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The Socio-Computational Architecture of Language Acquisition Framework: Linking Social Language Acquisition with Artificial Intelligence.
May/07/2021 @ 12:00 - 13:00
Sho Tsuji (International Research Center for Neurointelligence, Univ. of Tokyo)
Theories and data on language acquisition suggest a range of cues are used, ranging from information on structure found in the linguistic signal itself, to information gleaned from the environmental context or through social interaction. We propose a blueprint for computational models of the early language learner (SCALa, for Socio-Computational Architecture of Language Acquisition) that makes explicit the connection between the kinds of information available to the social learner and the computational mechanisms required to extract language-relevant information and learn from it. SCALa integrates a range of views on language acquisition, further allowing us to make precise recommendations for future large-scale empirical research.