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Direct linkCunningham, Kevin T.; Haley, Katarina L. – Journal of Speech, Language, and Hearing Research, 2020
Purpose: The purpose of this study was to compare the utility of two automated indices of lexical diversity, the Moving-Average Type-Token Ratio (MATTR) and the Word Information Measure (WIM), in predicting aphasia diagnosis and responding to differences in severity and aphasia subtype. Method: Transcripts of a single discourse task were analyzed…
Descriptors: Discourse Analysis, Aphasia, Comparative Analysis, Accuracy
Castro, Nichol; Stella, Massimo; Siew, Cynthia S. Q. – Cognitive Science, 2020
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…
Descriptors: Semantics, Phonology, Aphasia, Brain Hemisphere Functions
Sheppard, Shannon M.; Walenski, Matthew; Love, Tracy; Shapiro, Lewis P. – Journal of Speech, Language, and Hearing Research, 2015
Purpose: This study examines 3 hypotheses about the processing of "wh"-questions in both neurologically healthy adults and adults with Broca's aphasia. Method: We used an eye tracking while listening method with 32 unimpaired participants (Experiment 1) and 8 participants with Broca's aphasia (Experiment 2). Accuracy, response time, and…
Descriptors: Aphasia, Accuracy, Brain Hemisphere Functions, Interference (Language)
