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Reseach Article

Methods and Algorithms for Searching Arabic Name Entity

by Boumedyen Shannaq
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 82 - Number 8
Year of Publication: 2013
Authors: Boumedyen Shannaq
10.5120/14133-2261

Boumedyen Shannaq . Methods and Algorithms for Searching Arabic Name Entity. International Journal of Computer Applications. 82, 8 ( November 2013), 1-5. DOI=10.5120/14133-2261

@article{ 10.5120/14133-2261,
author = { Boumedyen Shannaq },
title = { Methods and Algorithms for Searching Arabic Name Entity },
journal = { International Journal of Computer Applications },
issue_date = { November 2013 },
volume = { 82 },
number = { 8 },
month = { November },
year = { 2013 },
issn = { 0975-8887 },
pages = { 1-5 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume82/number8/14133-2261/ },
doi = { 10.5120/14133-2261 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:57:12.746597+05:30
%A Boumedyen Shannaq
%T Methods and Algorithms for Searching Arabic Name Entity
%J International Journal of Computer Applications
%@ 0975-8887
%V 82
%N 8
%P 1-5
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

This research paper is an attempt to revise the basic algorithms which have been developed for name matching, such as English Soundx and n-gram. It's an attempt to developed the basic algorithms to process the Arabic names . The main objective of this work is to develop new algorithm to improve the name matching for Arabic names . The developed algorithm could be used also to process other names from other languages . It's an attempt to develop and enhance work places who in charge to collect customer information such as Civil Service Department ,Bank Systems ,and other organizations. This work will study and analyze the most common used algorithms that used to process personal names. For this purpose this wok builds database of specific Arabic names of 6753 along with 93 training queries and 60 test queries. The basic rustles are based on the comparative analysis of ASoundx and n-gram algorithm respectively . Recall and precision measuring effectiveness have been used to evaluate the proposed algorithm. The obtained results are superior to existing approaches . This work also develop a special software that could be used by entry data worker to help them to process and to select the proper personal Arabic name entry for a particular client .

References
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  3. Salman H. AL-ANI, 1970. Arabic Phonology an Acoustical and Physiological Investigation by Indiana university.
  4. Nicholas Awde, Putros Samano, 1998. THE ARABIC ALPHABET How to Read and Write IT.
  5. AbiFares, H. 1998. Comparison of Latin and Arabic scripts. http://www. sakkal. com/articles/Arabic_Type_ Articl e/Arabic_Type3. html
  6. Syed Uzair Aqeel, Steve Beitzel, Eric Jensen,Ophir Frieder, David Grossman. On the Development of Name Search Techniques for Arabic.
  7. Zobel, J. , & Dart, P. 1995. Finding Approximate Matches in Large Lexicons. Software - Practice and Experience.
Index Terms

Computer Science
Information Sciences

Keywords

Name matching algorithms ArabicSoundx Soundx n-gram Information retrieval Systems.