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Building an Arabic Semantic Lexicon for Hajj
by
Omar Batarfi,
Mohamed Yehia Dahab,
Ahmed Ezz
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 181 - Number 39 |
| Year of Publication: 2019 |
| Authors: Omar Batarfi, Mohamed Yehia Dahab, Ahmed Ezz |
10.5120/ijca2019918325
|
Omar Batarfi, Mohamed Yehia Dahab, Ahmed Ezz . Building an Arabic Semantic Lexicon for Hajj. International Journal of Computer Applications. 181, 39 ( Jan 2019), 9-15. DOI=10.5120/ijca2019918325
@article{
10.5120/ijca2019918325,
author = {
Omar Batarfi,
Mohamed Yehia Dahab,
Ahmed Ezz
},
title = { Building an Arabic Semantic Lexicon for Hajj },
journal = {
International Journal of Computer Applications
},
issue_date = { Jan 2019 },
volume = { 181 },
number = { 39 },
month = { Jan },
year = { 2019 },
issn = { 0975-8887 },
pages = {
9-15
},
numpages = {9},
url = {
https://ijcaonline.org/archives/volume181/number39/30320-2019918325/
},
doi = { 10.5120/ijca2019918325 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T01:08:34.911593+05:30
%A Omar Batarfi
%A Mohamed Yehia Dahab
%A Ahmed Ezz
%T Building an Arabic Semantic Lexicon for Hajj
%J International Journal of Computer Applications
%@ 0975-8887
%V 181
%N 39
%P 9-15
%D 2019
%I Foundation of Computer Science (FCS), NY, USA
Abstract
Semantic lexicon is a lexicon augmented with information of lexical relationships among words. Although the semantic lexicon is the backbone of many intelligent applications, there is no serious effort has been done in developing an Arabic semantic lexicon. The main goal of this work is to build an automatic Arabic semantic lexicon. To achieve this goal, we select an Arabic dictionary and augment it with morphological information and semantic features such as Patterns, Meronymy, Holonymy and etc. The obtained results show that the objectives of this work are successfully accomplished, relations between different terms have been built and the glosses are automatically extracted for these terms.
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Index Terms
Computer Science
Information Sciences
Keywords