Programm 80. StuTS

Poster

Linguistic Knowledge as a Resource for AI, Digital Education and Cross-Cultural Business Communication in the Multilingual World

Liakhova Kateryna

19. November 2026 – Atrium (Philosophikum) en Phonetik und Phonologie

In an increasingly digital and multilingual world, effective language skills are really important for education and international professional environment. Word stress is an important feature of a word’s sound structure and sits at the intersection of phonology and morphology. It plays roles: how words are pronounced; affect how clearly speech is understood; how well spoken messages are comprehended. That’s why studying stress patterns is important for understanding language structure, creating learning materials and speech technologies.
The study compares the stress patterns of Ukrainian and Russian nouns and investigates it's distribution across different grammatical forms. By linking accentology with the analysis of morphological structure, it is examined the role of stress paradigms in organizing pronunciation and the potential uses of comparative linguistic analysis in teaching pronunciation and creating digital language learning materials.
The received linguistic knowledge are useful for further exploring how AI can be applied in language education and communication technologies, using the information to organize targeted pronunciation practice and provide personalized feedback. Understanding stress patterns is needed for speech recognition research and for developing language technologies for multilingual settings. From a business and management perspective, these areas open up opportunities for creating digital studying products, and new communication models in multilingual education.
From the perspective of human capital, pronunciation skills and language proficiency are resources for the effective communication, learning, and professional interaction in a multilingual environment. Pronunciation features affect how spoken language is perceived, so digital pronunciation training is potentially interesting for developing educational services. Personalized AI-based pronunciation practice tools could become a key area for the development of language products.
By combining comparative linguistics, accentology, and digital technologies, the study highlights the potential value of linguistic knowledge for interdisciplinary research. It outlines possible directions for its use in education, communication technologies and cross-cultural business communication.