language:
- bn
- or
- gu
- mr
- ur
- hi
- as
- si
- inc
- en
tags:
- translation
license: apache-2.0
inc-eng
source group: Indic languages
target group: English
OPUS readme: inc-eng
model: transformer
source language(s): asm awa ben bho gom guj hif_Latn hin mai mar npi ori pan_Guru pnb rom san_Deva sin snd_Arab urd
target language(s): eng
model: transformer
pre-processing: normalization + SentencePiece (spm32k,spm32k)
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 |
---|---|---|
newsdev2014-hineng.hin.eng | 8.9 | 0.341 |
newsdev2019-engu-gujeng.guj.eng | 8.7 | 0.321 |
newstest2014-hien-hineng.hin.eng | 13.1 | 0.396 |
newstest2019-guen-gujeng.guj.eng | 6.5 | 0.290 |
Tatoeba-test.asm-eng.asm.eng | 18.1 | 0.363 |
Tatoeba-test.awa-eng.awa.eng | 6.2 | 0.222 |
Tatoeba-test.ben-eng.ben.eng | 44.7 | 0.595 |
Tatoeba-test.bho-eng.bho.eng | 29.4 | 0.458 |
Tatoeba-test.guj-eng.guj.eng | 19.3 | 0.383 |
Tatoeba-test.hif-eng.hif.eng | 3.7 | 0.220 |
Tatoeba-test.hin-eng.hin.eng | 38.6 | 0.564 |
Tatoeba-test.kok-eng.kok.eng | 6.6 | 0.287 |
Tatoeba-test.lah-eng.lah.eng | 16.0 | 0.272 |
Tatoeba-test.mai-eng.mai.eng | 75.6 | 0.796 |
Tatoeba-test.mar-eng.mar.eng | 25.9 | 0.497 |
Tatoeba-test.multi.eng | 29.0 | 0.502 |
Tatoeba-test.nep-eng.nep.eng | 4.5 | 0.198 |
Tatoeba-test.ori-eng.ori.eng | 5.0 | 0.226 |
Tatoeba-test.pan-eng.pan.eng | 17.4 | 0.375 |
Tatoeba-test.rom-eng.rom.eng | 1.7 | 0.174 |
Tatoeba-test.san-eng.san.eng | 5.0 | 0.173 |
Tatoeba-test.sin-eng.sin.eng | 31.2 | 0.511 |
Tatoeba-test.snd-eng.snd.eng | 45.7 | 0.670 |
Tatoeba-test.urd-eng.urd.eng | 25.6 | 0.456 |
System Info:
hf_name: inc-eng
source_languages: inc
target_languages: eng
opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/inc-eng/README.md
original_repo: Tatoeba-Challenge
tags: ['translation']
languages: ['bn', 'or', 'gu', 'mr', 'ur', 'hi', 'as', 'si', 'inc', 'en']
src_constituents: {'pnb', 'gom', 'ben', 'hif_Latn', 'ori', 'guj', 'pan_Guru', 'snd_Arab', 'npi', 'mar', 'urd', 'bho', 'hin', 'san_Deva', 'asm', 'rom', 'mai', 'awa', 'sin'}
tgt_constituents: {'eng'}
src_multilingual: True
tgt_multilingual: False
prepro: normalization + SentencePiece (spm32k,spm32k)
url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/inc-eng/opus2m-2020-08-01.zip
url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/inc-eng/opus2m-2020-08-01.test.txt
src_alpha3: inc
tgt_alpha3: eng
short_pair: inc-en
chrF2_score: 0.502
bleu: 29.0
brevity_penalty: 1.0
ref_len: 64706.0
src_name: Indic languages
tgt_name: English
train_date: 2020-08-01
src_alpha2: inc
tgt_alpha2: en
prefer_old: False
long_pair: inc-eng
helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
port_machine: brutasse
port_time: 2020-08-21-14:41