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// Metaphone - Phonetic algorithm for indexing words by their pronunciation

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[PHONETIC]

Sound-Based

Encodes words based on pronunciation, not spelling.

[FUZZY]

Fuzzy Matching

Find words that sound similar but spelled differently.

[ENGLISH]

English Optimized

Designed specifically for English pronunciation rules.

>> technical info

How Metaphone Works

Metaphone is a phonetic algorithm that encodes words based on their English pronunciation. It applies a series of transformation rules to convert letters and letter combinations into phonetic codes. Similar sounding words produce the same code, making it useful for fuzzy matching, spell checking, and name matching in databases.

Why Use Metaphone

  • Name matching in databases despite spelling variations
  • Spell checking and correction suggestions
  • Fuzzy search in applications
  • Genealogy research for surname variants
  • Voice recognition and speech processing

Metaphone Examples

Common transformations:
PH � F (phone � FON)
CH � X (church � XRCH)
C+E/I/Y � S (center � SNTR)
G+E/I/Y � J (george � JRJ)

Similar sounding words:
Smith � SM0
Smythe � SM0
Schmidt � XMT

Knight � NT
Night � NT

Cough � KF
Coffee � KF

>> frequently asked questions

What is Metaphone?

Metaphone is a phonetic algorithm published by Lawrence Philips in 1990. It improves on Soundex by using more complex rules that better match English pronunciation patterns.

How does Metaphone differ from Soundex?

Metaphone uses more sophisticated rules and considers letter positions and combinations. It's more accurate for English words than Soundex, which was designed for surnames and uses simpler numeric codes.

What are Metaphone codes used for?

Metaphone codes are commonly used in spell checkers, search engines, database deduplication, genealogy research, and any application that needs to match words that sound similar but may be spelled differently.

Is Metaphone language-specific?

Yes, Metaphone is specifically designed for English pronunciation. For other languages, different phonetic algorithms like Cologne phonetic (German) or Caverphone (New Zealand English) may be more appropriate.

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