Paper: Parsing Spoken Language Without Syntax

ACL ID C96-1010
Title Parsing Spoken Language Without Syntax
Venue International Conference on Computational Linguistics
Session Main Conference
Year 1996
Authors
  • Jean-Yves Antoine (Institute of Information and Applied Mathematics Grenoble, Grenoble France)

Parsing spontaneous speech is a difficult task because of the ungrammatical nature of most spoken utterances. To overpass this problem, we propose in this paper to handle the spoken language without considering syntax. We describe thus a microsemantic parser which is uniquely based on an associative network of semantic priming. Experimental results on spontaneous speech show that this parser stands for a robust alternative to standard ones.