Investigating Phonological Representations: A Modeling Agenda

作者: Prahlad Gupta

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摘要: This paper outlines a bottom-up research approach to studying lexical representation, emphasizing the development of infant phonological perception as source data that can illuminate nature representations. It is proposed neural network formalisms provide useful framework for thinking about these issues. We identify key set empirical results, understanding which would yield considerable insight; this defines modeling agenda investigation report preliminary simulations explore agenda, exemplifying how techniques contribute phenomena.

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