ERIC Number: EJ1092179
Record Type: Journal
Publication Date: 2016-Mar
Abstractor: As Provided
Reference Count: 70
Spoken Word Recognition and Serial Recall of Words from Components in the Phonological Network
Siew, Cynthia S. Q.; Vitevitch, Michael S.
Journal of Experimental Psychology: Learning, Memory, and Cognition, v42 n3 p394-410 Mar 2016
Network science uses mathematical techniques to study complex systems such as the phonological lexicon (Vitevitch, 2008). The phonological network consists of a "giant component" (the largest connected component of the network) and "lexical islands" (smaller groups of words that are connected to each other, but not to the giant component). To determine if the component that a word resided in influenced lexical processing, language-related tasks (naming, lexical decision, and serial recall) were used to compare the processing of words from the giant component and from lexical islands. Results showed that words from lexical islands were recognized more quickly and recalled more accurately than words from the giant component. These findings can be accounted for via the diffusion of activation across a network. Implications for models of spoken word recognition and network science are also discussed.
Descriptors: Speech Communication, Experimental Psychology, Recall (Psychology), Word Recognition, Phonology, Language Processing, Networks, Auditory Stimuli, College Students, Word Frequency, Proximity, Reaction Time, Accuracy, Regression (Statistics)
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Publication Type: Journal Articles; Reports - Research
Education Level: Higher Education; Postsecondary Education
Authoring Institution: N/A
Identifiers - Location: Kansas