Word formation in natural language processing systems

  • Authors:
  • Roy J. Byrd

  • Affiliations:
  • IBM Thomas J. Watson Research Center, Yorktown Heights, New York

  • Venue:
  • IJCAI'83 Proceedings of the Eighth international joint conference on Artificial intelligence - Volume 2
  • Year:
  • 1983

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Abstract

Systems which process natural language require a reliable source of information about words. Not only must their lexical subsystems handle a large number of known words; they must also cope with coinages. The morphological principles underlying the notion "possible word" are under active study by linguists, and are articulated in the theory of word formation. This paper presents a technique for building lexical subsystems which embody these principles by emulating the behavior of word formation rules. These subsystems combine totally idiosyncratic lexical information, stored in a dictionary, with systematic information derived from word structure. Applications for lexical subsystems built along the lines described here will be discussed.