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Helsinki-NLP/opus-mt-hu-uk
opus-mt-hu-uk 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: Hungarian target group: Ukrainian OPUS readme: hun-ukr
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From the Hugging Face model README
source group: Hungarian
target group: Ukrainian
OPUS readme: hun-ukr
model: transformer-align
source language(s): hun
target language(s): ukr
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
| testset | BLEU | chr-F |
|---|---|---|
| Tatoeba-test.hun.ukr | 41.2 | 0.611 |
hf_name: hun-ukr
source_languages: hun
target_languages: ukr
opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/hun-ukr/README.md
original_repo: Tatoeba-Challenge
tags: ['translation']
languages: ['hu', 'uk']
src_constituents: {'hun'}
tgt_constituents: {'ukr'}
src_multilingual: False
tgt_multilingual: False
prepro: normalization + SentencePiece (spm32k,spm32k)
url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/hun-ukr/opus-2020-06-17.zip
url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/hun-ukr/opus-2020-06-17.test.txt
src_alpha3: hun
tgt_alpha3: ukr
short_pair: hu-uk
chrF2_score: 0.611
bleu: 41.2
brevity_penalty: 0.966
ref_len: 2568.0
src_name: Hungarian
tgt_name: Ukrainian
train_date: 2020-06-17
src_alpha2: hu
tgt_alpha2: uk
prefer_old: False
long_pair: hun-ukr
helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
port_machine: brutasse
port_time: 2020-08-21-14:41