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Chinese Sentence Analysis Based on Linguistic Entity-Relationship Model

  • Dechun Yin
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7934)

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.

Keywords

linguistic entity-relationship Chinese analysis syntactic analysis 

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References

  1. 1.
    Nivre, J.: Algorithms for Deterministic Incremental Dependency Parsing. Computational Linguistics 34(4), 513–553 (2008)MathSciNetCrossRefGoogle Scholar
  2. 2.
    Hall, J.: MaltParser-An Architecture for Labeled Inductive Dependency Parsing. Licentitate thesis, Vaxjo University, pp. 52–53 (2006)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Dechun Yin
    • 1
  1. 1.School of Computer Science and TechnologyBeijing Institute of TechnologyBeijingChina

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