It is also noticed from the table that 'Cascade' multi-task model achieves better performance than 'Noncascade' model, which implies that the unimpeded information from morpheme processing to POS tagging helps predict accurate POS tags.
it is inferred from the error analysis that developing a more accurate morpheme processing model is required to improve the performance of the proposed Korean morphological analyzer.