Catching the Cheshire Cat

  • Authors:
  • Christer Johansson

  • Affiliations:
  • Lund University, Sweden

  • Venue:
  • COLING '94 Proceedings of the 15th conference on Computational linguistics - Volume 2
  • Year:
  • 1994

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Abstract

Finding useful phrases is important in applications like information retrieval, and text-to-speech systems. One of the currently most used statistics is the mutual information ratio. This paper compares the mutual information ratio and a measure that takes temporal ordering into account. Using this modified measure, some local syntactic constraints as well as phrases are captured.