Thomas Stephan Juzek
Assistant Professor of Computational Linguistics
Florida State University
Hi there, and thanks for visiting. A few words about my work: I am a computational linguist at Florida State University, and my current research line studies the interactions between human and AI language behaviour. Concretely: how do large language models such as ChatGPT use language, why do they use the language they do, and how does that compare to human language use? We are seeing some remarkable shifts in human language use that are difficult to explain without giving AI a role. More broadly, language behaviour is an excellent testbed for model behaviour, and language alignment is part of the wider effort to align models with human expectations.
I also teach courses in computational linguistics, and I enjoy mentoring undergraduate and graduate research on language technology and AI. I see my work as being in service of the community and the field, whether through public talks, open tools, or freely shared data. I am always happy to hear from students, and open to media enquiries.
Selected research
AI-Associated Lexical Shifts Across 34 Languages
Cross-lingual convergence: emphasize-type verbs surface in 24 of 34 languages.
@misc{juzek-2026-34languages,
title = {AI-Associated Lexical Shifts Across 34 Languages:
Cross-Lingual Convergence and Diachronic Uptake in News Writing},
author = {Juzek, Thomas Stephan},
year = {2026},
eprint = {2605.25358},
archivePrefix = {arXiv},
primaryClass = {cs.CL},
url = {https://arxiv.org/abs/2605.25358}
}Fully Automated Identification of Lexical Alignment & Preference-Stage Shifts
A reusable, curation-free diagnostic for AI lexical overuse: the foundational pipeline.
@inproceedings{juzek-etal-2026-fully,
title = {Fully Automated Identification of Lexical Alignment and
Preference-Stage Shifts in Large Language Models},
author = {Juzek, Thomas Stephan and Ming, Xiaoyang and Hernandez, Jose A.},
booktitle = {Proceedings of the Fifteenth Language Resources and
Evaluation Conference (LREC 2026)},
pages = {6116--6131},
year = {2026},
doi = {10.63317/4ut7ammh7z3h},
url = {https://lrec.elra.info/lrec2026-main-484}
}Model Misalignment & Language Change
First peer-reviewed evidence of AI-associated language traces in unscripted spoken English.
@inproceedings{anderson-etal-2025-misalignment,
title = {Model Misalignment and Language Change: Traces of
AI-Associated Language in Unscripted Spoken English},
author = {Anderson, Bryce and Galpin, R. and Juzek, Thomas Stephan},
booktitle = {Proceedings of the AAAI/ACM Conference on AI, Ethics,
and Society (AIES 2025)},
volume = {8},
number = {1},
pages = {179--191},
year = {2025},
doi = {10.1609/aies.v8i1.36540},
url = {https://doi.org/10.1609/aies.v8i1.36540}
}AI Word Explorer
Browse AI-overused words by language, register, and model, now including GPT-5.2.
aiwordexplorer.comSee all papers on the research page or Google Scholar.
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