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Reusing a syntactic generator for CALL purposes

Published online by Cambridge University Press:  01 May 2000

ANNE VANDEVENTER
Affiliation:
LATL, Université de Genève, Switzerland; e-mail: [email protected]
MARIE-JOSÉE HAMEL
Affiliation:
UMIST, Manchester, UK

Abstract

This article presents briefly the advantages and disadvantages of reusing natural language processing (NLP) tools in the CALL context. The issue is addressed through the description of GBGen, a sentence generation system. The abstract semantic representation used as input for the generator is described, as well as the actual generation process, from a deep structure to a grammatical sentence through transformations and the application of morphology. The possible didactic value of such a tool is then evaluated and the outline of a CALL scenario given. Finally, proposed adaptations of the generator for the CALL context are discussed.

Type
Research Article
Copyright
© 2000 Cambridge University Press

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