The invention provides a system and method for identifying text in a word set. The method may include retrieving a target term set including a plurality of target terms; retrieving the word set including a plurality of text words; normalizing target terms in the target term set to generate normalized terms; normalizing text words in the word set to generate normalized words; comparing the normalized terms with the normalized words to determine (1) a first match between a first normalized term and a first normalized word; and (2) a second match between a second normalized term and a second normalized word. The method may further include determining a distance between a text word position of the first normalized word and a text word position of the second normalized word to determine if any relative positions satisfy threshold criteria, and identifying a first text word position and a second text word position as constituting possible identified text once a relative position of the text word position of the first normalized word and a text word position of the second normalized word satisfies the threshold criteria.

 
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> OPTICAL PROXIMITY EFFECT CORRECTING METHOD AND MASK DATA FORMING METHOD IN SEMICONDUCTOR MANUFACTURING PROCESS, WHICH CAN SUFFICIENTLY CORRECT OPTICAL PROXIMITY EFFECT, EVEN UNDER VARIOUS SITUATIONS WITH REGARD TO SIZE AND SHAPE OF DESIGN PATTERN, AND SPACE WIDTH AND POSITION RELATION BETWEEN DESIGN PATTERNS

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