Versification and Authorship Attribution
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...
| Other Authors: | |
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| Format: | eBook |
| Language: | Inglés |
| Published: |
Prague :
Karolinum Press
2021.
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| Edition: | First edition |
| Subjects: | |
| See on Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009746150706719 |
Table of Contents:
- 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
- 2.1 Rhythm
- 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 Sela)
- 5. Bibliography.
