数据库查询系统中自然语言理解技术应用  

Application of Natural Language Understanding Technology in Database Query System

作　　者：王燕凤[1] WANG Yanfeng

机构地区：[1]西北民族大学,兰州730030

出　　处：《科技创新与应用》2023年第18期23-26,共4页Technology Innovation and Application

基　　金：甘肃省教育科学“十四五”规划2021年度重点课题(GS[2021]GHBZ148)。

摘　　要：自然语言理解技术(NLU)是当下人工智能领域的热门研究课题,在帮助计算机准确理解人类语言,以及真正实现机器的智能化发挥重要作用。该文基于自然语言理解技术设计数据库查询系统,首先介绍数据库查询系统中使用到的关键技术,例如自动分词技术、消歧处理算法、目标短语提取技术等。随后使用Jbuilder10开发工具和Java编程语言设计数据库查询系统,并对其自动分词和语句查询功能展开验证。结果表明,在输入的116条语句中,正确分词率达到92.2%,查询正确率达到80.2%,达到设计预期。Natural language understanding(NLU)technology is a hot research topic in the field of artificial intelligence,which plays an important role in helping computers understand human language accurately and realizing the intelligence of machines.This paper designs a database query system based on natural language understanding technology.Firstly,it introduces the key technologies used in the database query system,such as automatic word segmentation,disambiguation processing algorithm,target phrase extraction technology and so on.Then,the database query system is designed by using Jbuilder10 development tools and Java programming language,and its automatic word segmentation and sentence query functions are verified.The results show that among the 116 sentences entered,the correct word segmentation rate is 92.2%,and the query accuracy rate is 80.2%,which meets the expectations for the design.

关 键 词：数据库查询系统 自然语言理解技术 自动分词 查询目标 智能化 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]