摘要
由于自然语言的复杂性和随意性，自然语言理解在人工智能领域中遇到了一些问题，而作为数据库，自然语言界面从一定程度上简化了自然语言理解的难度．把这些查询句加以归类整理，形成相应的模式类，并提出了具体的理解算法，较好地解决了在自然语言用于数据库查询时的理解问题，达到了预想的结果．
Natural language understanding (NLU) is meeting and unprecedented challenge in the field of artificial intelligence (AI), because of complexity and freedom of natural language. When natural language is used for natural language interface of database, the difficult problems of natural language understanding will be simplified. These query sentences have been sorted into grammar patterns connected with effective understanding algorithms. The satisfactory understanding of natural language applied to Chinese database query is obtained.
出处
《石油大学学报（自然科学版）》
CSCD
1997年第2期82-85,共4页
Journal of the University of Petroleum,China(Edition of Natural Science)
基金
山东省自然科学基金
关键词
人工智能
模式识别
自然语言
数据库
Artificial intelligence
Pattern recognition
Natural language
Understanding
Database
