• DocumentCode
    827315
  • Title

    Comparison of connectionist and traditional methods applied to phrase classification and grammaticality determination

  • Author

    Wyard, P.J. ; Warren, N.P.

  • Author_Institution
    Speech & Language Technol. Sect. British Telecom Labs., Ipswich, UK
  • Volume
    139
  • Issue
    6
  • fYear
    1992
  • fDate
    12/1/1992 12:00:00 AM
  • Firstpage
    397
  • Lastpage
    404
  • Abstract
    Two sentence classification experiments are described. In the first, the neural net HODYNE (Higher Order Dynamic Topology Net) is shown to be better than a keyword method at classifying banking phrases. In the second, three techniques are compared at determining the grammaticality of strings of syntactic tags from the LOB (Lancaster Oslo Bergen) corpus: a method using the statistics of tag pairs. HODYNE, and a multilayer perception HODYNE and the statistical method perform significantly better than the MLP
  • Keywords
    bank data processing; computational linguistics; natural languages; neural nets; pattern recognition; HODYNE; Higher Order Dynamic Topology Net; Lancaster Oslo Bergen corpus; MLP; banking phrases; grammaticality determination; keyword method; multilayer perception; neural net; phrase classification; sentence classification; statistical method; syntactic tags; tag pairs;
  • fLanguage
    English
  • Journal_Title
    Radar and Signal Processing, IEE Proceedings F
  • Publisher
    iet
  • ISSN
    0956-375X
  • Type

    jour

  • Filename
    180513