fra
type: translation
args: lim-fra
dataset:
name: flores200-devtest
type: flores200-devtest
args: lim-fra
metrics:
- name: BLEU
type: bleu
value: 18.5
- name: chr-F
type: chrf
value: 0.44347
- task:
name: Translation lim-por
type: translation
args: lim-por
dataset:
name: flores200-devtest
type: flores200-devtest
args: lim-por
metrics:
- name: BLEU
type: bleu
value: 16.8
- name: chr-F
type: chrf
value: 0.42527
- task:
name: Translation lim-spa
type: translation
args: lim-spa
dataset:
name: flores200-devtest
type: flores200-devtest
args: lim-spa
metrics:
- name: BLEU
type: bleu
value: 13.6
- name: chr-F
type: chrf
value: 0.39232
- task:
name: Translation ltz-deu
type: translation
args: ltz-deu
dataset:
name: flores200-devtest
type: flores200-devtest
args: ltz-deu
metrics:
- name: BLEU
type: bleu
value: 31.3
- name: chr-F
type: chrf
value: 0.60114
- task:
name: Translation ltz-eng
type: translation
args: ltz-eng
dataset:
name: flores200-devtest
type: flores200-devtest
args: ltz-eng
metrics:
- name: BLEU
type: bleu
value: 39.3
- name: chr-F
type: chrf
value: 0.64345
- task:
name: Translation ltz-fra
type: translation
args: ltz-fra
dataset:
name: flores200-devtest
type: flores200-devtest
args: ltz-fra
metrics:
- name: BLEU
type: bleu
value: 33.8
- name: chr-F
type: chrf
value: 0.59368
- task:
name: Translation ltz-por
type: translation
args: ltz-por
dataset:
name: flores200-devtest
type: flores200-devtest
args: ltz-por
metrics:
- name: BLEU
type: bleu
value: 24.8
- name: chr-F
type: chrf
value: 0.51545
- task:
name: Translation ltz-spa
type: translation
args: ltz-spa
dataset:
name: flores200-devtest
type: flores200-devtest
args: ltz-spa
metrics:
- name: BLEU
type: bleu
value: 17.5
- name: chr-F
type: chrf
value: 0.44821
- task:
name: Translation nld-deu
type: translation
args: nld-deu
dataset:
name: flores200-devtest
type: flores200-devtest
args: nld-deu
metrics:
- name: BLEU
type: bleu
value: 22.4
- name: chr-F
type: chrf
value: 0.53650
- task:
name: Translation nld-eng
type: translation
args: nld-eng
dataset:
name: flores200-devtest
type: flores200-devtest
args: nld-eng
metrics:
- name: BLEU
type: bleu
value: 30.6
- name: chr-F
type: chrf
value: 0.59102
- task:
name: Translation nld-fra
type: translation
args: nld-fra
dataset:
name: flores200-devtest
type: flores200-devtest
args: nld-fra
metrics:
- name: BLEU
type: bleu
value: 28.7
- name: chr-F
type: chrf
value: 0.56608
- task:
name: Translation nld-por
type: translation
args: nld-por
dataset:
name: flores200-devtest
type: flores200-devtest
args: nld-por
metrics:
- name: BLEU
type: bleu
value: 26.7
- name: chr-F
type: chrf
value: 0.54728
- task:
name: Translation nld-spa
type: translation
args: nld-spa
dataset:
name: flores200-devtest
type: flores200-devtest
args: nld-spa
metrics:
- name: BLEU
type: bleu
value: 20.1
- name: chr-F
type: chrf
value: 0.49175
- task:
name: Translation tpi-deu
type: translation
args: tpi-deu
dataset:
name: flores200-devtest
type: flores200-devtest
args: tpi-deu
metrics:
- name: BLEU
type: bleu
value: 10.9
- name: chr-F
type: chrf
value: 0.40350
- task:
name: Translation tpi-eng
type: translation
args: tpi-eng
dataset:
name: flores200-devtest
type: flores200-devtest
args: tpi-eng
metrics:
- name: BLEU
type: bleu
value: 19.6
- name: chr-F
type: chrf
value: 0.48289
- task:
name: Translation tpi-fra
type: translation
args: tpi-fra
dataset:
name: flores200-devtest
type: flores200-devtest
args: tpi-fra
metrics:
- name: BLEU
type: bleu
value: 16.1
- name: chr-F
type: chrf
value: 0.43428
- task:
name: Translation tpi-por
type: translation
args: tpi-por
dataset:
name: flores200-devtest
type: flores200-devtest
args: tpi-por
metrics:
- name: BLEU
type: bleu
value: 15.4
- name: chr-F
type: chrf
value: 0.42966
- task:
name: Translation tpi-spa
type: translation
args: tpi-spa
dataset:
name: flores200-devtest
type: flores200-devtest
args: tpi-spa
metrics:
- name: BLEU
type: bleu
value: 12.9
- name: chr-F
type: chrf
value: 0.39730
- task:
name: Translation afr-deu
type: translation
args: afr-deu
dataset:
name: flores101-devtest
type: flores_101
args: afr deu devtest
metrics:
- name: BLEU
type: bleu
value: 28.4
- name: chr-F
type: chrf
value: 0.57831
- task:
name: Translation afr-eng
type: translation
args: afr-eng
dataset:
name: flores101-devtest
type: flores_101
args: afr eng devtest
metrics:
- name: BLEU
type: bleu
value: 53.8
- name: chr-F
type: chrf
value: 0.74272
- task:
name: Translation afr-fra
type: translation
args: afr-fra
dataset:
name: flores101-devtest
type: flores_101
args: afr fra devtest
metrics:
- name: BLEU
type: bleu
value: 36.4
- name: chr-F
type: chrf
value: 0.61936
- task:
name: Translation afr-por
type: translation
args: afr-por
dataset:
name: flores101-devtest
type: flores_101
args: afr por devtest
metrics:
- name: BLEU
type: bleu
value: 35.4
- name: chr-F
type: chrf
value: 0.61309
- task:
name: Translation afr-spa
type: translation
args: afr-spa
dataset:
name: flores101-devtest
type: flores_101
args: afr spa devtest
metrics:
- name: BLEU
type: bleu
value: 22.9
- name: chr-F
type: chrf
value: 0.51393
- task:
name: Translation deu-spa
type: translation
args: deu-spa
dataset:
name: flores101-devtest
type: flores_101
args: deu spa devtest
metrics:
- name: BLEU
type: bleu
value: 23.9
- name: chr-F
type: chrf
value: 0.52438
- task:
name: Translation eng-deu
type: translation
args: eng-deu
dataset:
name: flores101-devtest
type: flores_101
args: eng deu devtest
metrics:
- name: BLEU
type: bleu
value: 37.2
- name: chr-F
type: chrf
value: 0.64236
- task:
name: Translation eng-spa
type: translation
args: eng-spa
dataset:
name: flores101-devtest
type: flores_101
args: eng spa devtest
metrics:
- name: BLEU
type: bleu
value: 27.1
- name: chr-F
type: chrf
value: 0.55524
- task:
name: Translation nld-deu
type: translation
args: nld-deu
dataset:
name: flores101-devtest
type: flores_101
args: nld deu devtest
metrics:
- name: BLEU
type: bleu
value: 22.1
- name: chr-F
type: chrf
value: 0.53435
- task:
name: Translation nld-eng
type: translation
args: nld-eng
dataset:
name: flores101-devtest
type: flores_101
args: nld eng devtest
metrics:
- name: BLEU
type: bleu
value: 30.0
- name: chr-F
type: chrf
value: 0.58686
- task:
name: Translation nld-fra
type: translation
args: nld-fra
dataset:
name: flores101-devtest
type: flores_101
args: nld fra devtest
metrics:
- name: BLEU
type: bleu
value: 28.2
- name: chr-F
type: chrf
value: 0.56292
- task:
name: Translation deu-eng
type: translation
args: deu-eng
dataset:
name: generaltest2022
type: generaltest2022
args: deu-eng
metrics:
- name: BLEU
type: bleu
value: 31.0
- name: chr-F
type: chrf
value: 0.56042
- task:
name: Translation deu-fra
type: translation
args: deu-fra
dataset:
name: generaltest2022
type: generaltest2022
args: deu-fra
metrics:
- name: BLEU
type: bleu
value: 37.6
- name: chr-F
type: chrf
value: 0.61145
- task:
name: Translation eng-deu
type: translation
args: eng-deu
dataset:
name: generaltest2022
type: generaltest2022
args: eng-deu
metrics:
- name: BLEU
type: bleu
value: 32.5
- name: chr-F
type: chrf
value: 0.60090
- task:
name: Translation deu-eng
type: translation
args: deu-eng
dataset:
name: multi30k_test_2016_flickr
type: multi30k-2016_flickr
args: deu-eng
metrics:
- name: BLEU
type: bleu
value: 40.1
- name: chr-F
type: chrf
value: 0.60974
- task:
name: Translation deu-fra
type: translation
args: deu-fra
dataset:
name: multi30k_test_2016_flickr
type: multi30k-2016_flickr
args: deu-fra
metrics:
- name: BLEU
type: bleu
value: 38.8
- name: chr-F
type: chrf
value: 0.62493
- task:
name: Translation eng-deu
type: translation
args: eng-deu
dataset:
name: multi30k_test_2016_flickr
type: multi30k-2016_flickr
args: eng-deu
metrics:
- name: BLEU
type: bleu
value: 35.3
- name: chr-F
type: chrf
value: 0.64164
- task:
name: Translation eng-fra
type: translation
args: eng-fra
dataset:
name: multi30k_test_2016_flickr
type: multi30k-2016_flickr
args: eng-fra
metrics:
- name: BLEU
type: bleu
value: 50.7
- name: chr-F
type: chrf
value: 0.71137
- task:
name: Translation deu-eng
type: translation
args: deu-eng
dataset:
name: multi30k_test_2017_flickr
type: multi30k-2017_flickr
args: deu-eng
metrics:
- name: BLEU
type: bleu
value: 40.6
- name: chr-F
type: chrf
value: 0.63118
- task:
name: Translation deu-fra
type: translation
args: deu-fra
dataset:
name: multi30k_test_2017_flickr
type: multi30k-2017_flickr
args: deu-fra
metrics:
- name: BLEU
type: bleu
value: 37.0
- name: chr-F
type: chrf
value: 0.62614
- task:
name: Translation eng-deu
type: translation
args: eng-deu
dataset:
name: multi30k_test_2017_flickr
type: multi30k-2017_flickr
args: eng-deu
metrics:
- name: BLEU
type: bleu
value: 33.4
- name: chr-F
type: chrf
value: 0.62518
- task:
name: Translation eng-fra
type: translation
args: eng-fra
dataset:
name: multi30k_test_2017_flickr
type: multi30k-2017_flickr
args: eng-fra
metrics:
- name: BLEU
type: bleu
value: 50.3
- name: chr-F
type: chrf
value: 0.71402
- task:
name: Translation deu-eng
type: translation
args: deu-eng
dataset:
name: multi30k_test_2017_mscoco
type: multi30k-2017_mscoco
args: deu-eng
metrics:
- name: BLEU
type: bleu
value: 32.1
- name: chr-F
type: chrf
value: 0.55495
- task:
name: Translation deu-fra
type: translation
args: deu-fra
dataset:
name: multi30k_test_2017_mscoco
type: multi30k-2017_mscoco
args: deu-fra
metrics:
- name: BLEU
type: bleu
value: 34.7
- name: chr-F
type: chrf
value: 0.59307
- task:
name: Translation eng-deu
type: translation
args: eng-deu
dataset:
name: multi30k_test_2017_mscoco
type: multi30k-2017_mscoco
args: eng-deu
metrics:
- name: BLEU
type: bleu
value: 29.7
- name: chr-F
type: chrf
value: 0.58028
- task:
name: Translation eng-fra
type: translation
args: eng-fra
dataset:
name: multi30k_test_2017_mscoco
type: multi30k-2017_mscoco
args: eng-fra
metrics:
- name: BLEU
type: bleu
value: 54.7
- name: chr-F
type: chrf
value: 0.73637
- task:
name: Translation deu-eng
type: translation
args: deu-eng
dataset:
name: multi30k_test_2018_flickr
type: multi30k-2018_flickr
args: deu-eng
metrics:
- name: BLEU
type: bleu
value: 36.7
- name: chr-F
type: chrf
value: 0.59367
- task:
name: Translation deu-fra
type: translation
args: deu-fra
dataset:
name: multi30k_test_2018_flickr
type: multi30k-2018_flickr
args: deu-fra
metrics:
- name: BLEU
type: bleu
value: 31.3
- name: chr-F
type: chrf
value: 0.57388
- task:
name: Translation eng-deu
type: translation
args: eng-deu
dataset:
name: multi30k_test_2018_flickr
type: multi30k-2018_flickr
args: eng-deu
metrics:
- name: BLEU
type: bleu
value: 30.8
- name: chr-F
type: chrf
value: 0.59998
- task:
name: Translation eng-fra
type: translation
args: eng-fra
dataset:
name: multi30k_test_2018_flickr
type: multi30k-2018_flickr
args: eng-fra
metrics:
- name: BLEU
type: bleu
value: 41.6
- name: chr-F
type: chrf
value: 0.65354
- task:
name: Translation eng-fra
type: translation
args: eng-fra
dataset:
name: newsdiscusstest2015
type: newsdiscusstest2015
args: eng-fra
metrics:
- name: BLEU
type: bleu
value: 37.7
- name: chr-F
type: chrf
value: 0.63308
- task:
name: Translation deu-eng
type: translation
args: deu-eng
dataset:
name: newstestALL2020
type: newstestALL2020
args: deu-eng
metrics:
- name: BLEU
type: bleu
value: 34.5
- name: chr-F
type: chrf
value: 0.60800
- task:
name: Translation eng-deu
type: translation
args: eng-deu
dataset:
name: newstestALL2020
type: newstestALL2020
args: eng-deu
metrics:
- name: BLEU
type: bleu
value: 31.7
- name: chr-F
type: chrf
value: 0.60078
- task:
name: Translation afr-deu
type: translation
args: afr-deu
dataset:
name: ntrex128
type: ntrex128
args: afr-deu
metrics:
- name: BLEU
type: bleu
value: 25.8
- name: chr-F
type: chrf
value: 0.55289
- task:
name: Translation afr-eng
type: translation
args: afr-eng
dataset:
name: ntrex128
type: ntrex128
args: afr-eng
metrics:
- name: BLEU
type: bleu
value: 51.8
- name: chr-F
type: chrf
value: 0.72558
- task:
name: Translation afr-fra
type: translation
args: afr-fra
dataset:
name: ntrex128
type: ntrex128
args: afr-fra
metrics:
- name: BLEU
type: bleu
value: 29.3
- name: chr-F
type: chrf
value: 0.56601
- task:
name: Translation afr-por
type: translation
args: afr-por
dataset:
name: ntrex128
type: ntrex128
args: afr-por
metrics:
- name: BLEU
type: bleu
value: 28.1
- name: chr-F
type: chrf
value: 0.55396
- task:
name: Translation afr-spa
type: translation
args: afr-spa
dataset:
name: ntrex128
type: ntrex128
args: afr-spa
metrics:
- name: BLEU
type: bleu
value: 33.7
- name: chr-F
type: chrf
value: 0.58558
- task:
name: Translation deu-eng
type: translation
args: deu-eng
dataset:
name: ntrex128
type: ntrex128
args: deu-eng
metrics:
- name: BLEU
type: bleu
value: 33.8
- name: chr-F
type: chrf
value: 0.61722
- task:
name: Translation deu-fra
type: translation
args: deu-fra
dataset:
name: ntrex128
type: ntrex128
args: deu-fra
metrics:
- name: BLEU
type: bleu
value: 28.6
- name: chr-F
type: chrf
value: 0.55908
- task:
name: Translation deu-por
type: translation
args: deu-por
dataset:
name: ntrex128
type: ntrex128
args: deu-por
metrics:
- name: BLEU
type: bleu
value: 25.7
- name: chr-F
type: chrf
value: 0.54059
- task:
name: Translation deu-spa
type: translation
args: deu-spa
dataset:
name: ntrex128
type: ntrex128
args: deu-spa
metrics:
- name: BLEU
type: bleu
value: 30.8
- name: chr-F
type: chrf
value: 0.56887
- task:
name: Translation eng-deu
type: translation
args: eng-deu
dataset:
name: ntrex128
type: ntrex128
args: eng-deu
metrics:
- name: BLEU
type: bleu
value: 29.8
- name: chr-F
type: chrf
value: 0.58492
- task:
name: Translation eng-fra
type: translation
args: eng-fra
dataset:
name: ntrex128
type: ntrex128
args: eng-fra
metrics:
- name: BLEU
type: bleu
value: 35.2
- name: chr-F
type: chrf
value: 0.61349
- task:
name: Translation eng-por
type: translation
args: eng-por
dataset:
name: ntrex128
type: ntrex128
args: eng-por
metrics:
- name: BLEU
type: bleu
value: 33.4
- name: chr-F
type: chrf
value: 0.59785
- task:
name: Translation eng-spa
type: translation
args: eng-spa
dataset:
name: ntrex128
type: ntrex128
args: eng-spa
metrics:
- name: BLEU
type: bleu
value: 40.1
- name: chr-F
type: chrf
value: 0.63935
- task:
name: Translation ltz-deu
type: translation
args: ltz-deu
dataset:
name: ntrex128
type: ntrex128
args: ltz-deu
metrics:
- name: BLEU
type: bleu
value: 21.9
- name: chr-F
type: chrf
value: 0.51469
- task:
name: Translation ltz-eng
type: translation
args: ltz-eng
dataset:
name: ntrex128
type: ntrex128
args: ltz-eng
metrics:
- name: BLEU
type: bleu
value: 32.4
- name: chr-F
type: chrf
value: 0.58627
- task:
name: Translation ltz-fra
type: translation
args: ltz-fra
dataset:
name: ntrex128
type: ntrex128
args: ltz-fra
metrics:
- name: BLEU
type: bleu
value: 22.8
- name: chr-F
type: chrf
value: 0.50491
- task:
name: Translation ltz-por
type: translation
args: ltz-por
dataset:
name: ntrex128
type: ntrex128
args: ltz-por
metrics:
- name: BLEU
type: bleu
value: 18.7
- name: chr-F
type: chrf
value: 0.45364
- task:
name: Translation ltz-spa
type: translation
args: ltz-spa
dataset:
name: ntrex128
type: ntrex128
args: ltz-spa
metrics:
- name: BLEU
type: bleu
value: 21.6
- name: chr-F
type: chrf
value: 0.47568
- task:
name: Translation nld-deu
type: translation
args: nld-deu
dataset:
name: ntrex128
type: ntrex128
args: nld-deu
metrics:
- name: BLEU
type: bleu
value: 25.7
- name: chr-F
type: chrf
value: 0.55943
- task:
name: Translation nld-eng
type: translation
args: nld-eng
dataset:
name: ntrex128
type: ntrex128
args: nld-eng
metrics:
- name: BLEU
type: bleu
value: 36.1
- name: chr-F
type: chrf
value: 0.63470
- task:
name: Translation nld-fra
type: translation
args: nld-fra
dataset:
name: ntrex128
type: ntrex128
args: nld-fra
metrics:
- name: BLEU
type: bleu
value: 27.5
- name: chr-F
type: chrf
value: 0.55832
- task:
name: Translation nld-por
type: translation
args: nld-por
dataset:
name: ntrex128
type: ntrex128
args: nld-por
metrics:
- name: BLEU
type: bleu
value: 27.3
- name: chr-F
type: chrf
value: 0.54714
- task:
name: Translation nld-spa
type: translation
args: nld-spa
dataset:
name: ntrex128
type: ntrex128
args: nld-spa
metrics:
- name: BLEU
type: bleu
value: 32.1
- name: chr-F
type: chrf
value: 0.57692
- task:
name: Translation afr-deu
type: translation
args: afr-deu
dataset:
name: tatoeba-test-v2021-08-07
type: tatoeba_mt
args: afr-deu
metrics:
- name: BLEU
type: bleu
value: 48.8
- name: chr-F
type: chrf
value: 0.68492
- task:
name: Translation afr-eng
type: translation
args: afr-eng
dataset:
name: tatoeba-test-v2021-08-07
type: tatoeba_mt
args: afr-eng
metrics:
- name: BLEU
type: bleu
value: 59.6
- name: chr-F
type: chrf
value: 0.72943
- task:
name: Translation afr-spa
type: translation
args: afr-spa
dataset:
name: tatoeba-test-v2021-08-07
type: tatoeba_mt
args: afr-spa
metrics:
- name: BLEU
type: bleu
value: 58.4
- name: chr-F
type: chrf
value: 0.72793
- task:
name: Translation deu-deu
type: translation
args: deu-deu
dataset:
name: tatoeba-test-v2021-08-07
type: tatoeba_mt
args: deu-deu
metrics:
- name: BLEU
type: bleu
value: 34.8
- name: chr-F
type: chrf
value: 0.59840
- task:
name: Translation deu-eng
type: translation
args: deu-eng
dataset:
name: tatoeba-test-v2021-08-07
type: tatoeba_mt
args: deu-eng
metrics:
- name: BLEU
type: bleu
value: 48.5
- name: chr-F
type: chrf
value: 0.65957
- task:
name: Translation deu-fra
type: translation
args: deu-fra
dataset:
name: tatoeba-test-v2021-08-07
type: tatoeba_mt
args: deu-fra
metrics:
- name: BLEU
type: bleu
value: 50.2
- name: chr-F
type: chrf
value: 0.68054
- task:
name: Translation deu-por
type: translation
args: deu-por
dataset:
name: tatoeba-test-v2021-08-07
type: tatoeba_mt
args: deu-por
metrics:
- name: BLEU
type: bleu
value: 42.8
- name: chr-F
type: chrf
value: 0.63368
- task:
name: Translation deu-spa
type: translation
args: deu-spa
dataset:
name: tatoeba-test-v2021-08-07
type: tatoeba_mt
args: deu-spa
metrics:
- name: BLEU
type: bleu
value: 49.3
- name: chr-F
type: chrf
value: 0.68198
- task:
name: Translation eng-deu
type: translation
args: eng-deu
dataset:
name: tatoeba-test-v2021-08-07
type: tatoeba_mt
args: eng-deu
metrics:
- name: BLEU
type: bleu
value: 40.5
- name: chr-F
type: chrf
value: 0.62497
- task:
name: Translation eng-eng
type: translation
args: eng-eng
dataset:
name: tatoeba-test-v2021-08-07
type: tatoeba_mt
args: eng-eng
metrics:
- name: BLEU
type: bleu
value: 57.3
- name: chr-F
type: chrf
value: 0.79878
- task:
name: Translation eng-fra
type: translation
args: eng-fra
dataset:
name: tatoeba-test-v2021-08-07
type: tatoeba_mt
args: eng-fra
metrics:
- name: BLEU
type: bleu
value: 50.9
- name: chr-F
type: chrf
value: 0.68567
- task:
name: Translation eng-por
type: translation
args: eng-por
dataset:
name: tatoeba-test-v2021-08-07
type: tatoeba_mt
args: eng-por
metrics:
- name: BLEU
type: bleu
value: 53.4
- name: chr-F
type: chrf
value: 0.72204
- task:
name: Translation eng-spa
type: translation
args: eng-spa
dataset:
name: tatoeba-test-v2021-08-07
type: tatoeba_mt
args: eng-spa
metrics:
- name: BLEU
type: bleu
value: 55.3
- name: chr-F
type: chrf
value: 0.72539
- task:
name: Translation fry-eng
type: translation
args: fry-eng
dataset:
name: tatoeba-test-v2021-08-07
type: tatoeba_mt
args: fry-eng
metrics:
- name: BLEU
type: bleu
value: 37.0
- name: chr-F
type: chrf
value: 0.55137
- task:
name: Translation gos-deu
type: translation
args: gos-deu
dataset:
name: tatoeba-test-v2021-08-07
type: tatoeba_mt
args: gos-deu
metrics:
- name: BLEU
type: bleu
value: 24.7
- name: chr-F
type: chrf
value: 0.46120
- task:
name: Translation gos-eng
type: translation
args: gos-eng
dataset:
name: tatoeba-test-v2021-08-07
type: tatoeba_mt
args: gos-eng
metrics:
- name: BLEU
type: bleu
value: 22.3
- name: chr-F
type: chrf
value: 0.38628
- task:
name: Translation gsw-eng
type: translation
args: gsw-eng
dataset:
name: tatoeba-test-v2021-08-07
type: tatoeba_mt
args: gsw-eng
metrics:
- name: BLEU
type: bleu
value: 27.5
- name: chr-F
type: chrf
value: 0.43003
- task:
name: Translation ltz-deu
type: translation
args: ltz-deu
dataset:
name: tatoeba-test-v2021-08-07
type: tatoeba_mt
args: ltz-deu
metrics:
- name: BLEU
type: bleu
value: 32.0
- name: chr-F
type: chrf
value: 0.48474
- task:
name: Translation ltz-eng
type: translation
args: ltz-eng
dataset:
name: tatoeba-test-v2021-08-07
type: tatoeba_mt
args: ltz-eng
metrics:
- name: BLEU
type: bleu
value: 56.4
- name: chr-F
type: chrf
value: 0.65366
- task:
name: Translation multi-multi
type: translation
args: multi-multi
dataset:
name: tatoeba-test-v2020-07-28-v2023-09-26
type: tatoeba_mt
args: multi-multi
metrics:
- name: BLEU
type: bleu
value: 50.3
- name: chr-F
type: chrf
value: 0.68713
- task:
name: Translation nds-deu
type: translation
args: nds-deu
dataset:
name: tatoeba-test-v2021-08-07
type: tatoeba_mt
args: nds-deu
metrics:
- name: BLEU
type: bleu
value: 45.9
- name: chr-F
type: chrf
value: 0.65251
- task:
name: Translation nds-eng
type: translation
args: nds-eng
dataset:
name: tatoeba-test-v2021-08-07
type: tatoeba_mt
args: nds-eng
metrics:
- name: BLEU
type: bleu
value: 44.7
- name: chr-F
type: chrf
value: 0.61858
- task:
name: Translation nds-fra
type: translation
args: nds-fra
dataset:
name: tatoeba-test-v2021-08-07
type: tatoeba_mt
args: nds-fra
metrics:
- name: BLEU
type: bleu
value: 43.9
- name: chr-F
type: chrf
value: 0.60412
- task:
name: Translation nds-por
type: translation
args: nds-por
dataset:
name: tatoeba-test-v2021-08-07
type: tatoeba_mt
args: nds-por
metrics:
- name: BLEU
type: bleu
value: 39.5
- name: chr-F
type: chrf
value: 0.58778
- task:
name: Translation nds-spa
type: translation
args: nds-spa
dataset:
name: tatoeba-test-v2021-08-07
type: tatoeba_mt
args: nds-spa
metrics:
- name: BLEU
type: bleu
value: 43.9
- name: chr-F
type: chrf
value: 0.63404
- task:
name: Translation nld-deu
type: translation
args: nld-deu
dataset:
name: tatoeba-test-v2021-08-07
type: tatoeba_mt
args: nld-deu
metrics:
- name: BLEU
type: bleu
value: 55.7
- name: chr-F
type: chrf
value: 0.72998
- task:
name: Translation nld-eng
type: translation
args: nld-eng
dataset:
name: tatoeba-test-v2021-08-07
type: tatoeba_mt
args: nld-eng
metrics:
- name: BLEU
type: bleu
value: 60.9
- name: chr-F
type: chrf
value: 0.74362
- task:
name: Translation nld-fra
type: translation
args: nld-fra
dataset:
name: tatoeba-test-v2021-08-07
type: tatoeba_mt
args: nld-fra
metrics:
- name: BLEU
type: bleu
value: 48.0
- name: chr-F
type: chrf
value: 0.68461
- task:
name: Translation nld-por
type: translation
args: nld-por
dataset:
name: tatoeba-test-v2021-08-07
type: tatoeba_mt
args: nld-por
metrics:
- name: BLEU
type: bleu
value: 49.3
- name: chr-F
type: chrf
value: 0.68798
- task:
name: Translation nld-spa
type: translation
args: nld-spa
dataset:
name: tatoeba-test-v2021-08-07
type: tatoeba_mt
args: nld-spa
metrics:
- name: BLEU
type: bleu
value: 51.6
- name: chr-F
type: chrf
value: 0.69971
- task:
name: Translation yid-eng
type: translation
args: yid-eng
dataset:
name: tatoeba-test-v2021-08-07
type: tatoeba_mt
args: yid-eng
metrics:
- name: BLEU
type: bleu
value: 31.5
- name: chr-F
type: chrf
value: 0.49807
- task:
name: Translation yid-fra
type: translation
args: yid-fra
dataset:
name: tatoeba-test-v2021-08-07
type: tatoeba_mt
args: yid-fra
metrics:
- name: BLEU
type: bleu
value: 31.9
- name: chr-F
type: chrf
value: 0.54147
- task:
name: Translation eng-fra
type: translation
args: eng-fra
dataset:
name: tico19-test
type: tico19-test
args: eng-fra
metrics:
- name: BLEU
type: bleu
value: 39.5
- name: chr-F
type: chrf
value: 0.62559
- task:
name: Translation eng-por
type: translation
args: eng-por
dataset:
name: tico19-test
type: tico19-test
args: eng-por
metrics:
- name: BLEU
type: bleu
value: 49.8
- name: chr-F
type: chrf
value: 0.72765
- task:
name: Translation eng-spa
type: translation
args: eng-spa
dataset:
name: tico19-test
type: tico19-test
args: eng-spa
metrics:
- name: BLEU
type: bleu
value: 51.6
- name: chr-F
type: chrf
value: 0.72905
- task:
name: Translation deu-eng
type: translation
args: deu-eng
dataset:
name: newstest2008
type: wmt-2008-news
args: deu-eng
metrics:
- name: BLEU
type: bleu
value: 27.0
- name: chr-F
type: chrf
value: 0.54434
- task:
name: Translation deu-fra
type: translation
args: deu-fra
dataset:
name: newstest2008
type: wmt-2008-news
args: deu-fra
metrics:
- name: BLEU
type: bleu
value: 26.2
- name: chr-F
type: chrf
value: 0.55076
- task:
name: Translation deu-spa
type: translation
args: deu-spa
dataset:
name: newstest2008
type: wmt-2008-news
args: deu-spa
metrics:
- name: BLEU
type: bleu
value: 25.6
- name: chr-F
type: chrf
value: 0.54056
- task:
name: Translation eng-deu
type: translation
args: eng-deu
dataset:
name: newstest2008
type: wmt-2008-news
args: eng-deu
metrics:
- name: BLEU
type: bleu
value: 23.0
- name: chr-F
type: chrf
value: 0.52906
- task:
name: Translation eng-fra
type: translation
args: eng-fra
dataset:
name: newstest2008
type: wmt-2008-news
args: eng-fra
metrics:
- name: BLEU
type: bleu
value: 26.8
- name: chr-F
type: chrf
value: 0.55247
- task:
name: Translation eng-spa
type: translation
args: eng-spa
dataset:
name: newstest2008
type: wmt-2008-news
args: eng-spa
metrics:
- name: BLEU
type: bleu
value: 29.6
- name: chr-F
type: chrf
value: 0.56423
- task:
name: Translation deu-eng
type: translation
args: deu-eng
dataset:
name: newstest2009
type: wmt-2009-news
args: deu-eng
metrics:
- name: BLEU
type: bleu
value: 26.7
- name: chr-F
type: chrf
value: 0.53972
- task:
name: Translation deu-fra
type: translation
args: deu-fra
dataset:
name: newstest2009
type: wmt-2009-news
args: deu-fra
metrics:
- name: BLEU
type: bleu
value: 25.6
- name: chr-F
type: chrf
value: 0.53975
- task:
name: Translation deu-spa
type: translation
args: deu-spa
dataset:
name: newstest2009
type: wmt-2009-news
args: deu-spa
metrics:
- name: BLEU
type: bleu
value: 25.6
- name: chr-F
type: chrf
value: 0.53677
- task:
name: Translation eng-deu
type: translation
args: eng-deu
dataset:
name: newstest2009
type: wmt-2009-news
args: eng-deu
metrics:
- name: BLEU
type: bleu
value: 22.1
- name: chr-F
type: chrf
value: 0.53097
- task:
name: Translation eng-fra
type: translation
args: eng-fra
dataset:
name: newstest2009
type: wmt-2009-news
args: eng-fra
metrics:
- name: BLEU
type: bleu
value: 29.1
- name: chr-F
type: chrf
value: 0.57542
- task:
name: Translation eng-spa
type: translation
args: eng-spa
dataset:
name: newstest2009
type: wmt-2009-news
args: eng-spa
metrics:
- name: BLEU
type: bleu
value: 29.8
- name: chr-F
type: chrf
value: 0.57733
- task:
name: Translation deu-eng
type: translation
args: deu-eng
dataset:
name: newstest2010
type: wmt-2010-news
args: deu-eng
metrics:
- name: BLEU
type: bleu
value: 30.2
- name: chr-F
type: chrf
value: 0.58278
- task:
name: Translation deu-fra
type: translation
args: deu-fra
dataset:
name: newstest2010
type: wmt-2010-news
args: deu-fra
metrics:
- name: BLEU
type: bleu
value: 29.0
- name: chr-F
type: chrf
value: 0.57876
- task:
name: Translation deu-spa
type: translation
args: deu-spa
dataset:
name: newstest2010
type: wmt-2010-news
args: deu-spa
metrics:
- name: BLEU
type: bleu
value: 32.6
- name: chr-F
type: chrf
value: 0.59402
- task:
name: Translation eng-deu
type: translation
args: eng-deu
dataset:
name: newstest2010
type: wmt-2010-news
args: eng-deu
metrics:
- name: BLEU
type: bleu
value: 25.3
- name: chr-F
type: chrf
value: 0.54587
- task:
name: Translation eng-fra
type: translation
args: eng-fra
dataset:
name: newstest2010
type: wmt-2010-news
args: eng-fra
metrics:
- name: BLEU
type: bleu
value: 32.0
- name: chr-F
type: chrf
value: 0.59460
- task:
name: Translation eng-spa
type: translation
args: eng-spa
dataset:
name: newstest2010
type: wmt-2010-news
args: eng-spa
metrics:
- name: BLEU
type: bleu
value: 36.3
- name: chr-F
type: chrf
value: 0.61861
- task:
name: Translation deu-eng
type: translation
args: deu-eng
dataset:
name: newstest2011
type: wmt-2011-news
args: deu-eng
metrics:
- name: BLEU
type: bleu
value: 26.8
- name: chr-F
type: chrf
value: 0.55074
- task:
name: Translation deu-fra
type: translation
args: deu-fra
dataset:
name: newstest2011
type: wmt-2011-news
args: deu-fra
metrics:
- name: BLEU
type: bleu
value: 27.4
- name: chr-F
type: chrf
value: 0.55879
- task:
name: Translation deu-spa
type: translation
args: deu-spa
dataset:
name: newstest2011
type: wmt-2011-news
args: deu-spa
metrics:
- name: BLEU
type: bleu
value: 30.2
- name: chr-F
type: chrf
value: 0.56593
- task:
name: Translation eng-deu
type: translation
args: eng-deu
dataset:
name: newstest2011
type: wmt-2011-news
args: eng-deu
metrics:
- name: BLEU
type: bleu
value: 22.7
- name: chr-F
type: chrf
value: 0.52619
- task:
name: Translation eng-fra
type: translation
args: eng-fra
dataset:
name: newstest2011
type: wmt-2011-news
args: eng-fra
metrics:
- name: BLEU
type: bleu
value: 34.1
- name: chr-F
type: chrf
value: 0.60960
- task:
name: Translation eng-spa
type: translation
args: eng-spa
dataset:
name: newstest2011
type: wmt-2011-news
args: eng-spa
metrics:
- name: BLEU
type: bleu
value: 38.5
- name: chr-F
type: chrf
value: 0.62056
- task:
name: Translation deu-eng
type: translation
args: deu-eng
dataset:
name: newstest2012
type: wmt-2012-news
args: deu-eng
metrics:
- name: BLEU
type: bleu
value: 28.4
- name: chr-F
type: chrf
value: 0.56290
- task:
name: Translation deu-fra
type: translation
args: deu-fra
dataset:
name: newstest2012
type: wmt-2012-news
args: deu-fra
metrics:
- name: BLEU
type: bleu
value: 27.3
- name: chr-F
type: chrf
value: 0.55931
- task:
name: Translation deu-spa
type: translation
args: deu-spa
dataset:
name: newstest2012
type: wmt-2012-news
args: deu-spa
metrics:
- name: BLEU
type: bleu
value: 31.5
- name: chr-F
type: chrf
value: 0.57369
- task:
name: Translation eng-deu
type: translation
args: eng-deu
dataset:
name: newstest2012
type: wmt-2012-news
args: eng-deu
metrics:
- name: BLEU
type: bleu
value: 23.3
- name: chr-F
type: chrf
value: 0.52668
- task:
name: Translation eng-fra
type: translation
args: eng-fra
dataset:
name: newstest2012
type: wmt-2012-news
args: eng-fra
metrics:
- name: BLEU
type: bleu
value: 31.6
- name: chr-F
type: chrf
value: 0.59076
- task:
name: Translation eng-spa
type: translation
args: eng-spa
dataset:
name: newstest2012
type: wmt-2012-news
args: eng-spa
metrics:
- name: BLEU
type: bleu
value: 38.8
- name: chr-F
type: chrf
value: 0.62361
- task:
name: Translation deu-eng
type: translation
args: deu-eng
dataset:
name: newstest2013
type: wmt-2013-news
args: deu-eng
metrics:
- name: BLEU
type: bleu
value: 31.8
- name: chr-F
type: chrf
value: 0.58065
- task:
name: Translation deu-fra
type: translation
args: deu-fra
dataset:
name: newstest2013
type: wmt-2013-news
args: deu-fra
metrics:
- name: BLEU
type: bleu
value: 30.0
- name: chr-F
type: chrf
value: 0.56431
- task:
name: Translation deu-spa
type: translation
args: deu-spa
dataset:
name: newstest2013
type: wmt-2013-news
args: deu-spa
metrics:
- name: BLEU
type: bleu
value: 31.5
- name: chr-F
type: chrf
value: 0.56965
- task:
name: Translation eng-deu
type: translation
args: eng-deu
dataset:
name: newstest2013
type: wmt-2013-news
args: eng-deu
metrics:
- name: BLEU
type: bleu
value: 26.9
- name: chr-F
type: chrf
value: 0.55423
- task:
name: Translation eng-fra
type: translation
args: eng-fra
dataset:
name: newstest2013
type: wmt-2013-news
args: eng-fra
metrics:
- name: BLEU
type: bleu
value: 33.1
- name: chr-F
type: chrf
value: 0.58760
- task:
name: Translation eng-spa
type: translation
args: eng-spa
dataset:
name: newstest2013
type: wmt-2013-news
args: eng-spa
metrics:
- name: BLEU
type: bleu
value: 35.1
- name: chr-F
type: chrf
value: 0.59825
- task:
name: Translation deu-eng
type: translation
args: deu-eng
dataset:
name: newstest2014
type: wmt-2014-news
args: deu-eng
metrics:
- name: BLEU
type: bleu
value: 32.9
- name: chr-F
type: chrf
value: 0.59617
- task:
name: Translation eng-deu
type: translation
args: eng-deu
dataset:
name: newstest2014
type: wmt-2014-news
args: eng-deu
metrics:
- name: BLEU
type: bleu
value: 28.0
- name: chr-F
type: chrf
value: 0.58847
- task:
name: Translation eng-fra
type: translation
args: eng-fra
dataset:
name: newstest2014
type: wmt-2014-news
args: eng-fra
metrics:
- name: BLEU
type: bleu
value: 39.9
- name: chr-F
type: chrf
value: 0.65294
- task:
name: Translation deu-eng
type: translation
args: deu-eng
dataset:
name: newstest2015
type: wmt-2015-news
args: deu-eng
metrics:
- name: BLEU
type: bleu
value: 33.8
- name: chr-F
type: chrf
value: 0.59741
- task:
name: Translation eng-deu
type: translation
args: eng-deu
dataset:
name: newstest2015
type: wmt-2015-news
args: eng-deu
metrics:
- name: BLEU
type: bleu
value: 31.0
- name: chr-F
type: chrf
value: 0.59474
- task:
name: Translation deu-eng
type: translation
args: deu-eng
dataset:
name: newstest2016
type: wmt-2016-news
args: deu-eng
metrics:
- name: BLEU
type: bleu
value: 40.6
- name: chr-F
type: chrf
value: 0.64981
- task:
name: Translation eng-deu
type: translation
args: eng-deu
dataset:
name: newstest2016
type: wmt-2016-news
args: eng-deu
metrics:
- name: BLEU
type: bleu
value: 37.1
- name: chr-F
type: chrf
value: 0.63839
- task:
name: Translation deu-eng
type: translation
args: deu-eng
dataset:
name: newstest2017
type: wmt-2017-news
args: deu-eng
metrics:
- name: BLEU
type: bleu
value: 35.5
- name: chr-F
type: chrf
value: 0.60957
- task:
name: Translation eng-deu
type: translation
args: eng-deu
dataset:
name: newstest2017
type: wmt-2017-news
args: eng-deu
metrics:
- name: BLEU
type: bleu
value: 30.0
- name: chr-F
type: chrf
value: 0.58967
- task:
name: Translation deu-eng
type: translation
args: deu-eng
dataset:
name: newstest2018
type: wmt-2018-news
args: deu-eng
metrics:
- name: BLEU
type: bleu
value: 43.4
- name: chr-F
type: chrf
value: 0.66739
- task:
name: Translation eng-deu
type: translation
args: eng-deu
dataset:
name: newstest2018
type: wmt-2018-news
args: eng-deu
metrics:
- name: BLEU
type: bleu
value: 44.9
- name: chr-F
type: chrf
value: 0.68858
- task:
name: Translation deu-eng
type: translation
args: deu-eng
dataset:
name: newstest2019
type: wmt-2019-news
args: deu-eng
metrics:
- name: BLEU
type: bleu
value: 39.6
- name: chr-F
type: chrf
value: 0.63671
- task:
name: Translation deu-fra
type: translation
args: deu-fra
dataset:
name: newstest2019
type: wmt-2019-news
args: deu-fra
metrics:
- name: BLEU
type: bleu
value: 36.1
- name: chr-F
type: chrf
value: 0.63043
- task:
name: Translation eng-deu
type: translation
args: eng-deu
dataset:
name: newstest2019
type: wmt-2019-news
args: eng-deu
metrics:
- name: BLEU
type: bleu
value: 41.4
- name: chr-F
type: chrf
value: 0.65934
- task:
name: Translation deu-eng
type: translation
args: deu-eng
dataset:
name: newstest2020
type: wmt-2020-news
args: deu-eng
metrics:
- name: BLEU
type: bleu
value: 34.5
- name: chr-F
type: chrf
value: 0.60800
- task:
name: Translation deu-fra
type: translation
args: deu-fra
dataset:
name: newstest2020
type: wmt-2020-news
args: deu-fra
metrics:
- name: BLEU
type: bleu
value: 33.1
- name: chr-F
type: chrf
value: 0.60544
- task:
name: Translation eng-deu
type: translation
args: eng-deu
dataset:
name: newstest2020
type: wmt-2020-news
args: eng-deu
metrics:
- name: BLEU
type: bleu
value: 31.7
- name: chr-F
type: chrf
value: 0.60078
- task:
name: Translation deu-eng
type: translation
args: deu-eng
dataset:
name: newstest2021
type: wmt-2021-news
args: deu-eng
metrics:
- name: BLEU
type: bleu
value: 31.9
- name: chr-F
type: chrf
value: 0.60048
- task:
name: Translation deu-fra
type: translation
args: deu-fra
dataset:
name: newstest2021
type: wmt-2021-news
args: deu-fra
metrics:
- name: BLEU
type: bleu
value: 31.8
- name: chr-F
type: chrf
value: 0.59590
- task:
name: Translation eng-deu
type: translation
args: eng-deu
dataset:
name: newstest2021
type: wmt-2021-news
args: eng-deu
metrics:
- name: BLEU
type: bleu
value: 25.6
- name: chr-F
type: chrf
value: 0.56133
---
# opus-mt-tc-bible-big-gmw-deu_eng_fra_por_spa
## Table of Contents
- [Model Details](#model-details)
- [Uses](#uses)
- [Risks, Limitations and Biases](#risks-limitations-and-biases)
- [How to Get Started With the Model](#how-to-get-started-with-the-model)
- [Training](#training)
- [Evaluation](#evaluation)
- [Citation Information](#citation-information)
- [Acknowledgements](#acknowledgements)
## Model Details
Neural machine translation model for translating from West Germanic languages (gmw) to unknown (deu+eng+fra+por+spa).
This model is part of the [OPUS-MT project](https://github.com/Helsinki-NLP/Opus-MT), 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](https://marian-nmt.github.io/), 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](https://opus.nlpl.eu/) and training pipelines use the procedures of [OPUS-MT-train](https://github.com/Helsinki-NLP/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): afr ang bar bis bzj deu djk drt eng enm frr fry gos gsw hrx hwc icr jam kri ksh lim ltz nds nld ofs pcm pdc pfl pih pis rop sco srm srn stq swg tcs tpi vls wae yid zea
- Target Language(s): deu eng fra por spa
- Valid Target Language Labels: >>deu<< >>eng<< >>fra<< >>por<< >>spa<< >>xxx<<
- **Original Model**: [opusTCv20230926max50+bt+jhubc_transformer-big_2024-05-30.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/gmw-deu+eng+fra+por+spa/opusTCv20230926max50+bt+jhubc_transformer-big_2024-05-30.zip)
- **Resources for more information:**
- [OPUS-MT dashboard](https://opus.nlpl.eu/dashboard/index.php?pkg=opusmt&test=all&scoreslang=all&chart=standard&model=Tatoeba-MT-models/gmw-deu%2Beng%2Bfra%2Bpor%2Bspa/opusTCv20230926max50%2Bbt%2Bjhubc_transformer-big_2024-05-30)
- [OPUS-MT-train GitHub Repo](https://github.com/Helsinki-NLP/OPUS-MT-train)
- [More information about MarianNMT models in the transformers library](https://huggingface.co/docs/transformers/model_doc/marian)
- [Tatoeba Translation Challenge](https://github.com/Helsinki-NLP/Tatoeba-Challenge/)
- [HPLT bilingual data v1 (as part of the Tatoeba Translation Challenge dataset)](https://hplt-project.org/datasets/v1)
- [A massively parallel Bible corpus](https://aclanthology.org/L14-1215/)
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. `>>deu<<`
## 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)](https://aclanthology.org/2021.acl-long.330.pdf) and [Bender et al. (2021)](https://dl.acm.org/doi/pdf/10.1145/3442188.3445922)).
## How to Get Started With the Model
A short example code:
```python
from transformers import MarianMTModel, MarianTokenizer
src_text = [
">>deu<< Replace this with text in an accepted source language.",
">>spa<< This is the second sentence."
]
model_name = "pytorch-models/opus-mt-tc-bible-big-gmw-deu_eng_fra_por_spa"
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:
```python
from transformers import pipeline
pipe = pipeline("translation", model="Helsinki-NLP/opus-mt-tc-bible-big-gmw-deu_eng_fra_por_spa")
print(pipe(">>deu<< Replace this with text in an accepted source language."))
```
## Training
- **Data**: opusTCv20230926max50+bt+jhubc ([source](https://github.com/Helsinki-NLP/Tatoeba-Challenge))
- **Pre-processing**: SentencePiece (spm32k,spm32k)
- **Model Type:** transformer-big
- **Original MarianNMT Model**: [opusTCv20230926max50+bt+jhubc_transformer-big_2024-05-30.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/gmw-deu+eng+fra+por+spa/opusTCv20230926max50+bt+jhubc_transformer-big_2024-05-30.zip)
- **Training Scripts**: [GitHub Repo](https://github.com/Helsinki-NLP/OPUS-MT-train)
## Evaluation
* [Model scores at the OPUS-MT dashboard](https://opus.nlpl.eu/dashboard/index.php?pkg=opusmt&test=all&scoreslang=all&chart=standard&model=Tatoeba-MT-models/gmw-deu%2Beng%2Bfra%2Bpor%2Bspa/opusTCv20230926max50%2Bbt%2Bjhubc_transformer-big_2024-05-30)
* test set translations: [opusTCv20230926max50+bt+jhubc_transformer-big_2024-05-29.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/gmw-deu+eng+fra+por+spa/opusTCv20230926max50+bt+jhubc_transformer-big_2024-05-29.test.txt)
* test set scores: [opusTCv20230926max50+bt+jhubc_transformer-big_2024-05-29.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/gmw-deu+eng+fra+por+spa/opusTCv20230926max50+bt+jhubc_transformer-big_2024-05-29.eval.txt)
* benchmark results: [benchmark_results.txt](benchmark_results.txt)
* benchmark output: [benchmark_translations.zip](benchmark_translations.zip)
| langpair | testset | chr-F | BLEU | #sent | #words |
|----------|---------|-------|-------|-------|--------|
| afr-deu | tatoeba-test-v2021-08-07 | 0.68492 | 48.8 | 1583 | 9105 |
| afr-eng | tatoeba-test-v2021-08-07 | 0.72943 | 59.6 | 1374 | 9622 |
| afr-spa | tatoeba-test-v2021-08-07 | 0.72793 | 58.4 | 448 | 2783 |
| deu-deu | tatoeba-test-v2021-08-07 | 0.59840 | 34.8 | 2500 | 20806 |
| deu-eng | tatoeba-test-v2021-08-07 | 0.65957 | 48.5 | 17565 | 149462 |
| deu-fra | tatoeba-test-v2021-08-07 | 0.68054 | 50.2 | 12418 | 102721 |
| deu-por | tatoeba-test-v2021-08-07 | 0.63368 | 42.8 | 10000 | 81482 |
| deu-spa | tatoeba-test-v2021-08-07 | 0.68198 | 49.3 | 10521 | 82570 |
| eng-deu | tatoeba-test-v2021-08-07 | 0.62497 | 40.5 | 17565 | 151568 |
| eng-eng | tatoeba-test-v2021-08-07 | 0.79878 | 57.3 | 12062 | 115106 |
| eng-fra | tatoeba-test-v2021-08-07 | 0.68567 | 50.9 | 12681 | 106378 |
| eng-por | tatoeba-test-v2021-08-07 | 0.72204 | 53.4 | 13222 | 105265 |
| eng-spa | tatoeba-test-v2021-08-07 | 0.72539 | 55.3 | 16583 | 134710 |
| fry-eng | tatoeba-test-v2021-08-07 | 0.55137 | 37.0 | 220 | 1573 |
| gos-deu | tatoeba-test-v2021-08-07 | 0.46120 | 24.7 | 207 | 1168 |
| gos-eng | tatoeba-test-v2021-08-07 | 0.38628 | 22.3 | 1154 | 5635 |
| gsw-eng | tatoeba-test-v2021-08-07 | 0.43003 | 27.5 | 205 | 990 |
| ltz-deu | tatoeba-test-v2021-08-07 | 0.48474 | 32.0 | 347 | 2208 |
| ltz-eng | tatoeba-test-v2021-08-07 | 0.65366 | 56.4 | 293 | 1840 |
| nds-deu | tatoeba-test-v2021-08-07 | 0.65251 | 45.9 | 9999 | 74564 |
| nds-eng | tatoeba-test-v2021-08-07 | 0.61858 | 44.7 | 2500 | 17589 |
| nds-fra | tatoeba-test-v2021-08-07 | 0.60412 | 43.9 | 857 | 5676 |
| nds-por | tatoeba-test-v2021-08-07 | 0.58778 | 39.5 | 207 | 1256 |
| nds-spa | tatoeba-test-v2021-08-07 | 0.63404 | 43.9 | 923 | 5540 |
| nld-deu | tatoeba-test-v2021-08-07 | 0.72998 | 55.7 | 10218 | 74131 |
| nld-eng | tatoeba-test-v2021-08-07 | 0.74362 | 60.9 | 12696 | 89978 |
| nld-fra | tatoeba-test-v2021-08-07 | 0.68461 | 48.0 | 11548 | 82974 |
| nld-por | tatoeba-test-v2021-08-07 | 0.68798 | 49.3 | 2500 | 17326 |
| nld-spa | tatoeba-test-v2021-08-07 | 0.69971 | 51.6 | 10113 | 74981 |
| yid-eng | tatoeba-test-v2021-08-07 | 0.49807 | 31.5 | 2483 | 15452 |
| yid-fra | tatoeba-test-v2021-08-07 | 0.54147 | 31.9 | 384 | 2455 |
| afr-deu | flores101-devtest | 0.57831 | 28.4 | 1012 | 25094 |
| afr-eng | flores101-devtest | 0.74272 | 53.8 | 1012 | 24721 |
| afr-fra | flores101-devtest | 0.61936 | 36.4 | 1012 | 28343 |
| afr-por | flores101-devtest | 0.61309 | 35.4 | 1012 | 26519 |
| afr-spa | flores101-devtest | 0.51393 | 22.9 | 1012 | 29199 |
| deu-spa | flores101-devtest | 0.52438 | 23.9 | 1012 | 29199 |
| eng-deu | flores101-devtest | 0.64236 | 37.2 | 1012 | 25094 |
| eng-spa | flores101-devtest | 0.55524 | 27.1 | 1012 | 29199 |
| nld-deu | flores101-devtest | 0.53435 | 22.1 | 1012 | 25094 |
| nld-eng | flores101-devtest | 0.58686 | 30.0 | 1012 | 24721 |
| nld-fra | flores101-devtest | 0.56292 | 28.2 | 1012 | 28343 |
| afr-deu | flores200-devtest | 0.58456 | 29.5 | 1012 | 25094 |
| afr-eng | flores200-devtest | 0.74857 | 54.7 | 1012 | 24721 |
| afr-fra | flores200-devtest | 0.62537 | 37.2 | 1012 | 28343 |
| afr-por | flores200-devtest | 0.61751 | 36.1 | 1012 | 26519 |
| afr-spa | flores200-devtest | 0.51647 | 23.2 | 1012 | 29199 |
| deu-eng | flores200-devtest | 0.67103 | 41.4 | 1012 | 24721 |
| deu-fra | flores200-devtest | 0.62658 | 36.8 | 1012 | 28343 |
| deu-por | flores200-devtest | 0.60909 | 34.8 | 1012 | 26519 |
| deu-spa | flores200-devtest | 0.52584 | 24.2 | 1012 | 29199 |
| eng-deu | flores200-devtest | 0.64560 | 37.5 | 1012 | 25094 |
| eng-fra | flores200-devtest | 0.70736 | 49.1 | 1012 | 28343 |
| eng-por | flores200-devtest | 0.71065 | 49.5 | 1012 | 26519 |
| eng-spa | flores200-devtest | 0.55738 | 27.4 | 1012 | 29199 |
| lim-deu | flores200-devtest | 0.45062 | 16.1 | 1012 | 25094 |
| lim-eng | flores200-devtest | 0.48217 | 21.8 | 1012 | 24721 |
| lim-fra | flores200-devtest | 0.44347 | 18.5 | 1012 | 28343 |
| lim-por | flores200-devtest | 0.42527 | 16.8 | 1012 | 26519 |
| ltz-deu | flores200-devtest | 0.60114 | 31.3 | 1012 | 25094 |
| ltz-eng | flores200-devtest | 0.64345 | 39.3 | 1012 | 24721 |
| ltz-fra | flores200-devtest | 0.59368 | 33.8 | 1012 | 28343 |
| ltz-por | flores200-devtest | 0.51545 | 24.8 | 1012 | 26519 |
| ltz-spa | flores200-devtest | 0.44821 | 17.5 | 1012 | 29199 |
| nld-deu | flores200-devtest | 0.53650 | 22.4 | 1012 | 25094 |
| nld-eng | flores200-devtest | 0.59102 | 30.6 | 1012 | 24721 |
| nld-fra | flores200-devtest | 0.56608 | 28.7 | 1012 | 28343 |
| nld-por | flores200-devtest | 0.54728 | 26.7 | 1012 | 26519 |
| nld-spa | flores200-devtest | 0.49175 | 20.1 | 1012 | 29199 |
| tpi-deu | flores200-devtest | 0.40350 | 10.9 | 1012 | 25094 |
| tpi-eng | flores200-devtest | 0.48289 | 19.6 | 1012 | 24721 |
| tpi-fra | flores200-devtest | 0.43428 | 16.1 | 1012 | 28343 |
| tpi-por | flores200-devtest | 0.42966 | 15.4 | 1012 | 26519 |
| deu-eng | generaltest2022 | 0.56042 | 31.0 | 1984 | 37634 |
| deu-fra | generaltest2022 | 0.61145 | 37.6 | 1984 | 38276 |
| eng-deu | generaltest2022 | 0.60090 | 32.5 | 2037 | 38914 |
| deu-eng | multi30k_test_2016_flickr | 0.60974 | 40.1 | 1000 | 12955 |
| deu-fra | multi30k_test_2016_flickr | 0.62493 | 38.8 | 1000 | 13505 |
| eng-deu | multi30k_test_2016_flickr | 0.64164 | 35.3 | 1000 | 12106 |
| eng-fra | multi30k_test_2016_flickr | 0.71137 | 50.7 | 1000 | 13505 |
| deu-eng | multi30k_test_2017_flickr | 0.63118 | 40.6 | 1000 | 11374 |
| deu-fra | multi30k_test_2017_flickr | 0.62614 | 37.0 | 1000 | 12118 |
| eng-deu | multi30k_test_2017_flickr | 0.62518 | 33.4 | 1000 | 10755 |
| eng-fra | multi30k_test_2017_flickr | 0.71402 | 50.3 | 1000 | 12118 |
| deu-eng | multi30k_test_2017_mscoco | 0.55495 | 32.1 | 461 | 5231 |
| deu-fra | multi30k_test_2017_mscoco | 0.59307 | 34.7 | 461 | 5484 |
| eng-deu | multi30k_test_2017_mscoco | 0.58028 | 29.7 | 461 | 5158 |
| eng-fra | multi30k_test_2017_mscoco | 0.73637 | 54.7 | 461 | 5484 |
| deu-eng | multi30k_test_2018_flickr | 0.59367 | 36.7 | 1071 | 14689 |
| deu-fra | multi30k_test_2018_flickr | 0.57388 | 31.3 | 1071 | 15867 |
| eng-deu | multi30k_test_2018_flickr | 0.59998 | 30.8 | 1071 | 13703 |
| eng-fra | multi30k_test_2018_flickr | 0.65354 | 41.6 | 1071 | 15867 |
| eng-fra | newsdiscusstest2015 | 0.63308 | 37.7 | 1500 | 27975 |
| deu-eng | newssyscomb2009 | 0.55170 | 28.3 | 502 | 11818 |
| deu-fra | newssyscomb2009 | 0.56021 | 27.4 | 502 | 12331 |
| deu-spa | newssyscomb2009 | 0.55546 | 28.1 | 502 | 12503 |
| eng-deu | newssyscomb2009 | 0.53919 | 23.0 | 502 | 11271 |
| eng-fra | newssyscomb2009 | 0.58384 | 29.5 | 502 | 12331 |
| eng-spa | newssyscomb2009 | 0.58266 | 31.0 | 502 | 12503 |
| deu-eng | newstest2008 | 0.54434 | 27.0 | 2051 | 49380 |
| deu-fra | newstest2008 | 0.55076 | 26.2 | 2051 | 52685 |
| deu-spa | newstest2008 | 0.54056 | 25.6 | 2051 | 52586 |
| eng-deu | newstest2008 | 0.52906 | 23.0 | 2051 | 47447 |
| eng-fra | newstest2008 | 0.55247 | 26.8 | 2051 | 52685 |
| eng-spa | newstest2008 | 0.56423 | 29.6 | 2051 | 52586 |
| deu-eng | newstest2009 | 0.53972 | 26.7 | 2525 | 65399 |
| deu-fra | newstest2009 | 0.53975 | 25.6 | 2525 | 69263 |
| deu-spa | newstest2009 | 0.53677 | 25.6 | 2525 | 68111 |
| eng-deu | newstest2009 | 0.53097 | 22.1 | 2525 | 62816 |
| eng-fra | newstest2009 | 0.57542 | 29.1 | 2525 | 69263 |
| eng-spa | newstest2009 | 0.57733 | 29.8 | 2525 | 68111 |
| deu-eng | newstest2010 | 0.58278 | 30.2 | 2489 | 61711 |
| deu-fra | newstest2010 | 0.57876 | 29.0 | 2489 | 66022 |
| deu-spa | newstest2010 | 0.59402 | 32.6 | 2489 | 65480 |
| eng-deu | newstest2010 | 0.54587 | 25.3 | 2489 | 61503 |
| eng-fra | newstest2010 | 0.59460 | 32.0 | 2489 | 66022 |
| eng-spa | newstest2010 | 0.61861 | 36.3 | 2489 | 65480 |
| deu-eng | newstest2011 | 0.55074 | 26.8 | 3003 | 74681 |
| deu-fra | newstest2011 | 0.55879 | 27.4 | 3003 | 80626 |
| deu-spa | newstest2011 | 0.56593 | 30.2 | 3003 | 79476 |
| eng-deu | newstest2011 | 0.52619 | 22.7 | 3003 | 72981 |
| eng-fra | newstest2011 | 0.60960 | 34.1 | 3003 | 80626 |
| eng-spa | newstest2011 | 0.62056 | 38.5 | 3003 | 79476 |
| deu-eng | newstest2012 | 0.56290 | 28.4 | 3003 | 72812 |
| deu-fra | newstest2012 | 0.55931 | 27.3 | 3003 | 78011 |
| deu-spa | newstest2012 | 0.57369 | 31.5 | 3003 | 79006 |
| eng-deu | newstest2012 | 0.52668 | 23.3 | 3003 | 72886 |
| eng-fra | newstest2012 | 0.59076 | 31.6 | 3003 | 78011 |
| eng-spa | newstest2012 | 0.62361 | 38.8 | 3003 | 79006 |
| deu-eng | newstest2013 | 0.58065 | 31.8 | 3000 | 64505 |
| deu-fra | newstest2013 | 0.56431 | 30.0 | 3000 | 70037 |
| deu-spa | newstest2013 | 0.56965 | 31.5 | 3000 | 70528 |
| eng-deu | newstest2013 | 0.55423 | 26.9 | 3000 | 63737 |
| eng-fra | newstest2013 | 0.58760 | 33.1 | 3000 | 70037 |
| eng-spa | newstest2013 | 0.59825 | 35.1 | 3000 | 70528 |
| deu-eng | newstest2014 | 0.59617 | 32.9 | 3003 | 67337 |
| eng-deu | newstest2014 | 0.58847 | 28.0 | 3003 | 62688 |
| eng-fra | newstest2014 | 0.65294 | 39.9 | 3003 | 77306 |
| deu-eng | newstest2015 | 0.59741 | 33.8 | 2169 | 46443 |
| eng-deu | newstest2015 | 0.59474 | 31.0 | 2169 | 44260 |
| deu-eng | newstest2016 | 0.64981 | 40.6 | 2999 | 64119 |
| eng-deu | newstest2016 | 0.63839 | 37.1 | 2999 | 62669 |
| deu-eng | newstest2017 | 0.60957 | 35.5 | 3004 | 64399 |
| eng-deu | newstest2017 | 0.58967 | 30.0 | 3004 | 61287 |
| deu-eng | newstest2018 | 0.66739 | 43.4 | 2998 | 67012 |
| eng-deu | newstest2018 | 0.68858 | 44.9 | 2998 | 64276 |
| deu-eng | newstest2019 | 0.63671 | 39.6 | 2000 | 39227 |
| deu-fra | newstest2019 | 0.63043 | 36.1 | 1701 | 42509 |
| eng-deu | newstest2019 | 0.65934 | 41.4 | 1997 | 48746 |
| deu-eng | newstest2020 | 0.60800 | 34.5 | 785 | 38220 |
| deu-fra | newstest2020 | 0.60544 | 33.1 | 1619 | 36890 |
| eng-deu | newstest2020 | 0.60078 | 31.7 | 1418 | 52383 |
| deu-eng | newstest2021 | 0.60048 | 31.9 | 1000 | 20180 |
| deu-fra | newstest2021 | 0.59590 | 31.8 | 1000 | 23757 |
| eng-deu | newstest2021 | 0.56133 | 25.6 | 1002 | 27970 |
| deu-eng | newstestALL2020 | 0.60800 | 34.5 | 785 | 38220 |
| eng-deu | newstestALL2020 | 0.60078 | 31.7 | 1418 | 52383 |
| deu-eng | newstestB2020 | 0.60795 | 34.4 | 785 | 37696 |
| eng-deu | newstestB2020 | 0.59256 | 31.5 | 1418 | 53092 |
| afr-deu | ntrex128 | 0.55289 | 25.8 | 1997 | 48761 |
| afr-eng | ntrex128 | 0.72558 | 51.8 | 1997 | 47673 |
| afr-fra | ntrex128 | 0.56601 | 29.3 | 1997 | 53481 |
| afr-por | ntrex128 | 0.55396 | 28.1 | 1997 | 51631 |
| afr-spa | ntrex128 | 0.58558 | 33.7 | 1997 | 54107 |
| deu-eng | ntrex128 | 0.61722 | 33.8 | 1997 | 47673 |
| deu-fra | ntrex128 | 0.55908 | 28.6 | 1997 | 53481 |
| deu-por | ntrex128 | 0.54059 | 25.7 | 1997 | 51631 |
| deu-spa | ntrex128 | 0.56887 | 30.8 | 1997 | 54107 |
| eng-deu | ntrex128 | 0.58492 | 29.8 | 1997 | 48761 |
| eng-fra | ntrex128 | 0.61349 | 35.2 | 1997 | 53481 |
| eng-por | ntrex128 | 0.59785 | 33.4 | 1997 | 51631 |
| eng-spa | ntrex128 | 0.63935 | 40.1 | 1997 | 54107 |
| ltz-deu | ntrex128 | 0.51469 | 21.9 | 1997 | 48761 |
| ltz-eng | ntrex128 | 0.58627 | 32.4 | 1997 | 47673 |
| ltz-fra | ntrex128 | 0.50491 | 22.8 | 1997 | 53481 |
| ltz-por | ntrex128 | 0.45364 | 18.7 | 1997 | 51631 |
| ltz-spa | ntrex128 | 0.47568 | 21.6 | 1997 | 54107 |
| nld-deu | ntrex128 | 0.55943 | 25.7 | 1997 | 48761 |
| nld-eng | ntrex128 | 0.63470 | 36.1 | 1997 | 47673 |
| nld-fra | ntrex128 | 0.55832 | 27.5 | 1997 | 53481 |
| nld-por | ntrex128 | 0.54714 | 27.3 | 1997 | 51631 |
| nld-spa | ntrex128 | 0.57692 | 32.1 | 1997 | 54107 |
| eng-fra | tico19-test | 0.62559 | 39.5 | 2100 | 64661 |
| eng-por | tico19-test | 0.72765 | 49.8 | 2100 | 62729 |
| eng-spa | tico19-test | 0.72905 | 51.6 | 2100 | 66563 |
## Citation Information
* Publications: [Democratizing neural machine translation with OPUS-MT](https://doi.org/10.1007/s10579-023-09704-w) and [OPUS-MT – Building open translation services for the World](https://aclanthology.org/2020.eamt-1.61/) and [The Tatoeba Translation Challenge – Realistic Data Sets for Low Resource and Multilingual MT](https://aclanthology.org/2020.wmt-1.139/) (Please, cite if you use this model.)
```bibtex
@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](https://hplt-project.org/), 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](https://www.csc.fi/), Finland, and the [EuroHPC supercomputer LUMI](https://www.lumi-supercomputer.eu/).
## Model conversion info
* transformers version: 4.45.1
* OPUS-MT git hash: 0882077
* port time: Tue Oct 8 11:18:52 EEST 2024
* port machine: LM0-400-22516.local