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A Survey of Current Datasets for Code-Switching Research

Authors: 

Navya Jose, Bharathi Raja, Shardul Suryawanshi, Elizabeth Sherly, John McCrae

Publication Type: 
Refereed Conference Meeting Proceeding
Abstract: 
Code switching is a prevalent phenomenon in the multilingual community and social media interaction. In the past ten years, we have witnessed an explosion of code switched data in the social media that brings together languages from low resourced languages to high resourced languages in the same text, sometimes written in a non-native script. This increases the demand for processing code-switched data to assist users in various natural language processing tasks such as part-of-speech tagging, named entity recognition, sentiment analysis, conversational systems, and machine translation, etc. The available corpora for code switching research played a major role in advancing this area of research. In this paper, we propose a set of quality metrics to evaluate the dataset and categorize them accordingly.
Conference Name: 
2020 6th International Conference on Advanced Computing and Communication Systems (ICACCS)
Proceedings: 
2020 6th International Conference on Advanced Computing and Communication Systems (ICACCS)
Digital Object Identifer (DOI): 
10.1109/ICACCS48705.2020.9074205
Publication Date: 
06/03/2020
Pages: 
136-141
Conference Location: 
India
Research Group: 
Institution: 
National University of Ireland, Galway (NUIG)
Open access repository: 
Yes
Publication document: