Bibliograph

Beowulf Unlocked, New Evidence from Lexomic Analysis, by Michael D.C. Drout, Yvette Kisor, Leah Smith, Allison Dennett, Natasha Piirainen

Type

Label

Beowulf Unlocked, New Evidence from Lexomic Analysis, by Michael D.C. Drout, Yvette Kisor, Leah Smith, Allison Dennett, Natasha Piirainen

Language

eng

resource.imageBitDepth

Literary Form

non fiction

Main title

Beowulf Unlocked

Medium

electronic resource

Nature of contents

dictionaries

Oclc number

956278109

Responsibility statement

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

Series statement

Springer eBooks

Sub title

New Evidence from Lexomic Analysis

Summary

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.--, Provided by publisher

Table Of Contents

Introduction -- Lexomic Methods -- Text Preparation of Beowulf -- Cluster Analysis of Beowulf -- Interpretation of the Cluster Analysis -- Conclusions Drawn from Cluster Analysis -- Bibliography -- Index

Contributor

Creator