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Efficient Measuring of Readability to Improve Documents Accessibility for Arabic Language Learners
The approach is based on machine learning classification methods to discriminate between the different levels of difficulty in reading and understanding a text.
Contribution au Niveau de l'Approche Indirecte à Base de Transfert dans la Traduction Automatique
In this thesis, we address several important issues concerning the morphological analysis of Arabic language applied to textual data and machine translation.
An Accuracy-Enhanced Stemming Algorithm for Arabic Information Retrieval
This paper provides a method for indexing and retrieving Arabic texts, based on natural language processing.
Un systeme de lemmatisation pour les applications de TALN
This paper presents a method of stemming for the Arabian texts based on the linguistic techniques of the natural language processing.
Subjective Sentiment Analysis for Arabic Newswire Comments
This paper presents an approach based on supervised machine learning methods to discriminate between positive, negative and neutral Arabic reviews in online newswire.
