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Helsinki-NLP/opus-mt-gl-pt
opus-mt-gl-pt is a translation model from Helsinki-NLP. Use it when you need text moved from one language to another. It is set up for transformers. The card lists the license as apache-2.0.
source group: Galician target group: Portuguese OPUS readme: glg-por
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From the Hugging Face model README
source group: Galician
target group: Portuguese
OPUS readme: glg-por
model: transformer-align
source language(s): glg
target language(s): por
model: transformer-align
pre-processing: normalization + SentencePiece (spm4k,spm4k)
download original weights: opus-2020-06-16.zip
test set translations: opus-2020-06-16.test.txt
test set scores: opus-2020-06-16.eval.txt
| testset | BLEU | chr-F |
|---|---|---|
| Tatoeba-test.glg.por | 57.9 | 0.758 |
hf_name: glg-por
source_languages: glg
target_languages: por
opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/glg-por/README.md
original_repo: Tatoeba-Challenge
tags: ['translation']
languages: ['gl', 'pt']
src_constituents: {'glg'}
tgt_constituents: {'por'}
src_multilingual: False
tgt_multilingual: False
prepro: normalization + SentencePiece (spm4k,spm4k)
url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/glg-por/opus-2020-06-16.zip
url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/glg-por/opus-2020-06-16.test.txt
src_alpha3: glg
tgt_alpha3: por
short_pair: gl-pt
chrF2_score: 0.758
bleu: 57.9
brevity_penalty: 0.977
ref_len: 3078.0
src_name: Galician
tgt_name: Portuguese
train_date: 2020-06-16
src_alpha2: gl
tgt_alpha2: pt
prefer_old: False
long_pair: glg-por
helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
port_machine: brutasse
port_time: 2020-08-21-14:41