Quantitative Approaches to Versification
Quantitative Approaches to Versification / Petr Plecháč, Barry P. Scherr, Tatyana Skulacheva, Helena Bermúdez-Sabel Robert Kolár (eds.). — Praha, 2019. — 276 p.
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).