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Mirman, Daniel; Estes, Katharine Graf; Magnuson, James S. – Infancy, 2010
Statistical learning mechanisms play an important role in theories of language acquisition and processing. Recurrent neural network models have provided important insights into how these mechanisms might operate. We examined whether such networks capture two key findings in human statistical learning. In Simulation 1, a simple recurrent network…
Descriptors: Infants, Probability, Language Acquisition, Vocabulary Development