Relative contributions of Shakespeare and Fletcher in Henry VIII: An Analysis Based on Most Frequent Words and Most Frequent Rhythmic Patterns
Not on the map. Why?
Abstract (arXiv)
The versified play Henry VIII is nowadays widely recognized to be a collaborative work not written solely by William Shakespeare. We employ combined analysis of vocabulary and versification together with machine learning techniques to determine which authors also took part in the writing of the play and what were their relative contributions. Unlike most previous studies, we go beyond the attribution of particular scenes and use the rolling attribution approach to determine the probabilities of authorship of pieces of texts, without respecting the scene boundaries. Our results highly support the canonical division of the play between William Shakespeare and John Fletcher proposed by James Spedding, but also bring new evidence supporting the modifications proposed later by Thomas Merriam.
Key facts. Cited by 6 papers in the map (data through 14 Oct 2026). First posted on arXiv 30 Oct 2019.
Builds on
No reference list yet.
Built on by
Citing papers per year: 2021: 2; 2022: 0; 2023: 3; 2024: 0; 2025: 1.
6 papers.
- 2021Metrical Tagging in the Wild: Building and Annotating Poetry Corpora with Rhythmic Featurescited by 8
- 2021Syllabic Quantity Patterns as Rhythmic Features for Latin Authorship Attributioncited by 5
- 2023Computational thematics: Comparing algorithms for clustering the genres of literary fictioncited by 5
- 2023T5 meets Tybalt: Author Attribution in Early Modern English Drama Using Large Language Modelscited by 3
- 2023Who could be behind QAnon? Authorship attribution with supervised machine-learningcited by 2
- 2025Team "better_call_claude": Style Change Detection using a Sequential Sentence Pair Classifiercited by 1
- 2025Team "better_call_claude": Style Change Detection using a Sequential Sentence Pair Classifier1 Aug 2025
- 2023T5 meets Tybalt: Author Attribution in Early Modern English Drama Using Large Language Models27 Oct 2023
- 2023Computational thematics: Comparing algorithms for clustering the genres of literary fiction18 May 2023
- 2023Who could be behind QAnon? Authorship attribution with supervised machine-learning3 Mar 2023
- 2021Syllabic Quantity Patterns as Rhythmic Features for Latin Authorship Attribution27 Oct 2021
- 2021Metrical Tagging in the Wild: Building and Annotating Poetry Corpora with Rhythmic Features17 Feb 2021