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- W2053844650 abstract "Exemplar-based models of memory have been successful in accounting for a variety of recall and recognition data in general cognitive psychology, and provide an interesting counter-point to other more “standard” models of the mental lexicon. This talk will discuss the ways that the exemplar-based lexicon deals with spoken language variability in auditory word recognition: with emphasis on talker normalization, cross-dialect speech perception, and the recognition of highly variable conversational speech. I will also discuss the use of exemplar-based models in the linguistic theory of sound change, and the relationship between exemplar-based models and neurophonetics. Although the specific modeling strategy employed in exemplar-based modeling is likely over-simplified and wrong in some ways, the success of this type of model indicates that something true is being captured. I will suggest that what makes exemplar-based models useful is that they provide a way for the theorist to include a role for fine phonetic detail in the representation of phonological representations. The ultimate argument is that phonetic memory is gradient as well as categorical, and should be modeled as such." @default.
- W2053844650 created "2016-06-24" @default.
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- W2053844650 date "2012-09-01" @default.
- W2053844650 modified "2023-09-27" @default.
- W2053844650 title "The exemplar-based lexicon" @default.
- W2053844650 doi "https://doi.org/10.1121/1.4755551" @default.
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