Using Hidden Markov Model to improve the accuracy of Punjabi POS tagger

POS tagger is the process of assigning a correct tag to each word of the sentence. Accuracy of all NLP tasks like grammar checker, phrase chunker, machine translation etc. depends upon the accuracy of the POS tagger. We attempted to improve the accuracy of existing Punjabi POS tagger. This POS tagge...

Full description

Bibliographic Details

Published in:	2011 IEEE International Conference on Computer Science and Automation Engineering Vol. 2; pp. 697 - 701
Main Authors:	Sharma, S. K., Lehal, G. S.
Format:	Conference Proceeding
Language:	English
Published:	IEEE 01.06.2011
Subjects:	Accuracy Hidden Markov models HMM Natural language processing POS Probability Punjabi Speech Tagging Training
ISBN:	9781424487271, 1424487277
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!