[A] abolish [B] accelerate [C] ambiguity [D] bring [E] dispense

[F] evidence [G] expenditure [H] inquiry [I] irrational [J] lead

[K] outpace [L] shift [M] simply [N] striking [O] unanimously

For the past four decades, the basic tension between artificial intelligence and intelligence augmentation (增加)—A.I. versus I.A.—has been at the heart of progress in computing science as the field has produced a series of ever more powerful technologies.

Now, as the pace of technological change continues to【C1】_____, it has become increasingly possible to design computing systems that enhance the human experience, or now—in a growing number of cases—completely 【C2】_____with it.

Watson is an effort by IBM researchers to advance a set of techniques used to process human language. It provides【C3】_____evidence that computing systems will no longer be limited to responding to simple commands. Machines will increasingly be able to pick out jargon (行话) and even riddles. In attacking the problem of the【C4】__of human language, computer science is now closing in on what researchers refer to as the “Paris Hilton problem”—the ability, for example, to determine whether an【C5】__is being made by someone who is trying to reserve a hotel in France, or【C6】_____to pass the time surfing the Internet.

Traditionally, economists have argued that while new forms of automation may displace jobs in the short run, over longer periods of time economic growth and job creation have continued to【C7】_____any job-killing technology. Over the past century and a half the【C8】__from being a largely agrarian (农业的) society to one in which less than 1 percent of the United States labor force is in agriculture is frequently cited as【C9】_____of the economy’s ability to reinvent itself.

Rapid progress in natural language processing is beginning to【C10】________to a new wave of automation that promises to transform areas of the economy that have until now been untouched by technological change.

【C6】