中文文本自动校对方法研究综述

Review on Chinese Text Automatic Proofreading Technology

文本自动校对作为自然语言处理领域的热点方向,受到人们的广泛研究。针对不同错误类型的中文文本,可将其分为拼写纠错、语法纠错和语义纠错3类。首先简要介绍了中文文本校对的相关信息,然后分别对基于传统与深度学习的中文文本校对方法进行分析、总结,以指出该领域所存在的问题,并提出改进方案。通过对现阶段中文文本自动校对方法的研究与分析,为从事该领域的学者提供一定的参考与借鉴。

As a hot direction in the natural language processing field,Text automatic proofreading has been widely studied.According to the different types of Chinese text errors,it can be divided into three directions:spelling error correction,grammar error correction and semantic error correction.Firstly give a brief introduction to text proofreading;Secondly,the Chinese text proofreading models using traditional methods and deep learning methods are analyzed and summarized respectively,points out the problems existing in this field,and puts forward improvement schemes.Through the research and analysis of the current Chinese text automatic proofreading methods,in order to provide reference for scholars in this field.