Web-Based Arabic Morphological Analyzer
CICLing '01 Proceedings of the Second International Conference on Computational Linguistics and Intelligent Text Processing
Building a shallow Arabic Morphological Analyzer in one day
SEMITIC '02 Proceedings of the ACL-02 workshop on Computational approaches to semitic languages
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We present in this paper an Arabic morpho-syntactic analyzer (Morphar+) built on top of the free Arabic Morphological analyzer (AraMorph). It is known that AraMorph produces a large number of morphological solutions, but little information to select the appropriate morphological solution for words in context. For this purpose, we start characterizing/describing all particles of the Arabic language, broken noun patterns, and most nominal and verbal sentence structures; next, we formulated dozens of rules associated with these descriptions and then programmed them in a simple and efficient manner to help deducing not only the appropriate solution but also both case and ending case marks. We divided the Arabic particles into groups according to their grammatical functions for extracting the exact and final morphological function of words. Appropriate contextual rules have been stated based on the above descriptions; after applying our contextual rules on the output produced by AraMorph, we obtained an improvement of about 6% in the number of correct words with an accurate morphological function. Our goal is to reduce the error rate to less than 5% in order to integrate this very fast and accurate morpho-syntactic analyzer into a system to translate Arabic written text into Arabic sign language; we believe that this will give enough information to achieve a quick and effective translation.