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Collecting and Annotating Indian Social Media Code-Mixed Corpora

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Computational Linguistics and Intelligent Text Processing (CICLing 2016)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 9624))

Abstract

The pervasiveness of social media in the present digital era has empowered the ‘netizens’ to be more creative and interactive, and to generate content using free language forms that often are closer to spoken language and hence show phenomena previously mainly analysed in speech. One such phenomenon is code-mixing, which occurs when multilingual persons switch freely between the languages they have in common. Code-mixing presents many new challenges for language processing and the paper discusses some of them, taking as a starting point the problems of collecting and annotating three corpora of code-mixed Indian social media text: one corpus with English-Bengali Twitter messages and two corpora containing English-Hindi Twitter and Facebook messages, respectively. We present statistics of these corpora, discuss part-of-speech tagging of the corpora using both a coarse-grained and a fine-grained tag set, and compare their complexity to several other code-mixed corpora based on a Code-Mixing Index.

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Notes

  1. 1.

    http://twitter4j.org/.

  2. 2.

    www.facebook.com/Confessions.IITB.

  3. 3.

    www.tdil-dc.in/tdildcMain/articles/780732DraftPOSTagstandard.pdf.

  4. 4.

    www.ldcil.org/Download/Tagset/LDCIL/6Hindi.pdf.

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Acknowledgements

Thanks to the different researchers who have made their datasets available: the organisers of the shared tasks on code-switching at EMNLP 2014 and in transliteration at FIRE 2014 and FIRE 2015, as well as Dong Nguyen and Seza Doğruöz (respectively University of Twente and Tilburg University, The Netherlands), and Monojit Choudhury and Kalika Bali (both at Microsoft Research India). Thanks also to an anonymous reviewer for extensive and useful comments.

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Authors and Affiliations

  1. National Institute of Technology, Agartala, Tripura, India

    Anupam Jamatia

  2. Norwegian University of Science and Technology, Trondheim, Norway

    Björn Gambäck

  3. Indian Institute of Information Technology, Sri City, Andhra Pradesh, India

    Amitava Das

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  1. Anupam Jamatia
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  2. Björn Gambäck
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  3. Amitava Das
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Correspondence to Anupam Jamatia .

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  1. CIC, Instituto Politécnico Nacional, Mexico City, Mexico

    Alexander Gelbukh

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Jamatia, A., Gambäck, B., Das, A. (2018). Collecting and Annotating Indian Social Media Code-Mixed Corpora. In: Gelbukh, A. (eds) Computational Linguistics and Intelligent Text Processing. CICLing 2016. Lecture Notes in Computer Science(), vol 9624. Springer, Cham. https://doi.org/10.1007/978-3-319-75487-1_32

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  • DOI: https://doi.org/10.1007/978-3-319-75487-1_32

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