Natural Language Processing Techniques in Computer-Assisted Language Learning: Status and Instructional Issues

Describes the role of natural language processing (NLP) techniques, such as parsing and semantic analysis, within current language tutoring systems. Examines trends, design issues and tradeoffs, and potential contributions of NLP techniques with respect to instructional theory and educational practi...

Full description

Saved in:
Bibliographic Details
Published inInstructional science Vol. 23; no. 5-6; p. 351
Main Authors Holland, V. Melissa, Kaplan, Jonathan D
Format Journal Article
LanguageEnglish
Published 01.11.1995
Subjects
Computer Assisted Instruction
Computer Assisted Language Learning
Instructional Design
Instructional Theory
Intelligent Tutoring Systems
Knowledge Representation
Natural Language Processing
Parsing
Second Language Instruction
Second Language Learning
Semantic Analysis
Semantics
Online AccessGet more information

Cover

More Information
Summary:Describes the role of natural language processing (NLP) techniques, such as parsing and semantic analysis, within current language tutoring systems. Examines trends, design issues and tradeoffs, and potential contributions of NLP techniques with respect to instructional theory and educational practice. Addresses limitations and problems in using NLP tools, and considers approaches to assessment. Contains 112 references. (JKP)
ISSN:0020-4277
DOI:10.1007/BF00896878