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  1. Quantifying the Interplay of Semantics and Phonology During Failures of Word Retrieval by People With Aphasia Using a Multiplex Lexical Network.Nichol Castro, Massimo Stella & Cynthia S. Q. Siew - 2020 - Cognitive Science 44 (9):e12881.
    Investigating instances where lexical selection fails can lead to deeper insights into the cognitive machinery and architecture supporting successful word retrieval and speech production. In this paper, we used a multiplex lexical network approach that combines semantic and phonological similarities among words to model the structure of the mental lexicon. Network measures at different levels of analysis (degree, network distance, and closeness centrality) were used to investigate the influence of network structure on picture naming accuracy and errors by people with (...)
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  • Global and Local Feature Distinctiveness Effects in Language Acquisition.Cynthia S. Q. Siew - 2021 - Cognitive Science 45 (7):e13008.
    Various aspects of semantic features drive early vocabulary development, but less is known about how the global and local structure of the overall semantic feature space influences language acquisition. A feature network of English words was constructed from a large database of adult feature production norms such that edges in the network represented feature distances between words (i.e., Manhattan distances of probability distributions of features elicited for each pair of words). A word's global feature distinctiveness is measured with respect to (...)
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  • Cohort and Rhyme Priming Emerge from the Multiplex Network Structure of the Mental Lexicon.Massimo Stella - 2018 - Complexity 2018:1-14.
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