eng-vie
source group: English
target group: Vietnamese
OPUS readme: eng-vie
model: transformer-align
source language(s): eng
target language(s): vie vie_Hani
model: transformer-align
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-2020-06-17.zip
test set translations: opus-2020-06-17.test.txt
test set scores: opus-2020-06-17.eval.txt
Benchmarks
| testset | BLEU | chr-F |
|---|---|---|
| Tatoeba-test.eng.vie | 37.2 | 0.542 |
System Info:
hf_name: eng-vie
source_languages: eng
target_languages: vie
opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-vie/README.md
original_repo: Tatoeba-Challenge
tags: ['translation']
languages: ['en', 'vi']
src_constituents: {'eng'}
tgt_constituents: {'vie', 'vie_Hani'}
src_multilingual: False
tgt_multilingual: False
prepro: normalization + SentencePiece (spm32k,spm32k)
url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-vie/opus-2020-06-17.zip
url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-vie/opus-2020-06-17.test.txt
src_alpha3: eng
tgt_alpha3: vie
short_pair: en-vi
chrF2_score: 0.542
bleu: 37.2
brevity_penalty: 0.973
ref_len: 24427.0
src_name: English
tgt_name: Vietnamese
train_date: 2020-06-17
src_alpha2: en
tgt_alpha2: vi
prefer_old: False
long_pair: eng-vie
helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
transformers_git_sha: 6bdf998dffa70030e42f512a586f33a15e648edd
port_machine: brutasse
port_time: 2020-08-19-00:09