Literary Detective Work on the Computer

| University of Wolverhampton
ISBN 9789027249999 | EUR 99.00 | USD 149.00
ISBN 9789027270139 | EUR 99.00 | USD 149.00
Computational linguistics can be used to uncover mysteries in text which are not always obvious to visual inspection. For example, the computer analysis of writing style can show who might be the true author of a text in cases of disputed authorship or suspected plagiarism. The theoretical background to authorship attribution is presented in a step by step manner, and comprehensive reviews of the field are given in two specialist areas, the writings of William Shakespeare and his contemporaries, and the various writing styles seen in religious texts. The final chapter looks at the progress computers have made in the decipherment of lost languages. This book is written for students and researchers of general linguistics, computational and corpus linguistics, and computer forensics. It will inspire future researchers to study these topics for themselves, and gives sufficient details of the methods and resources to get them started.
[Natural Language Processing, 12]  2014.  x, 283 pp.
Publishing status: Available
Table of Contents
Chapter 1. Author identification
Chapter 2. Plagiarism and spam filtering
Chapter 3. Computer studies of Shakespearean authorship
Chapter 4. Stylometric analysis of religious texts
Chapter 5. Computers and decipherment
“Interesting, packed and wide-ranging.”
“This book will prove a valuable resource for anyone wishing to gain a working knowledge of the methods and achievements of computational stylometry. It covers a wide range of studies in the field, explaining the main results and the techniques used to find them in an accessible manner. A strong point is that it includes a number of worked examples showing, with the aid of small-scale data sets, how some of the more important quantitative methods can be implemented. A further strength is its use of the public-domain system R to illustrate how certain important ideas could be put into practice.

Both newcomers and experienced bardographers will find much of interest in Chapter 3, which gives a dispassionate, empirically grounded overview of a number of key studies of the authorship of the Shakespearean canon. It also includes a clear step-by-step exposition of how Bayes's Rule may be used in investigations of this kind. Chapter 5, on decipherment, contains fascinating accounts of the attempts to decipher the Rongorongo glyphs of Rapanui (Easter Island) and the ancient seals of the lost Indus Valley civilization, among others -- introducing the basic notions of Information Theory and Markov modelling as it does so.”
“In my view this is an excellent and much-missed overview of, and introduction to, the use of statistical tests, methods and approaches to language decipherment and recognition. The in-depth discussions of the methods employed in the so-far unsuccessful decipherment of Rongorongo and the Indus Valley texts is an especially engaging read.”
“The chapter, illustrated with several examples of problems in New Testament Studies, will provide a good introduction and overview of the subject area, targeted at computer scientists who are specialists neither in statistics nor in biblical studies. The emphasis on the methods of multivariate statistical analysis, such as correspondence analysis, is a welcome feature.”
“Very comprehensive and easy to read.”
“This book is a valuable repository of techniques, methods, tasks, cases, and background relevant to

computational stylometry. I admire the way in which Oakes’ interpretation of his own research and that of others supports deeper understanding of the tasks tackled.”
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2015. Subjective definitions of spirituality and religion. International Journal of Corpus Linguistics 20:4  pp. 526 ff. Crossref logo
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2016. Ngrams and Engrams: the use of structural and conceptual features to discriminate between English translations of religious texts. Corpora 11:3  pp. 299 ff. Crossref logo
Grieve, Jack, Isobelle Clarke, Emily Chiang, Hannah Gideon, Annina Heini, Andrea Nini & Emily Waibel
2019. Attributing the Bixby Letter using n-gram tracing. Digital Scholarship in the Humanities 34:3  pp. 493 ff. Crossref logo
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Mealand, David L.
2016. The Seams and Summaries of Luke and of Acts. Journal for the Study of the New Testament 38:4  pp. 482 ff. Crossref logo
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2019.  In Computational and Corpus-Based Phraseology [Lecture Notes in Computer Science, 11755],  pp. 315 ff. Crossref logo
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2018. An authorship analysis of the Jack the Ripper letters. Digital Scholarship in the Humanities 33:3  pp. 621 ff. Crossref logo
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2020.  In Corpora and the Changing Society [Studies in Corpus Linguistics, 96],  pp. 29 ff. Crossref logo
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Subjects & Metadata
BIC Subject: CFX – Computational linguistics
BISAC Subject: LAN009000 – LANGUAGE ARTS & DISCIPLINES / Linguistics / General
ONIX Metadata
ONIX 2.1
ONIX 3.0
U.S. Library of Congress Control Number:  2014007366 | Marc record