A formal lexicon in the Meaning-Text Theory: (or how to do lexica with words)

  • Authors:

  • Igor A. Mel'čuk;Alain Polguère

  • Affiliations:

  • Université de Montréal, Montréal, Canada;Odyssey Research Associates, Montréal, Canada

  • Venue:
  • Computational Linguistics - Special issue of the lexicon
  • Year:
  • 1987

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Abstract

The goal of this paper is to present a particular type of lexicon, elaborated within a formal theory of natural language called Meaning-Text Theory (MTT). This theory puts strong emphasis on the development of highly structured lexica. Computational linguistics does of course recognize the importance of the lexicon in language processing. However, MTT probably goes further in this direction than various well-known approaches within computational linguistics; it assigns to the lexicon a central place, so that the rest of linguistic description is supposed to pivot around the lexicon. It is in this spirit that MTT views the model of natural language: the Meaning-Text Model, or MTM. It is believed that a very rich lexicon presenting individual information about lexemes in a consistent and detailed way facilitates the general task of computational linguistics by dividing it into two more or less autonomous subtasks: a linguistic and a computational one. The MTM lexicon, embodying a vast amount of linguistic information, can be used in different computational applications.We will present here a short outline of the lexicon in question as well as of its interaction with other components of the MTM, with special attention to computational implications of the Meaning-Text Theory.