@inproceedings{ndubuisi-obi-etal-2019-wetin,
title = "Wetin dey with these comments? Modeling Sociolinguistic Factors Affecting Code-switching Behavior in {N}igerian Online Discussions",
author = "Ndubuisi-Obi, Innocent and
Ghosh, Sayan and
Jurgens, David",
editor = "Korhonen, Anna and
Traum, David and
M{\`a}rquez, Llu{\'\i}s",
booktitle = "Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics",
month = jul,
year = "2019",
address = "Florence, Italy",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/P19-1625",
doi = "10.18653/v1/P19-1625",
pages = "6204--6214",
abstract = "Multilingual individuals code switch between languages as a part of a complex communication process. However, most computational studies have examined only one or a handful of contextual factors predictive of switching. Here, we examine Naija-English code switching in a rich contextual environment to understand the social and topical factors eliciting a switch. We introduce a new corpus of 330K articles and accompanying 389K comments labeled for code switching behavior. In modeling whether a comment will switch, we show that topic-driven variation, tribal affiliation, emotional valence, and audience design all play complementary roles in behavior.",
}
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%0 Conference Proceedings
%T Wetin dey with these comments? Modeling Sociolinguistic Factors Affecting Code-switching Behavior in Nigerian Online Discussions
%A Ndubuisi-Obi, Innocent
%A Ghosh, Sayan
%A Jurgens, David
%Y Korhonen, Anna
%Y Traum, David
%Y Màrquez, Lluís
%S Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics
%D 2019
%8 July
%I Association for Computational Linguistics
%C Florence, Italy
%F ndubuisi-obi-etal-2019-wetin
%X Multilingual individuals code switch between languages as a part of a complex communication process. However, most computational studies have examined only one or a handful of contextual factors predictive of switching. Here, we examine Naija-English code switching in a rich contextual environment to understand the social and topical factors eliciting a switch. We introduce a new corpus of 330K articles and accompanying 389K comments labeled for code switching behavior. In modeling whether a comment will switch, we show that topic-driven variation, tribal affiliation, emotional valence, and audience design all play complementary roles in behavior.
%R 10.18653/v1/P19-1625
%U https://aclanthology.org/P19-1625
%U https://doi.org/10.18653/v1/P19-1625
%P 6204-6214
Markdown (Informal)
[Wetin dey with these comments? Modeling Sociolinguistic Factors Affecting Code-switching Behavior in Nigerian Online Discussions](https://aclanthology.org/P19-1625) (Ndubuisi-Obi et al., ACL 2019)
ACL