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An Application of Statistical indexing for Searching and Ranking of documents ñ A Case Study on Telugu Script

by N.V. Ganapathi Raju, Bhavya Sukavasi, Sai Rama Krishna Chava, Vidya Rani Vadisala
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 28 - Number 3
Year of Publication: 2011
Authors: N.V. Ganapathi Raju, Bhavya Sukavasi, Sai Rama Krishna Chava, Vidya Rani Vadisala
10.5120/3368-4651

N.V. Ganapathi Raju, Bhavya Sukavasi, Sai Rama Krishna Chava, Vidya Rani Vadisala . An Application of Statistical indexing for Searching and Ranking of documents ñ A Case Study on Telugu Script. International Journal of Computer Applications. 28, 3 ( August 2011), 22-27. DOI=10.5120/3368-4651

@article{ 10.5120/3368-4651,
author = { N.V. Ganapathi Raju, Bhavya Sukavasi, Sai Rama Krishna Chava, Vidya Rani Vadisala },
title = { An Application of Statistical indexing for Searching and Ranking of documents ñ A Case Study on Telugu Script },
journal = { International Journal of Computer Applications },
issue_date = { August 2011 },
volume = { 28 },
number = { 3 },
month = { August },
year = { 2011 },
issn = { 0975-8887 },
pages = { 22-27 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume28/number3/3368-4651/ },
doi = { 10.5120/3368-4651 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:13:48.338803+05:30
%A N.V. Ganapathi Raju
%A Bhavya Sukavasi
%A Sai Rama Krishna Chava
%A Vidya Rani Vadisala
%T An Application of Statistical indexing for Searching and Ranking of documents ñ A Case Study on Telugu Script
%J International Journal of Computer Applications
%@ 0975-8887
%V 28
%N 3
%P 22-27
%D 2011
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The lack of proper indexing and ranking techniques for Telugu documents motivated us for implementation of this work. The results provide a way to analyze efficiency of algorithms used for indexing and ranking. This paper summarizes the Automatic Term Weighting and Inverted File Structure approaches for Telugu documents and provides baseline of single term indexing to develop more elaborate techniques like content based analysis.

References
  1. Gerald Salton and Christopher Buckley “Term-Weighting approaches in automatic text retrieval”.
  2. Ma, W., Zhang, H. and Hon, H. (2004). “Towards Next Generation Web Information Retrieval”.
  3. Wall, A. (2004). “History of search engines & web history”
  4. Gerald J.Kowalski, Mark T. Maybury. “Information Storage and Retrieval Systems Theory and Implementation”
  5. Williams B. Frakes and Ricardo Baeza- Yates, “ Information Retrieval: Data Structures & Algorithms”
  6. Glenda Browne, Jon Jermey. “The indexing companion.”
  7. Ricardo Baeza-Yates and Berthier Ribeiro-Neto. “Modern Information Retrieval”
Index Terms

Computer Science
Information Sciences

Keywords

Statistical indexing Ranking Inverted File Structure Stemming Telugu Documents Term weighting

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