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NLP-based scripting for CALL activities

Abstract : 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.
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Submitted on : Friday, November 23, 2007 - 8:43:06 AM
Last modification on : Thursday, March 24, 2022 - 10:20:02 AM
Long-term archiving on: : Monday, April 12, 2010 - 4:02:44 AM


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  • HAL Id : hal-00190373, version 1



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⟩



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