英语习语的特征与翻译方法探析

英语习语是英语语言的精华,有其特有的结构、语义、文化等特征。了解习语的多元特征,才能准确理解其意义,正确翻译习语。本文从结构语言学、认知语言学、社会语言学等视角分析习语的结构、语义、文化等多元特征,并对习语的翻译方法进行探讨。     

从“纯语言”和异化翻译视角探析《京华烟云》的传译策略

《京华烟云》是林语堂用英文写成的长篇小说。从解构主义视角来看,《京华烟云》是一种独特的英文创作,其内容尽含创造性翻译,对中国近现代社会30多年间部分重要历史事件进行了解构。从本雅明的“纯语言”思想和韦努蒂的异化策略来阐释这部作品的英文传译内容。     

论我国英汉学习词典例证翻译之不足

随着外语学习者数量的增加,双语学习词典的编译呈现出更加繁荣的景象,这使得例证的翻译研究不断深入。然而,纵观当前一些双语类的词典关于例证的翻译,不难发现还存在某些问题,如望文生义,死译和硬译,欠额翻译和过载翻译,英语习语、谚语的异化和归化,语体不当及"被"字泛滥等。这些都需要我们结合相关的翻译理论,针对具体问题提出修改建议。     

唯有译书,方能愁苦一抒——从个人特质及动机探讨严复翻译追求

个人特质是翻译动机研究的重要参数,强调特质对动机形成三要素的影响有利于全面、客观地研究译者主体性问题。因此,分析严复个人特质对其翻译动机产生的强大驱动力,有助于更好地理解严复从事翻译事业的追求及其敬业精神、翻译目的、古雅笔法。避免不加深究的武断评价。     

An efficient and fast algorithm for estimating the parameters of two-dimensional sinusoidal signals

In this paper we propose a computationally efficient algorithm to estimate the parameters of a 2-D sinusoidal model in the presence of stationary noise. The estimators obtained by the proposed algorithm are consistent and asymptotically equivalent to the least squares estimators. Monte Carlo simulations are performed for different sample sizes and it is observed that the performances of the proposed method are quite satisfactory and they are equivalent to the least squares estimators. The main advantage of the proposed method is that the estimators can be obtained using only finite number of iterations. In fact it is shown that starting from the average of periodogram estimators, the proposed algorithm converges in three steps only. One synthesized texture data and one original texture data have been analyzed using the proposed algorithm for illustrative purpose.     

政府绩效审计中的绩效标准应用思路及取向

绩效标准是政府绩效审计的核心。文章构建了一个包括“效果性”、“效率性”、“正当性”、“公平性”、“透明性”、“回应性”标准在内的完整的政府绩效评价标准体系,作为政府绩效水平定性评价的依据,在此基础上构建系列适合被审计单位或项目的评价指标,采用数学方法则可以实现对被审计单位或项目绩效水平的定量评价。      

中外企业简介的文本对比与外宣英译:以专用语料库为路径

借助Antconc语料库检索软件及人工统计的方法,通过自建两个小型专用语料库,选取世界500强中10家中外企业的简介文本进行对比分析。研究发现,外国企业简介和中国企业简介呈现明显不同的词汇特征、句子特征和语篇特征。针对此,文章提出了英译中国企业简介的若干实用策略,即增加第一人称;删减冗余信息;改变语态和主语,突出重点内容。研究结果对中国企业在走向全球化过程中如何更好地解读自己、诠释自己、宣传自己具有重要的借鉴价值。     

Kernel partial correlation: a novel approach to capturing conditional independence in graphical models for noisy data

Graphical models capture the conditional independence structure among random variables via existence of edges among vertices. One way of inferring a graph is to identify zero partial correlation coefficients, which is an effective way of finding conditional independence under a multivariate Gaussian setting. For more general settings, we propose kernel partial correlation which extends partial correlation with a combination of two kernel methods. First, a nonparametric function estimation is employed to remove effects from other variables, and then the dependence between remaining random components is assessed through a nonparametric association measure. The proposed approach is not only flexible but also robust under high levels of noise owing to the robustness of the nonparametric approaches.     

Selecting the regularization parameters in high-dimensional panel data models: Consistency and efficiency

This article considers panel data models in the presence of a large number of potential predictors and unobservable common factors. The model is estimated by the regularization method together with the principal components procedure. We propose a panel information criterion for selecting the regularization parameter and the number of common factors under a diverging number of predictors. Under the correct model specification, we show that the proposed criterion consistently identifies the true model. If the model is instead misspecified, the proposed criterion achieves asymptotically efficient model selection. Simulation results confirm these theoretical arguments.     

《红楼梦》回目中语形修辞格及其翻译研究

任何一种语言都有其独特的文字和语音,又受到文化、心理等因素影响,因此,语言形式美的翻译具有相对性。中国古典章回小说《红楼梦》的回目语言,八字对仗,整齐划一,句式凝练而又富于变化。翻译时,只有通过补偿、转换、迁移、变通等翻译策略,才能实现对源语句型结构、对偶、重复、比喻等语形修辞美的传递,在译语中最大限度地再现源语的语言形式美。