International Journal of Computer Science & Network Security

International Journal of Computer Science & Network Security (국제컴퓨터통신보호논문지학회)
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Information Retrieval Systems: Between Morphological Analyzers and Systemming Algorithms

  • Mohamed, Afaf Abdel Rhman (Department of Computer Science and Information, College of Science at Zulf, Majmaah University) ;
  • Ouni, Chafika (Department of Computer Science and Information, College of Science at Zulf, Majmaah University) ;
  • Eljack, Sarah Mustafa (Department of Computer Science and Information, College of Science at Zulf, Majmaah University) ;
  • Alfayez, Fayez (Department of Computer Science and Information, College of Science at Zulf, Majmaah University)
  • Received : 2022.03.05
  • Published : 2022.03.30
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Abstract

The main objective of an Information Retrieval System (IRS) is to obtain suitable information within a reasonable time to satisfy a user need. To achieve this purpose, an IRS should have a good indexing system that is based on natural language processing.In this context, we focus on the available Arabic language processing techniques for an IRS with the goal of contributing to an improvement in the performance. Our contribution consists of integrating morphological analysis into an IRS in order to compare the impact of morphological analysis with that of stemming algorithms.

Keywords

Acknowledgement

The authors would like to thank the Deanship of Scientifc Research at Majmaah University for supporting this work under Project Number R-2022-18.

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