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Helsinki-NLP/opus-mt-tr-uk
opus-mt-tr-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: Turkish target group: Ukrainian OPUS readme: tur-ukr
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From the Hugging Face model README
source group: Turkish
target group: Ukrainian
OPUS readme: tur-ukr
model: transformer-align
source language(s): tur
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.tur.ukr | 42.5 | 0.624 |
hf_name: tur-ukr
source_languages: tur
target_languages: ukr
opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/tur-ukr/README.md
original_repo: Tatoeba-Challenge
tags: ['translation']
languages: ['tr', 'uk']
src_constituents: {'tur'}
tgt_constituents: {'ukr'}
src_multilingual: False
tgt_multilingual: False
prepro: normalization + SentencePiece (spm32k,spm32k)
url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/tur-ukr/opus-2020-06-17.zip
url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/tur-ukr/opus-2020-06-17.test.txt
src_alpha3: tur
tgt_alpha3: ukr
short_pair: tr-uk
chrF2_score: 0.624
bleu: 42.5
brevity_penalty: 0.983
ref_len: 12988.0
src_name: Turkish
tgt_name: Ukrainian
train_date: 2020-06-17
src_alpha2: tr
tgt_alpha2: uk
prefer_old: False
long_pair: tur-ukr
helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
port_machine: brutasse
port_time: 2020-08-21-14:41