Systemic Text Generation as Problem Solving

  • Authors:
  • Terry Patten

  • Affiliations:
  • -

  • Venue:
  • Systemic Text Generation as Problem Solving
  • Year:
  • 1988

Quantified Score

Hi-index 0.00

Visualization

Abstract

From the Publisher:An exploration of a new approach to text generation that interprets systemic grammar as a computational representation. Patten demonstrates that systemic grammar can be easily and automatically translated into current AI-knowledge representations and efficiently processed by the same knowledge-based techniques currently exploited by expert systems. Thus, the fundamental methodological problem of interfacing specialized computational representations with equally specialized linguisticrepresentations can be resolved. The study provides a detailed discussion of the formal model proposed and of a substantial implementation including a relatively large systemic grammar. It represents a fundamental and productive contribution to the literature of text generation.