基于统计学习模型的句法分析方法综述

句法分析是自然语言处理领域中重要的基础研究问题之一。近年来,基于统计学习模型的句法分析方法研究受到了广泛关注,多种模型与算法先后被提出。从采用的学习模型和算法类型着手,该文系统地对各种主流和前沿方法进行了归纳与分类,着重对各类模型和算法的思想进行了分析和对比,并对中文句法分析的研究现状进行了综述;最后,对句法分析下一步的研究方向与趋势进行了展望。

A Survey of Syntactic Parsing Based on Statistical Learning

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.
Key wordssyntactic parsing; statistical learning model; generative model; discriminative model; shift-reduce; data oriented parsing