The emergence of systematic argument distinctions in artificial sign languages

IF 2.1 0 LANGUAGE & LINGUISTICS Journal of Language Evolution Pub Date : 2021-06-18 DOI:10.7488/DS/2852
Yasamin Motamedi, Kenny Smith, M. Schouwstra, J. Culbertson, S. Kirby
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引用次数: 9

Abstract

Word order is a key property by which languages indicate the relationship between a predicate and its arguments. However, sign languages use a number of other modality-specific tools in addition to word order such as spatial agreement, which has been likened to verbal agreement in spoken languages, and role shift, where the signer takes on characteristics of propositional agents. In particular, data from emerging sign languages suggest that, though some use of a conventional word order can appear within a few generations, systematic spatial modulation as a grammatical feature takes time to develop. We experimentally examine the emergence of systematic argument marking beyond word order, investigating how artificial gestural systems evolve over generations of participants in the lab. We find that participants converge on different strategies to disambiguate clause arguments, which become more consistent through the use and transmission of gestures; in some cases, this leads to conventionalized iconic spatial contrasts, comparable to those found in natural sign languages. We discuss how our results connect with theoretical issues surrounding the analysis of spatial agreement and role shift in established and newly emerging sign languages, and the possible mechanisms behind its evolution.
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人工手语中系统论证差异的出现
语序是语言用来表示谓词及其参数之间关系的关键属性。然而,除了语序之外,手语还使用了许多其他特定于情态的工具,比如空间协议,这被比作口头语言中的口头协议,以及角色转换,在这种情况下,签字人具有命题代理的特征。特别是,来自新兴手语的数据表明,尽管一些传统词序的使用可以在几代人内出现,但系统的空间调制作为一种语法特征需要时间来发展。我们通过实验研究了超越语序的系统论证标记的出现,研究了人工手势系统是如何在实验室的几代参与者中进化的。我们发现参与者倾向于使用不同的策略来消除子句论点的歧义,这些策略通过手势的使用和传递变得更加一致;在某些情况下,这导致了约定俗成的标志性空间对比,与自然手语中的对比相当。我们讨论了我们的研究结果如何与现有和新兴手语中空间一致性和角色转换分析的理论问题联系起来,以及其演变背后的可能机制。
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来源期刊
Journal of Language Evolution
Journal of Language Evolution Social Sciences-Linguistics and Language
CiteScore
4.50
自引率
7.70%
发文量
8
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