【正文】 彎曲) and turns are can lead us home again. They can lead us to our homes here on Earth. They can lead us to our homes in our heart, if we can insist.（1）Why was the author never bored when he was a boy? there was still a TV. he liked hiking alone. there were so many playgrounds built for him. he had so many places around his house to play.（2）What made the author decide to take the old road? it before. it was a muddy road. a new and special experience. it had deep woods on both sides.（3）How did the author feel when he saw a known house in the distance? ....（4）Why did the author mention the sign? share a famous saying with readers. introduce what he wanted to say. explain the function of the sign. prove the significance of the sign.【答案】 （1）D（2）C（3）A（4）B 【解析】【分析】這是一篇夾敘夾議的文章。文章通過自己的親身經(jīng)歷，說明了所有的路，最終都是回家的路。 （1）細(xì)節(jié)理解題。答案定位在第一段Still, I was never bored. The fields, hills, and woodlands around my house were the nature readymade ，故選D。 （2）推理判斷題。答案定位在第二段It was full of holes and muddy tracks and deep woods bordered it on both sides, but exploring it still seemed like a fine adventure.（它到處都是洞和泥濘的小路，兩邊都是茂密的樹林，但探索它仍然像是一場(chǎng)美妙的冒險(xiǎn)。）由此可見嘗試一種新的和特殊的體驗(yàn)使作者決定走這條老路，故選C。 （3）推理判斷題。答案定位在倒數(shù)第二段It was a house that I recognized. My heart leapt up! I jumped up and down and laughed out loud.（那是一所我認(rèn)得的房子。我的心跳了起來!我跳上跳下，放聲大笑。）由此推斷出作者看到遠(yuǎn)處有一所熟悉的房子時(shí)感覺非常激動(dòng)，故選A。 （4）推理判斷題。最后一段I remembered this recently when I saw a sign that said, “All roads lead Home.” This is true. In this life all roads no matter what their twists(彎曲) and turns are can lead us home again. They can lead us to our homes here on Earth. They can lead us to our homes in our heart, if we can insist.（我記得最近見過的一則標(biāo)語是這樣說的：“所有的路都是回家的路?！贝搜圆惶?，這輩子所有的路不管怎樣迂回曲折，最終都會(huì)引導(dǎo)著我們回家，有的是回到這里，回到我們物質(zhì)層面的家，有的是回到我們心靈的家園。）由此推斷出作者提到這則標(biāo)語是為了介紹他想說的話，故選B。 【點(diǎn)評(píng)】本題考點(diǎn)涉及細(xì)節(jié)理解和推理判斷兩個(gè)題型的考查， 是一篇夾敘夾議的文章，閱讀時(shí)在首段可以確定文章的主題句，答題時(shí)通過題干中的關(guān)鍵詞在文章中定位，然后分析相關(guān)信息，從而確定與題干相符的選項(xiàng)。8．閱讀理解 Computer scientists have hoped to give robots technical skills to help them recognize, process and react to humor. But these attempts have mostly failed. AI experts say that in many cases, attempts to make robots understand humor end up producing funny results, but not in the way they were supposed to. Tristan Miller studied more than 10,000 puns in one research project. The pun is a kind of joke that uses a word with two meanings. For example, you could say, “Balloons do not like pop music. The word pop can be a way of saying popular music。 or can mean the sound a balloon makes when it explodes. But a robot might not get the joke. Tristan Miller says that is because humor is a kind of creative language that is extremely difficult for puter intelligence to understand. Allison Bishop is a puter scientist and she also performs standup edy. She explained that machines are trained to look for patterns. Comedy, on the other hand, relies on things that stay close to a pattern, but not pletely within it. To be funny, humor should also not be predictable, Bishop said. This is a great challenge for a machine to recognize and understand what is funny. Bishop says since robots have great difficulty understanding humor, she feels like it gives her better job safety as a edy performer. It even made her parents happy when her brother decided to bee a fulltime edy writer because it meant he wouldn39。t be replaced by a machine, she added. Despite the difficulties, Darmstadt University39。s Miller says there are good reasons to keep trying to teach humor to robots. It could make machines more relatable (敘述的), especially if they can learn to understand sarcasm (諷刺), he noted. Humans use sarcasm to say one thing but mean another. But Kiki Hempelmann thinks differently. Teaching AI systems humor may make them find it where it isn39。t, and they may use it where it39。s not suitable, he said. Maybe bad AI will start killing people because it thinks something is funny, he added.（1）What does the author most probably want to show in Paragraph 1? 39。 influence on the scientific development.39。 challenges of making sense of humor. scientists39。 devotion to technical skills. scientists39。 concern about AI39。s development.（2）What are examples mentioned in Paragraphs 2 and 3 intended to do? robots do poorly in funny work robots aren39。t as intelligent as humans language is plex and changeable language can39。t be taught in a set pattern（3）What can we infer about teaching AI system humor from the last paragraph? will make no difference. may be a doubleedged sword. may help improve humans39。 humor. will attract more puter scientists.（4）Where would the passage most probably e from? journal speech【答案】 （1）B（2）D（3）B（4）C 【解析】【分析】本文是一篇說明文，工程師很難讓機(jī)器創(chuàng)造幽默。對(duì)于機(jī)器人是否應(yīng)該被教授幽默，不同的科學(xué)家有不同的見解。 （1）考查推理判斷。根據(jù)第一段中的“Computer scientists have hoped to give robots technical skills to help them recognize, process and react to humor. But these attempts have mostly failed.”可知，計(jì)算機(jī)科學(xué)家希望賦予機(jī)器人技術(shù)技能，幫助它們識(shí)別、處理和應(yīng)對(duì)幽默。但這些嘗試大多以失敗告終。通過第一段作者想要展示的是讓機(jī)器人理解幽默是有挑戰(zhàn)性的。故選B。 （2）考查推理判斷。根據(jù)第二段中的“Tristan Miller says that is because humor is a kind of creative language that is extremely difficult for puter intelligence to understand.”特里斯坦米勒說，這是因?yàn)橛哪且环N創(chuàng)造性的語言，對(duì)計(jì)算機(jī)智能來說是非常難以理解的；第三段中的“This is a great challenge for a machine to recognize and understand what is funny.”對(duì)于機(jī)器來說，識(shí)別和理解什么是有趣的是一個(gè)巨大的挑戰(zhàn)，可推斷，這兩個(gè)例子是用來說明語言不能用固定的模式來教授的。故選D。 （3）考查推理判斷。根據(jù)最后一段中的“‘Teaching AI systems humor may make them find it where it isn39。t, and they may use it where it39。s not suitable,39。 he said. ‘Maybe bad AI will start killing people because it thinks something is funny,39。 he added.“教人工智能系統(tǒng)幽默可能會(huì)讓它們?cè)诓贿m合的地方找到幽默，也可能在不適合的地方使用它”，他說?！耙苍S壞的人工智能會(huì)開始?xì)⑷?，因?yàn)樗J(rèn)為有些東西很有趣”他補(bǔ)充說道，可推斷出，教授人工智能系統(tǒng)幽默可能是一把雙刃劍。故選B。 （4）考查推理判題。根據(jù)第一段中的“Computer scientists have hoped to give robots technical skills to help them recognize, process and react to humor.”計(jì)算機(jī)科學(xué)家希望給機(jī)器人技術(shù)技能，以幫助他們識(shí)別，處理和反應(yīng)幽默，可知，本文講述了教授機(jī)器人幽默，因此推斷這篇文章很可能選自科學(xué)雜志。故選C。 【點(diǎn)評(píng)】本題考點(diǎn)涉及推理判斷題型的考查，是一篇科技類閱讀，考生需要根據(jù)上下文進(jìn)行邏輯推理，從而選出正確答案。9．閱讀理解 Guess what former Australian Prime Minister Kevin Rudd, Facebook CEO Mark Zuckerber