Mathematical Methods for Attributing Literary Works when Solving the “Corneille–Molière” Problem*

Marusenko, Mikhail; Rodionova, Elena

doi:10.1080/09296170903395924

Cited by 4 publications

(4 citation statements)

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“…The notion of distance separating two textual entities is difficult to handle, as it is first and foremost a metaphor. A simple solution is to compute it with the classical Euclidean distance ( 5 , 15 ). Yet, recent papers have advocated that the choice of the distance measure was a crucial problem in authorship attribution, which could markedly affect performance.…”

Section: Methodsmentioning

confidence: 99%

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Why Molière most likely did write his plays

Cafiero

Camps

2019

Sci. Adv.

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Section: Methodsmentioning

confidence: 99%

“…The lack of selection or treatment on the texts is hard to defend. Marusenko and Rodionova ( 15 ) tried to attribute 13 comedies in verse signed by Molière. These plays are compared to two sets of comedies in verse, one by P. Quinault and the other by P. Corneille, according to five grammatical criteria.…”

Section: Introductionmentioning

confidence: 99%

Why Molière most likely did write his plays

Cafiero

Camps

2019

Sci. Adv.

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“…Mendenhall proposed a method to analyze a composition by forming a "word spectrum," or "characteristic curve," which represents an arrangement of words according to their length and the relative frequency of their occurrence. Furthermore, Labbé, Cyril and Labbé, Dominique [48] and Marusenko and Rodionova [49] used a combination of stylistic and statistical methods to solve the authorship attribution and identification problem for the works of Moliere and Corneille. This problem was solved using mathematical modeling methods, and quantitative descriptions of individual author styles on a syntactic level.…”

Section: Statistical Modelsmentioning

confidence: 99%

Authorship Attribution Methods, Challenges, and Future Research Directions: A Comprehensive Survey

He,

Lashkari,

Vombatkere

et al. 2024

Information

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Over the past few decades, researchers have put their effort and paid significant attention to the authorship attribution field, as it plays an important role in software forensics analysis, plagiarism detection, security attack detection, and protection of trade secrets, patent claims, copyright infringement, or cases of software theft. It helps new researchers understand the state-of-the-art works on authorship attribution methods, identify and examine the emerging methods for authorship attribution, and discuss their key concepts, associated challenges, and potential future work that could help newcomers in this field. This paper comprehensively surveys authorship attribution methods and their key classifications, used feature types, available datasets, model evaluation criteria and metrics, and challenges and limitations. In addition, we discuss the potential future research directions of the authorship attribution field based on the insights and lessons learned from this survey work.

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“…As a typical literacy example related to the current study, we could mention the recent work done by Marusenko and Rodionova (2010), who suggested 51 potential features capable of distinguishing between two given authors (Molie`re vs. Corneille). These features were mainly structural (number of simple sentences, complex sentences, parenthesis phrases), or syntactic (number of conjugated verb forms, direct objects, subjects, subordinate clauses without a conjugated form of a verb, etc.).…”

Section: Related Workmentioning

confidence: 99%

Authorship Attribution: A Comparative Study of Three Text Corpora and Three Languages

Savoy

2012

Journal of Quantitative Linguistics

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The first objective of this paper is carry out three experiments intended to evaluate authorship attribution methods based on three test-collections available in three different languages (English, French, and German). In the first we represent and categorize 52 text excerpts written by nine authors and taken from 19th century English novels. In the second we work with 44 segments from French novels written by eleven authors, mostly from the 19th century. In the third we extract 59 German text excerpts from novels published mainly during the 19th and the beginning of the 20th century, written by 15 authors. The second objective is to analyse performance differences obtained when using word types or lemmas as text representations, and the third objective is to evaluate three authorship attribution schemes, the first of which uses principal component analysis (PCA), the second applies the Delta approach, and the third corresponds to a new authorship attribution method based on specific vocabulary. This concept is computed for a given text (or author profile) and then compared with the entire corpus. Based on this information, we show how a distance measure can be derived and by means of the nearest neighbor approach we suggest a simple and efficient authorship attribution scheme. Based on three test collections and using either word types or lemmas as features, we demonstrate that the suggested classification scheme performs better than the PCA method, and slightly better than the Delta approach.

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Mathematical Methods for Attributing Literary Works when Solving the “Corneille–Molière” Problem*

Cited by 4 publications

References 1 publication

Why Molière most likely did write his plays

Why Molière most likely did write his plays

Authorship Attribution Methods, Challenges, and Future Research Directions: A Comprehensive Survey

Authorship Attribution: A Comparative Study of Three Text Corpora and Three Languages

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