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  1. The Utility of Cognitive Plausibility in Language Acquisition Modeling: Evidence From Word Segmentation.Lawrence Phillips & Lisa Pearl - 2015 - Cognitive Science 39 (8):1824-1854.
    The informativity of a computational model of language acquisition is directly related to how closely it approximates the actual acquisition task, sometimes referred to as the model's cognitive plausibility. We suggest that though every computational model necessarily idealizes the modeled task, an informative language acquisition model can aim to be cognitively plausible in multiple ways. We discuss these cognitive plausibility checkpoints generally and then apply them to a case study in word segmentation, investigating a promising Bayesian segmentation strategy. We incorporate (...)
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  • A Bayesian framework for word segmentation: Exploring the effects of context.Sharon Goldwater, Thomas L. Griffiths & Mark Johnson - 2009 - Cognition 112 (1):21-54.
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  • Distributional regularity and phonotactic constraints are useful for segmentation.Michael R. Brent & Timothy A. Cartwright - 1996 - Cognition 61 (1-2):93-125.
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  • The representation of Hebrew words: Evidence from the obligatory contour principle.Iris Berent & Joseph Shimron - 1997 - Cognition 64 (1):39-72.
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  • Phonotactic cues for segmentation of fluent speech by infants.Sven L. Mattys & Peter W. Jusczyk - 2001 - Cognition 78 (2):91-121.
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  • Rules vs. analogy in English past tenses: a computational/experimental study.Adam Albright & Bruce Hayes - 2003 - Cognition 90 (2):119-161.
    Are morphological patterns learned in the form of rules? Some models deny this, attributing all morphology to analogical mechanisms. The dual mechanism model (Pinker, S., & Prince, A. (1998). On language and connectionism: analysis of a parallel distributed processing model of language acquisition. Cognition, 28, 73-193) posits that speakers do internalize rules, but that these rules are few and cover only regular processes; the remaining patterns are attributed to analogy. This article advocates a third approach, which uses multiple stochastic rules (...)
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  • Maturational Constraints on Language Learning.Elissa L. Newport - 1990 - Cognitive Science 14 (1):11-28.
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  • Learning Diphone-Based Segmentation.Robert Daland & Janet B. Pierrehumbert - 2011 - Cognitive Science 35 (1):119-155.
    This paper reconsiders the diphone-based word segmentation model of Cairns, Shillcock, Chater, and Levy (1997) and Hockema (2006), previously thought to be unlearnable. A statistically principled learning model is developed using Bayes’ theorem and reasonable assumptions about infants’ implicit knowledge. The ability to recover phrase-medial word boundaries is tested using phonetic corpora derived from spontaneous interactions with children and adults. The (unsupervised and semi-supervised) learning models are shown to exhibit several crucial properties. First, only a small amount of language exposure (...)
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  • The acquisition of allophonic rules: Statistical learning with linguistic constraints.Sharon Peperkamp, Rozenn Le Calvez, Jean-Pierre Nadal & Emmanuel Dupoux - 2006 - Cognition 101 (3):B31-B41.
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  • Agency and Voice: The Semantics of the Semitic Templates. [REVIEW]Edit Doron - 2003 - Natural Language Semantics 11 (1):1-67.
    Semitic templates systematically encode two dimensions of verb meaning: (a) agency, the thematic role of the verb’s external argument, and (b) voice. The assumption that this form-meaning correspondence is mediated by syntax allows the parallel compositional construction of the form and the meaning of a verb from the forms and the meanings of its root and template. The root and its arguments are optionally embedded under a light verb v which introduces the agent (Hale and Keyser 1993; Kratzer 1994). But (...)
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