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  1. Non‐Adjacent Dependency Learning in Humans and Other Animals.Benjamin Wilson, Michelle Spierings, Andrea Ravignani, Jutta L. Mueller, Toben H. Mintz, Frank Wijnen, Anne van der Kant, Kenny Smith & Arnaud Rey - 2018 - Topics in Cognitive Science (3):843-858.
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  • Non‐Adjacent Dependency Learning in Humans and Other Animals.Benjamin Wilson, Michelle Spierings, Andrea Ravignani, Jutta L. Mueller, Toben H. Mintz, Frank Wijnen, Anne Kant, Kenny Smith & Arnaud Rey - 2020 - Topics in Cognitive Science 12 (3):843-858.
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  • Exploring Variation Between Artificial Grammar Learning Experiments: Outlining a Meta‐Analysis Approach.Antony S. Trotter, Padraic Monaghan, Gabriël J. L. Beckers & Morten H. Christiansen - 2020 - Topics in Cognitive Science 12 (3):875-893.
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  • Aligning Developmental and Processing Accounts of Implicit and Statistical Learning.Michelle S. Peter & Caroline F. Rowland - 2019 - Topics in Cognitive Science 11 (3):555-572.
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  • A Single Paradigm for Implicit and Statistical Learning.Padraic Monaghan, Christine Schoetensack & Patrick Rebuschat - 2019 - Topics in Cognitive Science 11 (3):536-554.
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  • Canalization of Language Structure From Environmental Constraints: A Computational Model of Word Learning From Multiple Cues.Padraic Monaghan - 2017 - Topics in Cognitive Science 9 (1):21-34.
    There is substantial variation in language experience, yet there is surprising similarity in the language structure acquired. Constraints on language structure may be external modulators that result in this canalization of language structure, or else they may derive from the broader, communicative environment in which language is acquired. In this paper, the latter perspective is tested for its adequacy in explaining robustness of language learning to environmental variation. A computational model of word learning from cross-situational, multimodal information was constructed and (...)
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  • Non‐Adjacent Dependencies Processing in Human and Non‐Human Primates.Raphaëlle Malassis, Arnaud Rey & Joël Fagot - 2018 - Cognitive Science 42 (5):1677-1699.
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  • Modeling the Influence of Language Input Statistics on Children's Speech Production.Ingeborg Roete, Stefan L. Frank, Paula Fikkert & Marisa Casillas - 2020 - Cognitive Science 44 (12).
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  • 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).
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  • Children’s Learning of Non-Adjacent Dependencies Using a Web-Based Computer Game Setting.Mireia Marimon, Andrea Hofmann, João Veríssimo, Claudia Männel, Angela D. Friederici, Barbara Höhle & Isabell Wartenburger - 2021 - Frontiers in Psychology 12.
    Infants show impressive speech decoding abilities and detect acoustic regularities that highlight the syntactic relations of a language, often coded via non-adjacent dependencies. It has been claimed that infants learn NADs implicitly and associatively through passive listening and that there is a shift from effortless associative learning to a more controlled learning of NADs after the age of 2 years, potentially driven by the maturation of the prefrontal cortex. To investigate if older children are able to learn NADs, Lammertink et (...)
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  • Evidence of Ordinal Position Encoding of Sequences Extracted From Continuous Speech.Ana Fló - forthcoming - Cognition:104646.
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  • Simultaneous Acquisition of Words and Syntax: Effects of Exposure Condition and Declarative Memory.Simón Ruiz, Kaitlyn M. Tagarelli & Patrick Rebuschat - 2018 - Frontiers in Psychology 9.
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  • Concurrent Learning of Adjacent and Nonadjacent Dependencies in Visuo-Spatial and Visuo-Verbal Sequences.Joanne A. Deocampo, Tricia Z. King & Christopher M. Conway - 2019 - Frontiers in Psychology 10.
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