一个汉英机器翻译系统中的语义处理模型

简略阐述了三种语义分析理论 -配价语法 ,格语法 ,论旨理论后 ,重点介绍了机器翻译系统所采用的语义模型     

单位词用法探析

以单位词为中心词的名词词组的深层结构决定单位词的语法特征和语义特征。该深层结构多半可以通过单位词的转换功能映现为主动句或被动句的表层结构。在表层结构中,主语名词除去语法形位后的最后一个音节和谓语动词的第一个音段的组合在语音上是可接纳的。     

从职业流动看失业阻滞与再就业机制

从职业流动视角来看 ,失业具有无流动性、下向流动性和被迫性 ;失业阻滞在于职业流动的规模不大 ,制度约束性太强和观念滞后 ;再就业具有上向流动性和主动性 ;再就业机制是一个由经济驱动机制、制度改革机制、就业观念转变机制和劳动力自由流动机制构成的综合性、动态性结构体系。     

从认知角度诠释英语名词短语的前、后置修饰语

本文从认知语言学的次范畴化理论出发，探讨了英语名词短语中前置修饰语和后置修饰语的认知功能和特点。名词短语中修饰语的功能是对名词所指事物进行次范畴化即从不同的角度对名词所指事物进行更细致的划分。前置修饰语的次范畴化功能具有以稳定、持久属性为参照的认知特点，而后置修饰语一般都是对某个特别语境下中心词暂时性的次范畴化。     

英语名词性成分的预设功能及其在组织课堂教学语言中的作用

本文首先介绍了预设理论的发展以及预设的各种手段 ,在此基础上 ,分析了名词性成分作为预设手段 ,在语篇中的作用———经济性与衔接性 ,并用例证说明了在这两种作用的影响下 ,名词性成分对课堂语言起着重要的作用 ,为此教师应了解并恰当运用预设知识进行教学     

论知识基本属性间的辩证关系

文章论述了知识的真理性的相对性与条件性及知识的确定性、随机性与模糊性的相互联系,指出知识发展的最高成就是科学(自然科学与社会科学)与技术,人们应运用辩证唯物主义和历史唯物主义的观点和方法分析知识基本属性的辩证关系,到实践中去探索、研究和运用知识,为人类文明与进步提供智力支持。     

语言多属性决策的目标规划模型

研究了只有部分属性权重信息、属性值以语言变量或不确定语言变量形式给出且决策者对方案有偏好信息的语言多属性决策问题.给出了语言变量和不确定语言变量的运算法则,以及不确定语言变量之间比较的可能度公式,定义了语言变量的偏离度概念.在属性值以1)语言变量和2)不确定语言变量,这两种形式给出的情形下,分别建立了一个基于偏离度的目标规划模型,并通过求解这两种模型分别获得相应的属性权重.然后对于情形1),利用语言加权平均(LWA)算子,对语言决策信息进行加权集成,继而对方案进行排序和择优;对于情形2),利用不确定语言加权平均(ULWA)算子,对不确定语言决策信息进行加权集成,并利用可能度公式构造可能度矩阵(互补判断矩阵),继而利用互补判断矩阵排序公式对决策方案进行排序和择优.最后进行了实例分析.     

A new stratified three-stage unrelated randomized response model for estimating a rare sensitive attribute based on the Poisson distribution

This article suggests an efficient method of estimating a rare sensitive attribute which is assumed following Poisson distribution by using three-stage unrelated randomized response model instead of the Land et al. model (2011 Land, M., S. Singh, and S. A. Sedory. 2011. Estimation of a rare sensitive attribute using poisson distribution. Statistics 46 (3):351–60. doi:10.1080/02331888.2010.524300.[Taylor &; Francis Online], [Web of Science ®] , [Google Scholar]) when the population consists of some different sized clusters and clusters selected by probability proportional to size(:pps) sampling. A rare sensitive parameter is estimated by using pps sampling and equal probability two-stage sampling when the parameter of a rare unrelated attribute is assumed to be known and unknown.

We extend this method to the case of stratified population by applying stratified pps sampling and stratified equal probability two-stage sampling. An empirical study is carried out to show the efficiency of the two proposed methods when the parameter of a rare unrelated attribute is assumed to be known and unknown.     

从学理到实践:爱国主义定义的结构性解析

如何界定爱国主义这一定义一直是学术界讨论的问题。《〈中共中央宣传部教育部关于进一步加强和改进高等学校思想政治理论课的意见〉实施方案》实施后,《思想道德修养与法律基础》教材不再运用列宁关于爱国主义的定义,而用了一个新的定义。科学地理解爱国主义不仅是爱国主义本质的内在要求,而且是理性爱国主义教育的前提。从“非人民群众”的爱国情感、“祖国”与“国家”的关系、爱国主义“理性”与“非理性”的关系三个角度进行探讨,认为社会主义国家应倡导理性爱国主义。     

An Integrated Risk Assessment Model of Township‐Scaled Land Subsidence Based on an Evidential Reasoning Algorithm and Fuzzy Set Theory

Land subsidence risk assessment (LSRA) is a multi‐attribute decision analysis (MADA) problem and is often characterized by both quantitative and qualitative attributes with various types of uncertainty. Therefore, the problem needs to be modeled and analyzed using methods that can handle uncertainty. In this article, we propose an integrated assessment model based on the evidential reasoning (ER) algorithm and fuzzy set theory. The assessment model is structured as a hierarchical framework that regards land subsidence risk as a composite of two key factors: hazard and vulnerability. These factors can be described by a set of basic indicators defined by assessment grades with attributes for transforming both numerical data and subjective judgments into a belief structure. The factor‐level attributes of hazard and vulnerability are combined using the ER algorithm, which is based on the information from a belief structure calculated by the Dempster‐Shafer (D‐S) theory, and a distributed fuzzy belief structure calculated by fuzzy set theory. The results from the combined algorithms yield distributed assessment grade matrices. The application of the model to the Xixi‐Chengnan area, China, illustrates its usefulness and validity for LSRA. The model utilizes a combination of all types of evidence, including all assessment information—quantitative or qualitative, complete or incomplete, and precise or imprecise—to provide assessment grades that define risk assessment on the basis of hazard and vulnerability. The results will enable risk managers to apply different risk prevention measures and mitigation planning based on the calculated risk states.