Systemic Text Generation as Problem Solving
Systemic Text Generation as Problem Solving
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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 2011Adobe eBook Reader
9780511873874
0 pages
0kg
This ISBN is for an eBook version which is distributed on our behalf by a third party.
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.
