Helsinki-NLP_opus-mt-ko-es

---

language:

• ko
• es

tags:

• translation

license: apache-2.0

kor-spa

• source group: Korean

• target group: Spanish

• OPUS readme: kor-spa

• model: transformer-align

• source language(s): kor kor_Hang kor_Latn

• target language(s): spa

• 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

testset	BLEU	chr-F
Tatoeba-test.kor.spa	31.3	0.521

System Info:

• hf_name: kor-spa

• source_languages: kor

• target_languages: spa

• opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/kor-spa/README.md

• original_repo: Tatoeba-Challenge

• tags: ['translation']

• languages: ['ko', 'es']

• src_constituents: {'kor_Hani', 'kor_Hang', 'kor_Latn', 'kor'}

• tgt_constituents: {'spa'}

• src_multilingual: False

• tgt_multilingual: False

• prepro: normalization + SentencePiece (spm32k,spm32k)

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

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

• src_alpha3: kor

• tgt_alpha3: spa

• short_pair: ko-es

• chrF2_score: 0.521

• bleu: 31.3

• brevity_penalty: 0.95

• ref_len: 6805.0

• src_name: Korean

• tgt_name: Spanish

• train_date: 2020-06-17

• src_alpha2: ko

• tgt_alpha2: es

• prefer_old: False

• long_pair: kor-spa

• helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535

• transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b

• port_machine: brutasse

• port_time: 2020-08-21-14:41