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dc.contributor.authorJose, Navya
dc.contributor.authorChakravarthi, Bharathi Raja
dc.contributor.authorSuryawanshi, Shardul
dc.contributor.authorSherly, Elizabeth
dc.contributor.authorMcCrae, John P.
dc.identifier.citationJose, Navya, Chakravarthi, Bharathi Raja, Suryawanshi, Shardul, Sherly, Elizabeth, & McCrae, John P. (2020). A survey of current datasets for code-switching research. Paper presented at the 6th International Conference on Advanced Computing and Communication Systems (ICACCS), Coimbatore, India, 06-07 March, doi: 10.1109/ICACCS48705.2020.9074205.en_IE
dc.description.abstractCode 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-ofspeech 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.en_IE
dc.relation.ispartof2020 6th International Conference on Advanced Computing and Communication Systems (ICACCS)en
dc.subjectcode switchingen_IE
dc.subjectnatural language processingen_IE
dc.titleA survey of current datasets for code-switching researchen_IE
dc.typeConference Paperen_IE
dc.local.contactShardul Suryawanshi, Ida Business Park, Lower Dangan, Galway. Email:

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