| Description |
1 online resource (x, 432 pages) : illustrations |
| Series |
Current research in the semantics/pragmatics interface ; v. 27 |
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Current research in the semantics/pragmatics interface ; v. 27.
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| Contents |
Tables and Figures; Part One Data and Theories, An Overview; Chapter One Introduction; 1.1 Basic Notions and Goals; 1.2 Chapter 2: Vagueness, Gradability and Typicality: Two Sets of Facts; 1.3 Chapter 3: The Linguistic Perspective on Vagueness, Gradability and Typicality; 1.4 Chapter 4: The Psychological Perspective on Vagueness, Gradability and Typicality; 1.5 Part 2: The New Proposal; 1.5.1 Chapters 5-6: Partial Information about Graded Structures; 1.5.2 Chapter 7: A Typology of Predicates by the Type of Their Degree Function |
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1.5.3 Chapter 8: The Connections between Vagueness and Gradability1.5.4 Chapter 9: Polarity Effects; 1.5.5 Chapter 10: Conclusions and Beyond; Chapter Two The Linguistic and Psychological Perspectives; 2.1 The Linguistic Data; 2.1.1 Vagueness; 2.1.2 Gradability; 2.1.3 Positive versus Negative Predicates: Polarity Effects; 2.2 The Psychological Data; 2.2.1 Vagueness in Nouns; 2.2.2 Entity Orderings in Nouns; 2.2.3 Dimensions in Nouns; 2.2.4 Typicality and Denotation Membership; 2.2.5 Typicality and Learning; 2.2.6 The Productive Nature of Typicality Effects |
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2.3 Intermediate Conclusions and One Last Piece of DataChapter Three Overview of Linguistic Theories; 3.1 The Representation of Vagueness; 3.2 The Analysis of Gradability; 3.2.1 The Connection between Vagueness and Gradability; 3.2.2 The Nature of the Degrees: The Ordinal Scale versus Interval Scale Controversy; 3.2.3 Polarity; 3.3 Typicality in Linguistic Theories; 3.3.1 Background: Multi-Valued Semantics; 3.3.2 Supermodel Theory: Kamp and Partee (1995); 3.3.3 Problems with Supermodel Theory; Chapter Four An Overview of Psychological Theories; 4.1 Prototype Theory |
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4.1.1 Dimension Sets, Mean Distance and Similarity4.1.2 Standard-Based Categorization; 4.1.3 Contrast-Based Categorization; 4.1.4 The Main Problem of Prototype Models: Linear Separability; 4.2 Exemplar Theory; 4.2.1 Exemplar-Based Similarity; 4.2.2 The Results of Exemplar Extension; 4.2.3 The Disadvantage of Eliminating Summary Representations; 4.2.4 Are Exemplar-Based and Prototype-Based Predictions Inconsistent?; 4.3 Objections to Truth Conditional Theories; 4.3.1 The Conjunction and Sub-Type Effects and Failures of Intersection Inferences; 4.3.2 A Composite-Prototype Representation |
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4.3.3 Constituent-Based Predictions4.4 The Representation of Information about Prototypes; 4.4.1 The Probabilistic Criterion; 4.4.2 The Knowledge Criterion; 4.5 Apparent Dissociations between Judgments of Typicality and Membership Likelihood; 4.6 Conclusions; Part Two A Comprehensive Semantic Analysis; Chapter Five Information Structure with Degrees and Dimensions; 5.1 Modeling Partial Information about Degrees and Dimensions; 5.2 The Inhabitants of Vagueness Models: Representing Vagueness and Ignorance; 5.3 Numerical Degree Functions |
| Summary |
This text presents research into the manifestations of vagueness and gradability in nouns vs. adjectives, from both a psychological and a formal semantic perspective. Psychological notions are incorporated into truth conditional semantics. The result is a comprehensive unified approach |
| Bibliography |
Includes bibliographical references and index |
| Notes |
Print version record |
| Subject |
Pragmatics.
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Semantics.
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Vagueness (Philosophy)
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Grammar, Comparative and general -- Noun.
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Grammar, Comparative and general -- Adjective.
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Language and languages -- Philosophy.
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Semantics
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pragmatics.
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semantics.
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LANGUAGE ARTS & DISCIPLINES -- Grammar & Punctuation.
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LANGUAGE ARTS & DISCIPLINES -- Linguistics -- Syntax.
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Grammar, Comparative and general -- Adjective
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Grammar, Comparative and general -- Noun
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Language and languages -- Philosophy
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Pragmatics
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Semantics
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Vagueness (Philosophy)
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Adjektiv
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Gradation
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Semantik
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Substantiv
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Vagheit
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Semantische functies.
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Cognitieve psychologie.
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| Form |
Electronic book
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| ISBN |
9004248587 |
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9789004248588 |
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9781781902646 |
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178190264X |
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