Survey of Named Entity Recognition Techniques for Various Indian Regional Languages

  • Kale S
  • Govilkar S
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Abstract

Named entity recognition is a process and study of identification of entities that are proper nouns and classifying them to their appropriate pre-defined class, also called as tag. Named entity recognition is also called as entity chunking, entity identification and entity extraction. It is a sub task of information extraction, where structured text is extracted from unstructured text. Popular applications of NER are machine translation, text mining, data classification, question answering system. This paper presents a survey of different NERC techniques, approach, observations and features for Indian regional languages such as Hindi, Marathi, Bengali, Punjabi, Malayalam, Bengali, Kannada, Telugu, Tamil, Urdu, Oriya. General Terms Your general terms must be any term which can be used for general classification of the submitted material such as Pattern Recognition, Security, Algorithms et. al.

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Kale, S., & Govilkar, S. (2017). Survey of Named Entity Recognition Techniques for Various Indian Regional Languages. International Journal of Computer Applications, 164(4), 37–43. https://doi.org/10.5120/ijca2017913621

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