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     

刑事诉讼主体的法理分析--以刑事法律关系为基础

犯罪行为引起的刑事法律关系是考察刑事诉讼主体问题的真正法理基础。国家与被告人作为刑事法律关系的主体是刑事诉讼的当事人 ,被害人及其近亲属不是刑事法律关系的主体 ,故不是刑事诉讼当事人 ,只是发动、支持公法性诉讼的公民追诉人。审判权与公诉权的分立 ,本质上是国家将自身作为自己的对象 ,并在自己(裁判者 )与作为对象的自身 (当事人 )之间建立绝对区分 ,体现了作为公共权力的国家的自我反思节制。其他刑事诉讼主体均不是刑事法律关系的主体 ,按照意志关系或者是国家的代表、被告人和被害人的代理人或帮助人 ,或者是不从属于任何一方的诉讼主体。     

论发达地区农村社会阶层结构的变迁——以绍兴县西蜀阜村为例

此文以绍兴县西蜀阜村为例,基于对大量翔实资料的实证分析,阐述和探讨了经济发达的农村社区在农村工业化和城市化过程中,村落社会结构分化的历史进程、决定因素和现实状况,探讨了阶层分化与农村社会经济变迁的关系,对深化沿海发达地区中心镇村现代化进程的认识,有一定的借鉴意义。     

Statistical Distributions of Daily Breathing Rates for Narrow Age Groups of Infants and Children

Children may be more susceptible to toxicity from some environmental chemicals than adults. This susceptibility may occur during narrow age periods (windows), which can last from days to years depending on the toxicant. Breathing rates specific to narrow age periods are useful to assess inhalation dose during suspected windows of susceptibility. Because existing breathing rates used in risk assessment are typically for broad age ranges or are based on data not representative of the population, we derived daily breathing rates for narrow age ranges of children designed to be more representative of the current U.S. children's population. These rates were derived using the metabolic conversion method of Layton (1993) and energy intake data adjusted to represent the U.S. population from a relatively recent dietary survey (CSFII 1994–1996, 1998). We calculated conversion factors more specific to children than those previously used. Both nonnormalized (L/day) and normalized (L/kg-day) breathing rates were derived and found comparable to rates derived using energy estimates that are accurate for the individuals sampled but not representative of the population. Estimates of breathing rate variability within a population can be used with stochastic techniques to characterize the range of risk in the population from inhalation exposures. For each age and age-gender group, we present the mean, standard error of the mean, percentiles (50th, 90th, and 95th), geometric mean, standard deviation, 95th percentile, and best-fit parametric models of the breathing rate distributions. The standard errors characterize uncertainty in the parameter estimate, while the percentiles describe the combined interindividual and intra-individual variability of the sampled population. These breathing rates can be used for risk assessment of subchronic and chronic inhalation exposures of narrow age groups of children.     

小议英语无灵句及其翻译

无灵句是英语中一种很重要的句式结构，能否掌握无灵句的特点及其翻译方法直接影响到英语学习者的学习效果。本文主要概括了无灵句的特点及其分类，并且归纳出较为行之有效的翻译方法。     

宋明理学与中华民族精神

宋明理学是中国古代社会后期别具特色和风格的哲学思维形态。它被统治阶级奉为官方哲学,长达六七百年之久,支配着我国经济、政治以及文化思想的发展。由于它构建了一套严谨的极具思辨性的理论体系,把先前儒家所提出的伦理纲常上升到宇宙本体论的高度,从而强化了爱国主义,反映了时代的共同价值取向,提升了中华民族对于崇高精神境界的追求,正是这些承担并体现了形成与发展中的中华民族精神,是锤炼和塑造当代中华民族精神的文化土壤。     

对第二语言习得中“年龄小优势论”的辩证分析

多数人认为:在第二语言习得过程中,年龄小的人比年龄大的人学得好;儿童比成年人学得好。通过对大量的有关年龄因素如何影响"第二语言习得"(SLA)的资料的辩证分析,肯定了在自然条件下,就语音和语法方面而言,年龄越小,学得越好,但年龄大的人在读写方面的优势以及成年人比儿童能够更快地习得第二语言语法的事实证明了:在"第二语言习得"中,年龄小的人并非总是比年龄大的人学得好,从而论证了"年龄小优势论"具有一定的片面性。     

神性、人性和理性--略论艺术形态与时代精神

艺术的本质在于其精神性,从艺术和时代精神的相互关系中去确立划分艺术形态的标准是符合艺术本质的.按照艺术所包含的精神内容的不同,艺术形态可分为神性艺术、人性艺术和理性艺术,以丰富的艺术史例可以说明其特征.     

袁宏道文学思想再认识

明中叶以后 ,以公安三袁为主力的公安派高举“性灵”大旗 ,开创了与“复古”论调大相径庭的一代风气 ,影响甚大。而公安三袁中尤以袁宏道为重 ,袁宏道的文学思想表现在三个方面 :一、识时通变的文学发展观 ;二、“独抒性灵”的创作主张 ;三、“本色轻淡”的艺术趣味。     

A Bayesian method for classification and discrimination

We discuss Bayesian analyses of traditional normal-mixture models for classification and discrimination. The development involves application of an iterative resampling approach to Monte Carlo inference, commonly called Gibbs sampling, and demonstrates routine application. We stress the benefits of exact analyses over traditional classification and discrimination techniques, including the ease with which such analyses may be performed in a quite general setting, with possibly several normal-mixture components having different covariance matrices, the computation of exact posterior classification probabilities for observed data and for future cases to be classified, and posterior distributions for these probabilities that allow for assessment of second-level uncertainties in classification.