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Record Nr. |
UNISA996500665603316 |
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Titolo |
Computational Stylistics in Poetry, Prose, and Drama / / ed. by Anne-Sophie Bories, Petr Plecháč, Pablo Ruiz Fabo |
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Pubbl/distr/stampa |
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Berlin ; ; Boston : , : De Gruyter, , [2022] |
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©2023 |
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ISBN |
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Edizione |
[1st ed.] |
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Descrizione fisica |
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1 online resource (VI, 233 p.) |
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Soggetti |
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LITERARY CRITICISM / General |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di contenuto |
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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 |
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Sommario/riassunto |
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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 |
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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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