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Creating and Digitizing Language Corpora

Volume 3: Databases for Public Engagement

Palgrave Macmillan

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Table of contents (12 chapters)

  1. Front Matter

    Pages i-xxvii
  2. Back Matter

    Pages 347-359

About this book

This book unites a range of approaches to the collection and digitization of diverse language corpora. Its specific focus is on best practices identified in the exploitation of these resources in landmark impact initiatives across different parts of the globe. The development of increasingly accessible digital corpora has coincided with improvements in the standards governing the collection, encoding and archiving of ‘Big Data’. Less attention has been paid to the importance of developing standards for enriching and preserving other types of corpus data, such as that which captures the nuances of regional dialects, for example. This book takes these best practices another step forward by addressing innovative methods for enhancing and exploiting specialized corpora so that they become accessible to wider audiences beyond the academy.

Reviews

“This collection is a rich treasure trove brimming with new ideas aimed at facilitating and promoting public engagement with linguistic corpora. By extending the utility of such corpora beyond academe, its wide-ranging contents will be of interest to a broad audience, including linguists, teachers, archivists and historians.” (Stephen Levey, Associate Professor, University of Ottawa, USA)

“This book is unique in reporting what data collections mean to the speech communities that have cooperated in their creation and how corpus research supports important applications, including public relations, education, forensics and speech coaching.” (John Nerbonne, Professor of Humanities Computing, University of Groningen, the Netherlands)

“At last! A volume on linguistic corpora that successfully mediates our theoretical research interests and our obligation to contribute to schools, courts, museums, workplaces and other institutions in which language lives.” (John R. Rickford, J. E. Wallace Sterling Professor of Linguistics and the Humanities, Stanford University, USA) 

Editors and Affiliations

  • School of English Literature, Language & Linguistics, Newcastle University, Newcastle Upon Tyne, United Kingdom

    Karen P. Corrigan, Adam Mearns

About the editors

Karen P. Corrigan is Professor of Linguistics and English Language at Newcastle University. She has previously lectured at University College, Dublin and the Universities of Edinburgh and York (UK). She co-edited the two previous volumes in this collection and is author of Irish English, Volume 1: Northern Ireland (2010).


Adam Mearns is Lecturer in the History of the English Language at Newcastle University. He has previously taught at the Universities of Sheffield and Leeds and at Northumbria University. Recent publications have focused on the dialect of Tyneside and the concept of the supernatural in Old English.

Bibliographic Information

  • Book Title: Creating and Digitizing Language Corpora

  • Book Subtitle: Volume 3: Databases for Public Engagement

  • Editors: Karen P. Corrigan, Adam Mearns

  • DOI: https://doi.org/10.1057/978-1-137-38645-8

  • Publisher: Palgrave Macmillan London

  • eBook Packages: Social Sciences, Social Sciences (R0)

  • Copyright Information: The Editor(s) (if applicable) and The Author(s) 2016

  • Hardcover ISBN: 978-1-137-38644-1Published: 27 September 2016

  • eBook ISBN: 978-1-137-38645-8Published: 19 September 2016

  • Edition Number: 1

  • Number of Pages: XXVII, 359

  • Number of Illustrations: 43 b/w illustrations, 9 illustrations in colour

  • Topics: Sociolinguistics

Buy it now

Buying options

eBook USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Hardcover Book USD 54.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access