Рубрика: CONTEMPORARY TRENDS IN LINGUISTICS
Article: PDF
DOI: 10.26170/2071-2405-2026-31-3-98-109
Abstract: This article examines lexical means of argumentation in Eugene Vodolazkin’s novel Laurus using different methods of working with large language models (LLMs). The object of the study comprises lexico-discursive units that perform an argumentative function in specific speech situations and participate in the justification of evaluation, action, or moral-religious idea, in the marking of the source and degree of reliability of knowledge, and in the interpretation of events. The aim of the study is to identify and describe the lexico-discursive units with an argumentative function on the basis of four fragments of the novel representing different speech situations. The methodology combines functional-semantic, discourse, and contextual analysis with preliminary LLM-assisted text processing and subsequent manual linguistic verification according to the following criteria: the unit’s inclusion in the corpus in question, quotation accuracy, and its syntactic role and argumentative function. The study is qualitative and fragment-based in nature and does not purport to provide a statistical description of the novel as a whole. The findings are therefore limited by the composition of the corpus, the wording of the instruction used, and the conditions of the preliminary LLM-assisted analysis. The study singles out three functional groups: argumentative markers proper, epistemic-modal and rhetorical-pragmatic constructions, and contextually argumentative lexical units. It is shown that, in the analyzed fragments, the justification of evaluation and moral-religious positions, as well as the marking of the source and degree of reliability of knowledge, is realized not only through explicit causal, consequential, and inferential markers, but also through lexical units the argumentative function of which emerges in a particular context. The theoretical significance of the study lies in distinguishing between direct and context-dependent realizations of the argumentative function of linguistic units in literary texts and in refining the criteria for their functional classification in specific speech situations. The practical significance of the findings is associated with their potential application to linguistic analysis of literary discourse, the development of LLM-assisted procedures of annotating textual material, and the development of university courses in text linguistics, discourse analysis, and digital humanities. It has been found that, within the given corpus and under a unified instruction, the three LLM interfaces used in the study exhibited different types of limitations: crossing the boundaries of the corpus, a predominant orientation toward explicit markers, and the overinclusive classification of thematic or emotionally evaluative units as argumentative.
Key words: Russian literature; Russian writers; literary creative activity; literary genres; novels; literary texts; literary discourse; argumentation; E. G. Vodolazkin; large language models; argumentative function; lexico-discursive means; epistemic indicators; LLM tools; manual verification; speech situations; hagiographical discourse

Для цитирования:

Митрофанова, И. И. Анализ лексических средств аргументации в романе Е. Г. Водолазкина «Лавр» с применением больших языковых моделей / И. И. Митрофанова, П. Гун // Philological Class. – 2026. – Vol. 31 • No. 3. – С. 98-109. DOI 10.26170/2071-2405-2026-31-3-98-109.

For citation

Mitrofanova, I. I., Ping, Gong. (2026). An Analysis of the Lexical Means of Argumentation in E. G. Vodolazkin’s Novel Laurus Using LLM Tools. In Philological Class. 2026. Vol. 31 • No. 3. P. 98-109. DOI 10.26170/2071-2405-2026-31-3-98-109.

About the author(s) :

Irina I. Mitrofanova

RUDN University (Moscow, Russian Federation)

ORCID ID: https://orcid.org/0000-0003-0532-8841

Ping Gong

RUDN University (Moscow, Russian Federation)

ORCID ID: https://orcid.org/0009-0009-6062-5575

Publication Timeline:

Date of receipt: 21.06.2026; date of publication: 31.10.2026

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