eng-aav
source group: English
target group: Austro-Asiatic languages
OPUS readme: eng-aav
model: transformer
source language(s): eng
target language(s): hoc hoc_Latn kha khm khm_Latn mnw vie vie_Hani
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: opus-2020-07-26.zip
test set translations: opus-2020-07-26.test.txt
test set scores: opus-2020-07-26.eval.txt
Benchmarks
| testset | BLEU | chr-F |
|---|---|---|
| Tatoeba-test.eng-hoc.eng.hoc | 0.1 | 0.033 |
| Tatoeba-test.eng-kha.eng.kha | 0.4 | 0.043 |
| Tatoeba-test.eng-khm.eng.khm | 0.2 | 0.242 |
| Tatoeba-test.eng-mnw.eng.mnw | 0.8 | 0.003 |
| Tatoeba-test.eng.multi | 16.1 | 0.311 |
| Tatoeba-test.eng-vie.eng.vie | 33.2 | 0.508 |
System Info:
hf_name: eng-aav
source_languages: eng
target_languages: aav
opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-aav/README.md
original_repo: Tatoeba-Challenge
tags: ['translation']
languages: ['en', 'vi', 'km', 'aav']
src_constituents: {'eng'}
tgt_constituents: {'mnw', 'vie', 'kha', 'khm', 'vie_Hani', 'khm_Latn', 'hoc_Latn', 'hoc'}
src_multilingual: False
tgt_multilingual: True
prepro: normalization + SentencePiece (spm32k,spm32k)
url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-aav/opus-2020-07-26.zip
url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-aav/opus-2020-07-26.test.txt
src_alpha3: eng
tgt_alpha3: aav
short_pair: en-aav
chrF2_score: 0.311
bleu: 16.1
brevity_penalty: 1.0
ref_len: 38261.0
src_name: English
tgt_name: Austro-Asiatic languages
train_date: 2020-07-26
src_alpha2: en
tgt_alpha2: aav
prefer_old: False
long_pair: eng-aav
helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
transformers_git_sha: 6bdf998dffa70030e42f512a586f33a15e648edd
port_machine: brutasse
port_time: 2020-08-19-00:09