A central question in spoken word recognition research is whether words are recognized relationally, in the context of other words in the mental lexicon [1, 2]. The current research evaluated metrics for measuring the influence of the mental lexicon on visually perceived (lipread) spoken word recognition. Lexical competition (the extent to which perceptually similar words influence recognition of a stimulus word) was quantified using metrics that are well-established in the literature, as well as a novel statistical method for calculating perceptual confusability, based on the Phi-square statistic.The Phi-square statistic proved an effective measure for assessing lexical competition and explained significant variance in visual spoken word recognition beyond that accounted for by traditional metrics. Because these values include the influence of all words in the lexicon (rather than only perceptually very similar words), it suggests that even perceptually distant words may receive some activation, and therefore provide competition, during spoken word recognition. This work supports and extends earlier research [3] that proposed a common recognition system underlying auditory and visual spoken word recognition and provides support for the use of the Phi-square statistic for quantifying lexical competition.

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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3002260PMC
http://dx.doi.org/10.1016/j.specom.2010.09.003DOI Listing

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