Tom Juzek

Assistant Professor
Tom Juzek

Contact Information

Office Location
DIF 304A
Email
tjuzek@fsu.edu
Phone
850-644-3727
Program
Linguistics
Office Hours

ann. in class, and by appt.

Tom Juzek (MA Phonetics, Bonn; Ph.D. Linguistics, Oxford) is an Assistant Professor of Computational Linguistics. His research interests include the application of computational methods to linguistic questions, with a current focus on the features of AI-generated language and its impact on human language usage. Prior to joining FSU, Tom worked in the tech industry for several years. He also co-organizes the SC Machine Learning Seminar, for details see https://sc-ai.net.

Research Interests

Computational linguistics

Natural language processing

Corpus linguistics

Experimental and information theoretic approaches

Courses Taught

LIN3041: Introduction to linguistics I
LIN3042: Introduction to linguistics II
LIN3771: AI-assisted Python programming for language data
LIN5932: Topics in linguistics - research methods

Selected Publications

  • Juzek, T. S., & Ward, Z. B. (ms). Why Does ChatGPT “Delve” So Much? Exploring the Sources of Lexical Overrepresentation in Large Language Models. https://github.com/tjuzek/delve/blob/main/jw_why_delve_v0.8.pdf
  • Juzek, T. S. (2024). Signal Smoothing and Syntactic Choices: A Critical Reflection on the UID Hypothesis. Open Mind, 8, 217-234. https://direct.mit.edu/opmi/article/doi/10.1162/opmi_a_00125/120012/Signal-Smoothing-and-Syntactic-Choices-A-Critical
  • Juzek, T. S., Krielke, M. P., & Teich, E. (2020). Exploring diachronic syntactic shifts with dependency length: the case of scientific English. In Proceedings of the Fourth Workshop on Universal Dependencies (UDW 2020) (pp. 109-119). https://aclanthology.org/2020.udw-1.13.pdf