Versification and authorship attribution. A pilot study on Czech, German, Spanish, and English poetry

Plecháč, Petr; Bobenhausen, Klemens; Hammerich, Benjamin

doi:10.12697/smp.2018.5.2.02

Cited by 24 publications

(9 citation statements)

References 20 publications

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“…One popular indicator in contemporary stylometry is the relative frequency of the most frequent words (MFW) (see Plecháč et al 2018, including its bibliography). This indicator is obtained as follows: we count the number of times a given word occurs in a text and then divide this figure by the total word count.…”

Section: A Comparative Stylometric Experimentsmentioning

confidence: 99%

Rhythm and Vocabulary of Greek Hexameter: From Formula to Topolexis

Rueda¹,

Belousova²,

Charris³

2022

Tackling the Toolkit: Plotting Poetry Through Computational Literary Studies

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The article discusses the results of our application of a computer program created for the automatic analysis of lexical distribution based on rhythmic position in Greek hexameter. For this purpose, we introduce the concept of the topolexis (in Greek τοπολέξις: from τόπος “place” and λέξις “expression, word”), which describes each word based on its position in the given line and is expressed as the word in combination with two sets of numerals. The topolexis “52Ἀχιλῆος62”, for example, indicates that the word Ἀχιλῆος begins at the second syllable of the fifth foot (52) and ends at the second syllable of the sixth foot (62). We investigate the behavior of topolexes in a corpus that includes Homer’s The Iliad and The Odyssey and Apollonius Rhodius’ The Argonautica. We find that the distribution of topolexes of different frequencies varies among these texts. While The Argonautica contains a greater number of unique topolexes, higher-frequency topolexes are more common in Homer’s poems. The “formulaicity ratio”, which we define as the ratio of distinct topolexes in a text to its overall topolexis count, is higher for Homer. In addition, we obtain and analyze data about Hesiod’s The Theogony. Although The Theogony is only 1,023 lines long, it exhibits the same tendencies as Homeric hexameter. We are, thus, able to clearly and accurately compare the behavior of topolexes in epic hexameter in the formulaic style and in its literary imitation by Apollonius. Lastly, we run a test to compare the performances of the topolexes and the most frequent words (MFW) as stylometric indicators for determining text authorship. We find that while topolexes enable us to correctly cluster fragments by their author, they do not outperform the MFW in this respect.

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Section: A Comparative Stylometric Experimentsmentioning

confidence: 99%

Rhythm and Vocabulary of Greek Hexameter: From Formula to Topolexis

Rueda¹,

Belousova²,

Charris³

2022

Tackling the Toolkit: Plotting Poetry Through Computational Literary Studies

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“…Dumalus and Fernandez (2011) regard text rhythm as a valid author's style marker using a simple Naive Bayesian Classifier. Plecháč et al (2018) apply rhythm parameters to establishing the authorship of poetic texts. These parameters include frequencies of stressed syllables at particular metrical positions and frequencies of particular sounds.…”

Section: Existing Tools: State-of-the-artmentioning

confidence: 99%

Evaluating the Performance of a New Text Rhythm Analysis Tool

Boychuk

Lagutina

Vorontsova

et al. 2020

ESNBU

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The paper assesses and evaluates the performance of the ProseRhythmDetector (PRD) Text Rhythm Analysis Tool. The research is a case study of 50 English and 50 Russian fictional texts (approximately 88,000 words each) from the 19th to the 21st century. The paper assesses the PRD tool accuracy in detecting stylistic devices containing repetition in their structure such as diacope, epanalepsis, anaphora, epiphora, symploce, epizeuxis, anadiplosis, and polysyndeton. The article ends by discussing common errors, analysing disputable cases and highlighting the use of the tool for author and idiolect identification.

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“…Nowadays it is widely recognized that along with Shakespeare, other authors were involved in the writing of this play, yet there are different opinions as to who these authors were and what the precise shares were of their authorial contributions. This article aims to contribute to the question of the play's authorship using combined analysis of vocabulary and versification and modern machine learning techniques (as proposed in [1,2]).…”

Section: Introductionmentioning

confidence: 99%

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

Plecháč

2019

Preprint

Self Cite

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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.

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Versification and authorship attribution. A pilot study on Czech, German, Spanish, and English poetry

Cited by 24 publications

References 20 publications

Rhythm and Vocabulary of Greek Hexameter: From Formula to Topolexis

Rhythm and Vocabulary of Greek Hexameter: From Formula to Topolexis

Evaluating the Performance of a New Text Rhythm Analysis Tool

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

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