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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.
Table of Contents
List of Tables
List of FiguresAcknowledgements
1 Introduction
2 Lexomic Methods
2.1 Hierarchical Agglomerative Cluster Analysis
2.2 Interpreting Dendrogram Geometries
3 Text Preparation of Beowulf
3.1 Text Preparation: Orthography
3.2 Text Preparation: Edition and Text
4 Cluster Analysis of Beowulf
4.1 Identifying Segment Boundaries: Screening
4.2 Identifying Segment Boundaries in the A-Scribe Text
4.2.1 Finding Robust Geometries Using Shifting&lãÉ
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