Original title: Quantitative Approaches to Versification
Authors: Plecháč, Petr ; Barry, P. ; Skulacheva, T. ; Bermúdez-Sabel, H. ; Kolár, Robert
Document type: Proceedings
Conference/Event: Quantitative Approaches to Versification, Praha (CZ), 20190624
Year: 2019
Language: eng
Abstract: This volume presents a wide range of quantitative approaches to versification. It comprises various methodological perspectives ranging from simple descriptive statistics to advanced machine learning methods (such as support vector machines, random forests or neural networks) as well as material covering a large span of time and languages: from very ancient versifications (Sumerian, Akkadian, Hittie, Ancient Greek), through medieval (Old English, Old Icelandic, Old Saxon) and Renaissance verse to modern experiments (free verse, concrete poetry), from English and Russian through Spanish and German to Portuguese and Catalan. Not only written, but also spoken poetry has been analyzed. The book covers multiple topics. What they all share in common is that versification is being studied in the context of other linguistic phenomena that may affect or determine it. Analyses of large corpora go hand in hand with comparative approaches. It is shown that quantitative approaches can be used for the purpose of authorship attribution, to build reasonable typologies as well as to understand why certain forms play such a dominant roles in our cultural tradition(s).
Keywords: prosody; quantitative verse studies; versification
Project no.: GA17-01723S (CEP)
Funding provider: GA ČR

Institution: Institute of Czech Literature AS ČR (web)
Document availability information: Fulltext is available at external website.
External URL: http://versologie.cz/conference2019/proceedings/qav.pdf
Original record: http://hdl.handle.net/11104/0299374

Permalink: http://www.nusl.cz/ntk/nusl-403640


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Research > Institutes ASCR > Institute of Czech Literature
Conference materials > Proceedings
 Record created 2019-10-19, last modified 2021-11-24


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