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MoGAR: Morphological Generator for Arabic Language using Rule-based Generation Process

by Ahmed Benfatma, Mohamed Amine Cheragui
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 174 - Number 3
Year of Publication: 2017
Authors: Ahmed Benfatma, Mohamed Amine Cheragui
10.5120/ijca2017915350

Ahmed Benfatma, Mohamed Amine Cheragui . MoGAR: Morphological Generator for Arabic Language using Rule-based Generation Process. International Journal of Computer Applications. 174, 3 ( Sep 2017), 22-28. DOI=10.5120/ijca2017915350

@article{ 10.5120/ijca2017915350,
author = { Ahmed Benfatma, Mohamed Amine Cheragui },
title = { MoGAR: Morphological Generator for Arabic Language using Rule-based Generation Process },
journal = { International Journal of Computer Applications },
issue_date = { Sep 2017 },
volume = { 174 },
number = { 3 },
month = { Sep },
year = { 2017 },
issn = { 0975-8887 },
pages = { 22-28 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume174/number3/28387-2017915350/ },
doi = { 10.5120/ijca2017915350 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T00:21:10.891281+05:30
%A Ahmed Benfatma
%A Mohamed Amine Cheragui
%T MoGAR: Morphological Generator for Arabic Language using Rule-based Generation Process
%J International Journal of Computer Applications
%@ 0975-8887
%V 174
%N 3
%P 22-28
%D 2017
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The automatic generation of text (also known as the automatic generation of textual resources) consists in initially producing words and sentences with meaning. Based on parameters generally derived from other phases of processing, such as analyzing the translation process. The aim of our work is to contribute to the development of the Arabic language processing, by proposing a technique of generation of words (verbs and derivable nouns) and sentences based on the use of variables (features). The latter may have morphological traits (gender, number, voice, etc.), or syntactic traits (structure of Arabic sentence), so the originality of this work lies mainly in the identification of the different features which can Influenced on the process of generation but also to find a kind of cohabitation between these traits to lead to a correct generation.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Arabic language Morphology generation Root Pattern derivation inflexion.

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