類型：學(xué)習(xí)教育
題目總量：200萬+
軟件評(píng)價(jià)：
下載版本
Dr Komarova and her colleagues collected information on music released in Britain between 1985 and 2015. They looked in public repositories of music “metadata” that are used by music lovers and are often tapped into by academics. They compared what they found in these repositories with what had made it into the charts.
Metadata are information about the nature of a song that can give listeners an idea of what that song is like before they hear it. The repositories presented Dr Komarova and her team with more than 500,000 songs that had been tagged by algorithms which had been trained to detect numerous musical features. The tags included a dozen binary variables (dark or bright timbre; can or cannot be danced to; vocal or instrumental; sung by a man or a woman; and so on). The team fed all of this information into a computer and compared the features of songs that had made it into the charts (roughly 4% of those in the repositories)with those of songs that had not.
Overall, the team's results suggested that songs tagged as happy and bright have become rarer during the past 30 years; the opposites have therefore appeared with greater frequency. That was not, however, reflected in what made it into the charts. Chart successes were happier and brighter (though also less relaxed), than the average songs released during the same year. Chart toppers were also more likely than average songs to have been performed by women. All this is important information for executives of music companies.
Dr Komarova used these results to train her computer to try to predict whether a randomly presented song was likely to have been a hit in a given year. The machine correctly predicted success 75% of the time, compared with the 4% rate that guessing success at random from the music database would yield something else music executives might pay attention to.
Content is not everything. As might be expected, circumstances particularly any fame already attaching to a recording artist or artists had an effect, too. But not a huge one. Adding in information about who was performing a song increased the accuracy of prediction to 85%. That suggests that musical fame is actually attached to talent，rather than to hype. And this, perhaps, is a third lesson for an industry that some believe is not wedded to talent enough.
單選題第1題Which of the following adjectives best describes the nature of songs?
A.Complicated.
B.Ordinary.
C.Splendid.
D.Simple.
參考答案：A
答案解析：該題定位至第1段。本題考查歌曲的特征可以用哪個(gè)形容詞來描述。由該段第三句“歌曲是具有復(fù)雜特征的混合體”，可見歌曲本質(zhì)上較為復(fù)雜，因此A “復(fù)雜的”為正確答案。B項(xiàng)“普通的”、C項(xiàng)“美妙的”、D項(xiàng)“簡(jiǎn)單的”均與句意不符。答案為A。
單選題第2題Which of the following is NOT referred as a difficult reason of analyzing songs for composers?
A.Songs are complex mixtures of features.
B.There isn't a mature method to analyze songs.
C.Music companies control the main resources.
D.Popular changes make it more difficult.
參考答案：C
答案解析：該題定位至第1段。該段主要講了作曲家要分析歌曲所面臨的困難。A項(xiàng)指“歌曲是具有復(fù)雜特征的混合體”；B項(xiàng)指“如何分析它們并沒有明確的方法”；D項(xiàng)指“流行趨勢(shì)在不斷地變化”；只有C項(xiàng)“音樂公司控制了主要的資源”在文中并未提及，因此答案為C項(xiàng)。
單選題第3題What is“Metadata” mentioned in Paragraph 3?
A.Metadata are information of a song5s nature that can let listeners know the song while they are listening to it.
B.Metadata are information of a song's nature that can let listeners know the song after they hear it.
C.Metadata are information of a song^ nature that can let listeners know about the song in advance.
D.Metadata are information of a song^ nature that can let listens know which song can be popular.
參考答案：C
答案解析：根據(jù)“Metadata”定位至第3段。該段第一句對(duì)“Metadata”做了介紹：“元數(shù)據(jù)是關(guān)于歌曲性質(zhì)的信息，可以讓聽眾在聽到之前知道該歌曲是什么樣的�！� A項(xiàng)“在聽歌曲的過程中”、B項(xiàng)“聽完歌曲后”、D項(xiàng)“了解到哪些歌可能流行起來”均與原意不符，因此答案為C項(xiàng)。
單選題第4題What didn't Dr. Komarova and her colleagues do?
A.They collected information on music released in Britain between 1985 and 2015.
B.They looked in public repositories of music and visited some famous composers.
C.They compared the features of songs that had made it into the charts with those of songs that had not.
D.They looked in public repositories of music “metadata”.
參考答案：B
答案解析：該題需結(jié)合第2、3段進(jìn)行分析。題目問Dr. Komarova和她的同事沒有做什么事情。根據(jù)2、3段，可知“他們收集了 1985年至2015年間在英國(guó)發(fā)布的音樂的信息，調(diào)查了經(jīng)常被音樂愛好者使用和學(xué)者們研究的音樂‘元數(shù)據(jù)'公共存儲(chǔ)庫，將這些存儲(chǔ)庫中的音樂與上榜音樂進(jìn)行了比較”，因此A、C、D項(xiàng)均與原文相符。B項(xiàng)中提到的“拜訪著 名作曲家”在文中并未提及，因此正確答案為B項(xiàng)。
單選題第5題The underlined word “hit” in Paragraph 5 is closest in meaning to______.
A.blow
B.strike
C.success
D.failure
參考答案：C
答案解析：第5段第一句話的意思是：Komarova博士將這些結(jié)果與其電腦對(duì)應(yīng)，試圖預(yù)測(cè)一首隨機(jī)出現(xiàn)的歌曲是否有可能在某一年沖上熱門榜單。在此句中，hit此處表示“大獲成功的歌曲”，而不是A項(xiàng)“打擊”、B項(xiàng)“罷工”、D項(xiàng)“失敗”，因此答案為C項(xiàng)。
單選題第6題What did the team's results suggest?
A.The songs marked as bright have become less frequent.
B.The songs marked as dark have become less frequent.
C.The songs marked as bright have become less frequent in what made it into the charts.
D.The songs marked as dark have become more frequent in what made it into the charts.
參考答案：A
答案解析：該題定位至第4段。第4段主要講了調(diào)查的結(jié)果。該團(tuán)隊(duì)的結(jié)果表明，“在過去30年中，標(biāo)記為快樂和愉悅的歌曲變得越來越少，相反，其對(duì)立面出現(xiàn)的頻率更高。然而，這并沒有在銷量榜單中反映出來”。因此正確答案應(yīng)為A項(xiàng)。B、C、D三項(xiàng)皆表述有誤。
單選題第7題Content is not everything because______.
A.music companies decide the mainstream culture of songs
B.artists5 interest and high demand of salary influence the charts
C.circumstances, especially any fame already attaching to recording artists had an effect
D.artists' fame had an extremely huge effect on songs
參考答案：C
答案解析：該題定位至第6段。題目問內(nèi)容并非一切的原因是什么。該段二、三句主要講述了對(duì)音樂能否成功也具有影響的因素：“環(huán)境尤其是那些己經(jīng)依附于唱片藝術(shù)家或個(gè)人藝術(shù)家的名聲也對(duì)歌曲產(chǎn)生了影響，但影響不是很大。”第五句還指出“音樂名氣實(shí)際上是與才華掛鉤的，而不是炒作”。選項(xiàng)A、B在文中并未提及，D項(xiàng)夸大了名聲的作用，因此答案為C項(xiàng)。
單選題第8題What does “a third lesson” refer to in the last paragraph?
A.A great deal of funding an industry needs to support operation.
B.Measures taken to prevent artists5 privacy from leaking.
C.Money spent for advertising their music.
D.All industries need relevant talents to create value rather than hype.
參考答案：D
答案解析：該題定位至第6段。題目問文中對(duì)于企業(yè)來說第三個(gè)經(jīng)驗(yàn)指什么。這道題需要結(jié)合整個(gè)段落來理解，該段第一句指出“內(nèi)容并非一切”是經(jīng)驗(yàn)一；第二、三句指出“環(huán)境，尤其是藝術(shù)家的名聲也對(duì)歌曲產(chǎn)生影響，但影響并不大”，是經(jīng)驗(yàn)二；第四、五句中說“添加歌手信息會(huì)將預(yù)測(cè)的準(zhǔn)確性提高到85%,這表明音樂的名氣實(shí)際上與歌手的才華有關(guān)，而不是炒作”，是經(jīng)驗(yàn)三，也就是說這個(gè)行業(yè)中歌手的才華是需要注意的第三點(diǎn)。A、B項(xiàng)文中并未提到，C項(xiàng)“打廣告”實(shí)際上就是炒作，與第五句不符。所以正確答案為D項(xiàng)。
單選題第9題In which section can we find this article in a magazine?
A.International view.
B.Business.
C.Science and technology.
D.Books and arts.
參考答案：C
答案解析：該題的解答需結(jié)合全文來看。題目問我們可以從雜志的哪個(gè)欄目中找到這篇文章。這篇文章講的是Komarova博士及其同事針對(duì)歌曲的成分做的一項(xiàng)調(diào)查，給我們介紹了這項(xiàng)研究的初衷、如何收集數(shù)據(jù)、研究的方法以及最后得出的結(jié)論�？傮w來看，這是一項(xiàng)科學(xué)的研究，因此它應(yīng)該在科技專欄，答案為C項(xiàng)。
單選題第10題After learning the results of this study, what will music executives do?
A.They will use music database to predicate hit songs.
B.They will do a relevant research on their own.
C.They will recruit some famous composers and singers.
D.They will use machine to predicate hit songs.
參考答案：D
答案解析：第5段中提到，“機(jī)器預(yù)測(cè)的成功率為75%，相比之下，從音樂數(shù)據(jù)庫中隨機(jī)猜測(cè)成功的概率是4%,音樂公司的高管可能會(huì)注意到這一點(diǎn)”。由此可判斷，A項(xiàng)錯(cuò)誤，D項(xiàng)正確，B項(xiàng)和C項(xiàng)文中未提及。答案為D。
涉及考點(diǎn)
2020翻譯三級(jí)綜合能力考試大綱
二、閱讀理解
相關(guān)題庫
| 題庫產(chǎn)品名稱 | 試題數(shù)量 | 優(yōu)惠價(jià) | 免費(fèi)體驗(yàn) | 購買 |
|---|---|---|---|---|
| 2022年翻譯三級(jí)《英語筆譯綜合能力》考試題庫 | 1870題 | ￥98.00 | 免費(fèi)體檢 | 立即購買 |
你可能感興趣的試題
- · Without the friction between our feet and the ground, we may not be able to walk. 查看答案
- · By providing people with information about their electricity use down to every查看答案
- · According to UNICEF, around 564 million Indians, nearly half the population查看答案
- · He was a scientist who claimed to have a miracle cure and was then查看答案
- · If you want to understand what life expectancy is decreasing 查看答案
微信掃碼關(guān)注焚題庫
-
歷年真題
歷年考試真題試卷，真實(shí)檢驗(yàn)
-
章節(jié)練習(xí)
按章節(jié)做題，系統(tǒng)練習(xí)不遺漏
-
考前試卷
考前2套試卷，助力搶分
-
模擬試題
海量考試試卷及答案，分?jǐn)?shù)評(píng)估
相關(guān)試卷
- · 2022年翻譯資格考試《三級(jí)筆譯實(shí)務(wù)》強(qiáng)化試卷（三）
- · 2022年翻譯資格考試《二級(jí)筆譯實(shí)務(wù)》模擬試卷（三）
- · 2022年翻譯資格考試《二級(jí)筆譯實(shí)務(wù)》模擬試卷（二）
- · 2022年翻譯資格考試《二級(jí)筆譯實(shí)務(wù)》模擬試卷（一）
- · 2022年翻譯資格考試《三級(jí)筆譯綜合能力》模擬試卷（三）
- · 2022年翻譯資格考試《三級(jí)筆譯綜合能力》模擬試卷（二）
- · 2022年翻譯資格考試《三級(jí)筆譯綜合能力》模擬試卷（一）
- · 2022年翻譯資格考試《三級(jí)筆譯實(shí)務(wù)》強(qiáng)化試卷（二）