Intelligent Language Systems and Technical Linguistic Solutions in the Digital Environment

Iryna Shvetsova; Svitlana Lytvynska; Tetiana Davydova; Svitlana Romanchuk; Olha Rusavska

doi:10.63931/ijchr.v7iSI1.195

Authors

Iryna Shvetsova Kherson State Maritime Academy, Kherson, Ukraine https://orcid.org/0000-0002-6801-5204
Svitlana Lytvynska National University of Life and Environmental Sciences of Ukraine, Kyiv, Ukraine https://orcid.org/0000-0002-5761-5124
Tetiana Davydova National Academy of Security Service of Ukraine https://orcid.org/0000-0001-8431-9024
Svitlana Romanchuk Ukrainian Institute of Art and Science https://orcid.org/0000-0002-5737-2951
Olha Rusavska Ukrainian Institute of Art and Science, Bucha, Ukraine https://orcid.org/0000-0003-1513-1540

DOI:

https://doi.org/10.63931/ijchr.v7iSI1.195

Keywords:

applied linguistics, artificial intelligence, digital inequality, ethical risks, language discrimination, language engineering

Abstract

In today’s increasingly digital world, there is a growing demand for linguistic solutions that promote accessibility, ethics, and multilingualism in online environments. The challenges of language discrimination, digital inequality, and the endangerment of minority languages due to automated language processing are becoming increasingly urgent. This study aims to explore the role of applied linguistics in addressing these global language issues, with a particular focus on emerging trends in language engineering, framed within ethical and social contexts. The research adopts an interdisciplinary theoretical foundation, drawing from sociolinguistics, corpus linguistics, semiotics, cognitive science, and digital humanities. Through content analysis of relevant literature and data, the study typologizes ethical risks linked to the deployment of artificial intelligence-based language models and identifies key trends in applied linguistics, from socio-humanitarian interpretations of language to the construction of multilingual corpora for automated text processing. Findings highlight a tension between technocratic and sociocentric paradigms in current scientific discourse and underscore the absence of a unified ethical framework governing language technology. The practical value of this research lies in its proposed typology of ethical risks, which may inform digital inclusion policies, educational program design, and user interfaces for marginalized linguistic communities. Additionally, the study sets a foundation for future investigations into the intercultural adaptation of NLP systems, the creation of ethical protocols, and the development of normative approaches to linguistic diversity in the age of artificial intelligence.

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