My name is Huteng Dai ([xu˨˩ tʰəŋ˧˥ tai˥˨] ≈ who-tongue dye; meaning). I'm a assistant professor in computational linguistics & phonology at the U‑M Linguistics Department.
I take a principle-centered approach to cognitive science and computational linguistics (cf. Smolensky et al. 1992), building on a few first principles.
See the principles
Language makes infinite use of finite means.
Working memory has finite capacity.
Language processing is predictive.
Generalization is formed over distributed representations, e.g. phonological features.
Learning is possible from positive evidence alone.
What I study is the class of theories and models these principles point to: memory-bounded and incrementally predictive, symbolic in structure yet distributed in representation—properties that constitute the inductive biases that make learning possible.
Thanks—principle received.
News
Joselyn Rodriguez will be joining us as a postdoc in computational linguistics and language acquisition. Welcome, Joselyn!
Talk with Connor Mayer (UCI) and Richard Futrell (UCI) "Rethinking representations: A log-bilinear model of phonotactics" at SCiL 2023 [paper][slides].