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 |
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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.