| 1. | First , the theories and status quo of nlu are introduced
首先，介绍了自然语言理解的理论及研究现状。 |
| 2. | So natural language understanding ( nlu ) is the necessary for intelligent cad systems
所以，智能cad系统离不开自然语言的理解的支持。 |
| 3. | Natural language understanding is a classic problem in ai , and there are many researches about nlu in the world
自然语言理解是ai领域的经典难题，目前国内外有大量的研究。 |
| 4. | 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。 |
| 5. | Nlu ( natural language understanding ) has become one of the most important fields in artificial intelligence study . basing computer , nlu mainly involves the research of understanding , processing and producing natural language
自然语言处理是人工智能的一个重要研究领域,它主要研究如何利用计算机来理解、处理和生成自然语言。 |
| 6. | Knowledge procession is one of the emphases of natural language understanding ( nlu ) . aiming at the collision between great capacity and management of knowledge , this paper puts forward the conceptual dependency tree ( cdt ) , by which to manage the knowledge of a given domain and improve its efficiency
自然语言理解的核心问题是知识的处理，本文主要针对当今知识的海量化与知识的处理之间的矛盾，提出利用概念从属树模型对特定知识域进行管理，进而提高处理效率。 |
| 7. | First , method based on knowledge should be adopted in the natural language understanding applied to product design domain according to the characteristic of nlu . and conceptual dependency theory is chosen as an important complementarity to the method based on knowledge , through analysis and compares of several existing semantic analysis method present
首先，根据设计领域自然语言理解的特点，确定应用于产品设计的自然语言理解应该采用基于知识为主的方法，并且通过对目前现有的几种语义分析方法的比较，确定选择概念从属理论作为基于知识的方法的重要补充。 |
| 8. | Semantic analysis of prepositional phrase in nlu ( natural language understanding ) is applied to product design by understanding and analysis of the user requirements in natural language style , which are conversed into the requirement of conceptual design , to support the future design
本文将自然语言理解中的介词短语和结构的语义分析应用于产品设计中，通过对以自然语言形式表达的用户需求进行理解和分析，并将分析结果转化成概念设计要求，为后续设计提供支持。 |
