高职英语教材中的概念隐喻研究     

周静 《漯河职业技术学院学报》2014,(5):109-111

高职英语教材当中,存在多种概念隐喻表达。文章旨在探讨如何在教学中引导学生通过共同的经验体验来体会共通的概念隐喻,以培养学生的隐喻意识,帮助学生更好地理解词汇意义之间的关系,提高他们的翻译能力以及外语交际能力。  相似文献   

雷蒙德·威廉斯的文化价值观     

李兆前 《绵阳师范学院学报》2014,(7):105-109

关于文化的本体价值,雷蒙德·威廉斯认为,文化本质上是平常的,没有等级之分,因而他倡导建立共同文化,即完美的民主文化。关于文化的社会价值,他认为,文化与经济同样是"社会的、物质的生产过程",因而具有与社会经济过程平等地批判、建构、推动社会发展的作用。他还强调,一定社会中真正占主导地位的文化是为统治阶级服务的,因此只有社会大众获得了文化主导权的社会才是真正的民主社会。  相似文献   

基于R-R技术的腐败程度统计推断     

赵开斌  方葆青 《巢湖学院学报》2009,11(6):1-3

本文借助于敏感性问题调查技术--随机化问题回答技术(R-R技术)对局部部门(领域)的腐败程度进行统计推断,客观评估部门(领域)腐败实际状况,对构建腐败治理的测评体系将会起到一定的作用.  相似文献   

话语标记You know的话语功能分析     

李桔元  李鸿雁 《重庆师专学报》2006,5(6):59-62

话语标记（discourse markers）是国外会话分析、语用学研究的一个新领域。从会话互动和认知推理的角度对话语标记you know的话语功能进行了研究，结论认为它是多功能的，包括隐含推理功能、人际功能、话语修正功能和话语管理功能。这几种功能是相互联系的，后三者几乎可以从隐含推理功能中找到解释。  相似文献   

语境理论的新发展--认知语境   总被引：1，自引：0，他引：1  

吕郑芳  李永国 《烟台职业学院学报》2005,11(3):45-48

语境是语用学中的一个重要概念。语境是动态的,在言语交际中是一个变量;理解言语的过程就是在语境与新信息之间所作的推理过程。  相似文献   

会话含义的语用阐释     

魏月红 《安徽职业技术学院学报》2005,4(2):38-39

根据格莱斯的会话含义理论,含义可以给语言事实提供一些其他理论所鞭长莫及的功能性解释。文章从会话含义的定义、分类、违反原则及含义推导等方面对其作了分析,并运用关联论推导会话含义,解释语言交际。  相似文献   

试论马克思哲学革命的实质和意义     

屈光峰 《江苏广播电视大学学报》2003,14(4):53-55

实践思维方式的确立是马克思哲学超越传统哲学的标志，是马克思哲学革命的实质。马克思哲学开启了一条由实践思维方式超越传统形而上学的道路，使哲学向现实生活世界回归。  相似文献   

基于模糊推理的智能楼宇安防系统的设计     

彭远强 《大众科技》2012,(8):1-3

针对智能楼宇安防系统高智能和高精度的设计需求,提出了基于模糊推理的智能楼宇安防系统设计方案,构建了模糊推理系统的组成结构.针对智能楼宇的特定应用环境,分析了各种安防控制的参数采集和处理过程.设计了模糊推理系统中的推理机制以及模糊推理规则,实现了一个高度智能化的楼宇安防系统.  相似文献   

Near-duplicate video detection featuring coupled temporal and perceptual visual structures and logical inference based matching     

Mohammed Belkhatir  Bashar Tahayna 《Information processing & management》2012

We propose in this paper an architecture for near-duplicate video detection based on: (i) index and query signature based structures integrating temporal and perceptual visual features and (ii) a matching framework computing the logical inference between index and query documents. As far as indexing is concerned, instead of concatenating low-level visual features in high-dimensional spaces which results in curse of dimensionality and redundancy issues, we adopt a perceptual symbolic representation based on color and texture concepts. For matching, we propose to instantiate a retrieval model based on logical inference through the coupling of an N-gram sliding window process and theoretically-sound lattice-based structures. The techniques we cover are robust and insensitive to general video editing and/or degradation, making it ideal for re-broadcasted video search. Experiments are carried out on large quantities of video data collected from the TRECVID 02, 03 and 04 collections and real-world video broadcasts recorded from two German TV stations. An empirical comparison over two state-of-the-art dynamic programming techniques is encouraging and demonstrates the advantage and feasibility of our method.  相似文献   

Instrumental Variables Two-Stage Least Squares (2SLS) vs. Maximum Likelihood Structural Equation Modeling of Causal Effects in Linear Regression Models     

Alberto Maydeu-Olivares  Dexin Shi  Yves Rosseel 《Structural equation modeling》2013,20(6):876-892

In the presence of omitted variables or similar validity threats, regression estimates are biased. Unbiased estimates (the causal effects) can be obtained in large samples by fitting instead the Instrumental Variables Regression (IVR) model. The IVR model can be estimated using structural equation modeling (SEM) software or using Econometric estimators such as two-stage least squares (2SLS). We describe 2SLS using SEM terminology, and report a simulation study in which we generated data according to a regression model in the presence of omitted variables and fitted (a) a regression model using ordinary least squares, (b) an IVR model using maximum likelihood (ML) as implemented in SEM software, and (c) an IVR model using 2SLS. Coverage rates of the causal effect using regression methods are always unacceptably low (often 0). When using the IVR model, accurate coverage is obtained across all conditions when N = 500. Even when the IVR model is misspecified, better coverage than regression is generally obtained. Differences between 2SLS and ML are small and favor 2SLS in small samples (N ≤ 100).  相似文献