Predicting the receptive lexical Competence of Language Learners through a personalised and adaptive Model integrating a meaning-based Approach KU Leuven
This project is situated in the intersection of Computer-Assisted Language Learning and Natural Language Processing and aims at modeling the receptive lexical competence of French and Dutch as a foreign language learners. Recently, a number of computational linguistic models have been elaborated to automatically predict a language learner's individual lexical competence. However, these studies present two shortcomings: (1) they adopt a ...