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职称英语
A. approaching B. distinguish C. patterns D. collect
A. approaching B. distinguish C. patterns D. collect
游客
2024-08-30
9
管理
问题
A. approaching B. distinguish C. patterns D. collect E. grasp
F. managed G. identical H. remembered I. exceeding J. suggested
K. failed L. property M. skill N. surprising O. appeal
"Of all the gin joints in all the towns in all the world, she walks into mine." It’s a classic quote from the film Casablanca, but can a computer【C1】________ the magic of such classic lines?
Cristian Danescu-Niculescu-Mizil and colleagues at Cornell University have taught a computer to identify classic quotes with an accuracy【C2】________ that of mankind. It means computers might one day help film writers test their latest classic lines.
The Cornell team collected quotes from the Internet Movie Database, which contains a list of lines flagged by users as deserving to be【C3】________. The context in which a line is uttered can make a quote more notable, so as a control, the team paired each classic quote with an ordinary one from the【C4】________ context. It was the same length and spoken by the same character at around the same point in the film. The computer analysed the pairs of quotes—around 2,200 in total—for language【C5】________. unusual words, and word combinations. The computer【C6】________ to recognize several characteristics peculiar to the classic quotes, creating a model that could help find them. "The phrases contain【C7】________ combinations of words, but at the same time they have a sentence structure that is common, so they are easy to use," says Danescu-Niculescu-Mizil. The analysis also showed that classic lines often have a(n)【C8】________ : they can be widely used because they don’t contain words that tie them to a specific context. The model was able to【C9】________ between classic and ordinary quotes with 64 percent accuracy. Humans scored 78 percent. The team【C10】________ that political candidates could use the model to assess their slogans. [br] 【C2】
选项
答案
A
解析
空格应填入现在分词,作后置定语,修饰accuracy。that指代的是前文的accuracy,从下文可知,计算机识别经典台词的精度不如人类,故推断此处研究者是让计算机识别台词的精度“接近”人类的精度,词库中的approaching“接近”符合要求。从下文可判断,计算机并没有超过人类的准确度,故不选I。
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