万学嗨文考研英语钻石卡专项加强课程(阅读篇)

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2009年考研 钻石卡专项加强 阅读

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英语钻石卡专项加强课程—阅读 考研的成败在于英语,英语的成败在于阅读。考研阅读取得理想成绩,需要具备的能力: 1 词汇辨析能力 2 长难句理解能解能力 3 结构把握能力 4 题型剖析能力

How to achieve the abilities above?

词汇辨析能力以及长难句分析能力 平时复习时,除了加强词汇,语法方面的基本训练,也需要加强精读和泛读的阅读实践,以精读为主,以泛读为辅——(8月份之前)。 1 精读 1)有意识地进行长难句、复杂句式结构分析的训练;善于在复杂的结构中找出主体结构,特别是主句的主语和谓语,理清各成分之间的语法和逻辑关系,并以此作为句子理解和翻译的起点。 2 )过去我们曾经建议大家注意英语的一词多义,这里还要建议大家注意英语的一词多性,特别是名词,动词,形容词三种词性的互换;应该有意识地做一些“名词”“动”译,“动词”“名”译等方面的训练。 Nowadays, the professionals have to market themselves. 否则很可能因为找不到谓语动词,无法把握整个句子的意思。 3 )注意词语的固定搭配,特别是“动词+介词”、“动词+副词”的搭配,因为此类搭配不同于“adj.+介词”的搭配——常伴有词义的改变。 And if scientists have yet to create the mechanical version of science fiction, they have begun to come close.

4 )注意同义词、近义词、形近词的区别和分辨。这既是考试的需要,更是英语学习进一步提高的一个方向和一条必由之路。 精读首先需要选好材料,首推历年真题,使用方法是按照考试要求的速度做题。注意控制阅读、解题节奏,合理调配时间。但是真题文章毕竟有限,而且目前阶段研究真题尚早,所以从目前所使用的练习题开始。 2泛读 平时注意阅读一些英文报纸和杂志的社会,教育,经济,科技等专栏,以了解这些方面的文章语言特色,增加背景知识储备,培养、增强语感。 3

只看非敏感话题:社会、经济、社会、文化、教育、科技、法律等题材;排除政党政治、宗教、民族冲突等敏感话题。 英语复习疲惫时,阅读自己感兴趣的文章,因为核心词汇和语法结构都是类似的,有利于复习背过的词汇,有利于增强语感,提高阅读速度。

结 构 把 握 能 力 从历次考试来看,考研文章绝大多数为说明文和议论文(这也是由考研选拔的目的性决定的)。而这两类文章有很大共性。 说明文通常为对某事物的特点、功能作用、发展等分别进行说明,根本目的在于让读者了解这些信息,重视信息的客观陈述。全文结构也通常为三大板块。 文章举例:2002年text one, text two

Text 2 Since the dawn of human ingenuity, people have devised ever more cunning tools to cope with work that is dangerous, boring, burdensome, or just plain nasty. That compulsion has resulted in robotics -- the science of conferring various human capabilities on machines. And if scientists have yet to create the mechanical version of science fiction, they have begun to come close.

As a result, the modern world is increasingly populated by intelligent gizmos whose presence we barely notice but whose universal existence has removed much human labor. Our factories hum to the rhythm of robot assembly arms. Our banking is done at automated teller terminals that thank us with mechanical politeness for the transaction. Our subway trains are controlled by tireless robot-drivers. And thanks to the continual miniaturization of electronics and micro-mechanics, there are already robot systems that can perform some kinds of brain and bone surgery with submillimeter accuracy -- far greater precision than highly skilled physicians can achieve with their hands alone.

But if robots are to reach the next stage of laborsaving utility, they will have to operate with less human supervision and be able to make at least a few decisions for themselves -- goals that pose a real challenge. “While we know how to tell a robot to handle a specific error,” says Dave Lavery, manager of a robotics program at NASA, “we can’t yet give a robot enough ‘common sense’ to reliably interact with a dynamic world.”

Indeed the quest for true artificial intelligence has produced very mixed results. Despite a spell of initial optimism in the 1960s and 1970s when it appeared that transistor circuits and microprocessors might be able to copy the action of the human brain by the year 2010, researchers lately have begun to extend that forecast by decades if not centuries.

What they found, in attempting to model thought, is that the human brain’s roughly one hundred billion nerve cells are much more talented -- and human perception far more complicated -- than previously imagined. They have built robots that can recognize the error of a machine panel by a fraction of a millimeter in a controlled factory environment. But the human mind can glimpse a rapidly changing scene and immediately disregard the 98 percent that is irrelevant,