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Reseach Article

Comparative Study of Text Summarization in Indian Languages

by Dhanya P. M, Jathavedan M
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 75 - Number 6
Year of Publication: 2013
Authors: Dhanya P. M, Jathavedan M
10.5120/13115-0449

Dhanya P. M, Jathavedan M . Comparative Study of Text Summarization in Indian Languages. International Journal of Computer Applications. 75, 6 ( August 2013), 17-21. DOI=10.5120/13115-0449

@article{ 10.5120/13115-0449,
author = { Dhanya P. M, Jathavedan M },
title = { Comparative Study of Text Summarization in Indian Languages },
journal = { International Journal of Computer Applications },
issue_date = { August 2013 },
volume = { 75 },
number = { 6 },
month = { August },
year = { 2013 },
issn = { 0975-8887 },
pages = { 17-21 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume75/number6/13115-0449/ },
doi = { 10.5120/13115-0449 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:43:32.863679+05:30
%A Dhanya P. M
%A Jathavedan M
%T Comparative Study of Text Summarization in Indian Languages
%J International Journal of Computer Applications
%@ 0975-8887
%V 75
%N 6
%P 17-21
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Text Summarization has been an area of interest since many years . There are a lot of summarization methods in foreign languages like English, Chinese [9], [10], Arabic[11], Korean [12], Persian [13] etc. Recently some methods have been developed for Indian languages also. This paper presents a comparison of various text summarization methods seen in Indian languages. Summarization techniques in Tamil, Kannada, Odia, Bengali, Punjabi and Gujarathi are taken for the purpose of comparison. Sample text consisting of three sentences is taken as an example and we try to find out the summary sentences using all the eight methods.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Feature Weight Score