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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Hits 1 – 4 of 4 1 Sentence comprehension as a cognitive process : a computational approach Vasishth, Shravan [Verfasser]; Engelmann, Felix [Verfasser]. - Cambridge : Cambridge University Press, 2021 Leibniz-Zentrum Allgemeine Sprachwissenschaft Show details 2 Feature encoding modulates cue-based retrieval: Modeling interference effects in both grammatical and ungrammatical sentences Yadav, Himanshu; Smith, Garrett; Vasishth, Shravan In: Proceedings of the Annual Meeting of the Cognitive Science Society, vol 43, iss 43 (2021) BASE Show details 3 Sample size determination for Bayesian hierarchical models commonly used in psycholinguistics ... Vasishth, Shravan. - : Open Science Framework, 2021 BASE Show details 4 Feature encoding modulates cue-based retrieval: Modeling interference effects in both grammatical and ungrammatical sentences ... 43rd Annual Meeting of the Cognitive Science Society 2021; Smith, Garrett; Vasishth, Shravan; Yadav, Himanshu. - : Underline Science Inc., 2021 Abstract: Studies on similarity-based interference in subject-verb number agreement dependencies have found a consistent facilitatory effect in ungrammatical sentences but no conclusive effect in grammatical sentences. Existing models propose that interference is caused either by a faulty representation of the input (encoding-based models) or by difficulty in retrieving the subject based on cues at the verb (retrieval-based models). Neither class of model captures the observed patterns in human reading time data. We propose a new model that integrates a feature encoding mechanism into an existing cue-based retrieval model. Our model outperforms the cue-based retrieval model in explaining interference effect data from both grammatical and ungrammatical sentences. These modeling results yield a new insight into sentence processing, encoding modulates retrieval. Nouns stored in memory undergo feature distortion, which in turn affects how retrieval unfolds during dependency completion. ... Keyword: Cognitive Linguistics; Cognitive Science; Neurolinguistics; Pragmaliguistics; Psycholinguistics URL: https://underline.io/lecture/27028-feature-encoding-modulates-cue-based-retrieval-modeling-interference-effects-in-both-grammatical-and-ungrammatical-sentences https://dx.doi.org/10.48448/qs3j-x262 BASE Hide details

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