sla-eng
source group: Slavic languages
target group: English
OPUS readme: sla-eng
model: transformer
source 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
target language(s): eng
model: transformer
pre-processing: normalization + SentencePiece (spm32k,spm32k)
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-ceseng.ces.eng | 26.7 | 0.542 |
newstest2009-ceseng.ces.eng | 25.2 | 0.534 |
newstest2010-ceseng.ces.eng | 25.9 | 0.545 |
newstest2011-ceseng.ces.eng | 26.8 | 0.544 |
newstest2012-ceseng.ces.eng | 25.6 | 0.536 |
newstest2012-ruseng.rus.eng | 32.5 | 0.588 |
newstest2013-ceseng.ces.eng | 28.8 | 0.556 |
newstest2013-ruseng.rus.eng | 26.4 | 0.532 |
newstest2014-csen-ceseng.ces.eng | 31.4 | 0.591 |
newstest2014-ruen-ruseng.rus.eng | 29.6 | 0.576 |
newstest2015-encs-ceseng.ces.eng | 28.2 | 0.545 |
newstest2015-enru-ruseng.rus.eng | 28.1 | 0.551 |
newstest2016-encs-ceseng.ces.eng | 30.0 | 0.567 |
newstest2016-enru-ruseng.rus.eng | 27.4 | 0.548 |
newstest2017-encs-ceseng.ces.eng | 26.5 | 0.537 |
newstest2017-enru-ruseng.rus.eng | 31.0 | 0.574 |
newstest2018-encs-ceseng.ces.eng | 27.9 | 0.548 |
newstest2018-enru-ruseng.rus.eng | 26.8 | 0.545 |
newstest2019-ruen-ruseng.rus.eng | 29.1 | 0.562 |
Tatoeba-test.bel-eng.bel.eng | 42.5 | 0.609 |
Tatoeba-test.bul-eng.bul.eng | 55.4 | 0.697 |
Tatoeba-test.ces-eng.ces.eng | 53.1 | 0.688 |
Tatoeba-test.csb-eng.csb.eng | 23.1 | 0.446 |
Tatoeba-test.dsb-eng.dsb.eng | 31.1 | 0.467 |
Tatoeba-test.hbs-eng.hbs.eng | 56.1 | 0.702 |
Tatoeba-test.hsb-eng.hsb.eng | 46.2 | 0.597 |
Tatoeba-test.mkd-eng.mkd.eng | 54.5 | 0.680 |
Tatoeba-test.multi.eng | 53.2 | 0.683 |
Tatoeba-test.orv-eng.orv.eng | 12.1 | 0.292 |
Tatoeba-test.pol-eng.pol.eng | 51.1 | 0.671 |
Tatoeba-test.rue-eng.rue.eng | 19.6 | 0.389 |
Tatoeba-test.rus-eng.rus.eng | 54.1 | 0.686 |
Tatoeba-test.slv-eng.slv.eng | 43.4 | 0.610 |
Tatoeba-test.ukr-eng.ukr.eng | 53.8 | 0.685 |
System Info:
hf_name: sla-eng
source_languages: sla
target_languages: eng
opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/sla-eng/README.md
original_repo: Tatoeba-Challenge
tags: ['translation']
languages: ['be', 'hr', 'mk', 'cs', 'ru', 'pl', 'bg', 'uk', 'sl', 'sla', 'en']
src_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'}
tgt_constituents: {'eng'}
src_multilingual: True
tgt_multilingual: False
prepro: normalization + SentencePiece (spm32k,spm32k)
url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/sla-eng/opus2m-2020-08-01.zip
url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/sla-eng/opus2m-2020-08-01.test.txt
src_alpha3: sla
tgt_alpha3: eng
short_pair: sla-en
chrF2_score: 0.6829999999999999
bleu: 53.2
brevity_penalty: 0.9740000000000001
ref_len: 70897.0
src_name: Slavic languages
tgt_name: English
train_date: 2020-08-01
src_alpha2: sla
tgt_alpha2: en
prefer_old: False
long_pair: sla-eng
helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
port_machine: brutasse
port_time: 2020-08-21-14:41
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