eng-alv
source group: English
target group: Atlantic-Congo languages
OPUS readme: eng-alv
model: transformer
source language(s): eng
target language(s): ewe fuc fuv ibo kin lin lug nya run sag sna swh toi_Latn tso umb wol xho yor zul
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-ewe.eng.ewe | 4.9 | 0.212 |
Tatoeba-test.eng-ful.eng.ful | 0.6 | 0.079 |
Tatoeba-test.eng-ibo.eng.ibo | 3.5 | 0.255 |
Tatoeba-test.eng-kin.eng.kin | 10.5 | 0.510 |
Tatoeba-test.eng-lin.eng.lin | 1.1 | 0.273 |
Tatoeba-test.eng-lug.eng.lug | 5.3 | 0.340 |
Tatoeba-test.eng.multi | 11.4 | 0.429 |
Tatoeba-test.eng-nya.eng.nya | 18.1 | 0.595 |
Tatoeba-test.eng-run.eng.run | 13.9 | 0.484 |
Tatoeba-test.eng-sag.eng.sag | 5.3 | 0.194 |
Tatoeba-test.eng-sna.eng.sna | 26.2 | 0.623 |
Tatoeba-test.eng-swa.eng.swa | 1.0 | 0.141 |
Tatoeba-test.eng-toi.eng.toi | 7.0 | 0.224 |
Tatoeba-test.eng-tso.eng.tso | 46.7 | 0.643 |
Tatoeba-test.eng-umb.eng.umb | 7.8 | 0.359 |
Tatoeba-test.eng-wol.eng.wol | 6.8 | 0.191 |
Tatoeba-test.eng-xho.eng.xho | 27.1 | 0.629 |
Tatoeba-test.eng-yor.eng.yor | 17.4 | 0.356 |
Tatoeba-test.eng-zul.eng.zul | 34.1 | 0.729 |
System Info:
hf_name: eng-alv
source_languages: eng
target_languages: alv
opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-alv/README.md
original_repo: Tatoeba-Challenge
tags: ['translation']
languages: ['en', 'sn', 'rw', 'wo', 'ig', 'sg', 'ee', 'zu', 'lg', 'ts', 'ln', 'ny', 'yo', 'rn', 'xh', 'alv']
src_constituents: {'eng'}
tgt_constituents: {'sna', 'kin', 'wol', 'ibo', 'swh', 'sag', 'ewe', 'zul', 'fuc', 'lug', 'tso', 'lin', 'nya', 'yor', 'run', 'xho', 'fuv', 'toi_Latn', 'umb'}
src_multilingual: False
tgt_multilingual: True
prepro: normalization + SentencePiece (spm32k,spm32k)
url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-alv/opus2m-2020-08-01.zip
url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-alv/opus2m-2020-08-01.test.txt
src_alpha3: eng
tgt_alpha3: alv
short_pair: en-alv
chrF2_score: 0.429
bleu: 11.4
brevity_penalty: 1.0
ref_len: 10603.0
src_name: English
tgt_name: Atlantic-Congo languages
train_date: 2020-08-01
src_alpha2: en
tgt_alpha2: alv
prefer_old: False
long_pair: eng-alv
helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
port_machine: brutasse
port_time: 2020-08-21-14:41
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