Contribution to semantic analysis of Arabic language

Authors:
Anis Zouaghi;Mounir Zrigui;Georges Antoniadis;Laroussi Merhbene
Affiliations:
LATICE, ISSAT, University of Sousse, Taffala, Sousse, Tunisia;LATICE, FSM, University of Monastir, Monastir, Tunisia;LIDILEM, University of Stendhal, Grenoble Cedex, France;LATICE, FSM, University of Monastir, Monastir, Tunisia
Venue:
Advances in Artificial Intelligence
Year:
2012

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Abstract

We propose a new approach for determining the adequate sense of Arabic words. For that, we propose an algorithm based on information retrieval measures to identify the context of use that is the closest to the sentence containing the word to be disambiguated. The contexts of use represent a set of sentences that indicates a particular sense of the ambiguous word. These contexts are generated using the words that define the senses of the ambiguous words, the exact string-matching algorithm, and the corpus. We use the measures employed in the domain of information retrieval, Harman, Croft, and Okapi combined to the Lesk algorithm, to assign the correct sense of those proposed.