Knowledge integration in a robust and efficient morpho-syntactic analyzer for French

  • Authors:
  • Louisette Emirkanian;Lorne H. Bouchard

  • Affiliations:
  • Université du Québec à Montréal, Montréal, QC, Canada;Université du Québec à Montréal, Montréal, QC, Canada H3C 3P8

  • Venue:
  • COLING '88 Proceedings of the 12th conference on Computational linguistics - Volume 1
  • Year:
  • 1988

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Abstract

We present a morpho-syntactic analyzer for French which is capable of automatically detecting and of correcting (automatically or with user help) spelling mistakes, agreement errors and certain frequently encountered syntactic errors. Emphasizing the specific language knowledge that is used, we describe the major subtasks of this analyzer: word categorization by dictionary look-up and spelling correction, construction of a parse tree or of a forest of parse trees, correction of syntactic and morphological errors by processing the parse tree. The spelling corrector module is designed to help correct the spelling mistakes of a French novice, as opposed to those of an experienced typist. The syntax analysis module is driven by an empirical grammar for French and is based on the work of Tomita. The presentation is based on the design and implementation of a prototype of the system which is written in Lisp for the Macintosh computer.