A Hybrid Approach for the Morpho-Lexical Disambiguation of Arabic

Kheira Zineb Bousmaha, Mustapha Kamel Rahmouni, Belkacem Kouninef and Lamia Belguith Hadrich
Volume: 12, No: 3, Page: 358 ~ 380, Year: 2016
10.3745/JIPS.02.0041
Keywords: Alkhalil Morphological Analyzer, Approach to Multi-Criteria Decision (MCA), Arabic Language Processing (ALP), Augmented Transition Networks (ATNs), Contextual Exploration, Tagging, Diacritization, Disambiguation Method, Segmentation
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Abstract
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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Cite this article
IEEE Style
Kheira Zineb Bousmaha, Mustapha Kamel Rahmouni, Belkacem Kouninef, and Lamia Belguith Hadrich, "A Hybrid Approach for the Morpho-Lexical Disambiguation of Arabic," Journal of Information Processing Systems, vol. 12, no. 3, pp. 358~380, 2016. DOI: 10.3745/JIPS.02.0041.

ACM Style
Kheira Zineb Bousmaha, Mustapha Kamel Rahmouni, Belkacem Kouninef, and Lamia Belguith Hadrich, "A Hybrid Approach for the Morpho-Lexical Disambiguation of Arabic," Journal of Information Processing Systems, 12, 3, (2016), 358~380. DOI: 10.3745/JIPS.02.0041.