Morphological analysis of the Korean language has traditionally been performed in several ways, including separation of Korean characters into graphemes by using linguistic knowledge, lattice tree lookup (Park et al., 2010), application of regular and irregular inflection rules (Kang and Kim, 1992), morphosyntactic rule sets, and by using a pre-computed dictionary (Shim and Yang, 2004).
we investigate whether morphological analysis of Korean is feasible without the use of any of these techniques and without a dictionary by making the assumption that common transformations and their underlying grapheme modifications can be easily recognized and learned with a Bi-LSTM model.