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A Diachronic Corpus for Literary Style Analysis.

Authors: Vogel, Carl; Klaussner, Carmen;

A Diachronic Corpus for Literary Style Analysis.

Abstract

This research presents a resource for diachronic style analysis in particular the analysis of literary authors over time. Temporal style analysis has received comparatively little attention over the past years in spite of the possibility of an author's style frequently changing over time, a property that is not only interesting in its own right, but which also has implications for synchronic analyses of style. The corpus contains 22 American literary authors from the mid 19th to early 20th century that wrote largely in parallel. After describing the resource, we show how the corpus can be used to detect changing features in literary style.

Country
Ireland
Related Organizations
Keywords

Digital Humanities, authorship profiling, stylometry, Diachronic literary corpus, Style analysis, Computational linguistics, stylochronometry, Linear regression

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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Average
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