Measuring Entrainment in Spontaneous Code-switched Speech

November 13, 2023 ยท Declared Dead ยท ๐Ÿ› North American Chapter of the Association for Computational Linguistics

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Authors Debasmita Bhattacharya, Siying Ding, Alayna Nguyen, Julia Hirschberg arXiv ID 2311.07703 Category cs.CL: Computation & Language Cross-listed cs.SD, eess.AS Citations 4 Venue North American Chapter of the Association for Computational Linguistics Last Checked 4 months ago
Abstract
It is well-known that speakers who entrain to one another have more successful conversations than those who do not. Previous research has shown that interlocutors entrain on linguistic features in both written and spoken monolingual domains. More recent work on code-switched communication has also shown preliminary evidence of entrainment on certain aspects of code-switching (CSW). However, such studies of entrainment in code-switched domains have been extremely few and restricted to human-machine textual interactions. Our work studies code-switched spontaneous speech between humans, finding that (1) patterns of written and spoken entrainment in monolingual settings largely generalize to code-switched settings, and (2) some patterns of entrainment on code-switching in dialogue agent-generated text generalize to spontaneous code-switched speech. Our findings give rise to important implications for the potentially "universal" nature of entrainment as a communication phenomenon, and potential applications in inclusive and interactive speech technology.
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