Hostname: page-component-586b7cd67f-gb8f7 Total loading time: 0 Render date: 2024-11-25T23:45:27.131Z Has data issue: false hasContentIssue false

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

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)