Call for Paper - May 2023 Edition
IJCA solicits original research papers for the May 2023 Edition. Last date of manuscript submission is April 20, 2023. Read More

Analysis and Comparative Study on Phonetic Matching Techniques

Print
PDF
 
Download Full Text
International Journal of Computer Applications
© 2014 by IJCA Journal
Volume 87 - Number 9
Year of Publication: 2014
Authors:
Rima Shah
Dheeraj Kumar Singh
10.5120/15236-3771

Rima Shah and Dheeraj Kumar Singh. Article: Analysis and Comparative Study on Phonetic Matching Techniques. International Journal of Computer Applications 87(9):14-17, February 2014. Full text available. BibTeX

@article{key:article,
	author = {Rima Shah and Dheeraj Kumar Singh},
	title = {Article: Analysis and Comparative Study on Phonetic Matching Techniques},
	journal = {International Journal of Computer Applications},
	year = {2014},
	volume = {87},
	number = {9},
	pages = {14-17},
	month = {February},
	note = {Full text available}
}

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

  • Hettiarachchi, G. P. , Attygalle, D. , "SPARCL: An improved approach for matching Sinhalese words and names in record clustering and linkage", IEEE, Colombo, 2012.
  • Beider, A, Stephen P. Morse, Phonetic Matching: A Better Soundex, March, 2010.
  • Chakkrit Snae, A Comparison and Analysis of Name Matching Algorithms, World Academy of Engineering and Technology 1, 2007.
  • Name and Address Matching Strategy, White Paper, 2007 December.
  • Brett Kessler, Phonetic Comparison Algorithms, Transaction of Philological Society Volume 103:2 243- 260, 2005.
  • 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
  • Hall, P. A. V. , and Dowling, G. R. (1980), Approximate String Comparison, Computing Surveys, 12, 381-402.
  • P. A. V. Hall, G. R. Dowling, Approximate string matching. Computing Surveys, 12(4):381{402, 1980.
  • Peter Christian, SoundEx - can it be improved? March, 1998.
  • Justin Zobel, Philip Dart, Phonetic String Matching: Lessons from Information Retrieval.
  • Beider, A, Stephen P. Morse, PhoneticMatching: An Alternative to SoundEx with Fewer False Hits.
  • A. J. Lalit, B Randell, An assessment of name matching algorithms, Department of Computing Science University of Newcastle uponTyne.