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题型:阅读理解-阅读单选 难度:0.65 引用次数:145 题号:18486839

The world is a stage, and now men and women aren’t the only players. A Microsoft researcher’s analysis using artificial intelligence to break down Shakespeare is a great trick showing off some shiny software. But it’s also a reminder in an increasingly automated age of what exactly makes us human.

The Microsoft project uses natural language-processing techniques to map out emotions in William Shakespeare’s text. The test is designed to prompt people who already (at least sort of) understand Shakespeare to consider his works in new ways, and to help those who have trouble understanding his works, to become better in interpreting their complexity. Romeo, it reveals in colorful graphs, feels everything more keenly than his Capulet lover Juliet, despite prevailing stereotypes of stoic masculinity (斯多葛派的男子气概). King Lear tells a story of steady decline, whereas Coriolanus has highs and lows to signal its twisty narrative-driven ride.

As useful an educational tool as this system might be, the Bard’s greatest admirers may be unable to resist raising an eyebrow. Do readers really need an algorithm (算法) to tell them that Romeo is eye-rollingly mopey (无精打采) or that things go more or less right for Macbeth until they start going very wrong? Isn’t it part of the point of studying Shakespeare today that it’s overwhelming and foreign until, suddenly, it’s familiar? These objections might all be secondary to a more powerful fear: The thought that a computer can read Shakespeare just as well as we can seems to take the human out of the humanities.

Therefore, it is reassuring to learn that, advanced as machine-learning has become and as far- reaching as the implications of the technology may be, Microsoft’s tool thought that The Comedy of Errors was, well, a tragedy. That’s because the slapstick physicality in the play confused it. Algorithms have trouble distinguishing friendly teasing from cruel mockery (嘲弄), which would puzzle any computer that tried to make sense of Mercutio. Sarcasm is an ongoing computational dilemma. None of this should surprise anyone who follows social media sites losing battles against racist trolls, whose tendency to mask racism in irony makes their posts difficult to delete through the use of automated content moderation tools. In that context, algorithmic shortcomings are a burden.

Balancing the benefits more humanlike AI could bring with the risk for abuse is a tough task from a practical point of view. From a more human one, however, it can be hard not to hope the tide of technological change will roll in slowly. Those hidden meanings, mystifying relationships and even groan-worthy puns (双关) that beat machines are what make Shake-speare Shakespeare. They’re also what make us us.

1. In paragraph 2, the writer mentions Romeo, Juliet, King Lear and Coriolanus in order to ________.
A.highlight Al’s different understanding of Shakespeare
B.prove that there are various ways to understand Shakespeare
C.illustrate the complexity in understanding Shakespeare
D.show how technology may help us better understand Shakespeare
2. Why do many people object to the idea of AI reading Shakespeare?
A.Because AI can only read more familiar literary works.
B.Because reading Shakespeare is like a walk in the park.
C.Because human beings are a must in literature analysis.
D.Because computers often misinterpret how a character feels.
3. What can be inferred from the last two paragraphs?
A.It is quite uncertain whether technological change will occur.
B.We should take Al’s advantages and disadvantages into account.
C.That the Al wrongly classified The Comedy of Errors is fearsome.
D.Algorithms often fail to identify the true intentions behind human language.
4. Which of the following best serves as the title for the passage?
A.Interpretation of Shakespeare Suffers-Is There Any Fix?
B.Machines Can’t Quite Crack Shakespeare-That’ s a Relief!
C.Shakespeare No Longer Exists in Automation-Is That True?
D.AI Revitalizes Shakespeare—What an Amazing Breakthrough!
【知识点】 发明与创造 议论文

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【推荐1】As free as they make us, mobile phones still need to stay close to a power source. Soon that may change with "green" power.

Three Chilean students got the idea for a plant-powered device(装置) to charge their cellphones, while sitting in their school's outdoor courtyard during a break from exams, with dead mobile phones. Then, one of them had an "aha" moment.

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The E-Kaia doesn't carry much charge but it's powerful enough to completely recharge a mobile phone in less than two hours.

The student inventors have applied for patents on their technology, and expect the E-Kaia to go on sale in December 2016.

1. How could the students get the "green" power idea?
A.By carrying out an experiment.
B.Just from an occasional thought.
C.With the support of their professors.
D.Inspired by the information in a science book.
2. The device collects power by using ________.
A.photosynthesis
B.a small biological circuit
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3. What can we learn from what Mauricio Cifuentes said?
A.He intended to buy the patent.
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C.He showed great interest in the device.
D.He attempted to produce the device in large numbers.
4. What might be the best title for the passage?
A.A New Device to Change the World
B.Green Power - A New and Potential Source
C.Chilean Students Find A Green Way to Charge Phones
D.A New Device Invented by Chilean Students Will Be on Sale
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文章大意:这是一篇说明文。文章讲述了Veena Sahajwalla教授是2022年澳大利亚年度人物,她为我们的大规模垃圾问题创造了一个解决方案:垃圾微型工厂。

【推荐2】Professor Veena Sahajwalla, 2022 Australian of the year, has created a solution to our massive trash problem: waste microfactories. These little trash processors (处理器)-some as small as 500 square feet- house a scries of machines that recycle waste and transform it into new materials with thermal technology (热技术). The new all-in -one approach could leave our current recycling processes in the dust.

In 2018 she launched the first microfactory, establishing a model of recycling that enables businesses and communities to develop commercial opportunities while addressing local waste problems. A second one began recycling plastics in 2019. Now, her lab group is working with university and industry partners to commercialize their patented Microfactory technology. “The small scale of the machines will make it easier for them to one day operate on renewable energy, unlike most large manufacturing plants. The approach will also allow cities to recycle waste into new products on location, avoiding the long, often international, high-emission journeys between recycling processors and manufacturing plants. With a microfactory, gone are the days of needing separate facilities to collect and store materials, extract (提取) elements and produce new products,” says Sahajwalla.

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C.Updating the whole recycling process.
D.Transforming waste into similar products.
4. Where is the text probably taken from?
A.A fiction novel.
B.A business report.
C.A science magazine.
D.A chemical textbook.
2022-11-24更新 | 134次组卷
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【推荐3】While we’re busy seeing world governments and car makers try to increase the use of electric vehicles, there’s one thing of a sci-fi future that no one has quite been able to deliver on: the promise of a flying car. Now it turns out that the reality of a winged car doesn’t look as far-off as it once did, but it’s not going to be anywhere near affordable.

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