A large-scale smartphone-based sociophonetic study of Taiwan Mandarin

IF 0.2 0 LANGUAGE & LINGUISTICS Asia-Pacific Language Variation Pub Date : 2018-12-31 DOI:10.1075/APLV.18005.KUO
Jennifer Kuo
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引用次数: 3

Abstract

This study aims to (i) identify patterns of sociophonetic variation in Taiwan Mandarin, and (ii) evaluate smartphone technologies as a tool for crowdsourcing sociophonetic data. Specifically, this study examines both phonological variables found in prior literature to be highly salient (deretroflexion, labiovelar glide deletion), and variables that are less likely to index social properties (merging of final /n, ŋ/, changes to Tones 2 and 3). Unlike past studies which have primarily relied on smaller sample sizes, I utilize a smartphone application to crowdsource audio recordings across Taiwan; subsequent Rbrul analysis of 292 recordings revealed robust patterns of sociolinguistic variation. Deretroflexion correlates strongly with gender and age, while glide deletion correlates with gender. Nasal final merging and tonal change exhibit less socio-indexical variation, but provide evidence of potential change in progress. These findings suggest that smartphone-based crowdsourcing can complement traditional sociolinguistic fieldwork, and reveal new knowledge about large-scale variation.
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基于智能手机的台湾普通话社会语音研究
本研究旨在(i)识别台湾普通话的社会语音变异模式,以及(ii)评估智能手机技术作为众包社会语音数据的工具。具体而言,本研究考察了先前文献中发现的高度显著的语音变量(去屈肌、上唇滑动缺失)和不太可能反映社会属性的变量(词尾/n、ŋ/、音调2和3的变化的合并)。与过去主要依赖较小样本量的研究不同,我使用智能手机应用程序在台湾各地众包录音;随后对292段录音进行的Rbrul分析揭示了社会语言学变异的强大模式。屈曲与性别和年龄密切相关,而滑动缺失与性别相关。鼻腔最终融合和音调变化表现出较少的社会指数变化,但提供了进展中潜在变化的证据。这些发现表明,基于智能手机的众包可以补充传统的社会语言学实地调查,并揭示关于大规模变异的新知识。
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来源期刊
CiteScore
2.10
自引率
12.50%
发文量
0
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