A Survey on Stylometric Text Features

Lagutina, Ksenia; Lagutina, Nadezhda; Boychuk, Elena; Vorontsova, Inna A.; Shliakhtina, Elena; Belyaeva, O. B.; Paramonov, Ilya; Demidov, P.G.

doi:10.23919/fruct48121.2019.8981504

Cited by 43 publications

(29 citation statements)

References 32 publications

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“…This is directly related to the problem of linguistic uniqueness and author identification (e.g. Lagutina et al, 2019;. The tool has demonstrated encouraging results in this respect.…”

Section: Rhythm Figure Analysis Is Instrumental In Identifying Authormentioning

confidence: 92%

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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“…This is directly related to the problem of linguistic uniqueness and author identification (e.g. Lagutina et al, 2019;. The tool has demonstrated encouraging results in this respect.…”

Section: Rhythm Figure Analysis Is Instrumental In Identifying Authormentioning

confidence: 92%

Evaluating the Performance of a New Text Rhythm Analysis Tool

Boychuk

Lagutina

Vorontsova

et al. 2020

ESNBU

Self Cite

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“…https: //doi.org/10.15405/epsbs.2020.12.02.30 Corresponding Author: E. I. Boychuk Selection and peer-review under This tool makes it possible to do the analysis of text rhythmicity at the lexical-grammatical level, as well as the statistical analysis of a large number of texts or pieces of work aimed at comparative and contrastive studies of texts written in different epochs (Lagutina et al, 2019). In our research, it is important to use the tool to find out the most active figure of speech in the novel which is also necessary for detecting the device (one or a few) that prevails in the text, which might help us to consider the text polyphonic or homophonic.…”

Section: Methodsmentioning

confidence: 99%

Multilayeredness Of Literary Prosaic Text: Polyphony Vs Homophony

Boychuk¹,

Belyayeva²

2020

European Proceedings of Social and Behavioural Sciences

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“…etc. The stop word lists were compiled empirically and continue to be expanded and corrected when testing new versions of the tool (Lagutina et al, 2019a).…”

Section: Methodsmentioning

confidence: 99%

Analysis Of Rhythm Reproduction In English-Russian Literary Translation

Vorontsova¹

2020

European Proceedings of Social and Behavioural Sciences

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A Survey on Stylometric Text Features

Cited by 43 publications

References 32 publications

Evaluating the Performance of a New Text Rhythm Analysis Tool

Evaluating the Performance of a New Text Rhythm Analysis Tool

Multilayeredness Of Literary Prosaic Text: Polyphony Vs Homophony

Analysis Of Rhythm Reproduction In English-Russian Literary Translation

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