His skills are in the area of distributed computing, speech application development, and computational natural language understanding. 他所擅长的领域是分布式计算和面向服务的体系结构,以及语音应用程序开发和计算自然语言理解。
Chinese semanteme is analyzed by using the relevant technologies of natural language understanding and the method of knowledge-information based on semantic network etc. 应用自然语言理解的相关技术、知识信息的语义网络表示方法等,针对中文语义进行了剖析。
So, here's a simple example of the unconscious in modern psychology: Language understanding. 现代心理学中有一个简单的无意识的例子:,就是语言理解。
It is proposed to get the fundamental theory of intelligent information processing with combining natural language understanding and computational intelligence. 提出综合自然语言理解和计算智能作为智能信息处理基础理论的思想。
On the Study of Natural Query Language Understanding in Computer 关于计算机理解自然查询语言的研究
Research of Natural Language Understanding of Psychology in the Short Text Classification 自然语言理解心理学在短文本分类中的实证研究
For users can conveniently access to ontology knowledge, Simple Protocol And RDF Query Language ( SPARQL) ontology query based on natural language understanding was put forward. 为了用户能够方便地获取本体知识,提出了基于自然语言理解的SPARQL本体查询。
The Recovery of Omissible Verbs in Natural Language Understanding and Its Application on Products Design 自然语言理解中篇章动词省略恢复研究及其在产品设计中的应用
Research on Morpheme Analysis Based on Conditional Random Fields in Chinese Natural Language Understanding 中文自然语言理解中基于条件随机场理论的词法分析研究
Also introduced and discussed is the Labelled Deductive Systems for Natural Language Understanding, which is an abductive theory of language. 在讨论过程中,我们还对用于自然语言理解的加标演绎系统这个引理语言理论作了简要的介绍和评价。
Natural language understanding systems 自然语言书面理解系统
The Appliance of Natural Language Understanding System on Lake Water Clean-up Robot; Language recognition is a significant component of multilingual human-machine interface, as the front end of a speech recognition system. 自然语言理解在湖水清污机器人中的应用语种识别是多语言人机接口的重要组成部分,主要用于系统前端。
The beginning of the day, people thought the most active, the purest state of mind, language understanding and acceptance of the strongest. 一天之始,人的思维最活跃,心境最纯净,语言的理解力和接受力最强。
The proposed Word-Class Stochastic Model ( WCSM) is the basis for syntax rule based semantic parsing and spoken language understanding which has better performance. 一是提出并实现了词类概率模型,它具有较高的性能和较低的时间复杂度,是基于句法规则的语义分析和语言理解的基础。
The Ontology technique is used in natural language understanding to improve the semantic analysis capacity. 将Ontology与自然语言理解结合,通过建立基于Ontology技术的语义分析模型来提高语义理解的成功率。
It is only a part of Chinese language understanding and its man-machine language interface. 这是中文语义理解和人机语言接口的一个组成部分。
Now research on voice recognition turns to large vocabulary speaker-independent continuous speech recognition and natural language understanding. 语音识别研究也转向了大词汇非认人连续语音识别和自然语言理解。
Finally, introduced the process that the natural language understanding theory applies in the product-design. 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。
By analyzing the features and requirements of spoken language dialogue system, we design a rule based language understanding procedure that is suitable to it. 在分析了口语对话系统的特点和要求之后,我们提出了适合于对话系统的基于规则的语言理解流程。
Semantic analysis is the basis of natural language understanding. 语义分析是自然语言理解的基础。
Semantic description and interpretation is a kernel problem in the research on Natural Language Understanding. 语义的表示与解释是自然语言理解研究中的一个核心问题,内涵逻辑和时态逻辑是目前广泛使用的形式化语义描述语言。
Ambiguity is an important and universal phenomenon. Ambiguity analysis can help improve language understanding and communication. 歧义是一种普遍而重要的语言现象,歧义分析有助于提高理解和运用语言的能力。
Concept lexicon is one of the important knowledge sources of natural language understanding systems. 本文介绍了自然语言处理系统的一个重要知识源概念词典,以及基于超文本的概念词典管理系统概念浏览器。
The procedure of learning language is also a procedure of language understanding. 语言学习的过程就是一个对语言的理解过程。
The spoken language understanding is a crucial part in spoken language translation systems and human-machine dialog systems. 口语理解在口语自动翻译和人机对话系统中具有非常重要的作用。
Using a composed method of cognitive science and artificial intelligence to do the Natural Language Understanding Researching. 2将认知心理学、认知语言学和人工智能的研究方法结合起来,从人类理解客观世界的角度从发对自然语言理解进行分析和研究。
Chinese semantic analysis is the most important and difficult problem of Chinese Natural Language Understanding. 汉语语义分析是汉语自然语言理解中的重要课题,也是汉语自然语言理解中的难题。
This is the job of natural language understanding-an important branch of artificial intelligence. 这也就是人工智能的一个重要分支&自然语言理解所要研究的内容。然而,这是一项非常艰巨的任务。
Thus, the context becomes an indispensable part of the cognitive processes in the way of the language understanding. 语言的理解是一个认知过程,因此语境也是认知过程中不可或缺的一个环节。