Intelligent Language Tutors: Theory Shaping Technology

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Overview

The techniques of natural language processing (NLP) have been widely applied in machine translation and automated message understanding, but have only recently been utilized in second language teaching. This book offers both an argument for and a critical examination of this new application, with an examination of how systems may be designed to exploit the power of NLP, accomodate its limitations, and minimize its risks. This volume marks the first collection of work in the U.S. and Canada that incorporates advanced human language technologies into language tutoring systems, covering languages as diverse as Arabic, Spanish, Japanese, and
English.

The book is organized into sections that express the levels of analysis dealt with in learning and teaching a language and with the tasks of the student as writer, reader, conversant, and actor in the world. These sections bring together research by specialists in linguistics, artificial intelligence, psychology, instructional design, and language teaching. In addition to providing detailed descriptions of working systems, amply illustrated with screens from lesson and authoring interfaces, the contributors address a spectrum of common issues:

• What can current NLP technology contribute to computer-assisted language instruction and to research on language learning?

• How can this technology meet the demands of pedagogical theory for communicative language teaching in authentic contexts?

• How can designers constrain tutoring environments to ensure accurate analysis of learners' language?

• What can NLP-based systems teach us about language acquisition, about linguistic theory, and about theories of language pedagogy?

• What lessons have been learned in using these systems to date?

Discipline-specific issues are illuminated as well: the relative merits of the major syntactic frameworks for NLP-based language tutoring; the adaptation of theories like lexical conceptual structure to support semantic interpretation; the integration of input language with visual microworlds and dialogue games; the pragmatics of the tutoring discourse; the selection of instructional principles to guide system design; and the accomodation of design to individual differences and learner styles. A concluding section assesses this work from larger theoretical and practical perspectives -- experimental psychology and psycholinguistics, linguistics, language teaching, and second language acquisition research.

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Product Details

  • ISBN-13: 9780805815023
  • Publisher: Taylor & Francis
  • Publication date: 9/28/1995
  • Pages: 408
  • Lexile: 1380L (what's this?)
  • Product dimensions: 6.20 (w) x 9.30 (h) x 1.20 (d)

Table of Contents

Introduction: The Case for Intelligent CALL
Contributors
1 Advanced Technologies for Language Learning: The BRIDGE Project Within the ARI Language Tutor Program 7
2 A Principle-Based Parser for Foreign Language Tutoring in German and Arabic 23
3 Instructor as Author in an Adaptive, Multimedia, Foreign Language Tutor 45
4 CALLE: An Exploratory Environment for Foreign Language Learning 55
5 ALICE-chan: A Case Study in ICALL Theory and Practice 77
6 A Discourse Processing Approach to Computer-Assisted Language Learning 99
7 GPARS: A Suite of Grammar Assessment Systems 121
8 History of an AI Spy Game: Spion 141
9 Herr Kommissar: An ICALL Conversation Simulator for Intermediate German 153
10 Tutorial Tools for Language Learning by Two-Medium Dialogue 183
11 Ling Worlds: An Intelligent Object-Oriented Environment for Second-Language Tutoring 201
12 Modeling Individual Tutorial Interactions: Theoretical and Empirical Bases of ICALL 221
13 Lessons Learned from the Athena Language Learning Project: Using Natural Language Processing, Graphics, Speech Processing, and Interactive Video for Communication-Based Language Learning 243
14 The Athena Language Learning Project NLP System: A Multilingual System for Conversation-Based Language Learning 257
15 Application of Learning Principles to the Design of a Second Language Tutor 273
16 On Beyond Syntax: Use of Lexical Conceptual Structure for Intelligent Tutoring 289
17 Evaluating Foreign Language Tutoring Systems 317
18 AI and Language Learning: Theory and Evaluations 327
19 ICALL and Second Language Acquisition 345
20 Linking Theories of Learning with Intelligent Computer-Assisted Language Learning ICALL 359
Author Index 371
Subject Index 379
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