▎ 摘　　要

NOVELTY - The device (110) has a graphene separation unit (111) for separating graphene units by graphene units in morpheme analysis. A graphene learning unit (112) for learning the graphene separated from the graphene separation unit using a convolution neural network (CNN). A morphological analysis enhancement unit (113) improves the efficiency of the morpheme analysis based on the graphenes learned by the graphene learning unit. A vector averaging unit (114) calculates an average of the vectors by converting the separated elements into vectors after separating words that are not in the corpus dictionary into units. USE - Morpheme analysis device for improving quality of search in Korean language processing, including Korean language. ADVANTAGE - The device can support to improve the accuracy of the morpheme analysis by using the morpheme separation and the average value of the vectors, so as to overcome the limitations in which the morpheme analysis cannot be accurately processed for words that do not exist in the existing corpus dictionary. DETAILED DESCRIPTION - INDEPENDENT CLAIMS are included for the following: (1) a method for operating highly accurate morphological analysis device; and (2) a computer-readable recording medium storing program for operating highly accurate morphological analysis device. DESCRIPTION OF DRAWING(S) - The drawing shows a block diagram of the highly accurate morpheme analysis apparatus for improving quality of search in Korean language processing. (Drawing includes non-English language text) Morpheme analysis device (110) Graphene separation unit (111) Graphene learning unit (112) Morphological analysis enhancement unit (113) Vector averaging unit (114)