eng-gmw
source group: English
target group: West Germanic languages
OPUS readme: eng-gmw
model: transformer
source language(s): eng
target language(s): afr ang_Latn deu enm_Latn frr fry gos gsw ksh ltz nds nld pdc sco stq swg yid
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-engdeu.eng.deu | 21.4 | 0.518 |
news-test2008-engdeu.eng.deu | 21.0 | 0.510 |
newstest2009-engdeu.eng.deu | 20.4 | 0.513 |
newstest2010-engdeu.eng.deu | 22.9 | 0.528 |
newstest2011-engdeu.eng.deu | 20.5 | 0.508 |
newstest2012-engdeu.eng.deu | 21.0 | 0.507 |
newstest2013-engdeu.eng.deu | 24.7 | 0.533 |
newstest2015-ende-engdeu.eng.deu | 28.2 | 0.568 |
newstest2016-ende-engdeu.eng.deu | 33.3 | 0.605 |
newstest2017-ende-engdeu.eng.deu | 26.5 | 0.559 |
newstest2018-ende-engdeu.eng.deu | 39.9 | 0.649 |
newstest2019-ende-engdeu.eng.deu | 35.9 | 0.616 |
Tatoeba-test.eng-afr.eng.afr | 55.7 | 0.740 |
Tatoeba-test.eng-ang.eng.ang | 6.5 | 0.164 |
Tatoeba-test.eng-deu.eng.deu | 40.4 | 0.614 |
Tatoeba-test.eng-enm.eng.enm | 2.3 | 0.254 |
Tatoeba-test.eng-frr.eng.frr | 8.4 | 0.248 |
Tatoeba-test.eng-fry.eng.fry | 17.9 | 0.424 |
Tatoeba-test.eng-gos.eng.gos | 2.2 | 0.309 |
Tatoeba-test.eng-gsw.eng.gsw | 1.6 | 0.186 |
Tatoeba-test.eng-ksh.eng.ksh | 1.5 | 0.189 |
Tatoeba-test.eng-ltz.eng.ltz | 20.2 | 0.383 |
Tatoeba-test.eng.multi | 41.6 | 0.609 |
Tatoeba-test.eng-nds.eng.nds | 18.9 | 0.437 |
Tatoeba-test.eng-nld.eng.nld | 53.1 | 0.699 |
Tatoeba-test.eng-pdc.eng.pdc | 7.7 | 0.262 |
Tatoeba-test.eng-sco.eng.sco | 37.7 | 0.557 |
Tatoeba-test.eng-stq.eng.stq | 5.9 | 0.380 |
Tatoeba-test.eng-swg.eng.swg | 6.2 | 0.236 |
Tatoeba-test.eng-yid.eng.yid | 6.8 | 0.296 |
System Info:
hf_name: eng-gmw
source_languages: eng
target_languages: gmw
opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-gmw/README.md
original_repo: Tatoeba-Challenge
tags: ['translation']
languages: ['en', 'nl', 'lb', 'af', 'de', 'fy', 'yi', 'gmw']
src_constituents: {'eng'}
tgt_constituents: {'ksh', 'nld', 'eng', 'enm_Latn', 'ltz', 'stq', 'afr', 'pdc', 'deu', 'gos', 'ang_Latn', 'fry', 'gsw', 'frr', 'nds', 'yid', 'swg', 'sco'}
src_multilingual: False
tgt_multilingual: True
prepro: normalization + SentencePiece (spm32k,spm32k)
url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-gmw/opus2m-2020-08-01.zip
url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-gmw/opus2m-2020-08-01.test.txt
src_alpha3: eng
tgt_alpha3: gmw
short_pair: en-gmw
chrF2_score: 0.609
bleu: 41.6
brevity_penalty: 0.9890000000000001
ref_len: 74922.0
src_name: English
tgt_name: West Germanic languages
train_date: 2020-08-01
src_alpha2: en
tgt_alpha2: gmw
prefer_old: False
long_pair: eng-gmw
helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
port_machine: brutasse
port_time: 2020-08-21-14:41
- Downloads last month
- 19