Defining Natural Language in GPSG (Generalized Phrase Structure Grammar's),

Abstract

This paper is a formal analysis of whether generalized phrase structure grammar's (GPSG) weak context-free generative power will allow it to achieve three of its central goals: (1) to characterize all and only the natural language grammars, (2) to algorithmically determine membership and generative power consequences of GPSGs, and (3) to embody the universalism of natural language entirely in the formal system. I prove that =Sigma*?' is undecidable for GPSGs and, on the basis of this result and the unnaturalness of sigma*, I argue that GPSG's three goals and its weak context-free generative power conflict with each other: there is no algorithmic way of knowing whether any given GPSG generates a natural language or an unnatural one. The paper concludes with a diagnosis of the result and suggests that the problem might be met by abandoning the weak context-free framework and assuming substantive constraints.

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Document Details

Document Type
Technical Report
Publication Date
Apr 01, 1986
Accession Number
ADA174531

Entities

People

  • Eric S. Ristad

Organizations

  • Massachusetts Institute of Technology

Tags

DTIC Thesaurus Topics

  • Artificial Intelligence
  • Automata
  • Classification
  • Computational Complexity
  • Computations
  • Context Free Grammars
  • Formal Languages
  • Grammars
  • Language
  • Linguistics
  • Machines
  • Massachusetts
  • Military Research
  • Natural Languages
  • Numbers
  • Phrase Structure Grammars
  • Standards

Readers

  • Computational Linguistics
  • Mathematical Modeling and Probability Theory.
  • Strategic Security Studies