针对中文文本在语法错误和语义错误校对方面存在的问题,基于HNC理论构建了一个中文文本校对系统模型,该模型利用传统查错系统和HNC句类分析系统相结合的方法,并对日常报刊杂志100篇文章进行了实验,与word2003查错系统相比,在解决语法层次和语义层次上的错误,该方法有明显优势.
To improve the efficiency of syntactic errors checking and semantic errors checking in Chinese text proofreading, this paper gives a Chinese text proofreading system model based on HNC. This model is a combination of traditional errors checking method and sentence category analysis system based on I-INC. The experiment on one hundred articles from daily newspapers and magazines shows that this model has obvious advantages in syntactic errors checking and semantic errors checking when comparing with word2003 errors checking system.