An Application Oriented Arabic Morphological Analyzer
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Author |
Riad Sonbol, Nada Ghneim, Mohammed Said Desouki |
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Published in |
January 2011 |
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Abstract |
Morphological analysis is an important step in natural language processing and its various applications. Each kind of these applications needs a certain balance between: performance, accuracy, and generality of solutions (i.e. getting all possible roots); while we focus on performance with a ―good accuracy in Information retrieval applications, we try to achieve high accuracy in systems like pos-tagger and machine translation, and both high accuracy and high generality in systems like language learning systems and Arabic lexical dictionaries. In this paper, we describe our approach to build a flexible and application oriented Arabic morphological analyzer; this approach is designed to satisfy various requirements of most applications which need morphological processing. It also provides a separate stage (Original Letters Detection Algorithm) which can be plugged easily in any Other morphological analyzer to improve its performance, and with no negative effect on its reliability. Keywords: Arabic Natural Language Processing; Arabic Morphological Analysis; Stemming; Original Letters Detection Algorithms, Application oriented system. |
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