Shared Lexical Items as Triggers of Code Switching

Author:

Wintner Shuly1,Shehadi Safaa2,Zeira Yuli3,Osmelak Doreen4,Nov Yuval5

Affiliation:

1. Department of Computer Science, University of Haifa, Israel. shuly@cs.haifa.ac.il

2. Department of Computer Science, University of Haifa, Israel. safa.shehadi@gmail.com

3. Department of Computer Science, University of Haifa, Israel. yuli.zeira@gmail.com

4. Department of Language Science and Technology, Universität des Saarlandes, Germany. s9doosme@stud.uni-saarland.de

5. School of Public Health, University of Haifa, Israel. yuval@stat.haifa.ac.il

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.

Publisher

MIT Press

Subject

Artificial Intelligence,Computer Science Applications,Linguistics and Language,Human-Computer Interaction,Communication

Reference44 articles.

1. LinCE: A centralized benchmark for linguistic code-switching evaluation;Aguilar,2020

2. Borrowing or codeswitching? Annotating for finer-grained distinctions in language mixing;Alvarez-Mellado,2022

3. The role of semantic specificity in insertional codeswitching: Evidence from Dutch–Turkish;Ad,2001

4. Language style as audience design;Bell;Language in Society,1984

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3