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Beowulf Unlocked

New Evidence from Lexomic Analysis

  • Michael D.C. Drout
  • Yvette Kisor
  • Leah Smith
  • Allison Dennett
  • Natasha Piirainen

Table of contents

  1. Front Matter
    Pages i-xi
  2. Michael D. C. Drout, Yvette Kisor, Leah Smith, Allison Dennett, Natasha Piirainen
    Pages 1-4
  3. Michael D. C. Drout, Yvette Kisor, Leah Smith, Allison Dennett, Natasha Piirainen
    Pages 5-16
  4. Michael D. C. Drout, Yvette Kisor, Leah Smith, Allison Dennett, Natasha Piirainen
    Pages 17-22
  5. Michael D. C. Drout, Yvette Kisor, Leah Smith, Allison Dennett, Natasha Piirainen
    Pages 23-53
  6. Michael D. C. Drout, Yvette Kisor, Leah Smith, Allison Dennett, Natasha Piirainen
    Pages 55-80
  7. Michael D. C. Drout, Yvette Kisor, Leah Smith, Allison Dennett, Natasha Piirainen
    Pages 81-83
  8. Back Matter
    Pages 85-96

About this book

Introduction

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 sources of the greatest surviving Old English poem. Techniques of cluster analysis identify patterns of vocabulary distribution that indicate robust similarities and differences among segments of the poem. The correlation of these patterns with knowledge gained from source-study, philological analysis, and neglected previous scholarship sheds new light on the material of which Beowulf was made and the way it was composed. The implications of this investigation for the dating, structure, and cultural context of Beowulf will overturn the current scholarly consensus and significantly improve our understanding of the poem, its nature, and origins.  


Keywords

Beowulf Old English Lexomic Literature Statistical Analysis

Authors and affiliations

  • Michael D.C. Drout
    • 1
  • Yvette Kisor
    • 2
  • Leah Smith
    • 3
  • Allison Dennett
    • 4
  • Natasha Piirainen
    • 5
  1. 1.Wheaton College DedhamUSA
  2. 2.Ramapo College of New Jersey MahwahUSA
  3. 3.ProvidenceUSA
  4. 4.PortsmouthUSA
  5. 5.Mechanic FallsUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-30628-5
  • Copyright Information The Editor(s) (if applicable) and The Author(s) 2016
  • Publisher Name Palgrave Macmillan, Cham
  • eBook Packages Social Sciences
  • Print ISBN 978-3-319-30627-8
  • Online ISBN 978-3-319-30628-5
  • Buy this book on publisher's site