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. If you found this episode interesting at all, subscribe on our Substack and consider leaving us a good rating! It just takes a second but will allow us to reach more people and make them excited about psychology.Paper: https://www.sciencedirect.com/science/article/pii/S0010027721001980?casa_token=qgQQnJZhAtsAAAAA:jpgo27gePFql_iSljm__ZAEcnT-3Qcemy5_QMVxL06DQO_ZJjHuGeBlFHmnnbUd-9UD5xNGK920Sho’s personal website: https://sites.google.com/site/tsujish/homeSho’s lab website: https://babylab.ircn.jp/en/Anjie’s: website: anjiecao.github.ioAnjie’s Twitter @anjie_caoPodcast Twitter @StanfordPsyPodPodcast Substack https://stanfordpsypod.substack.com/Let us know what you thought of this episode, or of the podcast! :) [email protected]

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