Helsinki-NLP/opus-mt-fr-ar

fra-ara

• —source group: French
• —target group: Arabic
• —OPUS readme: fra-ara

• —model: transformer
• —source language(s): fra
• —target language(s): apc ara arq arq_Latn ary arz
• —model: transformer
• —pre-processing: normalization + SentencePiece (spm32k,spm32k)
• —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
• —test set translations: opus-2020-07-03.test.txt
• —test set scores: opus-2020-07-03.eval.txt

Benchmarks

System Info:

• —hf_name: fra-ara

• —source_languages: fra

• —target_languages: ara

• —opusreadmeurl: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/fra-ara/README.md

• —original_repo: Tatoeba-Challenge

• —tags: ['translation']

• —languages: ['fr', 'ar']

• —src_constituents: {'fra'}

• —tgtconstituents: {'apc', 'ara', 'arqLatn', 'arq', 'afb', 'araLatn', 'apcLatn', 'arz'}

• —src_multilingual: False

• —tgt_multilingual: False

• —prepro: normalization + SentencePiece (spm32k,spm32k)

• —url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/fra-ara/opus-2020-07-03.zip

• —urltestset: https://object.pouta.csc.fi/Tatoeba-MT-models/fra-ara/opus-2020-07-03.test.txt

• —src_alpha3: fra

• —tgt_alpha3: ara

• —short_pair: fr-ar

• —chrF2_score: 0.439

• —bleu: 14.4

• —brevity_penalty: 1.0

• —ref_len: 7956.0

• —src_name: French

• —tgt_name: Arabic

• —train_date: 2020-07-03

• —src_alpha2: fr

• —tgt_alpha2: ar

• —prefer_old: False

• —long_pair: fra-ara

• —helsinkigitsha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535

• —transformersgitsha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b

• —port_machine: brutasse

• —port_time: 2020-08-21-14:41