How sentence processing sheds light on mixed language creation

Evangelia Adamou
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Abstract

Auer (1999) and O’Shannessy (2012) suggest that codeswitching can become conventionalized, i.e., what is dubbed a “fused lect”, and eventually give rise to a “mixed language”. In this paper I propose that the study of sentence processing can shed light on this process. I discuss recent experimental data from a typologically rare form of mixing, variably termed “fused lect” (Adamou 2010) and “unevenly mixed language” (Adamou and Granqvist 2015), characterized by the conventionalized use of Turkish verbs together with Turkish morphology in a Romani environment. Specifically, Adamou and Shen (2019) conducted two on-line experiments, a picture choice task with sentence auditory stimuli (37 participants) and a word recognition task in sentence context (49 participants). Results from these experiments indicate that language switching costs depend on the degree of conventionalization and support usage-based approaches to language processing. I argue that these findings also lend support to the categorization of fused lects as an intermediate form between codeswitching and mixed languages.
句子处理如何揭示混合语言的创造
Auer(1999)和O’shanessy(2012)认为,代码转换可以变得约定式,即所谓的“融合选择”,并最终产生“混合语言”。在本文中,我提出研究句子加工可以揭示这一过程。我讨论了一种类型学上罕见的混合形式的最新实验数据,这种混合形式被称为“融合语言”(Adamou 2010)和“不均匀混合语言”(Adamou and Granqvist 2015),其特点是在罗姆人环境中使用土耳其语动词和土耳其语形态学。具体而言,Adamou和Shen(2019)进行了两个在线实验,一个是带有句子听觉刺激的图片选择任务(37名参与者),另一个是句子语境中的单词识别任务(49名参与者)。实验结果表明,语言转换成本取决于语言的约定化程度,并支持基于使用的语言处理方法。我认为这些发现也支持将融合语言分类为介于代码转换和混合语言之间的一种中间形式。
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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