Automatic Selection of Defining Vocabulary in an Explanatory Dictionary

  • Alexander Gelbukh
  • Grigori Sidorov
Conference paper

DOI: 10.1007/3-540-45715-1_29

Part of the Lecture Notes in Computer Science book series (LNCS, volume 2276)
Cite this paper as:
Gelbukh A., Sidorov G. (2002) Automatic Selection of Defining Vocabulary in an Explanatory Dictionary. In: Gelbukh A. (eds) Computational Linguistics and Intelligent Text Processing. CICLing 2002. Lecture Notes in Computer Science, vol 2276. Springer, Berlin, Heidelberg

Abstract

One of the problems in converting a conventional (human-oriented) explanatory dictionary into a semantic database intended for the use in automatic reasoning systems is that such a database should not contain any cycles in its definitions, while the traditional dictionaries usually contain them. The cycles can be eliminated by declaring some words “primitive” (having no definition) while all other words are defined in terms of these ones. A method for detecting the cycles in definitions and selecting a minimal (though not the smallest) defining vocabulary is presented. Different strategies for selecting the words for the defining vocabulary are discussed and experimental data for a real dictionary are presented.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2002

Authors and Affiliations

  • Alexander Gelbukh
    • 1
  • Grigori Sidorov
    • 1
  1. 1.Center for Computing Research (CIC)National Polytechnic Institute (IPN)Mexico CityMexico

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