Systemic Text Generation as Problem Solving
Systemic Text Generation as Problem Solving
Looking for an examination copy?
This title is not currently available for examination. However, if you are interested in the title for your course we can consider offering an examination copy. To register your interest please contact collegesales@cambridge.org providing details of the course you are teaching.
An exploration of a new approach to text generation that interprets systemic grammar as a computational representation. 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 linguisticrepresentations can be resolved.
The study provides a detailed discussion of the formal model proposed and of a substantial implementation including a relatively large systemic grammar. It represents a fundamental and productive contribution to the literature of text generation.
Product details
March 1988Hardback
9780521350761
228 pages
229 × 152 × 17 mm
0.51kg
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.
