Abstract : this paper describes automatic text proofreading development in and outside our country , then puts forward two automatic proofreading techniques about error detection and error correction by analyzing chinese text errors : matching technique of words based on word material statistics and understanding technique based on natural language understanding 文摘:对文本自动校对国内外发展现状进行描述，针对中文文本出现错误的状况进行分析，提出了查错、纠错的两类自动校对技术：基于语料统计的词的匹配技术和基于自然语言理解的理解技术。
This paper bases on chinese word cut which impenetrate the programme bring the paper to pass . this paper exhausted the function of chinese word cut in detail besides how to classify the sub - classification of quantifiers and nouns in modern chinese , the match relationship between quantifiers and nouns and the way finding out the errors of these match relationship in a chinese text . the final segment of this paper still pointed out the draw back of my paper and submited several possible solutions 我所做的量词和名词的搭配及查错是在汉语分词的基础上实现的，分词贯穿了量词和名词的搭配及查错的全过程，所以本文先是在介绍了现代汉语名词和量词的子类划分之后，对汉语词汇分析的特点和难点、数量结构对汉语分词的影响做了详细的阐述，正是这些部分对我所设计的程序性能有很重要的影响。
According to the distribution of chinese single - character after word segmentation in chinese text and the conception of " non - multi - character word error " , we proposed a group of rules to find errors in texts , to construct the automatic error - detection model and to implement its algorithm by combining the scattered single - character bigram models , part - of - speech bigram and trigram models 根据正确文本分词后单字词的出现规律以及“非多字词错误”的概念，提出一组错误发现规则，并与针对分词后单字散串建立的字二元、三元统计模型和词性二元、三元统计模型相结合，建立了文本自动查错模型与实现算法。
Abstract : with artificial intelligent tool clips , this pape r builded a construction monitor of excavation engineering , which can mainly be u sed to solve some current problems , such as self - correction of monitor data , forma tion forecast , formation self - warning and self - learning construction measure 文摘:从目前施工面临的问题出发，利用人工智能工具clips语言建立一个简单的基于知识的基坑施工监控器，主要用于解决监测数据的自动查错、变形趋势预测、变形自动报警，以及具有自学习功能的施工应急措施。
