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        <title>Surprisal Predicts Code-Switching in Chinese-English Bilingual Text</title>
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    <abstract>Why do bilinguals switch languages within a sentence? The present observational study asks whether word surprisal and word entropy predict code-switching in bilingual written conversation. We describe and model a new dataset of Chinese-English text with 1476 clean code-switched sentences, translated back into Chinese. The model includes known control variables together with word surprisal and word entropy. We found that word surprisal, but not entropy, is a significant predictor that explains code-switching above and beyond other well-known predictors. We also found sentence length to be a significant predictor, which has been related to sentence complexity. We propose high cognitive effort as a reason for code-switching, as it leaves fewer resources for inhibition of the alternative language. We also corroborate previous findings, but this time using a computational model of surprisal, a new language pair, and doing so for written language.</abstract>
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%0 Conference Proceedings
%T Surprisal Predicts Code-Switching in Chinese-English Bilingual Text
%A Calvillo, Jesús
%A Fang, Le
%A Cole, Jeremy
%A Reitter, David
%S Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)
%D 2020
%8 November
%I Association for Computational Linguistics
%C Online
%F calvillo-etal-2020-surprisal
%X Why do bilinguals switch languages within a sentence? The present observational study asks whether word surprisal and word entropy predict code-switching in bilingual written conversation. We describe and model a new dataset of Chinese-English text with 1476 clean code-switched sentences, translated back into Chinese. The model includes known control variables together with word surprisal and word entropy. We found that word surprisal, but not entropy, is a significant predictor that explains code-switching above and beyond other well-known predictors. We also found sentence length to be a significant predictor, which has been related to sentence complexity. We propose high cognitive effort as a reason for code-switching, as it leaves fewer resources for inhibition of the alternative language. We also corroborate previous findings, but this time using a computational model of surprisal, a new language pair, and doing so for written language.
%R 10.18653/v1/2020.emnlp-main.330
%U https://aclanthology.org/2020.emnlp-main.330
%U https://doi.org/10.18653/v1/2020.emnlp-main.330
%P 4029-4039

Markdown (Informal)

[Surprisal Predicts Code-Switching in Chinese-English Bilingual Text](https://aclanthology.org/2020.emnlp-main.330) (Calvillo et al., EMNLP 2020)

• Surprisal Predicts Code-Switching in Chinese-English Bilingual Text (Calvillo et al., EMNLP 2020)

ACL

• Jesús Calvillo, Le Fang, Jeremy Cole, and David Reitter. 2020. Surprisal Predicts Code-Switching in Chinese-English Bilingual Text. In Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP), pages 4029–4039, Online. Association for Computational Linguistics.