Eva Huber

Eva Huber, MA
PhD Student
Distributional Linguistics Lab
Language, ACQuisition, DIVersity Lab
I’m a PhD student in the Distributional Linguistics Lab and I am part of the NCCR Evolving Language (WP Semantic Roles).
My interests revolve around the organisation of argument structure across diverse languages with a particular focus on the emergence of argument structure and distribution of semantic roles in child language development.
Trained as a computational linguist, I use methods from machine learning, statistical modelling and corpus-based approaches.
ZORA Publication List
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Publications
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Neural correlates of processing case in adults and children. Brain and Language, 265:105548.
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Surprisal from language models can predict ERPs in processing predicate-argument structures only if enriched by an Agent Preference principle. Neurobiology of language, 5(1):167-200.