eng-gmq
source group: English
target group: North Germanic languages
OPUS readme: eng-gmq
model: transformer
source language(s): eng
target language(s): dan fao isl nno nob nob_Hebr non_Latn swe
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 |
|---|---|---|
| Tatoeba-test.eng-dan.eng.dan | 57.7 | 0.724 |
| Tatoeba-test.eng-fao.eng.fao | 9.2 | 0.322 |
| Tatoeba-test.eng-isl.eng.isl | 23.8 | 0.506 |
| Tatoeba-test.eng.multi | 52.8 | 0.688 |
| Tatoeba-test.eng-non.eng.non | 0.7 | 0.196 |
| Tatoeba-test.eng-nor.eng.nor | 50.3 | 0.678 |
| Tatoeba-test.eng-swe.eng.swe | 57.8 | 0.717 |
System Info:
hf_name: eng-gmq
source_languages: eng
target_languages: gmq
opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-gmq/README.md
original_repo: Tatoeba-Challenge
tags: ['translation']
languages: ['en', 'da', 'nb', 'sv', 'is', 'nn', 'fo', 'gmq']
src_constituents: {'eng'}
tgt_constituents: {'dan', 'nob', 'nob_Hebr', 'swe', 'isl', 'nno', 'non_Latn', 'fao'}
src_multilingual: False
tgt_multilingual: True
prepro: normalization + SentencePiece (spm32k,spm32k)
url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-gmq/opus2m-2020-08-01.zip
url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-gmq/opus2m-2020-08-01.test.txt
src_alpha3: eng
tgt_alpha3: gmq
short_pair: en-gmq
chrF2_score: 0.688
bleu: 52.8
brevity_penalty: 0.973
ref_len: 71881.0
src_name: English
tgt_name: North Germanic languages
train_date: 2020-08-01
src_alpha2: en
tgt_alpha2: gmq
prefer_old: False
long_pair: eng-gmq
helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
transformers_git_sha: 6bdf998dffa70030e42f512a586f33a15e648edd
port_machine: brutasse
port_time: 2020-08-19-00:09