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| XMODEL: An XML-based Morphological Analyzer for Arabic Language
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Full
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 PDF(238.9KB) |
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Source |
International Journal of Computational Linguistics (IJCL) |
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Table of Contents |
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Complete Issue PDF(3.24MB) |
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Volume: 1 Issue: 2 |
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Pages: |
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Publication
Date: October 2010 |
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ISSN
(Online): 2180-1266 |
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Pages |
12 - 26 |
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Author(s) |
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Published
Date |
30-10-2010 |
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Publisher |
CSC
Journals, Kuala Lumpur,
Malaysia |
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ADDITIONAL
INFORMATION |
| Keywords Abstract References Cited by Related Articles Collaborative
Colleague |
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KEYWORDS: NLP, Morphology, Arabic Morphological Analyzer, Morphological Automaton, XMODEL language |
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| Morphological analysis is an essential stage in language engineering applications. For the Arabic language, this stage is not easy to develop because the Arabic language has some particularities such as the phenomena of agglutination and a lot of morphological ambiguity phenomenon. These reasons make the design of the morphological analyzer for Arabic somewhat difficult and require lots of other tools and treatments. The volume of the lexicon is another big problem of the morphological analysis of the Arabic Language which affects directly the process of the analyzing. In this paper we present a Morphological Analyzer for Modern Standard Arabic based on Arabic Morphological Automaton technique and using a new and innovative language (XMODEL) to represent the Arabic morphological knowledge in an optimal way. Both the Arabic Morphological Analyzer and Arabic Morphological Automaton are implemented in Java language and used XML technology. Buckwalter Arabic Morphological Analyzer and Xerox Arabic Finite State Morphology are two of the best known morphological analyzers for Modern Standard Arabic and they are also available and documented. Our Morphological Analyzer can be exploited by Natural Language Processing (NLP) applications such as machine translation, orthographical correction, information retrieval and both syntactic and semantic analyzers. At the end, an evaluation of Xerox and our system is done. |
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| Mourad Gridach : Colleagues
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| Noureddine Chenfour : Colleagues
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