Discourseology of Linguistic Consciousness: Neural Network Modeling of Some Structural and Semantic Relationships

PSYCHOLINGUISTICS, 29(1), 193-207, 2021, https://doi.org/10.31470/2309-1797-2021-29-1-193-207

15 Pages Posted: 7 Jun 2021

See all articles by Vitalii Shymko

Vitalii Shymko

Hryhorii Skovoroda University in Pereiaslav

Date Written: March 24, 2021

Abstract

Objective. Study of the validity and reliability of the discourse approach for the psycholinguistic understanding of the nature, structure, and features of the linguistic consciousness functioning.

Materials & Methods. This paper analyzes artificial neural network models built on the corpus of texts, which were obtained in the process of experimental research of the coronavirus quarantine concept as a new category of linguistic consciousness. The methodology of feedforward artificial neural networks (multilayer perceptron) was used in order to assess the possibility of predicting the leading texts semantics based on the discourses ranks and their place in the respective linear sequence. Same baseline parameters were used to predict respondents' self-assessments of changes in their psychological well-being and in daily life routine during the quarantine, as well as to predict their preferences of the quarantine strategies. The study relied on basic ideas about discourse as a meaning constituted by the dispersion of other meanings (Foucault). The same dispersion mechanism realizes itself in interdiscourse interaction, forming a discursive formation at a higher level. The method of T-units (Hunt) was used to identify and count discourses in the texts. The ranking of discourses was provided based on the criterion of their semantic-syntactic autonomy.

Results. The conducted neural network modeling revealed a high accuracy in predicting the work of the linguistic consciousness functions associated with retrospective self-assessment and anticipatory imagination of the respondents. Another result of this modeling is a partial confirmation of the assumption concerning existence a relationship between the structural parameters of the discursive field (the rank of the discourses and their place in the respective linear sequence) and the leading semantics of the text.

Conclusions. A discourse approach to the study of linguistic consciousness, understanding of its structure and functioning features seems to be reasonably appropriate. The implementation of the approach presupposes the need to form a base of linguistic corpora with the inclusion in each text markup of such parameters as: the presence of specific discourses, their ranks, positions in the linear sequence of discourses.

Funding statement. This research did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors.

Competing interest statement. The author declares no conflict of interest.

Note: Funding Statement: This research did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors.

Declaration of Interests: The author declares no conflict of interest.

Keywords: discourse, discursive field, discourseology, linguistic consciousness, semantics, neural network, neural network modeling, corpus

Suggested Citation

Shymko, Vitalii, Discourseology of Linguistic Consciousness: Neural Network Modeling of Some Structural and Semantic Relationships (March 24, 2021). PSYCHOLINGUISTICS, 29(1), 193-207, 2021, https://doi.org/10.31470/2309-1797-2021-29-1-193-207, Available at SSRN: https://ssrn.com/abstract=3850119

Vitalii Shymko (Contact Author)

Hryhorii Skovoroda University in Pereiaslav ( email )

Ukraine

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