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  1.  11
    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.  10
    Statistical Learning of Language: A Meta‐Analysis Into 25 Years of Research.Erin S. Isbilen & Morten H. Christiansen - 2022 - Cognitive Science 46 (9):e13198.
    Cognitive Science, Volume 46, Issue 9, September 2022.
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    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.  31
    Chunk‐Based Memory Constraints on the Cultural Evolution of Language.Erin S. Isbilen & Morten H. Christiansen - 2018 - Topics in Cognitive Science 12 (2):713-726.
    How linguistic structures evolve so as to become easier to process is addressed by Isbilen and Christiansen for the Now‐or‐Never bottleneck. The authors suggest that this fundamental challenge in language processing is coped with by rapid compression of the transient linguistic input into chunks then to be passed on. As linguistic structures that can be chunked more easily tend to stabilize and proliferate, language evolves to fit learners’ cognitive capabilities.
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