Chinese Sentence Analysis Based on Linguistic Entity-Relationship Model

Abstract

We propose a new model called linguistic entity relationship model (LERM) for the Chinese syntactic parsing. In this model, we implement the analysis algorithm based on the analysis and verification of the linguistic entity relationship modes that are extracted and defined to describe the most basic syntactic and semantic structures. Compared with the corpus-based and rule-based methods, we neither manually write a large number of rules as used in traditional rule-based methods nor use the corpus to train the model. We only use the few meta-rules to describe the grammars. A Chinese syntactic parsing system based on the model is developed, and its performance of syntactic parsing outperforms the corpus-based baseline system.