language:
- en
- so
- ti
- am
- he
- mt
- ar
- afa
- multilingual
license: apache-2.0
tags:
- translation
eng-afa
source group: English
target group: Afro-Asiatic languages
OPUS readme: eng-afa
model: transformer
source language(s): eng
target language(s): acm afb amh apc ara arq ary arz hau_Latn heb kab mlt rif_Latn shy_Latn som tir
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-amh.eng.amh | 11.6 | 0.504 |
| Tatoeba-test.eng-ara.eng.ara | 12.0 | 0.404 |
| Tatoeba-test.eng-hau.eng.hau | 10.2 | 0.429 |
| Tatoeba-test.eng-heb.eng.heb | 32.3 | 0.551 |
| Tatoeba-test.eng-kab.eng.kab | 1.6 | 0.191 |
| Tatoeba-test.eng-mlt.eng.mlt | 17.7 | 0.551 |
| Tatoeba-test.eng.multi | 14.4 | 0.375 |
| Tatoeba-test.eng-rif.eng.rif | 1.7 | 0.103 |
| Tatoeba-test.eng-shy.eng.shy | 0.8 | 0.090 |
| Tatoeba-test.eng-som.eng.som | 16.0 | 0.429 |
| Tatoeba-test.eng-tir.eng.tir | 2.7 | 0.238 |
System Info:
hf_name: eng-afa
source_languages: eng
target_languages: afa
opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-afa/README.md
original_repo: Tatoeba-Challenge
tags: ['translation']
languages: ['en', 'so', 'ti', 'am', 'he', 'mt', 'ar', 'afa']
src_constituents: {'eng'}
tgt_constituents: {'som', 'rif_Latn', 'tir', 'kab', 'arq', 'afb', 'amh', 'arz', 'heb', 'shy_Latn', 'apc', 'mlt', 'thv', 'ara', 'hau_Latn', 'acm', 'ary'}
src_multilingual: False
tgt_multilingual: True
prepro: normalization + SentencePiece (spm32k,spm32k)
url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-afa/opus2m-2020-08-01.zip
url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-afa/opus2m-2020-08-01.test.txt
src_alpha3: eng
tgt_alpha3: afa
short_pair: en-afa
chrF2_score: 0.375
bleu: 14.4
brevity_penalty: 1.0
ref_len: 58110.0
src_name: English
tgt_name: Afro-Asiatic languages
train_date: 2020-08-01
src_alpha2: en
tgt_alpha2: afa
prefer_old: False
long_pair: eng-afa
helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
port_machine: brutasse
port_time: 2020-08-21-14:41