Ambiguity resolution in the human syntactic parser: an experimental study

  • Authors:

  • Howard S. Kurtzman

  • Affiliations:

  • Massachusetts Institute of Technology, Cambridge, MA

  • Venue:
  • ACL '84 Proceedings of the 10th International Conference on Computational Linguistics and 22nd annual meeting on Association for Computational Linguistics
  • Year:
  • 1984

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Abstract

Models of the human syntactic parsing mechanism can be classified according to the ways in which they operate upon ambiguous input. Each mode of operation carries particular requirements concerning such basic computational characteristics of the parser as its storage capacities and the scheduling of its processes, and so specifying which mode is actually embodied in human parsing is a useful approach to determining the functional organization of the human parser. In Section 1, a preliminary taxonomy of parsing models is presented, based upon a consideration of modes of handling ambiguities; and then, in Section 2, psycholinguistic evidence is presented which indicates what type of model best describes the human parser.