A Survey of Syntactic Parsing Based on Statistical Learning
QU Wei-Guang · Zhongwen xinxi xuebao · 2013
Syntactic parsing is one of the fundamental issues in natural language processing.In recent years,much effort has been devoted to syntactic parsing,resulting in a variety of approaches based on statistical learning.This paper systemically summarizes and classifies various approaches to syntactic parsing from the view of the statistical learning models and algorithms,focusing on the analysis and comparison of the different types of models and algorithms.The current researches on the Chinese syntactic parsing are also presented in this paper.Finally we give the future directions and trends in syntactic parsing research,especially for Chinese syntactic parsing.