Thomas Lebarbé

NLP-based scripting for CALL activities

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 Mirtos 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.

Mirto: A New Approach for Call Systems

The MIRTO project aims at designing a pedagogical plateform using Natural Language Processing (NLP) technologies, meant to be used by language teachers. More than an element of quality, the NLP is prerequisite, as our own, for the language learning softwares to be able to teach language as such. MIRTO tries to work out this approach, while offering an NLP based authoring system to create pedagogical objects, such as activities and scenarios.