Syllable-based probabilistic morphological analysis model of Korean
Do-Gil Lee, Hae‐Chang Rim · 2004
In this paper, we present a syllable-based probabilistic morphological analysis model of Korean. While the pre-viousmorphological analyzers that regardmorpheme as a processing unit, the model exploits syllable as a process-ing unit in order to endure the unknown word problem. Actually, it does not use any morpheme dictionary. In contract to the previous systems that depend on manually constructed linguistic knowledge, the proposed system can fully automatically acquire the linguistic knowledge from annotated corpora. Besides, without any modifica-tion, the system can be applied to other corpus having a different tagset and annotation guidelines. We describe the model and present experimental results on two cor-pora. 1.