天津市西青区杨柳青第一中学2022-2023年高三上学期第一次适应性测试英语试卷(含答案).docx
《天津市西青区杨柳青第一中学2022-2023年高三上学期第一次适应性测试英语试卷(含答案).docx》由会员分享,可在线阅读,更多相关《天津市西青区杨柳青第一中学2022-2023年高三上学期第一次适应性测试英语试卷(含答案).docx(19页珍藏版)》请在淘文阁 - 分享文档赚钱的网站上搜索。
1、2022-2023学年第一学期高三年级第一次适应性测试英语学科试卷第I卷(选择题共115分)第一部分:听力理解(共两小节,满分20分) 第一节:(共5小题;每小题1分,满分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,你将有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. When will the man leave?A. On December 27th. B. On January 3nd. C. On January 27th.2. What is the man supposed to
2、 do?A. Meet the headmaster. B. Borrow some books.C.Attend a meeting.3. Why does the man like collectine postcards?A. There are unique pictures on them.B. It doesnt cost him so much.C.He can get information form them4. What do we know about the man?A. He lives in Paris now. B. He once lived in Paris.
3、 C.He will visit Paris soon.5. Where did the speakers spend their vacation?A.At the seaside.B. In the mountains. C.On the farm.第二节(共10小题;每小题1.5分,满分15分)听下面几段材料。每段材料后有几个小题,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。听每段材料前,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。每段材料读两遍。听下面一段对话,回答第6至第8小题。6. How does the woman k
4、now the products?A. She received the catalog. B. She watched the ad on TV. C. She heard about it by chance.7. What does the electronic dictionary contain?A. Four dictionaries and two encyclopedias.8. Five dictionaries and one encyclopedia9. In Paragraph 4.D. In Paragraph 5.48. The frilled shark got
5、its name because of.A. the place where it was foundB. the place where it was bornC. its appearanceD. its character49. How do scientists know the frilled shark is a predator?A. From its behavior.B. From its habitat.C. From its teeth.D. From its gills.50. What is the authors attitude to solving the my
6、stery of the frilled shark?A. Doubtful.B. Cautious.C. Disapproving.D. Optimistic.DAristotle thought the face was a window onto a persons mind. Cicero agreed. Two thousand years passed, and facial expressions are still commonly thought to be a universally valid way to judge other peoples feelings, ir
7、respective of age, sex and culture. A raised eyebrow suggests confusion. A smile indicates happiness.Or do they? An analysis of hundreds of research papers that examined the relationship between facial expressions and underlying (潜在的)emotions has uncovered a surprising conclusion: there is no good s
8、cientific evidence to suggest that there are such things as recognizable facial expressions for basic emotions which are universal across cultures. Just because a person is not smiling, the researchers found, does not mean that person is unhappy.This may raise questions about the efforts of informat
9、ion-technology companies to develop artificial- intelligence algorithms (算法)which can recognize facial expressions and work out a persons underlying emotional state. Microsoft, fbr example, claims its Emotion API is able to detect what people are feeling by examining video footage of them. Another o
10、f the studys authors, however, expressed scepticism. Aleix Martinez, a computer engineer at Ohio State University, said that companies attempting to obtain emotions from images of faces have failed to understand the importance of context.For a start, facial expression is but one of a number of non-v
11、erbal ways, such as body posture, that people use to communicate with each other. Machine recognition of emotion needs to take account of these as well. But context can reach further than that. Dr Martinez mentioned an experiment in which participants were shown a close-up picture of a mans face, wh
12、ich was bright red with his mouth open in a scream. Based on this alone, most participants said the man was extremely angry. Then the whole picture was shown. It was a football player with his arms outstretched, celebrating a goal. His angry-looking face was, in fact, a show of pure joy.Given that p
13、eople cannot guess each others emotional states most of the time, Dr Martinez sees no reason computers would be able to. There are companies right now claiming to be able to do that and apply this to places I find really scary and dangerous, fbr example, in hiring people J he says. Some companies re
14、quire you to present a video resume, which is analyzed by a machine-learning system. And depending on your facial expressions, they hire you or not, which I find really shocking.51. We can learn from the second paragraph that.A. facial expressions are universal across culturesB. it is hard to recogn
15、ize some facial expressionsC. emotions and facial expressions may not be relatedD. common facial expressions convey similar meanings52. In the passage, the word “scepticism” (paragraph 3) is closest in meaning to “A. great doubtB. similar interestC. fierce angerD. strong support53. The experiment me
16、ntioned by Dr Martinez may prove that.A. facial expression is an important way to communicateB. machine recognition of emotion is not reliable at allC. facial expression is not the only way to detect feelingsD. people may misread facial expressions for lack of context54. According to the text, which
17、 of the following statements is correct?A. Facial expressions differ from person to person.B. People with red face must be feeling extremely angry.C. Artificial-intelligence algorithms can always work out a persons inner emotional state.D. Unbelievable to Dr Martinez is that job offers are decided b
18、y a machine-learning system.55. What does this passage mainly tell us?A. Facial expressions are among the most universal forms of body language.B. Computers can detect peoples mind by analyzing their facial expressions.C. Facial expressions may not be the reliable reflection of a persons emotions.D.
19、 Companies can depend on machine recognition of emotion to hire people.第n卷(非选择题共35分)第三部分:写作(共两节;满分35分)第一节:阅读表达(共5小题;每小题2分,满分10分)阅读表达Last summer, Katie Steller pulled off the freeway on her way to work. She stopped at a traffic light, where a man was sitting with a sign asking for help. She rolled do
20、wn her window.“Hey! she shouted. Im driving around giving free haircuts. Do you want one right now?” Actually,“ the man said, “I was really hoping to get a haircut.”Ill be right back,“ Steller said. She drove off, went to the salon she owns, and asked one of her stylists to help her load a red chair
21、 into her car. Then the two of them drove back, and trimmed (修剪)the mans curly grey hair. He told them about growing up in Mississippi, about moving to be closer to his adult children, and how he still talks to his mom every day. After Steller was done, the man looked in a mirror. I look good!, he s
22、aid.So far, Steller has given about 30 such haircuts to people around the city. And she is keenly aware of the power of her cleanup job.“Its more than a haircut/9 she says. “I want it to be a gateway, to show value and respect, but also to get to know people and build relationships. Steller knows th
23、at a haircut can change a life. Part of what broke my heart was just how lonely people looked she says. I thought maybe Id go around and ask if people want free haircuts. I cant fix their problems, but maybe I can help them feel less alone for a moment.”Steller listens to peoples stories of loss, ad
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