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