Cherry Picking in Nontraditional Authorship Attribution Studies

Rudman, Joseph

doi:10.1080/09332480.2003.10554845

Cited by 18 publications

(6 citation statements)

References 13 publications

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“…The problem of systematic errors in stylometry, and particularly in non-traditional authorship attribution, has already been discussed. Rudman (1998aRudman ( , 1998bRudman ( , 2003 has formulated a number of caveats concerning different issues in non-traditional authorship attribution, including possible pitfalls in corpus preparation. Noecker et al (2008), in their attempt to test the impact of optical character recognition (OCR) errors on attribution accuracy, have observed that moderate damage of input texts does not affect the results significantly.…”

Section: Introductionmentioning

confidence: 99%

Mind your corpus: systematic errors in authorship attribution

Eder

2013

Literary and Linguistic Computing

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In computational stylistics, any influence of unwanted noise-e.g. caused by an untidilyprepared corpus-might lead to biased or false results. Relying on contaminated data is quite similar to using dirty test tubes in a laboratory: it inescapably means falling into systematic error. An important question is what degree of nonchalance is acceptable to obtain sufficiently reliable results. The present study attempts to verify the impact of unwanted noise in a series of experiments conducted on several corpora of English, German, Polish, Ancient Greek and Latin prose texts. In 100 iterations, a given corpus was gradually damaged, and controlled tests for authorship were applied. The first experiment was designed to show the correlation between a dirty corpus and attribution accuracy. The second was aimed to test how disorder in word frequencies-produced by scribal and/or editorial modifications-affects the attribution abilities of particular corpora. The goal of the third experiment was to test how much 'authorial' data a given text needs to have in order to trace authorial fingerprint through a mass of external quotations.

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Section: Introductionmentioning

confidence: 99%

Mind your corpus: systematic errors in authorship attribution

Eder

2013

Literary and Linguistic Computing

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“…Longfellow made an important contribution to the victory of the abolitionist movement not only speaking out publicly, but also writing a whole collection of poems (Poems on Slavery) to win the hearts of people for abolitionist ideas (CALHOUN, 2004;IRMSCHER 2009;LAWTON, 1972;PARRINGTON, 1958). The data-base for the analysis was formed according to the requirements, formulated in stylometric workshomogeneity of genre and size consistency (McMENAMIN, 2002;RUDMAN, 1998RUDMAN, , 2003LABBÉ, 2007;RYBICKI, 2008).…”

Section:  Characteristics Of Location Of Immobile Objects In Space;mentioning

confidence: 99%

“…Stylistic differences of texts relating to genre, the gender of the author and the authors' native language (when they write in a foreign language) have been extensively studied in stylometry, psycho-linguistics and forensic linguistics (see, for example, Rudman, 2003;McMenamin, 2002;Stamou, 2008;Gliserman, 1983;Stone, 2003;Fernández-Cozman, 2018). Another interesting problem in stylistics concerns the dynamics of style.…”

Section: Introductionmentioning

confidence: 99%

Style Evolution: Space and Movement in Longfellow’s Lyrical Poems

Andreev

2021

Bakhtiniana, Rev. Estud. Discurso

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Variance of individual style over time and the tendencies in style evolution are important issues in modern linguistics. This paper investigates how parameters of space and movement categorization were deployed by the famous American poet H.W. Longfellow at different stages of his creative career. The attention is focused on lexical units with spatial meaning. The analysis revealed significant changes in (i) the structure of space, (ii) the ratio of horizontal vs. vertical relations of objects, statics vs. dynamics, and (iii) the role of a human being in poetic space. The early verse represents the world as a balanced unity, which then turns into a more complex system with two strata of reality. At the final stage of Longfellow’s creative career, space in his poetic world is integrated again but now acquires a new structural organisation that is different, to a certain extent, from that of his early period.

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“…This approach takes into account the author's subconscious stylistic preferences-his estimation of what is proper at the time of publication. Homogeneity of the text corpus (Rudman, 2003) is achieved by including the texts of the same genre and comparable in size-all iambic lyrics not exceeding 70 lines. The resulting corpus includes 60 poems (2,113 verse lines).…”

Section: Data Sourcesmentioning

confidence: 99%

Patterns in Style Evolution of Poets

Andreev

2019

Sage Open

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This article investigates the problem of style stability and variation over time and presents the results of analysis of style evolution of American romantic poet H.W. Longfellow. The feature set includes 29 morphological and syntactic characteristics. The method of multivariate discriminant analysis is used. The study showed significant style changes over time and made it possible to single out the major tendencies of style evolution: the poet in his mature verses returns to the characteristics of his early lyrics. Besides, comparison of the variable and stable characteristics demonstrated that the initial part of the line is connected with style evolution, whereas the end of the line (which is the rhymed position) is less variable over time. The results may be useful for authorship attribution and manuscript dating research.

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Cherry Picking in Nontraditional Authorship Attribution Studies

Cited by 18 publications

References 13 publications

Mind your corpus: systematic errors in authorship attribution

Mind your corpus: systematic errors in authorship attribution

Style Evolution: Space and Movement in Longfellow’s Lyrical Poems

Patterns in Style Evolution of Poets

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