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 i m p l e m e n t n o v e l f u n c t i o n a l i t i e s in intelligent c o m p u t e r 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 e l e m e n.