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Natalia Levshina is an Assistant Professor at Radboud University, specializing in language communication within the Centre for Language Studies. Her primary research interests revolve around efficient communication, focusing on how language users optimize their language use to minimize effort while maintaining clarity and effectiveness. With a strong background in data analysis and proficiency in programming languages such as R and Python, she employs machine learning techniques and statistical methods, including frequentist and Bayesian approaches, to analyze extensive language corpora. Natalia's expertise lies in computational linguistics, where she investigates the interplay between grammar and lexicon in language choices over the long term. She is passionate about teaching and guiding students in understanding complex linguistic phenomena through applied research methods.
Applies to Research Master's in Linguistics and Communication Sciences (Centre for Language Studies/Department of Language and Communication).