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  1. Representing composed meanings through temporal binding.Hugh Rabagliati, Leonidas A. A. Doumas & Douglas K. Bemis - 2017 - Cognition 162:61-72.
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  • Cue Combinatorics in Memory Retrieval for Anaphora.Dan Parker - 2019 - Cognitive Science 43 (3):e12715.
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  • Commentary: A Compositional Neural Architecture for Language.Elliot Murphy - 2020 - Frontiers in Psychology 11.
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  • Can structural priming answer the important questions about language?Andrea E. Martin, Falk Huettig & Mante S. Nieuwland - 2017 - Behavioral and Brain Sciences 40.
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  • Individual Differences in Verb Bias Sensitivity in Children and Adults With Developmental Language Disorder.Jessica E. Hall, Amanda Owen Van Horne & Thomas A. Farmer - 2019 - Frontiers in Human Neuroscience 13.
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  • Information in Explaining Cognition: How to Evaluate It?Nir Fresco - 2022 - Philosophies 7 (2):28.
    The claims that “The brain processes information” or “Cognition is information processing” are accepted as truisms in cognitive science. However, it is unclear how to evaluate such claims absent a specification of “information” as it is used by neurocognitive theories. The aim of this article is, thus, to identify the key features of information that information-based neurocognitive theories posit. A systematic identification of these features can reveal the explanatory role that information plays in specific neurocognitive theories, and can, therefore, be (...)
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  • Readers detect an low-level phonological violation between two parafoveal words.Michael G. Cutter, Andrea E. Martin & Patrick Sturt - 2020 - Cognition 204 (C):104395.
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  • Syllable Inference as a Mechanism for Spoken Language Understanding.Meredith Brown, Michael K. Tanenhaus & Laura Dilley - 2021 - Topics in Cognitive Science 13 (2):351-398.
    A classic problem in cognitive science concerns how listeners perceive and understand speech as comprised of discrete words. We propose a Syllable Inference account of spoken word recognition and segmentation, under which alternative hierarchical models of syllables, words, and phonemes are dynamically posited from cues that include current and past speech rate, with a goal of maximal prediction of sensory input. Three experiments using the Visual World eye‐tracking paradigm provide evidence supporting our proposal.
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  • Natural Language Understanding: Methodological Conceptualization.Vitalii Shymko - 2019 - Psycholinguistics 25 (1):431-443.
    This article contains the results of a theoretical analysis of the phenomenon of natural language understanding (NLU), as a methodological problem. The combination of structural-ontological and informational-psychological approaches provided an opportunity to describe the subject matter field of NLU, as a composite function of the mind, which systemically combines the verbal and discursive structural layers. In particular, the idea of NLU is presented, on the one hand, as the relation between the discourse of a specific speech message and the meta-discourse (...)
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