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Assigning the Correct Word Class to Punjabi Unknown Words using CRF
by
Sanjeev Kumar Sharma
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 142 - Number 2 |
| Year of Publication: 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
},
issue_date = { May 2016 },
volume = { 142 },
number = { 2 },
month = { May },
year = { 2016 },
issn = { 0975-8887 },
pages = {
14-17
},
numpages = {9},
url = {
https://ijcaonline.org/archives/volume142/number2/24867-2016909684/
},
doi = { 10.5120/ijca2016909684 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:43:51.152946+05:30
%A Sanjeev Kumar Sharma
%T Assigning the Correct Word Class to Punjabi Unknown Words using CRF
%J International Journal of Computer Applications
%@ 0975-8887
%V 142
%N 2
%P 14-17
%D 2016
%I Foundation of Computer Science (FCS), NY, USA
Abstract
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.
References
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