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A Bayesian approach to Word Segmentation: Theoretical and Experimental results

A Bayesian approach to Word Segmentation: Theoretical and Experimental results

This video was recorded at Workshop on Machine Learning and Cognitive Science of Language Acquisition, London 2007. 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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Material Type:
Presentation
Date Added to MERLOT:
February 10, 2015
Date Modified in MERLOT:
February 10, 2015
Author:
Submitter:
The Open Education Consortium
Primary Audience:
College General Ed, College Lower Division, College Upper Division
Technical Format:
Video
Mobile Compatibility:
Not specified at this time
Language:
English
Cost Involved:
No
Source Code Available:
No
Accessibility Information Available:
Unknown
Creative Commons:
Creative Commons License
This work is licensed under a Attribution-NonCommercial-NoDerivs 3.0 United States

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