Topic Identification is one of the important keys for the success of many applications. Indeed,
there are few works in this field concerning Arabic language because of lack of standard …

In this article, we describe the latest version of Sibylle, an AAC system that permits persons
who have severe physical disabilities to enter text with any computer application, as well as …

In this paper we present two well-known methods for topic identification. The first one is a
TFIDF classifier approach, and the second one is a based machine learning approach which …

The context analysis of customer requests in a natural language call routing problem is
investigated in the paper. One of the most significant problems in natural language call …

In this paper, we present different techniques to improve natural language call routing. We
first describe methods to improve a single classifier: boosting, discriminative training (DT) …

The context analysis of customer requests in a natural language call routing problem is
investigated in this paper. Understanding of customer intention is one of the most important …

Cet article présente un état de l'art des techniques d'ingénierie linguistique développées au
cours des vingt dernières années dans le domaine de l'aide à la communication pour les …

This thesis investigates the capacities of adaptive methods for word prediction. We present
and evaluate several adaptation methods: First, we consider strategies enabling to adapt to …

L'adaptation des modèles de langage dans les systèmes de reconnaissance de la parole
est un des enjeux importants de ces dernières années. Elle permet de poursuivre la …

In this paper, a new topic identification method, WSIM, is investigated. It exploits the
similarity between words and topics. This measure is a function of the similarity between …