My name is Huteng Dai (xu˨˩tʰəŋ˧˥ tai˥˨ 戴虎腾; meaning), assistant professor in computational linguistics & phonology at the U‑M Linguistics Department. I study how abstract linguistic knowledge—mostly phonological but also morphosyntactic—is acquired by children and machines.

U‑M AI Lab · MCAIM · Weinberg Cognitive Science
prev. PhD Rutgers (CogSci) · RUCLL, UCI LPG

Research Interests

Phonological theory Acquisition Formal Language Theory Interpretability Language Models

Recent Activities

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  • Invited talk, Peking University, "ML for linguists".
  • Talk, EMNLP 2025 (main conference) "Mind the Gap: How 'Baby' Language Models Learn Long-Distance Filler-Gap Dependencies." See you in Suzhou!
  • Invited talk, HCAI'25: The University of Michigan Symposium on Human-Centered AI [link].
  • Invited talk, The Education University of Hong Kong [news].
  • Paper "An Exception-Filtering Approach to Phonotactic Learning" published in Phonology [article] [podcast].
  • Invited talk, LSA organized session "Computational Models of Learnability and Acquisition of Morphology and Phonology."
  • Teaching LING 702: Language & Information.
  • Teaching LING 123: The ABCs of Python.
  • Launching the Computation, Acquisition, and Processing (CAP) Lab [website]!
  • Teaching "The Linguistics of Speech Recognition" at U-M.
  • Serving as Area Chair of CoNLL 2024.
  • Accepted a tenure-track assistant professor position at the University of Michigan, Ann Arbor [link]. Go Blue!
  • Tutorial "Doing Formal Language Theory" for MathLing [slides][code].
  • Served as a graduate mentor at Rutgers Honors College.
  • Secured the University & Louis Bevier Dissertation Completion Fellowship.
  • Talk with Connor Mayer (UCI) and Richard Futrell (UCI) "Rethinking representations: A log-bilinear model of phonotactics" at SCiL 2023 [paper][slides].

Resources