Arabic Stemmer for Search Engines Information Retrieval

Abstract

Arabic language is very different and difficult structure than other languages, that’s because it is a very rich language with complex morphology. Many stemmers have been developed for Arabic language but still there are many weakness and problems. There is still lack of usage of Arabic stemming in search engines. This paper introduces a rooted word Arabic stemmer technique. The results of the introduced technique for six Arabic sentences are used in famous search engines Google Chrome, Internet Explore and Mozilla Firefox to check the effect of using Arabic stemming in these search engines in terms of the total number of searched pages and the search time ratio for actual sentences and their stemming results. The results show that Arabic words stemming increase and accelerate the search engines output.

Authors and Affiliations

Ahmed Khalid, Zakir Hussain, Mirza Baig

Keywords

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  • EP ID EP95872
  • DOI 10.14569/IJACSA.2016.070154
  • Views 96
  • Downloads 0

How To Cite

Ahmed Khalid, Zakir Hussain, Mirza Baig (2016). Arabic Stemmer for Search Engines Information Retrieval. International Journal of Advanced Computer Science & Applications, 7(1), 407-411. https://europub.co.uk/articles/-A-95872