Systemic Text Generation as Problem Solving

This study explores an approach to text generation that interprets systemic grammar as a computational representation.

Terry Patten (Author)

9780521350761, Cambridge University Press

Hardback, published 17 March 1988

228 pages
22.9 x 15.2 x 1.7 cm, 0.51 kg

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.

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.

Subject Areas: Mathematical theory of computation [UYA]