The automatic transcription of text in handwritten documents has many applications, from
automatic document processing, to indexing and document understanding. One of the most …

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 paper, we study the use of so-called word trigger pairs to improve an existing
language model, which is typically a trigram model in combination with a cache component …

This paper focuses on studying topic identification for Arabic language by using two
methods. The first method is the well-known kNN (k Nearest Neighbors) which is used as …

Le but de cette thèse est d'améliorer la qualité des systèmes de recommandation pour la
navigation Web en utilisant la séquentialité des actions de navigation des utilisateurs. La …

In this paper, we present the idea of cross-lingual triggers. We exploit this formalism in order
to build up a bilingual dictionary for machine translation. We describe the idea of cross …

In natural language and especially in spontaneous speech, people often group words in
order to constitute phrases which become usual expressions. This is due to phonological (to …

One of the most controversial issues in applied linguistics concerns the role of conscious
and unconscious processes in second language acquisition. Some scholars believe …

The aim of this study is topic identification by using two methods, in this case, a new one that
we have proposed: TR-classifier which is based on computing triggers, and the well-known …

This paper proposes a novel application of a statistical language model to opinionated
document retrieval targeting weblogs (blogs). In particular, we explore the use of the trigger …