Stanford Psychology Podcast

117 - Sho Tsuji: A blueprint for modeling how babies acquire language


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Anjie chats with Dr. Sho Tsuji, an Assistant Professor at the University of Tokyo where she directs the IRCN baby lab. Her core research interests involve understanding how babies acquire language efficiently. In this episode, we chat about her recent work on approaching this question from a computational perspective, a paper titled “SCALa: A blueprint for computational models of language acquisition in social context”. Sho explained why a computational perspective is crucial for understanding language acquisition. She also shared her perspective on large language models as a human language acquisition researcher.  


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Paper: https://www.sciencedirect.com/science/article/pii/S0010027721001980?casa_token=qgQQnJZhAtsAAAAA:jpgo27gePFql_iSljm__ZAEcnT-3Qcemy5_QMVxL06DQO_ZJjHuGeBlFHmnnbUd-9UD5xNGK920

Sho’s personal website: https://sites.google.com/site/tsujish/home

Sho’s lab website: https://babylab.ircn.jp/en/

Anjie’s: website: anjiecao.github.io

Anjie’s Twitter @anjie_cao



Podcast Twitter @StanfordPsyPod

Podcast Substack https://stanfordpsypod.substack.com/


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