Helsinki-NLP/opus-mt-en-hi

eng-hin

• source group: English

• target group: Hindi

• OPUS readme: eng-hin

• model: transformer-align

• source language(s): eng

• target language(s): hin

• 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
newsdev2014.eng.hin	6.9	0.296
newstest2014-hien.eng.hin	9.9	0.323
Tatoeba-test.eng.hin	16.1	0.447

System Info:

• hf_name: eng-hin

• source_languages: eng

• target_languages: hin

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

• original_repo: Tatoeba-Challenge

• tags: ['translation']

• languages: ['en', 'hi']

• src_constituents: {'eng'}

• tgt_constituents: {'hin'}

• src_multilingual: False

• tgt_multilingual: False

• prepro: normalization + SentencePiece (spm32k,spm32k)

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

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

• src_alpha3: eng

• tgt_alpha3: hin

• short_pair: en-hi

• chrF2_score: 0.447

• bleu: 16.1

• brevity_penalty: 1.0

• ref_len: 32904.0

• src_name: English

• tgt_name: Hindi

• train_date: 2020-06-17

• src_alpha2: en

• tgt_alpha2: hi

• prefer_old: False

• long_pair: eng-hin

• helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535

• transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b

• port_machine: brutasse

• port_time: 2020-08-21-14:41