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Stewart M. McCauley [6]Stewart McCauley [1]
  1.  23
    Language learning as language use: A cross-linguistic model of child language development.Stewart M. McCauley & Morten H. Christiansen - 2019 - Psychological Review 126 (1):1-51.
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  2.  7
    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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  3.  6
    Individual differences in artificial and natural language statistical learning.Erin S. Isbilen, Stewart M. McCauley & Morten H. Christiansen - 2022 - Cognition 225 (C):105123.
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  4.  24
    Computational Investigations of Multiword Chunks in Language Learning.Stewart M. McCauley & Morten H. Christiansen - 2017 - Topics in Cognitive Science 9 (3):637-652.
    Second-language learners rarely arrive at native proficiency in a number of linguistic domains, including morphological and syntactic processing. Previous approaches to understanding the different outcomes of first- versus second-language learning have focused on cognitive and neural factors. In contrast, we explore the possibility that children and adults may rely on different linguistic units throughout the course of language learning, with specific focus on the granularity of those units. Following recent psycholinguistic evidence for the role of multiword chunks in online language (...)
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  5.  20
    The crosslinguistic acquisition of sentence structure: Computational modeling and grammaticality judgments from adult and child speakers of English, Japanese, Hindi, Hebrew and K'iche'.Ben Ambridge, Tomoko Tatsumi, Laura Doherty, Ramya Maitreyee, Colin Bannard, Soumitra Samanta, Stewart McCauley, Inbal Arnon, Shira Zicherman, Dani Bekman, Amir Efrati, Ruth Berman, Bhuvana Narasimhan, Dipti Misra Sharma, Rukmini Bhaya Nair, Kumiko Fukumura, Seth Campbell, Clifton Pye, Pedro Mateo Pedro, Sindy Fabiola Can Pixabaj, Mario Marroquín Pelíz & Margarita Julajuj Mendoza - 2020 - Cognition 202 (C):104310.
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  6.  12
    Meaningfulness Beats Frequency in Multiword Chunk Processing.Hajnal Jolsvai, Stewart M. McCauley & Morten H. Christiansen - 2020 - Cognitive Science 44 (10):e12885.
    Whereas a growing bulk of work has demonstrated that both adults and children are sensitive to frequently occurring word sequences, little is known about the potential role of meaning in the processing of such multiword chunks. Here, we take a first step toward assessing the contribution of meaningfulness in the processing of multiword sequences, using items that varied in chunk meaningfulness. In a phrasal-decision study, we compared reaction times for triads of three-word sequences, corresponding to idiomatic expressions, compositional phrases, and (...)
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  7.  14
    Toward a unified account of comprehension and production in language development.Stewart M. McCauley & Morten H. Christiansen - 2013 - Behavioral and Brain Sciences 36 (4):366-367.