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Approximate Matching

/əˈprɒk.sɪ.mət ˈmætʃ.ɪŋ/noun
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Approximate matching is a computational technique used to identify strings or patterns that are similar but not exactly identical, often accounting for minor errors, variations, or typos. This method enhances flexibility in searches and data processing by prioritizing closeness over perfection, making it essential in modern applications like search engines and AI-driven recommendations where human imperfection is the norm.

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