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Reseach Article

Query Optimization: A Solution for Low Recall Problem in Hindi Language Information Retrieval

by Kumar Sourabh, Vibhakar Mansotra
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 55 - Number 17
Year of Publication: 2012
Authors: Kumar Sourabh, Vibhakar Mansotra
10.5120/8845-2987

Kumar Sourabh, Vibhakar Mansotra . Query Optimization: A Solution for Low Recall Problem in Hindi Language Information Retrieval. International Journal of Computer Applications. 55, 17 ( October 2012), 6-17. DOI=10.5120/8845-2987

@article{ 10.5120/8845-2987,
author = { Kumar Sourabh, Vibhakar Mansotra },
title = { Query Optimization: A Solution for Low Recall Problem in Hindi Language Information Retrieval },
journal = { International Journal of Computer Applications },
issue_date = { October 2012 },
volume = { 55 },
number = { 17 },
month = { October },
year = { 2012 },
issn = { 0975-8887 },
pages = { 6-17 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume55/number17/8845-2987/ },
doi = { 10.5120/8845-2987 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:57:29.416602+05:30
%A Kumar Sourabh
%A Vibhakar Mansotra
%T Query Optimization: A Solution for Low Recall Problem in Hindi Language Information Retrieval
%J International Journal of Computer Applications
%@ 0975-8887
%V 55
%N 17
%P 6-17
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
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. Whatever they may have been, over the years, many of the motivations for an almost exclusive focus on English as the language of choice in IR have lost their validity. 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 (after English and Mandarin): 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 cause the existing algorithms not being able 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, lack of standards for spelling words. Taking into consideration the aforesaid issues we introduce Hindi Query Optimization technique (design and development) which solved the problem of recall up to a great extent.

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Index Terms

Computer Science
Information Sciences

Keywords

Information retrieval Hindi Monolingual Query optimization Interface Hindi WordNet