ISSN: 2375-3943
American Journal of Computation, Communication and Control  
Manuscript Information
The Application of Multiple Criterion Analysis Approach for Disambiguation in Arabic Natural Language Processing
American Journal of Computation, Communication and Control
Vol.5 , No. 1, Publication Date: Feb. 12, 2018, Page: 24-29
207 Views Since February 12, 2018, 39 Downloads Since Feb. 12, 2018

Youssef Hoceini, ARCHIPEL Laboratory, Tahri Mohammed University of Bechar, Béchar, Algeria; Faculty for Applied Science, Informatics Department, University of Oran1-Ahmed Benbella, Oran, Algeria.


Mustapha Guezouri, Faculty for Applied Science, Informatics Department, University of Oran1-Ahmed Benbella, Oran, Algeria.


The aim of this paper is to present a combination of natural language processing and multi-criterion analysis in order to reach an effective analysis when dealing with linguistic data from various sources. The coexistence of these two concepts has allowed us, based on a set of actions and criteria, to develop a coherent system that integrates the entire process of textual data analysis (no-vowelezed Arabic texts) into decision making in case of ambiguity. Our solution is based on decision theory and a MCA approach with a TOPSIS method. It allows the multi-solution classification of morpho-syntactical ambiguity cases in order to come out with the best performance and reduce the number of candidate solutions.


Arabic Morpho-syntactical Analysis, Disambiguation, Multi-criterion Approach, TOPSIS, Complete Aggregation


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