Parametrized abstract objects for linguistic information processing

  • Authors:
  • Helene Bestougeff;Gerard Ligozat

  • Affiliations:
  • CNRS-Universite Paris, Paris, France;CNRS-Universite Paris, Paris, France

  • Venue:
  • EACL '85 Proceedings of the second conference on European chapter of the Association for Computational Linguistics
  • Year:
  • 1985

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Abstract

Programming languages which have adequate primitives for linguistic information processing and a clear semantics at the formal computational level are now slowly emerging as a convergent effort from computer science, linguistics, and artificial intelligence. Our work on the processing of a special kind of linguistic information, namely temporal information, has led us to advocate the use of a language with the following characteristic features:- high level of abstraction;- capacity for inference;- modularity.A high level of abstraction is needed to deal with complex linguistic notions which are not easily reducible to elementary data structures.A capacity for inference is required, as most criteria or tests in linguistics make use of particular kinds of deductions, at different levels of the linguistic analysis.As for modularity, a typical situation in linguistics has to do with a hierarchy of concepts or units, and the relations between those units at different levels.This paper discusses the relevance of the choice of parametrized abstract objects as tools for linguistic information processing and exemplifies the use of such objects for temporal information.