Title :
Ambiguous Arabic Words Disambiguation
Author :
Merhbene, Laroussi ; Zouaghi, Anis ; Zrigu, Mounir
Author_Institution :
Fac. of Sci. of Monastir, UTIC, Monastir, Tunisia
Abstract :
In this paper we put forward an unsupervised system WSD-AL for Arabic word disambiguation. We apply some pre-processing steps to texts containing the ambiguous word in the corpus and we extract the most relevant words. Then, we put to use the Context-Matching algorithm that returns a semantic coherence score corresponding to the context of use that is semantically closest to the original sentence. These Contexts are generated using the glosses of the ambiguous word and the corpus. The results found by the proposed system are satisfactory, as the rate of disambiguation obtained equals 78.
Keywords :
natural language processing; pattern matching; unsupervised learning; ambiguous Arabic words disambiguation; context-matching algorithm; unsupervised system WSD-AL; Artificial intelligence; Clustering algorithms; Databases; Dictionaries; Distributed computing; Handicapped aids; Software engineering; Speech recognition; Testing; Thesauri; Context of uses; Context-Matching algorithm; Pre-processing; glosses;
Conference_Titel :
Software Engineering Artificial Intelligence Networking and Parallel/Distributed Computing (SNPD), 2010 11th ACIS International Conference on
Conference_Location :
London
Print_ISBN :
978-1-4244-7422-6
Electronic_ISBN :
978-1-4244-7421-9
DOI :
10.1109/SNPD.2010.32
