Inherent Biases of Recurrent Neural Networks for Phonological Assimilation and Dissimilation

WS 2017 Am Doucettea

A recurrent neural network model of phonological pattern learning is proposed. The model is a relatively simple neural network with one recurrent layer, and displays biases in learning that mimic observed biases in human learning... (read more)

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