Broad, strong, and soft: Using geospatial analysis to understand folk-linguistic terminology

H. Dann, R. Drummond, Sarah Tasker, Chris Montgomery, Sadie Durkacz Ryan, Erin Carrie
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Abstract

This study uses a modified online version of the “draw-a-map” task and Garrett, Williams, and Evans’ (2005b) “keywords” methodology to explore the geospatial distribution of different accent and dialect labels and descriptors in Greater Manchester, UK. Specifically, we consider the distribution of the three most frequent labels related to “accentedness”: Broad, Strong, and Soft, as provided by 349 Greater Manchester residents. This analysis finds that these descriptors were clustered in separate areas of Greater Manchester, suggesting that they were being used to describe perceptually distinct varieties of English. In order to uncover the nuances in these folk-linguistic terms, we consider how they correlate with other concepts emerging from the dataset, finding that they are being used to differentiate between varieties with contrasting social associations. By combining innovative approaches, this study demonstrates how the subtleties of folk-linguistic modes of awareness can be uncovered through in-depth analysis of the terminology employed to describe linguistic variation on a very local scale. In so doing, it paves the way for further development of draw-a-map techniques that will enable similarly nuanced analysis in different regions, thus pushing the sub-discipline forward.
宽、强、软:利用地理空间分析理解民间语言术语
本研究采用经过修改的在线版 "绘制地图 "任务和 Garrett、Williams 和 Evans(2005b)的 "关键词 "方法来探讨英国大曼彻斯特地区不同口音和方言标签及描述符的地理空间分布情况。具体来说,我们考虑了与 "口音 "相关的三个最常见标签的分布情况:由 349 名大曼彻斯特地区居民提供。分析发现,这些描述词集中在大曼彻斯特地区的不同区域,这表明它们被用来描述感知上不同的英语变体。为了揭示这些民间语言术语的细微差别,我们考虑了它们与数据集中出现的其他概念之间的关联,发现它们被用来区分具有不同社会关联的英语变体。通过结合创新方法,本研究展示了如何通过深入分析用于描述地方性语言变异的术语来发现民间语言认知模式的微妙之处。在此过程中,它为绘制地图技术的进一步发展铺平了道路,这种技术将能够在不同地区进行类似的细微分析,从而推动该分支学科向前发展。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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