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Relative contributions of Shakespeare and Fletcher in Henry VIII: An
  Analysis Based on Most Frequent Words and Most Frequent Rhythmic Patterns

Relative contributions of Shakespeare and Fletcher in Henry VIII: An Analysis Based on Most Frequent Words and Most Frequent Rhythmic Patterns

Digital Scholarship in the Humanities (DSH), 2019
30 October 2019
Petr Plechác
ArXiv (abs)PDFHTML

Papers citing "Relative contributions of Shakespeare and Fletcher in Henry VIII: An Analysis Based on Most Frequent Words and Most Frequent Rhythmic Patterns"

5 / 5 papers shown
Team "better_call_claude": Style Change Detection using a Sequential Sentence Pair Classifier
Team "better_call_claude": Style Change Detection using a Sequential Sentence Pair Classifier
Gleb Schmidt
Johannes Römisch
Mariia Halchynska
Svetlana Gorovaia
Ivan P. Yamshchikov
AI4TS
165
1
0
01 Aug 2025
Computational thematics: Comparing algorithms for clustering the genres
  of literary fiction
Computational thematics: Comparing algorithms for clustering the genres of literary fictionHumanities and Social Sciences Communications (Hum. Soc. Sci. Commun.), 2023
Oleg Sobchuk
A. Šeļa
235
15
0
18 May 2023
Who could be behind QAnon? Authorship attribution with supervised
  machine-learning
Who could be behind QAnon? Authorship attribution with supervised machine-learningDigital Scholarship in the Humanities (DSH), 2023
F. Cafiero
Jean-Baptiste Camps
120
10
0
03 Mar 2023
Syllabic Quantity Patterns as Rhythmic Features for Latin Authorship
  Attribution
Syllabic Quantity Patterns as Rhythmic Features for Latin Authorship Attribution
Silvia Corbara
Alejandro Moreo
Fabrizio Sebastiani
349
9
0
27 Oct 2021
Metrical Tagging in the Wild: Building and Annotating Poetry Corpora
  with Rhythmic Features
Metrical Tagging in the Wild: Building and Annotating Poetry Corpora with Rhythmic FeaturesConference of the European Chapter of the Association for Computational Linguistics (EACL), 2021
Thomas Haider
220
16
0
17 Feb 2021
1
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