Katerina Vylomova
Lecturer At The University Of Melbourne at University of Melbourne
Greater Melbourne Area Australia
Summary
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Senior🎓
Top SchoolKaterina Vylomova is a computational linguist and lecturer at the University of Melbourne with a decade of experience applying statistical and neural methods to language problems, from morphology and lexical relations to diachronic semantic change. She combines teaching foundations of computing with research on data-efficient neural models, focusing on technology for extremely under-resourced languages and the search for universal principles of human language. Her work spans academia and industry—from spam analysis and NLP feature engineering at Yandex and Kaspersky to Fulbright-funded research on idiomaticity in the US—bringing practical engineering rigor to theoretical questions. Notably, she blends formal linguistic approaches with modern deep learning to improve model generalization and interpretability, particularly for languages with scarce data.
10 years of coding experience
10 years of employment as a software developer
Data mining, Data mining at Moscow Institute of Physics and Technology (State University) (MIPT)MS, data mining, computational linguistics, MS, data mining, computational linguistics at Bauman Moscow State Technical University
Github Skills (12)
acl10
computational-linguistics10
phonetics10
natural-language-processing9
prediction6
dub5
dm5
crossword5
php3
laravel3
hebrew2
deep-learning2
Programming languages (4)
Github contributions (5)
unimorph/ind
Feb 2021 - Jan 2022
Contributions:3 commits, 2 pushes, 1 branch in 11 months
unimorph/uig
Dec 2020 - Jan 2022
Contributions:3 commits, 2 pushes, 1 branch in 1 year 1 month
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