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Big data about small people: Studying children's language learning at scale
mardi 08 juin 2021

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Descriptif

Conférence de Michael Frank (Stanford university) dans le cadre du Colloquium du département d'Etudes Cognitives de l'ENS-PSL.

Every typically developing child learns to talk, but children differ 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 what varies and what is more universal in children's early language.

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Auteur(s)
Michael Frank
Stanford university
Neuroscientifique

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Cursus :

Michael C. Frank est neuroscientifique, spécialiste du développement du langage chez les nourrissons. Il enseigne au département de pyschologie de l'Université de Stanford.

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Dernière mise à jour : 12/07/2021