A theory of linguistic individuality for authorship analysis / Andrea Nini
Material type: TextSeries: Publisher: Cambridge : Cambridge University Press, 2023Description: 1 online resource (96 pages) : illustrations (black and white)ISBN: 9781108974851; 9781108971386Subject(s): Authorship | Natural language processing (Computer science)DDC classification: P302 .87 .N55 2023 Online resources: Click here to access online | Click here to access online Summary: 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.Item type | Current library | Call number | Status | Date due | Barcode |
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Books | Gabriel Afolabi Ojo Central Library (Headquarters). | P302 .87 .N55 2023 (Browse shelf(Opens below)) | Available | 0194724 | |
Books | Gabriel Afolabi Ojo Central Library (Headquarters). | P302 .87 .N55 2023 (Browse shelf(Opens below)) | Available | 0194723 |
References.
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.
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