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A Methodology of Using a Concordancer and Table Processor for Authorship Attribution

A Methodology of Using a Concordancer and Table Processor for Authorship Attribution The paper proposes an original methodology of authorship attribution based on the deviations from Zipf distribution and statistical data obtained with the help of a concordance program and computations performed in a table processor. The methodology involves finding distances between input texts and a reference text basing on deviations of stop-words frequencies. The results that have been achieved prove that the proposed methodology allows performing efficient authorship attribution and that it can be used in the educational process to develop student skills and competencies pertaining to natural language processing. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Automatic Documentation and Mathematical Linguistics Springer Journals

A Methodology of Using a Concordancer and Table Processor for Authorship Attribution

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References (13)

Publisher
Springer Journals
Copyright
Copyright © Allerton Press, Inc. 2020. ISSN 0005-1055, Automatic Documentation and Mathematical Linguistics, 2020, Vol. 54, No. 5, pp. 269–274. © Allerton Press, Inc., 2020. Russian Text © The Author(s), 2020, published in Nauchno-Tekhnicheskaya Informatsiya, Seriya 2: Informatsionnye Protsessy i Sistemy, 2020, No. 10, pp. 28–33.
ISSN
0005-1055
eISSN
1934-8371
DOI
10.3103/S0005105520050088
Publisher site
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Abstract

The paper proposes an original methodology of authorship attribution based on the deviations from Zipf distribution and statistical data obtained with the help of a concordance program and computations performed in a table processor. The methodology involves finding distances between input texts and a reference text basing on deviations of stop-words frequencies. The results that have been achieved prove that the proposed methodology allows performing efficient authorship attribution and that it can be used in the educational process to develop student skills and competencies pertaining to natural language processing.

Journal

Automatic Documentation and Mathematical Linguistics – Springer Journals

Published: Dec 11, 2020

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