The Application of Multiple Criterion Analysis Approach for Disambiguation in Arabic Natural Language Processing

摘要

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.