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  3. Systemic Text Generation as Problem Solving
  • Cited by 31
Publisher:
Cambridge University Press
Online publication date:
March 2010
Print publication year:
1988
Online ISBN:
9780511665646
DOI:
https://doi.org/10.1017/CBO9780511665646
Series:
Studies in Natural Language Processing
Subjects:
Computational Linguistics, Computer Science, Artificial Intelligence and Natural Language Processing
Information

Book description

This study explores an approach to text generation that interprets systemic grammar as a computational representation. Terry 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 linguistic representations can be resolved. The study provides a detailed discussion of a substantial implementation involving a relatively large systemic grammar, and a formal model of the method. It represents a fundamental and productive contribution to the literature on text generation.

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