Literary Detective Work On The Computer

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.

Ruslan Mitkov's highly successful Oxford Handbook of Computational Linguistics has been substantially revised and expanded in this second edition. Alongside updated accounts of the topics covered in the first edition, it includes 17 new chapters on subjects such as semantic role-labelling, text-to-speech synthesis, translation technology, opinion mining and sentiment analysis, and the application of Natural Language Processing in educational and biomedical contexts, among many others. The volume is divided into four parts that examine, respectively: the linguistic fundamentals of computational linguistics; the methods and resources used, such as statistical modelling, machine learning, and corpus annotation; key language processing tasks including text segmentation, anaphora resolution, and speech recognition; and the major applications of Natural Language Processing, from machine translation to author profiling. The book will be an essential reference for researchers and students in computational linguistics and Natural Language Processing, as well as those working in related industries.

This book in the Edinburgh Textbooks in Empirical Linguistics series is a comprehensive introduction to the statistics currently used in corpus linguistics. Statistical techniques and corpus applications - whether oriented towards linguistics or language engineering - often go hand in glove, and corpus linguists have used an increasingly wide variety of statistics, drawing on techniques developed in a great many fields. This is the first one-volume introduction to the subject.

The Literary Detective is an omnibus edition of John Sutherland's three best-selling collections of literary puzzles, Is Heathcliffe a Murderer?, Can Jane Eyre be Happy?, and Who Betrays Elizabeth Bennet? Investigating a variety of anomalies, enigmas, and conundrums such as 'Why does RobinsonCrusoe find only one footprint?' and 'Where does Fanny Hill keep her contraceptives?', Professor Sutherland explores the questions readers often ask and critics rarely discuss. His forensic skills focus on authors from Defoe and Fielding to Wells and Woolf, relishing in particular thenineteenth-century novelists, Austen, Collins, Dickens, and the Brontes.By addressing 'real world' questions John Sutherland has brought lit. crit. Down from the rarefied heights of academe and into the everyday discourse of ordinary readers, who bring their own expertise to bear on these novels. In his introduction he quotes from some of the many letters he hasreceived, which demonstrate that we can all be astute and entertaining critics. The 'Sherlock Holmes of Literature', as he has been called, John Sutherland reminds us of the sheer pleasure and excitement that good books inspire, and of their endless ability to surprise and delight us.

This volume shows the pervasiveness over a millennium and a half of the little-studied phenomenon of multi-tier intertextuality, whether as ‘linear’ window reference – where author C simultaneously imitates or alludes to a text by author A and its imitation by author B – or as multi-directional imitative clusters. It begins with essays on classical literature from Homer to the high Roman empire, where the feature first becomes prominent; then comes late antiquity, a lively area of research at present; and, after a series of essays on European neo-Latin literature from Petrarch to 1600, another area where developments are moving rapidly, the volume concludes with early modern vernacular literatures (Italian, French, Portuguese and English). Most papers concern verse, but prose is not ignored. The introduction to the volume discusses the relevant methodological issues. An Afterword outlines the critical history of ‘window reference’ and includes a short essay by Professor Richard Thomas, of Harvard University, who coined the term in the 1980s.

It may seem obvious -- but it is not! How to read a book, a novel? How to increase your joy at reading an old or a new work? How to inject new vitality into an old and, perhaps, boring activity? Is there a method or a technique in reading a novel which can illuminate the meanings behind the story? This book answers these questions in a bold, imaginative and accessible manner! Reading is similar to a treasure hunt. You set out, you collect clues and you hope to discover a treasure, or solve a mystery. How does it work? Great detectives start out with an open mind, unaware of what lies ahead of them. They investigate, they examine the evidence, they collect the clues, they ask questions, they think things through, until they solve the mystery. Glen Hammond argues that anybody -- a casual reader, a student, or a teacher -- can learn the techniques of this new kind of literary detection. In eighteen chapters -- Sleuthing, The Creative Relationship, Tools of the Trade, Villains, Method, Title, Repetition, Characterisation, Setting, Associative Pairing, Page Space, Case Closed, Expert Witnesses -- Glenn Hammond introduces you to the excitement of reading and the treasures to be found in literary work.

A unique introduction, guide and reference work for students and readers of Scottish literature from the pre-medieval period.