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     

博士后工作的认识与实践

以兰州大学博士后工作的实践为基础 ,总结了兰州大学开展博士后工作所取得的成绩和经验 ,指出了存在的主要问题。并结合“西部大开发”这一背景 ,有针对性地提出了发展兰州大学博士后事业的若干建议 ,以期对西部地区的博士后工作有所裨益。     

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。     

文化研究的学科化与文学研究的解合法化

近几年来,"文化研究"在文化现实的逼迫和人为的造势中学科化了。相反,文学研究作为学科却出现了"解合法化"的趋势。但是,即使是趋于强势的文化研究也取代不了逐渐边缘化的文学研究。它们两者不是包容或更替的关系。文化研究作为学科是必不可少的,但认为它是文学研究者的事情并将其设置于中文系则既是认识的不到位,也是实践所难以胜任的。在文学并没有真的终结的情况下,文学研究的路仍然宽敞。     

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.     

Towards a transdisciplinary blueprint to studying bullying

Events related to bullying are so complex that they require a much broader examination than is usually available from a single disciplinary point of view. The purpose of the present paper is to offer new ways of examining this complex phenomenon. We will argue that transdisciplinarity (henceforth TD) could bring a more comprehensive analysis and a deeper understanding to the current state of bullying research. As a way of emphasizing the benefits of a more pluralistic and integrative approach, we will use TD based examples to describe the general context and process we used to develop a new definition of bullying, one that provides a sharper distinction between bullying and general aggression, thus offering the possibility of more targeted intervention strategies. The present paper is divided into three sections, namely, a selected review of the TD literature, an application of TD inspired ideas and tools that examine bullying from a number of interrelated perspectives, and an outline of a conceptual ‘Disciplinary Continuum’, as an example of how TD can be used to examine complex phenomena. Moreover, we will highlight TD’s expanding role in the funding process, as it is increasingly required by granting agencies and governmental ministries as a criterion for universities’ funding. We conclude by outlining ideas for further inquiries.     

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.