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SCALa: A blueprint for computational models of language acquisition in social context

Abstract : 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.
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https://hal.inria.fr/hal-03373586
Contributor : Emmanuel Dupoux Connect in order to contact the contributor
Submitted on : Monday, October 11, 2021 - 4:20:57 PM
Last modification on : Wednesday, October 26, 2022 - 2:08:46 PM
Long-term archiving on: : Wednesday, January 12, 2022 - 8:10:03 PM

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Sho Tsuji, Alejandrina Cristia, Emmanuel Dupoux. SCALa: A blueprint for computational models of language acquisition in social context. Cognition, 2021, 213, pp.104779. ⟨10.1016/j.cognition.2021.104779⟩. ⟨hal-03373586⟩

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