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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
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| Volume 164 - Issue 4 |
| Published: Apr 2017 |
| Authors: Shrutika Kale, Sharvari Govilkar |
10.5120/ijca2017913621
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Shrutika Kale, Sharvari Govilkar . Survey of Named Entity Recognition Techniques for Various Indian Regional Languages. International Journal of Computer Applications. 164, 4 (Apr 2017), 37-43. DOI=10.5120/ijca2017913621
@article{ 10.5120/ijca2017913621,
author = { Shrutika Kale,Sharvari Govilkar },
title = { Survey of Named Entity Recognition Techniques for Various Indian Regional Languages },
journal = { International Journal of Computer Applications },
year = { 2017 },
volume = { 164 },
number = { 4 },
pages = { 37-43 },
doi = { 10.5120/ijca2017913621 },
publisher = { Foundation of Computer Science (FCS), NY, USA }
}
%0 Journal Article
%D 2017
%A Shrutika Kale
%A Sharvari Govilkar
%T Survey of Named Entity Recognition Techniques for Various Indian Regional Languages%T
%J International Journal of Computer Applications
%V 164
%N 4
%P 37-43
%R 10.5120/ijca2017913621
%I Foundation of Computer Science (FCS), NY, USA
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.