Named Entity Recognition in Indian Languages: A Survey
Journal: International Journal of Engineering Sciences & Research Technology (IJESRT) (Vol.2, No. 4)Publication Date: 2014-04-30
Authors : Nusrat Jahan; Sudha Morwal;
Page : 925-929
Keywords : : Named Entity Recognition (NER); Support Vector Machine (SVM); Maximum Entropy Markov Model (MEMM); Decision Tree (DT); Conditional Random Field (CRF);
Abstract
Named Entity Recognition (NER) is the process of determining and identifying all proper nouns into pre defined classes such as persons, places, organi but for Indian languages it is a difficult and challenging task and also limited due to lack of resources, but it has started to appear recently. In this paper we present a brief summary of We also explain the different techniques used in NER and literary work review on different languages done by different scientists. Named Entity Recognition (NER) play big part in various Natural language process task like machine translation, text to speech synthesis, natural language understanding, Information Extraction, Information retrieval, question answering etc. Named Entity recognition comes under the domain of "information extraction", which extracts specific kinds of data from record
Other Latest Articles
- A Case Study on Implementing ITIL in Business Organization ? Conside
- Constructing the Digital Strategies of work tools towards efficient functioning on
- Consistent Query Answering in Inconsistent Databases
- A New Class of Combined Bartlett-Blackman Window Family
- Mechanical Properties of Hybrid Fibre Reinforced Concrete With Steel And
Last modified: 2014-10-02 23:26:46