Azzeddine Mazroui

Work place: University Mohammed First, Faculty of Sciences, Oujda, Morocco



Research Interests: Image Compression, Image Manipulation, Image Processing


Azzeddine Mazroui is a Full Professor in Mohammed First University, Morocco. He received the "Doctorat d’Etat" in numerical analysis at the Mohammed First University, 2000, and PhD in probability and statistics at the Pierre & Marie Curie University France, 1993. He is the director of the Natural Language Processing team of the Laboratory Researches in Computer Science ( His main research interests include the areas of NLP and image processing.

Author Articles
Parsing Arabic Nominal Sentences Using Context Free Grammar and Fundamental Rules of Classical Grammar

By Nabil Ababou Azzeddine Mazroui Rachid Belehbib

DOI:, Pub. Date: 8 Aug. 2017

This work falls within the framework of the Arabic natural language processing. We are interested in parsing Arabic texts. Existing parsers generate parse trees that give an idea about the structure of the sentence without considering the syntactic functions specific to the Arabic language. Thus, the results are still insufficient in terms of syntactic information. The system we have developed in this article takes into consideration all these syntactic functions. This system begins with a morphological analysis in the context. Then, it uses a CFG grammar to extract the phrases and ends by exploiting the formalism of unification grammar and traditional grammar to combine these phrases and generate the final sentence structure.

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