Resolution Strategy of Morphological Ambiguity for Korean Parsing
Yi-Gyu Hwang, Hyeon-Yeong Lee, WOO-JEONG BAE, Yong-Seok Lee · International Journal of Computer Processing Of Languages · 2000
In an agglutinative language such as Korean, Japanese, etc., morphological analysis plays an important role in finding the morphological structure of input sentences. In these languages, a word can be divided into many morphemes and each morpheme has lexical ambiguities in many cases by means of the properties of an agglutinative language. In this paper, we propose a morphological ambiguity reduction method that can reduce a burden of the syntactic analysis by 1) adapting a syntactic unit of morpheme in the Feature Generator, 2) making features with detail classification of POS (Part-Of-Speech) tagset, 3) restricting rest morphological ambiguity by the multi-path LR parsing. For this work, we introduce a Morphological Feature Generator (FG) and this transforms morpheme sequences into one morpheme if these morphemes are regarded as syntactically or semantically one meaning.