Thu, Jul 11, 2019 @ 11:00 AM - 12:00 PM
Information Sciences Institute
Conferences, Lectures, & Seminars
Speaker: Sandy La Tourette, Northwestern University
Talk Title: Learning from language: Intersections of infant and machine learning
Series: Natural Language Seminar
Abstract: Young infants and machine learning algorithms face many of the same fundamental challenges when learning language. Learners often must identify referents in complex scenes, determine the relevance of different object features, and extend labels from previously viewed referents to new ones. In this talk, I examine several ways that infants solve these problems. In some cases, our work reveals word learning mechanisms that are specific to the infant learner, such as labels\' influence on object representations. However, other word learning mechanisms, like infants capacity for semi supervised learning, show striking similarities in the ways that infants and machines overcome the challenges of language learning. Both similarities and differences offer intriguing opportunities for mutually informative, interdisciplinary exchanges.
Biography: Sandy LaTourrette is a 5th year Ph.D. student in Cognitive Psychology at Northwestern University, advised by Dr. Sandra Waxman. He is a NSF Graduate Fellow, and his work focuses on the interactions of language learning and cognition across human development.
Host: Xusen Yin
More Info: https://nlg.isi.edu/nl-seminar
WebCast Link: https://bluejeans.com/499369716
Audiences: Everyone Is Invited
Contact: Peter Zamar
Event Link: https://nlg.isi.edu/nl-seminar