Abstract
Previous research has shown that the number of phonologically similar items influences the processing of spoken words (e.g., Vitevitch, 2002; Vitevitch and Luce, 1998). The present experiment examines the influence of semantic similarity on the speed and accuracy of spoken word recognition using a lexical decision task. Semantic density refers to the number of words that are semantically associated to a given word (Nelson, McEvoy, and Schreiber, 1998). A word that has relatively many semantically associated words has high semantic density and a word that has relatively few semantically associated words has low semantic density. The results showed that words with high semantic density were responded to more quickly and accurately than words with low semantic density, suggesting that semantic information influences spoken word recognition.
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