题目内容

【题目】________ the students in our school go to college in their teens.

A.A good many B.A great many of

C.A great deal of D.A lot of

【答案】B

【解析】

试题分析: 考查形容词用法。A great many修饰可数名词复数形式;a great deal of修饰不可数名词;a lot of既可以修饰可数名词复数也可以修饰不可数名词。A great many of项的of后面一定要接the表示“…范围之内的很多…”句意:我们学校中的很多学生在10几岁的时候就上大学了。故B正确。

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【题目】

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.

1What does the underlined word "reluctant "in the first paragraph mean?

A. Delighted.B. Unwilling.C. Confused.D. Optimistic.

2What 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.

3What 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.

4From 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

【题目】 The okapi is a mammal living above the equator in one of the most biodiverse areas in central Africa. The animal was unknown to the western world until the beginning of the 20th century, and is often described as half-zebra, half-giraffe, as if it were a mixed-breed creature from a Greek legend. Yes its image is prevalent in the Democratic Republic of Congo-the only country in the world where it is found living in the world. The okapi is to Congo what the giant panda is to China or the kangaroo to Australia.

Although the okapi has striped markings resembling those of zebras’, it is most closely related to the giraffe. It has a long neck, and large, flexible ears. The face and throat are greyish white. The coat is a chocolate to reddish brown, much in contrast with the white horizontal stripes and rings on the legs and white ankles. Overall, the okapi can be easily distinguished form its nearest relative. It is much smaller (about the size of a horse) and shares more external similarities with the deer than with the giraffe. While both sexes possess horns in the giraffe, only males bear horns in the okapi.

The West got its first whiff of the okapi in 1890 when Welsh Journalist Henry Morton Stanley had puzzled over a strange “African donkey” in his book. Other Europeans in Africa had also heard of an animal that they came to call the “African unicorn.” Explorers may have seen the fleeting view of the striped backside as the animal fled through the bushes, leading to speculation that the okapi was some sort of rainforest zebra. Some even believed that the okapi was a new species of zebra. It was only later, when okapi skeleton was analyzed, that naturalists realized they had a giraffe on their hands.

In 1987, the Okapi Wildlife Reserve was established in eastern Congo to protect this rare mammal. But decades of political turbulence has seen much of the Congo’s natural resources spin out of the government’s control, and okapi numbers have fallen by 50 percent since 1995. Today, only 10,000 remain.

1Which of the following is a picture of an okapi?

A.B.

C.D.

2Which of the following descriptions is true about the okapi?

A.It is an important symbol of Congo.

B.It has been well protected since 1987.

C.It is a mystical creature from a Greek legend

D.It is more closely related to the zebra than the giraffe.

3What does the underlined word“whiff”most likely mean in Paragraph 3?

A.Firm belief.B.Kind intention.

C.Strong dislike.D.Slight trace.

4What can be inferred about Henry Morton Stanley?

A.He was the first Europeans to analyze okapi skeleton.

B.He had found many new species of animals in Africa.

C.He did not know the“African donkey"in his book was the okapi.

D.He had seen the backside of an okapi dashing through the bushes.

【题目】Directions: Fill in each blank with a proper word chosen from the box. Each word can be used only once. Note that there is one word more than you need.

For several decades, various types of artificial intelligence kept shocking the world. Robots could 1 people in highly competitive games and then quickly destroyed their human competitors.

AI long ago mastered chess, the Chinese board game Go and even the Rubik's cube, which it managed to solve in just 0.38 second.

Now machines have a new game that will allow them to 2 humans: Jenga, the popular game in which players 3remove pieces from an increasingly unstable tower of 54 blocks, placing each one on top until the entire structure would 4.

A newly released video from MIT shows a robot developed by the school's engineers playing the game with surprising accuracy. The machine is equipped with a soft gripper(夹子), a force-sensing wrist and an external camera, allowing the robot to detect the tower’s 5 the way a human might do

Unlike in purely recognitive tasks or games such as chess or Go, playing the game of Jenga also requires mastery of physical acts such as pushing, pulling, placing, and arranging pieces. It must 6 interactive physical operation, where you have to touch the tower to learn how and when to move blocks.

Imitating it is rather difficult, so the robot has to learn in the real world, by working with the real Jenga tower. Recently, a relevant research was published in the journal Science Robotics. Researchers say the robot demonstrates that machines can learn how to perform certain tasks through actual touching instead of relying heavily on visual 7. That physical 8 is significant, researchers say, because it provides further proof that robots can be used to perform 9 tasks, such as separating recyclable objects from landfill trash and assembling consumer products.

In a cellphone assembly line, the felling of any component is coming from force and touch rather than vision. To become an accomplished Jenga player, the robot did not require as much repetitive practice as you might imagine. Hoping to avoid reconstructing a Jenga tower thousands of times, researchers developed a method that allowed the robot to be trained on about 300 games. Researchers say the robot has already begun facing off against humans, who remain 10 playersfor now.

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