摘要
针对家庭移动机器人中文指令关键信息提取,提出了一种基于句法分析的中文指令解析算法。首先利用伯努利模型的贝叶斯分类器对中文指令进行分类,并针对不同的指令,提取不同的关键词,然后利用依存句法树以及自身构建的中文句法知识库,动态解析中文指令;再根据指令的句法结构,分析中文指令关键词之间的逻辑关系,从而避免进一步的指令逻辑解算,实现精准的中文指令解析。实验结果表明,该方法对于小文本的移动机器人中文指令具有很好的解析精度。
Aiming at the key information extraction of Chinese instructions for home mobile robot, Chinese instruction parsing algorithm based on syntactic analysis is proposed. Firstly, the Bayesian classifier of Bernoulli model is used to classify Chinese instructions, and different keywords are extracted for different instructions. Second,the dependency syntax tree and its own Chinese syntax knowledge base are used to dynamically parse Chinese instructions. Then, the dependency syntax tree and its own Chinese syntax knowledge base are used to dynamically parse Chinese instructions. Finally, according to the syntactic structure of instructions, analyze the logical relationship between Chinese instruction keywords, so as to avoid further instruction logical solution and realize accurate Chinese instruction analysis. Experimental results show that this method has good parsing accuracy for small text mobile robot Chinese instructions.
作者
原新
柳潆林
刘志林
YUAN Xin;LIU Yinglin;LIU Zhilin(College of Intelligent Systems Science and Engineering,Harbin Engineering University,Harbin 150001,China)
出处
《实验技术与管理》
CAS
北大核心
2021年第11期232-236,共5页
Experimental Technology and Management
基金
黑龙江省教改项目(SJGY20180089,SJGZ20200043)
教育部高等教育司产学合作协同育人项目(201902155018)。
关键词
移动机器人
中文指令
句法分析
指令解析
moving robot
Chinese instruction
syntax analysis
instruction analysis