Language Transformations Under the Influence of Artificial Intelligence: Linguistic Trends and Development Prospects

Wei Zhang; Inna Zavalniuk; Valentyna Bohatko; Nina Kukhar; Oleksiy Pavlyuk

Ayuda

Language Transformations Under the Influence of Artificial Intelligence: Linguistic Trends and Development Prospects

Zhang, Wei ^[1] ; Zavalniuk, Inna ^[2] ; Bohatko, Valentyna ^[2] ; Kukhar, Nina ^[2] ; Pavlyuk, Oleksiy ^[2]
1. [1] Yantai University
  
  Yantai University
  
  China
2. [2] Vinnytsia Mykhailo Kotsiubynskyi State Pedagogical University, Faculty of Philology and Journalism named after Mykhailo Stelmakh, Department of Ukrainian Language. Vinnytsia, Ukraine
Localización: Metaverse Basic and Applied Research, ISSN-e 2953-4577, Vol. 4, Nº. 0, 2025 (Ejemplar dedicado a: Metaverse Basic and Applied Research)
Idioma: inglés
Enlaces
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Resumen
- Introduction: The article is devoted to the analysis of the linguistic features of the application of artificial intelligence (AI) on the material of the English and Ukrainian languages. The research material included texts created or processed using AI (in particular, ChatGPT, Google Translate, Grammarly), as well as the results of surveys of these technologies’ users. The aim of the work is to determine the impact of AI on language structure, stylistics, interlingual adaptation and communication.Methods: The study used methods of content analysis, comparative analysis, and expert evaluation.Results: The main results showed that the English language is more adapted for the work of AI, which is manifested in higher accuracy of grammatical and stylistic corrections. The Ukrainian language demonstrates significant challenges for AI, in particular in the reproduction of dialects, stylistic nuances and complex syntactic constructions. AI facilitates interlingual communication, but sometimes leads to the loss of cultural and linguistic features. There are risks of standardizing language norms, which may negatively affect the preservation of unique linguistic featureConclusions: The results show that there if the need to improve AI algorithms to better adapt to the peculiarities of different languages. The completion of this task presupposes involving linguists to ensure linguistic diversity.