eng-afa

• source group: English

• target group: Afro-Asiatic languages

• OPUS readme: eng-afa

• model: transformer

• source language(s): eng

• target language(s): acm afb amh apc ara arq ary arz hau_Latn heb kab mlt rif_Latn shy_Latn som tir

• 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: opus2m-2020-08-01.zip

• test set translations: opus2m-2020-08-01.test.txt

• test set scores: opus2m-2020-08-01.eval.txt

Benchmarks

System Info:

• hf_name: eng-afa

• source_languages: eng

• target_languages: afa

• opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-afa/README.md

• original_repo: Tatoeba-Challenge

• tags: ['translation']

• languages: ['en', 'so', 'ti', 'am', 'he', 'mt', 'ar', 'afa']

• src_constituents: {'eng'}

• tgt_constituents: {'som', 'rif_Latn', 'tir', 'kab', 'arq', 'afb', 'amh', 'arz', 'heb', 'shy_Latn', 'apc', 'mlt', 'thv', 'ara', 'hau_Latn', 'acm', 'ary'}

• src_multilingual: False

• tgt_multilingual: True

• prepro: normalization + SentencePiece (spm32k,spm32k)

• url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-afa/opus2m-2020-08-01.zip

• url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-afa/opus2m-2020-08-01.test.txt

• src_alpha3: eng

• tgt_alpha3: afa

• short_pair: en-afa

• chrF2_score: 0.375

• bleu: 14.4

• brevity_penalty: 1.0

• ref_len: 58110.0

• src_name: English

• tgt_name: Afro-Asiatic languages

• train_date: 2020-08-01

• src_alpha2: en

• tgt_alpha2: afa

• prefer_old: False

• long_pair: eng-afa

• helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535

• transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b

• port_machine: brutasse

• port_time: 2020-08-21-14:41