Systemic Text Generation as Problem Solving

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Paperback | 14 August 2007

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228 Pages

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22.86 x 15.24 x 1.32

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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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You Can Find This Book In

Non-Fiction Computing & I.T.Graphical & Digital Media Applications Computer Science Mathematical Theory of Computation Artificial Intelligence Natural Language & Machine Translation Computer Programming & Software Development Programming & Scripting Languages

Preface
Introduction
Background I: AI problem solving
Background II: systemic grammar
The conflation
The formal model
The implementation
Related work in text generation
Conclusions
OPS5 tutorial
Sample texts
Excerpts from the grammar
Notes
Bibliography
Index
Table of Contents provided by Publisher. All Rights Reserved.

Systemic Text Generation as Problem Solving

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Paperback

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