Grammar Rule Matching 文法规则匹配
fuzzy rule matching degree 模糊规则匹配度
Rule-matching 规则匹配
fast rule-matching 快速规则匹配
rule-matching algorithm 规则匹配算法
a fast rule-matching 快速规则匹配
Type Matching Rule 类型验证规则
Namespace Matching Rule 命名空间验证规则
The essay research on the natural language understanding technolgoy in dialogue management system and propose a natural language processing method based on grammar rule matching. This method provide a structural model for the natural language processing system.
对对话管理系统中的自然语言理解技术进行了研究,提出了基于文法规则匹配的自然语言处理方法,给出了采用该方法实现的自然语言处理系统的结构模型。
参考来源 - 基于文法规则匹配的自然语言处理系统研究与实现—《电脑知识与技术》—2009年第4期—龙源期刊网·2,447,543篇论文数据,部分数据来源于NoteExpress
Chief work consists of system startup interface, database interface and rule matching algorithm 'realization.
本论文的主要工作包括:系统启动界面、数据库操作界面和规则匹配算法的实现。
Doing so is mostly for human observers, as rule-engine optimization algorithms are sufficiently powerful to optimize rule matching.
这样做主要是为了方便观察者,因为规则引擎优化算法足够强大,能够优化规则匹配。
The fuzzy set matching degree defiantion and the fuzzy rule matching degree definition were used to develop the model and the design steps.
对于模糊控制器的模型,定义了模糊集合匹配度和模糊规则匹配度,在此基础上给出了基于模式匹配的模糊控制算法的模型和设计步骤。
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