CMIR: A Corpus for Evaluation of Code Mixed Information Retrieval of Hindi-English Tweets
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| Format: | Artículo científico |
| Langue: | en |
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Instituto Politécnico Nacional
2016
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| _version_ | 1876457214031429632 |
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| author | Kunal Chakma |
| author_facet | Kunal Chakma |
| contents | CMIR: A Corpus for Evaluation of Code Mixed Information Retrieval of Hindi-English Tweets Kunal Chakma Amitava Das Computación Code code mixing mixed IR mixed social media 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. 2016 artículo científico 1405-5546 https://www.redalyc.org/articulo.oa?id=61547469011 en http://www.redalyc.org/revista.oa?id=615 Computación y Sistemas application/pdf Instituto Politécnico Nacional Computación y Sistemas (México) Num.3 Vol.20 |
| format | Artículo científico |
| id | redalyc_61547469011 |
| institution | Redalyc |
| language | en |
| publishDate | 2016 |
| publisher | Instituto Politécnico Nacional |
| spellingShingle | CMIR: A Corpus for Evaluation of Code Mixed Information Retrieval of Hindi-English Tweets Kunal Chakma Computación Code code mixing mixed IR mixed social media CMIR: A Corpus for Evaluation of Code Mixed Information Retrieval of Hindi-English Tweets Kunal Chakma Amitava Das Computación Code code mixing mixed IR mixed social media 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. 2016 artículo científico 1405-5546 https://www.redalyc.org/articulo.oa?id=61547469011 en http://www.redalyc.org/revista.oa?id=615 Computación y Sistemas application/pdf Instituto Politécnico Nacional Computación y Sistemas (México) Num.3 Vol.20 |
| title | CMIR: A Corpus for Evaluation of Code Mixed Information Retrieval of Hindi-English Tweets |
| topic | Computación Code code mixing mixed IR mixed social media |
| url | https://www.redalyc.org/articulo.oa?id=61547469011 |