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POS Tagging of Gujarati Text using VITERBI and SVM

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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Year of Publication: 2019
Authors:
Manisha Prajapati, Archit Yajnik,
10.5120/ijca2019918514

Manisha Prajapati and Archit Yajnik and. POS Tagging of Gujarati Text using VITERBI and SVM. International Journal of Computer Applications 181(43):32-35, March 2019. BibTeX

@article{10.5120/ijca2019918514,
	author = {Manisha Prajapati and Archit Yajnik and},
	title = {POS Tagging of Gujarati Text using VITERBI and SVM},
	journal = {International Journal of Computer Applications},
	issue_date = {March 2019},
	volume = {181},
	number = {43},
	month = {Mar},
	year = {2019},
	issn = {0975-8887},
	pages = {32-35},
	numpages = {4},
	url = {http://www.ijcaonline.org/archives/volume181/number43/30405-2019918514},
	doi = {10.5120/ijca2019918514},
	publisher = {Foundation of Computer Science (FCS), NY, USA},
	address = {New York, USA}
}

Abstract

Grammatical feature (POS) Labeling is a testing undertaking to distinguish the significance of each word in a sentence. This paper shows the assignment of distinguishing Grammatical form TAG for each transform in a Guajarati sentence utilizing the system of support Vector Machine and Viterbi deciphering method. Guajarati corpus of 1700 words is taken and tried it precisely. Labeling is done utilizing Viterbi and SVM and the outcome is examined in four classifications. In every one of the classifications Viterbi based method gives much better correctness’s.

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Keywords

SVM, Tagged Corpus, BISTag set, Viterbi.