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In this paper, we present an Arabic morphological analysis system that assigns, for each word of an unvoweled Arabic sentence, a unique root depending on the context. The proposed system is composed of two modules. The first one consists of an analysis out of context. In this module, we segment each word of the sentence into its elementary morphological(More)
Méthodes de lissage d'une approche morpho-statistique pour la voyellation automatique des textes arabes Abstract. We present in this work a new approach for the Automatic diacritization for Arabic texts using three stages. During the first phase, we integrated a lexical database containing the most frequent words of Arabic with morphological analysis by(More)
Hybrid approaches for automatic vowelization of Arabic texts are presented in this article. The process is made up of two modules. In the first one, a morphological analysis of the text words is performed using the open source morphological Analyzer AlKhalil Morpho Sys. Outputs for each word analyzed out of context, are its different possible vowelizations.(More)
Despite the recognition of the Arabic language by the United Nations and its active development, there are no powerful interactive dictionaries to accompany efficiently this development. In addition, most of the existing dictionaries require knowledge of morphological rules to get the meaning of words. We studied in this paper the " Interactive Dictionary(More)
This work falls within the framework of the Natural Language Processing. Its objective is to assess the level of ambiguity caused by the absence of diacritical marks in Arabic texts during the information extraction process. We have carried out a statistical study based on four indicators: the root, the lemma, the stem and the POS tag of the word. For this,(More)
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