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

testset	BLEU	chr-F
Tatoeba-test.fra.ara	14.4	0.439

System Info:

• hf_name: fra-ara

• source_languages: fra

• target_languages: ara

• opus_readme_url: 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'}

• tgt_constituents: {'apc', 'ara', 'arq_Latn', 'arq', 'afb', 'ara_Latn', 'apc_Latn', '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

• url_test_set: 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

• helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535

• transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b

• port_machine: brutasse

• port_time: 2020-08-21-14:41