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Phonetic and phonological dynamics o...
~
Sonderegger, Morgan.
Phonetic and phonological dynamics on reality television.
紀錄類型:
書目-語言資料,印刷品 : Monograph/item
書名/作者:
Phonetic and phonological dynamics on reality television.
作者:
Sonderegger, Morgan.
面頁冊數:
260 p.
附註:
Source: Dissertation Abstracts International, Volume: 74-02(E), Section: A, page: .
Contained By:
Dissertation Abstracts International74-02(E)A.
標題:
Language, Linguistics.
標題:
Sociology, Sociolinguistics.
標題:
Mass Communications.
標題:
Computer Science.
ISBN:
9781267610782
摘要、提要註:
The sounds of a language spoken by an individual, or shared by a speech community, can be seen as both remarkably stable and subject to great change. For example, one's accent intuitively seems very stable over adulthood, especially in comparison to one's constantly changing vocabulary; however, many people report that their accents shifted after moving from one city to another, or due to social pressure. This thesis addresses two questions about stability and change in sound systems, or phonetic and phonological dynamics : what are the dynamics of sound systems in individuals during adulthood, and what causes underly them?
電子資源:
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3526974
Phonetic and phonological dynamics on reality television.
Sonderegger, Morgan.
Phonetic and phonological dynamics on reality television.
- 260 p.
Source: Dissertation Abstracts International, Volume: 74-02(E), Section: A, page: .
Thesis (Ph.D.)--The University of Chicago, 2012.
The sounds of a language spoken by an individual, or shared by a speech community, can be seen as both remarkably stable and subject to great change. For example, one's accent intuitively seems very stable over adulthood, especially in comparison to one's constantly changing vocabulary; however, many people report that their accents shifted after moving from one city to another, or due to social pressure. This thesis addresses two questions about stability and change in sound systems, or phonetic and phonological dynamics : what are the dynamics of sound systems in individuals during adulthood, and what causes underly them?
ISBN: 9781267610782Subjects--Topical Terms:
423211
Language, Linguistics.
Phonetic and phonological dynamics on reality television.
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Source: Dissertation Abstracts International, Volume: 74-02(E), Section: A, page: .
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Adviser: John A. Goldsmith.
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Thesis (Ph.D.)--The University of Chicago, 2012.
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The sounds of a language spoken by an individual, or shared by a speech community, can be seen as both remarkably stable and subject to great change. For example, one's accent intuitively seems very stable over adulthood, especially in comparison to one's constantly changing vocabulary; however, many people report that their accents shifted after moving from one city to another, or due to social pressure. This thesis addresses two questions about stability and change in sound systems, or phonetic and phonological dynamics : what are the dynamics of sound systems in individuals during adulthood, and what causes underly them?
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Previous work has addressed these questions on two timescales. Short-term studies examine shifts in (phonetic and phonological) variables under exposure to the speech of others, e.g. over the course of a conversation. Long-term studies examine shifts in variables between time points separated by years. Short-term shifts are fairly robust, with most speakers showing some shift for most variables. Long-term shifts are extremely irregular, with huge variation in the amount of shift among speakers and variables. What is the relationship between the different patterns seen in short-term and long-term dynamics? And more generally, what do the dynamics of sound systems look like at any time scale in between?
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The bulk of the thesis is a "medium-term" case study addressing these questions, using a setting where day-by-day phonetics and phonological dynamics can be observed within individuals: the reality television show Big Brother UK, where speakers live in an isolated house for three months, and are continuously recorded. We consider five variables in six hours of speech from one season of the show: voice onset time, coronal stop deletion, and formant frequencies for three vowels. We build mixed-effect regression models of day-to-day time dependence for each variable, for each of 12 speakers, controlling for linguistic factors. Variability is the norm: speakers and variables show qualitatively different types of time dependence, with a significant minority showing stability. There is some evidence that particular speakers (across variables) and particular variables (across speakers) show characteristic types of time dependence, and that some time dependence is due to style shifting. Long-term time trends do sometimes occur, which could be due to accumulation of short-term shifts. Day-by-day variation is common, but far from universal. These results suggest a tentative account of the relationship between short-term and long-term dynamics, and directions for future work.
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The thesis also addresses two topics closely related to phonetic and phonological dynamics: synchronic variation, and automatic phonetic measurement. For each variable, we build a model of synchronic variation as a preliminary step to modeling the variable's dynamics within speakers; the models for voice onset time and coronal stop deletion turn out to yield interesting and surprising findings with respect to previous work. Many questions of interest about phonetic and phonological dynamics require radically scaling up from the hand-labeled datasets used in most previous work, making automatic measurement methods crucial. Our main methodological contribution is a discriminative, large-margin algorithm for automatic VOT measurement, treated as a case of predicting structured output from speech. The algorithm is tested on data from four corpora representing different types of speech. It achieves performance near human intertranscriber reliability, and compares favorably with previous work.
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http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3526974
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