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  1. When Native Speakers Are Not “Native‐Like:” Chunking Ability Predicts (Lack of) Sensitivity to Gender Agreement During Online Processing.Manuel F. Pulido & Priscila López-Beltrán - 2023 - Cognitive Science 47 (10):e13366.
    Previous work on individual differences has revealed limitations in the ability of existing measures (e.g., working memory) to predict language processing. Recent evidence suggests that an individual's sensitivity to detect the statistical regularities present in language (i.e., “chunk sensitivity”) may significantly modulate online sentence processing. We investigated whether individual chunk sensitivity predicted the online processing of gender cues, a core linguistic feature of Spanish. In a self‐paced reading task, we examined native speakers’ processing of relative clauses in which gender cues (...)
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  • 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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  • 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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  • Short-Term Memory for Serial Order Moderates Aspects of Language Acquisition in Children With Developmental Language Disorder: Findings From the HelSLI Study.Pekka Lahti-Nuuttila, Elisabet Service, Sini Smolander, Sari Kunnari, Eva Arkkila & Marja Laasonen - 2021 - Frontiers in Psychology 12.
    Previous studies of verbal short-term memory indicate that STM for serial order may be linked to language development and developmental language disorder. To clarify whether a domain-general mechanism is impaired in DLD, we studied the relations between age, non-verbal serial STM, and language competence. We hypothesized that non-verbal serial STM differences between groups of children with DLD and typically developing children are linked to their language acquisition differences. Fifty-one children with DLD and sixty-six TD children participated as part of the (...)
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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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  • 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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  • Hebbian, correlational learning provides a memory-less mechanism for Statistical Learning irrespective of implementational choices: Reply to Tovar and Westermann (2022).Ansgar D. Endress & Scott P. Johnson - 2023 - Cognition 230 (C):105290.
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  • Chunking Versus Transitional Probabilities: Differentiating Between Theories of Statistical Learning.Samantha N. Emerson & Christopher M. Conway - 2023 - Cognitive Science 47 (5):e13284.
    There are two main approaches to how statistical patterns are extracted from sequences: The transitional probability approach proposes that statistical learning occurs through the computation of probabilities between items in a sequence. The chunking approach, including models such as PARSER and TRACX, proposes that units are extracted as chunks. Importantly, the chunking approach suggests that the extraction of full units weakens the processing of subunits while the transitional probability approach suggests that both units and subunits should strengthen. Previous findings using (...)
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