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--- |
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library_name: transformers |
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language: |
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- bas |
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- bem |
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- bnt |
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- bss |
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- cce |
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- cjk |
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- cwe |
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- de |
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- dig |
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- dug |
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- en |
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- es |
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- fr |
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- gog |
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- gwr |
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- hay |
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- heh |
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- hz |
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- jmc |
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- kam |
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- kdc |
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- kdn |
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- kg |
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- ki |
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- kj |
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- kki |
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- kkj |
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- kmb |
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- ksb |
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- lem |
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- lg |
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- ln |
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- lon |
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- lsm |
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- lua |
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- luy |
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- mcp |
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- myx |
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- nd |
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- ng |
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- nim |
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- nnb |
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- nr |
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- nso |
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- nuj |
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- ny |
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- nyf |
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- nyn |
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- nyo |
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- nyy |
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- old |
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- ozm |
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- pkb |
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- pt |
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- rim |
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- rn |
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- rw |
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- seh |
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- sn |
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- ss |
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- st |
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- suk |
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- sw |
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- sxb |
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- thk |
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- tlj |
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- tn |
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- toh |
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- toi |
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- ts |
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- tum |
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- umb |
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- ve |
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- vmw |
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- vun |
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- wmw |
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- xh |
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- xog |
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- zu |
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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-bnt |
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results: |
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- task: |
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name: Translation deu-tsn |
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type: translation |
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args: deu-tsn |
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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-tsn |
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metrics: |
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- name: BLEU |
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type: bleu |
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value: 11.9 |
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- name: chr-F |
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type: chrf |
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value: 0.39738 |
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- task: |
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name: Translation eng-kin |
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type: translation |
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args: eng-kin |
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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-kin |
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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: 0.41492 |
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- task: |
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name: Translation eng-lin |
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type: translation |
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args: eng-lin |
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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-lin |
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metrics: |
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- name: BLEU |
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type: bleu |
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value: 14.7 |
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- name: chr-F |
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type: chrf |
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value: 0.45568 |
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- task: |
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name: Translation eng-nso |
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type: translation |
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args: eng-nso |
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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-nso |
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metrics: |
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- name: BLEU |
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type: bleu |
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value: 20.8 |
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- name: chr-F |
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type: chrf |
|
value: 0.48626 |
|
- task: |
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name: Translation eng-nya |
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type: translation |
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args: eng-nya |
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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-nya |
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metrics: |
|
- name: BLEU |
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type: bleu |
|
value: 10.7 |
|
- name: chr-F |
|
type: chrf |
|
value: 0.45067 |
|
- task: |
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name: Translation eng-sna |
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type: translation |
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args: eng-sna |
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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-sna |
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metrics: |
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- name: BLEU |
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type: bleu |
|
value: 10.1 |
|
- name: chr-F |
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type: chrf |
|
value: 0.45629 |
|
- task: |
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name: Translation eng-sot |
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type: translation |
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args: eng-sot |
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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-sot |
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metrics: |
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- name: BLEU |
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type: bleu |
|
value: 15.4 |
|
- name: chr-F |
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type: chrf |
|
value: 0.45331 |
|
- task: |
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name: Translation eng-tsn |
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type: translation |
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args: eng-tsn |
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dataset: |
|
name: flores200-devtest |
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type: flores200-devtest |
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args: eng-tsn |
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metrics: |
|
- name: BLEU |
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type: bleu |
|
value: 17.7 |
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- name: chr-F |
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type: chrf |
|
value: 0.45233 |
|
- task: |
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name: Translation eng-tso |
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type: translation |
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args: eng-tso |
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dataset: |
|
name: flores200-devtest |
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type: flores200-devtest |
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args: eng-tso |
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metrics: |
|
- name: BLEU |
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type: bleu |
|
value: 18.3 |
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- name: chr-F |
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type: chrf |
|
value: 0.48529 |
|
- task: |
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name: Translation eng-xho |
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type: translation |
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args: eng-xho |
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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-xho |
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metrics: |
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- name: BLEU |
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type: bleu |
|
value: 13.1 |
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- name: chr-F |
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type: chrf |
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value: 0.51974 |
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- task: |
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name: Translation eng-zul |
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type: translation |
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args: eng-zul |
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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-zul |
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metrics: |
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- name: BLEU |
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type: bleu |
|
value: 14.0 |
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- name: chr-F |
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type: chrf |
|
value: 0.53320 |
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- task: |
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name: Translation fra-lin |
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type: translation |
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args: fra-lin |
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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-lin |
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metrics: |
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- name: BLEU |
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type: bleu |
|
value: 13.0 |
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- name: chr-F |
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type: chrf |
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value: 0.44410 |
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- task: |
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name: Translation fra-tsn |
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type: translation |
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args: fra-tsn |
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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-tsn |
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metrics: |
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- name: BLEU |
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type: bleu |
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value: 12.0 |
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- name: chr-F |
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type: chrf |
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value: 0.39823 |
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- task: |
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name: Translation por-lin |
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type: translation |
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args: por-lin |
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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-lin |
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metrics: |
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- name: BLEU |
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type: bleu |
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value: 11.7 |
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- name: chr-F |
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type: chrf |
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value: 0.42944 |
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- task: |
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name: Translation por-tsn |
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type: translation |
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args: por-tsn |
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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-tsn |
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metrics: |
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- name: BLEU |
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type: bleu |
|
value: 10.5 |
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- name: chr-F |
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type: chrf |
|
value: 0.37629 |
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- task: |
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name: Translation eng-lin |
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type: translation |
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args: eng-lin |
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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 lin devtest |
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metrics: |
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- name: BLEU |
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type: bleu |
|
value: 13.2 |
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- name: chr-F |
|
type: chrf |
|
value: 0.43748 |
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- task: |
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name: Translation eng-nso |
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type: translation |
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args: eng-nso |
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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 nso devtest |
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metrics: |
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- name: BLEU |
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type: bleu |
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value: 19.4 |
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- name: chr-F |
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type: chrf |
|
value: 0.47122 |
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- task: |
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name: Translation eng-xho |
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type: translation |
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args: eng-xho |
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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 xho devtest |
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metrics: |
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- name: BLEU |
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type: bleu |
|
value: 11.6 |
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- name: chr-F |
|
type: chrf |
|
value: 0.50110 |
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- task: |
|
name: Translation por-lin |
|
type: translation |
|
args: por-lin |
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dataset: |
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name: flores101-devtest |
|
type: flores_101 |
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args: por lin devtest |
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metrics: |
|
- name: BLEU |
|
type: bleu |
|
value: 10.7 |
|
- name: chr-F |
|
type: chrf |
|
value: 0.41675 |
|
- task: |
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name: Translation deu-swa |
|
type: translation |
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args: deu-swa |
|
dataset: |
|
name: ntrex128 |
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type: ntrex128 |
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args: deu-swa |
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metrics: |
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- name: BLEU |
|
type: bleu |
|
value: 18.0 |
|
- name: chr-F |
|
type: chrf |
|
value: 0.48979 |
|
- task: |
|
name: Translation deu-tsn |
|
type: translation |
|
args: deu-tsn |
|
dataset: |
|
name: ntrex128 |
|
type: ntrex128 |
|
args: deu-tsn |
|
metrics: |
|
- name: BLEU |
|
type: bleu |
|
value: 15.4 |
|
- name: chr-F |
|
type: chrf |
|
value: 0.41894 |
|
- task: |
|
name: Translation eng-kin |
|
type: translation |
|
args: eng-kin |
|
dataset: |
|
name: ntrex128 |
|
type: ntrex128 |
|
args: eng-kin |
|
metrics: |
|
- name: BLEU |
|
type: bleu |
|
value: 10.5 |
|
- name: chr-F |
|
type: chrf |
|
value: 0.39546 |
|
- task: |
|
name: Translation eng-nya |
|
type: translation |
|
args: eng-nya |
|
dataset: |
|
name: ntrex128 |
|
type: ntrex128 |
|
args: eng-nya |
|
metrics: |
|
- name: BLEU |
|
type: bleu |
|
value: 14.9 |
|
- name: chr-F |
|
type: chrf |
|
value: 0.46801 |
|
- task: |
|
name: Translation eng-swa |
|
type: translation |
|
args: eng-swa |
|
dataset: |
|
name: ntrex128 |
|
type: ntrex128 |
|
args: eng-swa |
|
metrics: |
|
- name: BLEU |
|
type: bleu |
|
value: 33.4 |
|
- name: chr-F |
|
type: chrf |
|
value: 0.60117 |
|
- task: |
|
name: Translation eng-tsn |
|
type: translation |
|
args: eng-tsn |
|
dataset: |
|
name: ntrex128 |
|
type: ntrex128 |
|
args: eng-tsn |
|
metrics: |
|
- name: BLEU |
|
type: bleu |
|
value: 22.2 |
|
- name: chr-F |
|
type: chrf |
|
value: 0.46599 |
|
- task: |
|
name: Translation eng-xho |
|
type: translation |
|
args: eng-xho |
|
dataset: |
|
name: ntrex128 |
|
type: ntrex128 |
|
args: eng-xho |
|
metrics: |
|
- name: BLEU |
|
type: bleu |
|
value: 11.2 |
|
- name: chr-F |
|
type: chrf |
|
value: 0.48847 |
|
- task: |
|
name: Translation eng-zul |
|
type: translation |
|
args: eng-zul |
|
dataset: |
|
name: ntrex128 |
|
type: ntrex128 |
|
args: eng-zul |
|
metrics: |
|
- name: BLEU |
|
type: bleu |
|
value: 10.7 |
|
- name: chr-F |
|
type: chrf |
|
value: 0.49764 |
|
- task: |
|
name: Translation fra-swa |
|
type: translation |
|
args: fra-swa |
|
dataset: |
|
name: ntrex128 |
|
type: ntrex128 |
|
args: fra-swa |
|
metrics: |
|
- name: BLEU |
|
type: bleu |
|
value: 17.5 |
|
- name: chr-F |
|
type: chrf |
|
value: 0.45494 |
|
- task: |
|
name: Translation fra-tsn |
|
type: translation |
|
args: fra-tsn |
|
dataset: |
|
name: ntrex128 |
|
type: ntrex128 |
|
args: fra-tsn |
|
metrics: |
|
- name: BLEU |
|
type: bleu |
|
value: 15.3 |
|
- name: chr-F |
|
type: chrf |
|
value: 0.41426 |
|
- task: |
|
name: Translation por-swa |
|
type: translation |
|
args: por-swa |
|
dataset: |
|
name: ntrex128 |
|
type: ntrex128 |
|
args: por-swa |
|
metrics: |
|
- name: BLEU |
|
type: bleu |
|
value: 18.0 |
|
- name: chr-F |
|
type: chrf |
|
value: 0.46465 |
|
- task: |
|
name: Translation por-tsn |
|
type: translation |
|
args: por-tsn |
|
dataset: |
|
name: ntrex128 |
|
type: ntrex128 |
|
args: por-tsn |
|
metrics: |
|
- name: BLEU |
|
type: bleu |
|
value: 14.5 |
|
- name: chr-F |
|
type: chrf |
|
value: 0.40236 |
|
- task: |
|
name: Translation spa-swa |
|
type: translation |
|
args: spa-swa |
|
dataset: |
|
name: ntrex128 |
|
type: ntrex128 |
|
args: spa-swa |
|
metrics: |
|
- name: BLEU |
|
type: bleu |
|
value: 18.1 |
|
- name: chr-F |
|
type: chrf |
|
value: 0.46670 |
|
- task: |
|
name: Translation spa-tsn |
|
type: translation |
|
args: spa-tsn |
|
dataset: |
|
name: ntrex128 |
|
type: ntrex128 |
|
args: spa-tsn |
|
metrics: |
|
- name: BLEU |
|
type: bleu |
|
value: 14.2 |
|
- name: chr-F |
|
type: chrf |
|
value: 0.40263 |
|
- task: |
|
name: Translation eng-swa |
|
type: translation |
|
args: eng-swa |
|
dataset: |
|
name: tatoeba-test-v2021-08-07 |
|
type: tatoeba_mt |
|
args: eng-swa |
|
metrics: |
|
- name: BLEU |
|
type: bleu |
|
value: 32.7 |
|
- name: chr-F |
|
type: chrf |
|
value: 0.60298 |
|
- task: |
|
name: Translation eng-kin |
|
type: translation |
|
args: eng-kin |
|
dataset: |
|
name: tico19-test |
|
type: tico19-test |
|
args: eng-kin |
|
metrics: |
|
- name: BLEU |
|
type: bleu |
|
value: 11.3 |
|
- name: chr-F |
|
type: chrf |
|
value: 0.40952 |
|
- task: |
|
name: Translation eng-lin |
|
type: translation |
|
args: eng-lin |
|
dataset: |
|
name: tico19-test |
|
type: tico19-test |
|
args: eng-lin |
|
metrics: |
|
- name: BLEU |
|
type: bleu |
|
value: 15.5 |
|
- name: chr-F |
|
type: chrf |
|
value: 0.44670 |
|
- task: |
|
name: Translation eng-lug |
|
type: translation |
|
args: eng-lug |
|
dataset: |
|
name: tico19-test |
|
type: tico19-test |
|
args: eng-lug |
|
metrics: |
|
- name: BLEU |
|
type: bleu |
|
value: 10.9 |
|
- name: chr-F |
|
type: chrf |
|
value: 0.38546 |
|
- task: |
|
name: Translation eng-swa |
|
type: translation |
|
args: eng-swa |
|
dataset: |
|
name: tico19-test |
|
type: tico19-test |
|
args: eng-swa |
|
metrics: |
|
- name: BLEU |
|
type: bleu |
|
value: 28.0 |
|
- name: chr-F |
|
type: chrf |
|
value: 0.56798 |
|
- task: |
|
name: Translation eng-zul |
|
type: translation |
|
args: eng-zul |
|
dataset: |
|
name: tico19-test |
|
type: tico19-test |
|
args: eng-zul |
|
metrics: |
|
- name: BLEU |
|
type: bleu |
|
value: 14.4 |
|
- name: chr-F |
|
type: chrf |
|
value: 0.53624 |
|
- task: |
|
name: Translation fra-lin |
|
type: translation |
|
args: fra-lin |
|
dataset: |
|
name: tico19-test |
|
type: tico19-test |
|
args: fra-lin |
|
metrics: |
|
- name: BLEU |
|
type: bleu |
|
value: 12.0 |
|
- name: chr-F |
|
type: chrf |
|
value: 0.39748 |
|
- task: |
|
name: Translation fra-swa |
|
type: translation |
|
args: fra-swa |
|
dataset: |
|
name: tico19-test |
|
type: tico19-test |
|
args: fra-swa |
|
metrics: |
|
- name: BLEU |
|
type: bleu |
|
value: 16.8 |
|
- name: chr-F |
|
type: chrf |
|
value: 0.44926 |
|
- task: |
|
name: Translation por-lin |
|
type: translation |
|
args: por-lin |
|
dataset: |
|
name: tico19-test |
|
type: tico19-test |
|
args: por-lin |
|
metrics: |
|
- name: BLEU |
|
type: bleu |
|
value: 12.5 |
|
- name: chr-F |
|
type: chrf |
|
value: 0.41729 |
|
- task: |
|
name: Translation por-swa |
|
type: translation |
|
args: por-swa |
|
dataset: |
|
name: tico19-test |
|
type: tico19-test |
|
args: por-swa |
|
metrics: |
|
- name: BLEU |
|
type: bleu |
|
value: 19.6 |
|
- name: chr-F |
|
type: chrf |
|
value: 0.49303 |
|
- task: |
|
name: Translation spa-lin |
|
type: translation |
|
args: spa-lin |
|
dataset: |
|
name: tico19-test |
|
type: tico19-test |
|
args: spa-lin |
|
metrics: |
|
- name: BLEU |
|
type: bleu |
|
value: 12.1 |
|
- name: chr-F |
|
type: chrf |
|
value: 0.41645 |
|
- task: |
|
name: Translation spa-swa |
|
type: translation |
|
args: spa-swa |
|
dataset: |
|
name: tico19-test |
|
type: tico19-test |
|
args: spa-swa |
|
metrics: |
|
- name: BLEU |
|
type: bleu |
|
value: 18.8 |
|
- name: chr-F |
|
type: chrf |
|
value: 0.48614 |
|
--- |
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# opus-mt-tc-bible-big-deu_eng_fra_por_spa-bnt |
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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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## Model Details |
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Neural machine translation model for translating from unknown (deu+eng+fra+por+spa) to Bantu languages (bnt). |
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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): deu eng fra por spa |
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- Target Language(s): bas bem bnt bss cce cjk cwe dig dug gog gwr hay heh her jmc kam kdc kdn kik kin kki kkj kmb kng kon ksb kua ldi lem lin lon lsm lua lug luy mcp myx nbl nde ndo nim nnb nso nuj nya nyf nyn nyo nyy old ozm pkb rim run seh sna sot ssw suk swa swc swh sxb thk tlj toh toi tsn tso tum umb ven vmw vun wmw xho xog zul |
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- Valid Target Language Labels: >>abb<< >>agh<< >>akw<< >>asa<< >>auh<< >>axk<< >>baf<< >>bag<< >>bas<< >>bbg<< >>bbi<< >>bbm<< >>bcp<< >>bdp<< >>bdu<< >>beb<< >>bem<< >>beq<< >>bez<< >>bhy<< >>bip<< >>biw<< >>biz<< >>bja<< >>bkf<< >>bkh<< >>bkj<< >>bkp<< >>bkt<< >>bkw<< >>bli<< >>blv<< >>bmb<< >>bmg<< >>bml<< >>bmw<< >>bng<< >>bni<< >>bnm<< >>bnt_Latn<< >>bnx<< >>boh<< >>bok<< >>bou<< >>boy<< >>bpj<< >>bqm<< >>bqu<< >>bqz<< >>brf<< >>bri<< >>brl<< >>bsi<< >>bss<< >>btb<< >>btc<< >>buf<< >>bui<< >>bum<< >>buu<< >>buw<< >>bvb<< >>bvg<< >>bvx<< >>bwc<< >>bwg<< >>bwl<< >>bws<< >>bwt<< >>bww<< >>bwz<< >>bxc<< >>bxg<< >>bxp<< >>byi<< >>bzm<< >>bzo<< >>cce<< >>ccl<< >>cgg<< >>chw<< >>cjk<< >>cjk_Latn<< >>coh<< >>cuh<< >>cwa<< >>cwb<< >>cwe<< >>dav<< >>dde<< >>dez<< >>dhm<< >>dhs<< >>dig<< >>dii<< >>diu<< >>diz<< >>dma<< >>dmx<< >>dne<< >>doe<< >>dov<< >>dua<< >>dug<< >>dzn<< >>ebo<< >>ebu<< >>ekm<< >>eko<< >>eto<< >>ewo<< >>fan<< >>fip<< >>flr<< >>fwe<< >>gev<< >>gey<< >>gmx<< >>gog<< >>guz<< >>gwe<< >>gwr<< >>gyi<< >>han<< >>haq<< >>hav<< >>hay<< >>hba<< >>heh<< >>hem<< >>her<< >>hij<< >>hka<< >>hke<< >>hol<< >>hom<< >>hoo<< >>hum<< >>ifm<< >>ikz<< >>ilb<< >>isn<< >>iyx<< >>jgb<< >>jit<< >>jmc<< >>job<< >>kam<< >>kbj<< >>kbs<< >>kck<< >>kcu<< >>kcv<< >>kcw<< >>kcz<< >>kdc<< >>kde<< >>kdg<< >>kdn<< >>keb<< >>ked<< >>khu<< >>khx<< >>khy<< >>kik<< >>kin<< >>kiv<< >>kiz<< >>kki<< >>kkj<< >>kkq<< >>kkw<< >>kmb<< >>kme<< >>kmw<< >>kng<< >>kny<< >>koh<< >>kon<< >>koo<< >>koq<< >>kqn<< >>ksb<< >>ksf<< >>ksv<< >>ktf<< >>ktu<< >>kty<< >>kua<< >>kuj<< >>kwc<< >>kwm<< >>kwn<< >>kws<< >>kwu<< >>kxx<< >>kya<< >>kzn<< >>kzo<< >>kzy<< >>lag<< >>lai<< >>lam<< >>lch<< >>ldi<< >>lea<< >>leb<< >>leh<< >>lej<< >>lel<< >>lem<< >>leo<< >>lfa<< >>lgm<< >>lgz<< >>lie<< >>lik<< >>lin<< >>liz<< >>lke<< >>llb<< >>lli<< >>lnb<< >>lol<< >>lon<< >>loo<< >>loq<< >>loz<< >>lse<< >>lsm<< >>lua<< >>lub<< >>lue<< >>lug<< >>luj<< >>lum<< >>lun<< >>lup<< >>luy<< >>lwa<< >>lyn<< >>mbm<< >>mbo<< >>mck<< >>mcp<< >>mcx<< >>mdn<< >>mdp<< >>mdq<< >>mdt<< >>mdu<< >>mdw<< >>mer<< >>mfu<< >>mgg<< >>mgh<< >>mgq<< >>mgr<< >>mgs<< >>mgv<< >>mgw<< >>mgy<< >>mgz<< >>mhb<< >>mhm<< >>mho<< >>mhw<< >>mjh<< >>mkk<< >>mkw<< >>mlb<< >>mlk<< >>mmu<< >>mmz<< >>mny<< >>mow<< >>mpa<< >>mvw<< >>mwe<< >>mwn<< >>mws<< >>mwz<< >>mxc<< >>mxg<< >>mxo<< >>myc<< >>mye<< >>myx<< >>mzd<< >>nba<< >>nbd<< >>nbl<< >>nda<< >>ndc<< >>nde<< >>ndg<< >>ndh<< >>ndj<< >>ndk<< >>ndl<< >>ndn<< >>ndo<< >>ndq<< >>ndw<< >>ngc<< >>ngd<< >>ngl<< >>ngo<< >>ngp<< >>ngq<< >>ngy<< >>ngz<< >>nih<< >>nim<< >>nix<< >>njx<< >>njy<< >>nka<< >>nkc<< >>nkn<< >>nkt<< >>nkv<< >>nkw<< >>nlj<< >>nlo<< >>nmd<< >>nmg<< >>nmq<< >>nnb<< >>nnb_Latn<< >>nne<< >>nnq<< >>noq<< >>now<< >>nql<< >>nra<< >>nse<< >>nso<< >>nsx<< >>nte<< >>ntk<< >>nto<< >>nui<< >>nuj<< >>nvo<< >>nxd<< >>nxi<< >>nxo<< >>nya<< >>nyc<< >>nye<< >>nyf<< >>nyg<< >>nyj<< >>nyk<< >>nym<< >>nyn<< >>nyo<< >>nyr<< >>nyu<< >>nyy<< >>nzb<< >>nzd<< >>old<< >>olu<< >>oml<< >>ozm<< >>pae<< >>pbr<< >>pem<< >>phm<< >>pic<< >>piw<< >>pkb<< >>pmm<< >>pof<< >>poy<< >>puu<< >>reg<< >>rim<< >>rnd<< >>rng<< >>rnw<< >>rof<< >>rub<< >>ruc<< >>ruf<< >>run<< >>rwk<< >>rwm<< >>sak<< >>sbk<< >>sbm<< >>sbp<< >>sbs<< >>sbw<< >>sby<< >>sdj<< >>seg<< >>seh<< >>sgm<< >>shc<< >>shq<< >>shr<< >>sie<< >>skt<< >>slx<< >>smd<< >>smx<< >>sna<< >>sng<< >>snq<< >>soc<< >>sod<< >>soe<< >>soo<< >>sop<< >>sot<< >>sox<< >>soz<< >>ssc<< >>ssw<< >>sub<< >>suj<< >>suk<< >>suw<< >>swa<< >>swb<< >>swc<< >>swh<< >>swj<< >>swk<< >>sxb<< >>sxe<< >>syi<< >>syx<< >>szg<< >>szv<< >>tap<< >>tbt<< >>tck<< >>teg<< >>tek<< >>tga<< >>thk<< >>tii<< >>tke<< >>tlj<< >>tll<< >>tmv<< >>tny<< >>tog<< >>toh<< >>toi<< >>toi_Latn<< >>tsa<< >>tsc<< >>tsn<< >>tso<< >>tsv<< >>ttf<< >>ttj<< >>ttl<< >>tum<< >>tvs<< >>tvu<< >>twl<< >>two<< >>twx<< >>tyi<< >>tyx<< >>ukh<< >>umb<< >>vau<< >>ven<< >>vid<< >>vif<< >>vin<< >>vmk<< >>vmr<< >>vmw<< >>vum<< >>vun<< >>wbh<< >>wbi<< >>wdd<< >>wlc<< >>wmw<< >>wni<< >>won<< >>wum<< >>wun<< >>xdo<< >>xho<< >>xku<< >>xkv<< >>xma<< >>xmc<< >>xog<< >>xsq<< >>yaf<< >>yao<< >>yas<< >>yat<< >>yav<< >>yel<< >>yey<< >>yko<< >>ymk<< >>yns<< >>yom<< >>zaj<< >>zak<< >>zdj<< >>zga<< >>zin<< >>zmb<< >>zmf<< >>zmn<< >>zmp<< >>zmq<< >>zms<< >>zmw<< >>zmx<< >>zul<< |
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- **Original Model**: [opusTCv20230926max50+bt+jhubc_transformer-big_2024-05-30.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/deu+eng+fra+por+spa-bnt/opusTCv20230926max50+bt+jhubc_transformer-big_2024-05-30.zip) |
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- **Resources for more information:** |
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- [OPUS-MT dashboard](https://opus.nlpl.eu/dashboard/index.php?pkg=opusmt&test=all&scoreslang=all&chart=standard&model=Tatoeba-MT-models/deu%2Beng%2Bfra%2Bpor%2Bspa-bnt/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. `>>bas<<` |
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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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">>bas<< Replace this with text in an accepted source language.", |
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">>zul<< This is the second sentence." |
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] |
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model_name = "pytorch-models/opus-mt-tc-bible-big-deu_eng_fra_por_spa-bnt" |
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tokenizer = MarianTokenizer.from_pretrained(model_name) |
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model = MarianMTModel.from_pretrained(model_name) |
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translated = model.generate(**tokenizer(src_text, return_tensors="pt", padding=True)) |
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for t in translated: |
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print( tokenizer.decode(t, skip_special_tokens=True) ) |
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``` |
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You can also use OPUS-MT models with the transformers pipelines, for example: |
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```python |
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from transformers import pipeline |
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pipe = pipeline("translation", model="Helsinki-NLP/opus-mt-tc-bible-big-deu_eng_fra_por_spa-bnt") |
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print(pipe(">>bas<< Replace this with text in an accepted source language.")) |
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``` |
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## Training |
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- **Data**: opusTCv20230926max50+bt+jhubc ([source](https://github.com/Helsinki-NLP/Tatoeba-Challenge)) |
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- **Pre-processing**: SentencePiece (spm32k,spm32k) |
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- **Model Type:** transformer-big |
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- **Original MarianNMT Model**: [opusTCv20230926max50+bt+jhubc_transformer-big_2024-05-30.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/deu+eng+fra+por+spa-bnt/opusTCv20230926max50+bt+jhubc_transformer-big_2024-05-30.zip) |
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- **Training Scripts**: [GitHub Repo](https://github.com/Helsinki-NLP/OPUS-MT-train) |
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## Evaluation |
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* [Model scores at the OPUS-MT dashboard](https://opus.nlpl.eu/dashboard/index.php?pkg=opusmt&test=all&scoreslang=all&chart=standard&model=Tatoeba-MT-models/deu%2Beng%2Bfra%2Bpor%2Bspa-bnt/opusTCv20230926max50%2Bbt%2Bjhubc_transformer-big_2024-05-30) |
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* test set translations: [opusTCv20230926max50+bt+jhubc_transformer-big_2024-05-29.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/deu+eng+fra+por+spa-bnt/opusTCv20230926max50+bt+jhubc_transformer-big_2024-05-29.test.txt) |
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* test set scores: [opusTCv20230926max50+bt+jhubc_transformer-big_2024-05-29.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/deu+eng+fra+por+spa-bnt/opusTCv20230926max50+bt+jhubc_transformer-big_2024-05-29.eval.txt) |
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* benchmark results: [benchmark_results.txt](benchmark_results.txt) |
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* benchmark output: [benchmark_translations.zip](benchmark_translations.zip) |
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| langpair | testset | chr-F | BLEU | #sent | #words | |
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|----------|---------|-------|-------|-------|--------| |
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| eng-run | tatoeba-test-v2021-08-07 | 0.44207 | 11.8 | 1703 | 6710 | |
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| eng-swa | tatoeba-test-v2021-08-07 | 0.60298 | 32.7 | 387 | 1888 | |
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| fra-run | tatoeba-test-v2021-08-07 | 0.42664 | 11.2 | 1274 | 5081 | |
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| spa-run | tatoeba-test-v2021-08-07 | 0.41921 | 10.5 | 963 | 3886 | |
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| eng-lin | flores101-devtest | 0.43748 | 13.2 | 1012 | 26769 | |
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| eng-nso | flores101-devtest | 0.47122 | 19.4 | 1012 | 31298 | |
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| eng-sna | flores101-devtest | 0.44294 | 9.4 | 1012 | 20105 | |
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| eng-xho | flores101-devtest | 0.50110 | 11.6 | 1012 | 18227 | |
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| fra-sna | flores101-devtest | 0.40676 | 6.2 | 1012 | 20105 | |
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| por-lin | flores101-devtest | 0.41675 | 10.7 | 1012 | 26769 | |
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| spa-lin | flores101-devtest | 0.40631 | 8.8 | 1012 | 26769 | |
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| deu-lin | flores200-devtest | 0.40763 | 9.9 | 1012 | 26769 | |
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| deu-xho | flores200-devtest | 0.40586 | 4.8 | 1012 | 18227 | |
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| eng-kin | flores200-devtest | 0.41492 | 11.1 | 1012 | 22774 | |
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| eng-lin | flores200-devtest | 0.45568 | 14.7 | 1012 | 26769 | |
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| eng-nso | flores200-devtest | 0.48626 | 20.8 | 1012 | 31298 | |
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| eng-nya | flores200-devtest | 0.45067 | 10.7 | 1012 | 22180 | |
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| eng-sna | flores200-devtest | 0.45629 | 10.1 | 1012 | 20105 | |
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| eng-sot | flores200-devtest | 0.45331 | 15.4 | 1012 | 31600 | |
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| eng-ssw | flores200-devtest | 0.43635 | 7.1 | 1012 | 18508 | |
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| eng-tsn | flores200-devtest | 0.45233 | 17.7 | 1012 | 33831 | |
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| eng-tso | flores200-devtest | 0.48529 | 18.3 | 1012 | 29548 | |
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| eng-xho | flores200-devtest | 0.51974 | 13.1 | 1012 | 18227 | |
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| eng-zul | flores200-devtest | 0.53320 | 14.0 | 1012 | 18556 | |
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| fra-lin | flores200-devtest | 0.44410 | 13.0 | 1012 | 26769 | |
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| fra-sna | flores200-devtest | 0.42053 | 6.9 | 1012 | 20105 | |
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| fra-xho | flores200-devtest | 0.44537 | 7.1 | 1012 | 18227 | |
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| fra-zul | flores200-devtest | 0.41291 | 5.7 | 1012 | 18556 | |
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| por-lin | flores200-devtest | 0.42944 | 11.7 | 1012 | 26769 | |
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| por-xho | flores200-devtest | 0.41363 | 5.8 | 1012 | 18227 | |
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| spa-lin | flores200-devtest | 0.41938 | 9.4 | 1012 | 26769 | |
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| deu-swa | ntrex128 | 0.48979 | 18.0 | 1997 | 46859 | |
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| deu-tsn | ntrex128 | 0.41894 | 15.4 | 1997 | 71271 | |
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| eng-nya | ntrex128 | 0.46801 | 14.9 | 1997 | 43727 | |
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| eng-ssw | ntrex128 | 0.42880 | 6.7 | 1997 | 36169 | |
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| eng-swa | ntrex128 | 0.60117 | 33.4 | 1997 | 46859 | |
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| eng-tsn | ntrex128 | 0.46599 | 22.2 | 1997 | 71271 | |
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| eng-xho | ntrex128 | 0.48847 | 11.2 | 1997 | 35439 | |
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| eng-zul | ntrex128 | 0.49764 | 10.7 | 1997 | 34438 | |
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| fra-swa | ntrex128 | 0.45494 | 17.5 | 1997 | 46859 | |
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| fra-tsn | ntrex128 | 0.41426 | 15.3 | 1997 | 71271 | |
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| fra-xho | ntrex128 | 0.41206 | 5.2 | 1997 | 35439 | |
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| por-swa | ntrex128 | 0.46465 | 18.0 | 1997 | 46859 | |
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| por-tsn | ntrex128 | 0.40236 | 14.5 | 1997 | 71271 | |
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| por-xho | ntrex128 | 0.40070 | 5.0 | 1997 | 35439 | |
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| spa-swa | ntrex128 | 0.46670 | 18.1 | 1997 | 46859 | |
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| spa-tsn | ntrex128 | 0.40263 | 14.2 | 1997 | 71271 | |
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| spa-xho | ntrex128 | 0.40247 | 4.9 | 1997 | 35439 | |
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| eng-kin | tico19-test | 0.40952 | 11.3 | 2100 | 55034 | |
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| eng-lin | tico19-test | 0.44670 | 15.5 | 2100 | 61116 | |
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| eng-swa | tico19-test | 0.56798 | 28.0 | 2100 | 58846 | |
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| eng-zul | tico19-test | 0.53624 | 14.4 | 2100 | 44098 | |
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| fra-swa | tico19-test | 0.44926 | 16.8 | 2100 | 58846 | |
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| fra-zul | tico19-test | 0.40588 | 6.0 | 2100 | 44098 | |
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| por-lin | tico19-test | 0.41729 | 12.5 | 2100 | 61116 | |
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| por-swa | tico19-test | 0.49303 | 19.6 | 2100 | 58846 | |
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| spa-lin | tico19-test | 0.41645 | 12.1 | 2100 | 61116 | |
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| spa-swa | tico19-test | 0.48614 | 18.8 | 2100 | 58846 | |
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| spa-zul | tico19-test | 0.40058 | 5.3 | 2100 | 44098 | |
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## Citation Information |
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* Publications: [Democratizing neural machine translation with OPUS-MT](https://doi.org/10.1007/s10579-023-09704-w) and [OPUS-MT – Building open translation services for the World](https://aclanthology.org/2020.eamt-1.61/) and [The Tatoeba Translation Challenge – Realistic Data Sets for Low Resource and Multilingual MT](https://aclanthology.org/2020.wmt-1.139/) (Please, cite if you use this model.) |
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```bibtex |
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@article{tiedemann2023democratizing, |
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title={Democratizing neural machine translation with {OPUS-MT}}, |
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author={Tiedemann, J{\"o}rg and Aulamo, Mikko and Bakshandaeva, Daria and Boggia, Michele and Gr{\"o}nroos, Stig-Arne and Nieminen, Tommi and Raganato, Alessandro and Scherrer, Yves and Vazquez, Raul and Virpioja, Sami}, |
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journal={Language Resources and Evaluation}, |
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number={58}, |
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pages={713--755}, |
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year={2023}, |
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publisher={Springer Nature}, |
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issn={1574-0218}, |
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doi={10.1007/s10579-023-09704-w} |
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} |
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@inproceedings{tiedemann-thottingal-2020-opus, |
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title = "{OPUS}-{MT} {--} Building open translation services for the World", |
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author = {Tiedemann, J{\"o}rg and Thottingal, Santhosh}, |
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booktitle = "Proceedings of the 22nd Annual Conference of the European Association for Machine Translation", |
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month = nov, |
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year = "2020", |
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address = "Lisboa, Portugal", |
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publisher = "European Association for Machine Translation", |
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url = "https://aclanthology.org/2020.eamt-1.61", |
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pages = "479--480", |
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} |
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@inproceedings{tiedemann-2020-tatoeba, |
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title = "The Tatoeba Translation Challenge {--} Realistic Data Sets for Low Resource and Multilingual {MT}", |
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author = {Tiedemann, J{\"o}rg}, |
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booktitle = "Proceedings of the Fifth Conference on Machine Translation", |
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month = nov, |
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year = "2020", |
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address = "Online", |
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publisher = "Association for Computational Linguistics", |
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url = "https://aclanthology.org/2020.wmt-1.139", |
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pages = "1174--1182", |
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} |
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``` |
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## Acknowledgements |
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The work is supported by the [HPLT project](https://hplt-project.org/), funded by the European Union’s Horizon Europe research and innovation programme under grant agreement No 101070350. We are also grateful for the generous computational resources and IT infrastructure provided by [CSC -- IT Center for Science](https://www.csc.fi/), Finland, and the [EuroHPC supercomputer LUMI](https://www.lumi-supercomputer.eu/). |
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## Model conversion info |
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* transformers version: 4.45.1 |
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* OPUS-MT git hash: 0882077 |
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* port time: Tue Oct 8 09:00:33 EEST 2024 |
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* port machine: LM0-400-22516.local |
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