Talk
Paul Smolensky
Johns Hopkins University
Gradient symbols and graded universals in grammatical processing and learning

Gradient Symbolic Computation process models of incremental (word-by-word) syntactic parsing will be discussed, as well as process models of graded probabilistic biases in language learning and the potential role of such biases in explaining statistical typological universals.

See http://ling.umd.edu/events/archive/999/ for more information.

Friday, November 18, 2016
3:30pm

Maryland Room, Marie Mount Hall