Beowulf Unlocked New Evidence from Lexomic Analysis
The most original and ground-breaking work on Beowulf in several decades, this book uses “lexomic” methods that blend computer-assisted statistical analysis with traditional approaches to reveal new and surprising information about the construction and so
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Michael D.C. Drout, Yvette Kisor, Leah Smith, Allison Dennett and Natasha Piirainen
Beowulf Unlocked
Michael D.C. Drout • Yvette Kisor • Leah Smith • Allison Dennett • Natasha Piirainen
Beowulf Unlocked New Evidence from Lexomic Analysis
Michael D.C. Drout Wheaton College Dedham, Massachusetts, USA
Yvette Kisor Ramapo College of New Jersey Mahwah, New Jersey, USA
Leah Smith Artist and Independent Scholar Providence, Rhode Island, USA
Allison Dennett Independent Scholar Portsmouth, New Hampshire, USA
Natasha Piirainen Independent Scholar Mechanic Falls, Maine, USA
ISBN 978-3-319-30627-8 ISBN 978-3-319-30628-5 DOI 10.1007/978-3-319-30628-5
(eBook)
Library of Congress Control Number: 2016943528 © The Editor(s) (if applicable) and The Author(s) 2016 This work is subject to copyright. All rights are solely and exclusively licensed by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed. The use of general descriptive names, registered names, trademarks, service marks, etc. in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use. The publisher, the authors and the editors are safe to assume that the advice and information in this book are believed to be true and accurate at the date of publication. Neither the publisher nor the authors or the editors give a warranty, express or implied, with respect to the material contained herein or for any errors or omissions that may have been made. Printed on acid-free paper This Palgrave Macmillan imprint is published by Springer Nature The registered company is Springer International Publishing AG Switzerland
ACKNOWLEDGEMENTS
Lexomics research has been supported for many years by the generosity of Wheaton College, the Teagle Foundation, the Mars, Hood and Clemence families, the Mellon Foundation, Central Children’s Charities, and the National Endowment for the Humanities, who sponsored the research in three grants: NEH HD-50300-08, “Pattern Recognition through Computational Stylistics: Old English and Beyond” 2008–2009; NEH PR-50112011, “Lexomic Tools and Methods for Textual Analysis: Providing Deep Access to Digitized Texts” 2011–2013; and NEH HD-228732-15, National Endowment for the Humanities, Digital Humanities Start-up grant: “Easing Entry and Improving Access to Computer-Assisted Text Analysis for the Humanities,” 2015–2017. Any views, findings, conclusions, or recommendations expressed in this article do not necessarily reflect those of the National Endowment for the Humanities. This research would not have been possible without the efforts of Michael J. Kahn and Mark D. LeBlanc. Th
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