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Christine Cuskley, Vittorio Loreto
Christine Cuskley, Bernardo Monechi, Pietro Gravino, Vittorio Loreto
Dan Dediu, Scott Moisik
Sabrina Engesser, Amanda R. Ridley, Simon W. Townsend
Dankmar Enke, Roland Mühlenbernd, Igor Yanovich
Kerem Eryilmaz, Hannah Little, Bart de Boer
Nicolas Fay, Shane Rogers
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Hannah Little, Kerem Eryılmaz, Bart de Boer
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Jérôme Michaud
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Keywords: Bayesian Inference, Approximate Bayesian Computation, Speech Acquisition, Babbling, Cultural Transmission
Short description: Bayesian inference through babbling: a computational perspective on how production aids acquisition thanks to culture
Abstract:
To emerge and persist over cultural transmission, complex linguistic structures must be learnable from noisy, incomplete linguistic data. Rational statistical inference provides a compelling solution to inductive problems at many levels of linguistic structure. However, from an evolutionary perspective, a core question concerns how language learners could be equipped to approximate rational inferences under limited cognitive resources. We present a computational account of how self-simulation of linguistic data can aid otherwise challenging probabilistic inferences during language acquisition – a shortcut made possible because humans acquire language from linguistic data produced by other humans. Through an analogy with a class of computational techniques known as Approximate Bayesian Computation, we show how the capacity to produce language data can leverage computationally-cheap inductive leaps that approximate rational inference when learning language. We derive an approximate inference model for an idealised problem in the acquisition of speech sounds through babbling, simulate the dynamics of cultural transmission under this model, and discuss implications for the evolution of speech and language
Citation:
Thompson B. and Rasilo H. (2016). Learning To Learn From Similar Others: Approximate Bayesian Computation Through Babbling. In S.G. Roberts, C. Cuskley, L. McCrohon, L. Barceló-Coblijn, O. Fehér & T. Verhoef (eds.) The Evolution of Language: Proceedings of the 11th International Conference (EVOLANG11). Available online: http://evolang.org/neworleans/papers/136.html