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References

  1. AMELIN, Konstantin – GRANICHIN, Oleg – KIZHAEVA, Natalia – VOLKOVICH, Zeev (2018): Patterning of writing style evolution by means of dynamic similarity. In: Pattern Recognition, Vol. 77, pp. 45–64.
  2. BAAYEN, Harald – VAN HALTEREN, Hans – TWEEDIE, Fiona (1996): Outside the cave of shadows: using syntactic annotation to enhance authorship attribution. In: Literary and Linguistic Computing, Vol. 11, No. 3, pp. 121–132.
  3. BENEŠOVÁ, Martina – FALTÝNEK, Dan – ZÁMEČNÍK, Lukáš Hadwiger (2015): Menzerath-Altmann Law in differently segmented text. In: TUZZI, Ariuna, BENEŠOVÁ, Martina, MAČUTEK, Ján (eds): Recent Contributions to Quantitative Linguistics. Berlin/Boston: De Gruyter Mouton, pp. 27–40.
  4. BINONGO, José Nilo G. (2003): Who wrote the 15th book of Oz? An application of multivariate analysis to authorship attribution. In: Chance, Vol. 16, No. 2, pp. 9–17.
  5. BLOOMFIELD, Leonard (1933): Language. New York: Henry Holt & Co. 466 p. CATFORD, John C. (2002): A Practical Introduction to Phonetics. Oxford: Oxford University Press. 320 p.
  6. CHASKI, Carol E. (2001): Empirical evaluations of language-based author identification techniques. In: The International Journal of Speech, Language and the Law, Vol. 8, No. 1, pp. 1–65.
  7. DE BEAUGRANDE, Robert A. – DRESSLER, Wolfgang (1981): Introduction to Text Linguistics. London – New York: Longman. 286 p.
  8. DE SAUSSURE, Ferdinand (1966): Course in General Linguistics. New York – Toronto – London: McGraw-Hill Book Company. 240 p.
  9. DIEDERICH, Joachim – KINDERMANN, Jörg – EDDA, Leopold – PAASS, Gerhard (2003): Authorship attribution with support vector machines. In: Applied Intelligence, Vol. 19, No. 1–2, pp. 109–123.
  10. DOLNÍK, Juraj (2021): Vertikálne a horizontálne jazykové potreby. In: Jazykovedný časopis, Vol. 72, No. 1, pp. 21–36.
  11. DOLNÍK, Juraj (2019): Stratifikácia používateľov jazyka. In: Jazykovedný časopis, Vol. 70, No. 3, pp. 515–528.
  12. DOLNÍK, Juraj (2018): Jazykové znalosti a ovládanie jazyka. In: Jazykovedný časopis, Vol. 69, No. 1, pp. 77–89.
  13. EVERT, Stefan – PROISL, Thomas – JANNIDIS, Fotis – REGER, Isabella – PIELSTRÖM, Steffen – SCHÖCH – Christof – VITT, Thorsten (2017): Understanding and explaining Delta measures for authorship attribution. In: Digital Scholarship in the Humanities, Vol. 32, No. 2, pp. 4–16.
  14. FAIRCLOUGH, Norman (1995): Critical Discourse Analysis: The Critical Study of Language. London: Longman. 265 p.
  15. FALTÝNEK, Dan (2020): Celkom iste sa príde na to, že niektoré slová sa opakujú: Horeckého hypersyntax. In: Jazykovedný časopis, Vol. 71, No. 2, pp. 185–196.
  16. FALTÝNEK, Dan – BENEŠOVÁ, Martina – MATLACH, Vladimír – KUČERA, Ondřej (2023): System and method for adapting text-based data structures to text samples. United States Patent and Trademark Office: US 17/809 130; patent US 11 797 753 B3.
  17. FALTÝNEK, Dan – LACKOVÁ, Ľudmila – OWSIANKOVÁ, Hana (2020): Once again about the hapax grammar – Epigenetic Linguistics. In: Linguistic Frontiers, Vol. 3, No. 1, pp. 23–27.
  18. FALTÝNEK, Dan – MATLACH, Vladimír (2021): Hapax remains: Regularity of low--frequency words in authorial text. In: Digital Scholarship in the Humanities, Vol. 37, No. 3, pp. 693–715.
  19. FALTÝNEK, Dan – BENEŠOVÁ, Martina – KUČERA, Ondřej (2025): Cloakspeech. Olomouc: Palacký University. (software).
  20. FENGXIANG, Fan (2010): An asymptotic model for the English hapax/vocabulary ratio. In: Computational Linguistics, Vol. 36, No. 4, pp. 631–637.
  21. FORSTER, Kenneth I. (1976): Accessing the mental lexicon. In: F. Wales – E. Walker (eds): New Approaches to Language Mechanisms. Amsterdam: North Holland, pp. 257–287.
  22. GERACE, Thomas – BARBOUR, Russell (2017): Computer method and apparatus for targeting advertising. United States Patent Office, US 11120476 B2.
  23. GRZYBEK, Peter (2007): History and methodology of word length studies: The state of the art. In: P. Grzybek (ed): Contributions to the Science of Text and Language. Dordrecht: Springer, pp. 15–90.
  24. HALLIDAY, Michael A. K. – HASAN, Ruqaiya (1976): Cohesion in English. London: Longman. 390 p.
  25. HASPELMATH, Martin – SIMS, Andrea (2010): Understanding Morphology. London: Routledge. 384 p.
  26. HŘEBÍČEK, Luděk (1989): The Menzerath-Altmann Law on the semantic level. In: Glottometrika, Vol. 11, pp. 47–55.
  27. JAKOBSON, Roman – FANT, C. Gunnar M. – HALLE, Morris (1952): Preliminaries to speech analysis. Technical Report, No. 13: Acoustics Laboratory, M.I.T. 58 p.
  28. JONES, Sparck K. (1972): A statistical interpretation of term specificity and its application in retrieval. In: Journal of Documentation, Vol. 28, pp. 11–21.
  29. JUOLA, Patrick (2008): Authorship attribution. In: Foundations and Trends in Information Retrieval, Vol. 1, No. 3, pp. 233–334.
  30. KOPPEL, Moshe – SCHLER, Jonathan – ARGAMON, Shlomo (2009): Computational methods in authorship attribution. In: Journal of the Association for Information Science and Technology, Vol. 60, pp. 9–26.
  31. LARDILLEUX, Adrien – LEPAGE, Yves (2007): The contribution of the notion of hapax legomena to word alignment. In: The 3rd Language and Technology Conference (LTC’07). Poznań, pp. 458–462.
  32. MIKROS, George K. (2009): Content words in authorship attribution: an evaluation of stylometric features in a literary corpus. In: R. Köhler (ed): Studies in Quantitative Linguistics 5. Lüdenscheid: RAM, pp. 61–75.
  33. ORGOŇOVÁ, Oľga – BOHUNICKÁ, Alena – KAZHARNOVICH, Marina (2023): Sociálna inklúzia a používanie jazyka. Bratislava: Comenius University. 209 p.
  34. PENNEBAKER, James W. – BOYD, Ryan L. – JORDAN, Kayla – BLACKBURN, Kate (2015): The Development and Psychometric Properties of LIWC2015. Austin, TX: University of Texas at Austin. 26 p.
  35. PRITCHARD, Jonathan K. – STEPHENS, Matthew – DONNELLY, Peter (2000): Inference of population structure using multilocus genotype data. In: Genetics, Vol. 155, No. 2, pp. 945–959.
  36. ROY, Rishiraj S. – PRASAAD, Guna J. – PADMAKUMAR, Aishwarya – KUMARAGURU, Ponnurangam (2014): Linguistic Personalization of Messages for Targeted Campaigns. United States Patent Office, US 20160171560 A1.
  37. ROY, Rishiraj S. – PADMAKUMAR, Aishwarya – JEGANATHAN, Guna P. – KUMARAGURU, Ponnurangam (2015): Automated linguistic personalization of targeted marketing messages mining user-generated text on social media. In: A. Gelbukh (ed): Computational Linguistics and Intelligent Text Processing, CICLing 2015. Lecture Notes in Computer Science. Cham: Springer, pp. 203–224.
  38. RYBICKI, Jan – EDER, Maciej (2011): Deeper Delta across genres and languages: do we really need the most frequent words? In: Literary and Linguistic Computing, Vol. 26, No. 3, pp. 315–321.
  39. SADILLOEVNA, Dilfusa F. – ANVAROVNA, Mavlyuda M. – FATTOXOVICH, Furgat D. – BAXRONOVICH, Barat N. (2020): Dimensions and levels of linguistic analysis. In: International Journal of Psychosocial Rehabilitation, Vol. 24, No. 3, pp. 394–403.
  40. SAVOY, Jacques (2012): Authorship attribution based on specific vocabulary. In: ACM Transactions on Information Systems, Vol. 30, No. 2, Article No. 12, pp. 1–30.
  41. TRUBETZKOY, Nikolaj S. (1969): Principles of Phonology. Berkeley – London: University of California Press. 344 p.
  42. VAN DIJK, Teun A. (2015): Critical discourse analysis. In: D. Tannen – H. E. Hamilton – D. Schiffrin (eds): The Handbook of Discourse Analysis. 2nd ed. West Sussex: John Wiley & Sons, Inc., pp. 466–485.
  43. VAN DIJK, Teun A. (2008): Society in Discourse. How Context Controls Text and Talk. Cambridge: Cambridge University Press. 287 p.
DOI: https://doi.org/10.2478/jazcas-2025-0058 | Journal eISSN: 1338-4287 | Journal ISSN: 0021-5597
Language: English
Page range: 752 - 771
Published on: Jan 20, 2026
In partnership with: Paradigm Publishing Services
Publication frequency: 2 issues per year

© 2026 Dan Faltýnek, Martina Benešová, Ondřej Kučera, published by Slovak Academy of Sciences, Ľudovít Štúr Institute of Linguistics
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