Multilingual Stylometry. The Influence of Language on the Performance of Authorship Attribution using Corpora from the European Literary Text Collection (ELTeC)

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68378068%3A_____%2F24%3A00603253" target="_blank" >RIV/68378068:_____/24:00603253 - isvavai.cz</a>

Result on the web

<a href="https://ceur-ws.org/Vol-3834/paper9.pdf" target="_blank" >https://ceur-ws.org/Vol-3834/paper9.pdf</a>

DOI - Digital Object Identifier

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Result language

angličtina

Original language name

Multilingual Stylometry. The Influence of Language on the Performance of Authorship Attribution using Corpora from the European Literary Text Collection (ELTeC)

Original language description

Stylometric authorship attribution is concerned with the task of assigning texts of unknown, pseudony- mous or disputed authorship to their most likely author, often based on a comparison of the frequency of a selected set of features that represent the texts. The parameters of the analysis, such as feature selec- tion and the choice of similarity measure or classification algorithm, have received significant attention in the past. Two additional key factors for the performance and reliability of stylometric methods, how- ever, have so far received less attention, namely corpus composition and corpus language. As a first step, the aim of this study is to investigate the influence of language on the performance of stylometric authorship attribution. We address this question using four different corpora derived from the European Literary Text Collection (ELTeC). We use machine-translation to obtain each corpus in the other three languages. We find that, as expected, the attribution accuracy varies between language-based corpora, and that translated corpora, on average, display a lower attribution accuracy compared to their counter- parts in the original language. Overall, our study contributes to a better understanding of stylometric methods of authorship attribution.

Czech name

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Czech description

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Type

D - Article in proceedings

CEP classification

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OECD FORD branch

60206 - Specific literatures

Project

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Continuities

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year

2024

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection

CHR 2024: Computational Humanities Research 2024: Proceedings of the Computational Humanities Research Conference 2024

ISBN

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ISSN

1613-0073

e-ISSN

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Number of pages

23

Pages from-to

386-408

Publisher name

Technical University & CreateSpace Independent Publishing

Place of publication

Aachen

Event location

Aarhus

Event date

Dec 4, 2024

Type of event by nationality

EUR - Evropská akce

UT code for WoS article

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