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.

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Friday, November 18, 2016

Maryland Room, Marie Mount Hall