msa-fra
source group: Malay (macrolanguage)
target group: French
OPUS readme: msa-fra
model: transformer-align
source language(s): ind zsm_Latn
target language(s): fra
model: transformer-align
pre-processing: normalization + SentencePiece (spm32k,spm32k)
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.msa.fra | 43.7 | 0.609 |
System Info:
hf_name: msa-fra
source_languages: msa
target_languages: fra
opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/msa-fra/README.md
original_repo: Tatoeba-Challenge
tags: ['translation']
languages: ['ms', 'fr']
src_constituents: {'zsm_Latn', 'ind', 'max_Latn', 'zlm_Latn', 'min'}
tgt_constituents: {'fra'}
src_multilingual: False
tgt_multilingual: False
prepro: normalization + SentencePiece (spm32k,spm32k)
url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/msa-fra/opus-2020-06-17.zip
url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/msa-fra/opus-2020-06-17.test.txt
src_alpha3: msa
tgt_alpha3: fra
short_pair: ms-fr
chrF2_score: 0.609
bleu: 43.7
brevity_penalty: 0.9740000000000001
ref_len: 7808.0
src_name: Malay (macrolanguage)
tgt_name: French
train_date: 2020-06-17
src_alpha2: ms
tgt_alpha2: fr
prefer_old: False
long_pair: msa-fra
helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
transformers_git_sha: 6bdf998dffa70030e42f512a586f33a15e648edd
port_machine: brutasse
port_time: 2020-08-19-00:09