natural language analysis
英 [ˈnætʃrəl ˈlæŋɡwɪdʒ əˈnæləsɪs]
美 [ˈnætʃrəl ˈlæŋɡwɪdʒ əˈnæləsɪs]
网络 自然语言分析; 自然語言分析
双语例句
- The Relationship Modeling Engine uses natural language processing and sophisticated semantic analysis techniques to analyze and categorize text.
RelationshipModelingEngine使用自然语言处理和高级的语义分析技术对文本进行分析和分类。 - Research on Generation of Natural Sign Language Motion Sequence Based on Surface Semantic Analysis
基于表层语义分析的自然手语动作序列生成的研究 - Firstly, the present research on the natural language understanding system based knowledge and the semantic analysis of the event-noun, the knowledge representation, the semantic analysis theory, and the Chinese semantic knowledge are introduced together with the foundation of knowledge base and the theory of ontology.
首先，介绍了基于知识的自然语言理解，事件名词语义研究，知识表示方法、语义分析理论与汉语的语义知识，以及知识库基础和本体理论。 - 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。 - Pro-atn natural language analysis system
PRO-ATN自然语言分析系统 - Syntax analysis is always a basic task in the natural language processing, part analysis, also called shallow parse or chunk identification, becomes a hotspot in the natural language processing.
句法分析一直是自然语言处理的一个基础性的研究课题，近年来部分分析，也叫浅层分析、组块分析，成为自然语言处理的热点。 - Question Answer System is a subject of great topic study orientation in studying natural language processing, mainly including question analysis, information retrieval and answer collection.
自动问答系统是自然语言处理研究中的一个热门的研究方向，主要集问题分析、信息检索、答案抽取等于一体。 - Filtering of Internet document based on natural language semantic analysis
基于自然语言语义分析的Internet文件分类与过滤 - The thesis expatiates the two kinds of association venations of HNC, lucubrates the semantic chunk and sentence category, designs the arithmetic of sentence category analysis in natural language understanding, and realizes the sentence category analysis system.
本文阐述了HNC理论的两类联想脉络，深入研究了语义块和句类知识，设计了理解自然语言语句的句类分析算法，并实现了句类分析系统。 - User Agent can analyse and specify some keywords to present users 'requirements which are described by natural language by semantic analysis and syntactical analysis.
用户模块分析用户用自然语言描述的需求，通过词性和语法结构分析，提取能够代表需求的关键字，递交给挖掘模块作为搜索依据。 - As the precursor of deep data mining technology, information extraction can extract specified facts from natural language documents through shallow analysis, thus becoming a hot research topic in natural language processing.
作为深层数据挖掘技术的先驱，信息抽取技术可以通过对文本的浅层分析，快速准确地从海量信息源中提取出用户感兴趣的信息，从而成为自然语言处理领域的一个热点研究课题。 - Then, the paper researches several key technologies about natural language understanding, including morpheme analysis, syntax analysis and semantic analysis.
2，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。 - It is as an assistant software of natural language analysis, and will exert a positive influence in natural language processing.
HNC即时信息助理作为一种自然语言分析辅助软件，将在自然语言处理的研究工作中发挥积极作用。 - The key technology in information extraction include: natural language process, naming entity recognition, document analysis and induction, knowledge attainment etc. the process of information extraction include learning and application process.
信息抽取系统中的关键技术主要包括：自然语言处理、命名实体识别、篇章分析及推理和知识获取。信息抽取过程包括学习过程和应用过程。 - Syntax parsing is the primary basis of deep natural language processing such as semantic analysis and is an indispensable part for many natural language processing application systems.
句法分析是进行语义分析等深层自然语言处理的首要基础，是诸多自然语言处理应用系统不可或缺的一个重要环节。 - As a core issue of natural language processing ( NLP), high-performance syntactic analysis played an important role in NLP applications.
作为自然语言处理（NaturalLanguageProcessing，NLP）领域的一个核心问题，高性能句法分析在NLP应用领域中发挥了重要的作用。 - Research on mining this information is a hot problem in natural language processing. And sentiment analysis is an important part.
研究和挖掘这些信息是自然语言处理领域的热点问题，文本倾向性分析是其中重要的一环。 - How to exploit computers in processing natural language to analysis, synthesis and translate content of natural language materials, is very important both in theory and in practice.
如何利用计算机对自然语言进行处理，以便分析、综合、翻译其内容，有着重要的理论与实用价值。 - Topic web mining involves multiple disciplines, including machine learning, information retrieval, natural language analysis, statistics and computer network.
主题Web挖掘涉及多个学科，包括机器学习、信息检索、语言分析、统计学、计算机网络等。 - Computational linguistics is an interdisciplinary of computer science, mathematics and linguistics, which combines formal mathematical model with computer technology to carry out natural language process and analysis.
计算语言学，是一门横跨计算机科学、数学和语言学的新兴边缘学科，它使用形式化数学模型和计算机技术对自然语言进行处理与分析。 - Three innovation points of this paper list here: 1. Systematic research and analysis on semantic of vocabulary is provided through comparing natural language and spatial information and a meticulous analysis on spatial concept instance included in WordNet is experimented also. 2.
论文的创新点包括以下三个：1.论文对自然语言词汇语义与空间信息词汇语义的联系与区别进行了系统的分析与研究，并对WordNet中的空间本体概念进行了细致的分析。 - Semantic knowledge base can almost be used in any aspect of Natural Language Processing, such as syntactic analysis, machine translation, word sense disambiguation, information extraction and so on.
语义知识库几乎可以应用于自然语言处理的任何方面，例如句法分析、机器翻译、词义消歧、信息抽取等。 - The phenomenon that one word has several senses brings many difficulties to the processing of natural language by computer. In the final analysis, plenty of problems from natural language understanding are to solve the problem of ambiguous terms.
一词多义现象给计算机对自然语言的处理带来了许多困难，有不少自然语言理解领域的问题归根到底是解决词语歧义的问题。 - Context-free grammar which is aslo referred to as phrase structure grammar, is the most commonly mathematical system used to simulate the composition structure of natural language. Syntactic analysis is based on context-free grammar to identify sentences and assign sentences 'structure.
上下文无关语法又称为短语结构语法，是模拟自然语言成分结构的最常用的数学系统。此时就可以对句子进行句法剖析了，也就是根据上下文无关语法识别一个句子并给句子指派结构。 - There are two aspects of the most importance in natural language processing in Tibetan: 'lexical analysis' and 'syntactic analysis'.
在藏语自然语言处理中有两样最重要的环节&及词法分析和句法分析。 - Lastly semantic analysis of natural language understanding is applied to requirement analysis archetypal system for the design of gear mechanism. The user requirements is understood and analyzed. With other models running, the system runs well and obtains good results.
最后，将基于自然语言理解的语义分析运用于机械产品设计需求分析中，以齿轮传动机构为实例，进行需求分析，并结合系统其余模块的运行，完成理解取得良好效果。 - In the field of natural language processing, semantic analysis is an indispensable phase.
在自然语言处理过程中，语义分析是一个不可或缺的阶段。 - At the same time, the universality of the polysemant determines the fact that the disambiguation of words becomes the central issue of many application matters such as machine translation, information retrieval, natural language semantic analysis, syntax analysis, speech recognition and text-to-speech conversion.
同时，多义词分布的普遍性决定了多义词词义消歧任务势必成为多种应用问题的关注焦点之一。诸如机器翻译、信息检索、自然语言内容语义分析、语法分析、语音识别和文语转换。 - Currently, the main network security hot spot analysis system is based on natural language processing techniques of which the key analysis methods is retrieving key information from massive amounts of data based on theme-based model, LDA model and N-gram model.
当前主流的网络安全热点分析系统的研究和开发主要是基于自然语言处理技术，里面分析热点的关键方法是基于主题模型的LDA模型[4]和N-gram模型[7]从海量数据中提取重点信息。 - Understanding information needs the technology of natural language semantic analysis, and the semantic analysis of natural language can not do without the support of the corresponding semantic dictionary, so the construction of a semantic dictionary has become a basical work in the natural language processing.
内容信息的理解需要自然语言的语义分析技术，而自然语言的语义分析离不开相应的语义词典的支持，因此语义词典的建设已经成为自然语言处理的一项基础性工作。