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A fuzzy Mediawiki search for "angry emoticon" has as a suggested result "andré emotions" In computer science, approximate string matching (often colloquially referred to as fuzzy string searching) is the technique of finding strings that match a pattern approximately (rather than exactly).
The bitap algorithm (also known as the shift-or, shift-and or Baeza-Yates-Gonnet algorithm) is an approximate string matching algorithm. The algorithm tells whether a given text contains a substring which is "approximately equal" to a given pattern, where approximate equality is defined in terms of Levenshtein distance – if the substring and pattern are within a given distance k of each ...
Michael Loren "Fuzzy" Mauldin (/ ˈ m ɔː l d ən /) (born March 23, 1959) is an American retired computer scientist and the inventor of the Lycos web search engine. He has written 2 books, 10 refereed papers, and several technical reports on natural-language processing , autonomous information agents, information retrieval , and expert systems .
Fuzzy retrieval techniques are based on the Extended Boolean model and the Fuzzy set theory. There are two classical fuzzy retrieval models: Mixed Min and Max (MMM) and the Paice model. Both models do not provide a way of evaluating query weights, however this is considered by the P-norms algorithm.
In computer science, locality-sensitive hashing (LSH) is a fuzzy hashing technique that hashes similar input items into the same "buckets" with high probability. [1] ( The number of buckets is much smaller than the universe of possible input items.) [1] Since similar items end up in the same buckets, this technique can be used for data clustering and nearest neighbor search.
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In this way, fuzzy matching can speed up the translation process and lead to increased productivity. This raises questions about the quality of the resulting translations. On occasions a translator is under pressure to deliver on time and is thus led to accept a fuzzy match proposal without checking its suitability and context.
Apache Lucene is a free and open-source search engine software library, originally written in Java by Doug Cutting.It is supported by the Apache Software Foundation and is released under the Apache Software License.