|
--- |
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language: |
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- bg |
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- es |
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- fr |
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- hr |
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- it |
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- mk |
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- pt |
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- ro |
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- sh |
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- sl |
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- sr |
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language_bcp47: |
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- sr_Cyrl |
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- sr_Latn |
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tags: |
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- translation |
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- opus-mt-tc |
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license: cc-by-4.0 |
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model-index: |
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- name: opus-mt-tc-big-zls-itc |
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results: |
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- task: |
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name: Translation bul-fra |
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type: translation |
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args: bul-fra |
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dataset: |
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name: flores101-devtest |
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type: flores_101 |
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args: bul fra devtest |
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metrics: |
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- name: BLEU |
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type: bleu |
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value: 34.4 |
|
- name: chr-F |
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type: chrf |
|
value: 0.60640 |
|
- task: |
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name: Translation bul-ita |
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type: translation |
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args: bul-ita |
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dataset: |
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name: flores101-devtest |
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type: flores_101 |
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args: bul ita devtest |
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metrics: |
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- name: BLEU |
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type: bleu |
|
value: 24.0 |
|
- name: chr-F |
|
type: chrf |
|
value: 0.54135 |
|
- task: |
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name: Translation bul-por |
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type: translation |
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args: bul-por |
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dataset: |
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name: flores101-devtest |
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type: flores_101 |
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args: bul por devtest |
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metrics: |
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- name: BLEU |
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type: bleu |
|
value: 32.4 |
|
- name: chr-F |
|
type: chrf |
|
value: 0.59322 |
|
- task: |
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name: Translation bul-ron |
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type: translation |
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args: bul-ron |
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dataset: |
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name: flores101-devtest |
|
type: flores_101 |
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args: bul ron devtest |
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metrics: |
|
- name: BLEU |
|
type: bleu |
|
value: 27.1 |
|
- name: chr-F |
|
type: chrf |
|
value: 0.55558 |
|
- task: |
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name: Translation bul-spa |
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type: translation |
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args: bul-spa |
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dataset: |
|
name: flores101-devtest |
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type: flores_101 |
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args: bul spa devtest |
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metrics: |
|
- name: BLEU |
|
type: bleu |
|
value: 22.4 |
|
- name: chr-F |
|
type: chrf |
|
value: 0.50962 |
|
- task: |
|
name: Translation hrv-fra |
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type: translation |
|
args: hrv-fra |
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dataset: |
|
name: flores101-devtest |
|
type: flores_101 |
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args: hrv fra devtest |
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metrics: |
|
- name: BLEU |
|
type: bleu |
|
value: 33.1 |
|
- name: chr-F |
|
type: chrf |
|
value: 0.59349 |
|
- task: |
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name: Translation hrv-ita |
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type: translation |
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args: hrv-ita |
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dataset: |
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name: flores101-devtest |
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type: flores_101 |
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args: hrv ita devtest |
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metrics: |
|
- name: BLEU |
|
type: bleu |
|
value: 23.5 |
|
- name: chr-F |
|
type: chrf |
|
value: 0.52980 |
|
- task: |
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name: Translation hrv-por |
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type: translation |
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args: hrv-por |
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dataset: |
|
name: flores101-devtest |
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type: flores_101 |
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args: hrv por devtest |
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metrics: |
|
- name: BLEU |
|
type: bleu |
|
value: 30.2 |
|
- name: chr-F |
|
type: chrf |
|
value: 0.57402 |
|
- task: |
|
name: Translation hrv-ron |
|
type: translation |
|
args: hrv-ron |
|
dataset: |
|
name: flores101-devtest |
|
type: flores_101 |
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args: hrv ron devtest |
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metrics: |
|
- name: BLEU |
|
type: bleu |
|
value: 25.9 |
|
- name: chr-F |
|
type: chrf |
|
value: 0.53650 |
|
- task: |
|
name: Translation hrv-spa |
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type: translation |
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args: hrv-spa |
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dataset: |
|
name: flores101-devtest |
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type: flores_101 |
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args: hrv spa devtest |
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metrics: |
|
- name: BLEU |
|
type: bleu |
|
value: 21.5 |
|
- name: chr-F |
|
type: chrf |
|
value: 0.50161 |
|
- task: |
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name: Translation mkd-fra |
|
type: translation |
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args: mkd-fra |
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dataset: |
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name: flores101-devtest |
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type: flores_101 |
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args: mkd fra devtest |
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metrics: |
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- name: BLEU |
|
type: bleu |
|
value: 35.2 |
|
- name: chr-F |
|
type: chrf |
|
value: 0.60801 |
|
- task: |
|
name: Translation mkd-ita |
|
type: translation |
|
args: mkd-ita |
|
dataset: |
|
name: flores101-devtest |
|
type: flores_101 |
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args: mkd ita devtest |
|
metrics: |
|
- name: BLEU |
|
type: bleu |
|
value: 23.9 |
|
- name: chr-F |
|
type: chrf |
|
value: 0.53543 |
|
- task: |
|
name: Translation mkd-por |
|
type: translation |
|
args: mkd-por |
|
dataset: |
|
name: flores101-devtest |
|
type: flores_101 |
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args: mkd por devtest |
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metrics: |
|
- name: BLEU |
|
type: bleu |
|
value: 33.9 |
|
- name: chr-F |
|
type: chrf |
|
value: 0.59648 |
|
- task: |
|
name: Translation mkd-ron |
|
type: translation |
|
args: mkd-ron |
|
dataset: |
|
name: flores101-devtest |
|
type: flores_101 |
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args: mkd ron devtest |
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metrics: |
|
- name: BLEU |
|
type: bleu |
|
value: 28.0 |
|
- name: chr-F |
|
type: chrf |
|
value: 0.54998 |
|
- task: |
|
name: Translation mkd-spa |
|
type: translation |
|
args: mkd-spa |
|
dataset: |
|
name: flores101-devtest |
|
type: flores_101 |
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args: mkd spa devtest |
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metrics: |
|
- name: BLEU |
|
type: bleu |
|
value: 22.8 |
|
- name: chr-F |
|
type: chrf |
|
value: 0.51079 |
|
- task: |
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name: Translation slv-fra |
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type: translation |
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args: slv-fra |
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dataset: |
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name: flores101-devtest |
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type: flores_101 |
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args: slv fra devtest |
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metrics: |
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- name: BLEU |
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type: bleu |
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value: 31.5 |
|
- name: chr-F |
|
type: chrf |
|
value: 0.58233 |
|
- task: |
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name: Translation slv-ita |
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type: translation |
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args: slv-ita |
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dataset: |
|
name: flores101-devtest |
|
type: flores_101 |
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args: slv ita devtest |
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metrics: |
|
- name: BLEU |
|
type: bleu |
|
value: 22.4 |
|
- name: chr-F |
|
type: chrf |
|
value: 0.52390 |
|
- task: |
|
name: Translation slv-por |
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type: translation |
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args: slv-por |
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dataset: |
|
name: flores101-devtest |
|
type: flores_101 |
|
args: slv por devtest |
|
metrics: |
|
- name: BLEU |
|
type: bleu |
|
value: 29.0 |
|
- name: chr-F |
|
type: chrf |
|
value: 0.56436 |
|
- task: |
|
name: Translation slv-ron |
|
type: translation |
|
args: slv-ron |
|
dataset: |
|
name: flores101-devtest |
|
type: flores_101 |
|
args: slv ron devtest |
|
metrics: |
|
- name: BLEU |
|
type: bleu |
|
value: 25.0 |
|
- name: chr-F |
|
type: chrf |
|
value: 0.53116 |
|
- task: |
|
name: Translation slv-spa |
|
type: translation |
|
args: slv-spa |
|
dataset: |
|
name: flores101-devtest |
|
type: flores_101 |
|
args: slv spa devtest |
|
metrics: |
|
- name: BLEU |
|
type: bleu |
|
value: 21.1 |
|
- name: chr-F |
|
type: chrf |
|
value: 0.49621 |
|
- task: |
|
name: Translation srp_Cyrl-fra |
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type: translation |
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args: srp_Cyrl-fra |
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dataset: |
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name: flores101-devtest |
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type: flores_101 |
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args: srp_Cyrl fra devtest |
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metrics: |
|
- name: BLEU |
|
type: bleu |
|
value: 36.0 |
|
- name: chr-F |
|
type: chrf |
|
value: 0.62110 |
|
- task: |
|
name: Translation srp_Cyrl-ita |
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type: translation |
|
args: srp_Cyrl-ita |
|
dataset: |
|
name: flores101-devtest |
|
type: flores_101 |
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args: srp_Cyrl ita devtest |
|
metrics: |
|
- name: BLEU |
|
type: bleu |
|
value: 23.9 |
|
- name: chr-F |
|
type: chrf |
|
value: 0.54083 |
|
- task: |
|
name: Translation srp_Cyrl-por |
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type: translation |
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args: srp_Cyrl-por |
|
dataset: |
|
name: flores101-devtest |
|
type: flores_101 |
|
args: srp_Cyrl por devtest |
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metrics: |
|
- name: BLEU |
|
type: bleu |
|
value: 34.9 |
|
- name: chr-F |
|
type: chrf |
|
value: 0.61248 |
|
- task: |
|
name: Translation srp_Cyrl-ron |
|
type: translation |
|
args: srp_Cyrl-ron |
|
dataset: |
|
name: flores101-devtest |
|
type: flores_101 |
|
args: srp_Cyrl ron devtest |
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metrics: |
|
- name: BLEU |
|
type: bleu |
|
value: 28.8 |
|
- name: chr-F |
|
type: chrf |
|
value: 0.56235 |
|
- task: |
|
name: Translation srp_Cyrl-spa |
|
type: translation |
|
args: srp_Cyrl-spa |
|
dataset: |
|
name: flores101-devtest |
|
type: flores_101 |
|
args: srp_Cyrl spa devtest |
|
metrics: |
|
- name: BLEU |
|
type: bleu |
|
value: 22.8 |
|
- name: chr-F |
|
type: chrf |
|
value: 0.51698 |
|
- task: |
|
name: Translation bul-fra |
|
type: translation |
|
args: bul-fra |
|
dataset: |
|
name: tatoeba-test-v2021-08-07 |
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type: tatoeba_mt |
|
args: bul-fra |
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metrics: |
|
- name: BLEU |
|
type: bleu |
|
value: 52.9 |
|
- name: chr-F |
|
type: chrf |
|
value: 0.68971 |
|
- task: |
|
name: Translation bul-ita |
|
type: translation |
|
args: bul-ita |
|
dataset: |
|
name: tatoeba-test-v2021-08-07 |
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type: tatoeba_mt |
|
args: bul-ita |
|
metrics: |
|
- name: BLEU |
|
type: bleu |
|
value: 45.1 |
|
- name: chr-F |
|
type: chrf |
|
value: 0.66412 |
|
- task: |
|
name: Translation bul-spa |
|
type: translation |
|
args: bul-spa |
|
dataset: |
|
name: tatoeba-test-v2021-08-07 |
|
type: tatoeba_mt |
|
args: bul-spa |
|
metrics: |
|
- name: BLEU |
|
type: bleu |
|
value: 49.7 |
|
- name: chr-F |
|
type: chrf |
|
value: 0.66672 |
|
- task: |
|
name: Translation hbs-fra |
|
type: translation |
|
args: hbs-fra |
|
dataset: |
|
name: tatoeba-test-v2021-08-07 |
|
type: tatoeba_mt |
|
args: hbs-fra |
|
metrics: |
|
- name: BLEU |
|
type: bleu |
|
value: 48.1 |
|
- name: chr-F |
|
type: chrf |
|
value: 0.66434 |
|
- task: |
|
name: Translation hbs-ita |
|
type: translation |
|
args: hbs-ita |
|
dataset: |
|
name: tatoeba-test-v2021-08-07 |
|
type: tatoeba_mt |
|
args: hbs-ita |
|
metrics: |
|
- name: BLEU |
|
type: bleu |
|
value: 53.5 |
|
- name: chr-F |
|
type: chrf |
|
value: 0.72381 |
|
- task: |
|
name: Translation hbs-spa |
|
type: translation |
|
args: hbs-spa |
|
dataset: |
|
name: tatoeba-test-v2021-08-07 |
|
type: tatoeba_mt |
|
args: hbs-spa |
|
metrics: |
|
- name: BLEU |
|
type: bleu |
|
value: 58.0 |
|
- name: chr-F |
|
type: chrf |
|
value: 0.73105 |
|
- task: |
|
name: Translation hrv-fra |
|
type: translation |
|
args: hrv-fra |
|
dataset: |
|
name: tatoeba-test-v2021-08-07 |
|
type: tatoeba_mt |
|
args: hrv-fra |
|
metrics: |
|
- name: BLEU |
|
type: bleu |
|
value: 44.3 |
|
- name: chr-F |
|
type: chrf |
|
value: 0.62800 |
|
- task: |
|
name: Translation hrv-spa |
|
type: translation |
|
args: hrv-spa |
|
dataset: |
|
name: tatoeba-test-v2021-08-07 |
|
type: tatoeba_mt |
|
args: hrv-spa |
|
metrics: |
|
- name: BLEU |
|
type: bleu |
|
value: 57.5 |
|
- name: chr-F |
|
type: chrf |
|
value: 0.71370 |
|
- task: |
|
name: Translation mkd-spa |
|
type: translation |
|
args: mkd-spa |
|
dataset: |
|
name: tatoeba-test-v2021-08-07 |
|
type: tatoeba_mt |
|
args: mkd-spa |
|
metrics: |
|
- name: BLEU |
|
type: bleu |
|
value: 62.1 |
|
- name: chr-F |
|
type: chrf |
|
value: 0.75366 |
|
- task: |
|
name: Translation srp_Latn-ita |
|
type: translation |
|
args: srp_Latn-ita |
|
dataset: |
|
name: tatoeba-test-v2021-08-07 |
|
type: tatoeba_mt |
|
args: srp_Latn-ita |
|
metrics: |
|
- name: BLEU |
|
type: bleu |
|
value: 59.6 |
|
- name: chr-F |
|
type: chrf |
|
value: 0.76045 |
|
--- |
|
# opus-mt-tc-big-zls-itc |
|
|
|
## 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) |
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- [Training](#training) |
|
- [Evaluation](#evaluation) |
|
- [Citation Information](#citation-information) |
|
- [Acknowledgements](#acknowledgements) |
|
|
|
## Model Details |
|
|
|
Neural machine translation model for translating from South Slavic languages (zls) to Italic languages (itc). |
|
|
|
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**: 2022-08-10 |
|
- **License:** CC-BY-4.0 |
|
- **Language(s):** |
|
- Source Language(s): bos_Latn bul hbs hrv mkd slv srp_Cyrl srp_Latn |
|
- Target Language(s): fra ita por ron spa |
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- Language Pair(s): bul-fra bul-ita bul-por bul-ron bul-spa hbs-fra hbs-ita hbs-spa hrv-fra hrv-ita hrv-por hrv-ron hrv-spa mkd-fra mkd-ita mkd-por mkd-ron mkd-spa slv-fra slv-ita slv-por slv-ron slv-spa srp_Cyrl-fra srp_Cyrl-ita srp_Cyrl-por srp_Cyrl-ron srp_Cyrl-spa srp_Latn-ita |
|
- Valid Target Language Labels: >>acf<< >>aoa<< >>arg<< >>ast<< >>cat<< >>cbk<< >>ccd<< >>cks<< >>cos<< >>cri<< >>crs<< >>dlm<< >>drc<< >>egl<< >>ext<< >>fab<< >>fax<< >>fra<< >>frc<< >>frm<< >>fro<< >>frp<< >>fur<< >>gcf<< >>gcr<< >>glg<< >>hat<< >>idb<< >>ist<< >>ita<< >>itk<< >>kea<< >>kmv<< >>lad<< >>lad_Latn<< >>lat<< >>lat_Latn<< >>lij<< >>lld<< >>lmo<< >>lou<< >>mcm<< >>mfe<< >>mol<< >>mwl<< >>mxi<< >>mzs<< >>nap<< >>nrf<< >>oci<< >>osc<< >>osp<< >>pap<< >>pcd<< >>pln<< >>pms<< >>pob<< >>por<< >>pov<< >>pre<< >>pro<< >>qbb<< >>qhr<< >>rcf<< >>rgn<< >>roh<< >>ron<< >>ruo<< >>rup<< >>ruq<< >>scf<< >>scn<< >>sdc<< >>sdn<< >>spa<< >>spq<< >>spx<< >>src<< >>srd<< >>sro<< >>tmg<< >>tvy<< >>vec<< >>vkp<< >>wln<< >>xfa<< >>xum<< |
|
- **Original Model**: [opusTCv20210807_transformer-big_2022-08-10.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/zls-itc/opusTCv20210807_transformer-big_2022-08-10.zip) |
|
- **Resources for more information:** |
|
- [OPUS-MT-train GitHub Repo](https://github.com/Helsinki-NLP/OPUS-MT-train) |
|
- More information about released models for this language pair: [OPUS-MT zls-itc README](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/zls-itc/README.md) |
|
- [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/ |
|
|
|
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. `>>fra<<` |
|
|
|
## 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 = [ |
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">>fra<< Dobar dan, kako si?", |
|
">>spa<< Znam da je ovo čudno." |
|
] |
|
|
|
model_name = "pytorch-models/opus-mt-tc-big-zls-itc" |
|
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: |
|
# Bonjour, comment allez-vous ? |
|
# Sé que esto es raro. |
|
``` |
|
|
|
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-big-zls-itc") |
|
print(pipe(">>fra<< Dobar dan, kako si?")) |
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|
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# expected output: Bonjour, comment allez-vous ? |
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``` |
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|
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## Training |
|
|
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- **Data**: opusTCv20210807 ([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**: [opusTCv20210807_transformer-big_2022-08-10.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/zls-itc/opusTCv20210807_transformer-big_2022-08-10.zip) |
|
- **Training Scripts**: [GitHub Repo](https://github.com/Helsinki-NLP/OPUS-MT-train) |
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|
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## Evaluation |
|
|
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* test set translations: [opusTCv20210807_transformer-big_2022-08-10.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/zls-itc/opusTCv20210807_transformer-big_2022-08-10.test.txt) |
|
* test set scores: [opusTCv20210807_transformer-big_2022-08-10.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/zls-itc/opusTCv20210807_transformer-big_2022-08-10.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 | |
|
|----------|---------|-------|-------|-------|--------| |
|
| bul-fra | tatoeba-test-v2021-08-07 | 0.68971 | 52.9 | 446 | 3669 | |
|
| bul-ita | tatoeba-test-v2021-08-07 | 0.66412 | 45.1 | 2500 | 16951 | |
|
| bul-spa | tatoeba-test-v2021-08-07 | 0.66672 | 49.7 | 286 | 1783 | |
|
| hbs-fra | tatoeba-test-v2021-08-07 | 0.66434 | 48.1 | 474 | 3370 | |
|
| hbs-ita | tatoeba-test-v2021-08-07 | 0.72381 | 53.5 | 534 | 3208 | |
|
| hbs-spa | tatoeba-test-v2021-08-07 | 0.73105 | 58.0 | 607 | 3766 | |
|
| hrv-fra | tatoeba-test-v2021-08-07 | 0.62800 | 44.3 | 258 | 1943 | |
|
| hrv-spa | tatoeba-test-v2021-08-07 | 0.71370 | 57.5 | 254 | 1702 | |
|
| mkd-spa | tatoeba-test-v2021-08-07 | 0.75366 | 62.1 | 217 | 1121 | |
|
| srp_Latn-ita | tatoeba-test-v2021-08-07 | 0.76045 | 59.6 | 212 | 1292 | |
|
| bul-fra | flores101-devtest | 0.60640 | 34.4 | 1012 | 28343 | |
|
| bul-ita | flores101-devtest | 0.54135 | 24.0 | 1012 | 27306 | |
|
| bul-por | flores101-devtest | 0.59322 | 32.4 | 1012 | 26519 | |
|
| bul-ron | flores101-devtest | 0.55558 | 27.1 | 1012 | 26799 | |
|
| bul-spa | flores101-devtest | 0.50962 | 22.4 | 1012 | 29199 | |
|
| hrv-fra | flores101-devtest | 0.59349 | 33.1 | 1012 | 28343 | |
|
| hrv-ita | flores101-devtest | 0.52980 | 23.5 | 1012 | 27306 | |
|
| hrv-por | flores101-devtest | 0.57402 | 30.2 | 1012 | 26519 | |
|
| hrv-ron | flores101-devtest | 0.53650 | 25.9 | 1012 | 26799 | |
|
| hrv-spa | flores101-devtest | 0.50161 | 21.5 | 1012 | 29199 | |
|
| mkd-fra | flores101-devtest | 0.60801 | 35.2 | 1012 | 28343 | |
|
| mkd-ita | flores101-devtest | 0.53543 | 23.9 | 1012 | 27306 | |
|
| mkd-por | flores101-devtest | 0.59648 | 33.9 | 1012 | 26519 | |
|
| mkd-ron | flores101-devtest | 0.54998 | 28.0 | 1012 | 26799 | |
|
| mkd-spa | flores101-devtest | 0.51079 | 22.8 | 1012 | 29199 | |
|
| slv-fra | flores101-devtest | 0.58233 | 31.5 | 1012 | 28343 | |
|
| slv-ita | flores101-devtest | 0.52390 | 22.4 | 1012 | 27306 | |
|
| slv-por | flores101-devtest | 0.56436 | 29.0 | 1012 | 26519 | |
|
| slv-ron | flores101-devtest | 0.53116 | 25.0 | 1012 | 26799 | |
|
| slv-spa | flores101-devtest | 0.49621 | 21.1 | 1012 | 29199 | |
|
| srp_Cyrl-fra | flores101-devtest | 0.62110 | 36.0 | 1012 | 28343 | |
|
| srp_Cyrl-ita | flores101-devtest | 0.54083 | 23.9 | 1012 | 27306 | |
|
| srp_Cyrl-por | flores101-devtest | 0.61248 | 34.9 | 1012 | 26519 | |
|
| srp_Cyrl-ron | flores101-devtest | 0.56235 | 28.8 | 1012 | 26799 | |
|
| srp_Cyrl-spa | flores101-devtest | 0.51698 | 22.8 | 1012 | 29199 | |
|
|
|
## Citation Information |
|
|
|
* Publications: [OPUS-MT – Building open translation services for the World](https://aclanthology.org/2020.eamt-1.61/) and [The Tatoeba Translation Challenge – Realistic Data Sets for Low Resource and Multilingual MT](https://aclanthology.org/2020.wmt-1.139/) (Please, cite if you use this model.) |
|
|
|
``` |
|
@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", |
|
} |
|
``` |
|
|
|
## Acknowledgements |
|
|
|
The work is supported by the [European Language Grid](https://www.european-language-grid.eu/) as [pilot project 2866](https://live.european-language-grid.eu/catalogue/#/resource/projects/2866), by the [FoTran project](https://www.helsinki.fi/en/researchgroups/natural-language-understanding-with-cross-lingual-grounding), funded by the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (grant agreement No 771113), and the [MeMAD project](https://memad.eu/), funded by the European Union’s Horizon 2020 Research and Innovation Programme under grant agreement No 780069. We are also grateful for the generous computational resources and IT infrastructure provided by [CSC -- IT Center for Science](https://www.csc.fi/), Finland. |
|
|
|
## Model conversion info |
|
|
|
* transformers version: 4.16.2 |
|
* OPUS-MT git hash: 8b9f0b0 |
|
* port time: Fri Aug 12 23:59:29 EEST 2022 |
|
* port machine: LM0-400-22516.local |
|
|
