Integrating NLP in ICALL Applications

Abstract

This paper describes how mature NLP that has been successfully applied in the area of controlled language checking can be used to deliver intelligent CALL applications1. It describe how an autonomous, long-distance second-language learning system for advanced learners2 can be created. The architecture of the system consists of a multimodal user interface, a set of skill-specific learning tools, and a set of NLP-based evaluation tools. All modules are integrated in a flexible and scalable software architecture allowing for the use of NLP and ensuring a user-friendly environment based on advanced concepts in language didactics. The multimodal user interface is web-based and incorporate off-the-shelf ASR. The set of skill-specific learning tools consists of a reading, listening, speaking and a writing tool. The thrust of the project is to show the potential of NLP in evaluation of students’ productions.