Proceedings of International Conference on Applied Innovation in IT  ·  2026/04/22  ·  Vol. 14  ·  Issue 2  ·  pp. 87–93
Corpus-Based Data Processing of Terminological Systems in Linguistic Theory
Tetiana Hromko, Tetiana Kovalevska, Hanna Truba and Aryna Frumkina
The article presents a corpus-oriented analysis of the terminological dominants of linguistic theory based on publications of the Odesa Linguistic School, which makes it possible to interpret its scholarly discourse as an institutionally coherent and quantitatively verified body of knowledge. The study is grounded in a combination of corpus-linguistic methods and linguistic data analysis, within which scholarly texts are treated as a structured informational resource. The corpus analysis encompasses the frequency-based parametrization of terms, the identification of their keyness, concordance analysis of usage contexts, modelling of collocational relations, and a diachronic assessment of the dynamics of the terminological system. The totality of these procedures provides a formalized description of the School’s metalanguage and its internal structural organization. The results demonstrate the presence of a stable invariant core of the terminological system, formed by basic and derivative terms of linguistic theory, as well as a dynamic periphery associated with the development of specialized subfields. Of particular analytical value is the subcorpus of suggestive linguistics, which emerges as an autonomous, statistically verified, and methodologically mature segment of the institutional discourse. The applied approach ensures the institutional validation of the Odesa Linguuistic School as an integral scholarly formation with its own metalanguage and a controlled innovative dynamics, and demonstrates the effectiveness of corpus-based and quantitative methods for the analysis of collective scholarly discourses in contemporary humanities research.
Data Analysis Corpus-based Modelling Quantitative Linguistic Analysis Institutional Discourse Terminological System Suggestive Linguistics Odesa Linguistic School.
References
  1. A. O’Keeffe and M. McCarthy, Eds., The Routledge Handbook of Corpus Linguistics, 2nd ed. London, U.K.; New York, NY, USA: Routledge, 2022.
  2. J. Schlüter and O. Schützler, Eds., Data and Methods in Corpus Linguistics: Comparative Approaches. Cambridge, U.K.: Cambridge Univ. Press, 2022.
  3. K. Hyland, Academic Discourse: English in a Global Context. London, U.K.: Continuum, 2011.
  4. J. Flowerdew, Corpus-based Analyses of the Problem-Solution Pattern. Amsterdam, Netherlands: John Benjamins, 2008.
  5. S. Th. Gries, Frequency, Dispersion, Association, and Keyness: Revising and Tupleizing Corpus-Linguistic Measures, Stud. Corpus Linguistics, vol. 115. Amsterdam, Netherlands; Philadelphia, PA, USA: John Benjamins, 2024.
  6. P. Faber, Ed., Theoretical Perspectives on Terminology. Amsterdam, Netherlands; Philadelphia, PA, USA: John Benjamins, 2022.
  7. I. Kosem, R. Lew, C. Müller-Spitzer, M. Ribeiro Silveira, and S. Wolfer, Eds., Electronic Lexicography in the 21st Century. Brno, Czech Republic: Lexical Computing CZ, 2022.
  8. T. Yu. Kovalevska, Ed., Odeska linhvistychna shkola: koordynaty suchasnykh poshukiv. Odesa, Ukraine: vydavets Bukaiev Vadym Viktorovych, 2014 (in Ukrainian).
  9. T. Hromko and L. Panchuk, “Multidimensional model of Sebastian Unger’s idiostyle in poetic creativity: Corpus analysis and NLP methods,” in Proc. Int. Conf. Appl. Innov. IT, vol. 13, no. 1, pp. 109–117, 2025, doi: 10.25673/119222.
  10. K. Hyland, Disciplinary Discourses: Social Interactions in Academic Writing. Ann Arbor, MI, USA: Univ. Michigan Press, 2004.
  11. A. Kilgarriff, P. Rychly, P. Smrz, and D. Tugwell, “The Sketch Engine,” Information Technology, 2004.
ICAIIT 2026
International Conference on Applied Innovation in IT
Bringing together researchers, engineers and practitioners to share advances in applied information technology.
Submission deadline
September 29, 2026
Paper acceptance
November 2, 2026
Journal publication
November 30, 2026
Next conference
March 11, 2027 · Köthen, Germany
© 2026 ICAIIT · Anhalt University of Applied Sciences ISSN 2198-8005 (online)

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