Add multilingual to the language tag
#1
by
lbourdois
- opened
README.md
CHANGED
@@ -5,184 +5,116 @@ language:
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- hr
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- sh
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- sr
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language_bcp47:
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- bs_Latn
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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-base-en-sh
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results:
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- task:
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name: Translation eng-hrv
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type: translation
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-
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dataset:
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name: flores200-dev
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type: flores200-dev
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args: eng-hrv
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metrics:
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- task:
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name: Translation eng-srp_Cyrl
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type: translation
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args: eng-srp_Cyrl
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dataset:
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name: flores200-dev
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type: flores200-dev
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args: eng-srp_Cyrl
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metrics:
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- name: BLEU
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type: bleu
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value: 32.2
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- name: chr-F
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type: chrf
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value: 0.60096
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- task:
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name: Translation eng-hrv
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type: translation
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args: eng-hrv
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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-hrv
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metrics:
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- task:
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name: Translation eng-srp_Cyrl
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type: translation
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args: eng-srp_Cyrl
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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-srp_Cyrl
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metrics:
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- name: BLEU
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type: bleu
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value: 31.7
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- name: chr-F
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type: chrf
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value: 0.59874
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- task:
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name: Translation eng-hrv
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type: translation
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args: eng-hrv
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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 hrv devtest
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metrics:
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- task:
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name: Translation eng-srp_Cyrl
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type: translation
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args: eng-srp_Cyrl
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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 srp_Cyrl devtest
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metrics:
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- name: BLEU
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type: bleu
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value: 31.7
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- name: chr-F
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type: chrf
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value: 0.59874
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- task:
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name: Translation eng-bos_Latn
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type: translation
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args: eng-bos_Latn
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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: eng-bos_Latn
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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: 49.7
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- name: chr-F
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type: chrf
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value: 0.691
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- task:
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name: Translation eng-srp_Cyrl
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type: translation
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args: eng-srp_Cyrl
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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: eng-srp_Cyrl
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metrics:
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- name: BLEU
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type: bleu
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value: 45.1
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- name: chr-F
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type: chrf
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value: 0.645
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- task:
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name: Translation eng-srp_Latn
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type: translation
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args: eng-srp_Latn
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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: eng-srp_Latn
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metrics:
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- name: BLEU
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type: bleu
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value: 39.8
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- name: chr-F
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type: chrf
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value: 0.613
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---
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# opus-mt-tc-base-en-sh
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@@ -251,7 +183,7 @@ for t in translated:
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print( tokenizer.decode(t, skip_special_tokens=True) )
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# expected output:
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# Ti si o tome napraviti vrlo ozbiljnu
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# [4]
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```
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@@ -262,7 +194,7 @@ from transformers import pipeline
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pipe = pipeline("translation", model="Helsinki-NLP/opus-mt-tc-base-en-sh")
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print(pipe(">>hrv<< You're about to make a very serious mistake."))
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# expected output: Ti si o tome napraviti vrlo ozbiljnu
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```
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## Training
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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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## 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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- hr
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- sh
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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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- bs_Latn
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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-base-en-sh
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results:
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- task:
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type: translation
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name: Translation eng-hrv
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dataset:
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name: flores200-dev
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type: flores200-dev
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args: eng-hrv
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metrics:
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- type: bleu
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value: 28.1
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name: BLEU
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- type: chrf
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value: 0.57963
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name: chr-F
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- type: bleu
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value: 32.2
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name: BLEU
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- type: chrf
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value: 0.60096
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name: chr-F
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- task:
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type: translation
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name: Translation eng-hrv
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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-hrv
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metrics:
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- type: bleu
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value: 28.9
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name: BLEU
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- type: chrf
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value: 0.58652
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name: chr-F
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- type: bleu
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value: 31.7
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name: BLEU
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- type: chrf
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value: 0.59874
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name: chr-F
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- task:
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type: translation
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name: Translation eng-hrv
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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 hrv devtest
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metrics:
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- type: bleu
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value: 28.7
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name: BLEU
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- type: chrf
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value: 0.586
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name: chr-F
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- type: bleu
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value: 31.7
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name: BLEU
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- type: chrf
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value: 0.59874
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name: chr-F
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- task:
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type: translation
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name: Translation eng-bos_Latn
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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: eng-bos_Latn
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metrics:
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- type: bleu
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value: 46.3
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name: BLEU
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- type: chrf
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value: 0.666
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name: chr-F
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- type: bleu
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value: 42.1
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name: BLEU
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- type: chrf
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value: 0.631
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name: chr-F
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- type: bleu
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value: 49.7
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name: BLEU
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- type: chrf
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value: 0.691
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name: chr-F
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- type: bleu
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value: 45.1
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name: BLEU
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- type: chrf
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value: 0.645
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name: chr-F
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- type: bleu
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value: 39.8
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name: BLEU
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- type: chrf
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value: 0.613
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name: chr-F
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---
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# opus-mt-tc-base-en-sh
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print( tokenizer.decode(t, skip_special_tokens=True) )
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# expected output:
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# Ti si o tome napraviti vrlo ozbiljnu pogre�ku.
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# [4]
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```
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pipe = pipeline("translation", model="Helsinki-NLP/opus-mt-tc-base-en-sh")
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print(pipe(">>hrv<< You're about to make a very serious mistake."))
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# expected output: Ti si o tome napraviti vrlo ozbiljnu pogre�ku.
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```
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## Training
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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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