文章基本信息

标题：CMIR: A Corpus for Evaluation of Code Mixed Information Retrieval of Hindi-English Tweets
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作者：Kunal Chakma ; Amitava Das
期刊名称：Computación y Sistemas
印刷版ISSN：1405-5546
出版年度：2016
卷号：20
期号：3
页码：425-434
语种：English
出版社：Instituto Politécnico Nacional
其他摘要：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.
其他关键词：Code-mixed social media; code-mixing; code-mixed IR.