Fuzzy matching methods focusing on pronunciation rather than exact spelling (e.g., Metaphone, Soundex).
Phonetic matching is a type of fuzzy matching that captures phonetic similarities across different spellings and languages. Instead of focusing on edit distance or exact spelling, it matches strings based on their pronunciation.
This approach is especially useful for multilingual datasets and scenarios involving diverse spelling variations, as it can handle homophones well. Algorithms like Metaphone are classified as phonetic matching techniques. A drawback is that it may have low precision with many false positives and cannot handle context or semantic differences.
Sources & References
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