Add multilingual to the language tag
#1
by
lbourdois
- opened
README.md
CHANGED
@@ -7,168 +7,93 @@ language:
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- sh
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- sl
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- sr
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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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model-index:
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- name: opus-mt-tc-big-zls-de
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results:
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- task:
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name: Translation bul-deu
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type: translation
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-
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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 deu devtest
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metrics:
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name:
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name:
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- name: BLEU
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type: bleu
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value: 29.3
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- name: chr-F
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type: chrf
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value: 0.57688
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- task:
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name: Translation slv-deu
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type: translation
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args: slv-deu
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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 deu devtest
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metrics:
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- name: BLEU
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type: bleu
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value: 26.7
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- name: chr-F
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type: chrf
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value: 0.56258
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- task:
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name: Translation srp_Cyrl-deu
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type: translation
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args: srp_Cyrl-deu
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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 deu devtest
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metrics:
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- name: BLEU
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type: bleu
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value: 30.7
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- name: chr-F
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type: chrf
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value: 0.59271
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- task:
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name: Translation bul-deu
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type: translation
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args: bul-deu
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dataset:
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name: tatoeba-test-v2021-08-07
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type: tatoeba_mt
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args: bul-deu
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metrics:
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name:
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name:
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- name: BLEU
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type: bleu
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value: 53.1
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- name: chr-F
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type: chrf
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value: 0.69448
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- task:
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name: Translation slv-deu
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type: translation
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args: slv-deu
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dataset:
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name: tatoeba-test-v2021-08-07
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type: tatoeba_mt
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args: slv-deu
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metrics:
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- name: BLEU
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type: bleu
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value: 21.1
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- name: chr-F
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type: chrf
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value: 0.36339
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- task:
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name: Translation srp_Latn-deu
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type: translation
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args: srp_Latn-deu
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dataset:
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name: tatoeba-test-v2021-08-07
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type: tatoeba_mt
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args: srp_Latn-deu
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metrics:
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- name: BLEU
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type: bleu
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value: 56.0
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- name: chr-F
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type: chrf
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value: 0.72489
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---
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# opus-mt-tc-big-zls-de
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@@ -236,7 +161,7 @@ for t in translated:
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# expected output:
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# Sind Sie Student?
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# Zwei Dinge sollten Kinder von ihren Eltern bekommen: Wurzeln und
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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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@@ -279,7 +204,7 @@ print(pipe("Jesi li ti student?"))
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## Citation Information
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* Publications: [OPUS-MT
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```
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@inproceedings{tiedemann-thottingal-2020-opus,
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@@ -309,7 +234,7 @@ print(pipe("Jesi li ti student?"))
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## Acknowledgements
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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
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## Model conversion info
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- sh
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- sl
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- sr
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- multilingual
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license: cc-by-4.0
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tags:
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- translation
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- opus-mt-tc
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language_bcp47:
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- sr_Cyrl
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- sr_Latn
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model-index:
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- name: opus-mt-tc-big-zls-de
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results:
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- task:
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type: translation
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name: Translation bul-deu
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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 deu devtest
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metrics:
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- type: bleu
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value: 28.4
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name: BLEU
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- type: chrf
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value: 0.57688
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name: chr-F
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- type: bleu
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value: 27.4
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name: BLEU
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- type: chrf
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value: 0.56674
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name: chr-F
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- type: bleu
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value: 29.3
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name: BLEU
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- type: chrf
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value: 0.57688
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name: chr-F
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- type: bleu
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value: 26.7
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name: BLEU
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- type: chrf
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value: 0.56258
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name: chr-F
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- type: bleu
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value: 30.7
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name: BLEU
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- type: chrf
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value: 0.59271
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name: chr-F
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- task:
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type: translation
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name: Translation bul-deu
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dataset:
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name: tatoeba-test-v2021-08-07
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type: tatoeba_mt
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args: bul-deu
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metrics:
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- type: bleu
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value: 54.5
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name: BLEU
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- type: chrf
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value: 0.7122
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name: chr-F
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- type: bleu
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value: 54.8
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name: BLEU
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- type: chrf
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value: 0.71283
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name: chr-F
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- type: bleu
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value: 53.1
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name: BLEU
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- type: chrf
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value: 0.69448
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name: chr-F
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- type: bleu
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value: 21.1
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name: BLEU
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- type: chrf
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value: 0.36339
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name: chr-F
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- type: bleu
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value: 56.0
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name: BLEU
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- type: chrf
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value: 0.72489
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name: chr-F
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---
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# opus-mt-tc-big-zls-de
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# expected output:
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# Sind Sie Student?
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# Zwei Dinge sollten Kinder von ihren Eltern bekommen: Wurzeln und Fl�gel.
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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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## Citation Information
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* 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.)
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```
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@inproceedings{tiedemann-thottingal-2020-opus,
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## Acknowledgements
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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.
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## Model conversion info
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