Systemic Text Generation as Problem Solving
£36.99
Part of Studies in Natural Language Processing
- Author: Terry Patten
- Date Published: August 2007
- availability: Available
- format: Paperback
- isbn: 9780521039260
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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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×Product details
- Date Published: August 2007
- format: Paperback
- isbn: 9780521039260
- length: 228 pages
- dimensions: 228 x 149 x 13 mm
- weight: 0.346kg
- availability: Available
Table of Contents
Preface
1. Introduction
2. Background I: AI problem solving
3. Background II: systemic grammar
4. The conflation
5. The formal model
6. The implementation
7. Related work in text generation
8. Conclusions
Appendix A: OPS5 tutorial
Appendix B: sample texts
Appendix C: excerpts from the grammar
Notes
Bibliography
Index.
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