Keyword spotting (or more simply, word spotting) is a problem that was historically first defined in the context of speech processing.[1][2] In speech processing, keyword spotting deals with the identification of keywords in utterances.
Keyword spotting is also defined as a separate, but related, problem in the context of document image processing.[1] In document image processing, keyword spotting is the problem of finding all instances of a query word that exist in a scanned document image, without fully recognizing it.
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was invoked but never defined (see the help page).