A Speci c Least General Generalization of Strings and Its Application to Example Based Machine Translation
نویسنده
چکیده
Since the least general generalization LGG of strings may cause an over generalization in the generalization process of clauses we propose a speci c least general generalization SLGG of strings to reduce over generalization To create a SLGG of two strings rst a minimal match sequence between these strings is found A minimal match sequence of two strings consists of similarities and di erences to represent similar parts and di ering parts between those strings The di erences in the minimal match sequence are replaced to create a SLGG of those strings We also introduce a learning heuristic based on SLGGs of strings to be used in example based machine translation
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تاریخ انتشار 2008