NLP-based scripting for CALL activities

Georges Antoniadis (1) , Sandra Echinard (1) , Olivier Kraif (1) , Thomas Lebarbé (1) , Mathieu Loiseau (1) , Claude Ponton (1)

1 LIDILEM - LInguistique et DIdactique des Langues Étrangères et Maternelles

This article focuses on the development of Natural Language Processing (NLP) tools for Computer Assisted Language Learning (CALL). After identifying the inherent limitations of NLP-free tools, we describe the general framework of Mirto, an NLP-based authoring platform under construction in our laboratory, and organized into four distinct layers: functions, scripts, activities and scenarios. Through several examples, we explain how Mirto's architecture allows to implement state-of-the-art NLP functions, integrate them into easily handled scripts in order to create, without computing skills, didactic activities that could be recorded in more complex sequences or scenarios.

Keywords: computer assisted language learning (CALL); extensible markup language (XML)

Domains: Computer Science [cs]; Technology for Human Learning

Georges Antoniadis, Sandra Echinard, Olivier Kraif, Thomas Lebarbé, Mathieu Loiseau, et al.. NLP-based scripting for CALL activities. eLearning for Computational Linguistics and Computational Linguistics for eLearning, International Workshop in Association with COLING 2004, 2004, Geneva, Switzerland. pp.18-25. ⟨hal-00190373⟩