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Helsinki-NLP/opus-mt-ko-hu
opus-mt-ko-hu 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: Korean target group: Hungarian OPUS readme: kor-hun
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From the Hugging Face model README
source group: Korean
target group: Hungarian
OPUS readme: kor-hun
model: transformer-align
source language(s): kor kor_Hang kor_Latn
target language(s): hun
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.kor.hun | 28.6 | 0.520 |
hf_name: kor-hun
source_languages: kor
target_languages: hun
opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/kor-hun/README.md
original_repo: Tatoeba-Challenge
tags: ['translation']
languages: ['ko', 'hu']
src_constituents: {'kor_Hani', 'kor_Hang', 'kor_Latn', 'kor'}
tgt_constituents: {'hun'}
src_multilingual: False
tgt_multilingual: False
prepro: normalization + SentencePiece (spm32k,spm32k)
url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/kor-hun/opus-2020-06-17.zip
url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/kor-hun/opus-2020-06-17.test.txt
src_alpha3: kor
tgt_alpha3: hun
short_pair: ko-hu
chrF2_score: 0.52
bleu: 28.6
brevity_penalty: 0.905
ref_len: 1615.0
src_name: Korean
tgt_name: Hungarian
train_date: 2020-06-17
src_alpha2: ko
tgt_alpha2: hu
prefer_old: False
long_pair: kor-hun
helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
port_machine: brutasse
port_time: 2020-08-21-14:41