Title Pending 10229

IF 0.9 2区 文学 0 LANGUAGE & LINGUISTICS
Hannah Lutzenberger, Katie Mudd, Rose Stamp, Adam Charles Schembri
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引用次数: 0

Abstract

Claims have been made about the relationship between the degree of lexical variation and the social structure of a sign language community (e.g., population size), but to date there exist no large-scale cross-linguistic comparisons to address these claims. In this study, we present a cross-linguistic analysis of lexical variation in three signing communities: Kata Kolok, Israeli Sign Language (ISL) and British Sign Language (BSL). Contrary to the prediction that BSL would have the lowest degree of lexical variation because it has the largest population size, we found that BSL has the highest degree of lexical variation across the entire community (i.e., at the global level). We find, however, that BSL has the lowest degree of lexical variation at the local level, i.e., within clusters of participants who group most similarly lexically. Kata Kolok and ISL, on the other hand, exhibit less of a distinction between variation at the global and local levels, suggesting that lexical variation does not pattern as strongly within subsets of these two communities as does BSL. The results of this study require us to reassess claims made about lexical variation and community structure; we need to move towards an approach of studying (lexical) variation which treats communities equally on a theoretical level and which respects the unique social-demographic profile of each community when designing the analysis by using a community-centered approach.
待定标题10229
关于词汇变化程度与手语社区的社会结构(如人口规模)之间的关系,已经提出了一些主张,但迄今为止,还没有大规模的跨语言比较来解决这些主张。本研究对Kata Kolok、以色列手语(ISL)和英国手语(BSL)三个手语群体的词汇变异进行了跨语言分析。与预测车贴语的词汇变异程度最低(因为它拥有最大的群体规模)相反,我们发现车贴语在整个社区(即全球层面)的词汇变异程度最高。然而,我们发现车贴语在局部水平上的词汇变异程度最低,即在词汇最相似的参与者群内。另一方面,Kata Kolok和ISL在全球和地方层面的变化之间表现出较少的差异,这表明词汇变化在这两个群体的子集中并不像车语那样强烈。这项研究的结果要求我们重新评估关于词汇变化和社区结构的说法;我们需要转向一种研究(词汇)变化的方法,这种方法在理论层面上平等对待社区,并在使用以社区为中心的方法设计分析时尊重每个社区独特的社会人口特征。
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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来源期刊
CiteScore
2.10
自引率
10.00%
发文量
87
审稿时长
62 weeks
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