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Linguistic issues in the development of ReGra: A grammar checker for Brazilian Portuguese

Published online by Cambridge University Press:  01 December 1998

RONALDO TEIXEIRA MARTINS ,
RICARDO HASEGAWA ,
MARIA DAS GRAÇAS VOLPE NUNES ,
GISELE MONTILHA  and
OSVALDO NOVAIS DE OLIVEIRA
RONALDO TEIXEIRA MARTINS
Affiliation:
Instituto de Estudos da Linguagem, Unicamp, Campinas, SP, Brazil, e-mail: rotma@nilc.icmsc.sc.usp.br
RICARDO HASEGAWA
Affiliation:
Instituto de Ciências Matemáticas de São Carlos – USP – CP 668 – 13560-970 São Carlos, SP, Brazil, e-mail: rh@icmsc.sc.usp.brmdgvnune@icmsc.sc.usp.br
MARIA DAS GRAÇAS VOLPE NUNES
Affiliation:
Instituto de Ciências Matemáticas de São Carlos – USP – CP 668 – 13560-970 São Carlos, SP, Brazil, e-mail: rh@icmsc.sc.usp.brmdgvnune@icmsc.sc.usp.br
GISELE MONTILHA
Affiliation:
Departamento de Letras, Unesp, Araraquara, SP, Brazil, e-mail: gisele@nilc.icmsc.sc.usp.br
OSVALDO NOVAIS DE OLIVEIRA
Affiliation:
Instituto de Física de São Carlos, USP – CP 369 – 13560-970 São Carlos, SP, Brazil, e-mail: chu@ifqsc.sc.usp.br
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Abstract

This paper presents a number of linguistic and computational issues identified during the implementation of a general use grammar checker for contemporary Brazilian Portuguese, ReGra, that has been incorporated in the word processor REDATOR by Itautec/Philco (Brazil). Two main strategies were employed in the implementation of correction rules: an error-driven, localist approach based on the identification of patterns indicative of grammatical mistakes; and a more generic approach that requires automatic syntactic analysis. In this discussion, particular emphasis is given to the development of a parser based on a phrase structure grammar comprising over 600 production rules. As for the computational performance, ReGra permits texts to be revised at a rate of ca. 200 words per second.

Type
Research Article
Information
Natural Language Engineering , Volume 4 , Issue 4 , December 1998 , pp. 287 - 307
Copyright
© 1998 Cambridge University Press

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Footnotes

This project was supported by Itautec/Philco S. A. The authors also acknowledge fellowships from CNPq and are grateful to their colleagues in the ReGra project.