Helsinki-NLP/opus-mt-he-ar

heb-ara

• source group: Hebrew

• target group: Arabic

• OPUS readme: heb-ara

• model: transformer

• source language(s): heb

• target language(s): apc apc_Latn ara arq 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.heb.ara	23.6	0.532

System Info:

• hf_name: heb-ara

• source_languages: heb

• target_languages: ara

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

• original_repo: Tatoeba-Challenge

• tags: ['translation']

• languages: ['he', 'ar']

• src_constituents: {'heb'}

• 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/heb-ara/opus-2020-07-03.zip

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

• src_alpha3: heb

• tgt_alpha3: ara

• short_pair: he-ar

• chrF2_score: 0.532

• bleu: 23.6

• brevity_penalty: 0.9259999999999999

• ref_len: 6372.0

• src_name: Hebrew

• tgt_name: Arabic

• train_date: 2020-07-03

• src_alpha2: he

• tgt_alpha2: ar

• prefer_old: False

• long_pair: heb-ara

• helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535

• transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b

• port_machine: brutasse

• port_time: 2020-08-21-14:41