论文从特定领域自然语言的特点以及机器理解技术出发，给出一种适用于特定领域的自然语言理解技术。
This article starts from the character of natural language and machine understanding technology and gives a new natural language understanding technology very suitable to specific domain.
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。
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.
Mellish教授说：“这个系统将用一种叫做自然语言生成的技术，将复杂的数据转换成简单的统一理解的文档。
Prof Mellish said: ’The system will use a technique called Natural Language Generation, where complex data is translated into simple and understandable text.
搜索引擎的技术涉及到自然语言理解、中文分词、人工智能、机器学习等学科。
Search engine technology related to natural language understanding, Chinese word segmentation, artificial intelligence, machine learning and so on.
本体是构建语义网的关键技术，它可以将领域内的概念和术语规范化，能够帮助机器进行自然语言理解。
Ontology is a key technology for constructing Semantic Web, it can normalize concepts and terminologies within a certain domain, so as to help machines to understand natural language.
在自然语言理解方面，研究了自然语言分析的几项关键技术：句法分析和语义分析。
Then, the paper researches several key technologies about natural language understanding, including morpheme analysis, syntax analysis and semantic analysis.
自动问答系统是自然语言理解研究领域中的热门方向，它综合运用了多种自然语言处理技术。
The automatic question and answering system (QA) is a hot research field in natural language understanding, which includes many kinds of NLP technologies.
自然语言理解采用基于两字词簇的自动分词技术，该方法简洁、速度快，易于实现。
Natural language processing used Automatic Segment based on Two-letters-word-family structure, which is succinct, high speed and easy to achieve.
自动问答系统是自然语言理解研究领域中的热门方向，它综合运用了多种自然语言处理技术。
The automatic question and answering system(QA)is a hot research field in natural language understanding, which includes mang kinds of NLP technologies.
本文以自然语言理解的相关问题展开，它是语言文字信息处理的一项高层次技术，是人工智能的重要内容和组成部分。
This article discusses the Natural Language Understanding. It is a high level technical about language and character disposal, and it is an important content and part of artificial intelligence.
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。
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机械设计领域是人工智能技术应用的重点和难点之一。
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。
The application of NLU technology in mechanical manufacturing process design is one of the most important and difficulty application of A. I. technology.
应用推荐