Paper: Using Language Resources in an Intelligent Tutoring System for French

ACL ID P98-2146
Title Using Language Resources in an Intelligent Tutoring System for French
Venue Annual Meeting of the Association of Computational Linguistics
Session Main Conference
Year 1998
Authors

This paper presents a project that investigates to what extent computational linguistic methods and tools used at GETA for machine translation can be used to implement novel functionalities in intelligent computer assisted language learning. Our intelligent tutoring system project is still in its early phases. The learner module is based on an empirical study of French as used by Acadian elementary students living in New- Brunswick, Canada. Additionally, we are studying the state of the art of systems using Artificial Intelligence techniques as well as NLP resources and/or methodologies for teaching language, especially for bilingual and minority groups. (*) On sabbatical leave at GETA-CLIPS, Grenoble, France for 1997-1998. define the learner model.