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.- Anthology ID:
- P19-1625
- Volume:
- Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics
- Month:
- July
- Year:
- 2019
- Address:
- Florence, Italy
- Venue:
- ACL
- SIG:
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 6204–6214
- Language:
- URL:
- https://aclanthology.org/P19-1625
- DOI:
- 10.18653/v1/P19-1625
- Cite (ACL):
- Innocent Ndubuisi-Obi, Sayan Ghosh, and David Jurgens. 2019. Wetin dey with these comments? Modeling Sociolinguistic Factors Affecting Code-switching Behavior in Nigerian Online Discussions. In Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics, pages 6204–6214, Florence, Italy. Association for Computational Linguistics.
- Cite (Informal):
- Wetin dey with these comments? Modeling Sociolinguistic Factors Affecting Code-switching Behavior in Nigerian Online Discussions (Ndubuisi-Obi et al., ACL 2019)
- PDF:
- https://preview.aclanthology.org/ingestion-script-update/P19-1625.pdf