Anastasia Kobzeva

PhD Candidate in Computational Psycholinguistics

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Job opportunity announcement: I am looking for data-related roles (analyst/data scientist/data steward) and positions within NLP in and around Oslo.

I am a PhD Candidate at the Norwegian University of Science and Technology (NTNU), supervised by Dave Kush and co-supervised by Tal Linzen. I am affiliated with the Øy(e)lab/EyeLands Lab and the FORMAAL research group at NTNU.

I have submitted my PhD thesis in Computational Psycholinguistics for evaluation at NTNU, where I worked at the intersection of Language Acquisition, Computational Linguistics, and Experimental Syntax. For my PhD-project, I conducted behavioral experiments and trained several statistical and neural language models to explore their ability to learn a specific linguistic phenomenon in Norwegian (filler-gap dependencies and island constraints on them). My dissertation explored what these models and their successes and failures can reveal about the nature of human language learning and the input data which humans and models learn from.

I hold a joint Research Master’s degree in Clinical Linguistics (EMCL+) and a Bachelor’s degree in Computational Linguistics from NRU HSE. Apart from the PhD, my research experience includes working as a research assistant at the Center for Language and Brain at NRU HSE and the Eye-Tracking and Language Processing Lab at CUNY. In my research, I am committed to adhering to open science practices.

In my free time, I volunteer at ReStore – a student organization that works to reduce household waste by facilitating the reuse of goods in Trondheim. Outside of work, I enjoy hiking, baking sourdough bread, and playing board games.

Selected publications

  1. Article
    Learning filler-gap dependencies with neural language models: Testing island sensitivity in Norwegian and English
    Anastasia Kobzeva, Suhas Arehalli, Tal Linzen, and Dave Kush
    Journal of Memory and Language, 2025
  2. Article
    Acquiring Constraints on Filler-Gap Dependencies from Structural Collocations: Assessing a Computational Learning Model of Island-insensitivity in Norwegian
    Anastasia Kobzeva, and Dave Kush
    Language Acquisition, 2025
  3. Article
    Grammar and Expectation in Active Dependency Resolution: Experimental and Modeling Evidence from Norwegian
    Anastasia Kobzeva, and Dave Kush
    Cognitive Science, 2024