Abstract

The field of information retrieval has witnessed tangible progress over the past decades in response to the expanded usage of the internet and the dire need of users to search for massive amounts of digital information. Given the steady increase of Arabic e-content, excellent information retrieval systems must be devised to suit the nature and requirements of the Arabic language. This paper sheds light on the current progress in the field of Arabic information retrieval, identifies the challenges that hinder the progress of this science, and proposes suggestions for further research. This paper uses the descriptive analytical method to examine the reality of Arabic studies in the field of information retrieval and to study the problems that are being faced in this area. Specifically, the previous literature on information retrieval is reviewed by searching the related databases and websites.

Highlights

  • The amount of global digital content has been increased by the continuous information flow from websites, company and government records, e-books, e-newspapers, e-magazines, and other online media

  • Text information retrieval involves the processing of natural languages and the retrieval of documents that contain the information that is needed by the user from huge databases

  • The query that is entered by the user to access the required information is reformulated to comply with the information retrieval model as well as to add other keywords or modify the weights of the existent words to achieve better search accuracy

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Summary

INTRODUCTION

The amount of global digital content has been increased by the continuous information flow from websites, company and government records, e-books, e-newspapers, e-magazines, and other online media. The query that is entered by the user to access the required information is reformulated to comply with the information retrieval model as well as to add other keywords or modify the weights of the existent words to achieve better search accuracy. Arabic is a derivative—rather than inflectional—language with one of the most sophisticated morphological systems This language divides the stems based on a specific set of weights to develop words of different meanings from the same stem. All these considerations present challenges to the mechanization of the morphological, syntactic, and semantic analyses of the Arabic language and to the retrieval of Arabic texts

Automatic Indexing
Automatic Query Reformulation
Matching Function Adjustment
Automatic Documents Classification
Web Page Automatic Search
Findings
CONCLUSION
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