Computer Assisted Language Learning

Mary G. Kosta, University of Western Ontario

Abstract

This paper will review natural language processing (NLP) and artificial intelligence in CALL. We will begin by surveying how these technologies can be used to teach the different language skills: speaking, listening, lexis, syntax, semantics and literacy. Examples of various NLP and ICALL systems will be provided, and ideal systems will be discussed for evaluation purposes. We will look at how NLP and ICALL systems can be incorporated in different instructional methods, and address issues with respect to conflicting teaching approaches. Next, we will discuss the effectiveness of CALL in language teaching and learning, and developmental problems facing NLP and ICALL technology. The architecture of speech technology in CALL will be explored, because, along with the integration of intelligent tutors, the refinement of speech synthesis and recognition are the biggest challenges facing CALL today. Finally, we will consider the contribution of CALL systems in the library.