Helsinki-NLP/opus-mt-uk-sh

ukr-hbs

• source group: Ukrainian

• target group: Serbo-Croatian

• OPUS readme: ukr-hbs

• model: transformer-align

• source language(s): ukr

• target language(s): hrv srp_Cyrl srp_Latn

• model: transformer-align

• pre-processing: normalization + SentencePiece (spm32k,spm32k)

• a sentence initial language token is required in the form of >>id<< (id = valid target language ID)

• 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.ukr.hbs	42.8	0.631

System Info:

• hf_name: ukr-hbs

• source_languages: ukr

• target_languages: hbs

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

• original_repo: Tatoeba-Challenge

• tags: ['translation']

• languages: ['uk', 'sh']

• src_constituents: {'ukr'}

• tgt_constituents: {'hrv', 'srp_Cyrl', 'bos_Latn', 'srp_Latn'}

• src_multilingual: False

• tgt_multilingual: False

• prepro: normalization + SentencePiece (spm32k,spm32k)

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

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

• src_alpha3: ukr

• tgt_alpha3: hbs

• short_pair: uk-sh

• chrF2_score: 0.631

• bleu: 42.8

• brevity_penalty: 0.96

• ref_len: 5128.0

• src_name: Ukrainian

• tgt_name: Serbo-Croatian

• train_date: 2020-06-17

• src_alpha2: uk

• tgt_alpha2: sh

• prefer_old: False

• long_pair: ukr-hbs

• helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535

• transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b

• port_machine: brutasse

• port_time: 2020-08-21-14:41