Natural language processing techniques in computer-assisted language learning: Status and instructional issues

Abstract

The role of natural language processing (NLP) techniques, such as parsing and semantic analysis, is described within current language tutoring systems. Significant trends are distinguished in the exploitation of these techniques, design issues and tradeoffs are examined, and current and potential contributions of NLP technology are discussed with respect to instructional theory and educational practice. Limitations and problems are addressed in using NLP tools for teaching, and approaches to assessment are considered.