metadata
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-deu_eng_fra_por_spa-gmw
results:
- task:
name: Translation deu-afr
type: translation
args: deu-afr
dataset:
name: flores200-devtest
type: flores200-devtest
args: deu-afr
metrics:
- name: BLEU
type: bleu
value: 26.2
- name: chr-F
type: chrf
value: 0.57725
- 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: 41.5
- name: chr-F
type: chrf
value: 0.67043
- task:
name: Translation deu-ltz
type: translation
args: deu-ltz
dataset:
name: flores200-devtest
type: flores200-devtest
args: deu-ltz
metrics:
- name: BLEU
type: bleu
value: 21.6
- name: chr-F
type: chrf
value: 0.54626
- task:
name: Translation deu-nld
type: translation
args: deu-nld
dataset:
name: flores200-devtest
type: flores200-devtest
args: deu-nld
metrics:
- name: BLEU
type: bleu
value: 24
- name: chr-F
type: chrf
value: 0.55679
- task:
name: Translation deu-tpi
type: translation
args: deu-tpi
dataset:
name: flores200-devtest
type: flores200-devtest
args: deu-tpi
metrics:
- name: BLEU
type: bleu
value: 13.5
- name: chr-F
type: chrf
value: 0.39146
- task:
name: Translation eng-afr
type: translation
args: eng-afr
dataset:
name: flores200-devtest
type: flores200-devtest
args: eng-afr
metrics:
- name: BLEU
type: bleu
value: 40.2
- name: chr-F
type: chrf
value: 0.68115
- 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: 37.4
- name: chr-F
type: chrf
value: 0.64561
- task:
name: Translation eng-ltz
type: translation
args: eng-ltz
dataset:
name: flores200-devtest
type: flores200-devtest
args: eng-ltz
metrics:
- name: BLEU
type: bleu
value: 22
- name: chr-F
type: chrf
value: 0.54932
- task:
name: Translation eng-nld
type: translation
args: eng-nld
dataset:
name: flores200-devtest
type: flores200-devtest
args: eng-nld
metrics:
- name: BLEU
type: bleu
value: 26.8
- name: chr-F
type: chrf
value: 0.58124
- task:
name: Translation eng-tpi
type: translation
args: eng-tpi
dataset:
name: flores200-devtest
type: flores200-devtest
args: eng-tpi
metrics:
- name: BLEU
type: bleu
value: 15.9
- name: chr-F
type: chrf
value: 0.40338
- task:
name: Translation fra-afr
type: translation
args: fra-afr
dataset:
name: flores200-devtest
type: flores200-devtest
args: fra-afr
metrics:
- name: BLEU
type: bleu
value: 26.4
- name: chr-F
type: chrf
value: 0.5732
- task:
name: Translation fra-deu
type: translation
args: fra-deu
dataset:
name: flores200-devtest
type: flores200-devtest
args: fra-deu
metrics:
- name: BLEU
type: bleu
value: 29.5
- name: chr-F
type: chrf
value: 0.58974
- task:
name: Translation fra-eng
type: translation
args: fra-eng
dataset:
name: flores200-devtest
type: flores200-devtest
args: fra-eng
metrics:
- name: BLEU
type: bleu
value: 43.7
- name: chr-F
type: chrf
value: 0.68106
- task:
name: Translation fra-ltz
type: translation
args: fra-ltz
dataset:
name: flores200-devtest
type: flores200-devtest
args: fra-ltz
metrics:
- name: BLEU
type: bleu
value: 17.8
- name: chr-F
type: chrf
value: 0.49618
- task:
name: Translation fra-nld
type: translation
args: fra-nld
dataset:
name: flores200-devtest
type: flores200-devtest
args: fra-nld
metrics:
- name: BLEU
type: bleu
value: 22.5
- name: chr-F
type: chrf
value: 0.54623
- task:
name: Translation fra-tpi
type: translation
args: fra-tpi
dataset:
name: flores200-devtest
type: flores200-devtest
args: fra-tpi
metrics:
- name: BLEU
type: bleu
value: 13.7
- name: chr-F
type: chrf
value: 0.39334
- task:
name: Translation por-afr
type: translation
args: por-afr
dataset:
name: flores200-devtest
type: flores200-devtest
args: por-afr
metrics:
- name: BLEU
type: bleu
value: 27.6
- name: chr-F
type: chrf
value: 0.58408
- task:
name: Translation por-deu
type: translation
args: por-deu
dataset:
name: flores200-devtest
type: flores200-devtest
args: por-deu
metrics:
- name: BLEU
type: bleu
value: 30.4
- name: chr-F
type: chrf
value: 0.59121
- task:
name: Translation por-eng
type: translation
args: por-eng
dataset:
name: flores200-devtest
type: flores200-devtest
args: por-eng
metrics:
- name: BLEU
type: bleu
value: 48.3
- name: chr-F
type: chrf
value: 0.71418
- task:
name: Translation por-ltz
type: translation
args: por-ltz
dataset:
name: flores200-devtest
type: flores200-devtest
args: por-ltz
metrics:
- name: BLEU
type: bleu
value: 12.3
- name: chr-F
type: chrf
value: 0.39073
- task:
name: Translation por-nld
type: translation
args: por-nld
dataset:
name: flores200-devtest
type: flores200-devtest
args: por-nld
metrics:
- name: BLEU
type: bleu
value: 22.9
- name: chr-F
type: chrf
value: 0.54828
- task:
name: Translation por-tpi
type: translation
args: por-tpi
dataset:
name: flores200-devtest
type: flores200-devtest
args: por-tpi
metrics:
- name: BLEU
type: bleu
value: 13.7
- name: chr-F
type: chrf
value: 0.38929
- task:
name: Translation spa-afr
type: translation
args: spa-afr
dataset:
name: flores200-devtest
type: flores200-devtest
args: spa-afr
metrics:
- name: BLEU
type: bleu
value: 17.8
- name: chr-F
type: chrf
value: 0.51514
- task:
name: Translation spa-deu
type: translation
args: spa-deu
dataset:
name: flores200-devtest
type: flores200-devtest
args: spa-deu
metrics:
- name: BLEU
type: bleu
value: 21.4
- name: chr-F
type: chrf
value: 0.53603
- task:
name: Translation spa-eng
type: translation
args: spa-eng
dataset:
name: flores200-devtest
type: flores200-devtest
args: spa-eng
metrics:
- name: BLEU
type: bleu
value: 28.2
- name: chr-F
type: chrf
value: 0.58604
- task:
name: Translation spa-nld
type: translation
args: spa-nld
dataset:
name: flores200-devtest
type: flores200-devtest
args: spa-nld
metrics:
- name: BLEU
type: bleu
value: 17.9
- name: chr-F
type: chrf
value: 0.51244
- task:
name: Translation spa-tpi
type: translation
args: spa-tpi
dataset:
name: flores200-devtest
type: flores200-devtest
args: spa-tpi
metrics:
- name: BLEU
type: bleu
value: 12.2
- name: chr-F
type: chrf
value: 0.37967
- task:
name: Translation deu-afr
type: translation
args: deu-afr
dataset:
name: flores101-devtest
type: flores_101
args: deu afr devtest
metrics:
- name: BLEU
type: bleu
value: 26
- name: chr-F
type: chrf
value: 0.57287
- task:
name: Translation deu-eng
type: translation
args: deu-eng
dataset:
name: flores101-devtest
type: flores_101
args: deu eng devtest
metrics:
- name: BLEU
type: bleu
value: 40.9
- name: chr-F
type: chrf
value: 0.6666
- task:
name: Translation deu-nld
type: translation
args: deu-nld
dataset:
name: flores101-devtest
type: flores_101
args: deu nld devtest
metrics:
- name: BLEU
type: bleu
value: 23.6
- name: chr-F
type: chrf
value: 0.55423
- task:
name: Translation eng-afr
type: translation
args: eng-afr
dataset:
name: flores101-devtest
type: flores_101
args: eng afr devtest
metrics:
- name: BLEU
type: bleu
value: 40
- name: chr-F
type: chrf
value: 0.67793
- 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: 0.64295
- task:
name: Translation eng-nld
type: translation
args: eng-nld
dataset:
name: flores101-devtest
type: flores_101
args: eng nld devtest
metrics:
- name: BLEU
type: bleu
value: 26.2
- name: chr-F
type: chrf
value: 0.5769
- task:
name: Translation fra-ltz
type: translation
args: fra-ltz
dataset:
name: flores101-devtest
type: flores_101
args: fra ltz devtest
metrics:
- name: BLEU
type: bleu
value: 17.3
- name: chr-F
type: chrf
value: 0.4943
- task:
name: Translation fra-nld
type: translation
args: fra-nld
dataset:
name: flores101-devtest
type: flores_101
args: fra nld devtest
metrics:
- name: BLEU
type: bleu
value: 22.2
- name: chr-F
type: chrf
value: 0.54318
- task:
name: Translation por-deu
type: translation
args: por-deu
dataset:
name: flores101-devtest
type: flores_101
args: por deu devtest
metrics:
- name: BLEU
type: bleu
value: 29.8
- name: chr-F
type: chrf
value: 0.58851
- task:
name: Translation por-nld
type: translation
args: por-nld
dataset:
name: flores101-devtest
type: flores_101
args: por nld devtest
metrics:
- name: BLEU
type: bleu
value: 22.6
- name: chr-F
type: chrf
value: 0.54571
- task:
name: Translation spa-nld
type: translation
args: spa-nld
dataset:
name: flores101-devtest
type: flores_101
args: spa nld devtest
metrics:
- name: BLEU
type: bleu
value: 17.5
- name: chr-F
type: chrf
value: 0.50968
- task:
name: Translation deu-eng
type: translation
args: deu-eng
dataset:
name: generaltest2022
type: generaltest2022
args: deu-eng
metrics:
- name: BLEU
type: bleu
value: 30.6
- name: chr-F
type: chrf
value: 0.55777
- task:
name: Translation eng-deu
type: translation
args: eng-deu
dataset:
name: generaltest2022
type: generaltest2022
args: eng-deu
metrics:
- name: BLEU
type: bleu
value: 33
- name: chr-F
type: chrf
value: 0.60792
- task:
name: Translation fra-deu
type: translation
args: fra-deu
dataset:
name: generaltest2022
type: generaltest2022
args: fra-deu
metrics:
- name: BLEU
type: bleu
value: 44.5
- name: chr-F
type: chrf
value: 0.67039
- 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: 0.60981
- 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: 34.9
- name: chr-F
type: chrf
value: 0.64153
- task:
name: Translation fra-deu
type: translation
args: fra-deu
dataset:
name: multi30k_test_2016_flickr
type: multi30k-2016_flickr
args: fra-deu
metrics:
- name: BLEU
type: bleu
value: 32.1
- name: chr-F
type: chrf
value: 0.61781
- task:
name: Translation fra-eng
type: translation
args: fra-eng
dataset:
name: multi30k_test_2016_flickr
type: multi30k-2016_flickr
args: fra-eng
metrics:
- name: BLEU
type: bleu
value: 47.9
- name: chr-F
type: chrf
value: 0.66703
- 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: 41
- name: chr-F
type: chrf
value: 0.63624
- 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: 34.6
- name: chr-F
type: chrf
value: 0.63423
- task:
name: Translation fra-deu
type: translation
args: fra-deu
dataset:
name: multi30k_test_2017_flickr
type: multi30k-2017_flickr
args: fra-deu
metrics:
- name: BLEU
type: bleu
value: 29.7
- name: chr-F
type: chrf
value: 0.60084
- task:
name: Translation fra-eng
type: translation
args: fra-eng
dataset:
name: multi30k_test_2017_flickr
type: multi30k-2017_flickr
args: fra-eng
metrics:
- name: BLEU
type: bleu
value: 50.4
- name: chr-F
type: chrf
value: 0.69254
- 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: 32.5
- name: chr-F
type: chrf
value: 0.5579
- 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: 28.6
- name: chr-F
type: chrf
value: 0.57491
- task:
name: Translation fra-deu
type: translation
args: fra-deu
dataset:
name: multi30k_test_2017_mscoco
type: multi30k-2017_mscoco
args: fra-deu
metrics:
- name: BLEU
type: bleu
value: 26.4
- name: chr-F
type: chrf
value: 0.56108
- task:
name: Translation fra-eng
type: translation
args: fra-eng
dataset:
name: multi30k_test_2017_mscoco
type: multi30k-2017_mscoco
args: fra-eng
metrics:
- name: BLEU
type: bleu
value: 49.1
- name: chr-F
type: chrf
value: 0.68212
- 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: 36.6
- name: chr-F
type: chrf
value: 0.59322
- 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
- name: chr-F
type: chrf
value: 0.59858
- task:
name: Translation fra-deu
type: translation
args: fra-deu
dataset:
name: multi30k_test_2018_flickr
type: multi30k-2018_flickr
args: fra-deu
metrics:
- name: BLEU
type: bleu
value: 24.7
- name: chr-F
type: chrf
value: 0.55667
- task:
name: Translation fra-eng
type: translation
args: fra-eng
dataset:
name: multi30k_test_2018_flickr
type: multi30k-2018_flickr
args: fra-eng
metrics:
- name: BLEU
type: bleu
value: 43.4
- name: chr-F
type: chrf
value: 0.64702
- task:
name: Translation fra-eng
type: translation
args: fra-eng
dataset:
name: newsdiscusstest2015
type: newsdiscusstest2015
args: fra-eng
metrics:
- name: BLEU
type: bleu
value: 38.5
- name: chr-F
type: chrf
value: 0.61399
- 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
- name: chr-F
type: chrf
value: 0.60403
- task:
name: Translation eng-deu
type: translation
args: eng-deu
dataset:
name: newstestALL2020
type: newstestALL2020
args: eng-deu
metrics:
- name: BLEU
type: bleu
value: 32.3
- name: chr-F
type: chrf
value: 0.60255
- task:
name: Translation deu-afr
type: translation
args: deu-afr
dataset:
name: ntrex128
type: ntrex128
args: deu-afr
metrics:
- name: BLEU
type: bleu
value: 27.9
- name: chr-F
type: chrf
value: 0.57109
- task:
name: Translation deu-eng
type: translation
args: deu-eng
dataset:
name: ntrex128
type: ntrex128
args: deu-eng
metrics:
- name: BLEU
type: bleu
value: 34.5
- name: chr-F
type: chrf
value: 0.62043
- task:
name: Translation deu-ltz
type: translation
args: deu-ltz
dataset:
name: ntrex128
type: ntrex128
args: deu-ltz
metrics:
- name: BLEU
type: bleu
value: 15.4
- name: chr-F
type: chrf
value: 0.47642
- task:
name: Translation deu-nld
type: translation
args: deu-nld
dataset:
name: ntrex128
type: ntrex128
args: deu-nld
metrics:
- name: BLEU
type: bleu
value: 27.6
- name: chr-F
type: chrf
value: 0.56777
- task:
name: Translation eng-afr
type: translation
args: eng-afr
dataset:
name: ntrex128
type: ntrex128
args: eng-afr
metrics:
- name: BLEU
type: bleu
value: 44.1
- name: chr-F
type: chrf
value: 0.68616
- task:
name: Translation eng-deu
type: translation
args: eng-deu
dataset:
name: ntrex128
type: ntrex128
args: eng-deu
metrics:
- name: BLEU
type: bleu
value: 30.2
- name: chr-F
type: chrf
value: 0.58743
- task:
name: Translation eng-ltz
type: translation
args: eng-ltz
dataset:
name: ntrex128
type: ntrex128
args: eng-ltz
metrics:
- name: BLEU
type: bleu
value: 18
- name: chr-F
type: chrf
value: 0.50083
- task:
name: Translation eng-nld
type: translation
args: eng-nld
dataset:
name: ntrex128
type: ntrex128
args: eng-nld
metrics:
- name: BLEU
type: bleu
value: 33.8
- name: chr-F
type: chrf
value: 0.61041
- task:
name: Translation fra-afr
type: translation
args: fra-afr
dataset:
name: ntrex128
type: ntrex128
args: fra-afr
metrics:
- name: BLEU
type: bleu
value: 26.5
- name: chr-F
type: chrf
value: 0.55607
- task:
name: Translation fra-deu
type: translation
args: fra-deu
dataset:
name: ntrex128
type: ntrex128
args: fra-deu
metrics:
- name: BLEU
type: bleu
value: 23.6
- name: chr-F
type: chrf
value: 0.53269
- task:
name: Translation fra-eng
type: translation
args: fra-eng
dataset:
name: ntrex128
type: ntrex128
args: fra-eng
metrics:
- name: BLEU
type: bleu
value: 34.4
- name: chr-F
type: chrf
value: 0.61058
- task:
name: Translation fra-ltz
type: translation
args: fra-ltz
dataset:
name: ntrex128
type: ntrex128
args: fra-ltz
metrics:
- name: BLEU
type: bleu
value: 12
- name: chr-F
type: chrf
value: 0.41312
- task:
name: Translation fra-nld
type: translation
args: fra-nld
dataset:
name: ntrex128
type: ntrex128
args: fra-nld
metrics:
- name: BLEU
type: bleu
value: 25.2
- name: chr-F
type: chrf
value: 0.54615
- task:
name: Translation por-afr
type: translation
args: por-afr
dataset:
name: ntrex128
type: ntrex128
args: por-afr
metrics:
- name: BLEU
type: bleu
value: 29.2
- name: chr-F
type: chrf
value: 0.58296
- task:
name: Translation por-deu
type: translation
args: por-deu
dataset:
name: ntrex128
type: ntrex128
args: por-deu
metrics:
- name: BLEU
type: bleu
value: 24.7
- name: chr-F
type: chrf
value: 0.54944
- task:
name: Translation por-eng
type: translation
args: por-eng
dataset:
name: ntrex128
type: ntrex128
args: por-eng
metrics:
- name: BLEU
type: bleu
value: 39.6
- name: chr-F
type: chrf
value: 0.65002
- task:
name: Translation por-nld
type: translation
args: por-nld
dataset:
name: ntrex128
type: ntrex128
args: por-nld
metrics:
- name: BLEU
type: bleu
value: 28.1
- name: chr-F
type: chrf
value: 0.56384
- task:
name: Translation spa-afr
type: translation
args: spa-afr
dataset:
name: ntrex128
type: ntrex128
args: spa-afr
metrics:
- name: BLEU
type: bleu
value: 27.7
- name: chr-F
type: chrf
value: 0.57772
- task:
name: Translation spa-deu
type: translation
args: spa-deu
dataset:
name: ntrex128
type: ntrex128
args: spa-deu
metrics:
- name: BLEU
type: bleu
value: 24
- name: chr-F
type: chrf
value: 0.54561
- task:
name: Translation spa-eng
type: translation
args: spa-eng
dataset:
name: ntrex128
type: ntrex128
args: spa-eng
metrics:
- name: BLEU
type: bleu
value: 37.3
- name: chr-F
type: chrf
value: 0.64305
- task:
name: Translation spa-nld
type: translation
args: spa-nld
dataset:
name: ntrex128
type: ntrex128
args: spa-nld
metrics:
- name: BLEU
type: bleu
value: 27.8
- name: chr-F
type: chrf
value: 0.56397
- task:
name: Translation deu-afr
type: translation
args: deu-afr
dataset:
name: tatoeba-test-v2021-08-07
type: tatoeba_mt
args: deu-afr
metrics:
- name: BLEU
type: bleu
value: 56.7
- name: chr-F
type: chrf
value: 0.72039
- 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: 33.7
- name: chr-F
type: chrf
value: 0.59545
- 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: 48.6
- name: chr-F
type: chrf
value: 0.66015
- task:
name: Translation deu-ltz
type: translation
args: deu-ltz
dataset:
name: tatoeba-test-v2021-08-07
type: tatoeba_mt
args: deu-ltz
metrics:
- name: BLEU
type: bleu
value: 34.2
- name: chr-F
type: chrf
value: 0.5376
- task:
name: Translation deu-nds
type: translation
args: deu-nds
dataset:
name: tatoeba-test-v2021-08-07
type: tatoeba_mt
args: deu-nds
metrics:
- name: BLEU
type: bleu
value: 20.1
- name: chr-F
type: chrf
value: 0.44534
- task:
name: Translation deu-nld
type: translation
args: deu-nld
dataset:
name: tatoeba-test-v2021-08-07
type: tatoeba_mt
args: deu-nld
metrics:
- name: BLEU
type: bleu
value: 54.4
- name: chr-F
type: chrf
value: 0.71276
- task:
name: Translation eng-afr
type: translation
args: eng-afr
dataset:
name: tatoeba-test-v2021-08-07
type: tatoeba_mt
args: eng-afr
metrics:
- name: BLEU
type: bleu
value: 56.6
- name: chr-F
type: chrf
value: 0.72087
- 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: 41.4
- name: chr-F
type: chrf
value: 0.62971
- 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: 58
- name: chr-F
type: chrf
value: 0.80306
- task:
name: Translation eng-ltz
type: translation
args: eng-ltz
dataset:
name: tatoeba-test-v2021-08-07
type: tatoeba_mt
args: eng-ltz
metrics:
- name: BLEU
type: bleu
value: 45.8
- name: chr-F
type: chrf
value: 0.64423
- task:
name: Translation eng-nds
type: translation
args: eng-nds
dataset:
name: tatoeba-test-v2021-08-07
type: tatoeba_mt
args: eng-nds
metrics:
- name: BLEU
type: bleu
value: 22.2
- name: chr-F
type: chrf
value: 0.46446
- task:
name: Translation eng-nld
type: translation
args: eng-nld
dataset:
name: tatoeba-test-v2021-08-07
type: tatoeba_mt
args: eng-nld
metrics:
- name: BLEU
type: bleu
value: 54.5
- name: chr-F
type: chrf
value: 0.7119
- task:
name: Translation fra-deu
type: translation
args: fra-deu
dataset:
name: tatoeba-test-v2021-08-07
type: tatoeba_mt
args: fra-deu
metrics:
- name: BLEU
type: bleu
value: 50.3
- name: chr-F
type: chrf
value: 0.68991
- task:
name: Translation fra-eng
type: translation
args: fra-eng
dataset:
name: tatoeba-test-v2021-08-07
type: tatoeba_mt
args: fra-eng
metrics:
- name: BLEU
type: bleu
value: 58
- name: chr-F
type: chrf
value: 0.72564
- task:
name: Translation fra-nld
type: translation
args: fra-nld
dataset:
name: tatoeba-test-v2021-08-07
type: tatoeba_mt
args: fra-nld
metrics:
- name: BLEU
type: bleu
value: 48.7
- name: chr-F
type: chrf
value: 0.67078
- 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: 48.7
- name: chr-F
type: chrf
value: 0.67078
- task:
name: Translation por-deu
type: translation
args: por-deu
dataset:
name: tatoeba-test-v2021-08-07
type: tatoeba_mt
args: por-deu
metrics:
- name: BLEU
type: bleu
value: 48.7
- name: chr-F
type: chrf
value: 0.68437
- task:
name: Translation por-eng
type: translation
args: por-eng
dataset:
name: tatoeba-test-v2021-08-07
type: tatoeba_mt
args: por-eng
metrics:
- name: BLEU
type: bleu
value: 64.3
- name: chr-F
type: chrf
value: 0.77081
- task:
name: Translation por-nds
type: translation
args: por-nds
dataset:
name: tatoeba-test-v2021-08-07
type: tatoeba_mt
args: por-nds
metrics:
- name: BLEU
type: bleu
value: 20.7
- name: chr-F
type: chrf
value: 0.45864
- task:
name: Translation por-nld
type: translation
args: por-nld
dataset:
name: tatoeba-test-v2021-08-07
type: tatoeba_mt
args: por-nld
metrics:
- name: BLEU
type: bleu
value: 52.8
- name: chr-F
type: chrf
value: 0.69865
- task:
name: Translation spa-afr
type: translation
args: spa-afr
dataset:
name: tatoeba-test-v2021-08-07
type: tatoeba_mt
args: spa-afr
metrics:
- name: BLEU
type: bleu
value: 63.3
- name: chr-F
type: chrf
value: 0.77148
- task:
name: Translation spa-deu
type: translation
args: spa-deu
dataset:
name: tatoeba-test-v2021-08-07
type: tatoeba_mt
args: spa-deu
metrics:
- name: BLEU
type: bleu
value: 49.1
- name: chr-F
type: chrf
value: 0.68037
- task:
name: Translation spa-eng
type: translation
args: spa-eng
dataset:
name: tatoeba-test-v2021-08-07
type: tatoeba_mt
args: spa-eng
metrics:
- name: BLEU
type: bleu
value: 60.2
- name: chr-F
type: chrf
value: 0.74575
- task:
name: Translation spa-nld
type: translation
args: spa-nld
dataset:
name: tatoeba-test-v2021-08-07
type: tatoeba_mt
args: spa-nld
metrics:
- name: BLEU
type: bleu
value: 51.1
- name: chr-F
type: chrf
value: 0.68988
- task:
name: Translation fra-eng
type: translation
args: fra-eng
dataset:
name: tico19-test
type: tico19-test
args: fra-eng
metrics:
- name: BLEU
type: bleu
value: 39.2
- name: chr-F
type: chrf
value: 0.62059
- task:
name: Translation por-eng
type: translation
args: por-eng
dataset:
name: tico19-test
type: tico19-test
args: por-eng
metrics:
- name: BLEU
type: bleu
value: 50.3
- name: chr-F
type: chrf
value: 0.73896
- task:
name: Translation spa-eng
type: translation
args: spa-eng
dataset:
name: tico19-test
type: tico19-test
args: spa-eng
metrics:
- name: BLEU
type: bleu
value: 49.6
- name: chr-F
type: chrf
value: 0.72923
- 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: 26.9
- name: chr-F
type: chrf
value: 0.54506
- 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: 23.1
- name: chr-F
type: chrf
value: 0.53077
- task:
name: Translation fra-deu
type: translation
args: fra-deu
dataset:
name: newstest2008
type: wmt-2008-news
args: fra-deu
metrics:
- name: BLEU
type: bleu
value: 22.9
- name: chr-F
type: chrf
value: 0.53204
- task:
name: Translation fra-eng
type: translation
args: fra-eng
dataset:
name: newstest2008
type: wmt-2008-news
args: fra-eng
metrics:
- name: BLEU
type: bleu
value: 26.4
- name: chr-F
type: chrf
value: 0.5432
- task:
name: Translation spa-deu
type: translation
args: spa-deu
dataset:
name: newstest2008
type: wmt-2008-news
args: spa-deu
metrics:
- name: BLEU
type: bleu
value: 21.6
- name: chr-F
type: chrf
value: 0.52066
- task:
name: Translation spa-eng
type: translation
args: spa-eng
dataset:
name: newstest2008
type: wmt-2008-news
args: spa-eng
metrics:
- name: BLEU
type: bleu
value: 27.9
- name: chr-F
type: chrf
value: 0.55305
- 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: 26.2
- name: chr-F
type: chrf
value: 0.53773
- 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: 22.3
- name: chr-F
type: chrf
value: 0.53217
- task:
name: Translation fra-deu
type: translation
args: fra-deu
dataset:
name: newstest2009
type: wmt-2009-news
args: fra-deu
metrics:
- name: BLEU
type: bleu
value: 22.9
- name: chr-F
type: chrf
value: 0.52995
- task:
name: Translation fra-eng
type: translation
args: fra-eng
dataset:
name: newstest2009
type: wmt-2009-news
args: fra-eng
metrics:
- name: BLEU
type: bleu
value: 30
- name: chr-F
type: chrf
value: 0.56663
- task:
name: Translation spa-deu
type: translation
args: spa-deu
dataset:
name: newstest2009
type: wmt-2009-news
args: spa-deu
metrics:
- name: BLEU
type: bleu
value: 22.1
- name: chr-F
type: chrf
value: 0.52586
- task:
name: Translation spa-eng
type: translation
args: spa-eng
dataset:
name: newstest2009
type: wmt-2009-news
args: spa-eng
metrics:
- name: BLEU
type: bleu
value: 29.9
- name: chr-F
type: chrf
value: 0.56756
- 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: 30.4
- name: chr-F
type: chrf
value: 0.58365
- 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: 25.7
- name: chr-F
type: chrf
value: 0.54917
- task:
name: Translation fra-deu
type: translation
args: fra-deu
dataset:
name: newstest2010
type: wmt-2010-news
args: fra-deu
metrics:
- name: BLEU
type: bleu
value: 24.3
- name: chr-F
type: chrf
value: 0.53904
- task:
name: Translation fra-eng
type: translation
args: fra-eng
dataset:
name: newstest2010
type: wmt-2010-news
args: fra-eng
metrics:
- name: BLEU
type: bleu
value: 32.4
- name: chr-F
type: chrf
value: 0.59241
- task:
name: Translation spa-deu
type: translation
args: spa-deu
dataset:
name: newstest2010
type: wmt-2010-news
args: spa-deu
metrics:
- name: BLEU
type: bleu
value: 26.2
- name: chr-F
type: chrf
value: 0.55378
- task:
name: Translation spa-eng
type: translation
args: spa-eng
dataset:
name: newstest2010
type: wmt-2010-news
args: spa-eng
metrics:
- name: BLEU
type: bleu
value: 35.8
- name: chr-F
type: chrf
value: 0.61316
- 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: 26.1
- name: chr-F
type: chrf
value: 0.54907
- 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: 23
- name: chr-F
type: chrf
value: 0.52873
- task:
name: Translation fra-deu
type: translation
args: fra-deu
dataset:
name: newstest2011
type: wmt-2011-news
args: fra-deu
metrics:
- name: BLEU
type: bleu
value: 23
- name: chr-F
type: chrf
value: 0.52977
- task:
name: Translation fra-eng
type: translation
args: fra-eng
dataset:
name: newstest2011
type: wmt-2011-news
args: fra-eng
metrics:
- name: BLEU
type: bleu
value: 32.8
- name: chr-F
type: chrf
value: 0.59565
- task:
name: Translation spa-deu
type: translation
args: spa-deu
dataset:
name: newstest2011
type: wmt-2011-news
args: spa-deu
metrics:
- name: BLEU
type: bleu
value: 23.4
- name: chr-F
type: chrf
value: 0.53095
- task:
name: Translation spa-eng
type: translation
args: spa-eng
dataset:
name: newstest2011
type: wmt-2011-news
args: spa-eng
metrics:
- name: BLEU
type: bleu
value: 33.3
- name: chr-F
type: chrf
value: 0.59513
- 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: 28.1
- name: chr-F
type: chrf
value: 0.5623
- 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: 23.7
- name: chr-F
type: chrf
value: 0.52871
- task:
name: Translation fra-deu
type: translation
args: fra-deu
dataset:
name: newstest2012
type: wmt-2012-news
args: fra-deu
metrics:
- name: BLEU
type: bleu
value: 24.1
- name: chr-F
type: chrf
value: 0.53035
- task:
name: Translation fra-eng
type: translation
args: fra-eng
dataset:
name: newstest2012
type: wmt-2012-news
args: fra-eng
metrics:
- name: BLEU
type: bleu
value: 33
- name: chr-F
type: chrf
value: 0.59137
- task:
name: Translation spa-deu
type: translation
args: spa-deu
dataset:
name: newstest2012
type: wmt-2012-news
args: spa-deu
metrics:
- name: BLEU
type: bleu
value: 24.3
- name: chr-F
type: chrf
value: 0.53438
- task:
name: Translation spa-eng
type: translation
args: spa-eng
dataset:
name: newstest2012
type: wmt-2012-news
args: spa-eng
metrics:
- name: BLEU
type: bleu
value: 37
- name: chr-F
type: chrf
value: 0.62058
- 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: 31.5
- name: chr-F
type: chrf
value: 0.5794
- 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: 27.5
- name: chr-F
type: chrf
value: 0.55718
- task:
name: Translation fra-deu
type: translation
args: fra-deu
dataset:
name: newstest2013
type: wmt-2013-news
args: fra-deu
metrics:
- name: BLEU
type: bleu
value: 25.6
- name: chr-F
type: chrf
value: 0.54408
- task:
name: Translation fra-eng
type: translation
args: fra-eng
dataset:
name: newstest2013
type: wmt-2013-news
args: fra-eng
metrics:
- name: BLEU
type: bleu
value: 33.9
- name: chr-F
type: chrf
value: 0.59151
- task:
name: Translation spa-deu
type: translation
args: spa-deu
dataset:
name: newstest2013
type: wmt-2013-news
args: spa-deu
metrics:
- name: BLEU
type: bleu
value: 26.2
- name: chr-F
type: chrf
value: 0.55215
- task:
name: Translation spa-eng
type: translation
args: spa-eng
dataset:
name: newstest2013
type: wmt-2013-news
args: spa-eng
metrics:
- name: BLEU
type: bleu
value: 34.4
- name: chr-F
type: chrf
value: 0.60465
- 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: 33.1
- name: chr-F
type: chrf
value: 0.59723
- 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: 28.5
- name: chr-F
type: chrf
value: 0.59127
- task:
name: Translation fra-eng
type: translation
args: fra-eng
dataset:
name: newstest2014
type: wmt-2014-news
args: fra-eng
metrics:
- name: BLEU
type: bleu
value: 38
- name: chr-F
type: chrf
value: 0.63411
- 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: 33.7
- name: chr-F
type: chrf
value: 0.59799
- 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: 32
- name: chr-F
type: chrf
value: 0.59977
- 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: 40.4
- name: chr-F
type: chrf
value: 0.65039
- 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: 37.9
- name: chr-F
type: chrf
value: 0.64144
- 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: 35.3
- name: chr-F
type: chrf
value: 0.60921
- 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: 30.4
- name: chr-F
type: chrf
value: 0.59114
- 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: 42.6
- name: chr-F
type: chrf
value: 0.6668
- 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: 45.8
- name: chr-F
type: chrf
value: 0.69428
- 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: 39.1
- name: chr-F
type: chrf
value: 0.63482
- 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: 42
- name: chr-F
type: chrf
value: 0.6643
- task:
name: Translation fra-deu
type: translation
args: fra-deu
dataset:
name: newstest2019
type: wmt-2019-news
args: fra-deu
metrics:
- name: BLEU
type: bleu
value: 29.4
- name: chr-F
type: chrf
value: 0.60993
- 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
- name: chr-F
type: chrf
value: 0.60403
- 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: 32.3
- name: chr-F
type: chrf
value: 0.60255
- task:
name: Translation fra-deu
type: translation
args: fra-deu
dataset:
name: newstest2020
type: wmt-2020-news
args: fra-deu
metrics:
- name: BLEU
type: bleu
value: 29.2
- name: chr-F
type: chrf
value: 0.6147
- 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: 0.59738
- 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: 26.1
- name: chr-F
type: chrf
value: 0.56399
- task:
name: Translation fra-deu
type: translation
args: fra-deu
dataset:
name: newstest2021
type: wmt-2021-news
args: fra-deu
metrics:
- name: BLEU
type: bleu
value: 40
- name: chr-F
type: chrf
value: 0.66155
opus-mt-tc-bible-big-deu_eng_fra_por_spa-gmw
Table of Contents
- Model Details
- Uses
- Risks, Limitations and Biases
- How to Get Started With the Model
- Training
- Evaluation
- Citation Information
- Acknowledgements
Model Details
Neural machine translation model for translating from unknown (deu+eng+fra+por+spa) to West Germanic languages (gmw).
This model is part of the OPUS-MT project, 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, 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 and training pipelines use the procedures of 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): deu eng fra por spa
- Target 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
- Valid Target Language Labels: >>act<< >>afr<< >>afs<< >>aig<< >>ang<< >>ang_Latn<< >>bah<< >>bar<< >>bis<< >>bjs<< >>brc<< >>bzj<< >>bzk<< >>cim<< >>dcr<< >>deu<< >>djk<< >>djk_Latn<< >>drt<< >>drt_Latn<< >>dum<< >>eng<< >>enm<< >>enm_Latn<< >>fpe<< >>frk<< >>frr<< >>fry<< >>gcl<< >>gct<< >>geh<< >>gmh<< >>gml<< >>goh<< >>gos<< >>gpe<< >>gsw<< >>gul<< >>gyn<< >>hrx<< >>hrx_Latn<< >>hwc<< >>icr<< >>jam<< >>jvd<< >>kri<< >>ksh<< >>kww<< >>lim<< >>lng<< >>ltz<< >>mhn<< >>nds<< >>nld<< >>odt<< >>ofs<< >>ofs_Latn<< >>oor<< >>osx<< >>pcm<< >>pdc<< >>pdt<< >>pey<< >>pfl<< >>pih<< >>pih_Latn<< >>pis<< >>rop<< >>sco<< >>sdz<< >>skw<< >>sli<< >>srm<< >>srn<< >>stl<< >>stq<< >>svc<< >>swg<< >>sxu<< >>tch<< >>tcs<< >>tgh<< >>tpi<< >>trf<< >>twd<< >>uln<< >>vel<< >>vic<< >>vls<< >>vmf<< >>wae<< >>wep<< >>wes<< >>wym<< >>xxx<< >>yec<< >>yid<< >>zea<<
- Original Model: opusTCv20230926max50+bt+jhubc_transformer-big_2024-05-30.zip
- Resources for more information:
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. >>afr<<
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) and Bender et al. (2021)).
How to Get Started With the Model
A short example code:
from transformers import MarianMTModel, MarianTokenizer
src_text = [
">>afr<< Replace this with text in an accepted source language.",
">>zea<< This is the second sentence."
]
model_name = "pytorch-models/opus-mt-tc-bible-big-deu_eng_fra_por_spa-gmw"
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:
from transformers import pipeline
pipe = pipeline("translation", model="Helsinki-NLP/opus-mt-tc-bible-big-deu_eng_fra_por_spa-gmw")
print(pipe(">>afr<< Replace this with text in an accepted source language."))
Training
- Data: opusTCv20230926max50+bt+jhubc (source)
- Pre-processing: SentencePiece (spm32k,spm32k)
- Model Type: transformer-big
- Original MarianNMT Model: opusTCv20230926max50+bt+jhubc_transformer-big_2024-05-30.zip
- Training Scripts: GitHub Repo
Evaluation
- Model scores at the OPUS-MT dashboard
- test set translations: opusTCv20230926max50+bt+jhubc_transformer-big_2024-05-29.test.txt
- test set scores: opusTCv20230926max50+bt+jhubc_transformer-big_2024-05-29.eval.txt
- benchmark results: benchmark_results.txt
- benchmark output: benchmark_translations.zip
| langpair | testset | chr-F | BLEU | #sent | #words |
|---|---|---|---|---|---|
| deu-afr | tatoeba-test-v2021-08-07 | 0.72039 | 56.7 | 1583 | 9507 |
| deu-deu | tatoeba-test-v2021-08-07 | 0.59545 | 33.7 | 2500 | 20806 |
| deu-eng | tatoeba-test-v2021-08-07 | 0.66015 | 48.6 | 17565 | 149462 |
| deu-ltz | tatoeba-test-v2021-08-07 | 0.53760 | 34.2 | 347 | 2206 |
| deu-nds | tatoeba-test-v2021-08-07 | 0.44534 | 20.1 | 9999 | 76137 |
| deu-nld | tatoeba-test-v2021-08-07 | 0.71276 | 54.4 | 10218 | 75235 |
| eng-afr | tatoeba-test-v2021-08-07 | 0.72087 | 56.6 | 1374 | 10317 |
| eng-deu | tatoeba-test-v2021-08-07 | 0.62971 | 41.4 | 17565 | 151568 |
| eng-eng | tatoeba-test-v2021-08-07 | 0.80306 | 58.0 | 12062 | 115106 |
| eng-fry | tatoeba-test-v2021-08-07 | 0.40324 | 13.8 | 220 | 1600 |
| eng-ltz | tatoeba-test-v2021-08-07 | 0.64423 | 45.8 | 293 | 1828 |
| eng-nds | tatoeba-test-v2021-08-07 | 0.46446 | 22.2 | 2500 | 18264 |
| eng-nld | tatoeba-test-v2021-08-07 | 0.71190 | 54.5 | 12696 | 91796 |
| fra-deu | tatoeba-test-v2021-08-07 | 0.68991 | 50.3 | 12418 | 100545 |
| fra-eng | tatoeba-test-v2021-08-07 | 0.72564 | 58.0 | 12681 | 101754 |
| fra-nld | tatoeba-test-v2021-08-07 | 0.67078 | 48.7 | 11548 | 82164 |
| por-deu | tatoeba-test-v2021-08-07 | 0.68437 | 48.7 | 10000 | 81246 |
| por-eng | tatoeba-test-v2021-08-07 | 0.77081 | 64.3 | 13222 | 105351 |
| por-nds | tatoeba-test-v2021-08-07 | 0.45864 | 20.7 | 207 | 1292 |
| por-nld | tatoeba-test-v2021-08-07 | 0.69865 | 52.8 | 2500 | 17816 |
| spa-afr | tatoeba-test-v2021-08-07 | 0.77148 | 63.3 | 448 | 3044 |
| spa-deu | tatoeba-test-v2021-08-07 | 0.68037 | 49.1 | 10521 | 86430 |
| spa-eng | tatoeba-test-v2021-08-07 | 0.74575 | 60.2 | 16583 | 138123 |
| spa-nds | tatoeba-test-v2021-08-07 | 0.43154 | 18.5 | 923 | 5941 |
| spa-nld | tatoeba-test-v2021-08-07 | 0.68988 | 51.1 | 10113 | 79162 |
| deu-afr | flores101-devtest | 0.57287 | 26.0 | 1012 | 25740 |
| deu-eng | flores101-devtest | 0.66660 | 40.9 | 1012 | 24721 |
| deu-nld | flores101-devtest | 0.55423 | 23.6 | 1012 | 25467 |
| eng-afr | flores101-devtest | 0.67793 | 40.0 | 1012 | 25740 |
| eng-deu | flores101-devtest | 0.64295 | 37.2 | 1012 | 25094 |
| eng-nld | flores101-devtest | 0.57690 | 26.2 | 1012 | 25467 |
| fra-ltz | flores101-devtest | 0.49430 | 17.3 | 1012 | 25087 |
| fra-nld | flores101-devtest | 0.54318 | 22.2 | 1012 | 25467 |
| por-deu | flores101-devtest | 0.58851 | 29.8 | 1012 | 25094 |
| por-nld | flores101-devtest | 0.54571 | 22.6 | 1012 | 25467 |
| spa-nld | flores101-devtest | 0.50968 | 17.5 | 1012 | 25467 |
| deu-afr | flores200-devtest | 0.57725 | 26.2 | 1012 | 25740 |
| deu-eng | flores200-devtest | 0.67043 | 41.5 | 1012 | 24721 |
| deu-ltz | flores200-devtest | 0.54626 | 21.6 | 1012 | 25087 |
| deu-nld | flores200-devtest | 0.55679 | 24.0 | 1012 | 25467 |
| eng-afr | flores200-devtest | 0.68115 | 40.2 | 1012 | 25740 |
| eng-deu | flores200-devtest | 0.64561 | 37.4 | 1012 | 25094 |
| eng-ltz | flores200-devtest | 0.54932 | 22.0 | 1012 | 25087 |
| eng-nld | flores200-devtest | 0.58124 | 26.8 | 1012 | 25467 |
| eng-tpi | flores200-devtest | 0.40338 | 15.9 | 1012 | 35240 |
| fra-afr | flores200-devtest | 0.57320 | 26.4 | 1012 | 25740 |
| fra-deu | flores200-devtest | 0.58974 | 29.5 | 1012 | 25094 |
| fra-eng | flores200-devtest | 0.68106 | 43.7 | 1012 | 24721 |
| fra-ltz | flores200-devtest | 0.49618 | 17.8 | 1012 | 25087 |
| fra-nld | flores200-devtest | 0.54623 | 22.5 | 1012 | 25467 |
| por-afr | flores200-devtest | 0.58408 | 27.6 | 1012 | 25740 |
| por-deu | flores200-devtest | 0.59121 | 30.4 | 1012 | 25094 |
| por-eng | flores200-devtest | 0.71418 | 48.3 | 1012 | 24721 |
| por-nld | flores200-devtest | 0.54828 | 22.9 | 1012 | 25467 |
| spa-afr | flores200-devtest | 0.51514 | 17.8 | 1012 | 25740 |
| spa-deu | flores200-devtest | 0.53603 | 21.4 | 1012 | 25094 |
| spa-eng | flores200-devtest | 0.58604 | 28.2 | 1012 | 24721 |
| spa-nld | flores200-devtest | 0.51244 | 17.9 | 1012 | 25467 |
| deu-eng | generaltest2022 | 0.55777 | 30.6 | 1984 | 37634 |
| eng-deu | generaltest2022 | 0.60792 | 33.0 | 2037 | 38914 |
| fra-deu | generaltest2022 | 0.67039 | 44.5 | 2006 | 37696 |
| deu-eng | multi30k_test_2016_flickr | 0.60981 | 40.1 | 1000 | 12955 |
| eng-deu | multi30k_test_2016_flickr | 0.64153 | 34.9 | 1000 | 12106 |
| fra-deu | multi30k_test_2016_flickr | 0.61781 | 32.1 | 1000 | 12106 |
| fra-eng | multi30k_test_2016_flickr | 0.66703 | 47.9 | 1000 | 12955 |
| deu-eng | multi30k_test_2017_flickr | 0.63624 | 41.0 | 1000 | 11374 |
| eng-deu | multi30k_test_2017_flickr | 0.63423 | 34.6 | 1000 | 10755 |
| fra-deu | multi30k_test_2017_flickr | 0.60084 | 29.7 | 1000 | 10755 |
| fra-eng | multi30k_test_2017_flickr | 0.69254 | 50.4 | 1000 | 11374 |
| deu-eng | multi30k_test_2017_mscoco | 0.55790 | 32.5 | 461 | 5231 |
| eng-deu | multi30k_test_2017_mscoco | 0.57491 | 28.6 | 461 | 5158 |
| fra-deu | multi30k_test_2017_mscoco | 0.56108 | 26.4 | 461 | 5158 |
| fra-eng | multi30k_test_2017_mscoco | 0.68212 | 49.1 | 461 | 5231 |
| deu-eng | multi30k_test_2018_flickr | 0.59322 | 36.6 | 1071 | 14689 |
| eng-deu | multi30k_test_2018_flickr | 0.59858 | 30.0 | 1071 | 13703 |
| fra-deu | multi30k_test_2018_flickr | 0.55667 | 24.7 | 1071 | 13703 |
| fra-eng | multi30k_test_2018_flickr | 0.64702 | 43.4 | 1071 | 14689 |
| fra-eng | newsdiscusstest2015 | 0.61399 | 38.5 | 1500 | 26982 |
| deu-eng | newssyscomb2009 | 0.55180 | 28.8 | 502 | 11818 |
| eng-deu | newssyscomb2009 | 0.53676 | 22.9 | 502 | 11271 |
| fra-deu | newssyscomb2009 | 0.53733 | 23.9 | 502 | 11271 |
| fra-eng | newssyscomb2009 | 0.57219 | 31.1 | 502 | 11818 |
| spa-deu | newssyscomb2009 | 0.53056 | 22.0 | 502 | 11271 |
| spa-eng | newssyscomb2009 | 0.57225 | 30.8 | 502 | 11818 |
| deu-eng | newstest2008 | 0.54506 | 26.9 | 2051 | 49380 |
| eng-deu | newstest2008 | 0.53077 | 23.1 | 2051 | 47447 |
| fra-deu | newstest2008 | 0.53204 | 22.9 | 2051 | 47447 |
| fra-eng | newstest2008 | 0.54320 | 26.4 | 2051 | 49380 |
| spa-deu | newstest2008 | 0.52066 | 21.6 | 2051 | 47447 |
| spa-eng | newstest2008 | 0.55305 | 27.9 | 2051 | 49380 |
| deu-eng | newstest2009 | 0.53773 | 26.2 | 2525 | 65399 |
| eng-deu | newstest2009 | 0.53217 | 22.3 | 2525 | 62816 |
| fra-deu | newstest2009 | 0.52995 | 22.9 | 2525 | 62816 |
| fra-eng | newstest2009 | 0.56663 | 30.0 | 2525 | 65399 |
| spa-deu | newstest2009 | 0.52586 | 22.1 | 2525 | 62816 |
| spa-eng | newstest2009 | 0.56756 | 29.9 | 2525 | 65399 |
| deu-eng | newstest2010 | 0.58365 | 30.4 | 2489 | 61711 |
| eng-deu | newstest2010 | 0.54917 | 25.7 | 2489 | 61503 |
| fra-deu | newstest2010 | 0.53904 | 24.3 | 2489 | 61503 |
| fra-eng | newstest2010 | 0.59241 | 32.4 | 2489 | 61711 |
| spa-deu | newstest2010 | 0.55378 | 26.2 | 2489 | 61503 |
| spa-eng | newstest2010 | 0.61316 | 35.8 | 2489 | 61711 |
| deu-eng | newstest2011 | 0.54907 | 26.1 | 3003 | 74681 |
| eng-deu | newstest2011 | 0.52873 | 23.0 | 3003 | 72981 |
| fra-deu | newstest2011 | 0.52977 | 23.0 | 3003 | 72981 |
| fra-eng | newstest2011 | 0.59565 | 32.8 | 3003 | 74681 |
| spa-deu | newstest2011 | 0.53095 | 23.4 | 3003 | 72981 |
| spa-eng | newstest2011 | 0.59513 | 33.3 | 3003 | 74681 |
| deu-eng | newstest2012 | 0.56230 | 28.1 | 3003 | 72812 |
| eng-deu | newstest2012 | 0.52871 | 23.7 | 3003 | 72886 |
| fra-deu | newstest2012 | 0.53035 | 24.1 | 3003 | 72886 |
| fra-eng | newstest2012 | 0.59137 | 33.0 | 3003 | 72812 |
| spa-deu | newstest2012 | 0.53438 | 24.3 | 3003 | 72886 |
| spa-eng | newstest2012 | 0.62058 | 37.0 | 3003 | 72812 |
| deu-eng | newstest2013 | 0.57940 | 31.5 | 3000 | 64505 |
| eng-deu | newstest2013 | 0.55718 | 27.5 | 3000 | 63737 |
| fra-deu | newstest2013 | 0.54408 | 25.6 | 3000 | 63737 |
| fra-eng | newstest2013 | 0.59151 | 33.9 | 3000 | 64505 |
| spa-deu | newstest2013 | 0.55215 | 26.2 | 3000 | 63737 |
| spa-eng | newstest2013 | 0.60465 | 34.4 | 3000 | 64505 |
| deu-eng | newstest2014 | 0.59723 | 33.1 | 3003 | 67337 |
| eng-deu | newstest2014 | 0.59127 | 28.5 | 3003 | 62688 |
| fra-eng | newstest2014 | 0.63411 | 38.0 | 3003 | 70708 |
| deu-eng | newstest2015 | 0.59799 | 33.7 | 2169 | 46443 |
| eng-deu | newstest2015 | 0.59977 | 32.0 | 2169 | 44260 |
| deu-eng | newstest2016 | 0.65039 | 40.4 | 2999 | 64119 |
| eng-deu | newstest2016 | 0.64144 | 37.9 | 2999 | 62669 |
| deu-eng | newstest2017 | 0.60921 | 35.3 | 3004 | 64399 |
| eng-deu | newstest2017 | 0.59114 | 30.4 | 3004 | 61287 |
| deu-eng | newstest2018 | 0.66680 | 42.6 | 2998 | 67012 |
| eng-deu | newstest2018 | 0.69428 | 45.8 | 2998 | 64276 |
| deu-eng | newstest2019 | 0.63482 | 39.1 | 2000 | 39227 |
| eng-deu | newstest2019 | 0.66430 | 42.0 | 1997 | 48746 |
| fra-deu | newstest2019 | 0.60993 | 29.4 | 1701 | 36446 |
| deu-eng | newstest2020 | 0.60403 | 34.0 | 785 | 38220 |
| eng-deu | newstest2020 | 0.60255 | 32.3 | 1418 | 52383 |
| fra-deu | newstest2020 | 0.61470 | 29.2 | 1619 | 30265 |
| deu-eng | newstest2021 | 0.59738 | 31.9 | 1000 | 20180 |
| eng-deu | newstest2021 | 0.56399 | 26.1 | 1002 | 27970 |
| fra-deu | newstest2021 | 0.66155 | 40.0 | 1026 | 26077 |
| deu-eng | newstestALL2020 | 0.60403 | 34.0 | 785 | 38220 |
| eng-deu | newstestALL2020 | 0.60255 | 32.3 | 1418 | 52383 |
| deu-eng | newstestB2020 | 0.60520 | 34.2 | 785 | 37696 |
| eng-deu | newstestB2020 | 0.59226 | 31.6 | 1418 | 53092 |
| deu-afr | ntrex128 | 0.57109 | 27.9 | 1997 | 50050 |
| deu-eng | ntrex128 | 0.62043 | 34.5 | 1997 | 47673 |
| deu-ltz | ntrex128 | 0.47642 | 15.4 | 1997 | 49763 |
| deu-nld | ntrex128 | 0.56777 | 27.6 | 1997 | 51884 |
| eng-afr | ntrex128 | 0.68616 | 44.1 | 1997 | 50050 |
| eng-deu | ntrex128 | 0.58743 | 30.2 | 1997 | 48761 |
| eng-ltz | ntrex128 | 0.50083 | 18.0 | 1997 | 49763 |
| eng-nld | ntrex128 | 0.61041 | 33.8 | 1997 | 51884 |
| fra-afr | ntrex128 | 0.55607 | 26.5 | 1997 | 50050 |
| fra-deu | ntrex128 | 0.53269 | 23.6 | 1997 | 48761 |
| fra-eng | ntrex128 | 0.61058 | 34.4 | 1997 | 47673 |
| fra-ltz | ntrex128 | 0.41312 | 12.0 | 1997 | 49763 |
| fra-nld | ntrex128 | 0.54615 | 25.2 | 1997 | 51884 |
| por-afr | ntrex128 | 0.58296 | 29.2 | 1997 | 50050 |
| por-deu | ntrex128 | 0.54944 | 24.7 | 1997 | 48761 |
| por-eng | ntrex128 | 0.65002 | 39.6 | 1997 | 47673 |
| por-nld | ntrex128 | 0.56384 | 28.1 | 1997 | 51884 |
| spa-afr | ntrex128 | 0.57772 | 27.7 | 1997 | 50050 |
| spa-deu | ntrex128 | 0.54561 | 24.0 | 1997 | 48761 |
| spa-eng | ntrex128 | 0.64305 | 37.3 | 1997 | 47673 |
| spa-nld | ntrex128 | 0.56397 | 27.8 | 1997 | 51884 |
| fra-eng | tico19-test | 0.62059 | 39.2 | 2100 | 56323 |
| por-eng | tico19-test | 0.73896 | 50.3 | 2100 | 56315 |
| spa-eng | tico19-test | 0.72923 | 49.6 | 2100 | 56315 |
Citation Information
- Publications: Democratizing neural machine translation with OPUS-MT and OPUS-MT – Building open translation services for the World and The Tatoeba Translation Challenge – Realistic Data Sets for Low Resource and Multilingual MT (Please, cite if you use this model.)
@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, 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, Finland, and the EuroHPC supercomputer LUMI.
Model conversion info
- transformers version: 4.45.1
- OPUS-MT git hash: 0882077
- port time: Tue Oct 8 10:01:07 EEST 2024
- port machine: LM0-400-22516.local