Helsinki-NLP/opus-mt-en-sla

eng-sla

• source group: English

• target group: Slavic languages

• OPUS readme: eng-sla

• model: transformer

• source language(s): eng

• target language(s): bel bel_Latn bos_Latn bul bul_Latn ces csb_Latn dsb hrv hsb mkd orv_Cyrl pol rue rus slv srp_Cyrl srp_Latn ukr

• model: transformer

• 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: opus2m-2020-08-01.zip

• test set translations: opus2m-2020-08-01.test.txt

• test set scores: opus2m-2020-08-01.eval.txt

Benchmarks

testset	BLEU	chr-F
newssyscomb2009-engces.eng.ces	20.1	0.484
news-test2008-engces.eng.ces	17.7	0.461
newstest2009-engces.eng.ces	19.1	0.479
newstest2010-engces.eng.ces	19.3	0.483
newstest2011-engces.eng.ces	20.4	0.486
newstest2012-engces.eng.ces	18.3	0.461
newstest2012-engrus.eng.rus	27.4	0.551
newstest2013-engces.eng.ces	21.5	0.489
newstest2013-engrus.eng.rus	20.9	0.490
newstest2015-encs-engces.eng.ces	21.1	0.496
newstest2015-enru-engrus.eng.rus	24.5	0.536
newstest2016-encs-engces.eng.ces	23.6	0.515
newstest2016-enru-engrus.eng.rus	23.0	0.519
newstest2017-encs-engces.eng.ces	19.2	0.474
newstest2017-enru-engrus.eng.rus	25.0	0.541
newstest2018-encs-engces.eng.ces	19.3	0.479
newstest2018-enru-engrus.eng.rus	22.3	0.526
newstest2019-encs-engces.eng.ces	20.4	0.486
newstest2019-enru-engrus.eng.rus	24.0	0.506
Tatoeba-test.eng-bel.eng.bel	22.9	0.489
Tatoeba-test.eng-bul.eng.bul	46.7	0.652
Tatoeba-test.eng-ces.eng.ces	42.7	0.624
Tatoeba-test.eng-csb.eng.csb	1.4	0.210
Tatoeba-test.eng-dsb.eng.dsb	1.4	0.165
Tatoeba-test.eng-hbs.eng.hbs	40.3	0.616
Tatoeba-test.eng-hsb.eng.hsb	14.3	0.344
Tatoeba-test.eng-mkd.eng.mkd	44.1	0.635
Tatoeba-test.eng.multi	41.0	0.610
Tatoeba-test.eng-orv.eng.orv	0.3	0.014
Tatoeba-test.eng-pol.eng.pol	42.0	0.637
Tatoeba-test.eng-rue.eng.rue	0.3	0.012
Tatoeba-test.eng-rus.eng.rus	40.5	0.612
Tatoeba-test.eng-slv.eng.slv	18.8	0.357
Tatoeba-test.eng-ukr.eng.ukr	38.8	0.600

System Info:

• hf_name: eng-sla

• source_languages: eng

• target_languages: sla

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

• original_repo: Tatoeba-Challenge

• tags: ['translation']

• languages: ['en', 'be', 'hr', 'mk', 'cs', 'ru', 'pl', 'bg', 'uk', 'sl', 'sla']

• src_constituents: {'eng'}

• tgt_constituents: {'bel', 'hrv', 'orv_Cyrl', 'mkd', 'bel_Latn', 'srp_Latn', 'bul_Latn', 'ces', 'bos_Latn', 'csb_Latn', 'dsb', 'hsb', 'rus', 'srp_Cyrl', 'pol', 'rue', 'bul', 'ukr', 'slv'}

• src_multilingual: False

• tgt_multilingual: True

• prepro: normalization + SentencePiece (spm32k,spm32k)

• url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-sla/opus2m-2020-08-01.zip

• url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-sla/opus2m-2020-08-01.test.txt

• src_alpha3: eng

• tgt_alpha3: sla

• short_pair: en-sla

• chrF2_score: 0.61

• bleu: 41.0

• brevity_penalty: 0.976

• ref_len: 64809.0

• src_name: English

• tgt_name: Slavic languages

• train_date: 2020-08-01

• src_alpha2: en

• tgt_alpha2: sla

• prefer_old: False

• long_pair: eng-sla

• helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535

• transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b

• port_machine: brutasse

• port_time: 2020-08-21-14:41