A Hybrid Approach for the Morpho-Lexical Disambiguation of Arabic
Author(s) -
Kheira Zineb Bousmaha,
Mustapha Kamel Rahmouni,
Belkacem Kouninef,
Lamia Hadrich Belguith
Publication year - 2016
Publication title -
journal of information processing systems
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.288
H-Index - 23
eISSN - 2092-805X
pISSN - 1976-913X
DOI - 10.3745/jips.02.0041
Subject(s) - morpho , computer science , arabic , natural language processing , artificial intelligence , linguistics , botany , philosophy , biology
In order to considerably reduce the ambiguity rate, we propose in this article a disambiguation approach that is based on the selection of the right diacritics at different analysis levels. This hybrid approach combines a linguistic approach with a multi-criteria decision one and could be considered as an alternative choice to solve the morpho-lexical ambiguity problem regardless of the diacritics rate of the processed text. As to its evaluation, we tried the disambiguation on the online Alkhalil morphological analyzer (the proposed approach can be used on any morphological analyzer of the Arabic language) and obtained encouraging results with an F-measure of more than 80%.
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