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Automatic Arabic Text Summarization Approaches

by Samira Lagrini, Mohammed Redjimi, Nabiha Azizi
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 164 - Number 5
Year of Publication: 2017
Authors: Samira Lagrini, Mohammed Redjimi, Nabiha Azizi
10.5120/ijca2017913628

Samira Lagrini, Mohammed Redjimi, Nabiha Azizi . Automatic Arabic Text Summarization Approaches. International Journal of Computer Applications. 164, 5 ( Apr 2017), 31-37. DOI=10.5120/ijca2017913628

@article{ 10.5120/ijca2017913628,
author = { Samira Lagrini, Mohammed Redjimi, Nabiha Azizi },
title = { Automatic Arabic Text Summarization Approaches },
journal = { International Journal of Computer Applications },
issue_date = { Apr 2017 },
volume = { 164 },
number = { 5 },
month = { Apr },
year = { 2017 },
issn = { 0975-8887 },
pages = { 31-37 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume164/number5/27480-2017913628/ },
doi = { 10.5120/ijca2017913628 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T00:10:28.326772+05:30
%A Samira Lagrini
%A Mohammed Redjimi
%A Nabiha Azizi
%T Automatic Arabic Text Summarization Approaches
%J International Journal of Computer Applications
%@ 0975-8887
%V 164
%N 5
%P 31-37
%D 2017
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In recent years, automatic text summarization has seen renewed interest, and has been experiencing an increasing number of researches and products especially in English language. However, in Arabic language, little works and limited researches have been done in this field. This paper exposes a literature review of recent research works on Arabic text summarization. Current approaches used in this field are presented followed by a discussion about their limitations and the main challenges faced when dealing with such application. As a final point, a proposed approach to improve the quality of Arabic text summarization system is presented.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Arabic text summarization clustering RST machine learning graph theory text entailment extractive approaches.

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