eng-bat
source group: English
target group: Baltic languages
OPUS readme: eng-bat
model: transformer
source language(s): eng
target language(s): lav lit ltg prg_Latn sgs
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 |
---|---|---|
newsdev2017-enlv-englav.eng.lav | 24.0 | 0.546 |
newsdev2019-enlt-englit.eng.lit | 20.9 | 0.533 |
newstest2017-enlv-englav.eng.lav | 18.3 | 0.506 |
newstest2019-enlt-englit.eng.lit | 13.6 | 0.466 |
Tatoeba-test.eng-lav.eng.lav | 42.8 | 0.652 |
Tatoeba-test.eng-lit.eng.lit | 37.1 | 0.650 |
Tatoeba-test.eng.multi | 37.0 | 0.616 |
Tatoeba-test.eng-prg.eng.prg | 0.5 | 0.130 |
Tatoeba-test.eng-sgs.eng.sgs | 4.1 | 0.178 |
System Info:
hf_name: eng-bat
source_languages: eng
target_languages: bat
opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-bat/README.md
original_repo: Tatoeba-Challenge
tags: ['translation']
languages: ['en', 'lt', 'lv', 'bat']
src_constituents: {'eng'}
tgt_constituents: {'lit', 'lav', 'prg_Latn', 'ltg', 'sgs'}
src_multilingual: False
tgt_multilingual: True
prepro: normalization + SentencePiece (spm32k,spm32k)
url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-bat/opus2m-2020-08-01.zip
url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-bat/opus2m-2020-08-01.test.txt
src_alpha3: eng
tgt_alpha3: bat
short_pair: en-bat
chrF2_score: 0.616
bleu: 37.0
brevity_penalty: 0.956
ref_len: 26417.0
src_name: English
tgt_name: Baltic languages
train_date: 2020-08-01
src_alpha2: en
tgt_alpha2: bat
prefer_old: False
long_pair: eng-bat
helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
port_machine: brutasse
port_time: 2020-08-21-14:41
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