比如理解自然语言就是个例子。
要求所实现的检索系统具有分析和理解自然语言的能力。
It demands the retrieval system developed has the ability of analysis and understand about the natural language.
通过语义分析可以理解自然语言语句，并进行深入的知识获取和推理，使计算机能够与人类无障碍的沟通。
By semantic parsing, the natural language sentence can be understood and knowledge acquirement and inference become possible. Consequently computer and human being can communicate freely.
我们都能理解自然语言，但目前为止还没有人能解释我们到底是怎么做到的，至少没有人把这个过程归纳出算法的形式。
We all do it, but so far no one has been able to explain how we do it, at least not in the form of an algorithm.
语音识别功能使他们能够理解人所说的话，而自然语言处理功能用于做出回应。
Speech recognition enables them to understand what a person is saying, and natural language processing is used to work out a response.
最大的问题是搞清楚问题究竟问的是什么——将自然语言的问题转换成华生能够理解的格式并找出问题的答案。
One of the biggest issues is determining what the question is really asking, translating a "natural language" query into something Watson can understand and find the appropriate answer.
最大的问题是搞清楚问题究竟问的是什么——将自然语言的问题转换成华生能够理解的格式并找出问题的答案。
One of the biggest issues is determining what the question is really asking, translating a “natural language” query into something Watson can understand and find the appropriate answer.
沃森表示了计算机能力的重大突破，理解人类用于捕捉和传播知识的自然语言。
Watson represents a major breakthrough in the ability of computers to understand natural language, which humans use to capture and communicate knowledge.
例如，我们仍然很难让计算机系统地理解网上的大量自然语言文本。
And for example we're still very far away from having computers systematically understand large volumes of natural language text on the web.
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.
那AI的自然语言理解来举个例子。比如这句，“我想出车。”
Take AI's natural language understanding of a phrase such as "I want to drop off my car."
这是实现新一代的自然语言理解系统的基础。
This is the foundation of implementing new generation natural language understanding systems.
最后，介绍了一下自然语言理解理论应用于产品设计的过程。
Finally, introduced the process that the natural language understanding theory applies in the product-design.
美国DARPA战略计算计划提出了口语系统研究，即把语音识别和自然语言理解结合起来，并进一步实用化。
The Program of American DARPA Calculation Strategy put forward the research of Spoken English System to integrate phonetic identification and nature language comprehension and put in further practice.
文中提出一种基于自然语言理解的语义模板算法解决网上文件分类过滤的问题。
This paper proposes the Semantic Template Algorithm based on natural language understanding, implements the filtration and classification of Internet documents.
对自然语言文本的理解，应该把它与一定的情境联系起来。
To understand a Text, we must relate the text with a specified situation.
根据自然语言理解和网络故障诊断专家系统的特性，提出了一种扩展产生式规则的知识表示方法。
According to the characteristics of natural language understanding and expert system of network fault diagnosis, the extended production rule was presented.
提出一种方法，用以实现自然语言理解系统的自动词汇扩展，以模拟人的词汇学习能力。
This paper presents an approach to the automatic enrichment of lexicon in a natural language understanding system to simulate man's word learning ability.
由此，自然语言理解过程就是嵌套本体知识的神经元通过相互通讯和协商，达成一定的协议，并产生相应动作的过程。
Thereby, the Natural Language Understanding is the process that the corresponding neurons binding correlative Concept Ontology knowledge manage to agreement via mutual operation and negotiation.
根据数学领域自然语言理解的特点，结合集合论的思想深入分析了集体词结构。
According to the characteristic of natural language understanding in mathematics domain and the idea of set theory, made a thorough analysis on collective structures.
该领域的研究人员通过对隐马尔可夫模型这一数学模型的跨领域应用，解决了自然语言理解中的瓶颈问题。
Researchers apply such mathematic model as Hidden Markov model to this field and solve the key problem in the field of comprehension of natural language.
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.
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.
语义预设和语义蕴涵是两个密切相关的概念，对二者进行鉴别，有助于准确地理解和使用自然语言。
Semantic Presupposition and Semantic Entailment are two closely related concepts. To discriminate them will be helpful to understand and use the natural language.
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。
For the understanding of the juxtaposition clauses, we discuss and solve them faced to chapter effectively, realize the NLU of the juxtaposition clauses.
自然语言理解是人工智能最活跃的研究领域之一，同时也是目前前沿的课题之一。
Comprehension of natural language is one of the most active fields in the research of artificial intelligence, it is also one of the difficult problem on present forward position.
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.
基于表层语义理解的工作，我们继续进行深层语义计算的研究，真正意义上的实现语义神经网络的自然语言理解。
On the basis of this work, we continue to carry on the research of Deep-seated Semantic Computing and really realize the understanding of the nature language with the Semantic Neural Network.
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.
实现了基于名词间联合结构、件类名词、词同位关系等名词短语和数量词结构的自然语言理解。
Accomplished the understanding of noun phrase based on the coordinate relation, event noun, appositive relation and quantifier structure relation.
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