Automatic Selection of Defining Vocabulary in an Explanatory Dictionary

Authors:
Alexander F. Gelbukh;Grigori Sidorov
Affiliations:
-;-
Venue:
CICLing '02 Proceedings of the Third International Conference on Computational Linguistics and Intelligent Text Processing
Year:
2002

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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.