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  1.  5
    Statistically Induced Chunking Recall: A Memory‐Based Approach to Statistical Learning.Erin S. Isbilen, Stewart M. McCauley, Evan Kidd & Morten H. Christiansen - 2020 - Cognitive Science 44 (7):e12848.
    The computations involved in statistical learning have long been debated. Here, we build on work suggesting that a basic memory process, chunking, may account for the processing of statistical regularities into larger units. Drawing on methods from the memory literature, we developed a novel paradigm to test statistical learning by leveraging a robust phenomenon observed in serial recall tasks: that short‐term memory is fundamentally shaped by long‐term distributional learning. In the statistically induced chunking recall (SICR) task, participants are exposed to (...)
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  2.  5
    Developmental effects in the online use of morphosyntactic cues in sentence processing: Evidence from Tagalog.Rowena Garcia, Gabriela Garrido Rodriguez & Evan Kidd - 2021 - Cognition 216 (C):104859.
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  3.  20
    The discourse bases of relativization: An investigation of young German and English-speaking children's comprehension of relative clauses.Silke Brandt, Evan Kidd, Elena Lieven & Michael Tomasello - 2009 - Cognitive Linguistics 20 (3).
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  4.  16
    Four-year-old Mandarin-speaking children’s online comprehension of relative clauses.Wenchun Yang, Angel Chan, Franklin Chang & Evan Kidd - 2020 - Cognition 196 (C):104103.
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  5.  30
    Prediction in processing is a by-product of language learning.Franklin Chang, Evan Kidd & Caroline F. Rowland - 2013 - Behavioral and Brain Sciences 36 (4):350-351.
    Both children and adults predict the content of upcoming language, suggesting that prediction is useful for learning as well as processing. We present an alternative model which can explain prediction behaviour as a by-product of language learning. We suggest that a consideration of language acquisition places important constraints on Pickering & Garrod's (P&G's) theory.
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  6.  13
    Young Children with ASD Use Lexical and Referential Information During On-line Sentence Processing.Edith L. Bavin, Evan Kidd, Luke A. Prendergast & Emma K. Baker - 2016 - Frontiers in Psychology 7.
  7.  26
    The effect of frequency and phonological neighbourhood density on the acquisition of past tense verbs by Finnish children.Minna Kirjavainen, Alexandre Nikolaev & Evan Kidd - 2012 - Cognitive Linguistics 23 (2).
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  8.  9
    Finding your voice: Voice-specific effects in Tagalog reveal the limits of word order priming.Rowena Garcia, Jens Roeser & Evan Kidd - 2023 - Cognition 236 (C):105424.
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  9.  7
    I'm are what I'm are: The acquisition of first-person singular present BE.Thea Cameron-Faulkner & Evan Kidd - 2007 - Cognitive Linguistics 18 (1):1-22.
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  10.  3
    Onset Neighborhood Density Slows Lexical Access in High Vocabulary 30‐Month Olds.Seamus Donnelly & Evan Kidd - 2021 - Cognitive Science 45 (9):e13022.
    There is consensus that the adult lexicon exhibits lexical competition. In particular, substantial evidence demonstrates that words with more phonologically similar neighbors are recognized less efficiently than words with fewer neighbors. How and when these effects emerge in the child's lexicon is less clear. In the current paper, we build on previous research by testing whether phonological onset density slows lexical access in a large sample of 100 English‐acquiring 30‐month‐olds. The children participated in a visual world looking‐while‐listening task, in which (...)
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  11.  4
    The Role of Stimulus‐Specific Perceptual Fluency in Statistical Learning.Andrew Perfors & Evan Kidd - 2022 - Cognitive Science 46 (2):e13100.
    Humans have the ability to learn surprisingly complicated statistical information in a variety of modalities and situations, often based on relatively little input. These statistical learning (SL) skills appear to underlie many kinds of learning, but despite their ubiquity, we still do not fully understand precisely what SL is and what individual differences on SL tasks reflect. Here, we present experimental work suggesting that at least some individual differences arise from stimulus-specific variation in perceptual fluency: the ability to rapidly or (...)
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  12.  3
    The Role of Stimulus‐Specific Perceptual Fluency in Statistical Learning.Andrew Perfors & Evan Kidd - 2022 - Cognitive Science 46 (2):e13100.
    Cognitive Science, Volume 46, Issue 2, February 2022.
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