metadata
library_name: transformers
language:
- da
- de
- en
- es
- fo
- fr
- is
- nb
- nn
- 'no'
- non
- pt
- sv
tags:
- translation
- opus-mt-tc-bible
license: apache-2.0
model-index:
- name: opus-mt-tc-bible-big-deu_eng_fra_por_spa-gmq
results:
- task:
name: Translation deu-dan
type: translation
args: deu-dan
dataset:
name: flores200-devtest
type: flores200-devtest
args: deu-dan
metrics:
- name: BLEU
type: bleu
value: 35.1
- name: chr-F
type: chrf
value: 0.62152
- task:
name: Translation deu-fao
type: translation
args: deu-fao
dataset:
name: flores200-devtest
type: flores200-devtest
args: deu-fao
metrics:
- name: BLEU
type: bleu
value: 11.5
- name: chr-F
type: chrf
value: 0.33611
- task:
name: Translation deu-isl
type: translation
args: deu-isl
dataset:
name: flores200-devtest
type: flores200-devtest
args: deu-isl
metrics:
- name: BLEU
type: bleu
value: 19.1
- name: chr-F
type: chrf
value: 0.48648
- task:
name: Translation deu-nno
type: translation
args: deu-nno
dataset:
name: flores200-devtest
type: flores200-devtest
args: deu-nno
metrics:
- name: BLEU
type: bleu
value: 24
- name: chr-F
type: chrf
value: 0.5353
- task:
name: Translation deu-nob
type: translation
args: deu-nob
dataset:
name: flores200-devtest
type: flores200-devtest
args: deu-nob
metrics:
- name: BLEU
type: bleu
value: 25.1
- name: chr-F
type: chrf
value: 0.55748
- task:
name: Translation deu-swe
type: translation
args: deu-swe
dataset:
name: flores200-devtest
type: flores200-devtest
args: deu-swe
metrics:
- name: BLEU
type: bleu
value: 34.2
- name: chr-F
type: chrf
value: 0.62138
- task:
name: Translation eng-dan
type: translation
args: eng-dan
dataset:
name: flores200-devtest
type: flores200-devtest
args: eng-dan
metrics:
- name: BLEU
type: bleu
value: 47
- name: chr-F
type: chrf
value: 0.70321
- task:
name: Translation eng-fao
type: translation
args: eng-fao
dataset:
name: flores200-devtest
type: flores200-devtest
args: eng-fao
metrics:
- name: BLEU
type: bleu
value: 14.1
- name: chr-F
type: chrf
value: 0.35857
- task:
name: Translation eng-isl
type: translation
args: eng-isl
dataset:
name: flores200-devtest
type: flores200-devtest
args: eng-isl
metrics:
- name: BLEU
type: bleu
value: 24.4
- name: chr-F
type: chrf
value: 0.52585
- task:
name: Translation eng-nno
type: translation
args: eng-nno
dataset:
name: flores200-devtest
type: flores200-devtest
args: eng-nno
metrics:
- name: BLEU
type: bleu
value: 33.8
- name: chr-F
type: chrf
value: 0.61372
- task:
name: Translation eng-nob
type: translation
args: eng-nob
dataset:
name: flores200-devtest
type: flores200-devtest
args: eng-nob
metrics:
- name: BLEU
type: bleu
value: 34.4
- name: chr-F
type: chrf
value: 0.62508
- task:
name: Translation eng-swe
type: translation
args: eng-swe
dataset:
name: flores200-devtest
type: flores200-devtest
args: eng-swe
metrics:
- name: BLEU
type: bleu
value: 46
- name: chr-F
type: chrf
value: 0.69703
- task:
name: Translation fra-dan
type: translation
args: fra-dan
dataset:
name: flores200-devtest
type: flores200-devtest
args: fra-dan
metrics:
- name: BLEU
type: bleu
value: 34.1
- name: chr-F
type: chrf
value: 0.61025
- task:
name: Translation fra-isl
type: translation
args: fra-isl
dataset:
name: flores200-devtest
type: flores200-devtest
args: fra-isl
metrics:
- name: BLEU
type: bleu
value: 18.8
- name: chr-F
type: chrf
value: 0.48273
- task:
name: Translation fra-nno
type: translation
args: fra-nno
dataset:
name: flores200-devtest
type: flores200-devtest
args: fra-nno
metrics:
- name: BLEU
type: bleu
value: 24.3
- name: chr-F
type: chrf
value: 0.53032
- task:
name: Translation fra-nob
type: translation
args: fra-nob
dataset:
name: flores200-devtest
type: flores200-devtest
args: fra-nob
metrics:
- name: BLEU
type: bleu
value: 25
- name: chr-F
type: chrf
value: 0.54933
- task:
name: Translation fra-swe
type: translation
args: fra-swe
dataset:
name: flores200-devtest
type: flores200-devtest
args: fra-swe
metrics:
- name: BLEU
type: bleu
value: 32.8
- name: chr-F
type: chrf
value: 0.60612
- task:
name: Translation por-dan
type: translation
args: por-dan
dataset:
name: flores200-devtest
type: flores200-devtest
args: por-dan
metrics:
- name: BLEU
type: bleu
value: 36.2
- name: chr-F
type: chrf
value: 0.62221
- task:
name: Translation por-fao
type: translation
args: por-fao
dataset:
name: flores200-devtest
type: flores200-devtest
args: por-fao
metrics:
- name: BLEU
type: bleu
value: 11.5
- name: chr-F
type: chrf
value: 0.33159
- task:
name: Translation por-isl
type: translation
args: por-isl
dataset:
name: flores200-devtest
type: flores200-devtest
args: por-isl
metrics:
- name: BLEU
type: bleu
value: 19.6
- name: chr-F
type: chrf
value: 0.48357
- task:
name: Translation por-nno
type: translation
args: por-nno
dataset:
name: flores200-devtest
type: flores200-devtest
args: por-nno
metrics:
- name: BLEU
type: bleu
value: 26.3
- name: chr-F
type: chrf
value: 0.54369
- task:
name: Translation por-nob
type: translation
args: por-nob
dataset:
name: flores200-devtest
type: flores200-devtest
args: por-nob
metrics:
- name: BLEU
type: bleu
value: 26.4
- name: chr-F
type: chrf
value: 0.56054
- task:
name: Translation por-swe
type: translation
args: por-swe
dataset:
name: flores200-devtest
type: flores200-devtest
args: por-swe
metrics:
- name: BLEU
type: bleu
value: 34.1
- name: chr-F
type: chrf
value: 0.61388
- task:
name: Translation spa-dan
type: translation
args: spa-dan
dataset:
name: flores200-devtest
type: flores200-devtest
args: spa-dan
metrics:
- name: BLEU
type: bleu
value: 24.7
- name: chr-F
type: chrf
value: 0.55091
- task:
name: Translation spa-isl
type: translation
args: spa-isl
dataset:
name: flores200-devtest
type: flores200-devtest
args: spa-isl
metrics:
- name: BLEU
type: bleu
value: 14.2
- name: chr-F
type: chrf
value: 0.44469
- task:
name: Translation spa-nno
type: translation
args: spa-nno
dataset:
name: flores200-devtest
type: flores200-devtest
args: spa-nno
metrics:
- name: BLEU
type: bleu
value: 18.6
- name: chr-F
type: chrf
value: 0.48898
- task:
name: Translation spa-nob
type: translation
args: spa-nob
dataset:
name: flores200-devtest
type: flores200-devtest
args: spa-nob
metrics:
- name: BLEU
type: bleu
value: 18.8
- name: chr-F
type: chrf
value: 0.50901
- task:
name: Translation spa-swe
type: translation
args: spa-swe
dataset:
name: flores200-devtest
type: flores200-devtest
args: spa-swe
metrics:
- name: BLEU
type: bleu
value: 22.7
- name: chr-F
type: chrf
value: 0.54182
- task:
name: Translation deu-dan
type: translation
args: deu-dan
dataset:
name: flores101-devtest
type: flores_101
args: deu dan devtest
metrics:
- name: BLEU
type: bleu
value: 34.8
- name: chr-F
type: chrf
value: 0.62006
- task:
name: Translation deu-isl
type: translation
args: deu-isl
dataset:
name: flores101-devtest
type: flores_101
args: deu isl devtest
metrics:
- name: BLEU
type: bleu
value: 18.8
- name: chr-F
type: chrf
value: 0.48236
- task:
name: Translation deu-swe
type: translation
args: deu-swe
dataset:
name: flores101-devtest
type: flores_101
args: deu swe devtest
metrics:
- name: BLEU
type: bleu
value: 33.7
- name: chr-F
type: chrf
value: 0.61778
- task:
name: Translation eng-swe
type: translation
args: eng-swe
dataset:
name: flores101-devtest
type: flores_101
args: eng swe devtest
metrics:
- name: BLEU
type: bleu
value: 45.5
- name: chr-F
type: chrf
value: 0.69435
- task:
name: Translation fra-dan
type: translation
args: fra-dan
dataset:
name: flores101-devtest
type: flores_101
args: fra dan devtest
metrics:
- name: BLEU
type: bleu
value: 34
- name: chr-F
type: chrf
value: 0.61019
- task:
name: Translation fra-isl
type: translation
args: fra-isl
dataset:
name: flores101-devtest
type: flores_101
args: fra isl devtest
metrics:
- name: BLEU
type: bleu
value: 18.1
- name: chr-F
type: chrf
value: 0.47647
- task:
name: Translation fra-swe
type: translation
args: fra-swe
dataset:
name: flores101-devtest
type: flores_101
args: fra swe devtest
metrics:
- name: BLEU
type: bleu
value: 32.2
- name: chr-F
type: chrf
value: 0.60354
- task:
name: Translation por-isl
type: translation
args: por-isl
dataset:
name: flores101-devtest
type: flores_101
args: por isl devtest
metrics:
- name: BLEU
type: bleu
value: 19.1
- name: chr-F
type: chrf
value: 0.47937
- task:
name: Translation por-swe
type: translation
args: por-swe
dataset:
name: flores101-devtest
type: flores_101
args: por swe devtest
metrics:
- name: BLEU
type: bleu
value: 33.1
- name: chr-F
type: chrf
value: 0.60857
- task:
name: Translation spa-dan
type: translation
args: spa-dan
dataset:
name: flores101-devtest
type: flores_101
args: spa dan devtest
metrics:
- name: BLEU
type: bleu
value: 24.4
- name: chr-F
type: chrf
value: 0.5489
- task:
name: Translation spa-nob
type: translation
args: spa-nob
dataset:
name: flores101-devtest
type: flores_101
args: spa nob devtest
metrics:
- name: BLEU
type: bleu
value: 18.3
- name: chr-F
type: chrf
value: 0.5061
- task:
name: Translation spa-swe
type: translation
args: spa-swe
dataset:
name: flores101-devtest
type: flores_101
args: spa swe devtest
metrics:
- name: BLEU
type: bleu
value: 22.4
- name: chr-F
type: chrf
value: 0.54011
- task:
name: Translation deu-dan
type: translation
args: deu-dan
dataset:
name: ntrex128
type: ntrex128
args: deu-dan
metrics:
- name: BLEU
type: bleu
value: 29.1
- name: chr-F
type: chrf
value: 0.56412
- task:
name: Translation deu-fao
type: translation
args: deu-fao
dataset:
name: ntrex128
type: ntrex128
args: deu-fao
metrics:
- name: BLEU
type: bleu
value: 12.5
- name: chr-F
type: chrf
value: 0.35495
- task:
name: Translation deu-isl
type: translation
args: deu-isl
dataset:
name: ntrex128
type: ntrex128
args: deu-isl
metrics:
- name: BLEU
type: bleu
value: 18.8
- name: chr-F
type: chrf
value: 0.48309
- task:
name: Translation deu-nno
type: translation
args: deu-nno
dataset:
name: ntrex128
type: ntrex128
args: deu-nno
metrics:
- name: BLEU
type: bleu
value: 22
- name: chr-F
type: chrf
value: 0.51535
- task:
name: Translation deu-nob
type: translation
args: deu-nob
dataset:
name: ntrex128
type: ntrex128
args: deu-nob
metrics:
- name: BLEU
type: bleu
value: 27.6
- name: chr-F
type: chrf
value: 0.56152
- task:
name: Translation deu-swe
type: translation
args: deu-swe
dataset:
name: ntrex128
type: ntrex128
args: deu-swe
metrics:
- name: BLEU
type: bleu
value: 29.6
- name: chr-F
type: chrf
value: 0.58061
- task:
name: Translation eng-dan
type: translation
args: eng-dan
dataset:
name: ntrex128
type: ntrex128
args: eng-dan
metrics:
- name: BLEU
type: bleu
value: 37.6
- name: chr-F
type: chrf
value: 0.61894
- task:
name: Translation eng-fao
type: translation
args: eng-fao
dataset:
name: ntrex128
type: ntrex128
args: eng-fao
metrics:
- name: BLEU
type: bleu
value: 15.9
- name: chr-F
type: chrf
value: 0.3841
- task:
name: Translation eng-isl
type: translation
args: eng-isl
dataset:
name: ntrex128
type: ntrex128
args: eng-isl
metrics:
- name: BLEU
type: bleu
value: 23.9
- name: chr-F
type: chrf
value: 0.52027
- task:
name: Translation eng-nno
type: translation
args: eng-nno
dataset:
name: ntrex128
type: ntrex128
args: eng-nno
metrics:
- name: BLEU
type: bleu
value: 34
- name: chr-F
type: chrf
value: 0.60754
- task:
name: Translation eng-nob
type: translation
args: eng-nob
dataset:
name: ntrex128
type: ntrex128
args: eng-nob
metrics:
- name: BLEU
type: bleu
value: 36.9
- name: chr-F
type: chrf
value: 0.62327
- task:
name: Translation eng-swe
type: translation
args: eng-swe
dataset:
name: ntrex128
type: ntrex128
args: eng-swe
metrics:
- name: BLEU
type: bleu
value: 41.3
- name: chr-F
type: chrf
value: 0.66129
- task:
name: Translation fra-dan
type: translation
args: fra-dan
dataset:
name: ntrex128
type: ntrex128
args: fra-dan
metrics:
- name: BLEU
type: bleu
value: 27.1
- name: chr-F
type: chrf
value: 0.54102
- task:
name: Translation fra-fao
type: translation
args: fra-fao
dataset:
name: ntrex128
type: ntrex128
args: fra-fao
metrics:
- name: BLEU
type: bleu
value: 10.8
- name: chr-F
type: chrf
value: 0.32337
- task:
name: Translation fra-isl
type: translation
args: fra-isl
dataset:
name: ntrex128
type: ntrex128
args: fra-isl
metrics:
- name: BLEU
type: bleu
value: 18.4
- name: chr-F
type: chrf
value: 0.47296
- task:
name: Translation fra-nno
type: translation
args: fra-nno
dataset:
name: ntrex128
type: ntrex128
args: fra-nno
metrics:
- name: BLEU
type: bleu
value: 21.6
- name: chr-F
type: chrf
value: 0.50532
- task:
name: Translation fra-nob
type: translation
args: fra-nob
dataset:
name: ntrex128
type: ntrex128
args: fra-nob
metrics:
- name: BLEU
type: bleu
value: 25.7
- name: chr-F
type: chrf
value: 0.54026
- task:
name: Translation fra-swe
type: translation
args: fra-swe
dataset:
name: ntrex128
type: ntrex128
args: fra-swe
metrics:
- name: BLEU
type: bleu
value: 27.9
- name: chr-F
type: chrf
value: 0.56278
- task:
name: Translation por-dan
type: translation
args: por-dan
dataset:
name: ntrex128
type: ntrex128
args: por-dan
metrics:
- name: BLEU
type: bleu
value: 30
- name: chr-F
type: chrf
value: 0.56288
- task:
name: Translation por-fao
type: translation
args: por-fao
dataset:
name: ntrex128
type: ntrex128
args: por-fao
metrics:
- name: BLEU
type: bleu
value: 12.7
- name: chr-F
type: chrf
value: 0.35059
- task:
name: Translation por-isl
type: translation
args: por-isl
dataset:
name: ntrex128
type: ntrex128
args: por-isl
metrics:
- name: BLEU
type: bleu
value: 17.8
- name: chr-F
type: chrf
value: 0.47577
- task:
name: Translation por-nno
type: translation
args: por-nno
dataset:
name: ntrex128
type: ntrex128
args: por-nno
metrics:
- name: BLEU
type: bleu
value: 23
- name: chr-F
type: chrf
value: 0.52158
- task:
name: Translation por-nob
type: translation
args: por-nob
dataset:
name: ntrex128
type: ntrex128
args: por-nob
metrics:
- name: BLEU
type: bleu
value: 27.4
- name: chr-F
type: chrf
value: 0.55788
- task:
name: Translation por-swe
type: translation
args: por-swe
dataset:
name: ntrex128
type: ntrex128
args: por-swe
metrics:
- name: BLEU
type: bleu
value: 29.3
- name: chr-F
type: chrf
value: 0.5779
- task:
name: Translation spa-dan
type: translation
args: spa-dan
dataset:
name: ntrex128
type: ntrex128
args: spa-dan
metrics:
- name: BLEU
type: bleu
value: 27.5
- name: chr-F
type: chrf
value: 0.55607
- task:
name: Translation spa-fao
type: translation
args: spa-fao
dataset:
name: ntrex128
type: ntrex128
args: spa-fao
metrics:
- name: BLEU
type: bleu
value: 12.5
- name: chr-F
type: chrf
value: 0.34781
- task:
name: Translation spa-isl
type: translation
args: spa-isl
dataset:
name: ntrex128
type: ntrex128
args: spa-isl
metrics:
- name: BLEU
type: bleu
value: 18.4
- name: chr-F
type: chrf
value: 0.48566
- task:
name: Translation spa-nno
type: translation
args: spa-nno
dataset:
name: ntrex128
type: ntrex128
args: spa-nno
metrics:
- name: BLEU
type: bleu
value: 22.2
- name: chr-F
type: chrf
value: 0.51741
- task:
name: Translation spa-nob
type: translation
args: spa-nob
dataset:
name: ntrex128
type: ntrex128
args: spa-nob
metrics:
- name: BLEU
type: bleu
value: 26.8
- name: chr-F
type: chrf
value: 0.55824
- task:
name: Translation spa-swe
type: translation
args: spa-swe
dataset:
name: ntrex128
type: ntrex128
args: spa-swe
metrics:
- name: BLEU
type: bleu
value: 28.8
- name: chr-F
type: chrf
value: 0.57851
- task:
name: Translation deu-dan
type: translation
args: deu-dan
dataset:
name: tatoeba-test-v2021-08-07
type: tatoeba_mt
args: deu-dan
metrics:
- name: BLEU
type: bleu
value: 57.8
- name: chr-F
type: chrf
value: 0.74051
- task:
name: Translation deu-isl
type: translation
args: deu-isl
dataset:
name: tatoeba-test-v2021-08-07
type: tatoeba_mt
args: deu-isl
metrics:
- name: BLEU
type: bleu
value: 31.7
- name: chr-F
type: chrf
value: 0.61256
- task:
name: Translation deu-nob
type: translation
args: deu-nob
dataset:
name: tatoeba-test-v2021-08-07
type: tatoeba_mt
args: deu-nob
metrics:
- name: BLEU
type: bleu
value: 52.9
- name: chr-F
type: chrf
value: 0.71413
- task:
name: Translation deu-nor
type: translation
args: deu-nor
dataset:
name: tatoeba-test-v2021-08-07
type: tatoeba_mt
args: deu-nor
metrics:
- name: BLEU
type: bleu
value: 52.7
- name: chr-F
type: chrf
value: 0.71253
- task:
name: Translation deu-swe
type: translation
args: deu-swe
dataset:
name: tatoeba-test-v2021-08-07
type: tatoeba_mt
args: deu-swe
metrics:
- name: BLEU
type: bleu
value: 58.2
- name: chr-F
type: chrf
value: 0.7265
- task:
name: Translation eng-dan
type: translation
args: eng-dan
dataset:
name: tatoeba-test-v2021-08-07
type: tatoeba_mt
args: eng-dan
metrics:
- name: BLEU
type: bleu
value: 60.6
- name: chr-F
type: chrf
value: 0.74708
- task:
name: Translation eng-fao
type: translation
args: eng-fao
dataset:
name: tatoeba-test-v2021-08-07
type: tatoeba_mt
args: eng-fao
metrics:
- name: BLEU
type: bleu
value: 29
- name: chr-F
type: chrf
value: 0.48304
- task:
name: Translation eng-isl
type: translation
args: eng-isl
dataset:
name: tatoeba-test-v2021-08-07
type: tatoeba_mt
args: eng-isl
metrics:
- name: BLEU
type: bleu
value: 33.2
- name: chr-F
type: chrf
value: 0.58312
- task:
name: Translation eng-nno
type: translation
args: eng-nno
dataset:
name: tatoeba-test-v2021-08-07
type: tatoeba_mt
args: eng-nno
metrics:
- name: BLEU
type: bleu
value: 42.7
- name: chr-F
type: chrf
value: 0.62606
- task:
name: Translation eng-nob
type: translation
args: eng-nob
dataset:
name: tatoeba-test-v2021-08-07
type: tatoeba_mt
args: eng-nob
metrics:
- name: BLEU
type: bleu
value: 57.4
- name: chr-F
type: chrf
value: 0.7234
- task:
name: Translation eng-nor
type: translation
args: eng-nor
dataset:
name: tatoeba-test-v2021-08-07
type: tatoeba_mt
args: eng-nor
metrics:
- name: BLEU
type: bleu
value: 56.2
- name: chr-F
type: chrf
value: 0.71514
- task:
name: Translation eng-swe
type: translation
args: eng-swe
dataset:
name: tatoeba-test-v2021-08-07
type: tatoeba_mt
args: eng-swe
metrics:
- name: BLEU
type: bleu
value: 60.5
- name: chr-F
type: chrf
value: 0.7372
- task:
name: Translation fra-dan
type: translation
args: fra-dan
dataset:
name: tatoeba-test-v2021-08-07
type: tatoeba_mt
args: fra-dan
metrics:
- name: BLEU
type: bleu
value: 64.1
- name: chr-F
type: chrf
value: 0.78018
- task:
name: Translation fra-nob
type: translation
args: fra-nob
dataset:
name: tatoeba-test-v2021-08-07
type: tatoeba_mt
args: fra-nob
metrics:
- name: BLEU
type: bleu
value: 59.1
- name: chr-F
type: chrf
value: 0.74252
- task:
name: Translation fra-nor
type: translation
args: fra-nor
dataset:
name: tatoeba-test-v2021-08-07
type: tatoeba_mt
args: fra-nor
metrics:
- name: BLEU
type: bleu
value: 60.3
- name: chr-F
type: chrf
value: 0.74407
- task:
name: Translation fra-swe
type: translation
args: fra-swe
dataset:
name: tatoeba-test-v2021-08-07
type: tatoeba_mt
args: fra-swe
metrics:
- name: BLEU
type: bleu
value: 62.1
- name: chr-F
type: chrf
value: 0.75644
- 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: 56.4
- name: chr-F
type: chrf
value: 0.72858
- task:
name: Translation por-dan
type: translation
args: por-dan
dataset:
name: tatoeba-test-v2021-08-07
type: tatoeba_mt
args: por-dan
metrics:
- name: BLEU
type: bleu
value: 65.6
- name: chr-F
type: chrf
value: 0.79528
- task:
name: Translation por-nor
type: translation
args: por-nor
dataset:
name: tatoeba-test-v2021-08-07
type: tatoeba_mt
args: por-nor
metrics:
- name: BLEU
type: bleu
value: 58
- name: chr-F
type: chrf
value: 0.73559
- task:
name: Translation por-swe
type: translation
args: por-swe
dataset:
name: tatoeba-test-v2021-08-07
type: tatoeba_mt
args: por-swe
metrics:
- name: BLEU
type: bleu
value: 60.2
- name: chr-F
type: chrf
value: 0.75566
- task:
name: Translation spa-dan
type: translation
args: spa-dan
dataset:
name: tatoeba-test-v2021-08-07
type: tatoeba_mt
args: spa-dan
metrics:
- name: BLEU
type: bleu
value: 57.7
- name: chr-F
type: chrf
value: 0.7331
- task:
name: Translation spa-nob
type: translation
args: spa-nob
dataset:
name: tatoeba-test-v2021-08-07
type: tatoeba_mt
args: spa-nob
metrics:
- name: BLEU
type: bleu
value: 60.9
- name: chr-F
type: chrf
value: 0.76501
- task:
name: Translation spa-nor
type: translation
args: spa-nor
dataset:
name: tatoeba-test-v2021-08-07
type: tatoeba_mt
args: spa-nor
metrics:
- name: BLEU
type: bleu
value: 60.1
- name: chr-F
type: chrf
value: 0.75815
- task:
name: Translation spa-swe
type: translation
args: spa-swe
dataset:
name: tatoeba-test-v2021-08-07
type: tatoeba_mt
args: spa-swe
metrics:
- name: BLEU
type: bleu
value: 60.7
- name: chr-F
type: chrf
value: 0.74222
- task:
name: Translation eng-isl
type: translation
args: eng-isl
dataset:
name: newstest2021
type: wmt-2021-news
args: eng-isl
metrics:
- name: BLEU
type: bleu
value: 21.9
- name: chr-F
type: chrf
value: 0.51196
opus-mt-tc-bible-big-deu_eng_fra_por_spa-gmq
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 North Germanic languages (gmq).
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): dan fao isl nno nob non nor swe
- Valid Target Language Labels: >>dan<< >>fao<< >>isl<< >>jut<< >>nno<< >>nob<< >>non<< >>nor<< >>nrn<< >>ovd<< >>rmg<< >>swe<< >>xxx<<
- 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. >>dan<<
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 = [
">>dan<< Replace this with text in an accepted source language.",
">>swe<< This is the second sentence."
]
model_name = "pytorch-models/opus-mt-tc-bible-big-deu_eng_fra_por_spa-gmq"
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-gmq")
print(pipe(">>dan<< 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-dan | tatoeba-test-v2021-08-07 | 0.74051 | 57.8 | 9998 | 74644 |
| deu-isl | tatoeba-test-v2021-08-07 | 0.61256 | 31.7 | 969 | 5951 |
| deu-nob | tatoeba-test-v2021-08-07 | 0.71413 | 52.9 | 3525 | 31978 |
| deu-nor | tatoeba-test-v2021-08-07 | 0.71253 | 52.7 | 3651 | 32928 |
| deu-swe | tatoeba-test-v2021-08-07 | 0.72650 | 58.2 | 3410 | 22701 |
| eng-dan | tatoeba-test-v2021-08-07 | 0.74708 | 60.6 | 10795 | 79385 |
| eng-fao | tatoeba-test-v2021-08-07 | 0.48304 | 29.0 | 294 | 1933 |
| eng-isl | tatoeba-test-v2021-08-07 | 0.58312 | 33.2 | 2503 | 19023 |
| eng-nno | tatoeba-test-v2021-08-07 | 0.62606 | 42.7 | 460 | 3428 |
| eng-nob | tatoeba-test-v2021-08-07 | 0.72340 | 57.4 | 4539 | 36119 |
| eng-nor | tatoeba-test-v2021-08-07 | 0.71514 | 56.2 | 5000 | 39552 |
| eng-swe | tatoeba-test-v2021-08-07 | 0.73720 | 60.5 | 10362 | 68067 |
| fra-dan | tatoeba-test-v2021-08-07 | 0.78018 | 64.1 | 1731 | 11312 |
| fra-nob | tatoeba-test-v2021-08-07 | 0.74252 | 59.1 | 323 | 2175 |
| fra-nor | tatoeba-test-v2021-08-07 | 0.74407 | 60.3 | 477 | 3097 |
| fra-swe | tatoeba-test-v2021-08-07 | 0.75644 | 62.1 | 1407 | 9170 |
| por-dan | tatoeba-test-v2021-08-07 | 0.79528 | 65.6 | 873 | 5258 |
| por-nor | tatoeba-test-v2021-08-07 | 0.73559 | 58.0 | 481 | 4030 |
| por-swe | tatoeba-test-v2021-08-07 | 0.75566 | 60.2 | 320 | 1938 |
| spa-dan | tatoeba-test-v2021-08-07 | 0.73310 | 57.7 | 5000 | 35937 |
| spa-isl | tatoeba-test-v2021-08-07 | 0.52169 | 18.7 | 238 | 1220 |
| spa-nob | tatoeba-test-v2021-08-07 | 0.76501 | 60.9 | 885 | 6762 |
| spa-nor | tatoeba-test-v2021-08-07 | 0.75815 | 60.1 | 960 | 7217 |
| spa-swe | tatoeba-test-v2021-08-07 | 0.74222 | 60.7 | 1351 | 8357 |
| deu-dan | flores101-devtest | 0.62006 | 34.8 | 1012 | 24638 |
| deu-isl | flores101-devtest | 0.48236 | 18.8 | 1012 | 22834 |
| deu-swe | flores101-devtest | 0.61778 | 33.7 | 1012 | 23121 |
| eng-swe | flores101-devtest | 0.69435 | 45.5 | 1012 | 23121 |
| fra-dan | flores101-devtest | 0.61019 | 34.0 | 1012 | 24638 |
| fra-isl | flores101-devtest | 0.47647 | 18.1 | 1012 | 22834 |
| fra-swe | flores101-devtest | 0.60354 | 32.2 | 1012 | 23121 |
| por-isl | flores101-devtest | 0.47937 | 19.1 | 1012 | 22834 |
| por-swe | flores101-devtest | 0.60857 | 33.1 | 1012 | 23121 |
| spa-dan | flores101-devtest | 0.54890 | 24.4 | 1012 | 24638 |
| spa-nob | flores101-devtest | 0.50610 | 18.3 | 1012 | 23873 |
| spa-swe | flores101-devtest | 0.54011 | 22.4 | 1012 | 23121 |
| deu-dan | flores200-devtest | 0.62152 | 35.1 | 1012 | 24638 |
| deu-isl | flores200-devtest | 0.48648 | 19.1 | 1012 | 22834 |
| deu-nno | flores200-devtest | 0.53530 | 24.0 | 1012 | 24316 |
| deu-nob | flores200-devtest | 0.55748 | 25.1 | 1012 | 23873 |
| deu-swe | flores200-devtest | 0.62138 | 34.2 | 1012 | 23121 |
| eng-dan | flores200-devtest | 0.70321 | 47.0 | 1012 | 24638 |
| eng-isl | flores200-devtest | 0.52585 | 24.4 | 1012 | 22834 |
| eng-nno | flores200-devtest | 0.61372 | 33.8 | 1012 | 24316 |
| eng-nob | flores200-devtest | 0.62508 | 34.4 | 1012 | 23873 |
| eng-swe | flores200-devtest | 0.69703 | 46.0 | 1012 | 23121 |
| fra-dan | flores200-devtest | 0.61025 | 34.1 | 1012 | 24638 |
| fra-isl | flores200-devtest | 0.48273 | 18.8 | 1012 | 22834 |
| fra-nno | flores200-devtest | 0.53032 | 24.3 | 1012 | 24316 |
| fra-nob | flores200-devtest | 0.54933 | 25.0 | 1012 | 23873 |
| fra-swe | flores200-devtest | 0.60612 | 32.8 | 1012 | 23121 |
| por-dan | flores200-devtest | 0.62221 | 36.2 | 1012 | 24638 |
| por-isl | flores200-devtest | 0.48357 | 19.6 | 1012 | 22834 |
| por-nno | flores200-devtest | 0.54369 | 26.3 | 1012 | 24316 |
| por-nob | flores200-devtest | 0.56054 | 26.4 | 1012 | 23873 |
| por-swe | flores200-devtest | 0.61388 | 34.1 | 1012 | 23121 |
| spa-dan | flores200-devtest | 0.55091 | 24.7 | 1012 | 24638 |
| spa-isl | flores200-devtest | 0.44469 | 14.2 | 1012 | 22834 |
| spa-nno | flores200-devtest | 0.48898 | 18.6 | 1012 | 24316 |
| spa-nob | flores200-devtest | 0.50901 | 18.8 | 1012 | 23873 |
| spa-swe | flores200-devtest | 0.54182 | 22.7 | 1012 | 23121 |
| eng-isl | newstest2021 | 0.51196 | 21.9 | 1000 | 25233 |
| deu-dan | ntrex128 | 0.56412 | 29.1 | 1997 | 47643 |
| deu-isl | ntrex128 | 0.48309 | 18.8 | 1997 | 46643 |
| deu-nno | ntrex128 | 0.51535 | 22.0 | 1997 | 46512 |
| deu-nob | ntrex128 | 0.56152 | 27.6 | 1997 | 45501 |
| deu-swe | ntrex128 | 0.58061 | 29.6 | 1997 | 44889 |
| eng-dan | ntrex128 | 0.61894 | 37.6 | 1997 | 47643 |
| eng-isl | ntrex128 | 0.52027 | 23.9 | 1997 | 46643 |
| eng-nno | ntrex128 | 0.60754 | 34.0 | 1997 | 46512 |
| eng-nob | ntrex128 | 0.62327 | 36.9 | 1997 | 45501 |
| eng-swe | ntrex128 | 0.66129 | 41.3 | 1997 | 44889 |
| fra-dan | ntrex128 | 0.54102 | 27.1 | 1997 | 47643 |
| fra-isl | ntrex128 | 0.47296 | 18.4 | 1997 | 46643 |
| fra-nno | ntrex128 | 0.50532 | 21.6 | 1997 | 46512 |
| fra-nob | ntrex128 | 0.54026 | 25.7 | 1997 | 45501 |
| fra-swe | ntrex128 | 0.56278 | 27.9 | 1997 | 44889 |
| por-dan | ntrex128 | 0.56288 | 30.0 | 1997 | 47643 |
| por-isl | ntrex128 | 0.47577 | 17.8 | 1997 | 46643 |
| por-nno | ntrex128 | 0.52158 | 23.0 | 1997 | 46512 |
| por-nob | ntrex128 | 0.55788 | 27.4 | 1997 | 45501 |
| por-swe | ntrex128 | 0.57790 | 29.3 | 1997 | 44889 |
| spa-dan | ntrex128 | 0.55607 | 27.5 | 1997 | 47643 |
| spa-isl | ntrex128 | 0.48566 | 18.4 | 1997 | 46643 |
| spa-nno | ntrex128 | 0.51741 | 22.2 | 1997 | 46512 |
| spa-nob | ntrex128 | 0.55824 | 26.8 | 1997 | 45501 |
| spa-swe | ntrex128 | 0.57851 | 28.8 | 1997 | 44889 |
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 10:03:29 EEST 2024
- port machine: LM0-400-22516.local