UID:
almafu_9961091697702883
Umfang:
1 online resource (96 pages) :
,
illustrations (black and white), digital, PDF file(s).
Ausgabe:
First edition.
ISBN:
9781108982177
,
1108982174
,
9781108985796
,
1108985793
,
9781108974851
,
1108974856
Serie:
Cambridge elements. Elements in forensic linguistics,
Inhalt:
Authorship analysis is the process of determining who produced a questioned text by language analysis. Although there has been significant success in the performance of computational methods to solve this problem in recent years, these are often methods that are not amenable to interpretation. Authorship analysis is in all effects an area of computer science with very little linguistics or cognitive science. This Element introduces a Theory of Linguistic Individuality that, starting from basic notions of cognitive linguistics, establishes a formal framework for the mathematical modelling of language processing that is then applied to three computational experiments, including using the likelihood ratio framework. The results propose new avenues of research and a change of perspective in the way authorship analysis is currently carried out..
Anmerkung:
Also issued in print: 2023.
,
Cover -- Title page -- Copyright page -- A Theory of Linguistic Individuality for Authorship Analysis -- Contents -- Series Preface -- 1 Introduction -- 1.1 Authorship Analysis -- 1.2 Burrow's Delta -- 1.2.1 The Key Profiles Hypothesis -- 1.2.2 Explaining Authorship Analysis -- 1.3 Fundamentals of Cognitive Linguistics -- 1.3.1 Lexis and Grammar Are Inseparable -- 1.3.2 Language Is Processed in Chunks -- 1.3.3 Units Are Formed and Strengthened through Entrenchment and Conventionalisation -- 1.3.4 Grammar Is a Network -- 1.4 Idiolect and Linguistic Individuality -- 2 Formal Grounding for a Theory of Linguistic Individuality -- 2.1 Introduction -- 2.2 Basic Definitions -- 2.2.1 Linguistic Units -- 2.2.2 Grammar -- 2.2.3 Idiolect -- 2.2.4 Language and Variety -- 2.2.5 Text -- 2.3 The Principle of Linguistic Individuality -- 2.3.1 The Linguistic Fingerprint -- 2.4 The Statistical Approximation Hypothesis -- 3 Applying the Theory to Authorship Analysis -- 3.1 Grammar Induction -- 3.2 Measures of Similarity -- 3.3 A Reinterpretation of the N-gram Tracing Method -- 3.4 Experiment 1: The refcor Corpus -- 3.4.1 Individuality in n-grams -- 3.4.2 Maximising Known Sample Length -- 3.5 Experiment 2: The c50 Corpus -- 3.5.1 Previous Studies Using the c50 Corpus -- 3.5.2 Methodology -- 3.5.3 Results -- 3.6 Experiment 3: The Likelihood Ratio Framework -- 3.6.1 Calibration of Likelihood Ratios from Binary Coefficients -- 3.6.2 Experiment 3.1: c50 Background Data -- 3.6.3 Experiment 3.2: refcor Background Data -- 3.6.4 Conclusions -- 4 Discussion -- 4.1 The Cognitive Reality of n-grams and the Individuality Equilibrium -- 4.2 Evidence for the Statistical Approximation Hypothesis -- 4.3 Capturing an Individual Grammar in Full -- 4.4 The Evaluation of Similarity -- 4.5 An Individual's Grammar As a Behavioural Biometric -- 4.6 What About Style?.
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4.7 A New Perspective on Authorship Analysis -- 5 Moving Forward -- 5.1 A Research Agenda for Future Work -- 5.2 Final Conclusions -- 5.3 Supplementary Material: Data and Code -- References -- Acknowledgments.
Weitere Ausg.:
ISBN 9781108971386
Weitere Ausg.:
ISBN 1108971385
Sprache:
Englisch
DOI:
10.1017/9781108974851
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