Understanding "is an important problem of the AI NLU (Artificial Intelligence Nature Language Understanding)."
“理解”是AI·NLU(人工智能·自然语言理解)中的重要问题。
The concept distinction of NLU is kind of discourse analysis to some extend. So far, discourse analysis is just in the primary stage.
概念区分属于篇章处理，目前自然语言处理的篇章理解还只是处于初级的探索阶段。
By the analysis of military text and the need of NLU, designs the data structure of common word dictionary, verb dictionary and example base.
通过对军事文本的分析，结合自然语言理解的需要，分别设计了常用词字典、动词字典和实例库的数据结构。
The application of NLU technology in intelligent equipment design is one of the most important and difficulty application of A. I. technology.
自然语言篇章理解技术应用于智能仪器设计领域是人工智能技术应用的重点和难点之一。
For the understanding of the juxtaposition clauses, we discuss and solve them faced to chapter effectively, realize the NLU of the juxtaposition clauses.
对于并列复句的理解结合篇章分析进行了有效的分析和处理，实现了对并列复句的自然语言理解。
The application of NLU technology in mechanical manufacturing process design is one of the most important and difficulty application of A. I. technology.
自然语言篇章理解技术应用于机械设计领域是人工智能技术应用的重点和难点之一。
Emphases is then laid to present the novel theory of HNC which is oriented to every phase of NLU, with regard to its main contents and progresses. A notional sketch of HNC is attempted.
重点介绍了面向整个自然语言理解处理的新理论—概念层次网络(hnc)理论的主要内容及其进展，试图在理论层面上给出HNC理论的基本概貌。
Using NLU technology in the database query system and designing NLQID (natural language query interface of database) has become one of the most hopeful applied fields in the research on NLU.
在数据库查询系统中应用自然语言理解技术，设计数据库自然语言查询接口，已成为自然语言研究中最具有广泛应用前景的方向之一。
Research on speech recognition error detection and correction by natural language understanding (NLU) method will be an important research direction of improving the performance of speech recognition.
用自然语言理解方法研究语音识别后文本的检错纠错，将是提高语音识别性能的一个重要研究方向。
Research on speech recognition error detection and correction by natural language understanding (NLU) method will be an important research direction of improving the performance of speech recognition.
用自然语言理解方法研究语音识别后文本的检错纠错，将是提高语音识别性能的一个重要研究方向。
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