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Bibliografická citace

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Amsterdam ; Philadelphia : John Benjamins Publishing Company, [2020]
xiii, 263 stran : ilustrace (některé barevné) ; 24 cm

objednat
ISBN 978-90-272-0468-4 (brožováno)
Terminology and lexicography research and practice (TLPR), ISSN 1388-8455 ; Volume 20
Obsahuje bibliografie, bibliografické odkazy a rejstřík
"Lexical semantics for terminology: an introduction" explores the interconnections between lexical semantics and terminology. More specifically, it shows how principles borrowed from lexico-semantic frameworks and methodologies derived from them can help understand terms and describe them in resources. It also explains how lexical analysis complements perspectives primarily focused on knowledge. Topics such as term identification, meaning, polysemy, relations between terms, and equivalence are discussed thoroughly and illustrated with examples taken from various fields of knowledge.
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Table of contents // List of Figures xi // List of Tables xv // List of abbreviations xvii // Typographical conventions xix // Acknowledgments xxi // CHAPTER 1 // Why apply lexical semantics in terminology? i // CHAPTER 2 // Terminology 5 // 2.1 The knowledge paradigm 7 // 2.2 Storing and accessing concepts and terms 11 // 2.3 The knowledge paradigm from a linguistic point of view 15 Summary 17 // Further reading 18 // chapter 3 // Lexical semantics for terminology 19 // 3.1 A basic illustrative example 19 // 3.1.1 Meaning versus concept 23 // 3.1.2 Dealing with lexical units that belong to different parts of speech 28 // 3.1.3 Making (fine-grained) semantic distinctions 29 // 3.1.4 Taking into consideration relations between terms 31 // 3.1.5 Considering the combinatorics of terms 32 // 3.1.6 Considering the syntactic behavior of terms 32 // 3.2 Corpus and terminology 33 // 3.3 Some relevant frameworks for terminology 39 // 3.3.1 Explanatory Combinatorial Lexicology 39 // 3.3.2 Frame Semantics 43 // 3.4 Questions that lexical semantics cannot answer 50 Summary 51 // Further reading 52 // vin Lexical Semantics for Terminology // CHAPTER 4 // What is a term? // 4.1 Identification of terms 55 // 4.1.1 Relationship with a subject field 57 // 4.1.2 The importance of the application 59 // 4.1.3 Can proper nouns be terms? 60 // 4.1.4 Different parts of speech 61 // 4.1.5 Single-word items versus multiword expressions 63 // 4.1.6 Different names for the same thing 65 // 4.2 Different
approaches to the ‘term5 66 // 4.3 Terms as lexical units 67 // 4.4 Criteria for selecting terms 72 // 4.5 Applying term identification criteria to a specific domain 75 Summary 77 // Further reading 78 // chapter 5 // Concepts, meaning and polysemy // 5.1 Knowledge-based approaches to linguistic content 79 // 5.1.1 Dealing with multiple concepts 80 // 5.1.2 Accounting for concepts in terminological resources 81 // 5.1.3 Explaining concepts 83 // 5.1.4 An alternative view on concepts 85 // 5.1.5 Multidimensionality 88 // 5.1.6 Other factors affecting the way concepts are delimited or defined 90 // 5.2 Lexicon-based approaches to linguistic content 91 // 5.2.1 Terms in the lexicon of a language 92 // 5.2.2 Criteria for semantic distinctions 94 // 5.2.3 Polysemy versus ambiguity 101 // 5.2.4 Dealing with multiple meanings 103 // 5.2.5 Meaning modulations no // 5.2.6 Handling complicated cases: absorb and absorption 114 Summary 118 // Further reading 119 // chapter 6 // Predicative terms, participants and arguments // 6.1 Predicative terms and other kinds of terms 121 // 6.2 Defining the argument structure of a predicative term 124 // 6.3 Quasi-predicative terms 128 // 6.4 Argument structures in specialized versus general language 130 // Table of contents ix // 6.5 Representing predicative and quasi-predicative terms 130 // 6.6 Argument structure and semantically related terms 137 // 6.7 Argument structure and syntax 141 Summary 142 // Further reading 143 // chapter 7 // Relations
between concepts and terms 145 // 7.1 Conceptual relations and conceptual structures: // A matter of classification 146 // 7.1.1 The backbone of a conceptual structure: The taxonomy 146 // 7.1.2 Partitive relations 148 // 7.1.3 Conceptual synonymy 151 // 7.1.4 Opposition as a conceptual relation 153 // 7.1.5 Other conceptual relations 154 // 7.2 Terminological relations 155 // 7.2.1 Paradigmatic versus syntagmatic relations 157 // 7.2.2 Paradigmatic relations 157 // 7.2.2.1 Hypernymy and hyponymy 158 // 7.2.2.2 Synonymy 161 // 7.2.2.3 Antonymy and other opposites 163 // 7.2.24 Paradigmatic relations across different parts of speech 169 // 7.2.3 Syntagmatic relations 174 Summary 175 // Further reading 176 // chapter 8 // Discovering structures in specialized domains 177 // 8.1 Structures based on conceptual relations 177 // 8.1.1 Accounting for and representing conceptual relations 178 // 8.1.2 Handling relations in conceptual structures 181 // 8.1.3 Linking conceptual structures and definitions 185 // 8.2 Structures based on terminological relations 186 // 8.2.1 Lexical functions to reveal terminological structures 187 // 8.2.1.1 The workings of lexical functions 187 // 8.2.1.2 Lexical functions for terminology 196 // 8.2.1.3 Exploring terminological relations with “softer” versions of lexical functions 202 // 8.2.14 Further classifying relations 204 // 8.2.1.5 Definitions based on terminological structures 209 // 8.2.1.6 Translations of collocations 211 // 8.2.2 Semantic
frames to discover different kinds of structures 214 // x Lexical Semantics for Terminology // 8.2.2.1 Obtaining a better view of related situations with frames 219 // 8.2.2.2 Highlighting differences between specialized and general knowledge 221 // 8.2.2.3 Capturing meaning modulations and different conceptualizations within the same domain 223 // Summary 226 Further reading 227 // chapter 9 // Equivalence in terminology 229 // 9.1 Conceptual equivalence 230 // 9.2 Terminological equivalence 231 // 9.3 Problems when establishing equivalence 234 // 9.3.1 Non-equivalence 235 // 9.3.2 Partial equivalence 236 // 9.3.3 Structural divergences 237 // 9.4 Equivalence in running text 238 // Summary 240 // Further reading 240 // References 24? // Corpus examples references 255 // Index 261

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