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Part of Speech Tagging of Punjabi Language using N Gram Model

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International Journal of Computer Applications
© 2014 by IJCA Journal
Volume 100 - Number 19
Year of Publication: 2014
Authors:
Sumeer Mittal
Navdeep Singh Sethi
Sanjeev Kumar Sharma
10.5120/17634-8229

Sumeer Mittal, Navdeep Singh Sethi and Sanjeev Kumar Sharma. Article: Part of Speech Tagging of Punjabi Language using N Gram Model. International Journal of Computer Applications 100(19):19-23, August 2014. Full text available. BibTeX

@article{key:article,
	author = {Sumeer Mittal and Navdeep Singh Sethi and Sanjeev Kumar Sharma},
	title = {Article: 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},
	month = {August},
	note = {Full text available}
}

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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