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Titlebook: Beowulf Unlocked; New Evidence from Le Michael D.C. Drout,Yvette Kisor,Natasha Piirainen Book 2016 The Editor(s) (if applicable) and The Au

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發(fā)表于 2025-3-21 19:41:52 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
期刊全稱Beowulf Unlocked
期刊簡(jiǎn)稱New Evidence from Le
影響因子2023Michael D.C. Drout,Yvette Kisor,Natasha Piirainen
視頻videohttp://file.papertrans.cn/184/183500/183500.mp4
發(fā)行地址Breaks new ground by approaching the famed text of Beowulf through a first-of-its-kind approach.Spans four years of development and multiple researchers to achieve its research goal.Expands the horizo
圖書封面Titlebook: Beowulf Unlocked; New Evidence from Le Michael D.C. Drout,Yvette Kisor,Natasha Piirainen Book 2016 The Editor(s) (if applicable) and The Au
影響因子.The most original and ground-breaking work on .Beowulf. in several decades, this book uses “l(fā)exomic” 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. ?.
Pindex Book 2016
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Book 2016 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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發(fā)表于 2025-3-22 12:30:18 | 只看該作者
Schnittstellen zum Betriebssystemstinct discourses, most likely caused by the poet’s use of multiple sources. Consistencies between the A- and B-scribe sections do not strongly support the hypothesis that the two sections have different authors.
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發(fā)表于 2025-3-22 14:14:36 | 只看該作者
Interpretation of the Cluster Analysis,stinct discourses, most likely caused by the poet’s use of multiple sources. Consistencies between the A- and B-scribe sections do not strongly support the hypothesis that the two sections have different authors.
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Lexomic Methods,. Hierarchical agglomerative cluster analysis is used to identify segments of a poem that have distinctively different (or similar) vocabulary distributions, and traditional methods are then employed to explain why the segments are very similar to or different from each other. A variety of technique
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