MTS Talk Series Michael Frank

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“Variability and Consistency in Early Language Learning: The Wordbank Project”
April 30, 2018

Michael Frank
Stanford University

Abstract: Every typically developing child learns to talk, but children vary tremendously in how and when they do so. What predicts this variability? And which aspects of early language learning are consistent across the world’s languages and cultures? We use data from tens of thousands of children learning dozens of different languages to create a data driven picture of universals and variation in early language learning.

Michael C. Frank is Associate Professor of Psychology at Stanford University. He earned his BS from Stanford University in Symbolic Systems in 2005 and his PhD from MIT in Brain and Cognitive Sciences in 2010. He studies both adults' language use and children's language learning and how both of these interact with social cognition. His work uses behavioral experiments, computational tools, and novel measurement methods including large-scale web-based studies, eyetracking, and head-mounted cameras. He is recipient of the FABBS Early Career Impact award and the Klaus W. Jacobs Advanced Research Fellowship. His dissertation received the Glushko Prize from the Cognitive Science Society, and he has been recognized as a "rising star" by the Association for Psychological Science. He has served as Associate Editor for the journal Cognition, was a founding executive committee member of the Society for the Improvement of Psychological Science, and is the incoming chair of the Governing Board of the Cognitive Science Society.

YouTube url:	https://www.youtube.com/watch?v=fxDdIwykM38
Created:	26. 9. 2020 02:44:12

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MTS Talk Series Michael Frank