CMIR: A Corpus for Evaluation of Code Mixed Information Retrieval of Hindi-English Tweets

Authors

  • Kunal Chakma National Institute of Technology Agartala
  • Amitava Das Indian Institute of Information Technology

DOI:

https://doi.org/10.13053/cys-20-3-2459

Keywords:

Code-mixed social media, code-mixing, code-mixed IR.

Abstract

Social media has become almost ubiquitous in present times. Such proliferation leads to automatic information processing need and has various challenges. The nature of social media content is mostly informal. Additionally while talking about Indian social media, users often prefer to use Roman transliterations of their native languages and English embedding. Therefore Information retrieval (IR) on such Indian social media data is a challenging and difficult task when the documents and the queries are a mixture of two or more languages written in either the native scripts and/or in the Roman transliterated form. Here in this paper we have emphasized issues related with Information Retrieval (IR) for Code-Mixed Indian social media texts, particularly texts from twitter. We describe a corpus collection process, reported limitations of available state-of-the-art IR systems on such data and formalize the problem of Code-Mixed Information Retrieval on informal texts.

Author Biographies

Kunal Chakma, National Institute of Technology Agartala

Is Assistant Professor in Department of Computer Science and Engineering at National Institute of Technology Agartala, India.

Amitava Das, Indian Institute of Information Technology

Is Assistant Professor in Department of Computer Science and Engineering at Indian Institute of Information Technology Sri City, Andhra Pradesh, India.

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Published

2016-09-30

Issue

Vol. 20 No. 3 (2016): Thematic Issue: Natural Language Processing and Computational Linguistics (Guest Editor: Alexander Gelbukh)

Section

Articles

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