Predicting the presence of a Matrix Language in code-switching

Barbara Bullock, Wally Guzmán, Jacqueline Serigos, Vivek Sharath, Almeida Jacqueline Toribio


Abstract
One language is often assumed to be dominant in code-switching but this assumption has not been empirically tested. We operationalize the matrix language (ML) at the level of the sentence, using three common definitions from linguistics. We test whether these converge and then model this convergence via a set of metrics that together quantify the nature of C-S. We conduct our experiment on four Spanish-English corpora. Our results demonstrate that our model can separate some corpora according to whether they have a dominant ML or not but that the corpora span a range of mixing types that cannot be sorted neatly into an insertional vs. alternational dichotomy.
Anthology ID:
W18-3208
Volume:
Proceedings of the Third Workshop on Computational Approaches to Linguistic Code-Switching
Month:
July
Year:
2018
Address:
Melbourne, Australia
Editors:
Gustavo Aguilar, Fahad AlGhamdi, Victor Soto, Thamar Solorio, Mona Diab, Julia Hirschberg
Venue:
ACL
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
68–75
Language:
URL:
https://aclanthology.org/W18-3208
DOI:
10.18653/v1/W18-3208
Bibkey:
Cite (ACL):
Barbara Bullock, Wally Guzmán, Jacqueline Serigos, Vivek Sharath, and Almeida Jacqueline Toribio. 2018. Predicting the presence of a Matrix Language in code-switching. In Proceedings of the Third Workshop on Computational Approaches to Linguistic Code-Switching, pages 68–75, Melbourne, Australia. Association for Computational Linguistics.
Cite (Informal):
Predicting the presence of a Matrix Language in code-switching (Bullock et al., ACL 2018)
Copy Citation:
PDF:
https://aclanthology.org/W18-3208.pdf
Data
Universal Dependencies