GLR Parser with Conditional Action Model using Surface Phrasal Types for Korean.
Yong‐Jae Kwak, Soyoung Park, Hae‐Chang Rim · 2003
In this paper, we propose a new probabilistic GLR parsing method that can solve the problems of conventional methods. Our proposed Conditional Action Model uses Surface Phrasal Types (SPTs) encoding the functional word sequences of the sub-trees for describing structural characteristics of the partial parse. And, the proposed GLR model outperforms the previous methods by about 6~8%. 1