I'm Huteng Dai (xu˨˩tʰəŋ˧˥ tai˥˨ 戴虎腾; meaning).
I am a computational linguist and theoretical phonologist.
My research focuses on understanding how humans learn sound patterns from noisy, real-world data. I build interpretable models of phonological learning that are not only mathematically well-defined but also succeed on real-world corpora.
Currently completing my PhD at Rutgers Department of Linguistics, I'm affiliated with Center for Cognitive Science, Computational Linguistics Lab, and UCI Language Processing Group.
Research interests
(with links to introductory materials and resources)
Recent activities:
- 2023 Oct., I gave a tutorial "Doing Formal Language Theory" for MathLing. [slides][code].
- 2023 Sept., I'm serving as a graduate mentor at Rutgers Honors College.
- 2023 Sept., I secured the University & Louis Bevier Dissertation Completion Fellowship through a successful grant proposal.
- 2023 June, Talk with Connor Mayer (UCI), and Richard Futrell (UCI) "Rethinking representations: A log-bilinear model of phonotactics" at SCiL 2023 [paper][slides].
- 2023 Feb, I submitted a draft on exceptionality in phonotactic learning [Link]. Comments are welcome!
- 2023 Spring, I was the primary instructor of Introduction to Linguistic Theory for Rutgers Honors College.
- 2022 Nov. 4, Invited talk at MIT Exp/Comp group [link].
- 2022 Oct. 28, Invited talk at UCI QuantLang Lab.
- 2022 Oct. 21–23, I presented my third AMP talk at AMP 2022 @UCLA. [slides][code]
Resources:
- PhonX: Rutgers Phonology and Phonetics Research Group
- MathLing: Rutgers mathematical and computational linguistics
- SigmaPie: Subregular toolkit for language processing (I'm currently hosting this repo; feel free to email me any suggestions or questions.)
- SNARL: Selected News Articles at Rutgers Linguistics
- Before entering my PhD program, I founded the Beijing P-side Group [English Portal]
