Helsinki-NLP/opus-mt-ko-en

kor-eng

• —source group: Korean
• —target group: English
• —OPUS readme: kor-eng

• —model: transformer-align
• —source language(s): kor korHang korLatn
• —target language(s): eng
• —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

Benchmarks

System Info:

• —hf_name: kor-eng

• —source_languages: kor

• —target_languages: eng

• —opusreadmeurl: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/kor-eng/README.md

• —original_repo: Tatoeba-Challenge

• —tags: ['translation']

• —languages: ['ko', 'en']

• —srcconstituents: {'korHani', 'korHang', 'korLatn', 'kor'}

• —tgt_constituents: {'eng'}

• —src_multilingual: False

• —tgt_multilingual: False

• —prepro: normalization + SentencePiece (spm32k,spm32k)

• —url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/kor-eng/opus-2020-06-17.zip

• —urltestset: https://object.pouta.csc.fi/Tatoeba-MT-models/kor-eng/opus-2020-06-17.test.txt

• —src_alpha3: kor

• —tgt_alpha3: eng

• —short_pair: ko-en

• —chrF2_score: 0.588

• —bleu: 41.3

• —brevity_penalty: 0.9590000000000001

• —ref_len: 17711.0

• —src_name: Korean

• —tgt_name: English

• —train_date: 2020-06-17

• —src_alpha2: ko

• —tgt_alpha2: en

• —prefer_old: False

• —long_pair: kor-eng

• —helsinkigitsha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535

• —transformersgitsha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b

• —port_machine: brutasse

• —port_time: 2020-08-21-14:41