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Conditional Probability and Word Discovery: A Corpus Analysis of Speech to Infants

Abstract

Analyses of an idealized corpus of English speech to infants revealed that simple conditional decision rules can separate frequent bisyllabic wordsftxjm bisyllables not corresponding to words. If infants accurately represent speech in terms of syllables, and compute conditional statistics over these syllables, such computations have the potential to inform infants of likely English words.

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