6 found
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  1. Perceptual Inference Through Global Lexical Similarity.Brendan T. Johns & Michael N. Jones - 2012 - Topics in Cognitive Science 4 (1):103-120.
    The literature contains a disconnect between accounts of how humans learn lexical semantic representations for words. Theories generally propose that lexical semantics are learned either through perceptual experience or through exposure to regularities in language. We propose here a model to integrate these two information sources. Specifically, the model uses the global structure of memory to exploit the redundancy between language and perception in order to generate inferred perceptual representations for words with which the model has no perceptual experience. We (...)
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  2.  9
    A Large‐Scale Analysis of Variance in Written Language.Brendan T. Johns & Randall K. Jamieson - 2018 - Cognitive Science 42 (4):1360-1374.
    The collection of very large text sources has revolutionized the study of natural language, leading to the development of several models of language learning and distributional semantics that extract sophisticated semantic representations of words based on the statistical redundancies contained within natural language. The models treat knowledge as an interaction of processing mechanisms and the structure of language experience. But language experience is often treated agnostically. We report a distributional semantic analysis that shows written language in fiction books varies appreciably (...)
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  3.  4
    Mining a Crowdsourced Dictionary to Understand Consistency and Preference in Word Meanings.Brendan T. Johns - 2019 - Frontiers in Psychology 10.
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    The Role of Semantic Diversity in Word Recognition Across Aging and Bilingualism.Brendan T. Johns, Christine L. Sheppard, Michael N. Jones & Vanessa Taler - 2016 - Frontiers in Psychology 7.
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    Disentangling Contextual Diversity: Communicative Need as a Lexical Organizer.Brendan T. Johns - 2021 - Psychological Review 128 (3):525-557.
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    The Role of Negative Information in Distributional Semantic Learning.Brendan T. Johns, Douglas J. K. Mewhort & Michael N. Jones - 2019 - Cognitive Science 43 (5):e12730.
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