International Journal of Computer Applications |
Foundation of Computer Science (FCS), NY, USA |
Volume 164 - Number 4 |
Year of Publication: 2017 |
Authors: Shrutika Kale, Sharvari Govilkar |
10.5120/ijca2017913621 |
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
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.