Research Article
Part of Speech Tagging of Punjabi Language using N Gram Model
|
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
|
| Volume 100 - Issue 19 |
| Published: August 2014 |
| Authors: Sumeer Mittal, Navdeep Singh Sethi, Sanjeev Kumar Sharma |
10.5120/17634-8229
|
Sumeer Mittal, Navdeep Singh Sethi, Sanjeev Kumar Sharma . Part of Speech Tagging of Punjabi Language using N Gram Model. International Journal of Computer Applications. 100, 19 (August 2014), 19-23. DOI=10.5120/17634-8229
@article{ 10.5120/17634-8229,
author = { Sumeer Mittal,Navdeep Singh Sethi,Sanjeev Kumar Sharma },
title = { Part of Speech Tagging of Punjabi Language using N Gram Model },
journal = { International Journal of Computer Applications },
year = { 2014 },
volume = { 100 },
number = { 19 },
pages = { 19-23 },
doi = { 10.5120/17634-8229 },
publisher = { Foundation of Computer Science (FCS), NY, USA }
}
%0 Journal Article
%D 2014
%A Sumeer Mittal
%A Navdeep Singh Sethi
%A Sanjeev Kumar Sharma
%T Part of Speech Tagging of Punjabi Language using N Gram Model%T
%J International Journal of Computer Applications
%V 100
%N 19
%P 19-23
%R 10.5120/17634-8229
%I Foundation of Computer Science (FCS), NY, USA
Abstract
POS tagger is the process of assigning a correct tag to each word of the sentence. We attempted to improve the accuracy of existing Punjabi POS tagger. This POS tagger lacks in resolving the ambiguity of a no of words as it uses only hand written Rules. A Bi-gram Model has been used to solve the part of speech tagging problem. An annotated corpus was used for training and estimating of bi gram probabilities.
References
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