|
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
|
| Volume 142 - Issue 2 |
| Published: May 2016 |
| Authors: Sanjeev Kumar Sharma |
10.5120/ijca2016909684
|
Sanjeev Kumar Sharma . Assigning the Correct Word Class to Punjabi Unknown Words using CRF. International Journal of Computer Applications. 142, 2 (May 2016), 14-17. DOI=10.5120/ijca2016909684
@article{ 10.5120/ijca2016909684,
author = { Sanjeev Kumar Sharma },
title = { Assigning the Correct Word Class to Punjabi Unknown Words using CRF },
journal = { International Journal of Computer Applications },
year = { 2016 },
volume = { 142 },
number = { 2 },
pages = { 14-17 },
doi = { 10.5120/ijca2016909684 },
publisher = { Foundation of Computer Science (FCS), NY, USA }
}
%0 Journal Article
%D 2016
%A Sanjeev Kumar Sharma
%T Assigning the Correct Word Class to Punjabi Unknown Words using CRF%T
%J International Journal of Computer Applications
%V 142
%N 2
%P 14-17
%R 10.5120/ijca2016909684
%I Foundation of Computer Science (FCS), NY, USA
Part of Speech tagging has a vital role in different fields of natural language processing. It can be defined as the process of assigning a tag or a label to a word according to its morphological or syntactical properties. The objective of this paper is to develop a POS tagger based on hybrid approach which is combination of rule based approach and CRF based approach. In this, the tagset used 36 tags which is proposed by TDIL for Indian languages.