Workshop on Machine Learning and Cognitive Science of Language Acquisition, London 2007

A Bayesian approach to Word Segmentation: Theoretical and Experimental results

author: Sharon Goldwater, Department of Linguistics, Stanford University
published: Oct. 31, 2007, recorded: June 2007, views: 5032

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Description

Word segmentation. One of the first problems infants must solve when learning language. Infants make use of many different cues - phonotactics, allophonic variation, metrical (stress) patterns, effects of coarticulation, and statistical regularities in syllable sequences. Statistics may provide initial bootstrapping - used very early (Thiessen & Saffran, 2003); language-independent.

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