Versification and Authorship Attribution
Autor Petr Plechácen Limba Engleză Paperback – 28 mar 2022
The technique known as contemporary stylometry uses different methods, including machine learning, to discover a poem’s author based on features like the frequencies of words and character n-grams. However, there is one potential textual fingerprint stylometry tends to ignore: versification, or the very making of language into verse. Using poetic texts in three different languages (Czech, German, and Spanish), Petr Plecháč asks whether versification features like rhythm patterns and types of rhyme can help determine authorship. He then tests his findings on two unsolved literary mysteries. In the first, Plecháč distinguishes the parts of the Elizabethan verse play The Two Noble Kinsmen written by William Shakespeare from those written by his coauthor, John Fletcher. In the second, he seeks to solve a case of suspected forgery: how authentic was a group of poems first published as the work of the nineteenth-century Russian author Gavriil Stepanovich Batenkov? This book of poetic investigation should appeal to literary sleuths the world over.
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Specificații
ISBN-13: 9788024648712
ISBN-10: 8024648717
Pagini: 98
Ilustrații: 25 graphs, 17 tables
Dimensiuni: 140 x 203 x 10 mm
Greutate: 0.18 kg
Editura: Karolinum Press, Charles University
Colecția Karolinum Press, Charles University
ISBN-10: 8024648717
Pagini: 98
Ilustrații: 25 graphs, 17 tables
Dimensiuni: 140 x 203 x 10 mm
Greutate: 0.18 kg
Editura: Karolinum Press, Charles University
Colecția Karolinum Press, Charles University
Notă biografică
Petr Plecháč is head of the Versification Research Group at the Czech Academy of Science’s Institute of Czech Literature, and a member of the Mining the Comic Verse project at the University of Basel.
Cuprins
Introduction
Previous Publications
Data and Code
1. Quantitative Approaches to Authorship Attribution
1.1 Origins of Stylometry
1.2 Searching for the “Golden Feature”
1.3 Multivariate Analyses
1.4 Support-Vector Machines
1.5 Versification-Based Attribution
1.6 Summary
2. Versification features
2.1Rhythm
2.2 Rhyme
2.3 Euphony
3. Experiments
3.1 Data
3.2 Versification-Based Attribution
3.3 Comparison with Lexicon-Based Models
3.4 Summary
4. Application
4.1 The Two Noble Kinsmen
4.2 The Case of (Pseudo-)Batenkov: Towards a Formal Proof of Literary Forgery (co-authored by Artjoms Šela)
5. Bibliography
Previous Publications
Data and Code
1. Quantitative Approaches to Authorship Attribution
1.1 Origins of Stylometry
1.2 Searching for the “Golden Feature”
1.3 Multivariate Analyses
1.4 Support-Vector Machines
1.5 Versification-Based Attribution
1.6 Summary
2. Versification features
2.1Rhythm
2.2 Rhyme
2.3 Euphony
3. Experiments
3.1 Data
3.2 Versification-Based Attribution
3.3 Comparison with Lexicon-Based Models
3.4 Summary
4. Application
4.1 The Two Noble Kinsmen
4.2 The Case of (Pseudo-)Batenkov: Towards a Formal Proof of Literary Forgery (co-authored by Artjoms Šela)
5. Bibliography