language:
- he
- ar
tags:
- translation
license: apache-2.0
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