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            Linguistic variation, identity construction and cognition

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            Author(s)
            K. Drager, Katie
            Collection
            Knowledge Unlatched (KU)
            Language
            English
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            Abstract
            Speakers use a variety of different linguistic resources in the construction of their identities, and they are able to do so because their mental representations of linguistic and social information are linked. While the exact nature of these representations remains unclear, there is growing evidence that they encode a great deal more phonetic detail than traditionally assumed and that the phonetic detail is linked with word-based information. This book investigates the ways in which a lemma’s phonetic realisation depends on a combination of its grammatical function and the speaker’s social group. This question is investigated within the context of the word like as it is produced and perceived by students at an all girls’ high school in New Zealand. The results are used to inform an exemplar-based model of speech production and perception in which the quality and frequency of linguistic and non-linguistic variants contribute to a speaker’s style.
            URI
            https://doab-dev.siscern.org/handle/20.500.12854/182494
            Keywords
            mental representations; personal identity; speech production and perception; phonetic detail in mental representations; speaker's social group; Discourse marker; Goths; Grammatical relation; Quotative; Vowel; thema EDItEUR::C Language and Linguistics::CF Linguistics
            DOI
            10.26530/OAPEN_603352
            ISBN
            9783946234258;9783944675565
            Publisher
            Language Science Press
            Publisher website
            http://langsci-press.org/
            Publication date and place
            2015
            Grantor
            • Knowledge Unlatched
            Series
            Studies in Laboratory Phonology,
            Pages
            244
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              This project received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 871069.

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