Skip to main content
SpringerLink
Log in

Authorship and Style Attribution by Statistical Methods of Style Differentiation on the Phonological Level

  • Conference paper
  • First Online:
Advances in Intelligent Systems and Computing III (CSIT 2018)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 871))

Included in the following conference series:

Abstract

A novel approach to authorship and style attribution and differentiation on the phonological level has been suggested. Each style is considered a statistical system the elements of which are mean frequencies of groups of consonants chosen as a style attribution and differentiation criterion. Statistical analogues of the phonological subsystems of style systems have been obtained by mathematical statistical methods (the hypothesis, ranking and style distance determination methods). Interrelations of style, language and individual manner of writing factors as well as the style-differentiating capability of eight groups of consonants (labial, forelingual, mediolingual, backlingual, nasal, constrictive, occlusive and sonorant) have been established. The results of the research show that only the three methods combined above allow to fully characterize each style (belles-lettres, colloquial and scientific) under study and establish authorship of a text. The closeness and distance established between the compared styles have been shown in the three models proposed.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 169.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 219.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Alamothoda, S.M.: Phonostatistics and phonotactics of the syllable in modern Persian. Series: Studia Orientalia. Finnish Oriental Society, Helsinki (2000)

    Google Scholar 

  2. Altmann, G., Levickij, V., Perebyinis, V.: Problems of Quantitative Linguistics. Ruta, Chernivtsy (2005)

    Google Scholar 

  3. Argamon, S., Koppel, M., Pennebaker, J., Schler, J.: Automatically profiling the author of an anonymous text. Commun. ACM 52(2), 119–123 (2009)

    Article  Google Scholar 

  4. Bisikalo, O.V., Vysotska, V.A.: Sentence syntactic analysis application to keywords identification Ukrainian texts. Radio Electron. Comput. Sci. Control 3(38), 54–65 (2016)

    Google Scholar 

  5. Everitt, B.S.: A Handbook of Statistical Analyses Using R. Chapman and Hall/CRC, London/Boca Raton (2009)

    MATH  Google Scholar 

  6. Gomez, P.C.: Statistical methods in language and linguistic research. University of Murcia, Spain (2013)

    Google Scholar 

  7. Gries, Th.S.: Statistics for linguistics with R. Mouton Textbook (2009)

    Google Scholar 

  8. Juala, P.: Authorship attribution, foundations and trends(R) in information retrieval. 1(3), 233–334 (2008)

    Google Scholar 

  9. Kapociute-Dzikiene, J., Utka, F., Sarkute, L.: Authorship attribution and author profiling of Lithuanian literary texts. In: Proceedings of the 5th Workshop on Balto-Slavic Natural Language Processing, Hissac, Bulgaria, pp. 96–105 (2015)

    Google Scholar 

  10. Khomytska, I., Teslyuk, V.: The method of statistical analysis of the scientific, colloquial, belles-lettres and newspaper styles on the phonological level. In: Advances in Intelligent Systems and Computing, vol. 512, pp. 149–163 (2016)

    Google Scholar 

  11. Khomytska, I., Teslyuk, V.: Modelling of phonostatistical structures of the colloquial and newspaper styles in English sonorant phoneme group. In: Proceedings of the XIIth Scientific and Technical Conference, CSIT, Lviv, pp. 67–70 (2017)

    Google Scholar 

  12. Kingston, J., Baayen, H., Clopper, C.G.: Statistical analyses: statistics in laboratory phonology. Mixed-effects models clustering and classification methods. Oxford (2011)

    Google Scholar 

  13. Koppel, M., Schler, J., Argamon, S.: Computational methods in authorship attribution. J. Assoc. Inf. Sci. Technol. 60(1), 9–26 (2009)

    Article  Google Scholar 

  14. Kornai, A.: A Mathematical Linguistics. Springer, Heidelberg (2008)

    Book  Google Scholar 

  15. Lytvyn, V.: Development of a method for the recognition of author’s style in the Ukrainian language texts based on linguometry, stylemetry and glottochronology. East. Eur. J. Enterp. Technol. 4/2(88), 10–18 (2017)

    Google Scholar 

  16. Mines, M.A., Hanson, B.F., Shoup, J.E.: Frequency of occurrence of phonemes in conversational English. Lang. Speech 21(3), 221–241 (1978)

    Article  Google Scholar 

  17. Roberts, A.H.: A Statistical Linguistic Analysis of American English. Mouton, The Hague (1965)

    Google Scholar 

  18. Shakhovska, N.B., Noha, R.Y.: Methods and tools for text analysis of publications to study the functioning of scientific schools. J. Autom. Inf. Sci. 47(12)

    Article  Google Scholar 

  19. Sovkowiak, W.: On the phonostatistics of English onomatopoeia. Adam Mickiewicz University, Poznan (1990)

    Google Scholar 

  20. Stamatatos, E.: A survey of modern attribution methods. J. Assoc. Inf. Sci. Technol. 60(3), 538–556 (2009)

    Article  Google Scholar 

  21. Zhezhnych, P., Markiv, O.: A linguistic method of web-site content comparison with tourism documentation objects. In: Proceedings of the XIIth Scientific and Technical Conference, CSIT, Lviv, pp. 340–343 (2017)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Lviv Polytechnic National University, Lviv, 79013, Ukraine

    Iryna Khomytska & Vasyl Teslyuk

Authors
  1. Iryna Khomytska
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Vasyl Teslyuk
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Iryna Khomytska .

Editor information

Editors and Affiliations

  1. Lviv Polytechnic National University, Lviv, Ukraine

    Natalia Shakhovska

  2. Institute of Computer Science and Information Technologies, Lviv Polytechnic National University, Lviv, Ukraine

    Mykola O. Medykovskyy

Rights and permissions

Reprints and permissions

Copyright information

© 2019 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Khomytska, I., Teslyuk, V. (2019). Authorship and Style Attribution by Statistical Methods of Style Differentiation on the Phonological Level. In: Shakhovska, N., Medykovskyy, M. (eds) Advances in Intelligent Systems and Computing III. CSIT 2018. Advances in Intelligent Systems and Computing, vol 871. Springer, Cham. https://doi.org/10.1007/978-3-030-01069-0_8

Download citation

Publish with us

Policies and ethics

Search

Navigation