Predictability Effects of Spanish-English Code-Switching: A Directionality and Part of Speech Analysis

Josh Higdon, Valeria Pagliai, Zoey Liu


Abstract
Research on code-switching (CS), the spontaneous alternation between two or more languages within a discourse, remains relatively new and often limited by the use of elicited production tasks, with some exceptions leveraging naturalistic corpora. This study analyses the effects of language directionality and part-of-speech (POS) tags on Spanish-English CS production between corpus modalities and speech communities. We use data from two spoken corpora: Miami Bangor Corpus (MBC; N = 261,711) and Spanish in Texas Corpus (STC; N = 416,784), as well as the written LinCE Corpus (N=278,093). Bootstrap analyses indicate that Spanish serves as the matrix language (i.e., the most used) for MBC and LinCE, while English is for STC. Logistic regression analyses show that the particle-coordinating conjunction combination was the strongest POS predictor of a CS. The results suggest that corpus modality and the speech community affect matrix language proportions and that both previously attested and unseen POS combinations modulate the production of Spanish-English CS.
Anthology ID:
2025.quasy-1.11
Volume:
Proceedings of the Third Workshop on Quantitative Syntax (QUASY, SyntaxFest 2025)
Month:
August
Year:
2025
Address:
Ljubljana, Slovenia
Editors:
Xinying Chen, Yaqin Wang
Venues:
Quasy | WS | SyntaxFest
SIG:
SIGPARSE
Publisher:
Association for Computational Linguistics
Note:
Pages:
83–89
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URL:
https://preview.aclanthology.org/transition-to-people-yaml/2025.quasy-1.11/
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Cite (ACL):
Josh Higdon, Valeria Pagliai, and Zoey Liu. 2025. Predictability Effects of Spanish-English Code-Switching: A Directionality and Part of Speech Analysis. In Proceedings of the Third Workshop on Quantitative Syntax (QUASY, SyntaxFest 2025), pages 83–89, Ljubljana, Slovenia. Association for Computational Linguistics.
Cite (Informal):
Predictability Effects of Spanish-English Code-Switching: A Directionality and Part of Speech Analysis (Higdon et al., Quasy-SyntaxFest 2025)
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https://preview.aclanthology.org/transition-to-people-yaml/2025.quasy-1.11.pdf