2009 · 63 citations · 7 references
Language StudiesArabicComputer ScienceComputational LinguisticsInformation RetrievalNatural Language ProcessingMorphological Ambiguity ResolutionMorphological AnalysisMorphological FeaturesAccuracyArabic Root ExtractionArabic Root PatternsArabic StemmingMorphological Root ExtractionRoot Ambiguity ResolutionStemmingWord Roots
Stemming is one of many tools used in information retrieval to combat the vocabulary mismatch problem, in which query words do not match document words. Stemming in the Arabic language does not fit into the usual mold, because stemming in most research in other languages so far depends only on eliminating prefixes and suffixes from the word, but Arabic words contain infixes as well. In this paper we have introduced an enhanced root-based algorithm that handles the problems of affixes, including prefixes, suffixes, and infixes depending on the morphological pattern of the word. The stemming concept has been used to eliminate all kinds of affixes, including infixes. Series of simulation experiments have been conducted to test the performance of the proposed algorithm. The results obtained showed that the algorithm extracts the correct roots with an accuracy rate up to 95%
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Improving stemming for Arabic information retrieval
Leah S. Larkey, Lisa Ballesteros, Margaret E. Connell · 2002 · 360 citations
Computing, Arabic, Computer Science +14
Building a shallow Arabic Morphological Analyzer in one day
Kareem Darwish · 2002 · 174 citations · Full text
Mohammed Aljlayl, Ophir Frieder · 2002 · 172 citations
Computing, Arabic, Computer Science +14
Building an Arabic Stemmer for Information Retrieval.
Aitao Chen, Fredric C. Gey · 2002 · 140 citations
Computing, Arabic, Computer Science +14