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oapen-20.500.12657-610212024-03-27T14:15:09Z Computational Stylistics in Poetry, Prose, and Drama Bories, Anne-Sophie Plecháč, Petr Fabo, Pablo Ruiz Digital Humanities stylistics poetry distant reading thema EDItEUR::D Biography, Literature and Literary studies thema EDItEUR::D Biography, Literature and Literary studies::D Biography, Literature and Literary studies::DS Literature: history and criticism thema EDItEUR::D Biography, Literature and Literary studies::DS Literature: history and criticism::DSA Literary theory thema EDItEUR::D Biography, Literature and Literary studies::DS Literature: history and criticism::DSB Literary studies: general The contributions in this edited volume approach poetry, narrative, and drama from the perspective of Computational Stylistics. They exemplify methods of computational textual analysis and explore the possibility of computational generation of literary texts. The volume presents a range of computational and Natural Language Processing applications to literary studies, such as motif detection, network analysis, machine learning, and deep learning. 2023-01-30T17:06:27Z 2023-01-30T17:06:27Z 2022 book ONIX_20230130_9783110781502_11 9783110781502 9783110781410 9783110781564 https://library.oapen.org/handle/20.500.12657/61021 eng application/pdf Attribution-NonCommercial-NoDerivatives 4.0 International 9783110781502.pdf https://www.degruyter.com/isbn/9783110781502 De Gruyter De Gruyter 10.1515/9783110781502 10.1515/9783110781502 2b386f62-fc18-4108-bcf1-ade3ed4cf2f3 07f61e34-5b96-49f0-9860-c87dd8228f26 9783110781502 9783110781410 9783110781564 Swiss National Science Foundation (SNF) De Gruyter 233 Berlin/Boston [...] Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung Swiss National Science Foundation open access
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The contributions in this edited volume approach poetry, narrative, and drama from the perspective of Computational Stylistics. They exemplify methods of computational textual analysis and explore the possibility of computational generation of literary texts. The volume presents a range of computational and Natural Language Processing applications to literary studies, such as motif detection, network analysis, machine learning, and deep learning.
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