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  1. Horses for courses: When acceptability judgments are more suitable than structural priming.Ben Ambridge - 2017 - Behavioral and Brain Sciences 40.
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  • The Discriminative Lexicon: A Unified Computational Model for the Lexicon and Lexical Processing in Comprehension and Production Grounded Not in Composition but in Linear Discriminative Learning.R. Harald Baayen, Yu-Ying Chuang, Elnaz Shafaei-Bajestan & James P. Blevins - 2019 - Complexity 2019:1-39.
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  • Linguistic Self‐Correction in the Absence of Feedback: A New Approach to the Logical Problem of Language Acquisition.Michael Ramscar & Daniel Yarlett - 2007 - Cognitive Science 31 (6):927-960.
    In a series of studies children show increasing mastery of irregular plural forms (such as mice) simply by producing erroneous over‐regularized versions of them (such as mouses). We explain this phenomenon in terms of successive approximation in imitation: Children over‐regularize early in acquisition because the representations of frequent, regular plural forms develop more quickly, such that at the earliest stages of production they interfere with children's attempts to imitatively reproduce irregular forms they have heard in the input. As the strength (...)
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  • Granularity and the acquisition of grammatical gender: How order-of-acquisition affects what gets learned.Inbal Arnon & Michael Ramscar - 2012 - Cognition 122 (3):292-305.
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  • Direct Associations or Internal Transformations? Exploring the Mechanisms Underlying Sequential Learning Behavior.Todd M. Gureckis & Bradley C. Love - 2010 - Cognitive Science 34 (1):10-50.
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  • The Logical Problem of Language Acquisition: A Probabilistic Perspective.Anne S. Hsu & Nick Chater - 2010 - Cognitive Science 34 (6):972-1016.
    Natural language is full of patterns that appear to fit with general linguistic rules but are ungrammatical. There has been much debate over how children acquire these “linguistic restrictions,” and whether innate language knowledge is needed. Recently, it has been shown that restrictions in language can be learned asymptotically via probabilistic inference using the minimum description length (MDL) principle. Here, we extend the MDL approach to give a simple and practical methodology for estimating how much linguistic data are required to (...)
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  • When Absence of Evidence Is Evidence of Absence: Rational Inferences From Absent Data.Anne S. Hsu, Andy Horng, Thomas L. Griffiths & Nick Chater - 2017 - Cognitive Science 41 (S5):1155-1167.
    Identifying patterns in the world requires noticing not only unusual occurrences, but also unusual absences. We examined how people learn from absences, manipulating the extent to which an absence is expected. People can make two types of inferences from the absence of an event: either the event is possible but has not yet occurred, or the event never occurs. A rational analysis using Bayesian inference predicts that inferences from absent data should depend on how much the absence is expected to (...)
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  • Corpus evidence of the viability of statistical preemption.Adele E. Goldberg - 2011 - Cognitive Linguistics 22 (1):131-153.
    The present paper argues that there is ample corpus evidence of statistical preemption for learners to make use of. In the case of argument structure constructions, a verbi is preempted from appearing in a construction A, CxA, if and only if the following probability is high: P(CxB|context that would be suitable for CxA and verbi). For example, the probability of hearing a preemptive construction, given a context that would otherwise be well-suited for the ditransitive is high for verbs like explain (...)
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  • The effect of verb semantic class and verb frequency (entrenchment) on children’s and adults’ graded judgements of argument-structure overgeneralization errors.Ben Ambridge, Julian M. Pine, Caroline F. Rowland & Chris R. Young - 2008 - Cognition 106 (1):87-129.
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  • Negative entrenchment: A usage-based approach to negative evidence.Anatol Stefanowitsch - 2008 - Cognitive Linguistics 19 (3).
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  • Towards cognitively plausible data science in language research.Petar Milin, Dagmar Divjak, Strahinja Dimitrijević & R. Harald Baayen - 2016 - Cognitive Linguistics 27 (4):507-526.
    Over the past 10 years, Cognitive Linguistics has taken a quantitative turn. Yet, concerns have been raised that this preoccupation with quantification and modelling may not bring us any closer to understanding how language works. We show that this objection is unfounded, especially if we rely on modelling techniques based on biologically and psychologically plausible learning algorithms. These make it possible to take a quantitative approach, while generating and testing specific hypotheses that will advance our understanding of how knowledge of (...)
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  • Judgment evidence for statistical preemption: It is relatively better to vanish than to disappear a rabbit, but a lifeguard can equally well backstroke or swim children to shore.Clarice Robenalt & Adele E. Goldberg - 2015 - Cognitive Linguistics 26 (3):467-503.
    Journal Name: Cognitive Linguistics Issue: Ahead of print.
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  • Semantics versus statistics in the retreat from locative overgeneralization errors.Ben Ambridge, Julian M. Pine & Caroline F. Rowland - 2012 - Cognition 123 (2):260-279.
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  • How Do Children Restrict Their Linguistic Generalizations? An (Un‐)Grammaticality Judgment Study.Ben Ambridge - 2013 - Cognitive Science 37 (3):508-543.
    A paradox at the heart of language acquisition research is that, to achieve adult-like competence, children must acquire the ability to generalize verbs into non-attested structures, while avoiding utterances that are deemed ungrammatical by native speakers. For example, children must learn that, to denote the reversal of an action, un- can be added to many verbs, but not all (e.g., roll/unroll; close/*unclose). This study compared theoretical accounts of how this is done. Children aged 5–6 (N = 18), 9–10 (N = (...)
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