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| 共计 3 道试题
2020·全国·模拟预测
书信写作-申请信 | 困难(0.15) |
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1 . 假定你是李华,暑期在伦敦学习,得知当地的美术馆要举办中国画展。请写一封申请做志愿者,内容包括:
1. 写信目的;2. 个人优势;3. 能做的事情。
注意 1. 词数80左右;
2. 可以适当增加细节,以使行文连贯;
Dear Sir,
_______________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________

Yours,

Li Hua

书信写作-告知信 | 困难(0.15) |
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2 . 假定你是学生会主席李华,你校要举办首届英语艺术节(English Art Festival),请你用英语给师生写一封信,刊登在校报英文版上。信的内容主要包括:
1. 举办时间和地点;
2. 艺术节内容,如英语歌唱比赛、戏剧表演、讲座等等;
3. 举办英语节的意义。
注意:
1.词数 100 左右;
2.可以适当增加细节,以使行文连贯。
Dear Teachers and schoolmates,
_________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________

Yours,

Li Hua

2023-03-07更新 | 46次组卷 | 1卷引用:重庆市荣昌永荣中学校2021-2022学年高二上学期期中考试英语试题
阅读理解-阅读单选(约370词) | 困难(0.15) |
名校

3 .

News anchors(主播) must have been reluctant to read out the following news: Xin Xiaomeng 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 Al news anchor reads, the micro -electric motors behind her face move to make her expressions seem more human.

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 Al 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 expressions vary according to the content of the news report. In fact, Xins 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.

1. What does the underlined word "reluctant "in the first paragraph mean?
A.Delighted.B.Unwilling.C.Confused.D.Optimistic.
2. What can we infer about previous news robots?
A.They read news without expressions.B.They looked like a human being
C.They could interview sports starsD.They could interact with audience.
3. What do we know about the third technology?
A.This technology is very perfect so far
B.This technology is quite popular now
C.This technology remains at the theoretical stage
D.This technology is far from mature.
4. From the last paragraph, we can draw a conclusion that____.
A.human news anchors should learn from AT anchors to save their jobs
B.Al anchors perform much better than human news anchors at present
C.Al news anchors won 't replace human news anchors in the near future
D.Xin Xiaomeng s expressions vary so naturally that they are true to life
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