LANGUAGE IN INDIA

Strength for Today and Bright Hope for Tomorrow

Volume 13 : 1 January 2013
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.

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Query Optimization:
Solution for low recall problem in Hindi Language IR -
Revisited with Experimental Results and Analysis

Kumar Sourabh, Ph.D. Candidate
Prof. Vibhakar Mansotra
Rakesh Goswami, Research Scholar

Abstract

While information retrieval (IR) has been an active field of research for decades, for much of its history it has had a very strong bias towards English as the language of choice for research and evaluation purposes. The Internet is no longer monolingual, as the non-English content is growing rapidly. Hindi is the third most widely spoken language in the world. An estimated 500-600 million people speak this language. Information Retrieval in Hindi language is getting popularity and IR systems face low recall if existing systems are used as-is. Certain characteristics of Indian languages do not enable the existing algorithms to match relevant keywords in the documents for retrieval.

Some of the major characteristics that affect Indian language IR are due to language morphology, compound word formations, word spelling variations, ambiguity, word synonym, foreign language influence, and lack of standards for spelling words.

Taking into consideration the aforesaid issues we introduced Hindi Query Optimization technique in our previous work. In this paper we extend our work by presenting various experiments carried out by using query optimization technique to solve low recall problem in Hindi Language IR.

Keywords:Information retrieval, Hindi, Monolingual, Query optimization, Interface, Hindi WordNet.

1. Introduction

While information retrieval (IR) has been an active field of research for decades, for much of its history it has had a very strong bias towards English as the language of choice for research and evaluation purposes. Internet shows more inclination toward the use of plurality of languages, as the non-English content is growing rapidly. More people have begun to send and receive e-mails, searching for information, reading e-papers, blogging and launching web sites in their own languages. Hindi is the third most widely-spoken language in the world (after English and Mandarin): an estimated 500-600 million people speak this language. Two American IT companies, Microsoft and Google, have played a big role in making this possible.

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

Kumar Sourabh, Ph.D.
Department of Computer Science and IT
University of Jammu
J&K 180001 INDIA
Kumar9211.sourabh@gmail.com

Prof. Vibhakar Mansotra
Department of Computer Science and IT
University of Jammu
J&K 180001 INDIA
Vibhakar20@yahoo.co.in

Rakesh Goswami, Research Scholar
Department of Computer Science and IT
University of Jammu
J&K 180001 INDIA
rahulgoswami95@gmail.com
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