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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-gmq-deu_eng_fra_por_spa |
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results: |
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- task: |
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name: Translation dan-deu |
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type: translation |
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args: dan-deu |
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dataset: |
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name: flores200-devtest |
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type: flores200-devtest |
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args: dan-deu |
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metrics: |
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- name: BLEU |
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type: bleu |
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value: 32.3 |
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- name: chr-F |
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type: chrf |
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value: 0.60897 |
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- task: |
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name: Translation dan-eng |
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type: translation |
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args: dan-eng |
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dataset: |
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name: flores200-devtest |
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type: flores200-devtest |
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args: dan-eng |
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metrics: |
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- name: BLEU |
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type: bleu |
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value: 48.2 |
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- name: chr-F |
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type: chrf |
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value: 0.71641 |
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- task: |
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name: Translation dan-fra |
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type: translation |
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args: dan-fra |
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dataset: |
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name: flores200-devtest |
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type: flores200-devtest |
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args: dan-fra |
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metrics: |
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- name: BLEU |
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type: bleu |
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value: 38.9 |
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- name: chr-F |
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type: chrf |
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value: 0.63777 |
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- task: |
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name: Translation dan-por |
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type: translation |
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args: dan-por |
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dataset: |
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name: flores200-devtest |
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type: flores200-devtest |
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args: dan-por |
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metrics: |
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- name: BLEU |
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type: bleu |
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value: 36.7 |
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- name: chr-F |
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type: chrf |
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value: 0.62302 |
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- task: |
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name: Translation dan-spa |
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type: translation |
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args: dan-spa |
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dataset: |
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name: flores200-devtest |
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type: flores200-devtest |
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args: dan-spa |
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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: 0.52803 |
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- task: |
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name: Translation fao-deu |
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type: translation |
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args: fao-deu |
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dataset: |
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name: flores200-devtest |
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type: flores200-devtest |
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args: fao-deu |
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metrics: |
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- name: BLEU |
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type: bleu |
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value: 16.0 |
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- name: chr-F |
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type: chrf |
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value: 0.41184 |
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- task: |
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name: Translation fao-eng |
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type: translation |
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args: fao-eng |
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dataset: |
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name: flores200-devtest |
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type: flores200-devtest |
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args: fao-eng |
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metrics: |
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- name: BLEU |
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type: bleu |
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value: 21.2 |
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- name: chr-F |
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type: chrf |
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value: 0.43308 |
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- task: |
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name: Translation fao-fra |
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type: translation |
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args: fao-fra |
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dataset: |
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name: flores200-devtest |
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type: flores200-devtest |
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args: fao-fra |
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metrics: |
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- name: BLEU |
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type: bleu |
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value: 16.7 |
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- name: chr-F |
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type: chrf |
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value: 0.39253 |
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- task: |
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name: Translation fao-por |
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type: translation |
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args: fao-por |
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dataset: |
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name: flores200-devtest |
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type: flores200-devtest |
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args: fao-por |
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metrics: |
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- name: BLEU |
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type: bleu |
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value: 19.0 |
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- name: chr-F |
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type: chrf |
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value: 0.42649 |
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- task: |
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name: Translation fao-spa |
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type: translation |
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args: fao-spa |
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dataset: |
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name: flores200-devtest |
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type: flores200-devtest |
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args: fao-spa |
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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: 0.38131 |
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- task: |
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name: Translation isl-deu |
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type: translation |
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args: isl-deu |
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dataset: |
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name: flores200-devtest |
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type: flores200-devtest |
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args: isl-deu |
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metrics: |
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- name: BLEU |
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type: bleu |
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value: 22.7 |
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- name: chr-F |
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type: chrf |
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value: 0.51165 |
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- task: |
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name: Translation isl-eng |
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type: translation |
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args: isl-eng |
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dataset: |
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name: flores200-devtest |
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type: flores200-devtest |
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args: isl-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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- name: chr-F |
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type: chrf |
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value: 0.57745 |
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- task: |
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name: Translation isl-fra |
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type: translation |
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args: isl-fra |
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dataset: |
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name: flores200-devtest |
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type: flores200-devtest |
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args: isl-fra |
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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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- name: chr-F |
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type: chrf |
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value: 0.54210 |
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- task: |
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name: Translation isl-por |
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type: translation |
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args: isl-por |
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dataset: |
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name: flores200-devtest |
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type: flores200-devtest |
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args: isl-por |
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metrics: |
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- name: BLEU |
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type: bleu |
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value: 26.1 |
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- name: chr-F |
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type: chrf |
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value: 0.52479 |
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- task: |
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name: Translation isl-spa |
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type: translation |
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args: isl-spa |
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dataset: |
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name: flores200-devtest |
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type: flores200-devtest |
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args: isl-spa |
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metrics: |
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- name: BLEU |
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type: bleu |
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value: 19.2 |
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- name: chr-F |
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type: chrf |
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value: 0.46837 |
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- task: |
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name: Translation nno-deu |
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type: translation |
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args: nno-deu |
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dataset: |
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name: flores200-devtest |
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type: flores200-devtest |
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args: nno-deu |
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metrics: |
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- name: BLEU |
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type: bleu |
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value: 29.2 |
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- name: chr-F |
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type: chrf |
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value: 0.58054 |
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- task: |
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name: Translation nno-eng |
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type: translation |
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args: nno-eng |
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dataset: |
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name: flores200-devtest |
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type: flores200-devtest |
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args: nno-eng |
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metrics: |
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- name: BLEU |
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type: bleu |
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value: 45.0 |
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- name: chr-F |
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type: chrf |
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value: 0.69114 |
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- task: |
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name: Translation nno-fra |
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type: translation |
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args: nno-fra |
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dataset: |
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name: flores200-devtest |
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type: flores200-devtest |
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args: nno-fra |
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metrics: |
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- name: BLEU |
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type: bleu |
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value: 36.0 |
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- name: chr-F |
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type: chrf |
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value: 0.61334 |
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- task: |
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name: Translation nno-por |
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type: translation |
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args: nno-por |
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dataset: |
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name: flores200-devtest |
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type: flores200-devtest |
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args: nno-por |
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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: 0.60055 |
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- task: |
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name: Translation nno-spa |
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type: translation |
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args: nno-spa |
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dataset: |
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name: flores200-devtest |
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type: flores200-devtest |
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args: nno-spa |
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metrics: |
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- name: BLEU |
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type: bleu |
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value: 22.8 |
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- name: chr-F |
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type: chrf |
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value: 0.51190 |
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- task: |
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name: Translation nob-deu |
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type: translation |
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args: nob-deu |
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dataset: |
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name: flores200-devtest |
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type: flores200-devtest |
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args: nob-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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- name: chr-F |
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type: chrf |
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value: 0.57023 |
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- task: |
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name: Translation nob-eng |
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type: translation |
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args: nob-eng |
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dataset: |
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name: flores200-devtest |
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type: flores200-devtest |
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args: nob-eng |
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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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- name: chr-F |
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type: chrf |
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value: 0.67540 |
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- task: |
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name: Translation nob-fra |
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type: translation |
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args: nob-fra |
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dataset: |
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name: flores200-devtest |
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type: flores200-devtest |
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args: nob-fra |
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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: 0.60568 |
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- task: |
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name: Translation nob-por |
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type: translation |
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args: nob-por |
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dataset: |
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name: flores200-devtest |
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type: flores200-devtest |
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args: nob-por |
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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: 0.59466 |
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- task: |
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name: Translation nob-spa |
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type: translation |
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args: nob-spa |
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dataset: |
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name: flores200-devtest |
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type: flores200-devtest |
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args: nob-spa |
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metrics: |
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- name: BLEU |
|
type: bleu |
|
value: 22.4 |
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- name: chr-F |
|
type: chrf |
|
value: 0.51138 |
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- task: |
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name: Translation swe-deu |
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type: translation |
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args: swe-deu |
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dataset: |
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name: flores200-devtest |
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type: flores200-devtest |
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args: swe-deu |
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metrics: |
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- name: BLEU |
|
type: bleu |
|
value: 32.6 |
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- name: chr-F |
|
type: chrf |
|
value: 0.60630 |
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- task: |
|
name: Translation swe-eng |
|
type: translation |
|
args: swe-eng |
|
dataset: |
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name: flores200-devtest |
|
type: flores200-devtest |
|
args: swe-eng |
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metrics: |
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- name: BLEU |
|
type: bleu |
|
value: 48.1 |
|
- name: chr-F |
|
type: chrf |
|
value: 0.70584 |
|
- task: |
|
name: Translation swe-fra |
|
type: translation |
|
args: swe-fra |
|
dataset: |
|
name: flores200-devtest |
|
type: flores200-devtest |
|
args: swe-fra |
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metrics: |
|
- name: BLEU |
|
type: bleu |
|
value: 39.1 |
|
- name: chr-F |
|
type: chrf |
|
value: 0.63608 |
|
- task: |
|
name: Translation swe-por |
|
type: translation |
|
args: swe-por |
|
dataset: |
|
name: flores200-devtest |
|
type: flores200-devtest |
|
args: swe-por |
|
metrics: |
|
- name: BLEU |
|
type: bleu |
|
value: 36.4 |
|
- name: chr-F |
|
type: chrf |
|
value: 0.62046 |
|
- task: |
|
name: Translation swe-spa |
|
type: translation |
|
args: swe-spa |
|
dataset: |
|
name: flores200-devtest |
|
type: flores200-devtest |
|
args: swe-spa |
|
metrics: |
|
- name: BLEU |
|
type: bleu |
|
value: 23.9 |
|
- name: chr-F |
|
type: chrf |
|
value: 0.52328 |
|
- task: |
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name: Translation dan-eng |
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type: translation |
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args: dan-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: dan eng devtest |
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metrics: |
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- name: BLEU |
|
type: bleu |
|
value: 47.6 |
|
- name: chr-F |
|
type: chrf |
|
value: 0.71193 |
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- task: |
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name: Translation dan-fra |
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type: translation |
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args: dan-fra |
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dataset: |
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name: flores101-devtest |
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type: flores_101 |
|
args: dan fra devtest |
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metrics: |
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- name: BLEU |
|
type: bleu |
|
value: 38.1 |
|
- name: chr-F |
|
type: chrf |
|
value: 0.63349 |
|
- task: |
|
name: Translation dan-por |
|
type: translation |
|
args: dan-por |
|
dataset: |
|
name: flores101-devtest |
|
type: flores_101 |
|
args: dan por devtest |
|
metrics: |
|
- name: BLEU |
|
type: bleu |
|
value: 36.2 |
|
- name: chr-F |
|
type: chrf |
|
value: 0.62063 |
|
- task: |
|
name: Translation dan-spa |
|
type: translation |
|
args: dan-spa |
|
dataset: |
|
name: flores101-devtest |
|
type: flores_101 |
|
args: dan spa devtest |
|
metrics: |
|
- name: BLEU |
|
type: bleu |
|
value: 24.2 |
|
- name: chr-F |
|
type: chrf |
|
value: 0.52557 |
|
- task: |
|
name: Translation isl-deu |
|
type: translation |
|
args: isl-deu |
|
dataset: |
|
name: flores101-devtest |
|
type: flores_101 |
|
args: isl deu devtest |
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metrics: |
|
- name: BLEU |
|
type: bleu |
|
value: 22.2 |
|
- name: chr-F |
|
type: chrf |
|
value: 0.50581 |
|
- task: |
|
name: Translation isl-eng |
|
type: translation |
|
args: isl-eng |
|
dataset: |
|
name: flores101-devtest |
|
type: flores_101 |
|
args: isl eng devtest |
|
metrics: |
|
- name: BLEU |
|
type: bleu |
|
value: 31.6 |
|
- name: chr-F |
|
type: chrf |
|
value: 0.57294 |
|
- task: |
|
name: Translation isl-por |
|
type: translation |
|
args: isl-por |
|
dataset: |
|
name: flores101-devtest |
|
type: flores_101 |
|
args: isl por devtest |
|
metrics: |
|
- name: BLEU |
|
type: bleu |
|
value: 25.8 |
|
- name: chr-F |
|
type: chrf |
|
value: 0.52192 |
|
- task: |
|
name: Translation isl-spa |
|
type: translation |
|
args: isl-spa |
|
dataset: |
|
name: flores101-devtest |
|
type: flores_101 |
|
args: isl spa devtest |
|
metrics: |
|
- name: BLEU |
|
type: bleu |
|
value: 18.5 |
|
- name: chr-F |
|
type: chrf |
|
value: 0.46364 |
|
- task: |
|
name: Translation nob-eng |
|
type: translation |
|
args: nob-eng |
|
dataset: |
|
name: flores101-devtest |
|
type: flores_101 |
|
args: nob eng devtest |
|
metrics: |
|
- name: BLEU |
|
type: bleu |
|
value: 42.6 |
|
- name: chr-F |
|
type: chrf |
|
value: 0.67120 |
|
- task: |
|
name: Translation nob-fra |
|
type: translation |
|
args: nob-fra |
|
dataset: |
|
name: flores101-devtest |
|
type: flores_101 |
|
args: nob fra devtest |
|
metrics: |
|
- name: BLEU |
|
type: bleu |
|
value: 33.9 |
|
- name: chr-F |
|
type: chrf |
|
value: 0.60289 |
|
- task: |
|
name: Translation nob-spa |
|
type: translation |
|
args: nob-spa |
|
dataset: |
|
name: flores101-devtest |
|
type: flores_101 |
|
args: nob spa devtest |
|
metrics: |
|
- name: BLEU |
|
type: bleu |
|
value: 21.9 |
|
- name: chr-F |
|
type: chrf |
|
value: 0.50848 |
|
- task: |
|
name: Translation swe-deu |
|
type: translation |
|
args: swe-deu |
|
dataset: |
|
name: flores101-devtest |
|
type: flores_101 |
|
args: swe deu devtest |
|
metrics: |
|
- name: BLEU |
|
type: bleu |
|
value: 32.2 |
|
- name: chr-F |
|
type: chrf |
|
value: 0.60306 |
|
- task: |
|
name: Translation swe-eng |
|
type: translation |
|
args: swe-eng |
|
dataset: |
|
name: flores101-devtest |
|
type: flores_101 |
|
args: swe eng devtest |
|
metrics: |
|
- name: BLEU |
|
type: bleu |
|
value: 47.9 |
|
- name: chr-F |
|
type: chrf |
|
value: 0.70404 |
|
- task: |
|
name: Translation swe-por |
|
type: translation |
|
args: swe-por |
|
dataset: |
|
name: flores101-devtest |
|
type: flores_101 |
|
args: swe por devtest |
|
metrics: |
|
- name: BLEU |
|
type: bleu |
|
value: 35.7 |
|
- name: chr-F |
|
type: chrf |
|
value: 0.61418 |
|
- task: |
|
name: Translation dan-deu |
|
type: translation |
|
args: dan-deu |
|
dataset: |
|
name: ntrex128 |
|
type: ntrex128 |
|
args: dan-deu |
|
metrics: |
|
- name: BLEU |
|
type: bleu |
|
value: 25.3 |
|
- name: chr-F |
|
type: chrf |
|
value: 0.54229 |
|
- task: |
|
name: Translation dan-eng |
|
type: translation |
|
args: dan-eng |
|
dataset: |
|
name: ntrex128 |
|
type: ntrex128 |
|
args: dan-eng |
|
metrics: |
|
- name: BLEU |
|
type: bleu |
|
value: 38.7 |
|
- name: chr-F |
|
type: chrf |
|
value: 0.63083 |
|
- task: |
|
name: Translation dan-fra |
|
type: translation |
|
args: dan-fra |
|
dataset: |
|
name: ntrex128 |
|
type: ntrex128 |
|
args: dan-fra |
|
metrics: |
|
- name: BLEU |
|
type: bleu |
|
value: 26.2 |
|
- name: chr-F |
|
type: chrf |
|
value: 0.54088 |
|
- task: |
|
name: Translation dan-por |
|
type: translation |
|
args: dan-por |
|
dataset: |
|
name: ntrex128 |
|
type: ntrex128 |
|
args: dan-por |
|
metrics: |
|
- name: BLEU |
|
type: bleu |
|
value: 27.0 |
|
- name: chr-F |
|
type: chrf |
|
value: 0.53626 |
|
- task: |
|
name: Translation dan-spa |
|
type: translation |
|
args: dan-spa |
|
dataset: |
|
name: ntrex128 |
|
type: ntrex128 |
|
args: dan-spa |
|
metrics: |
|
- name: BLEU |
|
type: bleu |
|
value: 30.8 |
|
- name: chr-F |
|
type: chrf |
|
value: 0.56217 |
|
- task: |
|
name: Translation fao-deu |
|
type: translation |
|
args: fao-deu |
|
dataset: |
|
name: ntrex128 |
|
type: ntrex128 |
|
args: fao-deu |
|
metrics: |
|
- name: BLEU |
|
type: bleu |
|
value: 16.4 |
|
- name: chr-F |
|
type: chrf |
|
value: 0.41701 |
|
- task: |
|
name: Translation fao-eng |
|
type: translation |
|
args: fao-eng |
|
dataset: |
|
name: ntrex128 |
|
type: ntrex128 |
|
args: fao-eng |
|
metrics: |
|
- name: BLEU |
|
type: bleu |
|
value: 25.3 |
|
- name: chr-F |
|
type: chrf |
|
value: 0.47105 |
|
- task: |
|
name: Translation fao-fra |
|
type: translation |
|
args: fao-fra |
|
dataset: |
|
name: ntrex128 |
|
type: ntrex128 |
|
args: fao-fra |
|
metrics: |
|
- name: BLEU |
|
type: bleu |
|
value: 16.3 |
|
- name: chr-F |
|
type: chrf |
|
value: 0.40070 |
|
- task: |
|
name: Translation fao-por |
|
type: translation |
|
args: fao-por |
|
dataset: |
|
name: ntrex128 |
|
type: ntrex128 |
|
args: fao-por |
|
metrics: |
|
- name: BLEU |
|
type: bleu |
|
value: 18.0 |
|
- name: chr-F |
|
type: chrf |
|
value: 0.42005 |
|
- task: |
|
name: Translation fao-spa |
|
type: translation |
|
args: fao-spa |
|
dataset: |
|
name: ntrex128 |
|
type: ntrex128 |
|
args: fao-spa |
|
metrics: |
|
- name: BLEU |
|
type: bleu |
|
value: 20.5 |
|
- name: chr-F |
|
type: chrf |
|
value: 0.44085 |
|
- task: |
|
name: Translation isl-deu |
|
type: translation |
|
args: isl-deu |
|
dataset: |
|
name: ntrex128 |
|
type: ntrex128 |
|
args: isl-deu |
|
metrics: |
|
- name: BLEU |
|
type: bleu |
|
value: 20.5 |
|
- name: chr-F |
|
type: chrf |
|
value: 0.49932 |
|
- task: |
|
name: Translation isl-eng |
|
type: translation |
|
args: isl-eng |
|
dataset: |
|
name: ntrex128 |
|
type: ntrex128 |
|
args: isl-eng |
|
metrics: |
|
- name: BLEU |
|
type: bleu |
|
value: 29.7 |
|
- name: chr-F |
|
type: chrf |
|
value: 0.56856 |
|
- task: |
|
name: Translation isl-fra |
|
type: translation |
|
args: isl-fra |
|
dataset: |
|
name: ntrex128 |
|
type: ntrex128 |
|
args: isl-fra |
|
metrics: |
|
- name: BLEU |
|
type: bleu |
|
value: 24.6 |
|
- name: chr-F |
|
type: chrf |
|
value: 0.51998 |
|
- task: |
|
name: Translation isl-por |
|
type: translation |
|
args: isl-por |
|
dataset: |
|
name: ntrex128 |
|
type: ntrex128 |
|
args: isl-por |
|
metrics: |
|
- name: BLEU |
|
type: bleu |
|
value: 21.7 |
|
- name: chr-F |
|
type: chrf |
|
value: 0.49903 |
|
- task: |
|
name: Translation isl-spa |
|
type: translation |
|
args: isl-spa |
|
dataset: |
|
name: ntrex128 |
|
type: ntrex128 |
|
args: isl-spa |
|
metrics: |
|
- name: BLEU |
|
type: bleu |
|
value: 27.1 |
|
- name: chr-F |
|
type: chrf |
|
value: 0.53171 |
|
- task: |
|
name: Translation nno-deu |
|
type: translation |
|
args: nno-deu |
|
dataset: |
|
name: ntrex128 |
|
type: ntrex128 |
|
args: nno-deu |
|
metrics: |
|
- name: BLEU |
|
type: bleu |
|
value: 24.4 |
|
- name: chr-F |
|
type: chrf |
|
value: 0.53000 |
|
- task: |
|
name: Translation nno-eng |
|
type: translation |
|
args: nno-eng |
|
dataset: |
|
name: ntrex128 |
|
type: ntrex128 |
|
args: nno-eng |
|
metrics: |
|
- name: BLEU |
|
type: bleu |
|
value: 42.9 |
|
- name: chr-F |
|
type: chrf |
|
value: 0.65866 |
|
- task: |
|
name: Translation nno-fra |
|
type: translation |
|
args: nno-fra |
|
dataset: |
|
name: ntrex128 |
|
type: ntrex128 |
|
args: nno-fra |
|
metrics: |
|
- name: BLEU |
|
type: bleu |
|
value: 27.5 |
|
- name: chr-F |
|
type: chrf |
|
value: 0.54339 |
|
- task: |
|
name: Translation nno-por |
|
type: translation |
|
args: nno-por |
|
dataset: |
|
name: ntrex128 |
|
type: ntrex128 |
|
args: nno-por |
|
metrics: |
|
- name: BLEU |
|
type: bleu |
|
value: 26.3 |
|
- name: chr-F |
|
type: chrf |
|
value: 0.53242 |
|
- task: |
|
name: Translation nno-spa |
|
type: translation |
|
args: nno-spa |
|
dataset: |
|
name: ntrex128 |
|
type: ntrex128 |
|
args: nno-spa |
|
metrics: |
|
- name: BLEU |
|
type: bleu |
|
value: 30.4 |
|
- name: chr-F |
|
type: chrf |
|
value: 0.55889 |
|
- task: |
|
name: Translation nob-deu |
|
type: translation |
|
args: nob-deu |
|
dataset: |
|
name: ntrex128 |
|
type: ntrex128 |
|
args: nob-deu |
|
metrics: |
|
- name: BLEU |
|
type: bleu |
|
value: 26.8 |
|
- name: chr-F |
|
type: chrf |
|
value: 0.55549 |
|
- task: |
|
name: Translation nob-eng |
|
type: translation |
|
args: nob-eng |
|
dataset: |
|
name: ntrex128 |
|
type: ntrex128 |
|
args: nob-eng |
|
metrics: |
|
- name: BLEU |
|
type: bleu |
|
value: 40.9 |
|
- name: chr-F |
|
type: chrf |
|
value: 0.65580 |
|
- task: |
|
name: Translation nob-fra |
|
type: translation |
|
args: nob-fra |
|
dataset: |
|
name: ntrex128 |
|
type: ntrex128 |
|
args: nob-fra |
|
metrics: |
|
- name: BLEU |
|
type: bleu |
|
value: 29.2 |
|
- name: chr-F |
|
type: chrf |
|
value: 0.56187 |
|
- task: |
|
name: Translation nob-por |
|
type: translation |
|
args: nob-por |
|
dataset: |
|
name: ntrex128 |
|
type: ntrex128 |
|
args: nob-por |
|
metrics: |
|
- name: BLEU |
|
type: bleu |
|
value: 26.6 |
|
- name: chr-F |
|
type: chrf |
|
value: 0.54392 |
|
- task: |
|
name: Translation nob-spa |
|
type: translation |
|
args: nob-spa |
|
dataset: |
|
name: ntrex128 |
|
type: ntrex128 |
|
args: nob-spa |
|
metrics: |
|
- name: BLEU |
|
type: bleu |
|
value: 32.6 |
|
- name: chr-F |
|
type: chrf |
|
value: 0.57998 |
|
- task: |
|
name: Translation swe-deu |
|
type: translation |
|
args: swe-deu |
|
dataset: |
|
name: ntrex128 |
|
type: ntrex128 |
|
args: swe-deu |
|
metrics: |
|
- name: BLEU |
|
type: bleu |
|
value: 26.7 |
|
- name: chr-F |
|
type: chrf |
|
value: 0.55549 |
|
- task: |
|
name: Translation swe-eng |
|
type: translation |
|
args: swe-eng |
|
dataset: |
|
name: ntrex128 |
|
type: ntrex128 |
|
args: swe-eng |
|
metrics: |
|
- name: BLEU |
|
type: bleu |
|
value: 42.2 |
|
- name: chr-F |
|
type: chrf |
|
value: 0.66348 |
|
- task: |
|
name: Translation swe-fra |
|
type: translation |
|
args: swe-fra |
|
dataset: |
|
name: ntrex128 |
|
type: ntrex128 |
|
args: swe-fra |
|
metrics: |
|
- name: BLEU |
|
type: bleu |
|
value: 29.0 |
|
- name: chr-F |
|
type: chrf |
|
value: 0.56310 |
|
- task: |
|
name: Translation swe-por |
|
type: translation |
|
args: swe-por |
|
dataset: |
|
name: ntrex128 |
|
type: ntrex128 |
|
args: swe-por |
|
metrics: |
|
- name: BLEU |
|
type: bleu |
|
value: 27.8 |
|
- name: chr-F |
|
type: chrf |
|
value: 0.54965 |
|
- task: |
|
name: Translation swe-spa |
|
type: translation |
|
args: swe-spa |
|
dataset: |
|
name: ntrex128 |
|
type: ntrex128 |
|
args: swe-spa |
|
metrics: |
|
- name: BLEU |
|
type: bleu |
|
value: 32.8 |
|
- name: chr-F |
|
type: chrf |
|
value: 0.58035 |
|
- task: |
|
name: Translation dan-deu |
|
type: translation |
|
args: dan-deu |
|
dataset: |
|
name: tatoeba-test-v2021-08-07 |
|
type: tatoeba_mt |
|
args: dan-deu |
|
metrics: |
|
- name: BLEU |
|
type: bleu |
|
value: 56.7 |
|
- name: chr-F |
|
type: chrf |
|
value: 0.74460 |
|
- task: |
|
name: Translation dan-eng |
|
type: translation |
|
args: dan-eng |
|
dataset: |
|
name: tatoeba-test-v2021-08-07 |
|
type: tatoeba_mt |
|
args: dan-eng |
|
metrics: |
|
- name: BLEU |
|
type: bleu |
|
value: 64.3 |
|
- name: chr-F |
|
type: chrf |
|
value: 0.77233 |
|
- task: |
|
name: Translation dan-fra |
|
type: translation |
|
args: dan-fra |
|
dataset: |
|
name: tatoeba-test-v2021-08-07 |
|
type: tatoeba_mt |
|
args: dan-fra |
|
metrics: |
|
- name: BLEU |
|
type: bleu |
|
value: 60.8 |
|
- name: chr-F |
|
type: chrf |
|
value: 0.76425 |
|
- task: |
|
name: Translation dan-por |
|
type: translation |
|
args: dan-por |
|
dataset: |
|
name: tatoeba-test-v2021-08-07 |
|
type: tatoeba_mt |
|
args: dan-por |
|
metrics: |
|
- name: BLEU |
|
type: bleu |
|
value: 60.0 |
|
- name: chr-F |
|
type: chrf |
|
value: 0.77248 |
|
- task: |
|
name: Translation dan-spa |
|
type: translation |
|
args: dan-spa |
|
dataset: |
|
name: tatoeba-test-v2021-08-07 |
|
type: tatoeba_mt |
|
args: dan-spa |
|
metrics: |
|
- name: BLEU |
|
type: bleu |
|
value: 54.9 |
|
- name: chr-F |
|
type: chrf |
|
value: 0.72567 |
|
- task: |
|
name: Translation fao-eng |
|
type: translation |
|
args: fao-eng |
|
dataset: |
|
name: tatoeba-test-v2021-08-07 |
|
type: tatoeba_mt |
|
args: fao-eng |
|
metrics: |
|
- name: BLEU |
|
type: bleu |
|
value: 39.6 |
|
- name: chr-F |
|
type: chrf |
|
value: 0.54571 |
|
- task: |
|
name: Translation isl-deu |
|
type: translation |
|
args: isl-deu |
|
dataset: |
|
name: tatoeba-test-v2021-08-07 |
|
type: tatoeba_mt |
|
args: isl-deu |
|
metrics: |
|
- name: BLEU |
|
type: bleu |
|
value: 51.4 |
|
- name: chr-F |
|
type: chrf |
|
value: 0.68535 |
|
- task: |
|
name: Translation isl-eng |
|
type: translation |
|
args: isl-eng |
|
dataset: |
|
name: tatoeba-test-v2021-08-07 |
|
type: tatoeba_mt |
|
args: isl-eng |
|
metrics: |
|
- name: BLEU |
|
type: bleu |
|
value: 51.7 |
|
- name: chr-F |
|
type: chrf |
|
value: 0.67066 |
|
- task: |
|
name: Translation isl-spa |
|
type: translation |
|
args: isl-spa |
|
dataset: |
|
name: tatoeba-test-v2021-08-07 |
|
type: tatoeba_mt |
|
args: isl-spa |
|
metrics: |
|
- name: BLEU |
|
type: bleu |
|
value: 48.5 |
|
- name: chr-F |
|
type: chrf |
|
value: 0.65659 |
|
- 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: 58.2 |
|
- name: chr-F |
|
type: chrf |
|
value: 0.73325 |
|
- task: |
|
name: Translation nno-eng |
|
type: translation |
|
args: nno-eng |
|
dataset: |
|
name: tatoeba-test-v2021-08-07 |
|
type: tatoeba_mt |
|
args: nno-eng |
|
metrics: |
|
- name: BLEU |
|
type: bleu |
|
value: 55.5 |
|
- name: chr-F |
|
type: chrf |
|
value: 0.69415 |
|
- task: |
|
name: Translation nob-deu |
|
type: translation |
|
args: nob-deu |
|
dataset: |
|
name: tatoeba-test-v2021-08-07 |
|
type: tatoeba_mt |
|
args: nob-deu |
|
metrics: |
|
- name: BLEU |
|
type: bleu |
|
value: 50.5 |
|
- name: chr-F |
|
type: chrf |
|
value: 0.69862 |
|
- task: |
|
name: Translation nob-eng |
|
type: translation |
|
args: nob-eng |
|
dataset: |
|
name: tatoeba-test-v2021-08-07 |
|
type: tatoeba_mt |
|
args: nob-eng |
|
metrics: |
|
- name: BLEU |
|
type: bleu |
|
value: 59.2 |
|
- name: chr-F |
|
type: chrf |
|
value: 0.72912 |
|
- task: |
|
name: Translation nob-fra |
|
type: translation |
|
args: nob-fra |
|
dataset: |
|
name: tatoeba-test-v2021-08-07 |
|
type: tatoeba_mt |
|
args: nob-fra |
|
metrics: |
|
- name: BLEU |
|
type: bleu |
|
value: 52.5 |
|
- name: chr-F |
|
type: chrf |
|
value: 0.71392 |
|
- task: |
|
name: Translation nob-spa |
|
type: translation |
|
args: nob-spa |
|
dataset: |
|
name: tatoeba-test-v2021-08-07 |
|
type: tatoeba_mt |
|
args: nob-spa |
|
metrics: |
|
- name: BLEU |
|
type: bleu |
|
value: 55.1 |
|
- name: chr-F |
|
type: chrf |
|
value: 0.73300 |
|
- task: |
|
name: Translation nor-deu |
|
type: translation |
|
args: nor-deu |
|
dataset: |
|
name: tatoeba-test-v2021-08-07 |
|
type: tatoeba_mt |
|
args: nor-deu |
|
metrics: |
|
- name: BLEU |
|
type: bleu |
|
value: 50.7 |
|
- name: chr-F |
|
type: chrf |
|
value: 0.69923 |
|
- task: |
|
name: Translation nor-eng |
|
type: translation |
|
args: nor-eng |
|
dataset: |
|
name: tatoeba-test-v2021-08-07 |
|
type: tatoeba_mt |
|
args: nor-eng |
|
metrics: |
|
- name: BLEU |
|
type: bleu |
|
value: 58.8 |
|
- name: chr-F |
|
type: chrf |
|
value: 0.72587 |
|
- task: |
|
name: Translation nor-fra |
|
type: translation |
|
args: nor-fra |
|
dataset: |
|
name: tatoeba-test-v2021-08-07 |
|
type: tatoeba_mt |
|
args: nor-fra |
|
metrics: |
|
- name: BLEU |
|
type: bleu |
|
value: 55.1 |
|
- name: chr-F |
|
type: chrf |
|
value: 0.73052 |
|
- task: |
|
name: Translation nor-por |
|
type: translation |
|
args: nor-por |
|
dataset: |
|
name: tatoeba-test-v2021-08-07 |
|
type: tatoeba_mt |
|
args: nor-por |
|
metrics: |
|
- name: BLEU |
|
type: bleu |
|
value: 45.4 |
|
- name: chr-F |
|
type: chrf |
|
value: 0.67948 |
|
- task: |
|
name: Translation nor-spa |
|
type: translation |
|
args: nor-spa |
|
dataset: |
|
name: tatoeba-test-v2021-08-07 |
|
type: tatoeba_mt |
|
args: nor-spa |
|
metrics: |
|
- name: BLEU |
|
type: bleu |
|
value: 55.3 |
|
- name: chr-F |
|
type: chrf |
|
value: 0.73320 |
|
- task: |
|
name: Translation swe-deu |
|
type: translation |
|
args: swe-deu |
|
dataset: |
|
name: tatoeba-test-v2021-08-07 |
|
type: tatoeba_mt |
|
args: swe-deu |
|
metrics: |
|
- name: BLEU |
|
type: bleu |
|
value: 55.4 |
|
- name: chr-F |
|
type: chrf |
|
value: 0.71816 |
|
- task: |
|
name: Translation swe-eng |
|
type: translation |
|
args: swe-eng |
|
dataset: |
|
name: tatoeba-test-v2021-08-07 |
|
type: tatoeba_mt |
|
args: swe-eng |
|
metrics: |
|
- name: BLEU |
|
type: bleu |
|
value: 64.8 |
|
- name: chr-F |
|
type: chrf |
|
value: 0.76648 |
|
- task: |
|
name: Translation swe-fra |
|
type: translation |
|
args: swe-fra |
|
dataset: |
|
name: tatoeba-test-v2021-08-07 |
|
type: tatoeba_mt |
|
args: swe-fra |
|
metrics: |
|
- name: BLEU |
|
type: bleu |
|
value: 57.4 |
|
- name: chr-F |
|
type: chrf |
|
value: 0.72847 |
|
- task: |
|
name: Translation swe-por |
|
type: translation |
|
args: swe-por |
|
dataset: |
|
name: tatoeba-test-v2021-08-07 |
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type: tatoeba_mt |
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args: swe-por |
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metrics: |
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- name: BLEU |
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type: bleu |
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value: 50.3 |
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- name: chr-F |
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type: chrf |
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value: 0.70554 |
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- task: |
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name: Translation swe-spa |
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type: translation |
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args: swe-spa |
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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: swe-spa |
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metrics: |
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- name: BLEU |
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type: bleu |
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value: 54.3 |
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- name: chr-F |
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type: chrf |
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value: 0.70926 |
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- task: |
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name: Translation isl-eng |
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type: translation |
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args: isl-eng |
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dataset: |
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name: newstest2021 |
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type: wmt-2021-news |
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args: isl-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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- name: chr-F |
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type: chrf |
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value: 0.56364 |
|
--- |
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# opus-mt-tc-bible-big-gmq-deu_eng_fra_por_spa |
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|
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## Table of Contents |
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- [Model Details](#model-details) |
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- [Uses](#uses) |
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- [Risks, Limitations and Biases](#risks-limitations-and-biases) |
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- [How to Get Started With the Model](#how-to-get-started-with-the-model) |
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- [Training](#training) |
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- [Evaluation](#evaluation) |
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- [Citation Information](#citation-information) |
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- [Acknowledgements](#acknowledgements) |
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|
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## Model Details |
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Neural machine translation model for translating from North Germanic languages (gmq) to unknown (deu+eng+fra+por+spa). |
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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). |
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**Model Description:** |
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- **Developed by:** Language Technology Research Group at the University of Helsinki |
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- **Model Type:** Translation (transformer-big) |
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- **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): dan fao isl nno nob non nor swe |
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- Target Language(s): deu eng fra por spa |
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- Valid Target Language Labels: >>deu<< >>eng<< >>fra<< >>por<< >>spa<< >>xxx<< |
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- **Original Model**: [opusTCv20230926max50+bt+jhubc_transformer-big_2024-05-30.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/gmq-deu+eng+fra+por+spa/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/gmq-deu%2Beng%2Bfra%2Bpor%2Bspa/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. `>>deu<<` |
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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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">>deu<< Replace this with text in an accepted source language.", |
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">>spa<< This is the second sentence." |
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] |
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model_name = "pytorch-models/opus-mt-tc-bible-big-gmq-deu_eng_fra_por_spa" |
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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-gmq-deu_eng_fra_por_spa") |
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print(pipe(">>deu<< 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/gmq-deu+eng+fra+por+spa/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/gmq-deu%2Beng%2Bfra%2Bpor%2Bspa/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/gmq-deu+eng+fra+por+spa/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/gmq-deu+eng+fra+por+spa/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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|
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| langpair | testset | chr-F | BLEU | #sent | #words | |
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|----------|---------|-------|-------|-------|--------| |
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| dan-deu | tatoeba-test-v2021-08-07 | 0.74460 | 56.7 | 9998 | 76055 | |
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| dan-eng | tatoeba-test-v2021-08-07 | 0.77233 | 64.3 | 10795 | 79684 | |
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| dan-fra | tatoeba-test-v2021-08-07 | 0.76425 | 60.8 | 1731 | 11882 | |
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| dan-por | tatoeba-test-v2021-08-07 | 0.77248 | 60.0 | 873 | 5360 | |
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| dan-spa | tatoeba-test-v2021-08-07 | 0.72567 | 54.9 | 5000 | 35528 | |
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| fao-eng | tatoeba-test-v2021-08-07 | 0.54571 | 39.6 | 294 | 1984 | |
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| isl-deu | tatoeba-test-v2021-08-07 | 0.68535 | 51.4 | 969 | 6279 | |
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| isl-eng | tatoeba-test-v2021-08-07 | 0.67066 | 51.7 | 2503 | 19788 | |
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| isl-spa | tatoeba-test-v2021-08-07 | 0.65659 | 48.5 | 238 | 1229 | |
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| nno-eng | tatoeba-test-v2021-08-07 | 0.69415 | 55.5 | 460 | 3524 | |
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| nob-deu | tatoeba-test-v2021-08-07 | 0.69862 | 50.5 | 3525 | 33592 | |
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| nob-eng | tatoeba-test-v2021-08-07 | 0.72912 | 59.2 | 4539 | 36823 | |
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| nob-fra | tatoeba-test-v2021-08-07 | 0.71392 | 52.5 | 323 | 2269 | |
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| nob-spa | tatoeba-test-v2021-08-07 | 0.73300 | 55.1 | 885 | 6866 | |
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| nor-deu | tatoeba-test-v2021-08-07 | 0.69923 | 50.7 | 3651 | 34575 | |
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| nor-eng | tatoeba-test-v2021-08-07 | 0.72587 | 58.8 | 5000 | 40355 | |
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| nor-fra | tatoeba-test-v2021-08-07 | 0.73052 | 55.1 | 477 | 3213 | |
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| nor-por | tatoeba-test-v2021-08-07 | 0.67948 | 45.4 | 481 | 4182 | |
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| nor-spa | tatoeba-test-v2021-08-07 | 0.73320 | 55.3 | 960 | 7311 | |
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| swe-deu | tatoeba-test-v2021-08-07 | 0.71816 | 55.4 | 3410 | 23494 | |
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| swe-eng | tatoeba-test-v2021-08-07 | 0.76648 | 64.8 | 10362 | 68513 | |
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| swe-fra | tatoeba-test-v2021-08-07 | 0.72847 | 57.4 | 1407 | 9580 | |
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| swe-por | tatoeba-test-v2021-08-07 | 0.70554 | 50.3 | 320 | 2032 | |
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| swe-spa | tatoeba-test-v2021-08-07 | 0.70926 | 54.3 | 1351 | 8235 | |
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| dan-eng | flores101-devtest | 0.71193 | 47.6 | 1012 | 24721 | |
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| dan-fra | flores101-devtest | 0.63349 | 38.1 | 1012 | 28343 | |
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| dan-por | flores101-devtest | 0.62063 | 36.2 | 1012 | 26519 | |
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| dan-spa | flores101-devtest | 0.52557 | 24.2 | 1012 | 29199 | |
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| isl-deu | flores101-devtest | 0.50581 | 22.2 | 1012 | 25094 | |
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| isl-eng | flores101-devtest | 0.57294 | 31.6 | 1012 | 24721 | |
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| isl-por | flores101-devtest | 0.52192 | 25.8 | 1012 | 26519 | |
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| isl-spa | flores101-devtest | 0.46364 | 18.5 | 1012 | 29199 | |
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| nob-eng | flores101-devtest | 0.67120 | 42.6 | 1012 | 24721 | |
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| nob-fra | flores101-devtest | 0.60289 | 33.9 | 1012 | 28343 | |
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| nob-spa | flores101-devtest | 0.50848 | 21.9 | 1012 | 29199 | |
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| swe-deu | flores101-devtest | 0.60306 | 32.2 | 1012 | 25094 | |
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| swe-eng | flores101-devtest | 0.70404 | 47.9 | 1012 | 24721 | |
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| swe-por | flores101-devtest | 0.61418 | 35.7 | 1012 | 26519 | |
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| dan-deu | flores200-devtest | 0.60897 | 32.3 | 1012 | 25094 | |
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| dan-eng | flores200-devtest | 0.71641 | 48.2 | 1012 | 24721 | |
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| dan-fra | flores200-devtest | 0.63777 | 38.9 | 1012 | 28343 | |
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| dan-por | flores200-devtest | 0.62302 | 36.7 | 1012 | 26519 | |
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| dan-spa | flores200-devtest | 0.52803 | 24.4 | 1012 | 29199 | |
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| fao-deu | flores200-devtest | 0.41184 | 16.0 | 1012 | 25094 | |
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| fao-eng | flores200-devtest | 0.43308 | 21.2 | 1012 | 24721 | |
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| fao-por | flores200-devtest | 0.42649 | 19.0 | 1012 | 26519 | |
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| isl-deu | flores200-devtest | 0.51165 | 22.7 | 1012 | 25094 | |
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| isl-eng | flores200-devtest | 0.57745 | 32.2 | 1012 | 24721 | |
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| isl-fra | flores200-devtest | 0.54210 | 27.6 | 1012 | 28343 | |
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| isl-por | flores200-devtest | 0.52479 | 26.1 | 1012 | 26519 | |
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| isl-spa | flores200-devtest | 0.46837 | 19.2 | 1012 | 29199 | |
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| nno-deu | flores200-devtest | 0.58054 | 29.2 | 1012 | 25094 | |
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| nno-eng | flores200-devtest | 0.69114 | 45.0 | 1012 | 24721 | |
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| nno-fra | flores200-devtest | 0.61334 | 36.0 | 1012 | 28343 | |
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| nno-por | flores200-devtest | 0.60055 | 34.1 | 1012 | 26519 | |
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| nno-spa | flores200-devtest | 0.51190 | 22.8 | 1012 | 29199 | |
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| nob-deu | flores200-devtest | 0.57023 | 27.6 | 1012 | 25094 | |
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| nob-eng | flores200-devtest | 0.67540 | 43.1 | 1012 | 24721 | |
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| nob-fra | flores200-devtest | 0.60568 | 34.2 | 1012 | 28343 | |
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| nob-por | flores200-devtest | 0.59466 | 32.8 | 1012 | 26519 | |
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| nob-spa | flores200-devtest | 0.51138 | 22.4 | 1012 | 29199 | |
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| swe-deu | flores200-devtest | 0.60630 | 32.6 | 1012 | 25094 | |
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| swe-eng | flores200-devtest | 0.70584 | 48.1 | 1012 | 24721 | |
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| swe-fra | flores200-devtest | 0.63608 | 39.1 | 1012 | 28343 | |
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| swe-por | flores200-devtest | 0.62046 | 36.4 | 1012 | 26519 | |
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| swe-spa | flores200-devtest | 0.52328 | 23.9 | 1012 | 29199 | |
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| isl-eng | newstest2021 | 0.56364 | 32.4 | 1000 | 22529 | |
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| dan-deu | ntrex128 | 0.54229 | 25.3 | 1997 | 48761 | |
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| dan-eng | ntrex128 | 0.63083 | 38.7 | 1997 | 47673 | |
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| dan-fra | ntrex128 | 0.54088 | 26.2 | 1997 | 53481 | |
|
| dan-por | ntrex128 | 0.53626 | 27.0 | 1997 | 51631 | |
|
| dan-spa | ntrex128 | 0.56217 | 30.8 | 1997 | 54107 | |
|
| fao-deu | ntrex128 | 0.41701 | 16.4 | 1997 | 48761 | |
|
| fao-eng | ntrex128 | 0.47105 | 25.3 | 1997 | 47673 | |
|
| fao-fra | ntrex128 | 0.40070 | 16.3 | 1997 | 53481 | |
|
| fao-por | ntrex128 | 0.42005 | 18.0 | 1997 | 51631 | |
|
| fao-spa | ntrex128 | 0.44085 | 20.5 | 1997 | 54107 | |
|
| isl-deu | ntrex128 | 0.49932 | 20.5 | 1997 | 48761 | |
|
| isl-eng | ntrex128 | 0.56856 | 29.7 | 1997 | 47673 | |
|
| isl-fra | ntrex128 | 0.51998 | 24.6 | 1997 | 53481 | |
|
| isl-por | ntrex128 | 0.49903 | 21.7 | 1997 | 51631 | |
|
| isl-spa | ntrex128 | 0.53171 | 27.1 | 1997 | 54107 | |
|
| nno-deu | ntrex128 | 0.53000 | 24.4 | 1997 | 48761 | |
|
| nno-eng | ntrex128 | 0.65866 | 42.9 | 1997 | 47673 | |
|
| nno-fra | ntrex128 | 0.54339 | 27.5 | 1997 | 53481 | |
|
| nno-por | ntrex128 | 0.53242 | 26.3 | 1997 | 51631 | |
|
| nno-spa | ntrex128 | 0.55889 | 30.4 | 1997 | 54107 | |
|
| nob-deu | ntrex128 | 0.55549 | 26.8 | 1997 | 48761 | |
|
| nob-eng | ntrex128 | 0.65580 | 40.9 | 1997 | 47673 | |
|
| nob-fra | ntrex128 | 0.56187 | 29.2 | 1997 | 53481 | |
|
| nob-por | ntrex128 | 0.54392 | 26.6 | 1997 | 51631 | |
|
| nob-spa | ntrex128 | 0.57998 | 32.6 | 1997 | 54107 | |
|
| swe-deu | ntrex128 | 0.55549 | 26.7 | 1997 | 48761 | |
|
| swe-eng | ntrex128 | 0.66348 | 42.2 | 1997 | 47673 | |
|
| swe-fra | ntrex128 | 0.56310 | 29.0 | 1997 | 53481 | |
|
| swe-por | ntrex128 | 0.54965 | 27.8 | 1997 | 51631 | |
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| swe-spa | ntrex128 | 0.58035 | 32.8 | 1997 | 54107 | |
|
|
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## Citation Information |
|
|
|
* Publications: [Democratizing neural machine translation with OPUS-MT](https://doi.org/10.1007/s10579-023-09704-w) and [OPUS-MT – Building open translation services for the World](https://aclanthology.org/2020.eamt-1.61/) and [The Tatoeba Translation Challenge – Realistic Data Sets for Low Resource and Multilingual MT](https://aclanthology.org/2020.wmt-1.139/) (Please, cite if you use this model.) |
|
|
|
```bibtex |
|
@article{tiedemann2023democratizing, |
|
title={Democratizing neural machine translation with {OPUS-MT}}, |
|
author={Tiedemann, J{\"o}rg and Aulamo, Mikko and Bakshandaeva, Daria and Boggia, Michele and Gr{\"o}nroos, Stig-Arne and Nieminen, Tommi and Raganato, Alessandro and Scherrer, Yves and Vazquez, Raul and Virpioja, Sami}, |
|
journal={Language Resources and Evaluation}, |
|
number={58}, |
|
pages={713--755}, |
|
year={2023}, |
|
publisher={Springer Nature}, |
|
issn={1574-0218}, |
|
doi={10.1007/s10579-023-09704-w} |
|
} |
|
|
|
@inproceedings{tiedemann-thottingal-2020-opus, |
|
title = "{OPUS}-{MT} {--} Building open translation services for the World", |
|
author = {Tiedemann, J{\"o}rg and Thottingal, Santhosh}, |
|
booktitle = "Proceedings of the 22nd Annual Conference of the European Association for Machine Translation", |
|
month = nov, |
|
year = "2020", |
|
address = "Lisboa, Portugal", |
|
publisher = "European Association for Machine Translation", |
|
url = "https://aclanthology.org/2020.eamt-1.61", |
|
pages = "479--480", |
|
} |
|
|
|
@inproceedings{tiedemann-2020-tatoeba, |
|
title = "The Tatoeba Translation Challenge {--} Realistic Data Sets for Low Resource and Multilingual {MT}", |
|
author = {Tiedemann, J{\"o}rg}, |
|
booktitle = "Proceedings of the Fifth Conference on Machine Translation", |
|
month = nov, |
|
year = "2020", |
|
address = "Online", |
|
publisher = "Association for Computational Linguistics", |
|
url = "https://aclanthology.org/2020.wmt-1.139", |
|
pages = "1174--1182", |
|
} |
|
``` |
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|
|
## Acknowledgements |
|
|
|
The work is supported by the [HPLT project](https://hplt-project.org/), funded by the European Union’s Horizon Europe research and innovation programme under grant agreement No 101070350. We are also grateful for the generous computational resources and IT infrastructure provided by [CSC -- IT Center for Science](https://www.csc.fi/), Finland, and the [EuroHPC supercomputer LUMI](https://www.lumi-supercomputer.eu/). |
|
|
|
## Model conversion info |
|
|
|
* transformers version: 4.45.1 |
|
* OPUS-MT git hash: 0882077 |
|
* port time: Tue Oct 8 11:11:37 EEST 2024 |
|
* port machine: LM0-400-22516.local |
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|
