The existing Korean morphological analyzers generate all the possible candidates only to accept the correct candidates, creating significant amount of implausible candidates. Hence the string processing time and the dictionary access frequency in anal...
The existing Korean morphological analyzers generate all the possible candidates only to accept the correct candidates, creating significant amount of implausible candidates. Hence the string processing time and the dictionary access frequency in analyzing a word are aggravated. To lower the above inefficiency, this paper proposes the efficient Korean morphological analyzer using exclusive information, which represents the exclusive relation between specific phoneme, specific syllable, specific string and each part of speech. We discuss how it can reduce the implausible candidates in analyzing a word. The result of the experiment showed that Korean morphological analyzer using exclusive information decreased the dictionary access frequency about 40.16% in comparison with others by reducing the implausible candidates.