隐喻计算研究进展

作为自然语言处理中的普遍现象,隐喻若不得到解决,将成为制约自然语言处理和机器翻译的瓶颈问题.结合相关的隐喻理论基础,从隐喻识别和隐喻解释这两个隐喻计算的子任务出发,介绍了现有的隐喻计算模型以及隐喻语料资源,并对这些隐喻模型的优缺点和适用范围进行了比较.国家自然科学基金(61075058

Approach to Recognizing Chinese Nominal Metaphor Based on Online-Encyclopedia

针对现有隐喻计算知识库的广度和深度不足问题,提出了引入了网络百科资源作为隐喻识别的世界知识库的方法.利用信息检索技术,从概念对应的百科页面中获取概念的背景世界知识,计算两个概念的世界知识的重合程度,作为判断它们是否属于同一个概念域的依据,进行隐喻的识别.实验结果表明在使用百度百科作为世界知识库时,隐喻/常规表达的识别正确率达到81.06%,算法的有效性得到证明.Aim at the low coverage of current hand-coded knowledge base used in the metaphor recognition,a Chinese nominal metaphor recognition method based on exploiting the online encyclopedia resource is proposed.A noun is represented as a page in the encyclopedia.Capture the world knowledge from the page of encyclopedia,calculates the relatedness between the pages of the two nouns in the nominal reference by applying information retrieval methods.The relatedness determines the reference is metaphorical or not.The experimental results shows that the accuracy of metaphorical/normal references recognition can reach 81.06% by using BaiduBaike.It supports the validity,efficiency of this method.国家自然科学基金(61075058

Metaphor Comprehension Method Based on Relevance Constraints

隐喻理解已成为语言学、认知学、计算机科学等研究的重要课题,也是自然语言处理中不可避免的任务.提出一种基于相关性约束的隐喻理解方法,利用隐含的相关; 角度计算目标域和源域的相关程度.首先,基于词、词的主题及语篇的主题扩展出多层次的语义表示;然后,利用上下文信息的相关关系,构建多层次的相关性模型; ,模型通过多种角度的相关关系将跨层次的语义信息关联起来;接着,采用random; walk的方法,通过迭代计算获得隐含角度的相关关系;最后,选择与目标域具有最大相关度的属性作为隐喻理解的结果.将模型应用到隐喻理解任务中,实验结; 果表明,该方法能够有效地实现隐喻自动理解.Metaphor comprehension has become an important issue of linguistics,; cognitive science and computer science. It is also an unavoidable task; of natural language processing. This paper presents a novel metaphor; comprehension method to make full use of global information based on; relevance constraints. The method uses implied perspective to calculate; the relevance degree between the target and source domains. First,; multi-level semantic representation is obtained based on the semantic; representation of word, topic features of word and topic features of; discourse. Next, the degree of relevance relations is calculated and the; relevance model is generated. Additionally, relevance relations is used; to connect cross-level nodes from different perspectives. Then, using; random walk algorithm, the relevance relations are acquired from latent; perspectives through iterative computations. Finally, the target; attribute that has the maximum relevance degree with the target domain; is selected as the comprehension result. Experimental results show that; the presented method is effective in metaphor comprehension.国家自然科学基

基于动态分类的隐喻识别方法

隐喻计算是自然语言处理领域中的重要问题.尝试以差异性计算为基础,结合语言、心理和认知的角度对英语隐喻识别进行深入分析和探索对人类而言,隐喻识别是一个动态分类的过程,动态分类是从多个角度来度量事物之间的差异性.研究了如何模仿人类来获取概念的特征、选择分类角度、在特定分类角度下计算差异性,并进行了英语名词性隐喻识别的实验.该方法对隐喻/常规表达识别的准确率达到85.4%,实验结果表明,该方法是有效的.国家自然科学基金(61075058)~

基于动态分类的隐喻识别方法

隐喻计算是自然语言处理领域中的重要问题.本文尝试以差异性计算为基础,结合语言、心理和认知的角度对英语隐喻识别进行了深入的分析和探索.对人类而言,隐喻识别是一个动态分类的过程,动态分类是从多个角度来度量事物之间的差异性.本文研究了如何模仿人类来获取概念的特征、选择分类角度、在特定分类角度下计算差异性,并进行了英语名词性隐喻识别的实验.本文的方法对隐喻/常规表达识别的准确率达到85.4%,实验结果表明本文的方法是有效的

Research on Several Key Issues of Chinese-English Machine Translation

机器翻译系统具有巨大的社会效益和经济效益，并且随着中国经济的迅速发展和国力的不断增强，汉语正在成为一种新的强势语言而被世人瞩目，因此汉英机器翻译的研究显得越来越重要。本文主要研究汉英机器翻译中的两个关键问题：时态处理问题和汉语句群划分问题。 汉英机器翻译系统需要处理时态的问题，否则会影响翻译结果的准确度和流利度。此外，目前基于统计的机器翻译方法占据主导地位，由于时态处理还可以降低统计数据的稀疏性，统计机器翻译系统更迫切需要时态处理。 为了解决时态处理问题，本文提出了一种新的用于解决层次性问题的统计机器学习方法——马尔科夫树标注模型。该模型的思想是：选择问题的特征并将问题表达成结点充满特征的...Machine translation systems can provide great social and economic benefits. Moreover,with China's rapid economic development and growing national strength, Chinese is becoming a new kind of important language drawing the world's attention. Thus, Chinese-English machine translation research has become increasingly important. Two key issues of Chinese-English machine translation are discussed in thi...学位：理学博士院系专业：信息科学与技术学院计算机科学系_基础数学学号：2212005140320

The Research of a New File Transfer Protocol──NFTP which is Fit for Multimedia Instruction in Narrowband Network

目前在网络环境下进行多媒体教学，网络速度是一个严重的瓶颈问题。在分析瓶颈产生的基础上，作者提出了一个新的文件传输协议──ＮＦＴＰ（Ｎａｒｒｏｗｂａｎｄ　Ｆｉｌｅ　Ｔｒａｎｓｆｅｒ　Ｐｒｏｔｏｃｏｌ窄带文件传输协议），利用广播数据包方法解决多媒体教学中的速度问题，并设计了一组协议原语，用于协议的描述。At present,network speed is a serious bottleneck problem for multimedia instruction in network environment. This paper presents a new file transfer protocol──Narrowband File Transfer Protocol,Which is based upon the analysis of the reason of the bottleneck.Using the method of the broadcast data packet,we can settle the problem of the network speed.Then a kind of Protocol description primitive is used to describe the protocol

A Controlling Technique for Multimedia Application Based on Network

随着计算机性能的飞速提高和成本的不断下降，单机运行多媒体教学程序已成为现实。但是在共享式网络中进行多媒体教学，网络速度成为影响教学效果的严重瓶颈。为此，提出了一种新的利用网络广播文件传输协议（传统上网络是点对点传输）控制多媒体教学应用的技术及实现方法，以此来提高网络多媒体教学的整体性能。With the rapid development of computer performance and the continous falling of computercost，it is feasible to run multimedia program in personal computer．But network speed is a serious hot－tleneck of multimedia teaching in shared network environment.For this reason， the authors gut for－ward the new technique and method for multimedia teaching using file transfer protocol in networkbroadcast function（point to point traditionauy）so as to enhance overall performance of multimedianetwork teaching.民航总局教育研究基金!97-3-01

The Feeble Logic of the Compound Fuzzy Proposition and Its Algorithm

对模糊专家系统中的复合模糊命题的真值计算方法进行探讨 ,从实际应用中总结出复合模糊命题中的子命题之间所具有的多种逻辑关系 ,诸如合取关系、析取关系、加权平均关系和弱逻辑关系 ,其中弱逻辑关系是笔者开发模糊专家系统时根据实际情况首次提出的一种新的逻辑关系 .并总结出复合模糊命题的各种真值计算方法的适用范围 .进而提出处理弱逻辑关系的方法 ,最后将弱逻辑关系与其它逻辑关系作比较During the development of fuzzy expert system, the formula of the combination of the logic often can't satisfy the actual demand. This paper sets forth the different operator according to the diversified logic and puts forward the concept of feeble logic to satisfy the reality for the first time. Then, it introduces the algorithm of the feeble logic. Finally, it compares the feeble logic with other logic

The Design and Implementation of Classified Expert Consultation System Development Tool EFCTOOL

文章在对实际专家系统和现有的专家系统开发工具进行分析的基础上，探讨了提高专家系统开发工具的适应性的途径；实现了弱逻辑关系及其组合算法1；探讨了提高专家系统开发工具运行效率的途径。同时采用VISUAL PROLOG 4．02实现了一个分类专家咨询系统开发工具EFCTOOL，利用EFCTOOL，可根据需要生成确定或不确定的专家咨询系统。： In this paper，the Expert System development tools in existence are analyzed.It does some research in three aspects that improving the flexibility of the Expert Consultative System development tool，implementing the algorithm of the feeble logic and improving the efficiency of running the Expert System.This paper implements a classified Expert Consultative System Development Tool——EFCTOOL.The user can create a certain or an uncertain Expert Consultative System by using EFCTOOL