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Bestseller
BestsellerE-book
Author Kertész, András.

Title Data and Evidence in Linguistics : a Plausible Argumentation Model.

Publication Info. Cambridge : Cambridge University Press, 2012.

Item Status

Description 1 online resource (314 pages)
text file
Contents Cover; Data and Evidence in Linguistics; Title; Copyright; Contents; List of figures and table; Preface; Abbreviations and central concepts; Symbols; 1: Introduction; Part I: The state of the art; 2: The problem (P)I; 3: Historical background; 3.1 Overview; 3.2 The problem of evidence in the philosophy of science; 3.3 Debates on empiricalness in theoretical linguistics and the standard view of linguistic data (SVLD); 3.4 Conclusions; 4: The partial rejection of (SVLD) in the practice of object-scientific research; 4.1 Overview; 4.2 New tendencies in object-scientific research; 4.3 Conclusions.
5: The partial rejection of (SVLD) in metascientific reflection5.1 Overview; 5.2 The diversity and the combinability of data; 5.3 The role of the sources in the reliability of data; 5.4 The complexity of linguistic data; 5.5 The treatment of the uncertainty of data; 5.6 The relationship between data and theory; 5.7 Data and the treatment of inconsistencies; 5.8 Linguistic evidence; 5.9 Conclusions; 6: The solution to (P)I; Part II: The p-model; 7: The problem (P)II; 8: Historical background; 8.1 Overview.
8.2 The liberalisation of the concepts of 'data' and 'evidence' in the philosophy of science8.3 Trends in logic and argumentation theory; 8.4 Conclusions; 9: Plausible inferences; 9.1 Overview; 9.2 The concept of 'inference' and 'deductive inference'; 9.3 The notion of 'plausible statement'; 9.4 The concept of 'demonstrative inference'; 9.5 The notion of 'plausible inference'; 9.5.1 Introductory remarks; 9.5.2 Case 1; 9.5.3 Case 2; 9.5.4 Case 3; 9.5.5 The connection between the plausibility of the premises and the conclusion; 9.5.6 Summary; 9.6 The fallibility of plausible inferences.
9.7 The dynamism of plausible inferences9.8 The p-context-dependence of plausible inferences; 9.9 The heuristic function of plausible inferences; 9.10 Conclusions; 10: Plausible argumentation; 10.1 Overview; 10.2 Informational under- and overdetermination, problems and their solution; 10.3 The notion of 'plausible argumentation'; 10.4 The cyclic nature of plausible argumentation; 10.5 The prismatic nature of plausible argumentation; 10.6 Problem-solving strategies; 10.7 The effectiveness of plausible argumentation; 10.8 Conclusions; 11: The solution to (P)II; Part III: Data and evidence.
12: The problem (P)III13: The concept of 'datum' and 'evidence'; 13.1 Overview; 13.2 The concept of 'datum'; 13.3 The concept of 'evidence'; 13.4 Conclusions; 14: The solution to (P)III; Part IV: Application of the p-model: a case study; 15: The problem (P)IV; 16: A case study: a reconstruction of Gentner & Wolff (1997); 16.1 Overview; 16.2 Argumentation cycle 1: three model types of metaphor processing; 16.2.1 Setting up the starting p-context; 16.2.2 The elaboration of the starting p-context; 16.3 Argumentation cycle 2: application of the Contrastive Strategy.
Note 16.3.1 Setting up the new p-context.
Summary The first book to comprehensively present the methodological problems associated with linguistic data and evidence.
Bibliography Includes bibliographical references and index.
Local Note eBooks on EBSCOhost EBSCO eBook Subscription Academic Collection - North America
Subject Linguistic analysis (Linguistics)
Linguistic analysis (Linguistics)
Linguistics -- Research -- Methodology.
Linguistics -- Research -- Methodology.
Linguistics -- Research.
Corpora (Linguistics)
Corpora (Linguistics)
Computational linguistics.
Computational linguistics.
Genre/Form Electronic books.
Added Author Rákosi, Csilla.
Other Form: Print version: Kertész, András. Data and Evidence in Linguistics : A Plausible Argumentation Model. Cambridge : Cambridge University Press, ©2012 9781107009240
ISBN 9781139232142
1139232142
9781139233682 (electronic book)
1139233688 (electronic book)
9780511920752 (electronic book)
051192075X (electronic book)
9781107009240
1107009243
9781139230698