The ongoing transformation of language education is driven by the widespread adoption of automated language-learning systems that customize instruction for individual learners while also increasing motivation and interaction. The significance of this study lies in the need to enhance the quality of foreign language education amid societal digitalization and to assess how digital infrastructure influences the effectiveness of intelligent language platforms. The study aims to clarify the relationship between the development level of the digital educational ecosystem and the efficiency of automated language learning systems. The methodology includes secondary analysis of international statistical data, systematic literature reviews, and comparative analysis of scientific publications on integrating artificial intelligence into foreign language teaching. Results indicate that a well-developed digital infrastructure significantly boosts the potential of intelligent systems to develop communicative and cognitive skills, while low digital maturity limits their educational impact. The study offers a conceptual view of intelligent language platforms as tools for humanistic, personalized education that improve educational quality, promote inclusiveness, and facilitate intercultural interaction. Its practical significance involves guiding digital strategies, optimizing blended and remote learning models, and strengthening methodological support for foreign language instruction.
The article offers a detailed analysis of how the digital age has changed the linguistic personality, mainly altering the conditions, strategies, and tools of communication in modern society. Its importance comes from the rapid and widespread adoption of digital technology in almost every aspect of human activity, along with the growing influence of online communication on language use and identity formation. The main goal is to identify the consistent features of the virtual linguistic personality by comparing it with the offline, real-world linguistic personality. To do this, the article uses both theoretical and empirical research in linguistics, examines how methods for studying language and personality have developed, and compares real and virtual linguistic identities. Special focus is placed on the language resources used for self-expression in digital spaces and how individuals present themselves on social media. The findings show that the virtual linguistic personality is highly adaptable, creative, and expressive, developing new communication skills specific to online interactions. At the same time, the real-world linguistic personality also adjusts to the digital environment, forming new models of behavior and interaction. Ultimately, digital communication helps shape a new cultural type that influences and spreads innovative cultural practices.
The study explores how globalization and digital technologies shape the development of language norms in modern digital discourse. Its importance stems from the growing role of digital communication, where language acts as a key element of cultural identity and social cohesion. The goal is to analyze the links between a country's level of digital progress, the extent of language hybridization, and changes in sociolinguistic variability. The focus is on the digital language landscape within worldwide communication. The methodology combines systemic, institutional, econometric, and corpus-linguistic approaches, using official statistical databases and digital text collections from 2015 to 2024. Results show that during this period, the ICT Development Index increased from 5.32 to 7.41 points, the DESI Index went up from 48.7 to 70.4 points, and the percentage of Internet users rose from 58.2% to 84.3%. Additionally, the number of languages with digital presence grew from 312 to 387, while the share of English-language content decreased from 55.1% to 49.3%. The hybridization index also increased from 0.42 to 0.61, indicating the rise of a multi-centered or multi-node digital discourse. Hybridization refers both to the method and the level, including different languages or their components used within the same message (verbal or symbolic), as well as fully or partially mixed code messages; hashtags written in various languages or fonts; and other multimedia elements. This illustrates how diverse linguistic components are structured within a single unit, including multimedia messages that combine different codes in various fonts or formats across multiple levels of hybridity. The econometric model showed a very strong positive link between digital development and hybridization (r=0.82).
This work focuses on the linguistic and cultural analysis of translating German fiction into Ukrainian, using five modern translations from 2020 to 2025 with a total of 1, 540 pages across different genres: autobiographical prose (Stani & scaron;i & cacute;, S.), historical novel (Kehlmann, D.), fantasy (Gier, K.), short stories (Hermann, J.), and dystopia (Haushofer, M.). Through comparative analysis and the method of continuous selection, 187 fragments containing cultural elements were identified, including cultural realities (52), idioms (41), phraseological units (34), historical allusions (28), and dialectal expressions (32). Six translation strategies and 94 grammatical modifications necessary to maintain the stylistic features of the German originals were organized. This reveals that the dominant approaches-adaptation in translating cultural realities (30. 8%), transcription (26. 9%), and descriptive translation (23. 1%)-are characteristic of modern Ukrainian translators who have achieved a high level of functional equivalence. It was also found that the most effective strategies for translating idioms are functional equivalents (the most effective at 41. 5%) and calquing without explanation (which causes a loss of idiomaticity at 9. 9.8%). A total of 75 German-Ukrainian language differences were categorized into three types: lexical (18), conceptual (24), and cultural (33), demonstrating the significant cultural gap between the German-speaking and Ukrainian linguistic and cultural spheres. Syntactic rearrangements (38. 3%) and article compensation (29. 8%) emerged as the most common transformation forms, and five mechanisms were used to compensate for the absence of the definiteness category in Ukrainian. The article illustrates that successful German-Ukrainian literary translation must balance cultural accuracy and adaptive functionality, employing compensatory measures at lexical, phraseological, and syntactic levels. These findings add a systematic taxonomy of translation strategies to Ukrainian translation research, which can inform translator training and translation quality assessment. A particular focus is given to the digital aspects of modern literary translation. The paper discusses how computer-assisted translation systems, neural machine translation, and parallel corpora facilitate the analysis and validation of translation choices. The results demonstrate that computer-aided tools improve the methodological clarity and analytical precision of translation studies while preserving the interpretative and creative qualities of literary translation.
The importance of this study comes from the fact that social networks have become not only the main means of communication but also a catalyst for a major transformation of the English language. In the digital age, English adapts to the needs of speed, multimodality, and emotional expression, which creates new challenges for teaching it as a foreign language. The study aims to explain how social networks influence the structure, functions, and stylistic standards of modern English and to explore the pedagogical implications of these changes for EFL education. The methodology combines quantitative content analysis, qualitative discourse analysis, and statistical generalization from leading international reports. The findings show an increase in English-language content on social networks to 74.5% by 2025, a rapid growth in new words, and a trend toward simpler sentence structures. Users are actively creating new pragmatic and visual-semiotic codes, giving English a mixed nature that combines written, spoken, and visual forms. Cluster and factor analysis from 2019-2025 helped categorize social networks based on linguistic innovation and identify key factors driving digital language change. Predictive models indicate continued growth in English content by 2027, reinforcing its role as the global digital lingua franca. The results provide practical value for updating EFL teaching methods and enhancing students' digital communication skills.
