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2017武汉四月调考英语试题及答案发布

来源:3773考试网 [2017/4/16] [查分关注微信公众号:考升]

武汉市2017届高中毕业生四月调研测试英语试卷
武汉市教育科学研究院命制    2017.4.14

 本试题卷共12页,72题。全卷满分150分。考试用时120分钟。
★祝考试顺利★
注意事项:
1.答卷前,考生务必将自己的学校、考号、班级、姓名等填写在答题卡上。
2.选择题的作答:每小题选出答案后,用2B铅笔把答题卡上对应题目选项的答案信息点涂黑,如需改动,用橡皮擦干净后,再选涂其他答案标号,答在试题卷、草稿纸上无效。
3.填空题和解答题的作答:用0. 5毫米黑色签字笔直接答在答题卡上对应的答题区域内,答在试题卷、草稿纸上无效。
4.考生必须保持答题卡的整洁。考试结束后,将试题卷和答题卡一并交回。

第一部分听力(共两节,满分30分)
做题时,先将答案标在试卷上。录音内容结束后,你将有两分钟的时间将试卷上的答案转涂到答题卡上。
第一节(共5小题;每小题1.5分,满分7.5分)
听下面5段对话。每段对话后有一个小题,从题中所给的A、B、C三个选项中选出最佳选项,并标在试卷的相应位置。听完每段对话后,你都有10秒钟的时间来回答有关小题和阅读下一小题。每段对话仅读一遍。
例:How much is the shirt?
A. £ 19.15.     B. £ 9.18.       C. £ 9.15.       答案是C。
1.When will the bus most likely come?
A. In five minutes.    B. In ten minutes.     C In fifteen minutes.
2.What does the man hope to do in Las Vegas?
A. Buy a shirt.      B. Buy a suitcase.       C. Win lots of money.
3. What does the woman think of her sister?
A. Neat.          B. Noisy.             C. Untidy.
4. What are the speakers mainly talking about?
A. Making sandwiches.
B. Buying food for a meeting.
C .Earning money for an association.
5. Where does this conversation probably take place?
A. In a cafe.       B. In a library.          C. In an Internet bar.
第二节(共15小题;每小题1 .5分,满分22.5分)
听下面5段对话或独白。每段对话或独白后有几个小题,从题中所给的A、B、C三个 选项中选出最佳选项,并标在试卷的相应位置。听每段对话或独白前,你将有时间阅读各个小题,每小题5秒钟;听完后,各小题将给出5秒钟的作答时间。每段对话或独白读两遍。
听第6段材料,回答第6、7题。
6.What does the woman want to do?
A.Use the man’s phone.
B.Get a ride from the man.
C.schedule her appointment.
7.Where is the woman’s car?
A.Near the man’s company.
B.At her hairdresser‘s.
C.Outside her office.
听第7段材料,回答第8、9题。
8. Where does the woman buy most of her music?
A. From iTunes.        B. From eMusic.    C. From Google Play.
9. What does the man seem to care about?
A. Saving money on music.
B. Collecting a certain kind of music.
C. Supporting independent musicians.
听第8段材料,回答第10至12题。
10. Who is the man going to the movies with?
A. His sister.          B. The woman.      C. His friend Ray.
11 . What does the woman want to see?
A. A musical.      B. A documentary.      C. An action film.
12. What does the man dislike about films like Rogue One?
A. The acting.      B. The music.          C. The dialogue.
听第9段材料,回答第13至16题。
13. What is the relationship between the speakers?
A. Husband and wife.      B. Doctor and patient.   C. Boss and employee.
14. Where does the woman work?
A. In a hospital.          B. At a university.       C. At a tech company.
15. How long has the woman been at her present job?
A. About one month.      B. About six months.      C. About one year.
16. What is the man’s advice?
A. Finding a new job.
B. Taking some medicine.
C. working out more often.
听第10段材料,回答第17至20题。
17. How much of a discount do Deluxe Pass buyers get?
A. 10% off.       B. 15% off.            C. 50% off.
18. What is the cost of the Signature Pass?
A. $619            B. $849.      C. $1049.
19. What will members receive if they pay before November 30?
A. One free month.   B.Seasonal discounts.   C. Free parking passes.
20. Who can pay for the membership on a month — to — month plan?
A. People who live in California.
B. People who purchase the Signature Pass.
C. People who buy the Signature Plus Pass.
第二部分阅读理解(共两节,满分40分)
第一节(共15小题;每小题2分,满分30分)
阅读下列短文,从每题所给的四个选项(A、B、C和D )中,选出最佳选项,并在答 题卡上将该项涂黑。
A
Elon Musk was bom in South Africa, in 1971. A crazy fan of computers, by the age of twelve,Musk had written the code (代码)for his own video game, which he sold for a profit.
He attended Queen’s University in Canada, and transferred (转到)to the University of Pennsylvania, where he earned two bachelor’s degrees, economics and physics. He was admitted to Stanford University in California, intending to earn a PhD in energy physics.
First Company — Zip2 Corporation
In 1995, at the age of 24, Musk dropped out of Stanford University after just two days of classes to start his first company Zip2 Corporation. It was an online city guide that provided content for the new online versions of the New York Times and the Chicago Tribune newspapers. In 1999, Musk got $22 million from the sale of Zip2.
Online Banking
In 1999, Elon Musk started X. com with $ 10 million dollars from the sale of Zip2. X. com was an online bank, and he is credited with inventing a method of securely transferring money using a receiver’s e-mail address.
Paypal
In 2000, X. com bought a company called Confinity, which had started an Internet money-transfer process called PayPal. Elon Musk dropped the online banking focus to concentrate on becoming a global payment transfer provider. In 2002, eBay bought Paypal for $ 1 .5 billion.
Space Exploration Technologies
In 2002,Elon Musk started SpaceX. He is a long-standing member of the Mars Society,a nonprofit organization that supports the exploration of Mars,and Musk is interested in building a greenhouse on Mars. SpaceX has been developing rocket technology to enable Musk’s project.
Tesla Motors
In 2004,Elon Musk cofounded Tesla Motors,of which he is the only product architect. Tesla Motors builds electric vehicles. The company has built an electric sports car, the Tesla Roadster.
SolarCity
In 2006,Elon Musk cofounded SolarCity,a photovoltaics (光伏)products and services company with his cousin Lyndon Rive.
21. What was Elon Musk gifted in when he was young?
A. Economics.     B. Physics.     C. Energy.     D. Coding.
22. Which of the following provides international payment transfer service?
A. X. com.       B. Confinity.     C. Paypal.     D. eBay.
23. What has SpaceX been doing to help achieve Musk’s project?
A. Sponsoring the Mars Society.
B. Developing rocket technology.
C. Building a greenhouse on Mars.
D. Supporting the exploration of Mars.
24. What is Tesla Motors noted for?
A. Its electric vehicles.
B. Its photovoltaic products.
C. Its service as a city tourist guide.
D. Its business with other companies.
B
President Theodore Roosevelt’s letter to his son
Dear Ted,
I was glad to hear that you were to be confirmed.
Secretary Root left on Monday and Governor Taft took his place. I have missed,and shall miss, Root badly. He has been the ablest, most generous and most disinterested friend and advisor that any President could hope to have; and immediately after leaving, he provided a great service by a speech at the Union League Club,in which he said in most effective fashion the very things I should have liked him to say; and his words, moreover, earned weight when addressing such an audience. Taft is a splendid fellow and will be an aid and comfort in every way. But, as mother says, he is too much like me to be able to give me as good advice as Mr. Root because of the very differences of character between us.
If after fully thinking the matter over,you remain firmly convinced that you want to go into the army, well and good. I shall be rather sorry for your decision, because I have great confidence in you and I believe that in civil life you could probably win in the end a greater prize than if you go into the army — though, of course,a man can do well in the army. I know perfectly well that you will have hard times in civil life. Probably most young fellows when they have graduated from college, feel pretty depressed for the first few years. In ordinary cases, it at first seems as if their efforts were not leading anywhere,as if the pressure around the foot of the ladder was too great to permit getting up to the top. But I have faith in your ability and your power to force yourself to the front when you have once found out and taken your line. However, you and I and mother will talk the whole matter over when you come back here on Easter.
25. What mainly contributes to Mr. Root’s being a good advisor according to the President?
A. His great generosity.              B .His effective speech.
C. Their differences in character.       D. Their similarities in character.
26. What did the President wish Ted to do?
A. Lead a civil life.                  B.Do well in the army.
C. Force himself to the front.          D.Take post-graduate courses.
27. What did the President say about most young people starting their life after graduation?
A. They would make no efforts.         B.They would have a hard life.
C. They would look for a ladder.         D. They would have no confidence.
C
Trailers(预告片)shouldn’t really be a hard thing to do: show some footage(镜头),get people excited, but don,t give too much away. It,s a practice that some movies struggle to do, with many either getting too enthusiastic about showing their big plot points,and others simply not catching the magic of the movie. Considering that humans struggle with this practice so much,the folks over the 20th Century Fox decided to see what a computer could do,tasking IBM’s Watson, the supercomputer, with cutting together footage from upcoming Sci-Fi thriller, Morgan, to create the final trailer. ( IBM Watson has done many things ; beat human competitors in quiz shows, created reserved recipes and described the contents of photos. Now it has become the first-ever AI to produce a film trailer for the new sci-fi film. ) The result was actually surprisingly good.
Using Watson’s experimental learning techniques, IBM’s cutting edge AI sorted out hundreds of classic thriller trailers to learn what exactly gets an audience to that special place of being both scared and entertained. With that knowledge firmly in place, Watson processed the entire Morgan movie, selecting the 10 most thrilling and frightening moments to cut together into a trailer.
“Watson was able to model the scenes visually in order to determine: was a scene scary? Was it a tender moment? Was there sadness, or happiness?” said IBM’s John Smith.
Although a human editor was still needed to slice the scenes together to tell a coherent story, the AI shortened the process down to only 24 hours when it typically takes around 10 to 30 days to complete a trailer. Still, it,s a great impressive achievement, which the likes of Terminator:Genisys could perhaps learn from in the future.
28. What does the author think is amazing according to the text?
A. Human editors taking 30 days to make a trailer.
B. The 20th Century Fox having produced a thriller.
C. IBM’s Watson having created a trailer for a thriller.
D. Humans being able to learn from machines in the future.

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