eng-sem
source group: English
target group: Semitic languages
OPUS readme: eng-sem
model: transformer
source language(s): eng
target language(s): acm afb amh apc ara arq ary arz heb mlt 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
| testset | BLEU | chr-F |
|---|---|---|
| Tatoeba-test.eng-amh.eng.amh | 11.2 | 0.480 |
| Tatoeba-test.eng-ara.eng.ara | 12.7 | 0.417 |
| Tatoeba-test.eng-heb.eng.heb | 33.8 | 0.564 |
| Tatoeba-test.eng-mlt.eng.mlt | 18.7 | 0.554 |
| Tatoeba-test.eng.multi | 23.5 | 0.486 |
| Tatoeba-test.eng-tir.eng.tir | 2.7 | 0.248 |
System Info:
hf_name: eng-sem
source_languages: eng
target_languages: sem
opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-sem/README.md
original_repo: Tatoeba-Challenge
tags: ['translation']
languages: ['en', 'mt', 'ar', 'he', 'ti', 'am', 'sem']
src_constituents: {'eng'}
tgt_constituents: {'apc', 'mlt', 'arz', 'ara', 'heb', 'tir', 'arq', 'afb', 'amh', 'acm', 'ary'}
src_multilingual: False
tgt_multilingual: True
prepro: normalization + SentencePiece (spm32k,spm32k)
url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-sem/opus2m-2020-08-01.zip
url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-sem/opus2m-2020-08-01.test.txt
src_alpha3: eng
tgt_alpha3: sem
short_pair: en-sem
chrF2_score: 0.486
bleu: 23.5
brevity_penalty: 1.0
ref_len: 59258.0
src_name: English
tgt_name: Semitic languages
train_date: 2020-08-01
src_alpha2: en
tgt_alpha2: sem
prefer_old: False
long_pair: eng-sem
helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
transformers_git_sha: 6bdf998dffa70030e42f512a586f33a15e648edd
port_machine: brutasse
port_time: 2020-08-19-00:09