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Beowulf unlocked = new evidence from...

Drout, Michael D.C.

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Beowulf unlocked = new evidence from lexomic analysis /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Beowulf unlocked/ by Michael D.C. Drout ... [et al.].
其他題名:	new evidence from lexomic analysis /
其他作者:	Drout, Michael D.C.
出版者:	Cham :Springer International Publishing : : 2016.,
面頁冊數:	xi, 96 p. :ill., digital ;22 cm.
內容註:	Introduction -- Lexomic Methods -- Text Preparation of Beowulf -- Cluster Analysis of Beowulf -- Interpretation of the Cluster Analysis -- Conclusions Drawn from Cluster Analysis -- Bibliography -- Index.
Contained By:	Springer eBooks
標題:	Linguistics. -
電子資源:	http://dx.doi.org/10.1007/978-3-319-30628-5
ISBN:	9783319306285

Beowulf unlocked = new 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

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

Beowulf.
Subjects--Topical Terms:

524476
Linguistics.

LC Class. No.: PR1585

Dewey Class. No.: 829.3

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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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