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Systemic Text Generation as Problem Solving

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Systemic Text Generation as Problem Solving Synopsis

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.

About This Edition

ISBN: 9780521039260
Publication date:
Author: Terry Patten
Publisher: Cambridge University Press
Format: Paperback
Pagination: 228 pages
Series: Studies in Natural Language Processing
Genres: Mathematical theory of computation

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