LANGUAGE IN INDIA

Strength for Today and Bright Hope for Tomorrow

Volume 11 : 5 May 2011
ISSN 1930-2940

Managing Editor: M. S. Thirumalai, Ph.D.
Editors: B. Mallikarjun, Ph.D.
         Sam Mohanlal, Ph.D.
         B. A. Sharada, Ph.D.
         A. R. Fatihi, Ph.D.
         Lakhan Gusain, Ph.D.
         Jennifer Marie Bayer, Ph.D.
         S. M. Ravichandran, Ph.D.
         G. Baskaran, Ph.D.
         L. Ramamoorthy, Ph.D.

HOME PAGE

BOOKS FOR YOU TO READ AND DOWNLOAD FREE!

REFERENCE MATERIAL

BACK ISSUES

  • E-mail your articles and book-length reports in Microsoft Word to languageinindiaUSA@gmail.com.
  • Contributors from South Asia may e-mail their articles to
    B. Mallikarjun,
    Central Institute of Indian Languages,
    Manasagangotri,
    Mysore 570006, India     mallikarjun@ciil.stpmy.soft.net.

  • PLEASE READ THE GUIDELINES GIVEN IN HOME PAGE IMMEDIATELY AFTER THE LIST OF CONTENTS.

  • Your articles and book-length reports should be written following the APA, MLA, LSA, or IJDL Stylesheet.

  • The Editorial Board has the right to accept, reject, or suggest modifications to the articles submitted for publication, and to make suitable stylistic adjustments. High quality, academic integrity, ethics and morals are expected from the authors and discussants.

Copyright © 2010
M. S. Thirumalai
Custom Search

Named Entity Recognition: A Survey for the Indian Languages

Padmaja Sharma, Utpal Sharma and Jugal Kalita

Abstract

Named Entity Recognition(NER) is the process of identifying and classifying all proper noun into pre-defined classes such as persons, locations, organization and others. Work on NER in Indian languages is a difficult and challenging task and also limited due to scarcity of resources, but it has started to appear recently. In this paper we present a brief overview of NER and its issues in the Indian languages. We also describe the different approaches used in NER and also the work in NER in different Indian languages like Bengali, Telugu, Hindi, Oriya and Urdu along with the methodologies used. Lastly we presented the results obtained for the different Indian languages in terms of F-measure.

I. INTRODUCTION

Natural Language Processing (NLP) is the computerized approach for analyzing text that is based on both a set of theories and a set of technologies. Named Entity Recognition (NER) is an important task in almost all NLP areas such as Machine Translation (MT), Question Answering (QA), Automatic Summarization (AS), Information Retrieval(IR), Information Extraction(IE), etc.

NER can be defined as a two stage problem - Identification of the proper noun and the classification of these proper noun into a set of classes such as person names, location names (cities, countries etc), organization names (companies, government organizations, committees, etc.), miscellaneous names (date, time, number, percentage, monetary expressions, number expressions and measurement expressions). Thus NER can be said as the process of identifying and classifying the tokens into the above predefined classes.

This is only the beginning part of the article. PLEASE CLICK HERE TO READ THE ARTICLE IN PRINTER-FRIENDLY VERSION.

Padmaja Sharma
Dept. of CSE
Tezpur University
Assam, India 784028
psharma@tezu.ernet.in

Utpal Sharma
Dept.of CSE
Tezpur University
Assam, India 784028
utpal@tezu.ernet.in

Jugal Kalita
Dept.of CS
University of Colorado at Colorado Springs
Colorado, USA 80918
kalita@eas.uccs.edu
Custom Search
  • Click Here to Go to Creative Writing Section

  • Send your articles
    as an attachment
    to your e-mail to
    languageinindiaUSA@gmail.com.
  • Please ensure that your name, academic degrees, institutional affiliation and institutional address, and your e-mail address are all given in the first page of your article. Also include a declaration that your article or work submitted for publication in LANGUAGE IN INDIA is an original work by you and that you have duly acknowledged the work or works of others you either cited or used in writing your articles, etc. Remember that by maintaining academic integrity we not only do the right thing but also help the growth, development and recognition of Indian scholarship.