Developing a Korean Resource Grammar and Implementing It into the Linguistic Knowledge Building System
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Abstract
This paper reports our on-going project aiming to develop a Korean resource grammar that can provide us with the possibility of deep processing for Korean. Though there exist several reliable morphological analysers developed for Korean, not many attempts have been made to build its syntactic or semantic parser(s), partly because of its structural complexity and partly because of few reliable grammar platforms. This paper presents some results of developing a computationally feasible resource grammar for Korean, named Korean Phrase Structure Grammar (KPSG), whose basic framework is couched upon a typed feature structure grammar, HPSG (Head-driven Phrase Structure Grammar). The paper also discusses results of implementing the grammar into the LKB (Linguistic Knowledge Building) grammar platform.
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