Shared Lexical Items as Triggers of Code Switching

IF 4.2 1区 计算机科学 Q2 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Transactions of the Association for Computational Linguistics Pub Date : 2023-08-29 DOI:10.1162/tacl_a_00613
S. Wintner, Safaa Shehadi, Yuli Zeira, Doreen Osmelak, Yuval Nov
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Abstract

Abstract Why do bilingual speakers code-switch (mix their two languages)? Among the several theories that attempt to explain this natural and ubiquitous phenomenon, the triggering hypothesis relates code-switching to the presence of lexical triggers, specifically cognates and proper names, adjacent to the switch point. We provide a fuller, more nuanced and refined exploration of the triggering hypothesis, based on five large datasets in three language pairs, reflecting both spoken and written bilingual interactions. Our results show that words that are assumed to reside in a mental lexicon shared by both languages indeed trigger code-switching, that the tendency to switch depends on the distance of the trigger from the switch point and on whether the trigger precedes or succeeds the switch, but not on the etymology of the trigger words. We thus provide strong, robust, evidence-based confirmation to several hypotheses on the relationships between lexical triggers and code-switching.
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共享词条是代码转换的触发器
摘要 为什么说二语的人会进行语码转换(混合使用两种语言)?在试图解释这一无处不在的自然现象的几种理论中,"触发假说"(triggering hypothesis)将代码转换与词汇触发器(特别是与转换点相邻的同义词和专有名词)的存在联系起来。我们基于三个语言对的五个大型数据集,对触发假说进行了更全面、更细致、更精炼的探讨,这些数据集反映了口语和书面双语互动。我们的研究结果表明,假设存在于两种语言共享的心理词典中的词确实会触发代码转换,转换倾向取决于触发词与转换点的距离,以及触发词是在转换之前还是之后,但与触发词的词源无关。因此,我们为关于词汇触发和代码转换之间关系的几个假设提供了强有力的、基于证据的证实。
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来源期刊
CiteScore
32.60
自引率
4.60%
发文量
58
审稿时长
8 weeks
期刊介绍: The highly regarded quarterly journal Computational Linguistics has a companion journal called Transactions of the Association for Computational Linguistics. This open access journal publishes articles in all areas of natural language processing and is an important resource for academic and industry computational linguists, natural language processing experts, artificial intelligence and machine learning investigators, cognitive scientists, speech specialists, as well as linguists and philosophers. The journal disseminates work of vital relevance to these professionals on an annual basis.
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