Mozart was a great man born with a given talent. He was writing songs at the age of five and performing before the queen by the time he was six years old. Early on, Mozart realized what his talents were, practiced or honed what he was born to do and used his natural abilities to create amazing pieces of music. Mozart was not the first to be born with natural talents and he wasn't the last. We all have them. We only need to discover what they are and use them to the best of our abilities. You have been given amazing gifts that are meant to be shared with the world. Your job is to find out what those talents are and master them. Finding your natural talents may not be an easy task. Perhaps your parents except fewer wouldn't approve of your artistic ability to paint or sing, because they want you to be a successful doctor or lawyer. Maybe your gift wouldn't seem to have the ability to bring the kind of wealth you hope. These may be excuses; it's up to you. Have you ever noticed that when you engage in an activity in which you are naturally talented, you feel active and excited? That's a sign that these are the things you should do. Discover your brilliance in life and practice, practice, practice. Look at the world's greatest athletes. They practice what they're naturally good at, and what they love. You don't see Jordan sitting trying to study DNA. If that was something he was talented at, that's what he would be doing. But it's not. He's a brilliant athlete. He sticks to what he does best and he realizes his dream. There are only two steps to success--discover your brilliance and perfect it. We can infer from the passage that many parents want their children to _ . A) be a teacher or a lawyer B) be a singer or an artist C) earn much money as a player D) give up painting or singing
D
(Question)
In Google's vision of the future, people will be able to translate documents instantly into the world's main languages with machine logic, not expert linguists, leading the way. Google's approach, called statistical machine translation, differs from past efforts in which it does without language experts who program grammatical rules and dictionaries into computers. Instead, they feed documents humans have already translated into two languages and then rely on computers to decide patterns for future translations. Though the quality is not perfect, it is an improvement on previous efforts at machine translation, said Franz Och, 35, a German who heads Google's translation effort at its Mountain View headquarters south of San Francisco. "Some people who have been in machine translations for a long time see our Arabic-English output, and then they say, that's amazing; that's a breakthrough ." Said Och. "And then other people who have never seen what machine translation was read through the sentence and they say, the first mistake here in Line Five-it doesn't seem to work because there is a mistake there." But for some tasks, a mostly correct translation may be good enough. Speaking over lunch this week in a Google cafeteria famed for offering free, healthy food, Och showed a translation of an Arabic Web news site into easily digestible English. Two Google workers speaking Russian at a nearby table said, however, that a translation of a news site from English into their native tongue was understandable but a bit awkward. Och, who speaks German, English and some Italian, feeds hundreds of millions of words from parallel texts such as Arabic and English into the computer, using United Nations and European Union documents as key sources. Languages without considerable translated texts, such as some African languages, face greater obstacles. "The more data we feed into the system, the better it gets." said Och, who moved to the United States from Germany in 2002. The program applies statistical analysis, an approach... Statistical analysis in this passage is conducted by _ . A) hiring people who speak different languages B) counting how frequently a word is used in the language C) using the computer with its own grammatical rules D) reminding users of the likely embarrassing mistakes
(Answer)
B
Question: What's going to happen in the future? Will robots take over our planet? Will computers become smarter than us? Not likely. But here are some things that scientists say are most likely to happen 10 to 30 years later from now, according to the BBC. 1.Digital money We used to pay with cash for everything we bought. Now when we swipe our bus pass or use a credit card to shop online, money is spent without us even seeing it. In fact, we are already using one type of digital money. You have to admit that using a card is much easier than searching your pockets for change. It is also safer than carrying a lot of cash. When ATM cards were first introduced, they were not accepted everywhere. But now it's hard to live without them. People in Sweden completely stopped using cash last year, according to the Associated Press, and the US might be next. 2.Bionic eye It's no longer something only in a scifi movie. People who are blind may have a chance to get their sight back--by wearing bionic eyes. A blind eye can no longer sense light, but a bionic eye can use a camera to "see" the environment and send data directly to the brain. Although the bionic eye that's out now only allows patients to see lights and unclear shapes, a highresolution version could be just a few years away. 3.Selfdriving cars Everything is going automatic these days--washing machines, ticket selling machines and even cars. Unlike a human driver, a selfdriving car won't get _ by a phone call, the radio or something outside the window. Sensors and cameras on the car would allow it to stick strictly to the rules of the road and keep a safe distance from other cars. This would greatly reduce the number of road accidents. You could even take a nap while the car drives itself. Many vehicle companies are now planning selfdriving cars. "By 2040, driverless vehicles will be widely accepted and possibly be the dominant vehicles on the road," said Jeffrey Miller, professor at the University of Alaska Anchorage, US, in Wired magazine. Jeffrey Miller's attitude towards selfdriving cars is _ . A) optimistic B) pessimistic C) doubtful D) cautious
Answer:
A