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Direct linkHamrick, Phillip – Language Learning, 2014
Humans are remarkably sensitive to the statistical structure of language. However, different mechanisms have been proposed to account for such statistical sensitivities. The present study compared adult learning of syntax and the ability of two models of statistical learning to simulate human performance: Simple Recurrent Networks, which learn by…
Descriptors: Second Language Learning, Role, Syntax, Computational Linguistics
