Authorship attribution of source code by using back propagation neural network based on particle swarm optimization. [PDF]
PLoS ONE, 2017 Authorship attribution is to identify the most likely author of a given sample among a set of candidate known authors. It can be not only applied to discover the original author of plain text, such as novels, blogs, emails, posts etc., but also used to ...
Xinyu Yang +4 more
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Mental profile mapping: A psychological single-candidate authorship attribution method. [PDF]
PLoS ONE, 2018 Modern authorship attribution methods are often comprised of powerful yet opaque machine learning algorithms. While much of this work lends itself to concrete outcomes in the form of probability scores, advanced approaches typically preclude deeper ...
Ryan L Boyd
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Authorship attribution based on Life-Like Network Automata. [PDF]
PLoS ONE, 2018 The authorship attribution is a problem of considerable practical and technical interest. Several methods have been designed to infer the authorship of disputed documents in multiple contexts.
Jeaneth Machicao +4 more
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Automatic authorship attribution in Albanian texts. [PDF]
PLoS OneAutomatic authorship identification is a challenging task that has been the focus of extensive research in natural language processing. Regardless of the progress made in attributing authorship, the need for corpora in under-resourced languages impedes advancing and examining present methods.
Misini A, Canhasi E, Kadriu A, Fetahi E.
europepmc +3 more sources
Reconsidering Authorship in the Ciceronian Corpus through Computational Authorship Attribution
Ciceroniana On Line, 2019 In recent years, methods of computational authorship attribution have offered promising results for the reattribution of classical texts. We use and further develop these methods to verify the authorship of several texts belonging or related to the ...
Raija Vainio +6 more
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Meta-Heuristic Guided Feature Optimization for Enhanced Authorship Attribution in Java Source Code
IEEE Access, 2023 Source code authorship attribution is the task of identifying who develops the code based on learning based on the programmer style. It is one of the critical activities which used extensively in different aspects such as computer security, computer law,
Bilal Al-Ahmad +8 more
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Unsupervised Text Style Transfer for Authorship Obfuscation in Bahasa Indonesia
IJCCS (Indonesian Journal of Computing and Cybernetics Systems), 2023 Authorship attribution is an NLP task to identify the author of a text based on stylometric analysis. On the other hand, authorship obfuscation aims to protect against authorship attribution by modifying a text’s style.
Yunita Sari, Fadhlan Pasyah Al Faridzi
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Rhythm-based authorship recognition in syllabic and accentual-syllabic verse
Literatura: Teoría, Historia, Crítica, 2023 This contribution explores the extent to which rhythm-based features of poetic texts can contribute meaningfully to authorship recognition. We show that, although a binary categorization of languages as syllabic vs.
Petr Plecháč, David J. Birnbaum
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Using Data Compression to Build a Method for Statistically Verified Attribution of Literary Texts
Entropy, 2021 We consider the problems of the authorship of literary texts in the framework of the quantitative study of literature. This article proposes a methodology for authorship attribution of literary texts based on the use of data compressors.
Boris Ryabko, Nadezhda Savina
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Digitális Bölcsészet, 2021 Petr Plecháč. Versification and Authorship Attribution. Prague: Institute of Czech Literature – Karolinum Press, 2021. ISBN 9788024648712. 98 oldal. https://doi.org/10.14712/9788024648903 Online verzió: https://versologie.cz/versification-authorship/
Levente Seláf
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