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Beowulf unlockednew evidence from le...

Drout, Michael D.C.

Beowulf unlockednew evidence from lexomic analysis /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Beowulf unlockedby Michael D.C. Drout ... [et al.].
Reminder of title:	new evidence from lexomic analysis /
other author:	Drout, Michael D.C.
Published:	Cham :Springer International Publishing :2016.
Description:	xi, 96 p. :ill., digital ;22 cm.
Contained By:	Springer eBooks
Subject:	Linguistics.
Online resource:	http://dx.doi.org/10.1007/978-3-319-30628-5
ISBN:	9783319306285$q(electronic bk.)

Beowulf unlockednew evidence from lexomic analysis /
Beowulf unlockednew evidence from lexomic analysis /[electronic resource] :by Michael D.C. Drout ... [et al.]. - Cham :Springer International Publishing :2016. - xi, 96 p. :ill., digital ;22 cm.

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

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.

ISBN: 9783319306285$q(electronic bk.)

Standard No.: 10.1007/978-3-319-30628-5doiSubjects--Uniform Titles:

Beowulf.
Subjects--Topical Terms:

176897
Linguistics.

LC Class. No.: PR1585

Dewey Class. No.: 829.3

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245 0 0 $a Beowulf unlocked $h [electronic resource] : $b new evidence from lexomic analysis / $c by Michael D.C. Drout ... [et al.].
260 $a Cham : $b Springer International Publishing : $b Imprint: Palgrave Macmillan, $c 2016.
300 $a xi, 96 p. : $b ill., digital ; $c 22 cm.
505 0 $a Introduction -- Lexomic Methods -- Text Preparation of Beowulf -- Cluster Analysis of Beowulf -- Interpretation of the Cluster Analysis -- Conclusions Drawn from Cluster Analysis -- Bibliography -- Index.
520 $a 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.
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650 2 4 $a Classical and Antique Literature. $3 759041
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