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opus-mt-tc-base-gmw-gmw

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Add multilingual to the language tag

#2
by lbourdois - opened
base: refs/heads/main
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from: refs/pr/2
Discussion Files changed
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Files changed (1) hide show
  1. README.md +147 -552
README.md CHANGED
@@ -12,757 +12,352 @@ language:
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  - nl
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  - pdc
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  - yi
 
 
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  tags:
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  - translation
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  - opus-mt-tc
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- license: cc-by-4.0
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  model-index:
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  - name: opus-mt-tc-base-gmw-gmw
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  results:
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  - task:
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- name: Translation afr-deu
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  type: translation
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- args: afr-deu
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  dataset:
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  name: flores101-devtest
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  type: flores_101
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  args: afr deu devtest
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  metrics:
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- - name: BLEU
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- type: bleu
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  value: 21.6
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- - task:
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- name: Translation afr-eng
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- type: translation
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- args: afr-eng
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- dataset:
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- name: flores101-devtest
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- type: flores_101
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- args: afr eng devtest
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- metrics:
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- - name: BLEU
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- type: bleu
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  value: 46.8
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- - task:
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- name: Translation deu-afr
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- type: translation
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- args: deu-afr
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- dataset:
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- name: flores101-devtest
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- type: flores_101
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- args: deu afr devtest
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- metrics:
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- - name: BLEU
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- type: bleu
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  value: 21.4
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- - task:
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- name: Translation deu-eng
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- type: translation
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- args: deu-eng
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- dataset:
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- name: flores101-devtest
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- type: flores_101
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- args: deu eng devtest
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- metrics:
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- - name: BLEU
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- type: bleu
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  value: 33.8
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- - task:
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- name: Translation eng-afr
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- type: translation
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- args: eng-afr
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- dataset:
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- name: flores101-devtest
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- type: flores_101
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- args: eng afr devtest
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- metrics:
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- - name: BLEU
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- type: bleu
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  value: 33.8
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- - task:
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- name: Translation eng-deu
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- type: translation
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- args: eng-deu
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- dataset:
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- name: flores101-devtest
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- type: flores_101
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- args: eng deu devtest
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- metrics:
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- - name: BLEU
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- type: bleu
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  value: 29.1
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- - task:
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- name: Translation eng-nld
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- type: translation
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- args: eng-nld
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- dataset:
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- name: flores101-devtest
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- type: flores_101
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- args: eng nld devtest
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- metrics:
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- - name: BLEU
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- type: bleu
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  value: 21.0
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- - task:
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- name: Translation nld-eng
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- type: translation
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- args: nld-eng
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- dataset:
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- name: flores101-devtest
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- type: flores_101
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- args: nld eng devtest
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- metrics:
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- - name: BLEU
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- type: bleu
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  value: 25.6
 
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  - task:
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- name: Translation deu-eng
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  type: translation
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- args: deu-eng
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  dataset:
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  name: multi30k_test_2016_flickr
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  type: multi30k-2016_flickr
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  args: deu-eng
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  metrics:
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- - name: BLEU
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- type: bleu
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  value: 32.2
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- - task:
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- name: Translation eng-deu
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- type: translation
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- args: eng-deu
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- dataset:
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- name: multi30k_test_2016_flickr
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- type: multi30k-2016_flickr
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- args: eng-deu
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- metrics:
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- - name: BLEU
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- type: bleu
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  value: 28.8
 
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  - task:
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- name: Translation deu-eng
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  type: translation
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- args: deu-eng
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  dataset:
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  name: multi30k_test_2017_flickr
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  type: multi30k-2017_flickr
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  args: deu-eng
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  metrics:
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- - name: BLEU
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- type: bleu
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  value: 32.7
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- - task:
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- name: Translation eng-deu
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- type: translation
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- args: eng-deu
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- dataset:
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- name: multi30k_test_2017_flickr
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- type: multi30k-2017_flickr
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- args: eng-deu
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- metrics:
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- - name: BLEU
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- type: bleu
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  value: 27.6
 
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  - task:
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- name: Translation deu-eng
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  type: translation
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- args: deu-eng
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  dataset:
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  name: multi30k_test_2017_mscoco
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  type: multi30k-2017_mscoco
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  args: deu-eng
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  metrics:
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- - name: BLEU
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- type: bleu
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  value: 25.5
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- - task:
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- name: Translation eng-deu
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- type: translation
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- args: eng-deu
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- dataset:
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- name: multi30k_test_2017_mscoco
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- type: multi30k-2017_mscoco
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- args: eng-deu
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- metrics:
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- - name: BLEU
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- type: bleu
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  value: 22.0
 
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  - task:
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- name: Translation deu-eng
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  type: translation
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- args: deu-eng
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  dataset:
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  name: multi30k_test_2018_flickr
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  type: multi30k-2018_flickr
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  args: deu-eng
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  metrics:
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- - name: BLEU
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- type: bleu
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  value: 30.0
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- - task:
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- name: Translation eng-deu
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- type: translation
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- args: eng-deu
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- dataset:
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- name: multi30k_test_2018_flickr
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- type: multi30k-2018_flickr
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- args: eng-deu
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- metrics:
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- - name: BLEU
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- type: bleu
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  value: 25.3
 
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  - task:
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- name: Translation deu-eng
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  type: translation
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- args: deu-eng
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  dataset:
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  name: news-test2008
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  type: news-test2008
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  args: deu-eng
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  metrics:
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- - name: BLEU
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- type: bleu
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  value: 23.8
 
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  - task:
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- name: Translation afr-deu
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  type: translation
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- args: afr-deu
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  dataset:
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  name: tatoeba-test-v2021-08-07
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  type: tatoeba_mt
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  args: afr-deu
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  metrics:
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- - name: BLEU
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- type: bleu
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  value: 48.1
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- - task:
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- name: Translation afr-eng
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- type: translation
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- args: afr-eng
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- dataset:
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- name: tatoeba-test-v2021-08-07
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- type: tatoeba_mt
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- args: afr-eng
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- metrics:
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- - name: BLEU
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- type: bleu
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  value: 58.8
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- - task:
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- name: Translation afr-nld
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- type: translation
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- args: afr-nld
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- dataset:
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- name: tatoeba-test-v2021-08-07
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- type: tatoeba_mt
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- args: afr-nld
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- metrics:
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- - name: BLEU
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- type: bleu
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  value: 54.5
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- - task:
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- name: Translation deu-afr
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- type: translation
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- args: deu-afr
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- dataset:
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- name: tatoeba-test-v2021-08-07
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- type: tatoeba_mt
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- args: deu-afr
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- metrics:
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- - name: BLEU
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- type: bleu
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  value: 52.4
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- - task:
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- name: Translation deu-eng
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- type: translation
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- args: deu-eng
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- dataset:
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- name: tatoeba-test-v2021-08-07
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- type: tatoeba_mt
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- args: deu-eng
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- metrics:
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- - name: BLEU
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- type: bleu
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  value: 42.1
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- - task:
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- name: Translation deu-nld
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- type: translation
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- args: deu-nld
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- dataset:
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- name: tatoeba-test-v2021-08-07
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- type: tatoeba_mt
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- args: deu-nld
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- metrics:
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- - name: BLEU
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- type: bleu
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  value: 48.7
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- - task:
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- name: Translation eng-afr
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- type: translation
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- args: eng-afr
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- dataset:
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- name: tatoeba-test-v2021-08-07
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- type: tatoeba_mt
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- args: eng-afr
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- metrics:
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- - name: BLEU
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- type: bleu
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  value: 56.5
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- - task:
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- name: Translation eng-deu
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- type: translation
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- args: eng-deu
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- dataset:
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- name: tatoeba-test-v2021-08-07
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- type: tatoeba_mt
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- args: eng-deu
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- metrics:
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- - name: BLEU
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- type: bleu
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  value: 35.9
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- - task:
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- name: Translation eng-nld
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- type: translation
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- args: eng-nld
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- dataset:
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- name: tatoeba-test-v2021-08-07
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- type: tatoeba_mt
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- args: eng-nld
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- metrics:
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- - name: BLEU
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- type: bleu
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  value: 48.3
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- - task:
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- name: Translation fry-eng
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- type: translation
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- args: fry-eng
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- dataset:
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- name: tatoeba-test-v2021-08-07
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- type: tatoeba_mt
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- args: fry-eng
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- metrics:
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- - name: BLEU
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- type: bleu
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  value: 32.5
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- - task:
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- name: Translation fry-nld
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- type: translation
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- args: fry-nld
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- dataset:
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- name: tatoeba-test-v2021-08-07
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- type: tatoeba_mt
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- args: fry-nld
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- metrics:
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- - name: BLEU
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- type: bleu
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  value: 43.1
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- - task:
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- name: Translation hrx-deu
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- type: translation
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- args: hrx-deu
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- dataset:
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- name: tatoeba-test-v2021-08-07
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- type: tatoeba_mt
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- args: hrx-deu
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- metrics:
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- - name: BLEU
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- type: bleu
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  value: 24.7
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- - task:
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- name: Translation hrx-eng
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- type: translation
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- args: hrx-eng
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- dataset:
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- name: tatoeba-test-v2021-08-07
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- type: tatoeba_mt
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- args: hrx-eng
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- metrics:
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- - name: BLEU
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- type: bleu
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  value: 20.4
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- - task:
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- name: Translation ltz-deu
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- type: translation
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- args: ltz-deu
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- dataset:
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- name: tatoeba-test-v2021-08-07
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- type: tatoeba_mt
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- args: ltz-deu
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- metrics:
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- - name: BLEU
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- type: bleu
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  value: 37.2
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- - task:
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- name: Translation ltz-eng
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- type: translation
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- args: ltz-eng
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- dataset:
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- name: tatoeba-test-v2021-08-07
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- type: tatoeba_mt
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- args: ltz-eng
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- metrics:
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- - name: BLEU
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- type: bleu
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  value: 32.4
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- - task:
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- name: Translation ltz-nld
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- type: translation
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- args: ltz-nld
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- dataset:
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- name: tatoeba-test-v2021-08-07
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- type: tatoeba_mt
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- args: ltz-nld
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- metrics:
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- - name: BLEU
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- type: bleu
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  value: 39.3
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- - task:
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- name: Translation nds-deu
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- type: translation
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- args: nds-deu
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- dataset:
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- name: tatoeba-test-v2021-08-07
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- type: tatoeba_mt
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- args: nds-deu
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- metrics:
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- - name: BLEU
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- type: bleu
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  value: 34.5
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- - task:
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- name: Translation nds-eng
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- type: translation
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- args: nds-eng
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- dataset:
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- name: tatoeba-test-v2021-08-07
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- type: tatoeba_mt
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- args: nds-eng
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- metrics:
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- - name: BLEU
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- type: bleu
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  value: 29.9
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- - task:
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- name: Translation nds-nld
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- type: translation
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- args: nds-nld
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- dataset:
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- name: tatoeba-test-v2021-08-07
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- type: tatoeba_mt
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- args: nds-nld
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- metrics:
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- - name: BLEU
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- type: bleu
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  value: 42.3
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- - task:
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- name: Translation nld-afr
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- type: translation
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- args: nld-afr
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- dataset:
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- name: tatoeba-test-v2021-08-07
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- type: tatoeba_mt
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- args: nld-afr
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- metrics:
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- - name: BLEU
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- type: bleu
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  value: 58.8
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- - task:
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- name: Translation nld-deu
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- type: translation
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- args: nld-deu
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- dataset:
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- name: tatoeba-test-v2021-08-07
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- type: tatoeba_mt
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- args: nld-deu
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- metrics:
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- - name: BLEU
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- type: bleu
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  value: 50.4
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- - task:
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- name: Translation nld-eng
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- type: translation
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- args: nld-eng
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- dataset:
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- name: tatoeba-test-v2021-08-07
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- type: tatoeba_mt
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- args: nld-eng
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- metrics:
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- - name: BLEU
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- type: bleu
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  value: 53.1
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- - task:
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- name: Translation nld-fry
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- type: translation
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- args: nld-fry
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- dataset:
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- name: tatoeba-test-v2021-08-07
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- type: tatoeba_mt
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- args: nld-fry
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- metrics:
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- - name: BLEU
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- type: bleu
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  value: 25.1
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- - task:
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- name: Translation nld-nds
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- type: translation
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- args: nld-nds
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- dataset:
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- name: tatoeba-test-v2021-08-07
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- type: tatoeba_mt
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- args: nld-nds
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- metrics:
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- - name: BLEU
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- type: bleu
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  value: 21.4
 
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  - task:
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- name: Translation deu-eng
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  type: translation
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- args: deu-eng
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  dataset:
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  name: newstest2009
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  type: wmt-2009-news
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  args: deu-eng
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  metrics:
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- - name: BLEU
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- type: bleu
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  value: 23.4
 
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  - task:
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- name: Translation deu-eng
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  type: translation
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- args: deu-eng
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  dataset:
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  name: newstest2010
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  type: wmt-2010-news
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  args: deu-eng
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  metrics:
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- - name: BLEU
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- type: bleu
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  value: 25.8
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- - task:
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- name: Translation eng-deu
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- type: translation
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- args: eng-deu
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- dataset:
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- name: newstest2010
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- type: wmt-2010-news
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- args: eng-deu
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- metrics:
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- - name: BLEU
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- type: bleu
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  value: 20.7
 
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  - task:
551
- name: Translation deu-eng
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  type: translation
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- args: deu-eng
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  dataset:
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  name: newstest2011
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  type: wmt-2011-news
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  args: deu-eng
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  metrics:
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- - name: BLEU
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- type: bleu
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  value: 23.7
 
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  - task:
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- name: Translation deu-eng
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  type: translation
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- args: deu-eng
566
  dataset:
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  name: newstest2012
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  type: wmt-2012-news
569
  args: deu-eng
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  metrics:
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- - name: BLEU
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- type: bleu
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  value: 24.8
 
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  - task:
575
- name: Translation deu-eng
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  type: translation
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- args: deu-eng
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  dataset:
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  name: newstest2013
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  type: wmt-2013-news
581
  args: deu-eng
582
  metrics:
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- - name: BLEU
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- type: bleu
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  value: 27.7
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- - task:
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- name: Translation eng-deu
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- type: translation
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- args: eng-deu
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- dataset:
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- name: newstest2013
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- type: wmt-2013-news
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- args: eng-deu
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- metrics:
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- - name: BLEU
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- type: bleu
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  value: 22.5
 
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  - task:
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- name: Translation deu-eng
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  type: translation
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- args: deu-eng
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  dataset:
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  name: newstest2014-deen
604
  type: wmt-2014-news
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  args: deu-eng
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  metrics:
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- - name: BLEU
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- type: bleu
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  value: 27.3
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- - task:
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- name: Translation eng-deu
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- type: translation
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- args: eng-deu
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- dataset:
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- name: newstest2014-deen
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- type: wmt-2014-news
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- args: eng-deu
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- metrics:
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- - name: BLEU
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- type: bleu
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  value: 22.0
 
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  - task:
623
- name: Translation deu-eng
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  type: translation
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- args: deu-eng
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  dataset:
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  name: newstest2015-deen
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  type: wmt-2015-news
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  args: deu-eng
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  metrics:
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- - name: BLEU
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- type: bleu
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  value: 28.6
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- - task:
635
- name: Translation eng-deu
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- type: translation
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- args: eng-deu
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- dataset:
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- name: newstest2015-ende
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- type: wmt-2015-news
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- args: eng-deu
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- metrics:
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- - name: BLEU
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- type: bleu
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  value: 25.7
 
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  - task:
647
- name: Translation deu-eng
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  type: translation
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- args: deu-eng
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  dataset:
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  name: newstest2016-deen
652
  type: wmt-2016-news
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  args: deu-eng
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  metrics:
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- - name: BLEU
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- type: bleu
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  value: 33.3
658
- - task:
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- name: Translation eng-deu
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- type: translation
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- args: eng-deu
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- dataset:
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- name: newstest2016-ende
664
- type: wmt-2016-news
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- args: eng-deu
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- metrics:
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- - name: BLEU
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- type: bleu
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  value: 30.0
 
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  - task:
671
- name: Translation deu-eng
672
  type: translation
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- args: deu-eng
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  dataset:
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  name: newstest2017-deen
676
  type: wmt-2017-news
677
  args: deu-eng
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  metrics:
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- - name: BLEU
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- type: bleu
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  value: 29.5
682
- - task:
683
- name: Translation eng-deu
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- type: translation
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- args: eng-deu
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- dataset:
687
- name: newstest2017-ende
688
- type: wmt-2017-news
689
- args: eng-deu
690
- metrics:
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- - name: BLEU
692
- type: bleu
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  value: 24.1
 
694
  - task:
695
- name: Translation deu-eng
696
  type: translation
697
- args: deu-eng
698
  dataset:
699
  name: newstest2018-deen
700
  type: wmt-2018-news
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  args: deu-eng
702
  metrics:
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- - name: BLEU
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- type: bleu
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  value: 36.1
706
- - task:
707
- name: Translation eng-deu
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- type: translation
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- args: eng-deu
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- dataset:
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- name: newstest2018-ende
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- type: wmt-2018-news
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- args: eng-deu
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- metrics:
715
- - name: BLEU
716
- type: bleu
717
  value: 35.4
 
718
  - task:
719
- name: Translation deu-eng
720
  type: translation
721
- args: deu-eng
722
  dataset:
723
  name: newstest2019-deen
724
  type: wmt-2019-news
725
  args: deu-eng
726
  metrics:
727
- - name: BLEU
728
- type: bleu
729
  value: 32.3
730
- - task:
731
- name: Translation eng-deu
732
- type: translation
733
- args: eng-deu
734
- dataset:
735
- name: newstest2019-ende
736
- type: wmt-2019-news
737
- args: eng-deu
738
- metrics:
739
- - name: BLEU
740
- type: bleu
741
  value: 31.2
 
742
  - task:
743
- name: Translation deu-eng
744
  type: translation
745
- args: deu-eng
746
  dataset:
747
  name: newstest2020-deen
748
  type: wmt-2020-news
749
  args: deu-eng
750
  metrics:
751
- - name: BLEU
752
- type: bleu
753
  value: 32.0
754
- - task:
755
- name: Translation eng-deu
756
- type: translation
757
- args: eng-deu
758
- dataset:
759
- name: newstest2020-ende
760
- type: wmt-2020-news
761
- args: eng-deu
762
- metrics:
763
- - name: BLEU
764
- type: bleu
765
  value: 23.9
 
766
  ---
767
  # opus-mt-tc-base-gmw-gmw
768
 
@@ -770,7 +365,7 @@ Neural machine translation model for translating from West Germanic languages (g
770
 
771
  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).
772
 
773
- * Publications: [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.)
774
 
775
  ```
776
  @inproceedings{tiedemann-thottingal-2020-opus,
@@ -941,7 +536,7 @@ print(pipe(>>nld<< You need help.))
941
 
942
  ## Acknowledgements
943
 
944
- The work is supported by the [European Language Grid](https://www.european-language-grid.eu/) as [pilot project 2866](https://live.european-language-grid.eu/catalogue/#/resource/projects/2866), by the [FoTran project](https://www.helsinki.fi/en/researchgroups/natural-language-understanding-with-cross-lingual-grounding), funded by the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (grant agreement No 771113), and the [MeMAD project](https://memad.eu/), funded by the European Union’s Horizon 2020 Research and Innovation Programme under grant agreement No 780069. We are also grateful for the generous computational resources and IT infrastructure provided by [CSC -- IT Center for Science](https://www.csc.fi/), Finland.
945
 
946
  ## Model conversion info
947
 
 
12
  - nl
13
  - pdc
14
  - yi
15
+ - multilingual
16
+ license: cc-by-4.0
17
  tags:
18
  - translation
19
  - opus-mt-tc
 
20
  model-index:
21
  - name: opus-mt-tc-base-gmw-gmw
22
  results:
23
  - task:
 
24
  type: translation
25
+ name: Translation afr-deu
26
  dataset:
27
  name: flores101-devtest
28
  type: flores_101
29
  args: afr deu devtest
30
  metrics:
31
+ - type: bleu
 
32
  value: 21.6
33
+ name: BLEU
34
+ - type: bleu
 
 
 
 
 
 
 
 
 
35
  value: 46.8
36
+ name: BLEU
37
+ - type: bleu
 
 
 
 
 
 
 
 
 
38
  value: 21.4
39
+ name: BLEU
40
+ - type: bleu
 
 
 
 
 
 
 
 
 
41
  value: 33.8
42
+ name: BLEU
43
+ - type: bleu
 
 
 
 
 
 
 
 
 
44
  value: 33.8
45
+ name: BLEU
46
+ - type: bleu
 
 
 
 
 
 
 
 
 
47
  value: 29.1
48
+ name: BLEU
49
+ - type: bleu
 
 
 
 
 
 
 
 
 
50
  value: 21.0
51
+ name: BLEU
52
+ - type: bleu
 
 
 
 
 
 
 
 
 
53
  value: 25.6
54
+ name: BLEU
55
  - task:
 
56
  type: translation
57
+ name: Translation deu-eng
58
  dataset:
59
  name: multi30k_test_2016_flickr
60
  type: multi30k-2016_flickr
61
  args: deu-eng
62
  metrics:
63
+ - type: bleu
 
64
  value: 32.2
65
+ name: BLEU
66
+ - type: bleu
 
 
 
 
 
 
 
 
 
67
  value: 28.8
68
+ name: BLEU
69
  - task:
 
70
  type: translation
71
+ name: Translation deu-eng
72
  dataset:
73
  name: multi30k_test_2017_flickr
74
  type: multi30k-2017_flickr
75
  args: deu-eng
76
  metrics:
77
+ - type: bleu
 
78
  value: 32.7
79
+ name: BLEU
80
+ - type: bleu
 
 
 
 
 
 
 
 
 
81
  value: 27.6
82
+ name: BLEU
83
  - task:
 
84
  type: translation
85
+ name: Translation deu-eng
86
  dataset:
87
  name: multi30k_test_2017_mscoco
88
  type: multi30k-2017_mscoco
89
  args: deu-eng
90
  metrics:
91
+ - type: bleu
 
92
  value: 25.5
93
+ name: BLEU
94
+ - type: bleu
 
 
 
 
 
 
 
 
 
95
  value: 22.0
96
+ name: BLEU
97
  - task:
 
98
  type: translation
99
+ name: Translation deu-eng
100
  dataset:
101
  name: multi30k_test_2018_flickr
102
  type: multi30k-2018_flickr
103
  args: deu-eng
104
  metrics:
105
+ - type: bleu
 
106
  value: 30.0
107
+ name: BLEU
108
+ - type: bleu
 
 
 
 
 
 
 
 
 
109
  value: 25.3
110
+ name: BLEU
111
  - task:
 
112
  type: translation
113
+ name: Translation deu-eng
114
  dataset:
115
  name: news-test2008
116
  type: news-test2008
117
  args: deu-eng
118
  metrics:
119
+ - type: bleu
 
120
  value: 23.8
121
+ name: BLEU
122
  - task:
 
123
  type: translation
124
+ name: Translation afr-deu
125
  dataset:
126
  name: tatoeba-test-v2021-08-07
127
  type: tatoeba_mt
128
  args: afr-deu
129
  metrics:
130
+ - type: bleu
 
131
  value: 48.1
132
+ name: BLEU
133
+ - type: bleu
 
 
 
 
 
 
 
 
 
134
  value: 58.8
135
+ name: BLEU
136
+ - type: bleu
 
 
 
 
 
 
 
 
 
137
  value: 54.5
138
+ name: BLEU
139
+ - type: bleu
 
 
 
 
 
 
 
 
 
140
  value: 52.4
141
+ name: BLEU
142
+ - type: bleu
 
 
 
 
 
 
 
 
 
143
  value: 42.1
144
+ name: BLEU
145
+ - type: bleu
 
 
 
 
 
 
 
 
 
146
  value: 48.7
147
+ name: BLEU
148
+ - type: bleu
 
 
 
 
 
 
 
 
 
149
  value: 56.5
150
+ name: BLEU
151
+ - type: bleu
 
 
 
 
 
 
 
 
 
152
  value: 35.9
153
+ name: BLEU
154
+ - type: bleu
 
 
 
 
 
 
 
 
 
155
  value: 48.3
156
+ name: BLEU
157
+ - type: bleu
 
 
 
 
 
 
 
 
 
158
  value: 32.5
159
+ name: BLEU
160
+ - type: bleu
 
 
 
 
 
 
 
 
 
161
  value: 43.1
162
+ name: BLEU
163
+ - type: bleu
 
 
 
 
 
 
 
 
 
164
  value: 24.7
165
+ name: BLEU
166
+ - type: bleu
 
 
 
 
 
 
 
 
 
167
  value: 20.4
168
+ name: BLEU
169
+ - type: bleu
 
 
 
 
 
 
 
 
 
170
  value: 37.2
171
+ name: BLEU
172
+ - type: bleu
 
 
 
 
 
 
 
 
 
173
  value: 32.4
174
+ name: BLEU
175
+ - type: bleu
 
 
 
 
 
 
 
 
 
176
  value: 39.3
177
+ name: BLEU
178
+ - type: bleu
 
 
 
 
 
 
 
 
 
179
  value: 34.5
180
+ name: BLEU
181
+ - type: bleu
 
 
 
 
 
 
 
 
 
182
  value: 29.9
183
+ name: BLEU
184
+ - type: bleu
 
 
 
 
 
 
 
 
 
185
  value: 42.3
186
+ name: BLEU
187
+ - type: bleu
 
 
 
 
 
 
 
 
 
188
  value: 58.8
189
+ name: BLEU
190
+ - type: bleu
 
 
 
 
 
 
 
 
 
191
  value: 50.4
192
+ name: BLEU
193
+ - type: bleu
 
 
 
 
 
 
 
 
 
194
  value: 53.1
195
+ name: BLEU
196
+ - type: bleu
 
 
 
 
 
 
 
 
 
197
  value: 25.1
198
+ name: BLEU
199
+ - type: bleu
 
 
 
 
 
 
 
 
 
200
  value: 21.4
201
+ name: BLEU
202
  - task:
 
203
  type: translation
204
+ name: Translation deu-eng
205
  dataset:
206
  name: newstest2009
207
  type: wmt-2009-news
208
  args: deu-eng
209
  metrics:
210
+ - type: bleu
 
211
  value: 23.4
212
+ name: BLEU
213
  - task:
 
214
  type: translation
215
+ name: Translation deu-eng
216
  dataset:
217
  name: newstest2010
218
  type: wmt-2010-news
219
  args: deu-eng
220
  metrics:
221
+ - type: bleu
 
222
  value: 25.8
223
+ name: BLEU
224
+ - type: bleu
 
 
 
 
 
 
 
 
 
225
  value: 20.7
226
+ name: BLEU
227
  - task:
 
228
  type: translation
229
+ name: Translation deu-eng
230
  dataset:
231
  name: newstest2011
232
  type: wmt-2011-news
233
  args: deu-eng
234
  metrics:
235
+ - type: bleu
 
236
  value: 23.7
237
+ name: BLEU
238
  - task:
 
239
  type: translation
240
+ name: Translation deu-eng
241
  dataset:
242
  name: newstest2012
243
  type: wmt-2012-news
244
  args: deu-eng
245
  metrics:
246
+ - type: bleu
 
247
  value: 24.8
248
+ name: BLEU
249
  - task:
 
250
  type: translation
251
+ name: Translation deu-eng
252
  dataset:
253
  name: newstest2013
254
  type: wmt-2013-news
255
  args: deu-eng
256
  metrics:
257
+ - type: bleu
 
258
  value: 27.7
259
+ name: BLEU
260
+ - type: bleu
 
 
 
 
 
 
 
 
 
261
  value: 22.5
262
+ name: BLEU
263
  - task:
 
264
  type: translation
265
+ name: Translation deu-eng
266
  dataset:
267
  name: newstest2014-deen
268
  type: wmt-2014-news
269
  args: deu-eng
270
  metrics:
271
+ - type: bleu
 
272
  value: 27.3
273
+ name: BLEU
274
+ - type: bleu
 
 
 
 
 
 
 
 
 
275
  value: 22.0
276
+ name: BLEU
277
  - task:
 
278
  type: translation
279
+ name: Translation deu-eng
280
  dataset:
281
  name: newstest2015-deen
282
  type: wmt-2015-news
283
  args: deu-eng
284
  metrics:
285
+ - type: bleu
 
286
  value: 28.6
287
+ name: BLEU
288
+ - type: bleu
 
 
 
 
 
 
 
 
 
289
  value: 25.7
290
+ name: BLEU
291
  - task:
 
292
  type: translation
293
+ name: Translation deu-eng
294
  dataset:
295
  name: newstest2016-deen
296
  type: wmt-2016-news
297
  args: deu-eng
298
  metrics:
299
+ - type: bleu
 
300
  value: 33.3
301
+ name: BLEU
302
+ - type: bleu
 
 
 
 
 
 
 
 
 
303
  value: 30.0
304
+ name: BLEU
305
  - task:
 
306
  type: translation
307
+ name: Translation deu-eng
308
  dataset:
309
  name: newstest2017-deen
310
  type: wmt-2017-news
311
  args: deu-eng
312
  metrics:
313
+ - type: bleu
 
314
  value: 29.5
315
+ name: BLEU
316
+ - type: bleu
 
 
 
 
 
 
 
 
 
317
  value: 24.1
318
+ name: BLEU
319
  - task:
 
320
  type: translation
321
+ name: Translation deu-eng
322
  dataset:
323
  name: newstest2018-deen
324
  type: wmt-2018-news
325
  args: deu-eng
326
  metrics:
327
+ - type: bleu
 
328
  value: 36.1
329
+ name: BLEU
330
+ - type: bleu
 
 
 
 
 
 
 
 
 
331
  value: 35.4
332
+ name: BLEU
333
  - task:
 
334
  type: translation
335
+ name: Translation deu-eng
336
  dataset:
337
  name: newstest2019-deen
338
  type: wmt-2019-news
339
  args: deu-eng
340
  metrics:
341
+ - type: bleu
 
342
  value: 32.3
343
+ name: BLEU
344
+ - type: bleu
 
 
 
 
 
 
 
 
 
345
  value: 31.2
346
+ name: BLEU
347
  - task:
 
348
  type: translation
349
+ name: Translation deu-eng
350
  dataset:
351
  name: newstest2020-deen
352
  type: wmt-2020-news
353
  args: deu-eng
354
  metrics:
355
+ - type: bleu
 
356
  value: 32.0
357
+ name: BLEU
358
+ - type: bleu
 
 
 
 
 
 
 
 
 
359
  value: 23.9
360
+ name: BLEU
361
  ---
362
  # opus-mt-tc-base-gmw-gmw
363
 
 
365
 
366
  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).
367
 
368
+ * Publications: [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.)
369
 
370
  ```
371
  @inproceedings{tiedemann-thottingal-2020-opus,
 
536
 
537
  ## Acknowledgements
538
 
539
+ The work is supported by the [European Language Grid](https://www.european-language-grid.eu/) as [pilot project 2866](https://live.european-language-grid.eu/catalogue/#/resource/projects/2866), by the [FoTran project](https://www.helsinki.fi/en/researchgroups/natural-language-understanding-with-cross-lingual-grounding), funded by the European Research Council (ERC) under the European Union�s Horizon 2020 research and innovation programme (grant agreement No 771113), and the [MeMAD project](https://memad.eu/), funded by the European Union�s Horizon 2020 Research and Innovation Programme under grant agreement No 780069. We are also grateful for the generous computational resources and IT infrastructure provided by [CSC -- IT Center for Science](https://www.csc.fi/), Finland.
540
 
541
  ## Model conversion info
542