A Model of Infant Learning of Word Stress

Nine-month-old infants can distinguish the word-stress patterns of two artificial languages after a few minutes of exposure to words from one of the languages, apparently by making transitive inferences from known word-stress constraints to unknown constraints. We report on a neuralnetwork simulation of these data using the sibling-descendant cascade-correlation algorithm. The simulations cover the infant data and generate some predictions for further infant research.

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