A Computational Approach to Early Language Bootstrapping
Center for Language & Speech Processing(CLSP), JHU via YouTube
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Explore how infants acquire language through a computational lens in this lecture that examines the mechanisms underlying early language development. Discover the theoretical frameworks and computational models that explain how children bootstrap their understanding of language from minimal input during critical developmental periods. Learn about the intersection of cognitive science, linguistics, and artificial intelligence as applied to understanding human language acquisition. Examine current research methodologies used to study infant language learning and the implications for both developmental psychology and machine learning approaches to natural language processing. Gain insights into the challenges and breakthroughs in modeling the remarkable human capacity for language acquisition from one of the leading researchers in computational approaches to language development.
Syllabus
Emmanuel Dupoux: A computational approach to early language bootstrapping
Taught by
Center for Language & Speech Processing(CLSP), JHU