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POS Tagging of Gujarati Text using VITERBI and SVM

by Manisha Prajapati, Archit Yajnik and
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 181 - Number 43
Year of Publication: 2019
Authors: Manisha Prajapati, Archit Yajnik and
10.5120/ijca2019918514

Manisha Prajapati, Archit Yajnik and . POS Tagging of Gujarati Text using VITERBI and SVM. International Journal of Computer Applications. 181, 43 ( Mar 2019), 32-35. DOI=10.5120/ijca2019918514

@article{ 10.5120/ijca2019918514,
author = { Manisha Prajapati, Archit Yajnik and },
title = { POS Tagging of Gujarati Text using VITERBI and SVM },
journal = { International Journal of Computer Applications },
issue_date = { Mar 2019 },
volume = { 181 },
number = { 43 },
month = { Mar },
year = { 2019 },
issn = { 0975-8887 },
pages = { 32-35 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume181/number43/30405-2019918514/ },
doi = { 10.5120/ijca2019918514 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T01:08:58.232834+05:30
%A Manisha Prajapati
%A Archit Yajnik and
%T POS Tagging of Gujarati Text using VITERBI and SVM
%J International Journal of Computer Applications
%@ 0975-8887
%V 181
%N 43
%P 32-35
%D 2019
%I Foundation of Computer Science (FCS), NY, 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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Index Terms

Computer Science
Information Sciences

Keywords

SVM Tagged Corpus BISTag set Viterbi.

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