LANGUAGE IN INDIA

Strength for Today and Bright Hope for Tomorrow

Volume 12 : 8 August 2012
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.
Assistant Managing Editor: Swarna Thirumalai, M.A.


HOME PAGE

Click Here for Back Issues of Language in India - From 2001



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.
  • 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 © 2012
M. S. Thirumalai


Custom Search

Application of NLP in Indian Languages in Information Retrieval

B. A. Sharada, Ph.D.


1. Introduction

Information is the need in today’s world and is available in abundance in a variety of modes and forms. In order to retrieve the same, research in the interdisciplinary topics have found out many schemes. One such scheme is the application of Natural Language Processing (NLP) that aids to bring humans and the digital world closer. NLP and information retrieval are very different areas of research, and recent major conferences only have a small number of papers investigating the use of NLP techniques for information retrieval (Thorsten Brants). The very fact about NLP is that it facilitates user to search in the original language. In other words we train the computer to learn and retrieve in the natural language using Artificial Intelligence (AI). Now, major of the Indian Languages are on the NLP platform, wherein new technologies are being developed. The present study tries to analyse the research contributions in this field.

1.1 Scope of the Study

The study is limited to Indian Languages and for the years from 2000 to 2010. Such studies globally are more but the same in Indian languages are on the developing side. This is because of the inbuilt complexities of the properties of Indian languages. India, is rich with 22 Scheduled and 100 Non-scheduled Languages spoken by more than 10,000 persons each according to the latest Census 2001.


PLEASE CLICK HERE TO READ THE DATA FILE.

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


B. A. Sharada, Ph.D.
Retired Librarian
Central Institute of Indian Languages
Ministry of Human Resource Development
Manasagangothri
Mysore 570 006
Karnataka
India
sharadamallik@gmail.com

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 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/South Asian scholarship.