Paper Title
Morpheme Tagging Error Collection Method for Hangul Parser

Abstract
This study proposes the method of handling the compound noun to handle the over-decomposition problems which may occur from the morpheme analyzer and parser, and reduce the error decomposition of unregistered words as well as the method of correcting the error decomposition tag correction using the detection of non-grammar elements in order to compose the informal data proper for the big data analysis and deep learning. The method suggested here shows that it can reduce the expenses required to make the preliminary preparation of morpheme analyzer and shows the effective performance in dealing with the loanword and newly made words whose numbers continue to increase. Keywords - Morpheme Analysis, Hangul Parser, Big Data, Deep Learning, Natural Language Processing