This study explores an approach to text generation that interprets systemic grammar as a computational representation.
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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.
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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Paperback. Condizione: new. Paperback. 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. 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. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Codice articolo 9780521039260
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