Volta

AN ACCURACY-ENHANCED STEMMING ALGORITHM FOR ARABIC INFORMATION RETRIEVAL

Unknown authors · 2014
hash_id: 9688134752d6be4d375d8489d876e7a215c16708f014abff86fc75b1ede1f8d2 · DOI: 10.14311/nnw.2014.24.007

This paper provides a method for indexing and retrieving Arabic texts, based on natural language processing. Our approach exploits the notion of template in word stemming and replaces the words by their stems. This technique has proven to be effective since it has returned significant relevant retrieval results by decreasing silence during the retrieval phase. Series of experiments have been conducted to test the performance of the proposed algorithm ESAIR (Enhanced Stemmer for Arabic Information Retrieval). The results obtained indicate that the algorithm extracts the exact root with an accuracy rate up to 96% and hence, improving information retrieval.

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References (6)

High performance stemming algorithm to handle multi-level inflections in Urdu L… secondary
An Analytical Analysis of Text Stemming Methodologies in Information Retrieval … secondary
Subjective Sentiment Analysis for Arabic Newswire Comments secondary
Building a Multilevel Inflection Handling Stemmer to Improve Search Effectivene… secondary
Efficient Measuring of Readability to Improve Documents Accessibility for Arabi… secondary
Contribution au Niveau de l'Approche Indirecte à Base de Transfert dans la Trad… secondary

Cited by (1)

Arabic/English world translation disambiguation approach based on naive Bayesia… primary