We apologize for a recent technical issue with our email system, which temporarily affected account activations. Accounts have now been activated. Authors may proceed with paper submissions. PhDFocusTM
CFP last date
20 December 2024
Reseach Article

Analysis and Comparative Study on Phonetic Matching Techniques

by Rima Shah, Dheeraj Kumar Singh
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 87 - Number 9
Year of Publication: 2014
Authors: Rima Shah, Dheeraj Kumar Singh
10.5120/15236-3771

Rima Shah, Dheeraj Kumar Singh . Analysis and Comparative Study on Phonetic Matching Techniques. International Journal of Computer Applications. 87, 9 ( February 2014), 14-17. DOI=10.5120/15236-3771

@article{ 10.5120/15236-3771,
author = { Rima Shah, Dheeraj Kumar Singh },
title = { Analysis and Comparative Study on Phonetic Matching Techniques },
journal = { International Journal of Computer Applications },
issue_date = { February 2014 },
volume = { 87 },
number = { 9 },
month = { February },
year = { 2014 },
issn = { 0975-8887 },
pages = { 14-17 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume87/number9/15236-3771/ },
doi = { 10.5120/15236-3771 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:05:29.351197+05:30
%A Rima Shah
%A Dheeraj Kumar Singh
%T Analysis and Comparative Study on Phonetic Matching Techniques
%J International Journal of Computer Applications
%@ 0975-8887
%V 87
%N 9
%P 14-17
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Searching for names in large databases containing spelling variations has always been a problem. The first solution to the problem was proposed by Robert Russell in 1912 as he proposed SoundEx algorithm. SoundEx algorithm matches the names based on the sound of the words. The technique which is based on the pronunciation of the word is known as phonetic matching. SoundEx algorithm is one of the phonetic matching algorithms. We have discussed the other phonetic matching algorithm like edit distance algorithm, K-String and Q gram algorithm, Guth algorithm, Daitch Mokotoff algorithm and Metaphone coding algorithm. Our main focus is on the SoundEx algorithm and this paper also describes the issues with SoundEx algorithm.

References
  1. Hettiarachchi, G. P. , Attygalle, D. , "SPARCL: An improved approach for matching Sinhalese words and names in record clustering and linkage", IEEE, Colombo, 2012.
  2. Beider, A, Stephen P. Morse, Phonetic Matching: A Better Soundex, March, 2010.
  3. Chakkrit Snae, A Comparison and Analysis of Name Matching Algorithms, World Academy of Engineering and Technology 1, 2007.
  4. Name and Address Matching Strategy, White Paper, 2007 December.
  5. Brett Kessler, Phonetic Comparison Algorithms, Transaction of Philological Society Volume 103:2 243- 260, 2005.
  6. Frankie Patman LeonardShaefer, Is Soundex Good Enough for You? On the Hidden Risks of SoundEx-Based Name Searching, Language Analysis Systems, Inc. 2214 Rock Hill Road, Suite 201 Herndon, VA 20170, 2001-2003
  7. Hall, P. A. V. , and Dowling, G. R. (1980), Approximate String Comparison, Computing Surveys, 12, 381-402.
  8. P. A. V. Hall, G. R. Dowling, Approximate string matching. Computing Surveys, 12(4):381{402, 1980.
  9. Peter Christian, SoundEx - can it be improved? March, 1998.
  10. Justin Zobel, Philip Dart, Phonetic String Matching: Lessons from Information Retrieval.
  11. Beider, A, Stephen P. Morse, PhoneticMatching: An Alternative to SoundEx with Fewer False Hits.
  12. A. J. Lalit, B Randell, An assessment of name matching algorithms, Department of Computing Science University of Newcastle uponTyne.
Index Terms

Computer Science
Information Sciences

Keywords

Phonetic matching SoundEx algorithm Name variations