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A Survey of Current Datasets for Code-Switching Research

  • Navya Jose
  • , Bharathi Raja Chakravarthi
  • , Suryawanshi Suryawanshi
  • , Elizabeth Sherly
  • , John Philip McCrae
  • Indian Institute of Information Technology and Management
  • University of Galway

Research output: Chapter in Book or Conference Publication/Proceeding › Conference Publication › peer-review

136 Citations (Scopus)

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.

Original languageEnglish
Title of host publication2020 6th International Conference on Advanced Computing and Communication Systems, ICACCS 2020
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages136-141
Number of pages6
ISBN (Electronic)9781728151977
DOIs
Publication statusPublished - Mar 2020
Event6th International Conference on Advanced Computing and Communication Systems, ICACCS 2020 - Coimbatore, India
Duration: 6 Mar 2020 → 7 Mar 2020

Publication series

Name2020 6th International Conference on Advanced Computing and Communication Systems, ICACCS 2020

Conference

Conference6th International Conference on Advanced Computing and Communication Systems, ICACCS 2020
Country/TerritoryIndia
CityCoimbatore
Period6/03/20 → 7/03/20

Keywords

  • code switching
  • dataset
  • natural language processing

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