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Books > Computing & IT > Applications of computing > Artificial intelligence > Natural language & machine translation
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Intelligent Language Tutors - Theory Shaping Technology (Paperback)
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Intelligent Language Tutors - Theory Shaping Technology (Paperback)
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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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