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Intraspeaker Priming across the New Zealand English Short Front Vowel Shift ...
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Intraspeaker Priming across the New Zealand English Short Front Vowel Shift ...
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Abstract:
A growing body of research in psycholinguistics, corpus linguistics, and sociolinguistics shows that we have a strong tendency to repeat linguistic material that we have recently produced, seen, or heard. The present paper investigates whether priming effects manifest in continuous phonetic variation the way it has been reported in phonological, morphological, and syntactic variation. We analyzed nearly 60,000 tokens of vowels involved in the New Zealand English short front vowel shift (SFVS), a change in progress in which trap/dress move in the opposite direction to kit, from a topic-controlled corpus of monologues (166 speakers), to test for effects that are characteristic of priming phenomena: repetition, decay, and lexical boost. Our analysis found evidence for all three effects. Tokens that were relatively high and front tended to be followed by tokens that were also high and front; the repetition effect weakened with greater time between the prime and target; and the repetition effect was stronger if ...
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Keyword:
200199 Communication and Media Studies not elsewhere classified; 200399 Language Studies not elsewhere classified; Education; FOS Languages and literature; FOS Media and communications; FOS Sociology; Sociology
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URL: https://dx.doi.org/10.25384/sage.c.5827118 https://sage.figshare.com/collections/Intraspeaker_Priming_across_the_New_Zealand_English_Short_Front_Vowel_Shift/5827118
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sj-pdf-1-las-10.1177_00238309211053033 – Supplemental material for Intraspeaker Priming across the New Zealand English Short Front Vowel Shift ...
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sj-pdf-1-las-10.1177_00238309211053033 – Supplemental material for Intraspeaker Priming across the New Zealand English Short Front Vowel Shift ...
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From categories to gradience: Auto-coding sociophonetic variation with random forests
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In: Laboratory Phonology: Journal of the Association for Laboratory Phonology; Vol 11, No 1 (2020); 6 ; 1868-6354 (2020)
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From categories to gradience: Auto-coding sociophonetic variation with random forests
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