可行
发表于 2025-3-23 13:40:17
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climax
发表于 2025-3-23 15:16:16
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Harbor
发表于 2025-3-23 20:09:15
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Addictive
发表于 2025-3-23 23:16:04
Conclusions Drawn from Cluster Analysis,ave been influenced by sources different from those of the majority of the poem. Segments D (Grendel Fight), G (Grendel’s mother), L (Geatish history) and P (Geatish/Swedish Wars) are also likely to have been influenced by sources, with the sources of L and P being like (or even the same as) those o
Cleave
发表于 2025-3-24 04:17:35
https://doi.org/10.1007/978-3-319-30628-5Beowulf; Old English; Lexomic; Literature; Statistical Analysis; literary diction; British and Irish Liter
肌肉
发表于 2025-3-24 07:30:55
978-3-319-80855-0The Editor(s) (if applicable) and The Author(s) 2016
ARK
发表于 2025-3-24 10:40:07
Schnittstellen zum Betriebssysteme variation among scholarly editions of the poem. The decision to use the fourth edition of Fr. Klaeber‘s Beowulf as a base text is explained, as are the various techniques used for processing the text. Procedures for creating a self-normalized text of Beowulf are also detailed.
牛马之尿
发表于 2025-3-24 15:42:07
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强壮
发表于 2025-3-24 22:13:15
Technische Anwendungen mit dem PC. 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
conquer
发表于 2025-3-25 01:35:09
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