Local Processes of Homophone Acquisition
- Deniz Beser (University of Pennsylvania)
- Spencer Caplan (University of Pennsylvania)
Abstract
The Naive Generalization Model (NGM) (Caplan, 2018) explains word learning phenomena as grounded in the local, dynamical process of category formation. A range of experimental evidence (Xu and Tenenbaum, 2007; Spencer et al., 2011; Lewis and Frank, 2018) supports the NGM over prior models of word learning such as Bayesian inference (Xu and Tenenbaum, 2007). Despite such progress, a number of theoretical phenomena remain unaddressed by previous accounts. In this paper, we present a novel extension to NGM which offers a strong fit to and explanation of experimental data on homophone acquisition (Dautriche et al., 2016).
Keywords: Word learning, homophony
How to Cite:
Beser, D. & Caplan, S., (2019) “Local Processes of Homophone Acquisition”, Society for Computation in Linguistics 2(1), 326-329. doi: https://doi.org/10.7275/13dk-dv31
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