[ Research ]
Language across time, society and technology.
Yan Kapranov’s research connects historical and comparative linguistics with corpus-based methods, multilingualism and the changing relationship between human language and artificial intelligence.
Research focus
The programme is comparative by design and interdisciplinary in practice. It moves between long-term language change, contemporary multilingual societies and emerging digital forms of communication.
Historical & Comparative Linguistics
Language kinship, diachronic reconstruction, global etymologies and macrocomparative perspectives across major language families.
Corpus Linguistics & Digital Methods
Corpus-assisted analysis of lexical, semantic and phraseological patterns, supported by transparent and reproducible research practices.
Translation, Terminology & Lexicography
Multilingual equivalence, specialist terminology, dictionary-making and the use of corpora in translation research and pedagogy.
Multilingualism, Migration & Identity
Language policy, social interaction, displacement and the ways language shapes belonging, participation and public life.
Human–AI Language Interaction
Generative AI in education and scholarship, institutional AI policy, prompt-mediated communication and responsible human oversight.
Methods & evidence
- Diachronic reconstruction and etymological comparison
- Corpus-assisted and multilingual textual analysis
- Translation, terminology and lexicographic methods
- Interdisciplinary collaboration across linguistics, education and digital studies
Research outputs
The portfolio includes research monographs with international academic publishers, edited volumes, teaching books and articles in peer-reviewed venues, including Scopus- and Web of Science-indexed journals. Curated and complete records will appear in Publications, Books and Academic Profiles.
Yan Kapranov 