Aim. The present research aims to identify the mechanisms of processing intensional linguistic deviations by large language models (LLMs) and to analyse their linguocreative strategies in digital discourse. The aim of the work is to develop a theoretical model explaining cognitive algorithms for recognising and transforming deviations in artificial intelligence systems.
Methodology. An integrated approach including corpus analysis of a diachronic slice of digital discourse (2019–2024), experimental prompts with controlled deviations for GPT-4, Gemini 1.5 and Claude 3 models, and discourse analysis of AI speech acts using a three-level annotation scale (replication/amplification/normalisation) was used as a methodological framework.
Results. The results of the research supported the hypothesis of the statistical nature of LLM linguocreativity, revealing a three-stage model of deviation processing: recognition through attention mechanisms, classification by degree of deviation from the norm, and strategic choice of response. The paradox of ‘creative conformism’ is established, manifested in AI's tendency to hypernormalise initially marginal linguistic innovations. Of particular practical interest are the documented effects of circulation of AI-generated neologisms in social media and the formation of ‘artificial linguistic taste’.
Research implications. The theoretical significance of the work lies in the development of the apparatus of cognitive linguistics of digital discourse and clarification of the ontology of intensional deviations. Practical value is related to applications in the field of NLP-systems development, digital linguodidactics and prediction of language changes. The data obtained opens prospects for further studying culturally specific deviations in multilingual models and developing metrics for assessing the linguocreative potential of AI.

Aim. The goal of this study is to identify the frequency of use of verbalizers of the concept “Russophobia” on the basis of a review of contemporary political discourse. The concept labeled by the word “Russophobia” is currently becoming linguocultural, reflecting changes in the linguistic pictures of the world, as it is present in texts in English, German, French, Spanish and many other languages.
Metodology. The main content of the study is the analysis of semantic filling of the concept of “Russophobia” with verbal means of the Russian language for further study of this concept in foreign languages. The descriptive method for depicting the Russian mass media texts was used in order to select verbalizers to create a methodology for the study of this concept in foreign languages.
Results. A methodology for analyzing new, emerging linguocultural concepts is provided. It is assumed that this methodology can be applied for similar analysis in other languages.
Research implications. The theoretical significance of the conducted research can be evaluated as a certain contribution to the theory of semantic field, to the theory of general lexicology, to the theory of neologisms. The practical value of the conducted research is determined by the possibility of using the created methodology to analyze new semantic fields, as well as the possibility of applying the theoretical and linguistic material and the obtained results of its analysis in the courses of Language Theory, General Lexicology, Sociolinguistics, Pragmalinguistics, Theory of Intercultural Communication.

Aim. Analysis of linguistic and linguacultural features of Russian and Chinese names of caves.
Methodology. The following methods are used in this work: descriptive method; content analysis method used to systematize the names of caves; comparative method; quantitative-statistical methodology, cognitive analysis, which helps to identify cultural meanings embedded in language units, as well as to understand how culture influences language use and vice versa; cultural-historical analysis.
Results. Comparative linguistic analysis of speleonyms in terms of their structure and semantics has been carried out; linguacultural specificity has been revealed.
Research implications. The article compares Russian and Chinese names of caves, which contain information about the history, culture of the people and natural features of the two countries, which may be interesting for compiling tourist and speleological routes, as well as the results can be used in educational programs in linguistics, cultural studies and geography to study the relationship between language and culture

Aim. The purpose of the research is to identify the degree of relevance and the efficiency of using ontolinguistic approaches in translating legal terminology in the context of the children's film genre.
Methodology. The issue of the intercultural transmission of a legal term in the children's film genre is considered on the basis of the methods of scientific description, comparative, translation, contextual-semantic, typological, cultural, stylistic, as well as ontolinguistic analysis.
Results. The main translation difficulties that arise when working with children's film text are highlighted, such as the translation of a term in a song, abbreviations, anthroponyms, or a component of a language game. Conclusions are drawn about translation decisions when transferring or refusing to transfer the legal term used in the children's film text.
Research implications. The theoretical significance of the work can be seen through scientific description of the use of the main provisions of ontolinguistics in the process of interlanguage transformation of legal terminology. This approach makes it possible to expand the understanding of translation of industry terminology. It also helps to understand the system of implementing additional translation tools in solving translation tasks aimed at the recipient of a translation product presented not only by an adult but also by a children's audience.

Aim. This article explores linguistic epistemology in the context of text generation by neural network models based on artificial intelligence.
Methodology. The study analyzes the artificial text of the project “Autobiography of a Neural Network” (2023) using content analysis and a linguo-cognitive approach involving quantitative metaphor analysis and conceptual schema modeling.
Results. The research shows that the linguistic epistemology of generation is defined by a principle that combines the functions of a neural network algorithm with the cognitive settings of the subject. Conceptual metaphors of cognitive functions “humanize” the generative agent, allowing it to imitate cognitive processes and create new forms of knowledge representation based on the analysis of training texts.
Research implications. Generated texts construct a simulation of epistemic processes through systematic metaphors and anthropomorphization strategies. The research findings can be applied to AI interface design and UX enhancement, critical discourse analysis of manipulation strategies in text generation processes.

Aim is to identify the mechanism of speech influence implemented through evaluative adjectives in Russian and English-language military-political discourse.
Methodology. The methodological framework of the research is based on discourse analysis with elements of pragmalinguistic and semantic approaches. The empirical material includes official public speeches by the Minister of Foreign Affairs of the Russian Federation S. V. Lavrov, and the U.S. Secretary of State A. Blinken, media communications from Telegram channels, and a social media posts. The analysis involved identifying evaluative adjectives, determining their semantic polarity, classifying them according to N. D. Arutyunova’s typology, establishing emotional connotations based on L. G. Babenko’s thesaurus, and interpreting communicative strategies and tactics following O. N. Parshina’s model with consideration of factors of communicative effectiveness.
Results. It is established that evaluative adjectives function as a significant element of the influencing mechanism by shaping the interpretive frame of utterances. In the analyzed discourse instances, adjectives serve to enhance semantic emphasis, provide emotional marking, construct the opposition of “us” vs. “them,” and contribute to strategies of argumentation, discrediting, and emotional framing. Their use correlates with the pragmatic aim of shaping a predetermined perception of political events.
Research implications. The findings contribute to the development of methodology for analyzing military-political discourse, particularly within the scope of strategic communication. The proposed algorithm for analyzing evaluative lexis may be applied in linguistic expertise of media texts, and in studies on political linguistics, conflict rhetoric, and media rhetoric.

Aim is to interpret linguistic and multichannel representations of the name of the legendary Argentine football player Diego Maradona, to prove its status as a precedent name and precedent phenomenon, to analyze the realization of the name Maradona based on the data of language corpora and to interpret its associative field.
Methodology. The main research methods are functional-semantic, interpretative, linguacultural analysis, cultural commentary.
Results. The author highlights that the name Diego Maradona has an essential symbolic and cultural meaning both for football fans and for representatives of various languages and cultures. In the semiosphere of the Argentine national variant of the Spanish language, the name Diego Maradona acts as a symbol of the identity of Argentines, and in the world space of languages and cultures, it simultaneously motivates the designation of new precedent phenomena.
Research implications. The article develops the paradigm of precedent philology, and its results can be applied in teaching of Spanish with an in-depth study of culture.  

Aim. The identifying how human attitudes towards animals, which are an important element of the German value picture of the world, are reflected in the language at the lexical level and form the axiological potential of words.
Methodology. Based on lexicographic sources and texts from the German-language media space, a corpus of empirical material was compiled, including lexical units with the component “SCHWEIN”, and analyzed using the methods of component analysis, discourse analysis and the modeling method.
Results. It has been proven that the anthropocentrism of the language system is manifested in the semantics of words and phraseological units with the component “SCHWEIN”; a model for describing the meaning of zoolexemes has been developed, comprising three components: animalistic, anthroponymic, and a relational component; a systematization of German lexical units with the “SCHWEIN” component based on the content of the identified relationships is proposed, including five groups; it has been established that the direction of the relations – emphasizing the benefit for humans or animals – determines the pragmatic potential of animalistic lexical units.
Research implications of this study lies in the development of animalistic themes within the framework of a new interdisciplinary direction – ecolinguistics. It also contributes to the expansion of existing methods of describing zoolexemes and the application of the developed model to analyze the semantic and pragmatic features of other zoolexemes. In addition, the study enriches our understanding of the German ethnic group's value system.

Aim is to clarify the content of the concept of ‘language stereotype’ and to present the classification of linguistic stereotypes of the French language.
Methodology. The main content of the study is the analysis of language stereotypes of the French language in the work ‘Le Jacassin’ by Pierre Daninos. The main criteria for determining the type of stereotype are stability (a fixed structure and reproducibility), and idiomaticity, the semantic conjugacy of the elements of expression.
Results. The conducted analysis allowed us to identify six categories of units related to linguistic stereotypes: idioms, clichés, collocations, speech stereotypes, quotations and connotative stereotypes.
Research implications. The research suggests the definition of a linguistic stereotype and its distinction from related concepts (cliché, stamp, etc.).

Aim. The purpose of the research is to identify the features of the realization of the category of the author's image as an absolute phenomenon within the framework of the German-language popular science text.
Methodology. The article compares popular science texts created by science popularizers and those created using artificial intelligence (AI). In order to identify specific features of the image of the author of a popular scientific text using general scientific research methods (analysis, synthesis, comparison, analogy), as well as methods of evaluating and processing information that involve observing linguistic and non-linguistic phenomena in their dynamics, texts of this type, published in German-language online publications on various topics in 2024–2025, were commented on.
Results. The conducted linguistic analysis showed that the image of the author is an integral category of popular science text. However, AI-generated text eliminates the emotional and evaluative component, thereby reducing the reader's level of interest and trust in the information provided, which contradicts the main purpose of popular science text.
Research implications. The theoretical significance of the work lies in expanding the methodological basis for studying polycode texts in terms of an integrated approach to analyzing the functioning of verbal and non-verbal means in the context of expressing the author’s image and in enriching the methodological tools of the German-language text. The practical significance lies in the fact that the materials of this study can be applied in scientific research on current issues of German studies and general linguistics, directly related to the linguistics of the text, as well as in the educational process for teachers of the relevant linguistic disciplines.