Morphological analysis is the first work in a natural language processing. Classification of part-of-speech in morphological analysis is surely necessary. There are many researches about it. But, because standard of the classification of part-of-speec...
Morphological analysis is the first work in a natural language processing. Classification of part-of-speech in morphological analysis is surely necessary. There are many researches about it. But, because standard of the classification of part-of-speech is various, it doesn't have consistency. So, syntactic structure of the Korean language is expressed complicatedly, and it declines the efficiency about a machine translation.
This study extracts a morphological feature to appear in a part-of-speech tagging with unique standard. it suggests an algorithm of automatic part-of-speech tagging. This algorithm can extract a syntactic structure of the Korean language and minimize the difference of syntactic structure with object language to machine translation. The syntactic structure extracted can form a sentence pattern of object language to machine translation.