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  • Systemic Text Generation as Problem Solving

    Systemic Text Generation as Problem Solving by Patten, Terry;

    Series: Studies in Natural Language Processing;

      • GET 20% OFF

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      • Publisher's listprice GBP 114.00
      • The price is estimated because at the time of ordering we do not know what conversion rates will apply to HUF / product currency when the book arrives. In case HUF is weaker, the price increases slightly, in case HUF is stronger, the price goes lower slightly.

        57 695 Ft (54 948 Ft + 5% VAT)
      • Discount 20% (cc. 11 539 Ft off)
      • Discounted price 46 156 Ft (43 958 Ft + 5% VAT)

    57 695 Ft

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    Availability

    Estimated delivery time: In stock at the publisher, but not at Prospero's office. Delivery time approx. 3-5 weeks.
    Not in stock at Prospero.

    Why don't you give exact delivery time?

    Delivery time is estimated on our previous experiences. We give estimations only, because we order from outside Hungary, and the delivery time mainly depends on how quickly the publisher supplies the book. Faster or slower deliveries both happen, but we do our best to supply as quickly as possible.

    Product details:

    • Publisher Cambridge University Press
    • Date of Publication 17 March 1988

    • ISBN 9780521350761
    • Binding Hardback
    • No. of pages228 pages
    • Size 229x152x17 mm
    • Weight 510 g
    • Language English
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    Categories

    Short description:

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

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    Long description:

    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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    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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