In this paper we test the hypothesis that authorial style depends on genre and find that the stylistic signatures of authors do indeed vary significantly, even when only considering the most frequent function words. We test this hypothesis by comparing the out-of-sample predictions of three different multinomial logistic regression models. We discuss our findings with regard to stylistic variation at the level of words and in the context of existing knowledge about literary genres in the Classical Age. We conclude by advocating adding logistical regression to the stylometric toolbox as a flexible way to investigate how authors' writing varies depending on context
International audienceIn this chapter we survey previous research and present the methodology employ...
International audienceGreat authors of fiction and theatre have the capacity of creating memorable c...
Abstract: Language and literary studies have studied style for centuries, and even since the advent ...
Considerable scholarship in stylometry has focused on authorship attribution. Such work is based on ...
International audienceThe way in which authors express themselves is unique but changes over their l...
This brief paper gives an example of statistical stylistic experimentation and argues for more infor...
editorial reviewedDans le cadre de ce colloque, en me fondant sur ce corpus dramatique trilingue gre...
Although their raw materials are often the same, the methods of Shakespearian textual scholarship ca...
Literature is a form of expression whose temporal structure, both in content and style, provides a h...
A growing number of studies in the humanities now use the tools of authorship attribution to answer ...
Writers are often viewed as having an inherent style which can serve as a literary fingerprint. By ...
(Eine deutsche Fassung dieses Beitrags erscheint zeitgleich bei "Philologeek".) Last week, at the Gö...
Predicting the success of literary works is a curious question among publishers and aspir-ing writer...
The digital age, by making large amounts of text available to us, prompts us to develop new and addi...
This chapter argues for more informed target metrics for the statistical processing of stylistic var...
International audienceIn this chapter we survey previous research and present the methodology employ...
International audienceGreat authors of fiction and theatre have the capacity of creating memorable c...
Abstract: Language and literary studies have studied style for centuries, and even since the advent ...
Considerable scholarship in stylometry has focused on authorship attribution. Such work is based on ...
International audienceThe way in which authors express themselves is unique but changes over their l...
This brief paper gives an example of statistical stylistic experimentation and argues for more infor...
editorial reviewedDans le cadre de ce colloque, en me fondant sur ce corpus dramatique trilingue gre...
Although their raw materials are often the same, the methods of Shakespearian textual scholarship ca...
Literature is a form of expression whose temporal structure, both in content and style, provides a h...
A growing number of studies in the humanities now use the tools of authorship attribution to answer ...
Writers are often viewed as having an inherent style which can serve as a literary fingerprint. By ...
(Eine deutsche Fassung dieses Beitrags erscheint zeitgleich bei "Philologeek".) Last week, at the Gö...
Predicting the success of literary works is a curious question among publishers and aspir-ing writer...
The digital age, by making large amounts of text available to us, prompts us to develop new and addi...
This chapter argues for more informed target metrics for the statistical processing of stylistic var...
International audienceIn this chapter we survey previous research and present the methodology employ...
International audienceGreat authors of fiction and theatre have the capacity of creating memorable c...
Abstract: Language and literary studies have studied style for centuries, and even since the advent ...