Computational models allow us to observe the dynamics of simulated interacting populations in short periods of time. In addition, the study of language regularization can shed light on the evolutionary dynamics of language, illuminating how language systems become rule-governed, and why they sustain exceptions to rules. Verb regularity has been extensively studied from an individual perspective. Experimental approaches show that novel non-verbs are regularized at high rates (e.g., Albright & Hayes, 2003). Computational approaches have examined different neural network strategies for accurately learning the patterns of verb regularity in natural language (e.g., Rumelhart & McClelland, 1986), and the effect of transmission on patterns of regularization (Reali & Griffiths, 2010). However, few approaches have considered how coordination in a population of interacting speakers may contribute to regularization…

Computational models allow us to observe the dynamics of simulated interacting populations in short periods of time. In addition, the study of language regularization can shed light on the evolutionary dynamics of language, illuminating how language systems become rule-governed, and why they sustain exceptions to rules. Verb regularity has been extensively studied from an individual perspective. Experimental approaches show that novel non-verbs are regularized at high rates (e.g., Albright & Hayes, 2003). Computational approaches have examined different neural network strategies for accurately learning the patterns of verb regularity in natural language (e.g., Rumelhart & McClelland, 1986), and the effect of transmission on patterns of regularization (Reali & Griffiths, 2010). However, few approaches have considered how coordination in a population of interacting speakers may contribute to regularization…

THE ROLE OF COORDINATION IN REGULARIZATION / Pugliese, Martina; Loreto, Vittorio; Cuskley, Christine; Castellano, Claudio; Colaiori, Francesca; Tria, Francesca. - STAMPA. - (2014), pp. 260-261. (Intervento presentato al convegno 10th International Conference on the Evolution of Language (EVOLANGX) tenutosi a Vienna nel 14-17 Aprile 2014) [10.1142/9789814603638_0033].

THE ROLE OF COORDINATION IN REGULARIZATION

PUGLIESE, MARTINA;LORETO, Vittorio;CASTELLANO, CLAUDIO;COLAIORI, FRANCESCA;TRIA, FRANCESCA
2014

Abstract

Computational models allow us to observe the dynamics of simulated interacting populations in short periods of time. In addition, the study of language regularization can shed light on the evolutionary dynamics of language, illuminating how language systems become rule-governed, and why they sustain exceptions to rules. Verb regularity has been extensively studied from an individual perspective. Experimental approaches show that novel non-verbs are regularized at high rates (e.g., Albright & Hayes, 2003). Computational approaches have examined different neural network strategies for accurately learning the patterns of verb regularity in natural language (e.g., Rumelhart & McClelland, 1986), and the effect of transmission on patterns of regularization (Reali & Griffiths, 2010). However, few approaches have considered how coordination in a population of interacting speakers may contribute to regularization…
2014
978-981-4603-62-1
978-981-4603-63-8
978-981-4603-62-1
978-981-4603-63-8
Computational models allow us to observe the dynamics of simulated interacting populations in short periods of time. In addition, the study of language regularization can shed light on the evolutionary dynamics of language, illuminating how language systems become rule-governed, and why they sustain exceptions to rules. Verb regularity has been extensively studied from an individual perspective. Experimental approaches show that novel non-verbs are regularized at high rates (e.g., Albright & Hayes, 2003). Computational approaches have examined different neural network strategies for accurately learning the patterns of verb regularity in natural language (e.g., Rumelhart & McClelland, 1986), and the effect of transmission on patterns of regularization (Reali & Griffiths, 2010). However, few approaches have considered how coordination in a population of interacting speakers may contribute to regularization…
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/812117
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