When does the train leave?
A.At 8:30. B.At 9:00. C.At 8:00.
假设你是李津，在校园网上看到了某国际教育交流中心在天津征集寄宿家庭（host family）的广告，你非常感兴趣。请你用英文给负责人 Mr. Smith 写一封申请信，内容包括：
（1）自我介绍；
（2）家庭寄宿条件及周边交通状况；
（3）其他优势。
注意:1. 词数不少于100.
2. 可以适当增加细节，以使行文连贯；
3. 格式已给出，但不计入总词数。
Dear Mr. Smith,
__________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________
Yours sincerely,
Li Jin
假定英语课上老师要求同桌之间交换修改作文，请你修改你同桌写的以下作文。文中共有10处语言错误，每句中最多有两处。每处错误仅涉及一个单词的增加、删除或修改。
增加：在缺词处加一个漏字符号（∧），并在其下面写出该加的词。
删除：把多余的词用斜线（＼）划掉。
修改：在错的词下划一横线，并在该词下面写出修改后的词。
注意：1. 每处错误及其修改均仅限一词；2. 只允许修改10处，多者（从第11处起）不计分。
My hobby is rock climbing. I’ve been doing them for two years. In the beginning, I wasn’t very good, so I’ve gotten much better. I started rock climbing in junior high school. On first day, I felt high nervous, so I only climbed low rocks. It was hard, but very interested. So I kept on work, and now I could climb very fast. I like rock climbing because of it helps me stay in shape. It’s also a good way to make friend. I’ve met a lot of people. We climb, but we also hang out and spend time doing another things now.
Directions: After trading 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 Jits each blank.
Marian Bechtel sits at West Palm Beach's Bar Louie counter by herself, quietly reading her e-book as she waits for her salad. What is she reading? None of your business! Lunch is Bechtel's "me" time. And 1. more Americans, she's not alone.
A new report found 46 percent of meals are eaten alone in America. More than half (53%) have breakfast alone and nearly half (46%) have lunch by themselves. Only at dinnertime 2. we eating together, 74%, according to statistics from the report.
"I prefer to go out and be out. Alone, but together, you know?” Bechtel said, 3. (look) up from her book. Bechtel, who works in downtown West Palm Beach, has lunch with coworkers sometimes, but like many of us, too often 4. (work) through lunch at her desk. A lunchtime escape allows her to keep a boss from tapping her on 5. shoulder. She returns to work feeling energized. "Today, I just wanted some time to myself,” she said.
Just two seats over, Andrew Mazoleny, a local videographer, is finishing his lunch at the bar. He likes that he can sit and check his phone in peace or chat up the barkeeper with whom he's on a first-name basis 6. he wants to have a little interaction. “I reflect on 7. my day's gone and think about the rest of the week," he said. "It's a chance for self-reflection. You return to work 8. (refresh) and with a plan.''
That freedom 9. (choose) is one reason more people like to eat alone. There was a time when people may have felt awkward about asking for a table for one, but those days are over. Now, we have our smartphones to keep us company at the table. "It doesn't feel as alone as it may have before all the advances in technology," said Laurie Demeritt, 10. company provided the statistics for the report.
The snow was falling and the roads had become dangerous. The schools were dismissed early, but much to my surprise, my ____ wasn’t canceled. So I went, feeling especially heroic. As far as I could see, I was risking my life to keep my ____. Snow or no snow, I would be on time for my scheduled donation at the local ____ center.
When I got there, I discovered I wasn’t _____. Four more “hero-types” were already lying back in donor chairs with lines ____ to their veins, and machines quietly pumping away to ______ their lifesaving gifts.
Seeing my fellow donors honoring their own commitments, I realized why I was there. I lay back in my donor chair, ready to make a difference in the life of someone I would never _____.
To be honest, I’d never really thought about why I donate. I just do it. But a few months ago, during one of my ____ donations I learned that my blood was specifically for a cancer patient and for a newborn baby—both patients needed what I would give in order to live. I’ve viewed my visits to the blood center _____ ever since.
My wife Karen is a _____, too. And more importantly, she has been on the bone marrow (骨髄) list for fifteen years, ever since she signed up to provide bone marrow to a kindergartner with leukemia (白血病). That little girl died before Karen’s bone marrow could help her, ____ Karen was called again recently. Her test results were still on file, and it turned out she was a potential ____ for someone else. The caller asked Karen if she would still be willing to become a bone marrow donor. “Yes,” she said and then immediately began answering questions on the pages of paperwork for further testing. It was a race ____ time.
I wish I could say that this ____ was won. It wasn’t. The caller later thanked Karen for her participation and asked a few more questions—including whether or not she’d ____ on the donor list. “Of course,” Karen answered.
Last week Karen gave blood and next week I’ll make my usual donation. I’ll ____ an afternoon from my schedule and make an appointment. I don’t know whose life my donation may ____. Most likely it will be a ____, but on any day the person needing a blood product could be you or me or maybe a loved one. It is worthwhile to ___ our time to donate.
I really do feel _____ every time I donate. And I like the feeling.
1.A.appointment B.class C.meeting D.flight
2.A.secret B.balance C.shape D.word
3.A.service B.shopping C.blood D.care
4.A.alone B.welcome C.late D.lucky
5.A.exposed B.attached C.applied D.added
6.A.examine B.produce C.collect D.clean
7.A.meet B.forget C.miss D.recognize
8.A.regular B.unexpected C.special D.pleasant
9.A.wisely B.differently C.hesitantly D.carefully
10.A.receiver B.doctor C.patient D.donor
11.A.or B.but C.and D.for
12.A.risk B.customer C.match D.partner
13.A.beyond B.with C.against D.of
14.A.honor B.test C.prize D.race
15.A.rank B.sign C.appear D.remain
16.A.clear B.separate C.lose D.remove
17.A.touch B.affect C.create D.enrich
18.A.child B.stranger C.hero D.friend
19.A.spend B.save C.kill D.take
20.A.empty B.grateful C.proud D.nervous
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 analyze 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.
Yet we need a thorough knowledge of deep learning 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 for the AI to learn and read. The process for imitating facial movements is similar. The developer has to analyze the movements of the 53 muscles in the human face, make a model set from the collected data for the AI news anchor to learn, 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.
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 stars. D.They could interact with audience.
3.From the last paragraph, we can draw a conclusion that .
A.human news anchors should learn from AI 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
