A.differences B.privileged C.exploring D.account E.amazement F.research G.strongly H.unthinkable I.separately J.recognize K.education |
Perri Klass and her mother, Sheil a Solomon Klass, both gifted professional writers, prove to be ideal co-writers as they examine their decades of motherhood, daughterhood, and the wonderful ways their lives have overlapped(重叠).
Perri notes with
A child of the Depression(大萧条), Sheil a was raised in Brooklyn by parents who considered
Each writing in her own unmistakable voice, Perri and Sheil a take turns
Looking deep into the lives they have lived
Today’s stars are at the center of much of the world’s attention. Paparazzi (狗仔队) camp outside their homes, cameras ready. Tabloids (小报) publishing stories about their personal lives. Although being famous might sound like a dream come true, they, feeling like zoo animals, face pressures that few of us
The phenomenon of tracking celebrities
Being a public figure today, however, is a lot
3 . Many early approaches to language technology—and particularly translation—got stuck in a conceptual dead end: the rules-based approach. In translation, this meant trying to write rules to analyze the text of a sentence in the language of origin, breaking it down into a sort of abstract “interlanguage” and rebuilding it according to the rules of the target language. These approaches showed early promise. But language is full of ambiguities (歧义) and exceptions, so such systems were hugely complicated and easily broke down when tested on sentences beyond the simple set they had been designed for.
Nearly all language technologies began to get a lot better with the application of statistical methods, often called a “brute force” approach. This relies on software scanning vast amounts of data, looking for patterns and learning from precedent. For example, in parsing language (breaking it down into its grammatical components), the software learns from large bodies of text that have already been parsed by humans. It uses what it has learned to make its best guess about a previously unseen text. In machine translation, the software scans millions of words already translated by humans, again looking for patterns. In speech recognition, the software learns from a body of recordings and the transcriptions made by humans.
Thanks to the growing power of processors, falling prices for data storage and, most crucially, the explosion in available data, this approach eventually bore fruit. Mathematical techniques that had been known for decades came into their own, and big companies with access to enormous amounts of data were ready to benefit.
The final advance, which began only about five years ago, came with the arrival of deep learning through digital neural networks (DNNs). These are often claimed to have qualities similar to those of the human brain: “neurons” are connected in software, and connections can become stronger or weaker in the process of learning. But Nils Lenke, head of research for a language technology company, explains matter-of-factly that “DNNs are just another kind of mathematical model,” the basis of which had been well understood for decades. What changed was the hardware being used.
Almost by chance, DNN researchers discovered that the graphical processing units (GPUs) used to produce graphics in applications like video games were also brilliant at handling neural networks. The technique has already produced big leaps in quality for all kinds of deep learning, including decoding handwriting, recognizing faces and classifying images. Now they are helping to improve all manner of language technologies, often bringing enhancements of up to 30%. That has shifted language technology from usable at a pinch to really rather good. But so far no one has quite worked out what will move it on from merely good to reliably great.
1. According to the passage, which of the following is a problem of the rules-based approach?A.Rules are difficult to identify in some languages. |
B.It is impossible to find all the rules in a language. |
C.The rules are often misinterpreted by researchers. |
D.There are always rules too abstract to understand. |
A.The increasing amount of data |
B.The falling prices of scanning software |
C.The availability of recordings and transcripts |
D.The wider knowledge people have of language |
A.They are a big breakthrough. | B.They depend more on hardware. |
C.They are not innovative in nature. | D.They haven’t been scientifically proved. |
A.They are inferior to DNNs in their quality of deep learning. |
B.They have made language technology reliably greater than ever. |
C.They have achieved limited success regarding language technology. |
D.They help enhance language technologies by means of image classification. |
A. disapproved B. negative C. national D. appreciation E. socially F. tendency G. approach H. fitted I. enhanced J. unpopular K. namely |
What are the things that first come to your mind when you think of the UK? Are they nonstop rain, polite manners, boring food and tea drinking?
Some of the UK’s
The research polled 1, 402 foreigners living in the UK on their opinions about the British way of life. Unsurprisingly, the majority of them, almost 70 percent, said they enjoyed living in the country—good manners, especially UK people’s extraordinary ability to queue, are the main reasons for foreigners’
However, there are aspects of British culture that are
It may not be too hard to understand why heavy drinking and bad weather are
British humor is known for being dry and satirical (讽刺的), so it is generally more
“The majority of nationalities have stereotypes
5 . “Changing the world” might seem like an unrealistic goal. When faced with huge problems such as air pollution or energy shortages, where do you start? Gogoro believes you start with a scooter.
Proof of concept In 2015, Gogoro broke onto the scene by releasing an electric scooter called the Smart-scooter. Unlike most electric scooters. This one wouldn’t need to plugged in to recharge. Instead, users would stop by GoStations to exchange drained batteries for fully charged ones. Gogoro was taking a risk. If people were not happy with the system of changing batteries the whole project could fail. They didn’t need to worry, though. Only one year later Gogoro sold their 10,000th Smart-scooter! |
Setting the bar Fast forward to 2019 and the release of the Series 3 Smart-scooter. Gogoro scooters are as popular and revolutionary as ever. Their bright colors are chosen by Beatrice Santiccioli, a famous color designer who helped shape major brands like Apple, Nike and Swatch. In addition to the scooters’ bright colors, plenty of cool accessories (配件) are available so you can make your scooter your own. But most important of all, Gogoro continues to pave the way toward a future of responsible energy consumption. |
Looking forward Multiple cities and countries have committed to making their transportation all-electric in the coming years, and Gogoro is helping make the possible. Ordered a package? Companies like DHL and Taiwan Post now have fleets of Smart-scooters to make deliveries. Need a ride? Unlock a Gogoro in Berlin, Paris or Madrid, thanks to scooter sharing services. The Smart-scooters is definitely ingenious, but there’s more. “At Gogoro, I think the essential thing is that we want to change how people use energy. And the Smart-scooters is only the beginning.” says Horace Luke, Gogoro co-founder and CEO. This is where the GoStation comes in. |
A.can recharge itself in Gostations in mega-cities |
B.only needs to change batteries in Gostations |
C.wouldn’t need to be recharged at all in life |
D.can be recharged by its users in Gostations |
A.their colors are chosen by a famous color designer |
B.their colors are different from those of others |
C.it is a good way for people to consume energy |
D.it can help us solve the problem of energy short |
A.The more mega-cities there are, the more GoStations may appear. |
B.GoStations will soon entirely take the place of traditional stations. |
C.People need not go to GoStations especially during peak hours. |
D.More mega-cities will appear throughout the world in the future. |
A. brush B. draw C. state D. cautionary E. report F. run G. packed H. shot I. introduced J. phenomenon K. exceptional |
Rongjiang county, tucked away in the rainy hills of south-west China, has little going for it at first glance. The grey tiles covering houses in the county sea give it a rather drab feel. Locals often have to find work elsewhere, travelling to distant factories and construction sites.
Yet this summer it was Chinese from far-off cities who flocked to Rongjiang. They came to watch an amateur football league involving 20 of the county’s villages. It started in May and quickly became a
There are many reasons behind the popularity of the Rongjiang league, which is men only. Start with the
The Rongjiang league, by contrast, has an authentic, even wholesome feel. Football in the county dates back to the 1940s, when it was
The league’s cultural diversity is another
To the delight of officials at all levels, the league appears to have stimulated the local economy. During the Dragon Boat festival in June tourism spending
But there are concerns that the success of Rongjiang may be fleeting. Attracting crowds to this part of China is not easy. The city of Zibo, in the northern province of Shandong, provides a
Still, officials think they have found a winning strategy for the countryside. A new football league began this month and will
7 . When you’re shopping at the grocery store, you probably expect that olive oil you see came from olives, and that the organic vegetables were never exposed to poisonous chemicals. Increasingly, however, there is a chance you might be
How can this
Governments are starting
But in order to
A.lucky | B.wrong | C.curious | D.illegal |
A.mislead | B.astonish | C.misunderstand | D.assemble |
A.booms | B.examples | C.recoveries | D.trends |
A.cease | B.last | C.happen | D.progress |
A.reveal | B.follow | C.enforce | D.forget |
A.agree with | B.respond to | C.substitute for | D.focus on |
A.longer | B.riskier | C.more stable | D.more selective |
A.hold on to | B.look down on | C.get away with | D.make up for |
A.take off | B.keep up | C.set aside | D.fight back |
A.attempts | B.reports | C.nutrients | D.products |
A.prevent | B.cover | C.suspect | D.charge |
A.affecting | B.inspecting | C.combining | D.supporting |
A.symbolically | B.specifically | C.respectively | D.resourcefully |
A.institutions | B.consumers | C.criminals | D.sponsors |
A.target | B.issue | C.choice | D.technique |
A. available B. carried C. exploring D. introduced E. management F. nasty G. packed H. quality I. reduction J. signal K. visit |
After-school tutoring to change course under new regulations
Zhong Kaitong, a fourth-grade pupil at a primary school in Guangzhou, enjoys a much more energetic summer vacation this year. Instead of English or mathematics courses she used to attend, her vacation is
Chinese authorities have in recent months
Last month, central authorities
A(n)
Some tutoring institutions are actively seeking transformation under the new guidelines. A manager in charge of one major tutoring company says 70 percent of their business has been affected, and that they are
All these moves have sent a very clear
9 . Please stop ruining children’s summer camp
Teslie Conrad is the director of Clemson Outdoor Lab in South Carolina, which runs several different youth summer camps. Clemson
This makes sense. We traditionally think of summer camps as a place where we get to swim in a lake, camp under the stars and make new
Researchers say that campers develop invaluable social skills, while facing risks and working their way through their feelings of homesickness — all
The people who have the
Barry Garst studies youth development at Clemson University. He said that whether you call them “helicopter”, “snowmobile” or “lawnmower” parents, over-involved parenting is having a negative overall effect and is
Meg Barthel, the lead girls’ counselor at camp Echo, carries a device with access to Wi-Fi around camp. “I have to
Some camps address parents’
Research on over-parenting, says Garst, shows that when parents behave this way, the development of a child’s sense of
A.bans | B.produces | C.searches | D.provides |
A.want | B.limit | C.enable | D.improve |
A.friends | B.decisions | C.investments | D.mistakes |
A.on purpose | B.in agreement | C.by themselves | D.with excitement |
A.use | B.uninstall | C.forget | D.miss |
A.first | B.hardest | C.shortest | D.greatest |
A.finding | B.attending | C.ruining | D.setting up |
A.comments | B.reports | C.studies | D.focus |
A.respond to | B.chat with | C.seek out | D.argue against |
A.problems | B.parents | C.messages | D.lessons |
A.plan | B.wait | C.pause | D.thirst |
A.magical | B.opposite | C.protective | D.similar |
A.website | B.campsite | C.phone | D.list |
A.self-awareness | B.knowledge | C.independence | D.intelligence |
A.make friends | B.ask questions | C.make plans | D.solve problems |
10 . In modern cities, it is now time as much as space that separates urban functions, as people’s lives are lived not only to different timetables, but also at wildly different rates. The mass timetable of the industrial city, with 9-5 office hours and silent Sundays, has gone. In its
European cities are
In a number of German cities, people have been
The
Time is flexible, but buildings aren’t. The
A.report | B.side | C.place | D.way |
A.sticking to | B.responding to | C.objecting to | D.turning to |
A.for example | B.on the other hand | C.by contrast | D.in the meanwhile |
A.alter | B.discuss | C.understand | D.balance |
A.spared | B.harmonized | C.directed | D.appreciated |
A.method | B.issue | C.benefit | D.excuse |
A.debating | B.asking | C.doubting | D.revealing |
A.four | B.six | C.seven | D.nine |
A.need | B.ambition | C.pity | D.reason |
A.Above all | B.On the contrary | C.After all | D.By all means |
A.night | B.day | C.city | D.area |
A.difference | B.mismatch | C.communication | D.relationship |
A.Regulation | B.Availability | C.Adaptability | D.Observation |
A.varying | B.coming | C.accepting | D.abandoning |
A.presented | B.proved | C.established | D.challenged |