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OverviewFull Product DetailsAuthor: Nigel WardPublisher: Intellect Imprint: Intellect Books Dimensions: Width: 15.40cm , Height: 1.70cm , Length: 22.80cm Weight: 0.428kg ISBN: 9781567500387ISBN 10: 1567500382 Pages: 200 Publication Date: 01 May 1994 Audience: College/higher education , Professional and scholarly , Undergraduate , Postgraduate, Research & Scholarly Format: Paperback Publisher's Status: Active Availability: Out of stock The supplier is temporarily out of stock of this item. It will be ordered for you on backorder and shipped when it becomes available. Table of ContentsPreface Introduction 1 Motivations for this Work 2 Preview of the Model 3 Overview of the Book 2 Design Issues 1 Characteristics of the Generation Task 2 Why Previous Research has Missed the Point 3 Design Principles 4 The Principles in FIG 5 On Decisions, Algorithms, and Modules 3 Le,dcal Knowledge and Word Choice 1 Meanings of Words 2 Inference 3 Syntactic Properties of Words 4 Other Properties of Words 5 Word Choice at Run-Time 6 Summary 4 Syntactic Knowledge and Its Use 1 Motivation 2 Basics of Syntax 3 Two Details 4 An Example 5 Synergy and Competition 6 Issues and Non-issues 7 What Remains to be Done? 8 History of Syntax in FIG 9 Summary 5 Representing and Using Relational Information 1 The Problems with Case Grammars 2 Proposal 3 Participatory Profiles in FIG 4 Implications for Parsing 5 Open Issues 6 Summary 6 FIG's Grammars 1 Some Details of Syntax in FIG 2 English 3 Japanese 7 Details of FIG 1 Building the Network 2 The Input 3 Activation Flow 4 Special Processes 5 Getting the Correct Overall Behavior 6 Summary of Node and Link Types 7 Size and Speed 8 Miscellany Regarding Connectionism 1 Strengths and Weaknesses of Connectionism 2 Why Structured Connectionism? 3 Artificial Intelligence as an Experimental Science 4 Past Connectionist Generation Research 9 Human Language Production 1 Introspection 2 Pauses 3 Priming Effects 4 Errors 5 Traditional Cognitive Models 6 FIG as a Cognitive Model 10 A Model for Natural Translation 1 The Need for Natural Translation 2 Strategies for Machine Translation Research 3 Present Technologies for Machine Translation 4 Proposal 5 Design Implications 6 Philosophical and Software Engineering Issues 7 Prospects 11 In Conclusion 1 How FIG Measures Up 2 Directions for Future Work 3 What Has Been Learned Appendix References Author Index Subject IndexReviewsAuthor InformationAfter completing a degree in English at Oxford University, Nigel Ward trained as a theatre director, working professionally in fringe theatre as well as spending a year as an assistant director at the Royal Shakespeare Company. He has taught drama in both the university sector and in conservatoire settings. He was the Course Leader for the M.A. Performance Studies at Central School of Speech and Drama and is currently a Senior Lecturer at Anglia Ruskin University in Cambridge where he lectures in Drama and is Course Leader for Performing Arts. Tab Content 6Author Website:Countries AvailableAll regions |