发布时间 : 星期一 文章湖北省武汉市第六中学2019-2020学年高二下学期期中考试英语试卷 Word版含答案更新完毕开始阅读33524f3e8c9951e79b89680203d8ce2f00666538
武汉市第六中学2019--2020学年度下学期期中考试
高二英语试卷
考试时间：2020年4月28日上午9：00--11：00 试卷满分：150分
第Ⅰ卷
第一部分：听力（共两节，满分 30 分）
第一节（共 5 个小题；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。
1. Whom is the man talking to? A. A customer. A. $ 10 3. What does the man need? A. His sister to call him back. B. Something to eat and drink. C. Someone to take care of his pet.
4. When will the woman's plane leave for Chicago? A.8：00. B.9：20. C.10：00.
5. What happened to the woman's son? A. He didn't get the job he wanted. B. He failed an important exam. C. He was just fired by his company.
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。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. Which place is the hotel closest to? A. A shopping mall. A. About 11minutes. 听第7段材料，回答第8 至9 题。 8. What day is it today? A. Monday. A. 15 pounds. 听第8段材料，回答第10至12题。 10. What is the man telling the woman? A. The guests in the fitness center.
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B. A waitress. B. $ 6 C. A cleaner. C. $ 4
2. How much does the pie cost today?
B. A bank. B. About 20minutes. C. A railway station. C. About 30 minutes.
7. How long will it take the man to walk to the hotel?
B. Wednesday. B. 25 pounds. C. Thursday. C. 30 pounds.
9. How much does the man need to pay?
B. The business hours in the center. C. The problems in the locker room. 11. What's wrong with the clothes hangers? A. They always get stolen.
B. They are not strong enough in winter. C. They have been changed by other people. 12. What is the woman's attitude in the end? A. Cold. 听第9段材料，回答第13至16题。 13. What does the young man like to do? A. Volunteer at a food store. A. His grades are poor. B. He needs new friends.
C. He hasn't been doing well in sports. 15. What has the young man been studying for? A. A scholarship. A. Twice a week. B. A test to get in to college. C. A famous high school. B. Every evening. C. Once a week.
16. How often does the young man attend a study group? 听第10段材料，回答第17至20题。
17. How many games has the New Hampshire State women's basketball team won continuously? A. Six games. 18. Where was the earthquake? A. In New Hampshire. A. Two cars were involved.
B. One person managed to escape injury. C. Three people were seriously hurt.
20. Why is the Concord School District raising money? A. For classes. B. For their sports teams. C. For local dog rescues.
第二部分：阅读理解（共两节，满分 50分） 第一节（共15个小题；每小题2.5分，满分37.5分）
阅读下列短文，从每题所给的 A、B、C 和 D 四个选项中，选出最佳选项，并在答题卡上将该项涂黑。
A
The other day I was shopping at a local store and came upon a lady from India squatting (蹲下) on the floor looking for a certain product on the bottom shelf. She sprang up when she saw me as if to get out of my way. Apologetically she explained that she was a cashier at a nearby store and was on her lunch break, trying to get a few needed items before her time was up.
I reassured her, “I am in no hurry. Go ahead and do what you need to do.” While she
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B. Unsatisfied. C. Accepting.
B. Travel with his family. C. Play basketball.
14. Why is the woman worried about the young man?
B. Seven games. B. In Ohio. C. Ten games. C. In New York.
19. What happened in the car accident?
searched for a particular brand, she said that sometimes customers were rude to her at the store and she really appreciated my kindness. I told her that I had noticed cashiers being treated rudely by some people.
I also explained to her that I was a retired nurse and understood some of what she was saying first hand. Sometimes patients, families, or doctors could be very rude or mean. But I tried to understand why they were feeling that way and let it go. “The world would be a better place if we all acted kindly toward each other. Those who are rude may have bad karma coming after them eventually.” I added.
She nodded and was surprised, “So you know about karma?” My reply was simple. “A little bit. Karma is the same thing as doing something bad and it comes back to bite you on the butt.” She paused, looked puzzled, then broke out in a big smile and covered her mouth with her hand, laughing as she walked away.
It felt so good that in a brief exchange I showed her there were kind people in the world, which might have helped her regain her faith in humanity.
21. How did the lady react when she saw the author in the store? A. She apologized for her rude manners. product.
22 .Which of the following best describes the author? A. Kind and understanding. C. Responsible and humorous. B. Courageous and warm-hearted. D. Sympathetic and open-minded. B. She invited her to have lunch together.
D. She kept searching for the needed C. She stood up trying to make way for her. 23. What is the main message the author wants to convey?
A. Working as a cashier is no easy job. B. Those who are rude deserve bad karma.
C. Doing acts of kindness will make people feel good. D. We should treat others the way we want to be treated.
B
News anchors( 主 播 ) must have been reluctant to read out the following news: Xin Xiao Meng began working as the world’s first female artificial(人工的) intelligence news anchor at Xinhua News Agency on Sunday, three months after a male robot joined the profession.
Unlike previous news robots though, Xin does not read news like a cold machine; she reads it almost like a human being. The muscles on her face stretch and relax, and her reactions change as she continues reading. That’s why many news anchors were worried: Will AI replace us in the near future?
To find the answer, we have to analyse the technologies that support Xin at her job. Three key technologies are used to support Xin. First, samples of human voices are collected and synthesized ( 合 成 ). This is followed by the collection and synthesis of human muscle movement samples. And third the voices and movements are married in a way that when the AI news anchor reads, the micro-electric motors behind her face move to make her expressions seem more human.
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Yet we need a thorough knowledge of deep leaning technology to make a robot imitate a person’s voice. The developer needs to collect tens of thousands of pieces of pronunciations, input them into the machine and match them with the text or the AI to lean and read. The process for imitating facial movements is similar. The developer has to analyse the movements of the 53 muscles in the human face, make a model set from the collected data for the AI news anchor to lean, and imitate the movements of facial muscles via programs.
Both the technologies used to make Xin’s performance impressive are mature. The real difficulty lies in the third—the technology to match the pronunciations with facial movements so that Xin’s expressions vary according to the content of the news report. In fact, Xin's expressions don' t always change according to the content. As a result, her expressions look anything but human. Actually, AI is still no match for human qualities. 24. What does the underlined word \reluctant \ A. Delighted. B. Unwilling. C. Confused. D. Optimistic.
25. What can we infer about previous news robots? A. They read news without expressions. C. They could interview sports stars 26. What do we know about the third technology? A. This technology is very perfect so far. C. This technology remains at the theoretical stage. B. This technology is quite popular now. D. This technology is far from mature.
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B. They looked like a human being D. They could interact with audience.
27. From the last paragraph, we can draw a conclusion that A. human news anchors should learn from AI anchors to save their jobs B. AI anchors perform much better than human news anchors at present C. AI news anchors won 't replace human news anchors in the near future D. Xin Xiao Meng 's expressions vary so naturally that they are true to life
C
Why can people speaking the same language have such different accents? The short answer: new accents begin to develop when isolated( 隔 绝 的 )groups of speakers start making nearly unnoticeable changes to the way they pronounce words.
“Accent development is the first step in language change. Fifteen hundred years ago, languages like English, Dutch and Swedish were actually all dialects of the same language, but of course then they changed overtime.” Jonathan Harrington, a linguist( 语言学家) in University of Munich, is interested in how accents first get started. But because of global communication, most communities are no longer linguistically isolated, and recording equipment didn’t exist back when more of them were.
So how to capture the early stages of accent formation today? Harrington and his team turned to members of the British Antarctic Survey, who speak with a variety of English accents. “When you are in Antarctica during the winter period, there is no way in and no way out. So they were isolated together and they had to communicate and cooperate with each other.” Harrington’s team recorded the winterers reciting a list of words before they left for Antarctica. Then, while there, the winterers recorded themselves saying the same words four more times. The linguists then analyzed the recordings.
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