题目内容

【题目】Directions: After reading the passage below, fill in the blanks to make the passage coherent and grammatically correct. For the blanks with a given word, fill in each blank with the proper form of the given word; for the other blanks, use one word that best fits each blank.

How Steven Spielberg Stays Inspired

Ask a young person who the greatest American film director is, and you may get the answer Steven Spielberg, 1 has certainly made more successful films than any other director in the West.

Spielberg was born in America in 1946. What he impressed others most was 2 he had unusual abilities when he was very young: completing his first 15-minute home movie at 13. He earned $100 at the age of 16, 3 he made a 135-minute home movie called Firelight and it was shown at a local cinema.

A Hollywood film studio employed Spielberg to make a full-length film Sugarland Express on discovering his talent for movie-making. His next film was Jaws, a film about a shark that ate people. This was one of 4 (successful) films of all times. He received the Award for lifetime achievement at the Golden Globes (金球奖) in 2009.

Despite all his outstanding achievements in his field, some of his films have been less successful in the last fifteen years. But people can never deny the fact 5 he, more than anyone else in the history of films, understands the meaning of the word “entertainment”.

Now, Spielberg’s role as a father of seven has taught him a great deal about 6 makes a good story — at bedtime and otherwise. When his kids were growing up, he’d tell them stories every night7 he could stay active in film-making.

“In the past few years, I8 (inspire) by everybody who makes a good movie,” Spielberg said.” “I can’t risk 9 (lose) my followers’ passion for film.” Also, he owes (归因) his success to his attempt10 (keep) working and so he looks to his contemporaries (同时代的人) for that kind of ... current inspiration.

【答案】

1who

2that

3when

4the most successful

5that

6what

7so that

8have been inspired

9losing

10to keep

【解析】

本文是一篇人物传记,介绍了斯皮尔伯格的生平及成就。

1考查非限定性定语从句。句意:斯皮尔伯格无疑是西方最成功的导演。先行词为Steven Spielberg,指人,关系词在非限定性定语从句中作主语,故填who

2考查表语从句。句意:他给别人印象最深的是很小的时候他就有不同寻常的能力。空处引导表语从句,从句结构完整,用that引导这个表语从句,只起连接作用,无实义,故填that

3考查非限定性定语从句。句意:16岁时,他拍了一部135分钟的家庭电影《火光》,赚了100美元。分析句子结构可知此处为非限定性定语从句,先行词为at the age of 16,指时间,从句不缺主宾表,缺少时间状语,故填when

4考查形容词最高级。句意:这是有史以来最成功的电影之一。one of后接形容词最高级,故填the most successful

5考查同位语从句。句意:人们永远无法否认这个事实——在电影史上,他比任何人都理解“娱乐”这个词的含义。分析句子结构可知,此处为同位语从句,用that解释fact的内容,故填that

6考查宾语从句。句意:斯皮尔伯格作为七个孩子的父亲这一角色教会了他很多关于什么是好故事的知识。分析句子结构可知,此处为宾语从句,从句中的makes缺少主语,故填what

7考查状语从句。句意:他每天晚上都给他们讲故事,以便他能在电影制作上保持活跃。根据句意可知此处用so that引导目的状语从句,故填so that

8考查时态语态。句意:在过去的几年里,我受到每一个拍好电影的人的鼓舞。“In the past few years”表明用现在完成时, Iinspire之间是被动关系,所以用现在完成时的被动语态,故填have been inspired

9考查非谓语动词。句意:我不能冒我的追随者对电影失去热情的风险。risk doing表示“冒险做某事”,故填losing

10考查不定式。句意:他把他的成功归因于继续工作的努力。attempt后接不定式作定语,表示“……的努力”,故填to keep

注意so that既可以引导目的状语从句,也可引导结果状语从句,其引导的是目的状语从句还是结果状语从句的区别有两个:①目的状语从句中往往有情态动词can ,could,may might;②从意思上看,目的状语从句的目的很明确。如,①Speak clearly so that they can understand you.清楚地表达以便他们能理解你(目的状语从句);②Jack was badly ill so that he had to rest.杰克病得很重,所以他必须休息(结果状语从句)

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【题目】When was the last time you had fun with your parents? Your parents are all busy during working days; during the weekends, you may want to hang out with them but they may have to work extra hours.

This is not uncommon. In China, both of the parents have their jobs. Most of theparents try their best to offer their children comfortable circumstances, but they seldom have time to stay with their children. A recent survey done in the US found that more than half of American parents spend less than three hours having fun with their children each week.

As the Daily Mail noted: Families are spending little quality time creating bonds and precious memories together during the week because of the demands of modern life.

【写作内容】

1.用约30个单词概述上述信息的主要内容;

2. 简要分析父母陪伴孩子的时间越来越少的原因;

3. 结合自己的经历,谈谈父母多陪伴孩子对其孩子的影响。

【写作要求】

1. 写作过程中不能直接引用原文语句;

2. 作文中不能出现真实姓名和学校名称;

3. 不必写标题。

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【题目】 Let us all raise a glass to AlphaGo and the advance of artificial intelligence. AlphaGo

DeepMind’s Go-playing AIjust defeated the best Go-playing humanLee Sedol. But as we drink to its success. we should also begin trying to understand what it means for the future.

The number of possible moves in a game of Go is so huge that. in order to win against a player like Lee. AlphaGo was designed to adopt a human—like style of gameplay by using a relatively recent development--deep learning. Deep learning uses large data sets“machine learning”algorithms (计算程序) and deep neural networks to teach the AI how to perform a particular set of tasks. Rather than programming complex Go rules and strategies into AlphaGoDeepMind designers taught AlphaGo to play the game by feeding it data based on typical Go moves. ThenAlphaGo played against itself, tirelessly learning from its own mistakes and improving its gameplay over time. The results speak for themselves.

Deep learning represents a shift in the relationship humans have with their technological creations. It results in AI that displays surprising and unpredictable behaviour. Commenting after his first lossLee described being shocked by an unconventional move he claimed no human would ever have made. Demis Hassabis. one of DeepMind's foundersechoed this comment“We're very pleased that AlphaGo played some quite surprising and beautiful moves. ”

Unpredictability and surprises are—or can be—a good thing. They can indicate that a system is working wellperhaps better than the humans that came before it. Such is the case with AlphaGo. Howeverunpredictability also indicates a loss of human control. That Hassabis is surprised at his creation's behaviour suggests a lack of control in the design. And though some loss of control might be fine in the context of a game such as Goit raises urgent questions elsewhere.

How much and what kind of control should we give up to AI machines? How should we design appropriate human control into AI that requires us to give up some of that very control? Is there some AI that we should just not develop if it means any loss of human control? How much of a say should corporationsgovernmentsexperts or citizens have in these matters? These important questions, and many others like themhave emerged in responsebut remain unanswered. They require humannot human - likesolutions.

So as we drink to the milestone in AI, let's also drink to the understanding that the time to answer deeply human questions about deep learning and AI is now.

1What contributes most to the unconventional move of AlphaGo in the game?

A. The capability of self-improvement.

B. The constant input of large data sets.

C. The installation of deep neutral networks.

D. The knowledge of Go rules and strategies.

2A potential danger of Al is _____.

A. the loss of human control B. the friendly relationship

C. the fierce competition D. the lack of challenge

3How should we deal with the unpredictability of AI?

A. We should stop AI machines from developing even further.

B. We should call on the government to solve these problems for us.

C. We should rely on ourselves and come up with effective solutions.

D. We should invent even more intelligent machines to solve everything.

4What's the author’s attitude towards this remarkable advance in AI?

A. Supportive. B. Optimistic.

C. Doubtful. D. Cautious.

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