【正文】
British read.(3)How does iReader make the content easy to remember? bringing fun to it. making it useful. using artistic designs. taking users as examples.(4)What is the best title for the text? Prevents Reading from Dying Unites Worldwide Booklovers: The Best New App Creation: Big Ideas in Small Packages【答案】 (1)A(2)D(3)B(4)D 【解析】【分析】本文是一篇說明文,介紹了一種閱讀方式:iReader。它開創(chuàng)了一種新的閱讀方式,已經(jīng)有超過900萬(wàn)的用戶享受到了這種好處,同時(shí)也正改變著英國(guó)人的閱讀方式。 (1)考查細(xì)節(jié)理解。第一段中的“Almost none of us have the time to read everything we39。d like to read.”幾乎沒有人有時(shí)間讀我們想讀的所有東西;以及最后一段中的“What if we could turn these little blocks of unoccupied time into precious and rewarding moments for learning and reflection?”可知作者認(rèn)為我們應(yīng)該把空閑的時(shí)間變成寶貴的、有價(jià)值的學(xué)習(xí)和反思的時(shí)間,即作者建議我們利用空閑時(shí)間來(lái)閱讀和思考,故選A。 (2)考查推理判斷。根據(jù)第三段中的“There are now more ways for the British to read than ever before, due to the widespread use of ebooks and audio books.”可知由于電子書和有聲書的廣泛使用,英國(guó)人現(xiàn)在有了比以往更多的閱讀方式。即從PRC的發(fā)現(xiàn)中我們能得知新的書籍形式正在改變英國(guó)人的閱讀方式。故選D。 (3)考查細(xì)節(jié)理解。根據(jù)第四段中的“The way the content is edited has been specifically designed to ensure it is useful in practice.”可知iReader通過使得目錄有助于實(shí)踐來(lái)讓內(nèi)容更容易記住,故選B。 (4)考查主旨大意。根據(jù)最后一段中的“iReader gives you the biggest ideas in the shortest possible time. It transforms great ideas into little packs you can listen to or read in just 15 minutes.”可知iReader能在最短的時(shí)間內(nèi)給你最大的想法。它把偉大的想法轉(zhuǎn)化成小包裝,你可以在15分鐘內(nèi)聽或讀。再結(jié)合文章內(nèi)容可知,文章主要是說明了iReader這種新的閱讀方式是小包裝里的大創(chuàng)意,故選D。 【點(diǎn)評(píng)】本題考點(diǎn)涉及細(xì)節(jié)理解,推理判斷和主旨大意三個(gè)題型的考查,是一篇教育類閱讀,要求考生在捕捉細(xì)節(jié)信息的基礎(chǔ)上,進(jìn)一步根據(jù)上下文的邏輯關(guān)系,進(jìn)行分析,推理,概括和歸納,從而選出正確答案。8.閱讀理解 Microsoft announced this week that its facialrecognition system is now more accurate in identifying people of color, touting (吹噓)its progress at tackling one of the technology39。s biggest biases (偏見). But critics, citing Microsoft39。s work with Immigration and Customs Enforcement, quickly seized on how that improved technology might be used. The agency contracts with Microsoft for cloudputing tools that the tech giant says is largely limited to office work but can also include face recognition. Columbia University professor Alondra Nelson tweeted, We must stop confusing 39。inclusion39。 in more 39。diverse39。 surveillance (監(jiān)管)systems with justice and equality. Facialrecognition systems more often misidentify people of color because of a longrunning data problem: The massive sets of facial images they train on skew heavily toward white men. A Massachusetts Institute of Technology study this year of the facerecognition systems designed by Microsoft, IBM and the Chinabased Face++ found that facialrecognition systems consistently giving the wrong gender for famous women of color including Oprah Winfrey, Serena Williams, Michelle Obama and Shirley Chisholm, the first black female member of Congress. The panies have responded in recent months by pouring many more photos into the mix, hoping to train the systems to better tell the differences among more than just white faces. IBM said Wednesday it used 1 million facial images, taken from the photosharing site Flickr, to build the world39。s largest facial dataset which it will release publicly for other panies to use. IBM and Microsoft say that allowed its systems to recognize gender and skin tone with much more precision. Microsoft said its improved system reduced the error rates for darkerskinned men and women by up to 20 times, and reduced error rates for all women by nine times. Those improvements were heralded(宣布)by some for taking aim at the prejudices in a rapidly spreading technology, including potentially reducing the kinds of false positives that could lead police officers misidentify a criminal suspect. But others suggested that the technology39。s increasing accuracy could also make it more marketable. The system should be accurate, but that39。s just the beginning, not the end, of their ethical obligation, said David Robinson, managing director of the think tank Upturn. At the center of that debate is Microsoft, whose multimilliondollar contracts with ICE came under fire amid the agency39。s separation of migrant parents and children at the Mexican border. In an open letter to Microsoft chief executive Satya Nadella urging the pany to cancel that contract, Microsoft workers pointed to a pany blog post in January that said Azure Government would help ICE accelerate recognition and identification. We believe that Microsoft must take an ethical stand, and put children and families above profits, the letter said. A Microsoft spokesman, pointing to a statement last week from Nadella, said the pany39。s current cloud engagement with ICE supports relatively anodyne(溫和的)office work such as mail, calendar, massaging and document management workloads. The pany said in a statement that its facialrecognition improvements are part of our going work to address the industrywide and societal issues on bias. Criticism of face recognition will probably expand as the technology finds its way into more arenas, including airports, stores and schools. The Orlando police department said this week that it would not renew its use of Amazon. 39。s Rekognition system. Companies have to acknowledge their moral involvement in the downstream use of their technology, Robinson said. The impulse is that they39。re going to put a product out there and wash their hands of the consequences. That39。s unacceptable.(1)What is one of the technology39。s biggest biases in Paragraph 1? A.Class bias.B.Regional difference.C.Professional prejudice.D.Racial discrimination.(2)What can we know about the improvement of facialrecognition technology? A.Justice and equality have been truly achieved.B.It is due to the expansion of the photo database.C.It has already solved all the social issues on biases.D.The separation of immigrant parents from their children can be avoided.(3)What is the focus of the facerecognition debate? A.Data problems.B.The ma