本文依据待校对文本中的常见错误类型介绍了纠错知识库的构造方法以及基于该纠错知识库的自动纠错算法。该算法通过利用出错字串的特征,结合上下文启发信息,可有效地对文本中的别字、漏字、多字、易位、多字替换等错误提供纠错建议。文中还对纠错建议的排序算法进行了讨论。

According to common error types in pre-proof reading text , this paper introduce the method to structure correcting knowledge sets and a automatic correcting algorithm based on this correcting knowledge sets. The algorithm makes a full use of the characteristics of wrong strings and context heuristic information. It can provide correcting suggestions for such errors as ghost word ,missed Chinese characters ,superfluous Chinese characters ,reversed Chinese characters and substituted Chinese characters etc. The method of sorting the correcting suggestions is also discussed.