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Computational Stylistics in Poetry, Prose, and Drama / ed. by Anne-Sophie Bories, Petr Plecháč, Pablo Ruiz Fabo.

Contributor(s): Material type: TextTextLanguage: English Publisher: Berlin ; Boston : De Gruyter, [2022]Copyright date: ©2023Description: 1 online resource (VI, 233 p.)Content type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9783110781502
Subject(s): Additional physical formats: No title; No titleOnline resources: Available additional physical forms:
  • Issued also in print.
Contents:
Frontmatter -- Contents -- About this Volume -- The Polite Revolution of Computational Literary Studies -- Zooming In, Zooming Out: 30 Years of Corpus Stylistics Bricolage -- Poetry, Phenomenon and Phenomenology -- DISCOvering Spanish Sonnets: A Circular Reading Experience -- In Search of the Sermonic: Machine Listening and Poetic Sonic Genre -- Can Relationships between Rhythm and Meaning in French Versified Poetry be Automated? -- Rhyme Frequency in Nineteenth-Century English Poetry -- Hayford's Duplicates: Cobbling a Model of Melville's Moby-Dick -- Poeticisms and Common Poetic Discourse in the Digital Russian Live Stylistic Dictionary -- Properties of Dramatic Characters: Automatically Detecting Gender, Age, and Social Status -- N-Gram-Driven Word Level Recombination: Exploring a Search Space of Metrically Valid Verse -- Closing Remarks: What Was This All About? -- About the Editors
Summary: This volume responds to the current interest in computational and statistical methods to describe and analyse metre, style, and poeticity, particularly insofar as they can open up new research perspectives in literature, linguistics, and literary history. The contributions are representative of the diversity of approaches, methods, and goals of a thriving research community. Although most papers focus on written poetry, including computer-generated poetry, the volume also features analyses of spoken poetry, narrative prose, and drama. The contributions employ a variety of methods and techniques ranging from motif analysis, network analysis, machine learning, and Natural Language Processing. The volume pays particular attention to annotation, one of the most basic practices in computational stylistics. This contribution to the growing, dynamic field of digital literary studies will be useful to both students and scholars looking for an overview of current trends, relevant methods, and possible results, at a crucial moment in the development of novel approaches, when one needs to keep in mind the qualitative, hermeneutical benefit made possible by such quantitative efforts.
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E-Book E-Book De Gruyter Available

Frontmatter -- Contents -- About this Volume -- The Polite Revolution of Computational Literary Studies -- Zooming In, Zooming Out: 30 Years of Corpus Stylistics Bricolage -- Poetry, Phenomenon and Phenomenology -- DISCOvering Spanish Sonnets: A Circular Reading Experience -- In Search of the Sermonic: Machine Listening and Poetic Sonic Genre -- Can Relationships between Rhythm and Meaning in French Versified Poetry be Automated? -- Rhyme Frequency in Nineteenth-Century English Poetry -- Hayford's Duplicates: Cobbling a Model of Melville's Moby-Dick -- Poeticisms and Common Poetic Discourse in the Digital Russian Live Stylistic Dictionary -- Properties of Dramatic Characters: Automatically Detecting Gender, Age, and Social Status -- N-Gram-Driven Word Level Recombination: Exploring a Search Space of Metrically Valid Verse -- Closing Remarks: What Was This All About? -- About the Editors

Open Access unrestricted online access star

https://purl.org/coar/access_right/c_abf2

This volume responds to the current interest in computational and statistical methods to describe and analyse metre, style, and poeticity, particularly insofar as they can open up new research perspectives in literature, linguistics, and literary history. The contributions are representative of the diversity of approaches, methods, and goals of a thriving research community. Although most papers focus on written poetry, including computer-generated poetry, the volume also features analyses of spoken poetry, narrative prose, and drama. The contributions employ a variety of methods and techniques ranging from motif analysis, network analysis, machine learning, and Natural Language Processing. The volume pays particular attention to annotation, one of the most basic practices in computational stylistics. This contribution to the growing, dynamic field of digital literary studies will be useful to both students and scholars looking for an overview of current trends, relevant methods, and possible results, at a crucial moment in the development of novel approaches, when one needs to keep in mind the qualitative, hermeneutical benefit made possible by such quantitative efforts.

Issued also in print.

Mode of access: Internet via World Wide Web.

This eBook is made available Open Access under a CC BY-NC-ND 4.0 license:

https://creativecommons.org/licenses/by-nc-nd/4.0

https://www.degruyter.com/dg/page/open-access-policy

In English.

Description based on online resource; title from PDF title page (publisher's Web site, viewed 05. Dez 2022)

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