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

نویسندگان

  • Louisette Emirkanian
  • Lorne H. Bouchard
چکیده

Lorne H. Bouchard D6p. de math6matiques et d'infonnatique Universit6 du Qu6bec h MontrEal C.P. 8888, Succursale "A" Montr6al, QC Canada H3C 3P8 R15320 @ UQAM. BITNET 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 sub-tasks 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.

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تاریخ انتشار 1988