FUNCTIONAL DISCOURSE ANALYSIS: MODELS OF FORMALIZATION AND STRUCTURIZATION

UDC 81’33

  • Barkovich Alexander Arkadievich − DSc (Philology), Associate Professor, Head of the Department of Informatics and Applied Linguistics. Minsk State Linguistic University (21, Zakharova str., 220034, Minsk, Republic of Belarus). E-mail: albark@tut.by.

Keywords: functional discourse analysis, model, formalization, structurization, metalexical significance, unified semantic field.

For citation: Barkovich A. A. Functional discourse analysis: models of formalization and structurization. Proceedings of BSTU, issue 4, Print- and Mediatechnologies, 2022, no. 2 (261), pp. 29–35 (In Russian). DOI: https://doi.org/10.52065/2520-6729-2022-261-2-29-35.

Abstract

The article is devoted to the consideration of the possibilities of discourse modeling in the aspect of its functionality. Functional discourse analysis makes it possible to create meta-descriptions that are objective and focused on the dynamics of modern communication in the context of its computer mediation. In view of the extensiveness of the linguistic representation of discourse, the expediency of complex modeling of discourse is substantiated. In this regard, the features of formalization and structurization of natural language material at the micro-, proper- and macro-levels of discourse analysis are considered. At each of these levels, functional models of formalization and structurization, as well as hybrid models of discourse analysis, are identified. A general functional metamodel of discourse analysis, structural models of metalexical significance and a unified semantic field are presented. The views about the prospects and potential for the development of modern discourse analysis are systematized.

References

  1. Barkovich A. Informational Linguistics: The New Communicational Reality. Newcastle upon Tyne, Cambridge Scholars Publishing. 2020. 271 p.
  2. Martynov V. V. Kibernetika. Semiotika. Lingvistika [Cybernetics. Semiotics. Linguistics]. Minsk, Nauka i tekhnika Publ., 1966. 147 p. (In Russian).
  3. Foucault M. The archeology of knowledge. London, Tavistock Publications, 1972. 218 p.
  4. Kibrik A. A. Analiz diskursa v kognitivnoy perspective. Dissertatsiya doktora filologicheskikh nauk [Discourse Analysis in a Cognitive Perspective. Dissertation DSc (Phylology)]. Moscow, 2003. 90 p. (In Russian).
  5. Dijk van T. A. Discourse and knowledge. The Routledge Handbook of Discourse Analysis; ed. J. P. Gee, M. Handford. London, Routledge Publ., 2012. Pp. 587–603.
  6. Schiffrin D. Approaches to Discourse. Oxford, Blackwell Publ., 1994. 470 р.
  7. Gee J. P. An introduction to discourse analysis: theory and method: 2nd ed. New York, Routledge Publ., 2005. 209 p.
  8. Gumperz J. Discourse strategies. Cambridge University Press, 1982. 225 p.
  9. Barkovich A. A. Internet-diskurs: komp’yuterno-oposredovannaya kommunikatsiya [Internet Discourse: Computer-Mediated Communication]. Moscow, Flinta, Science Publ., 2019. 288 р. (In Russian).
  10. González M. de los Á. G. et al. On the relatedness of functionalism and pragmatics. The Functional Perspective on Language and Discourse: Applications and implications; ed. M. de los Á. G. González. Amsterdam, John Benjamins B. V., 2014. Pp. 1–18.
  11. Dijk van T. Epizodicheskiye modeli v obrabotke diskursa. Yazyk. Poznaniye. Kommunikatsiya [Episodic Models in Discourse Processing. Language. Cognition. Communication]. Moscow, Progress Publ., 1989, pp. 68–110 (In Russian).
  12. Barkovich A. A. Possibilities of Discursive Modeling. Trudy BGTU [Proceedings of BSTU], issue 4, Print- i Mediatechnologies, 2021, no. 1, pp. 52–57 (In Russian).
  13. Sossjur F. de. Course of General Linguistics. Trudy po yazykoznaniyu [Works on Linguistics]. Moscow, Progress Publ., 1977. Pp. 31–273 (In Russian).
  14. Paducheva E. V. Dinamicheskiye modeli v semantike leksiki [Dynamic Models in the Semantics of Lexis]. Moscow, Yazyki slavyanskoy kul’tury Publ., 2004. 609 p. (In Russian).
  15. British National Corpus. Available at: http://www.natcorp.ox.ac.uk (accessed 30.06.2022).
  16. Shadbolt N., Hall W., Berners-Lee T. The Semantic Web Revisited. J. IEEE Intelligent Systems, 2006, vol. 21, issue 3, pp. 96–101.
  17. Russian National Corpus. Available at: http://www.ruscorpora.ru (accessed 30.06.2022) (In Russian).
  18. Apresyan Yu. D. Izbrannye trudy: v 2 t. T. 1: Leksicheskaya semantika. Sinonimicheskiye sredstva yazyka [Selected Works: 2 vol. Vol. 1: Lexical Semantics. Synonymous Means of Language]. Moscow, Yazyki russkoy kul’tury Publ., 1995. 472 p. (In Russian).
  19. Jurafsky D., Martin J. H. Speech and Language Processing. An Introduction to Natural Language Processing, Computational Linguistics and Speech Recognition: 2nd ed. Pearson Prentice Hall, 2009. 988 p.
19.07.2022