A Simplistic Review of the Soundex Algorithm: The Magic of Phonetics

Year : 2024 | Volume : 02 | Issue : 01 | Page : 1 8
    By

    Vishal Paul Jeosuva,

  • Rajesh Ramnaresh Yadav,

  1. Student, Department of Computer Science, SIES College of Arts, Science & Commerce (Empowered Autonomous), Mumbai, Maharashtra, India
  2. Assistant Professor, Department of Computer Science, SIES College of Arts, Science & Commerce (Empowered Autonomous), Mumbai, Maharashtra, India

Abstract

As a human, we always make mistakes while pronouncing words, names, and terms that sound alike. As a result of which those spellings are difficult to identify. To simplify this problem, we have discussed an algorithm called Soundex algorithm which provides a solution to pronunciation problems by giving a similar code with 1-letter and 3-digit code as a syntactical solution to all terms that sound alike. In this study, we have discussed the following sections to give a brief overview: introduction, history, literature review of algorithmic rules, Python-based implementation, real-life applications, key benefits, limitations, and conclusion.

Keywords: Soundex, pronunciation, similar spellings, Robert Russell

[This article belongs to International Journal of Algorithms Design and Analysis Review ]

How to cite this article:
Vishal Paul Jeosuva, Rajesh Ramnaresh Yadav. A Simplistic Review of the Soundex Algorithm: The Magic of Phonetics. International Journal of Algorithms Design and Analysis Review. 2024; 02(01):1-8.
How to cite this URL:
Vishal Paul Jeosuva, Rajesh Ramnaresh Yadav. A Simplistic Review of the Soundex Algorithm: The Magic of Phonetics. International Journal of Algorithms Design and Analysis Review. 2024; 02(01):1-8. Available from: https://journals.stmjournals.com/ijadar/article=2024/view=148388


References

  1. Holmes D, McCabe MC. Improving precision and recall for Soundex retrieval. In: International Conference on Information Technology: Coding and Computing; 2002 Apr 8; IEEE Publications; 22-26. DOI: 10.1109/ITCC.2002.1000354.
  2. Manning CD, Raghavan P, Schütze H. Introduction to Information Retrieval. New York: Cambridge University Press; 2008.
  3. Zobel J, Dart P. Phonetic string matching: lessons from information retrieval. In: Proceedings of the 19th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval; 1996 Aug 18; pp. 166-172. DOI: 10.1145/243199.243258.
  4. Knuth DE. The Art of Computer Programming. Boston, Mass: Addison-Wesley; 2009.
  5. Wikipedia Contributors (2024). Soundex. [online] Wikipedia. Available from: https://en.org/wiki/Soundex
  6. United States Patent and Trademark Office. (2024). Patent Public Search Basic (PPUBS Basic). [online] USPTO Available from: https://ppubs.uspto.gov/pubwebapp/static/pages/ppubsbasic.html.
  7. GenealogyInTime Magazine. (2018). Soundex Coding Rules [Online]. Available from http://www.genealogyintime.com/GenealogyResources/Articles/what_is_soundex_and_how_does_soundex_work_page2.html
  8. Wikipedia (2024). Phonetic algorithm. [online] Wikipedia. Available from: https://en.wikipedia.org/wiki/Phonetic_algorithm
  9. Schreiber A.B. (2022). How to Use the Soundex Coding System for Ancestry Census Research. [online] Begin My Story. Available from: https://beginmystory.com/soundex-coding-system-ancestry-census-research/
  10. Shah R, Kumar Singh DK. Analysis and comparative study on phonetic matching techniques. Int J Comput Appl. 2014;87:14-17. DOI: 10.5120/15236-3771.
  11. Vykhovanets VS, Du J, Sakulin SA. An overview of phonetic encoding algorithms. Autom Remote Control. 2020;81:1896- DOI: 10.1134/S0005117920100082.

Regular Issue Subscription Review Article
Volume 02
Issue 01
Received 25/02/2024
Accepted 01/03/2024
Published 30/05/2024


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