Yevgen Matusevych

Yevgen Matusevych is a researcher in the field of computational linguistics, affiliated with the Faculty of Arts and the Computational Linguistics department. His work bridges theoretical and applied research in natural language processing, bilingualism, and speech modeling.

• Research Interests: Primary focus on computational linguistics, with emphasis on bilingual sentence processing, phonetic learning, and cognitive plausibility in language models.
• Publications: Active in peer-reviewed research since 2013, recent work explores bilingual language models, mutual exclusivity bias in speech models, and phonetic learning as perceptual space modeling.
• Collaborations: Extensive external collaborations in computational linguistics, particularly in multimodal learning and cross-linguistic studies.

Key Trends: His articles highlight the intersection of natural language processing, bilingualism, and cognitive science, with sub-fields spanning speech recognition, neural architectures, and psycholinguistic theories of language acquisition.