Automatic Understanding of Spontaneous Arabic Speech - A Numerical Model

This work is part of a large research project entitled "Oreillodule" aimed at developing tools for automatic speech recognition, translation, and synthesis for Arabic language. Our attention has mainly been focused on an attempt to present the semantic analyzer developed for the automatic comprehension of the standard spontaneous arabic speech. The findings on the effectiveness of the semantic decoder are quite satisfactory. MOTS-CLÉS : compréhension automatique, parole arabe spontanée, analyse sémantique, modèle numérique, extraction automatique, contexte pertinent, information mutuelle moyenne, k-means.