metadata
language:
- en
- hi
- multilingual
license: cc-by-4.0
tags:
- translation
- opus-mt-tc
model-index:
- name: opus-mt-tc-base-en-hi
results:
- task:
type: translation
name: Translation eng-hin
dataset:
name: tatoeba-test-v2021-08-07
type: tatoeba_mt
args: eng-hin
metrics:
- type: bleu
value: 22.2
name: BLEU
Opus Tatoeba English-Hindi
This model was obtained by running the script convert_marian_to_pytorch.py. The original models were trained by J�rg Tiedemann using the MarianNMT library. See all available MarianMTModel models on the profile of the Helsinki NLP group.
- dataset: opus+bt
- model: transformer-align
- source language(s): eng
- target language(s): hin
- model: transformer-align
- pre-processing: normalization + SentencePiece (spm32k,spm32k)
- download: opus+bt-2021-04-10.zip
- test set translations: opus+bt-2021-04-10.test.txt
- test set scores: opus+bt-2021-04-10.eval.txt
Benchmarks
| testset | BLEU | chr-F | #sent | #words | BP |
|---|---|---|---|---|---|
| newsdev2014.eng-hin | 13.9 | 0.421 | 520 | 9538 | 1.000 |
| newstest2014-hien.eng-hin | 17.4 | 0.442 | 2507 | 60878 | 0.989 |
| Tatoeba-test.eng-hin | 22.2 | 0.485 | 5000 | 32904 | 1.000 |
| tico19-test.eng-hin | 30.6 | 0.539 | 2100 | 62738 | 0.988 |