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DESCRIPTION:Title: Bigger data about smaller people: Studying language lear
 ning at scale.\n\nAbstract: Every typically developing child learns to tal
 k\, but children vary tremendously in how and when they do so. What predic
 ts this variability\, and what is consistent across children and across le
 arners of different languages? In this talk\, I’ll describe our efforts to
  create predictive models of early language learning as a way of formalizi
 ng hypotheses in this space. This goal has led us to create open data reso
 urces like Wordbank\, childes-db\, and Peekbank that capture data from ten
 s of thousands of children learning dozens of different languages.\n\n \n
 \nSeminar CAMBAM Seminar Series\n	Zoom -  Please contact coordinator.qls [a
 t] mcgill.ca\n
DTSTART:20220920T160000Z
DTEND:20220920T170000Z
SUMMARY:Michael Frank\, Stanford
URL:/mathstat/channels/event/michael-frank-stanford-34
 2049
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