2010 · 13 citations · 15 references
Language StudiesArabicComputer ScienceArabic Morphological AnalysisComputational LinguisticsNatural Language ProcessingMorphological AnalysisN-gram AnalysisTerm ExtractionArabic Root ExtractionArabic StemmingRoot Word RecognitionStemming
In this article, we present a new application that evaluated the performance of a number of the Arabic root extraction methods. The implemented methods in this system are selected according to a previous classification, where these methods are classified into five categories. We have selected a method for each category. These methods are: Light Stemmer, Arabic Stemming without a root dictionary, MT-based Arabic Stemmer, N-gram based on similarity coefficient and N-gram based on dissimilarity coefficient. This evaluation was conducted on the same terms in a corpus of two thousand words and their roots. These words are taken from Arabic dictionary "Lesan Al-Arab". This application has allowed us to have a first original comparison between the evaluated methods. This system works in two ways: normal and automatic.
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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
Arabic stemming without a root dictionary
Kazem Taghva, Rania Fawzi Elkhoury, Jeffrey Coombs · 2005 · 233 citations
Computing, Arabic, Computer Science +11
Building a shallow Arabic Morphological Analyzer in one day
Kareem Darwish · 2002 · 174 citations · Full text