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--- |
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library_name: transformers |
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language: |
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- da |
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- de |
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- en |
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- es |
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- fo |
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- fr |
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- is |
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- nb |
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- nn |
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- no |
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- non |
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- pt |
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- sv |
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tags: |
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- translation |
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- opus-mt-tc-bible |
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license: apache-2.0 |
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model-index: |
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- name: opus-mt-tc-bible-big-deu_eng_fra_por_spa-gmq |
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results: |
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- task: |
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name: Translation deu-dan |
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type: translation |
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args: deu-dan |
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dataset: |
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name: flores200-devtest |
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type: flores200-devtest |
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args: deu-dan |
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metrics: |
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- name: BLEU |
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type: bleu |
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value: 35.1 |
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- name: chr-F |
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type: chrf |
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value: 0.62152 |
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- task: |
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name: Translation deu-fao |
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type: translation |
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args: deu-fao |
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dataset: |
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name: flores200-devtest |
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type: flores200-devtest |
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args: deu-fao |
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metrics: |
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- name: BLEU |
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type: bleu |
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value: 11.5 |
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- name: chr-F |
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type: chrf |
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value: 0.33611 |
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- task: |
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name: Translation deu-isl |
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type: translation |
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args: deu-isl |
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dataset: |
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name: flores200-devtest |
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type: flores200-devtest |
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args: deu-isl |
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metrics: |
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- name: BLEU |
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type: bleu |
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value: 19.1 |
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- name: chr-F |
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type: chrf |
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value: 0.48648 |
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- task: |
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name: Translation deu-nno |
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type: translation |
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args: deu-nno |
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dataset: |
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name: flores200-devtest |
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type: flores200-devtest |
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args: deu-nno |
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metrics: |
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- name: BLEU |
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type: bleu |
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value: 24.0 |
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- name: chr-F |
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type: chrf |
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value: 0.53530 |
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- task: |
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name: Translation deu-nob |
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type: translation |
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args: deu-nob |
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dataset: |
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name: flores200-devtest |
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type: flores200-devtest |
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args: deu-nob |
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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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- name: chr-F |
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type: chrf |
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value: 0.55748 |
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- task: |
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name: Translation deu-swe |
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type: translation |
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args: deu-swe |
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dataset: |
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name: flores200-devtest |
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type: flores200-devtest |
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args: deu-swe |
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metrics: |
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- name: BLEU |
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type: bleu |
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value: 34.2 |
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- name: chr-F |
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type: chrf |
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value: 0.62138 |
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- task: |
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name: Translation eng-dan |
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type: translation |
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args: eng-dan |
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dataset: |
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name: flores200-devtest |
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type: flores200-devtest |
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args: eng-dan |
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metrics: |
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- name: BLEU |
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type: bleu |
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value: 47.0 |
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- name: chr-F |
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type: chrf |
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value: 0.70321 |
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- task: |
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name: Translation eng-fao |
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type: translation |
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args: eng-fao |
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dataset: |
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name: flores200-devtest |
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type: flores200-devtest |
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args: eng-fao |
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metrics: |
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- name: BLEU |
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type: bleu |
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value: 14.1 |
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- name: chr-F |
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type: chrf |
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value: 0.35857 |
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- task: |
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name: Translation eng-isl |
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type: translation |
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args: eng-isl |
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dataset: |
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name: flores200-devtest |
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type: flores200-devtest |
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args: eng-isl |
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metrics: |
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- name: BLEU |
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type: bleu |
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value: 24.4 |
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- name: chr-F |
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type: chrf |
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value: 0.52585 |
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- task: |
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name: Translation eng-nno |
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type: translation |
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args: eng-nno |
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dataset: |
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name: flores200-devtest |
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type: flores200-devtest |
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args: eng-nno |
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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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- name: chr-F |
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type: chrf |
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value: 0.61372 |
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- task: |
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name: Translation eng-nob |
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type: translation |
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args: eng-nob |
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dataset: |
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name: flores200-devtest |
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type: flores200-devtest |
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args: eng-nob |
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metrics: |
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- name: BLEU |
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type: bleu |
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value: 34.4 |
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- name: chr-F |
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type: chrf |
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value: 0.62508 |
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- task: |
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name: Translation eng-swe |
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type: translation |
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args: eng-swe |
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dataset: |
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name: flores200-devtest |
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type: flores200-devtest |
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args: eng-swe |
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metrics: |
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- name: BLEU |
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type: bleu |
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value: 46.0 |
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- name: chr-F |
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type: chrf |
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value: 0.69703 |
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- task: |
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name: Translation fra-dan |
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type: translation |
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args: fra-dan |
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dataset: |
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name: flores200-devtest |
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type: flores200-devtest |
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args: fra-dan |
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metrics: |
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- name: BLEU |
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type: bleu |
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value: 34.1 |
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- name: chr-F |
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type: chrf |
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value: 0.61025 |
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- task: |
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name: Translation fra-isl |
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type: translation |
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args: fra-isl |
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dataset: |
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name: flores200-devtest |
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type: flores200-devtest |
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args: fra-isl |
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metrics: |
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- name: BLEU |
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type: bleu |
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value: 18.8 |
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- name: chr-F |
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type: chrf |
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value: 0.48273 |
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- task: |
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name: Translation fra-nno |
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type: translation |
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args: fra-nno |
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dataset: |
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name: flores200-devtest |
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type: flores200-devtest |
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args: fra-nno |
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metrics: |
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- name: BLEU |
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type: bleu |
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value: 24.3 |
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- name: chr-F |
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type: chrf |
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value: 0.53032 |
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- task: |
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name: Translation fra-nob |
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type: translation |
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args: fra-nob |
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dataset: |
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name: flores200-devtest |
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type: flores200-devtest |
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args: fra-nob |
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metrics: |
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- name: BLEU |
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type: bleu |
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value: 25.0 |
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- name: chr-F |
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type: chrf |
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value: 0.54933 |
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- task: |
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name: Translation fra-swe |
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type: translation |
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args: fra-swe |
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dataset: |
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name: flores200-devtest |
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type: flores200-devtest |
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args: fra-swe |
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metrics: |
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- name: BLEU |
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type: bleu |
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value: 32.8 |
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- name: chr-F |
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type: chrf |
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value: 0.60612 |
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- task: |
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name: Translation por-dan |
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type: translation |
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args: por-dan |
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dataset: |
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name: flores200-devtest |
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type: flores200-devtest |
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args: por-dan |
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metrics: |
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- name: BLEU |
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type: bleu |
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value: 36.2 |
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- name: chr-F |
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type: chrf |
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value: 0.62221 |
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- task: |
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name: Translation por-fao |
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type: translation |
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args: por-fao |
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dataset: |
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name: flores200-devtest |
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type: flores200-devtest |
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args: por-fao |
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metrics: |
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- name: BLEU |
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type: bleu |
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value: 11.5 |
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- name: chr-F |
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type: chrf |
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value: 0.33159 |
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- task: |
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name: Translation por-isl |
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type: translation |
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args: por-isl |
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dataset: |
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name: flores200-devtest |
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type: flores200-devtest |
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args: por-isl |
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metrics: |
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- name: BLEU |
|
type: bleu |
|
value: 19.6 |
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- name: chr-F |
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type: chrf |
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value: 0.48357 |
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- task: |
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name: Translation por-nno |
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type: translation |
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args: por-nno |
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dataset: |
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name: flores200-devtest |
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type: flores200-devtest |
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args: por-nno |
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metrics: |
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- name: BLEU |
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type: bleu |
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value: 26.3 |
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- name: chr-F |
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type: chrf |
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value: 0.54369 |
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- task: |
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name: Translation por-nob |
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type: translation |
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args: por-nob |
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dataset: |
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name: flores200-devtest |
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type: flores200-devtest |
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args: por-nob |
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metrics: |
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- name: BLEU |
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type: bleu |
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value: 26.4 |
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- name: chr-F |
|
type: chrf |
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value: 0.56054 |
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- task: |
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name: Translation por-swe |
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type: translation |
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args: por-swe |
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dataset: |
|
name: flores200-devtest |
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type: flores200-devtest |
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args: por-swe |
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metrics: |
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- name: BLEU |
|
type: bleu |
|
value: 34.1 |
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- name: chr-F |
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type: chrf |
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value: 0.61388 |
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- task: |
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name: Translation spa-dan |
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type: translation |
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args: spa-dan |
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dataset: |
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name: flores200-devtest |
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type: flores200-devtest |
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args: spa-dan |
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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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- name: chr-F |
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type: chrf |
|
value: 0.55091 |
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- task: |
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name: Translation spa-isl |
|
type: translation |
|
args: spa-isl |
|
dataset: |
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name: flores200-devtest |
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type: flores200-devtest |
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args: spa-isl |
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metrics: |
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- 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 |
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type: flores200-devtest |
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args: spa-nno |
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metrics: |
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- 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: |
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- 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: |
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name: flores101-devtest |
|
type: flores_101 |
|
args: eng swe devtest |
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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: 34.0 |
|
- 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: 0.54890 |
|
- 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: 0.50610 |
|
- 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: 22.0 |
|
- 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: 0.38410 |
|
- 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: 34.0 |
|
- 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: 30.0 |
|
- 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: 23.0 |
|
- 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: 0.57790 |
|
- 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: 0.72650 |
|
- 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: 29.0 |
|
- 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: 0.72340 |
|
- 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: 0.73720 |
|
- 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: 58.0 |
|
- 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: 0.73310 |
|
- 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](#model-details) |
|
- [Uses](#uses) |
|
- [Risks, Limitations and Biases](#risks-limitations-and-biases) |
|
- [How to Get Started With the Model](#how-to-get-started-with-the-model) |
|
- [Training](#training) |
|
- [Evaluation](#evaluation) |
|
- [Citation Information](#citation-information) |
|
- [Acknowledgements](#acknowledgements) |
|
|
|
## Model Details |
|
|
|
Neural machine translation model for translating from unknown (deu+eng+fra+por+spa) to North Germanic languages (gmq). |
|
|
|
This model is part of the [OPUS-MT project](https://github.com/Helsinki-NLP/Opus-MT), an effort to make neural machine translation models widely available and accessible for many languages in the world. All models are originally trained using the amazing framework of [Marian NMT](https://marian-nmt.github.io/), an efficient NMT implementation written in pure C++. The models have been converted to pyTorch using the transformers library by huggingface. Training data is taken from [OPUS](https://opus.nlpl.eu/) and training pipelines use the procedures of [OPUS-MT-train](https://github.com/Helsinki-NLP/Opus-MT-train). |
|
**Model Description:** |
|
- **Developed by:** Language Technology Research Group at the University of Helsinki |
|
- **Model Type:** Translation (transformer-big) |
|
- **Release**: 2024-05-30 |
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- **License:** Apache-2.0 |
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- **Language(s):** |
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- Source Language(s): deu eng fra por spa |
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- Target Language(s): dan fao isl nno nob non nor swe |
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- Valid Target Language Labels: >>dan<< >>fao<< >>isl<< >>jut<< >>nno<< >>nob<< >>non<< >>nor<< >>nrn<< >>ovd<< >>rmg<< >>swe<< >>xxx<< |
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- **Original Model**: [opusTCv20230926max50+bt+jhubc_transformer-big_2024-05-30.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/deu+eng+fra+por+spa-gmq/opusTCv20230926max50+bt+jhubc_transformer-big_2024-05-30.zip) |
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- **Resources for more information:** |
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- [OPUS-MT dashboard](https://opus.nlpl.eu/dashboard/index.php?pkg=opusmt&test=all&scoreslang=all&chart=standard&model=Tatoeba-MT-models/deu%2Beng%2Bfra%2Bpor%2Bspa-gmq/opusTCv20230926max50%2Bbt%2Bjhubc_transformer-big_2024-05-30) |
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- [OPUS-MT-train GitHub Repo](https://github.com/Helsinki-NLP/OPUS-MT-train) |
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- [More information about MarianNMT models in the transformers library](https://huggingface.co/docs/transformers/model_doc/marian) |
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- [Tatoeba Translation Challenge](https://github.com/Helsinki-NLP/Tatoeba-Challenge/) |
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- [HPLT bilingual data v1 (as part of the Tatoeba Translation Challenge dataset)](https://hplt-project.org/datasets/v1) |
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- [A massively parallel Bible corpus](https://aclanthology.org/L14-1215/) |
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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<<` |
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## Uses |
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This model can be used for translation and text-to-text generation. |
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## Risks, Limitations and Biases |
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**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.** |
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Significant research has explored bias and fairness issues with language models (see, e.g., [Sheng et al. (2021)](https://aclanthology.org/2021.acl-long.330.pdf) and [Bender et al. (2021)](https://dl.acm.org/doi/pdf/10.1145/3442188.3445922)). |
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## How to Get Started With the Model |
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A short example code: |
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```python |
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from transformers import MarianMTModel, MarianTokenizer |
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src_text = [ |
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">>dan<< Replace this with text in an accepted source language.", |
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">>swe<< This is the second sentence." |
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] |
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model_name = "pytorch-models/opus-mt-tc-bible-big-deu_eng_fra_por_spa-gmq" |
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tokenizer = MarianTokenizer.from_pretrained(model_name) |
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model = MarianMTModel.from_pretrained(model_name) |
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translated = model.generate(**tokenizer(src_text, return_tensors="pt", padding=True)) |
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for t in translated: |
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print( tokenizer.decode(t, skip_special_tokens=True) ) |
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``` |
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You can also use OPUS-MT models with the transformers pipelines, for example: |
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```python |
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from transformers import pipeline |
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pipe = pipeline("translation", model="Helsinki-NLP/opus-mt-tc-bible-big-deu_eng_fra_por_spa-gmq") |
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print(pipe(">>dan<< Replace this with text in an accepted source language.")) |
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``` |
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## Training |
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- **Data**: opusTCv20230926max50+bt+jhubc ([source](https://github.com/Helsinki-NLP/Tatoeba-Challenge)) |
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- **Pre-processing**: SentencePiece (spm32k,spm32k) |
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- **Model Type:** transformer-big |
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- **Original MarianNMT Model**: [opusTCv20230926max50+bt+jhubc_transformer-big_2024-05-30.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/deu+eng+fra+por+spa-gmq/opusTCv20230926max50+bt+jhubc_transformer-big_2024-05-30.zip) |
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- **Training Scripts**: [GitHub Repo](https://github.com/Helsinki-NLP/OPUS-MT-train) |
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## Evaluation |
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* [Model scores at the OPUS-MT dashboard](https://opus.nlpl.eu/dashboard/index.php?pkg=opusmt&test=all&scoreslang=all&chart=standard&model=Tatoeba-MT-models/deu%2Beng%2Bfra%2Bpor%2Bspa-gmq/opusTCv20230926max50%2Bbt%2Bjhubc_transformer-big_2024-05-30) |
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* test set translations: [opusTCv20230926max50+bt+jhubc_transformer-big_2024-05-29.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/deu+eng+fra+por+spa-gmq/opusTCv20230926max50+bt+jhubc_transformer-big_2024-05-29.test.txt) |
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* test set scores: [opusTCv20230926max50+bt+jhubc_transformer-big_2024-05-29.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/deu+eng+fra+por+spa-gmq/opusTCv20230926max50+bt+jhubc_transformer-big_2024-05-29.eval.txt) |
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* benchmark results: [benchmark_results.txt](benchmark_results.txt) |
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* benchmark output: [benchmark_translations.zip](benchmark_translations.zip) |
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| langpair | testset | chr-F | BLEU | #sent | #words | |
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|----------|---------|-------|-------|-------|--------| |
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| deu-dan | tatoeba-test-v2021-08-07 | 0.74051 | 57.8 | 9998 | 74644 | |
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| deu-isl | tatoeba-test-v2021-08-07 | 0.61256 | 31.7 | 969 | 5951 | |
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| deu-nob | tatoeba-test-v2021-08-07 | 0.71413 | 52.9 | 3525 | 31978 | |
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| deu-nor | tatoeba-test-v2021-08-07 | 0.71253 | 52.7 | 3651 | 32928 | |
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| deu-swe | tatoeba-test-v2021-08-07 | 0.72650 | 58.2 | 3410 | 22701 | |
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| eng-dan | tatoeba-test-v2021-08-07 | 0.74708 | 60.6 | 10795 | 79385 | |
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| eng-fao | tatoeba-test-v2021-08-07 | 0.48304 | 29.0 | 294 | 1933 | |
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| eng-isl | tatoeba-test-v2021-08-07 | 0.58312 | 33.2 | 2503 | 19023 | |
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| eng-nno | tatoeba-test-v2021-08-07 | 0.62606 | 42.7 | 460 | 3428 | |
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| eng-nob | tatoeba-test-v2021-08-07 | 0.72340 | 57.4 | 4539 | 36119 | |
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| eng-nor | tatoeba-test-v2021-08-07 | 0.71514 | 56.2 | 5000 | 39552 | |
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| eng-swe | tatoeba-test-v2021-08-07 | 0.73720 | 60.5 | 10362 | 68067 | |
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| fra-dan | tatoeba-test-v2021-08-07 | 0.78018 | 64.1 | 1731 | 11312 | |
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| fra-nob | tatoeba-test-v2021-08-07 | 0.74252 | 59.1 | 323 | 2175 | |
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| fra-nor | tatoeba-test-v2021-08-07 | 0.74407 | 60.3 | 477 | 3097 | |
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| fra-swe | tatoeba-test-v2021-08-07 | 0.75644 | 62.1 | 1407 | 9170 | |
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| por-dan | tatoeba-test-v2021-08-07 | 0.79528 | 65.6 | 873 | 5258 | |
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| por-nor | tatoeba-test-v2021-08-07 | 0.73559 | 58.0 | 481 | 4030 | |
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| por-swe | tatoeba-test-v2021-08-07 | 0.75566 | 60.2 | 320 | 1938 | |
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| spa-dan | tatoeba-test-v2021-08-07 | 0.73310 | 57.7 | 5000 | 35937 | |
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| spa-isl | tatoeba-test-v2021-08-07 | 0.52169 | 18.7 | 238 | 1220 | |
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| spa-nob | tatoeba-test-v2021-08-07 | 0.76501 | 60.9 | 885 | 6762 | |
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| spa-nor | tatoeba-test-v2021-08-07 | 0.75815 | 60.1 | 960 | 7217 | |
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| spa-swe | tatoeba-test-v2021-08-07 | 0.74222 | 60.7 | 1351 | 8357 | |
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| deu-dan | flores101-devtest | 0.62006 | 34.8 | 1012 | 24638 | |
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| deu-isl | flores101-devtest | 0.48236 | 18.8 | 1012 | 22834 | |
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| deu-swe | flores101-devtest | 0.61778 | 33.7 | 1012 | 23121 | |
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| eng-swe | flores101-devtest | 0.69435 | 45.5 | 1012 | 23121 | |
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| fra-dan | flores101-devtest | 0.61019 | 34.0 | 1012 | 24638 | |
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| fra-isl | flores101-devtest | 0.47647 | 18.1 | 1012 | 22834 | |
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| fra-swe | flores101-devtest | 0.60354 | 32.2 | 1012 | 23121 | |
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| por-isl | flores101-devtest | 0.47937 | 19.1 | 1012 | 22834 | |
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| por-swe | flores101-devtest | 0.60857 | 33.1 | 1012 | 23121 | |
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| spa-dan | flores101-devtest | 0.54890 | 24.4 | 1012 | 24638 | |
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| spa-nob | flores101-devtest | 0.50610 | 18.3 | 1012 | 23873 | |
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| spa-swe | flores101-devtest | 0.54011 | 22.4 | 1012 | 23121 | |
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| deu-dan | flores200-devtest | 0.62152 | 35.1 | 1012 | 24638 | |
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| deu-isl | flores200-devtest | 0.48648 | 19.1 | 1012 | 22834 | |
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| deu-nno | flores200-devtest | 0.53530 | 24.0 | 1012 | 24316 | |
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| deu-nob | flores200-devtest | 0.55748 | 25.1 | 1012 | 23873 | |
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| deu-swe | flores200-devtest | 0.62138 | 34.2 | 1012 | 23121 | |
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| eng-dan | flores200-devtest | 0.70321 | 47.0 | 1012 | 24638 | |
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| eng-isl | flores200-devtest | 0.52585 | 24.4 | 1012 | 22834 | |
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| eng-nno | flores200-devtest | 0.61372 | 33.8 | 1012 | 24316 | |
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| eng-nob | flores200-devtest | 0.62508 | 34.4 | 1012 | 23873 | |
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| eng-swe | flores200-devtest | 0.69703 | 46.0 | 1012 | 23121 | |
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| fra-dan | flores200-devtest | 0.61025 | 34.1 | 1012 | 24638 | |
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| fra-isl | flores200-devtest | 0.48273 | 18.8 | 1012 | 22834 | |
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| fra-nno | flores200-devtest | 0.53032 | 24.3 | 1012 | 24316 | |
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| fra-nob | flores200-devtest | 0.54933 | 25.0 | 1012 | 23873 | |
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| fra-swe | flores200-devtest | 0.60612 | 32.8 | 1012 | 23121 | |
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| por-dan | flores200-devtest | 0.62221 | 36.2 | 1012 | 24638 | |
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| por-isl | flores200-devtest | 0.48357 | 19.6 | 1012 | 22834 | |
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| por-nno | flores200-devtest | 0.54369 | 26.3 | 1012 | 24316 | |
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| por-nob | flores200-devtest | 0.56054 | 26.4 | 1012 | 23873 | |
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| por-swe | flores200-devtest | 0.61388 | 34.1 | 1012 | 23121 | |
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| spa-dan | flores200-devtest | 0.55091 | 24.7 | 1012 | 24638 | |
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| spa-isl | flores200-devtest | 0.44469 | 14.2 | 1012 | 22834 | |
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| spa-nno | flores200-devtest | 0.48898 | 18.6 | 1012 | 24316 | |
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| spa-nob | flores200-devtest | 0.50901 | 18.8 | 1012 | 23873 | |
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| spa-swe | flores200-devtest | 0.54182 | 22.7 | 1012 | 23121 | |
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| eng-isl | newstest2021 | 0.51196 | 21.9 | 1000 | 25233 | |
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| deu-dan | ntrex128 | 0.56412 | 29.1 | 1997 | 47643 | |
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| deu-isl | ntrex128 | 0.48309 | 18.8 | 1997 | 46643 | |
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| deu-nno | ntrex128 | 0.51535 | 22.0 | 1997 | 46512 | |
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| deu-nob | ntrex128 | 0.56152 | 27.6 | 1997 | 45501 | |
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| deu-swe | ntrex128 | 0.58061 | 29.6 | 1997 | 44889 | |
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| eng-dan | ntrex128 | 0.61894 | 37.6 | 1997 | 47643 | |
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| eng-isl | ntrex128 | 0.52027 | 23.9 | 1997 | 46643 | |
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| eng-nno | ntrex128 | 0.60754 | 34.0 | 1997 | 46512 | |
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| eng-nob | ntrex128 | 0.62327 | 36.9 | 1997 | 45501 | |
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| eng-swe | ntrex128 | 0.66129 | 41.3 | 1997 | 44889 | |
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| fra-dan | ntrex128 | 0.54102 | 27.1 | 1997 | 47643 | |
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| fra-isl | ntrex128 | 0.47296 | 18.4 | 1997 | 46643 | |
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| fra-nno | ntrex128 | 0.50532 | 21.6 | 1997 | 46512 | |
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| fra-nob | ntrex128 | 0.54026 | 25.7 | 1997 | 45501 | |
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| fra-swe | ntrex128 | 0.56278 | 27.9 | 1997 | 44889 | |
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| por-dan | ntrex128 | 0.56288 | 30.0 | 1997 | 47643 | |
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| por-isl | ntrex128 | 0.47577 | 17.8 | 1997 | 46643 | |
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| por-nno | ntrex128 | 0.52158 | 23.0 | 1997 | 46512 | |
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| por-nob | ntrex128 | 0.55788 | 27.4 | 1997 | 45501 | |
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| por-swe | ntrex128 | 0.57790 | 29.3 | 1997 | 44889 | |
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| spa-dan | ntrex128 | 0.55607 | 27.5 | 1997 | 47643 | |
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| spa-isl | ntrex128 | 0.48566 | 18.4 | 1997 | 46643 | |
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| spa-nno | ntrex128 | 0.51741 | 22.2 | 1997 | 46512 | |
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| spa-nob | ntrex128 | 0.55824 | 26.8 | 1997 | 45501 | |
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| spa-swe | ntrex128 | 0.57851 | 28.8 | 1997 | 44889 | |
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## Citation Information |
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* Publications: [Democratizing neural machine translation with OPUS-MT](https://doi.org/10.1007/s10579-023-09704-w) and [OPUS-MT – Building open translation services for the World](https://aclanthology.org/2020.eamt-1.61/) and [The Tatoeba Translation Challenge – Realistic Data Sets for Low Resource and Multilingual MT](https://aclanthology.org/2020.wmt-1.139/) (Please, cite if you use this model.) |
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```bibtex |
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@article{tiedemann2023democratizing, |
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title={Democratizing neural machine translation with {OPUS-MT}}, |
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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}, |
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journal={Language Resources and Evaluation}, |
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number={58}, |
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pages={713--755}, |
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year={2023}, |
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publisher={Springer Nature}, |
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issn={1574-0218}, |
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doi={10.1007/s10579-023-09704-w} |
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} |
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@inproceedings{tiedemann-thottingal-2020-opus, |
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title = "{OPUS}-{MT} {--} Building open translation services for the World", |
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author = {Tiedemann, J{\"o}rg and Thottingal, Santhosh}, |
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booktitle = "Proceedings of the 22nd Annual Conference of the European Association for Machine Translation", |
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month = nov, |
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year = "2020", |
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address = "Lisboa, Portugal", |
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publisher = "European Association for Machine Translation", |
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url = "https://aclanthology.org/2020.eamt-1.61", |
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pages = "479--480", |
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} |
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@inproceedings{tiedemann-2020-tatoeba, |
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title = "The Tatoeba Translation Challenge {--} Realistic Data Sets for Low Resource and Multilingual {MT}", |
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author = {Tiedemann, J{\"o}rg}, |
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booktitle = "Proceedings of the Fifth Conference on Machine Translation", |
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month = nov, |
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year = "2020", |
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address = "Online", |
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publisher = "Association for Computational Linguistics", |
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url = "https://aclanthology.org/2020.wmt-1.139", |
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pages = "1174--1182", |
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} |
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``` |
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## Acknowledgements |
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The work is supported by the [HPLT project](https://hplt-project.org/), funded by the European Union’s Horizon Europe research and innovation programme under grant agreement No 101070350. We are also grateful for the generous computational resources and IT infrastructure provided by [CSC -- IT Center for Science](https://www.csc.fi/), Finland, and the [EuroHPC supercomputer LUMI](https://www.lumi-supercomputer.eu/). |
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## Model conversion info |
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* transformers version: 4.45.1 |
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* OPUS-MT git hash: 0882077 |
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* port time: Tue Oct 8 10:03:29 EEST 2024 |
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* port machine: LM0-400-22516.local |
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