language:
- fr
- ms
tags:
- translation
license: apache-2.0
fra-msa
source group: French
target group: Malay (macrolanguage)
OPUS readme: fra-msa
model: transformer-align
source language(s): fra
target language(s): ind zsm_Latn
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.fra.msa | 35.3 | 0.617 |
System Info:
hf_name: fra-msa
source_languages: fra
target_languages: msa
opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/fra-msa/README.md
original_repo: Tatoeba-Challenge
tags: ['translation']
languages: ['fr', 'ms']
src_constituents: {'fra'}
tgt_constituents: {'zsm_Latn', 'ind', 'max_Latn', 'zlm_Latn', 'min'}
src_multilingual: False
tgt_multilingual: False
prepro: normalization + SentencePiece (spm32k,spm32k)
url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/fra-msa/opus-2020-06-17.zip
url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/fra-msa/opus-2020-06-17.test.txt
src_alpha3: fra
tgt_alpha3: msa
short_pair: fr-ms
chrF2_score: 0.617
bleu: 35.3
brevity_penalty: 0.978
ref_len: 6696.0
src_name: French
tgt_name: Malay (macrolanguage)
train_date: 2020-06-17
src_alpha2: fr
tgt_alpha2: ms
prefer_old: False
long_pair: fra-msa
helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
port_machine: brutasse
port_time: 2020-08-21-14:41