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--- |
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library_name: transformers |
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language: |
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- aa |
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- am |
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- ar |
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- arc |
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- bcw |
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- byn |
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- cop |
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- daa |
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- de |
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- dsh |
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- en |
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- es |
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- fr |
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- gde |
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- gnd |
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- ha |
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- hbo |
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- he |
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- hig |
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- irk |
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- jpa |
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- kab |
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- ker |
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- kqp |
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- ktb |
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- kxc |
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- lln |
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- lme |
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- meq |
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- mfh |
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- mfi |
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- mfk |
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- mif |
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- mpg |
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- mqb |
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- mt |
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- muy |
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- oar |
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- om |
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- pbi |
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- phn |
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- pt |
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- rif |
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- sgw |
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- shi |
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- shy |
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- so |
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- sur |
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- syc |
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- syr |
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- taq |
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- thv |
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- ti |
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- tig |
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- tmc |
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- tmh |
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- tmr |
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- ttr |
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- tzm |
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- wal |
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- xed |
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- zgh |
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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-afa |
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results: |
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- task: |
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name: Translation deu-hau |
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type: translation |
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args: deu-hau |
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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-hau |
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metrics: |
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- name: BLEU |
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type: bleu |
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value: 11.4 |
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- name: chr-F |
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type: chrf |
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value: 0.40471 |
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- task: |
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name: Translation deu-heb |
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type: translation |
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args: deu-heb |
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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-heb |
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metrics: |
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- name: BLEU |
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type: bleu |
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value: 18.1 |
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- name: chr-F |
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type: chrf |
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value: 0.48645 |
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- task: |
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name: Translation deu-mlt |
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type: translation |
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args: deu-mlt |
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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-mlt |
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metrics: |
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- name: BLEU |
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type: bleu |
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value: 17.5 |
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- name: chr-F |
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type: chrf |
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value: 0.54079 |
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- task: |
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name: Translation eng-arz |
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type: translation |
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args: eng-arz |
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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-arz |
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metrics: |
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- name: BLEU |
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type: bleu |
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value: 11.1 |
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- name: chr-F |
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type: chrf |
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value: 0.42804 |
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- task: |
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name: Translation eng-hau |
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type: translation |
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args: eng-hau |
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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-hau |
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metrics: |
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- name: BLEU |
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type: bleu |
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value: 20.4 |
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- name: chr-F |
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type: chrf |
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value: 0.49023 |
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- task: |
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name: Translation eng-heb |
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type: translation |
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args: eng-heb |
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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-heb |
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metrics: |
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- name: BLEU |
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type: bleu |
|
value: 27.1 |
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- name: chr-F |
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type: chrf |
|
value: 0.56635 |
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- task: |
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name: Translation eng-mlt |
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type: translation |
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args: eng-mlt |
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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-mlt |
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metrics: |
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- name: BLEU |
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type: bleu |
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value: 34.9 |
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- name: chr-F |
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type: chrf |
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value: 0.68334 |
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- task: |
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name: Translation fra-hau |
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type: translation |
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args: fra-hau |
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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-hau |
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metrics: |
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- name: BLEU |
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type: bleu |
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value: 13.2 |
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- name: chr-F |
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type: chrf |
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value: 0.42731 |
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- task: |
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name: Translation fra-heb |
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type: translation |
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args: fra-heb |
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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-heb |
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metrics: |
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- name: BLEU |
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type: bleu |
|
value: 19.1 |
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- name: chr-F |
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type: chrf |
|
value: 0.49683 |
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- task: |
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name: Translation fra-mlt |
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type: translation |
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args: fra-mlt |
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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-mlt |
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metrics: |
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- name: BLEU |
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type: bleu |
|
value: 20.4 |
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- name: chr-F |
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type: chrf |
|
value: 0.56844 |
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- task: |
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name: Translation por-hau |
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type: translation |
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args: por-hau |
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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-hau |
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metrics: |
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- name: BLEU |
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type: bleu |
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value: 13.6 |
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- name: chr-F |
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type: chrf |
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value: 0.42593 |
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- task: |
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name: Translation por-heb |
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type: translation |
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args: por-heb |
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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-heb |
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metrics: |
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- name: BLEU |
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type: bleu |
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value: 19.7 |
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- name: chr-F |
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type: chrf |
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value: 0.50345 |
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- task: |
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name: Translation por-mlt |
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type: translation |
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args: por-mlt |
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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-mlt |
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metrics: |
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- name: BLEU |
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type: bleu |
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value: 21.5 |
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- name: chr-F |
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type: chrf |
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value: 0.58913 |
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- task: |
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name: Translation spa-heb |
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type: translation |
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args: spa-heb |
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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-heb |
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metrics: |
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- name: BLEU |
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type: bleu |
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value: 13.5 |
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- name: chr-F |
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type: chrf |
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value: 0.45249 |
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- task: |
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name: Translation spa-mlt |
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type: translation |
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args: spa-mlt |
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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-mlt |
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metrics: |
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- name: BLEU |
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type: bleu |
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value: 12.7 |
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- name: chr-F |
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type: chrf |
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value: 0.51077 |
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- task: |
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name: Translation deu-ara |
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type: translation |
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args: deu-ara |
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dataset: |
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name: flores101-devtest |
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type: flores_101 |
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args: deu ara devtest |
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metrics: |
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- name: BLEU |
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type: bleu |
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value: 15.7 |
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- name: chr-F |
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type: chrf |
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value: 0.47927 |
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- task: |
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name: Translation deu-hau |
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type: translation |
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args: deu-hau |
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dataset: |
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name: flores101-devtest |
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type: flores_101 |
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args: deu hau devtest |
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metrics: |
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- name: BLEU |
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type: bleu |
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value: 10.6 |
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- name: chr-F |
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type: chrf |
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value: 0.39583 |
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- task: |
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name: Translation eng-hau |
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type: translation |
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args: eng-hau |
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dataset: |
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name: flores101-devtest |
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type: flores_101 |
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args: eng hau devtest |
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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: 0.47807 |
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- task: |
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name: Translation eng-mlt |
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type: translation |
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args: eng-mlt |
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dataset: |
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name: flores101-devtest |
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type: flores_101 |
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args: eng mlt devtest |
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metrics: |
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- name: BLEU |
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type: bleu |
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value: 32.9 |
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- name: chr-F |
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type: chrf |
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value: 0.67196 |
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- task: |
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name: Translation fra-mlt |
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type: translation |
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args: fra-mlt |
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dataset: |
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name: flores101-devtest |
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type: flores_101 |
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args: fra mlt devtest |
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metrics: |
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- name: BLEU |
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type: bleu |
|
value: 19.9 |
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- name: chr-F |
|
type: chrf |
|
value: 0.56271 |
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- task: |
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name: Translation por-heb |
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type: translation |
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args: por-heb |
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dataset: |
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name: flores101-devtest |
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type: flores_101 |
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args: por heb devtest |
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metrics: |
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- name: BLEU |
|
type: bleu |
|
value: 19.6 |
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- name: chr-F |
|
type: chrf |
|
value: 0.49378 |
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- task: |
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name: Translation spa-ara |
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type: translation |
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args: spa-ara |
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dataset: |
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name: flores101-devtest |
|
type: flores_101 |
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args: spa ara devtest |
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metrics: |
|
- name: BLEU |
|
type: bleu |
|
value: 11.7 |
|
- name: chr-F |
|
type: chrf |
|
value: 0.44988 |
|
- task: |
|
name: Translation deu-hau |
|
type: translation |
|
args: deu-hau |
|
dataset: |
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name: ntrex128 |
|
type: ntrex128 |
|
args: deu-hau |
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metrics: |
|
- name: BLEU |
|
type: bleu |
|
value: 12.5 |
|
- name: chr-F |
|
type: chrf |
|
value: 0.41931 |
|
- task: |
|
name: Translation deu-heb |
|
type: translation |
|
args: deu-heb |
|
dataset: |
|
name: ntrex128 |
|
type: ntrex128 |
|
args: deu-heb |
|
metrics: |
|
- name: BLEU |
|
type: bleu |
|
value: 13.3 |
|
- name: chr-F |
|
type: chrf |
|
value: 0.43961 |
|
- task: |
|
name: Translation deu-mlt |
|
type: translation |
|
args: deu-mlt |
|
dataset: |
|
name: ntrex128 |
|
type: ntrex128 |
|
args: deu-mlt |
|
metrics: |
|
- name: BLEU |
|
type: bleu |
|
value: 15.1 |
|
- name: chr-F |
|
type: chrf |
|
value: 0.49871 |
|
- task: |
|
name: Translation eng-hau |
|
type: translation |
|
args: eng-hau |
|
dataset: |
|
name: ntrex128 |
|
type: ntrex128 |
|
args: eng-hau |
|
metrics: |
|
- name: BLEU |
|
type: bleu |
|
value: 23.2 |
|
- name: chr-F |
|
type: chrf |
|
value: 0.51601 |
|
- task: |
|
name: Translation eng-heb |
|
type: translation |
|
args: eng-heb |
|
dataset: |
|
name: ntrex128 |
|
type: ntrex128 |
|
args: eng-heb |
|
metrics: |
|
- name: BLEU |
|
type: bleu |
|
value: 20.3 |
|
- name: chr-F |
|
type: chrf |
|
value: 0.50625 |
|
- task: |
|
name: Translation eng-mlt |
|
type: translation |
|
args: eng-mlt |
|
dataset: |
|
name: ntrex128 |
|
type: ntrex128 |
|
args: eng-mlt |
|
metrics: |
|
- name: BLEU |
|
type: bleu |
|
value: 29.0 |
|
- name: chr-F |
|
type: chrf |
|
value: 0.62552 |
|
- task: |
|
name: Translation eng-som |
|
type: translation |
|
args: eng-som |
|
dataset: |
|
name: ntrex128 |
|
type: ntrex128 |
|
args: eng-som |
|
metrics: |
|
- name: BLEU |
|
type: bleu |
|
value: 13.5 |
|
- name: chr-F |
|
type: chrf |
|
value: 0.46845 |
|
- task: |
|
name: Translation fra-hau |
|
type: translation |
|
args: fra-hau |
|
dataset: |
|
name: ntrex128 |
|
type: ntrex128 |
|
args: fra-hau |
|
metrics: |
|
- name: BLEU |
|
type: bleu |
|
value: 14.5 |
|
- name: chr-F |
|
type: chrf |
|
value: 0.43729 |
|
- task: |
|
name: Translation fra-heb |
|
type: translation |
|
args: fra-heb |
|
dataset: |
|
name: ntrex128 |
|
type: ntrex128 |
|
args: fra-heb |
|
metrics: |
|
- name: BLEU |
|
type: bleu |
|
value: 13.9 |
|
- name: chr-F |
|
type: chrf |
|
value: 0.43855 |
|
- task: |
|
name: Translation fra-mlt |
|
type: translation |
|
args: fra-mlt |
|
dataset: |
|
name: ntrex128 |
|
type: ntrex128 |
|
args: fra-mlt |
|
metrics: |
|
- name: BLEU |
|
type: bleu |
|
value: 17.3 |
|
- name: chr-F |
|
type: chrf |
|
value: 0.51640 |
|
- task: |
|
name: Translation por-hau |
|
type: translation |
|
args: por-hau |
|
dataset: |
|
name: ntrex128 |
|
type: ntrex128 |
|
args: por-hau |
|
metrics: |
|
- name: BLEU |
|
type: bleu |
|
value: 15.1 |
|
- name: chr-F |
|
type: chrf |
|
value: 0.44408 |
|
- task: |
|
name: Translation por-heb |
|
type: translation |
|
args: por-heb |
|
dataset: |
|
name: ntrex128 |
|
type: ntrex128 |
|
args: por-heb |
|
metrics: |
|
- name: BLEU |
|
type: bleu |
|
value: 15.0 |
|
- name: chr-F |
|
type: chrf |
|
value: 0.45739 |
|
- task: |
|
name: Translation por-mlt |
|
type: translation |
|
args: por-mlt |
|
dataset: |
|
name: ntrex128 |
|
type: ntrex128 |
|
args: por-mlt |
|
metrics: |
|
- name: BLEU |
|
type: bleu |
|
value: 18.2 |
|
- name: chr-F |
|
type: chrf |
|
value: 0.53719 |
|
- task: |
|
name: Translation spa-hau |
|
type: translation |
|
args: spa-hau |
|
dataset: |
|
name: ntrex128 |
|
type: ntrex128 |
|
args: spa-hau |
|
metrics: |
|
- name: BLEU |
|
type: bleu |
|
value: 14.8 |
|
- name: chr-F |
|
type: chrf |
|
value: 0.44695 |
|
- task: |
|
name: Translation spa-heb |
|
type: translation |
|
args: spa-heb |
|
dataset: |
|
name: ntrex128 |
|
type: ntrex128 |
|
args: spa-heb |
|
metrics: |
|
- name: BLEU |
|
type: bleu |
|
value: 14.5 |
|
- name: chr-F |
|
type: chrf |
|
value: 0.45509 |
|
- task: |
|
name: Translation spa-mlt |
|
type: translation |
|
args: spa-mlt |
|
dataset: |
|
name: ntrex128 |
|
type: ntrex128 |
|
args: spa-mlt |
|
metrics: |
|
- name: BLEU |
|
type: bleu |
|
value: 17.7 |
|
- name: chr-F |
|
type: chrf |
|
value: 0.53631 |
|
- task: |
|
name: Translation deu-ara |
|
type: translation |
|
args: deu-ara |
|
dataset: |
|
name: tatoeba-test-v2021-08-07 |
|
type: tatoeba_mt |
|
args: deu-ara |
|
metrics: |
|
- name: BLEU |
|
type: bleu |
|
value: 20.2 |
|
- name: chr-F |
|
type: chrf |
|
value: 0.49517 |
|
- task: |
|
name: Translation deu-heb |
|
type: translation |
|
args: deu-heb |
|
dataset: |
|
name: tatoeba-test-v2021-08-07 |
|
type: tatoeba_mt |
|
args: deu-heb |
|
metrics: |
|
- name: BLEU |
|
type: bleu |
|
value: 35.8 |
|
- name: chr-F |
|
type: chrf |
|
value: 0.56943 |
|
- task: |
|
name: Translation eng-heb |
|
type: translation |
|
args: eng-heb |
|
dataset: |
|
name: tatoeba-test-v2021-08-07 |
|
type: tatoeba_mt |
|
args: eng-heb |
|
metrics: |
|
- name: BLEU |
|
type: bleu |
|
value: 34.9 |
|
- name: chr-F |
|
type: chrf |
|
value: 0.57708 |
|
- task: |
|
name: Translation eng-mlt |
|
type: translation |
|
args: eng-mlt |
|
dataset: |
|
name: tatoeba-test-v2021-08-07 |
|
type: tatoeba_mt |
|
args: eng-mlt |
|
metrics: |
|
- name: BLEU |
|
type: bleu |
|
value: 29.5 |
|
- name: chr-F |
|
type: chrf |
|
value: 0.61044 |
|
- task: |
|
name: Translation fra-heb |
|
type: translation |
|
args: fra-heb |
|
dataset: |
|
name: tatoeba-test-v2021-08-07 |
|
type: tatoeba_mt |
|
args: fra-heb |
|
metrics: |
|
- name: BLEU |
|
type: bleu |
|
value: 37.5 |
|
- name: chr-F |
|
type: chrf |
|
value: 0.58681 |
|
- task: |
|
name: Translation por-heb |
|
type: translation |
|
args: por-heb |
|
dataset: |
|
name: tatoeba-test-v2021-08-07 |
|
type: tatoeba_mt |
|
args: por-heb |
|
metrics: |
|
- name: BLEU |
|
type: bleu |
|
value: 41.0 |
|
- name: chr-F |
|
type: chrf |
|
value: 0.61593 |
|
- task: |
|
name: Translation spa-ara |
|
type: translation |
|
args: spa-ara |
|
dataset: |
|
name: tatoeba-test-v2021-08-07 |
|
type: tatoeba_mt |
|
args: spa-ara |
|
metrics: |
|
- name: BLEU |
|
type: bleu |
|
value: 23.9 |
|
- name: chr-F |
|
type: chrf |
|
value: 0.53669 |
|
- task: |
|
name: Translation spa-heb |
|
type: translation |
|
args: spa-heb |
|
dataset: |
|
name: tatoeba-test-v2021-08-07 |
|
type: tatoeba_mt |
|
args: spa-heb |
|
metrics: |
|
- name: BLEU |
|
type: bleu |
|
value: 41.2 |
|
- name: chr-F |
|
type: chrf |
|
value: 0.61966 |
|
- task: |
|
name: Translation eng-ara |
|
type: translation |
|
args: eng-ara |
|
dataset: |
|
name: tico19-test |
|
type: tico19-test |
|
args: eng-ara |
|
metrics: |
|
- name: BLEU |
|
type: bleu |
|
value: 25.4 |
|
- name: chr-F |
|
type: chrf |
|
value: 0.56288 |
|
- task: |
|
name: Translation eng-hau |
|
type: translation |
|
args: eng-hau |
|
dataset: |
|
name: tico19-test |
|
type: tico19-test |
|
args: eng-hau |
|
metrics: |
|
- name: BLEU |
|
type: bleu |
|
value: 22.2 |
|
- name: chr-F |
|
type: chrf |
|
value: 0.50060 |
|
- task: |
|
name: Translation fra-ara |
|
type: translation |
|
args: fra-ara |
|
dataset: |
|
name: tico19-test |
|
type: tico19-test |
|
args: fra-ara |
|
metrics: |
|
- name: BLEU |
|
type: bleu |
|
value: 13.8 |
|
- name: chr-F |
|
type: chrf |
|
value: 0.39785 |
|
- task: |
|
name: Translation por-ara |
|
type: translation |
|
args: por-ara |
|
dataset: |
|
name: tico19-test |
|
type: tico19-test |
|
args: por-ara |
|
metrics: |
|
- name: BLEU |
|
type: bleu |
|
value: 16.0 |
|
- name: chr-F |
|
type: chrf |
|
value: 0.44442 |
|
- task: |
|
name: Translation spa-ara |
|
type: translation |
|
args: spa-ara |
|
dataset: |
|
name: tico19-test |
|
type: tico19-test |
|
args: spa-ara |
|
metrics: |
|
- name: BLEU |
|
type: bleu |
|
value: 16.5 |
|
- name: chr-F |
|
type: chrf |
|
value: 0.45429 |
|
- task: |
|
name: Translation eng-hau |
|
type: translation |
|
args: eng-hau |
|
dataset: |
|
name: newstest2021 |
|
type: wmt-2021-news |
|
args: eng-hau |
|
metrics: |
|
- name: BLEU |
|
type: bleu |
|
value: 13.1 |
|
- name: chr-F |
|
type: chrf |
|
value: 0.43617 |
|
--- |
|
# opus-mt-tc-bible-big-deu_eng_fra_por_spa-afa |
|
|
|
## 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 Afro-Asiatic languages (afa). |
|
|
|
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**: 2024-05-29 |
|
- **License:** Apache-2.0 |
|
- **Language(s):** |
|
- Source Language(s): deu eng fra por spa |
|
- Target Language(s): aar acm afb amh apc ara arc arq arz bcw byn cop daa dsh gde gnd hau hbo heb hig irk jpa kab ker kqp ktb kxc lln lme meq mfh mfi mfk mif mlt mpg mqb muy oar orm pbi phn rif sgw shi shy som sur syc syr taq thv tig tir tmc tmh tmr ttr tzm wal xed zgh |
|
- Valid Target Language Labels: >>aal<< >>aar<< >>aas<< >>acm<< >>afb<< >>agj<< >>ahg<< >>aij<< >>aiw<< >>ajw<< >>akk<< >>alw<< >>amh<< >>amw<< >>anc<< >>ank<< >>apc<< >>ara<< >>arc<< >>arq<< >>arv<< >>arz<< >>auj<< >>auo<< >>awn<< >>bbt<< >>bcq<< >>bcw<< >>bcy<< >>bde<< >>bdm<< >>bdn<< >>bds<< >>bej<< >>bhm<< >>bhn<< >>bhs<< >>bid<< >>bjf<< >>bji<< >>bnl<< >>bob<< >>bol<< >>bsw<< >>bta<< >>btf<< >>bux<< >>bva<< >>bvf<< >>bvh<< >>bvw<< >>bwo<< >>bwr<< >>bxe<< >>bxq<< >>byn<< >>cie<< >>ckl<< >>ckq<< >>cky<< >>cla<< >>cnu<< >>cop<< >>cop_Copt<< >>cuv<< >>daa<< >>dal<< >>dbb<< >>dbp<< >>dbq<< >>dbr<< >>dgh<< >>dim<< >>dkx<< >>dlk<< >>dme<< >>dot<< >>dox<< >>doz<< >>drs<< >>dsh<< >>dwa<< >>egy<< >>elo<< >>fie<< >>fkk<< >>fli<< >>gab<< >>gde<< >>gdf<< >>gdk<< >>gdl<< >>gdq<< >>gdu<< >>gea<< >>gek<< >>gew<< >>gex<< >>gez<< >>gft<< >>gha<< >>gho<< >>gid<< >>gis<< >>giz<< >>gji<< >>glo<< >>glw<< >>gnc<< >>gnd<< >>gou<< >>gow<< >>gqa<< >>grd<< >>grr<< >>gru<< >>gwd<< >>gwn<< >>har<< >>hau<< >>hau_Latn<< >>hbb<< >>hbo<< >>hbo_Hebr<< >>hdy<< >>heb<< >>hed<< >>hia<< >>hig<< >>hna<< >>hod<< >>hoh<< >>hrt<< >>hss<< >>huy<< >>hwo<< >>hya<< >>inm<< >>ior<< >>irk<< >>jaf<< >>jbe<< >>jbn<< >>jeu<< >>jia<< >>jie<< >>jii<< >>jim<< >>jmb<< >>jmi<< >>jnj<< >>jpa<< >>jpa_Hebr<< >>jrb<< >>juu<< >>kab<< >>kai<< >>kbz<< >>kcn<< >>kcs<< >>ker<< >>kil<< >>kkr<< >>kks<< >>kna<< >>kof<< >>kot<< >>kpa<< >>kqd<< >>kqp<< >>kqx<< >>ksq<< >>ktb<< >>ktc<< >>kuh<< >>kul<< >>kvf<< >>kvi<< >>kvj<< >>kwl<< >>kxc<< >>ldd<< >>lhs<< >>liq<< >>lln<< >>lme<< >>lsd<< >>maf<< >>mcn<< >>mcw<< >>mdx<< >>meq<< >>mes<< >>mew<< >>mey<< >>mfh<< >>mfi<< >>mfj<< >>mfk<< >>mfl<< >>mfm<< >>mid<< >>mif<< >>mje<< >>mjs<< >>mkf<< >>mlj<< >>mlr<< >>mlt<< >>mlw<< >>mmf<< >>mmy<< >>mou<< >>moz<< >>mpg<< >>mpi<< >>mpk<< >>mqb<< >>mrt<< >>mse<< >>msv<< >>mtl<< >>mub<< >>mug<< >>muj<< >>muu<< >>muy<< >>mvh<< >>mvz<< >>mxf<< >>mxu<< >>mys<< >>myz<< >>mzb<< >>nbh<< >>ndm<< >>ngi<< >>ngs<< >>ngw<< >>ngx<< >>nja<< >>nmi<< >>nnc<< >>nnn<< >>noz<< >>nxm<< >>oar<< >>oar_Hebr<< >>oar_Syrc<< >>orm<< >>oua<< >>pbi<< >>pcw<< >>phn<< >>phn_Phnx<< >>pip<< >>piy<< >>plj<< >>pqa<< >>rel<< >>rif<< >>rif_Latn<< >>rzh<< >>saa<< >>sam<< >>say<< >>scw<< >>sds<< >>sgw<< >>she<< >>shi<< >>shi_Latn<< >>shv<< >>shy<< >>shy_Latn<< >>sid<< >>sir<< >>siz<< >>sjs<< >>smp<< >>sok<< >>som<< >>sor<< >>sqr<< >>sqt<< >>ssn<< >>ssy<< >>stv<< >>sur<< >>swn<< >>swq<< >>swy<< >>syc<< >>syk<< >>syn<< >>syr<< >>tak<< >>tal<< >>tan<< >>taq<< >>tax<< >>tdk<< >>tez<< >>tgd<< >>thv<< >>tia<< >>tig<< >>tir<< >>tjo<< >>tmc<< >>tmh<< >>tmr<< >>tmr_Hebr<< >>tng<< >>tqq<< >>trg<< >>trj<< >>tru<< >>tsb<< >>tsh<< >>ttr<< >>twc<< >>tzm<< >>tzm_Latn<< >>tzm_Tfng<< >>ubi<< >>udl<< >>uga<< >>vem<< >>wal<< >>wbj<< >>wji<< >>wka<< >>wle<< >>xaa<< >>xan<< >>xeb<< >>xed<< >>xhd<< >>xmd<< >>xmj<< >>xna<< >>xpu<< >>xqt<< >>xsa<< >>ymm<< >>zah<< >>zay<< >>zaz<< >>zen<< >>zgh<< >>zim<< >>ziz<< >>zns<< >>zrn<< >>zua<< >>zuy<< >>zwa<< |
|
- **Original Model**: [opusTCv20230926max50+bt+jhubc_transformer-big_2024-05-29.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/deu+eng+fra+por+spa-afa/opusTCv20230926max50+bt+jhubc_transformer-big_2024-05-29.zip) |
|
- **Resources for more information:** |
|
- [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-afa/opusTCv20230926max50%2Bbt%2Bjhubc_transformer-big_2024-05-29) |
|
- [OPUS-MT-train GitHub Repo](https://github.com/Helsinki-NLP/OPUS-MT-train) |
|
- [More information about MarianNMT models in the transformers library](https://huggingface.co/docs/transformers/model_doc/marian) |
|
- [Tatoeba Translation Challenge](https://github.com/Helsinki-NLP/Tatoeba-Challenge/) |
|
- [HPLT bilingual data v1 (as part of the Tatoeba Translation Challenge dataset)](https://hplt-project.org/datasets/v1) |
|
- [A massively parallel Bible corpus](https://aclanthology.org/L14-1215/) |
|
|
|
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. `>>aar<<` |
|
|
|
## Uses |
|
|
|
This model can be used for translation and text-to-text generation. |
|
|
|
## Risks, Limitations and Biases |
|
|
|
**CONTENT WARNING: Readers should be aware that the model is trained on various public data sets that may contain content that is disturbing, offensive, and can propagate historical and current stereotypes.** |
|
|
|
Significant research has explored bias and fairness issues with language models (see, e.g., [Sheng et al. (2021)](https://aclanthology.org/2021.acl-long.330.pdf) and [Bender et al. (2021)](https://dl.acm.org/doi/pdf/10.1145/3442188.3445922)). |
|
|
|
## How to Get Started With the Model |
|
|
|
A short example code: |
|
|
|
```python |
|
from transformers import MarianMTModel, MarianTokenizer |
|
|
|
src_text = [ |
|
">>kab<< Tu seras parmi nous demain.", |
|
">>heb<< Let's get out of here while we can." |
|
] |
|
|
|
model_name = "pytorch-models/opus-mt-tc-bible-big-deu_eng_fra_por_spa-afa" |
|
tokenizer = MarianTokenizer.from_pretrained(model_name) |
|
model = MarianMTModel.from_pretrained(model_name) |
|
translated = model.generate(**tokenizer(src_text, return_tensors="pt", padding=True)) |
|
|
|
for t in translated: |
|
print( tokenizer.decode(t, skip_special_tokens=True) ) |
|
|
|
# expected output: |
|
# Azekka ad tiliḍ yid-i |
|
# בוא נצא מכאן כל עוד אנחנו יכולים. |
|
``` |
|
|
|
You can also use OPUS-MT models with the transformers pipelines, for example: |
|
|
|
```python |
|
from transformers import pipeline |
|
pipe = pipeline("translation", model="Helsinki-NLP/opus-mt-tc-bible-big-deu_eng_fra_por_spa-afa") |
|
print(pipe(">>kab<< Tu seras parmi nous demain.")) |
|
|
|
# expected output: Azekka ad tiliḍ yid-i |
|
``` |
|
|
|
## Training |
|
|
|
- **Data**: opusTCv20230926max50+bt+jhubc ([source](https://github.com/Helsinki-NLP/Tatoeba-Challenge)) |
|
- **Pre-processing**: SentencePiece (spm32k,spm32k) |
|
- **Model Type:** transformer-big |
|
- **Original MarianNMT Model**: [opusTCv20230926max50+bt+jhubc_transformer-big_2024-05-29.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/deu+eng+fra+por+spa-afa/opusTCv20230926max50+bt+jhubc_transformer-big_2024-05-29.zip) |
|
- **Training Scripts**: [GitHub Repo](https://github.com/Helsinki-NLP/OPUS-MT-train) |
|
|
|
## Evaluation |
|
|
|
* [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-afa/opusTCv20230926max50%2Bbt%2Bjhubc_transformer-big_2024-05-29) |
|
* 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-afa/opusTCv20230926max50+bt+jhubc_transformer-big_2024-05-29.test.txt) |
|
* 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-afa/opusTCv20230926max50+bt+jhubc_transformer-big_2024-05-29.eval.txt) |
|
* benchmark results: [benchmark_results.txt](benchmark_results.txt) |
|
* benchmark output: [benchmark_translations.zip](benchmark_translations.zip) |
|
|
|
| langpair | testset | chr-F | BLEU | #sent | #words | |
|
|----------|---------|-------|-------|-------|--------| |
|
| deu-ara | tatoeba-test-v2021-08-07 | 0.49517 | 20.2 | 1209 | 6324 | |
|
| deu-heb | tatoeba-test-v2021-08-07 | 0.56943 | 35.8 | 3090 | 20341 | |
|
| eng-ara | tatoeba-test-v2021-08-07 | 0.46273 | 17.3 | 10305 | 61356 | |
|
| eng-heb | tatoeba-test-v2021-08-07 | 0.57708 | 34.9 | 10519 | 63628 | |
|
| eng-mlt | tatoeba-test-v2021-08-07 | 0.61044 | 29.5 | 203 | 899 | |
|
| fra-ara | tatoeba-test-v2021-08-07 | 0.42223 | 10.4 | 1569 | 7956 | |
|
| fra-heb | tatoeba-test-v2021-08-07 | 0.58681 | 37.5 | 3281 | 20655 | |
|
| por-heb | tatoeba-test-v2021-08-07 | 0.61593 | 41.0 | 719 | 4423 | |
|
| spa-ara | tatoeba-test-v2021-08-07 | 0.53669 | 23.9 | 1511 | 7547 | |
|
| spa-heb | tatoeba-test-v2021-08-07 | 0.61966 | 41.2 | 1849 | 12112 | |
|
| deu-ara | flores101-devtest | 0.47927 | 15.7 | 1012 | 21357 | |
|
| eng-hau | flores101-devtest | 0.47807 | 19.0 | 1012 | 27730 | |
|
| eng-mlt | flores101-devtest | 0.67196 | 32.9 | 1012 | 22169 | |
|
| fra-mlt | flores101-devtest | 0.56271 | 19.9 | 1012 | 22169 | |
|
| por-heb | flores101-devtest | 0.49378 | 19.6 | 1012 | 20749 | |
|
| spa-ara | flores101-devtest | 0.44988 | 11.7 | 1012 | 21357 | |
|
| deu-ara | flores200-devtest | 0.661 | 0.0 | 1012 | 5 | |
|
| deu-hau | flores200-devtest | 0.40471 | 11.4 | 1012 | 27730 | |
|
| deu-heb | flores200-devtest | 0.48645 | 18.1 | 1012 | 20238 | |
|
| deu-mlt | flores200-devtest | 0.54079 | 17.5 | 1012 | 22169 | |
|
| eng-ara | flores200-devtest | 0.627 | 0.0 | 1012 | 5 | |
|
| eng-arz | flores200-devtest | 0.42804 | 11.1 | 1012 | 21034 | |
|
| eng-hau | flores200-devtest | 0.49023 | 20.4 | 1012 | 27730 | |
|
| eng-heb | flores200-devtest | 0.56635 | 27.1 | 1012 | 20238 | |
|
| eng-mlt | flores200-devtest | 0.68334 | 34.9 | 1012 | 22169 | |
|
| eng-som | flores200-devtest | 0.42814 | 9.9 | 1012 | 25991 | |
|
| fra-ara | flores200-devtest | 0.631 | 0.0 | 1012 | 5 | |
|
| fra-hau | flores200-devtest | 0.42731 | 13.2 | 1012 | 27730 | |
|
| fra-heb | flores200-devtest | 0.49683 | 19.1 | 1012 | 20238 | |
|
| fra-mlt | flores200-devtest | 0.56844 | 20.4 | 1012 | 22169 | |
|
| por-ara | flores200-devtest | 0.622 | 0.0 | 1012 | 5 | |
|
| por-hau | flores200-devtest | 0.42593 | 13.6 | 1012 | 27730 | |
|
| por-heb | flores200-devtest | 0.50345 | 19.7 | 1012 | 20238 | |
|
| por-mlt | flores200-devtest | 0.58913 | 21.5 | 1012 | 22169 | |
|
| spa-ara | flores200-devtest | 0.587 | 0.0 | 1012 | 5 | |
|
| spa-hau | flores200-devtest | 0.40309 | 9.4 | 1012 | 27730 | |
|
| spa-heb | flores200-devtest | 0.45249 | 13.5 | 1012 | 20238 | |
|
| spa-mlt | flores200-devtest | 0.51077 | 12.7 | 1012 | 22169 | |
|
| eng-hau | newstest2021 | 0.43617 | 13.1 | 1000 | 32966 | |
|
| deu-hau | ntrex128 | 0.41931 | 12.5 | 1997 | 54982 | |
|
| deu-heb | ntrex128 | 0.43961 | 13.3 | 1997 | 39624 | |
|
| deu-mlt | ntrex128 | 0.49871 | 15.1 | 1997 | 43308 | |
|
| eng-hau | ntrex128 | 0.51601 | 23.2 | 1997 | 54982 | |
|
| eng-heb | ntrex128 | 0.50625 | 20.3 | 1997 | 39624 | |
|
| eng-mlt | ntrex128 | 0.62552 | 29.0 | 1997 | 43308 | |
|
| eng-som | ntrex128 | 0.46845 | 13.5 | 1997 | 49351 | |
|
| fra-hau | ntrex128 | 0.43729 | 14.5 | 1997 | 54982 | |
|
| fra-heb | ntrex128 | 0.43855 | 13.9 | 1997 | 39624 | |
|
| fra-mlt | ntrex128 | 0.51640 | 17.3 | 1997 | 43308 | |
|
| fra-som | ntrex128 | 0.41813 | 9.6 | 1997 | 49351 | |
|
| por-hau | ntrex128 | 0.44408 | 15.1 | 1997 | 54982 | |
|
| por-heb | ntrex128 | 0.45739 | 15.0 | 1997 | 39624 | |
|
| por-mlt | ntrex128 | 0.53719 | 18.2 | 1997 | 43308 | |
|
| por-som | ntrex128 | 0.41367 | 9.3 | 1997 | 49351 | |
|
| spa-hau | ntrex128 | 0.44695 | 14.8 | 1997 | 54982 | |
|
| spa-heb | ntrex128 | 0.45509 | 14.5 | 1997 | 39624 | |
|
| spa-mlt | ntrex128 | 0.53631 | 17.7 | 1997 | 43308 | |
|
| spa-som | ntrex128 | 0.41755 | 9.1 | 1997 | 49351 | |
|
| eng-ara | tico19-test | 0.56288 | 25.4 | 2100 | 51339 | |
|
| eng-hau | tico19-test | 0.50060 | 22.2 | 2100 | 64509 | |
|
| fra-amh | tico19-test | 3.575 | 1.3 | 2100 | 44782 | |
|
| fra-hau | tico19-test | 5.071 | 1.8 | 2100 | 64509 | |
|
| fra-orm | tico19-test | 4.044 | 1.8 | 2100 | 50032 | |
|
| fra-som | tico19-test | 2.698 | 0.9 | 2100 | 63654 | |
|
| fra-tir | tico19-test | 4.151 | 1.4 | 2100 | 46685 | |
|
| por-amh | tico19-test | 3.799 | 1.4 | 2100 | 44782 | |
|
| por-ara | tico19-test | 0.44442 | 16.0 | 2100 | 51339 | |
|
| por-hau | tico19-test | 5.786 | 2.0 | 2100 | 64509 | |
|
| por-orm | tico19-test | 4.613 | 2.0 | 2100 | 50032 | |
|
| por-som | tico19-test | 3.413 | 1.2 | 2100 | 63654 | |
|
| por-tir | tico19-test | 5.092 | 1.6 | 2100 | 46685 | |
|
| spa-amh | tico19-test | 3.831 | 1.4 | 2100 | 44782 | |
|
| spa-ara | tico19-test | 0.45429 | 16.5 | 2100 | 51339 | |
|
| spa-hau | tico19-test | 5.790 | 1.9 | 2100 | 64509 | |
|
| spa-orm | tico19-test | 4.617 | 1.9 | 2100 | 50032 | |
|
| spa-som | tico19-test | 3.402 | 1.2 | 2100 | 63654 | |
|
| spa-tir | tico19-test | 5.033 | 1.6 | 2100 | 46685 | |
|
|
|
## 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/). |
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|
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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 08:58:38 EEST 2024 |
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* port machine: LM0-400-22516.local |
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|
