fra-ara
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source group: French
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target group: Arabic
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OPUS readme: fra-ara
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model: transformer
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source language(s): fra
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target language(s): apc ara arq arq_Latn ary arz
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model: transformer
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pre-processing: normalization + SentencePiece (spm32k,spm32k)
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a sentence initial language token is required in the form of
>>id<<(id = valid target language ID) -
download original weights: opus-2020-07-03.zip
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test set translations: opus-2020-07-03.test.txt
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test set scores: opus-2020-07-03.eval.txt
Benchmarks
| testset | BLEU | chr-F |
|---|---|---|
| Tatoeba-test.fra.ara | 14.4 | 0.439 |
System Info:
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hf_name: fra-ara
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source_languages: fra
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target_languages: ara
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opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/fra-ara/README.md
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original_repo: Tatoeba-Challenge
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tags: ['translation']
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languages: ['fr', 'ar']
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src_constituents: {'fra'}
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tgt_constituents: {'apc', 'ara', 'arq_Latn', 'arq', 'afb', 'ara_Latn', 'apc_Latn', 'arz'}
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src_multilingual: False
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tgt_multilingual: False
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prepro: normalization + SentencePiece (spm32k,spm32k)
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url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/fra-ara/opus-2020-07-03.zip
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url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/fra-ara/opus-2020-07-03.test.txt
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src_alpha3: fra
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tgt_alpha3: ara
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short_pair: fr-ar
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chrF2_score: 0.439
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bleu: 14.4
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brevity_penalty: 1.0
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ref_len: 7956.0
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src_name: French
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tgt_name: Arabic
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train_date: 2020-07-03
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src_alpha2: fr
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tgt_alpha2: ar
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prefer_old: False
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long_pair: fra-ara
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helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
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transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
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port_machine: brutasse
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port_time: 2020-08-21-14:41