[外语类试卷]专业英语四级（完形填空）模拟试卷102（无答案）.doc

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1、专业英语四级（完形填空）模拟试卷 102（无答案）一、PART III CLOZE (15 MIN)Directions: There are 20 blanks in the following passage. Decide which of the choices given below would best complete the passage if inserted in the corresponding blanks. 0 How does literary style evolve? Surprisingly,(1)_ lie in words with seemingly

2、 little meaning, such as “to“ and “that“.By analysing(2)_ writers use such “content-free“ words, Daniel Rockmore and colleagues at Dartmouth College in Hanover were able to conduct the first, large-scale style analysis of literature.Content-free words are(3)_ of writing style, Rockmore says. While t

3、wo authors might use the(4)_ content words to describe a similar event, they will use content-free words to(5)_ their content words in a different way.Using the Project Gutenberg digital library, Rockmores team analysed 7733 English language works written since 1550,(6)_ how often and in what(7)_ co

4、ntent-free words appeared. As you might expect, they found that writers were(8)_ influenced by their predecessors.They also found that as the number of literature works grew, the influence of older works (9)_. Authors in the(10)_ periods wrote in a very similar way to one another, the researchers fo

5、und, probably because they all read the same(11)_ body of literature. But approaching the modern era,(12)_ more people were writing and more works were(13)_ from many eras and numerous styles, authors styles were still very similar to those of their(14)_ contemporaries. “Its as if they find dialects

6、 in time,“ says Alex Bentley. “ Content is what makes us(15)_, but content-free words put us in different(16)_.“(17)_ writers should be most influenced by their contemporaries(18)_ the great works of the past is interesting, Rockmore says, because it challenges the(19)_ of “classic“ literature. When

7、 it comes to style(20)_, perhaps we arent so strongly influenced by the classics after all.1 (1)（A）proofs（B） clues（C） data（D）signs2 (2)（A）where（B） why（C） which（D）how3 (3)（A）lacking（B） indicative（C） free（D）representative4 (4)（A）particular（B） same（C） original（D）sole5 (5)（A）replace（B） introduce（C） link

8、（D）reflect6 (6)（A）tracking（B） defining（C） explaining（D）specifying7 (7)（A）format（B） order（C） context（D）amount8 (8)（A）weakly（B） slightly（C） barely（D）strongly9 (9)（A）continued（B） shrank（C） disappeared（D）increased10 (10)（A）latest（B） present（C） earliest（D）best11 (11)（A）small（B） entire（C） extensive（D）dive

9、rse12 (12)（A）because（B） when（C） unless（D）if13 (13)（A）distinct（B） separate（C） available（D）forthcoming14 (14)（A）famous（B） international（C） young（D）immediate15 (15)（A）unique（B） respectable（C） noticeable（D）successful16 (16)（A）moods（B） directions（C） groups（D）situations17 (17)（A）That（B） Since（C） What（D）As

10、18 (18)（A）except for（B） rather than（C） as well as（D）other than19 (19)（A）appeal（B） quality（C） essence（D）reach20 (20)（A）at least（B） at large（C） at best（D）at random20 “Of all the gin joints in all the towns in all the world, she walks into mine.“ Its a classic quote from the film Casablanca, but can a

11、computer(1)_ the magic of such classic lines?Cristian Danescu-Niculescu-Mizil and colleagues at Cornell University have taught a computer to (2)_ classic quotes with an accuracy(3)_ that of mankind. It means computers might one day help film(4)_ test their latest classic lines.The Cornell team colle

12、cted quotes from the Internet Movie Database, which contains a list of lines flagged by users as deserving to be(5)_. The context(6)_ a line is uttered can make a quote more notable,(7)_ as a control, the team paired each classic quote with an ordinary one from the(8)_ context. It was the same (9)_

13、and spoken by the same character at around the same point in the film.The computer analysed the pairs of quotes around 2200 in totalfor language(10)_, unusual words, and word combinations.The computer(11)_ to recognize several characteristics(12)_ to the classic quotes, creating a model that could h

14、elp find them. “The phrases contain(13)_ combinations of words, but at the same time they have a sentence structure that is common, so they are(14)_ to use,“ says Danescu-Niculescu-Mizil.The analysis also showed that classic lines often have a(n)(15)_: they can be widely used because they dont conta

15、in words that(16)_ them to a specific context.The model was able to(17)_ between classic and ordinary quotes with 64 percent accuracy.(18)_ scored 78 percent.The team(19)_ that political candidates could use the model to assess their(20)_.21 (1)（A）collect（B） grasp（C） maintain（D）pursue22 (2)（A）create

16、（B） use（C） identify（D）remember23 (3)（A）approaching（B） exceeding（C） equaling（D）surpassing24 (4)（A）directors（B） editors（C） actors（D）writers25 (5)（A）remembered（B） published（C） preserved（D）mentioned26 (6)（A）for which（B） by which（C） in which（D）from which27 (7)（A）but（B） or（C） while（D）so28 (8)（A）different（

17、B） specific（C） identical（D）present29 (9)（A）sentence（B） idea（C） language（D）length30 (10)（A）resources（B） patterns（C） skills（D）studies31 (11)（A）managed（B） failed（C） convinced（D）seemed32 (12)（A）connected（B） peculiar（C） similar（D）suitable33 (13)（A）surprising（B） possible（C） familiar（D）popular34 (14)（A）rea

18、dy（B） sure（C） easy（D）close35 (15)（A）appeal（B） usage（C） function（D）property36 (16)（A）add（B） tie（C） extend（D）transfer37 (17)（A）distinguish（B） switch（C） choose（D）compare38 (18)（A）Amateurs（B） Professionals（C） Humans（D）Animals39 (19)（A）discovered（B） declared（C） ensured（D）suggested40 (20)（A）actions（B） slogans（C） advertisements（D）beliefs