Theory of Linguistic Individuality for Authorship Analysis

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. This title is also available as Open Access on Cambridge Core.

Inhaltsverzeichnis

Series Preface; 1. Introduction; 2. Formal Grounding for a Theory of Linguistic Individuality; 3. Applying the Theory to Authorship Analysis; 4. Discussion; 5. Moving Forward; References.

Zusammenfassung

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. This title is also available as Open Access on Cambridge Core.

Vorwort

Introduces a formal theory of linguistic individuality, a perspective-changing framework moving the field towards more cognitively realistic methods of authorship analysis.

Produktdetails

• Autoren: Andrea Nini, Andrea (University of Manchester) Nini
• Verlag: Cambridge University Press ELT
• Sprache: Englisch
• Produktform: Taschenbuch
• Erschienen: 31.05.2023
• EAN: 9781108971386
• ISBN: 978-1-108-97138-6
• Seiten: 75
• Serie: Elements in Forensic Linguistics
• Themen: Geisteswissenschaften, Kunst, Musik > Sprach- und Literaturwissenschaft > Allgemeine und Vergleichende Sprachwissenschaft; LAW / Forensic Science, SOCIAL SCIENCE / Criminology, COMPUTERS / Computer Science, computer science, Forensic Science, Psycholinguistics, Computational Linguistics, Psycholinguistics and cognitive linguistics, Computational and corpus linguistics, COMPUTERS / Forensics