Efficient and easy to use transliteration for Indian languages
telugu
, kannada
, tamil
, malayalam
, marathi
, hindi
are the current supported languages.
Via docker
# Start the container in background
docker run -d -p 8080:8080 notaitech/deeptranslit:hindi
# Query from python
import requests
requests.post('http://localhost:8080/sync', json={"data": ['mera naam amitab.']}).json()
As python module
pip install --upgrade deeptranslit
from deeptranslit import DeepTranslit
# hindi
transliterator = DeepTranslit('hindi')
# Single sentence prediction
transliterator.transliterate('mera naam amitab.')
# [{'pred': 'मेरा नाम अमिताब.', 'prob': 0.25336900797483103}]
# Multiple sentence prediction
transliterator.transliterate(['mera naam amitab.', 'amitab-aur-abhishek'])
#[[{'pred': 'मेरा नाम अमिताब.', 'prob': 0.25336900797483103}],
# [{'pred': 'अमिताब-और-अभिषेक', 'prob': 0.1027598988040056}]]
amitab.
-> अमिताब.
, amitab-aur-abhishek
-> अमिताब-और-अभिषेक
)transliterate('amitab amitab')
is equivalent to transliterate('amitab')
or transliterate('amitab amitab amitab')