【正文】 efforts to increase native speakers. for the disappearance of some American Indian languages. to help the native tribes lead a traditional life. popularity of the language learning apps.【答案】 （1）B（2）C（3）D（4）A 【解析】【分析】本文是一篇說。Currently there are two apps, called Learning Tlingit and Tlingit Language Games. The Learning Tlingit app serves as a language guide. It provides Tlingit words and expressions, the tribal alphabet, as well as a basic list of the words included. With the Tlingit Language Games app, users are given a choice of different places of environments, like a house, forest or ocean.（1）What is the problem the native Americans are facing now? number of native Americans has been increasing. and fewer native Americans speak their own language. native language has been extinct.39。 The Learning Tlingit app serves as a reference for important language topics such as conversation phrases, number, and letters. However, fearing a loss of history and culture, the Indian Nations are experimenting with new ways to increase the language ability of tribal members. Since the late 1800s many American Indian children have attended boarding schools. At that time, Indian children were required to attend schools by law, and the government forced Indian families to send their children to such schools. s language has decreased over the past century. The United States is home to 562 recognized American Indian Nations each with its own language. 【點評】本題考點涉及細節(jié)理解和推理判斷兩個題型的考查，是一篇人生感悟類閱讀，考生需要準確捕捉細節(jié)信息，并根據(jù)上下文進行邏輯推理，從而選出正確答案。s also drink to the understanding that the time to answer deeply human questions about deep learning and AI is now.”可知作者對于AI的先進性持謹慎態(tài)度，讓時間來證明這一切。 （4）考查細節(jié)理解。根據(jù)根據(jù)第四段中的“However，unpredictability also indicates a loss of human control.”可知，不可預測性也表明失去了人類的控制，故選A。根據(jù)第二段中的“Then，AlphaGo played against itself, tirelessly learning from its own mistakes and improving its gameplay over time. The results speak for themselves.”可知，AI的學習過程是通過不斷和自己比賽，吸取經(jīng)驗獲得自我提高，故選A。s attitude towards this remarkable advance in AI? ....【答案】 （1）A（2）A（3）C（4）D 【解析】【分析】本文是一篇夾敘夾議文，作者結(jié)合人工智能AlphaGo戰(zhàn)勝韓國棋手李世石的圍棋比賽展開，闡述了AI的運作原理以及作者的思考。s also drink to the understanding that the time to answer deeply human questions about deep learning and AI is now.（1）What contributes most to the unconventional move of AlphaGo in the game? capability of selfimprovement. constant input of large data sets. installation of deep neutral networks. knowledge of Go rules and strategies.（2）A potential danger of Al is _____. loss of human control friendly relationship fierce petition lack of challenge（3）How should we deal with the unpredictability of AI? should stop AI machines from developing even further. should call on the government to solve these problems for us. should rely on ourselves and e up with effective solutions. should invent even more intelligent machines to solve everything.（4）What39。 How much and what kind of control should we give up to AI machines? How should we design appropriate human control into AI that requires us to give up some of that very control? Is there some AI that we should just not develop if it means any loss of human control? How much of a say should corporations, governments, experts or citizens have in these matters? These important questions, and many others like them, have emerged in response, but remain unanswered. They require human, not human like, solutions. Unpredictability and surprises are—or can be—a good thing. They can indicate that a system is working well, perhaps better than the humans that came before it. Such is the case with AlphaGo. However, unpredictability also indicates a loss of human control. That Hassabis is surprised at his creation39。s founders, echoed this ment:We39。 The number of possible moves in a game of Go is so huge that in order to win against a player like Lee. AlphaGo was designed to adopt a human—like style of gameplay by using a relatively recent developmentdeep learning. Deep learning uses large data sets, machine learning algorithms （計算程序） and deep neural networks to teach the AI how to perform a particular set of tasks. Rather than programming plex Go rules and strategies into AlphaGo DeepMind designers taught AlphaGo to play the game by feeding it data based on typical Go moves. Then, AlphaGo played against itself, tirelessly learning from its own mistakes and improving its gameplay over time. The results speak for themselves. Let us all raise a glass to AlphaGo and the advance of artificial intelligence. AlphaGo, DeepMind39。 【點評】本題考點涉及細節(jié)理解和主旨大意兩個題型的考查，是一篇人生感悟類閱讀，考生需要準確捕捉細節(jié)信息，根據(jù)上下文的邏輯關(guān)系，進行推理，歸納，從而選出正確答案。 （4）考查主旨大意。 （3）考查細節(jié)理解。 （2）考查細節(jié)理解。 （1）考查細節(jié)理解。s Day. fatherless childhood. father39。s passing makes the author____. the love of his own life. to live longer than his father. very disappointed all the time. to get more bonus from life.（4）What is the author mainly talking about in this passage? father39。 I have sometimes felt disappointment in not knowing my father but life has moved on. However, can I say to those who do have fathers, celebrate today with him and return him all the love and happiness he has given to you.（1）Why did the author answered No in Para 4? didn39。 The 2nd World War was in full battle and Australia was being attacked. My Mum and I with my younger brother, were living with my grandparents and I can only imagine the emotional circumstances that existed in the household at that time. Probably not something that would leave a memory. While this subject had e up before, however, the question had not been put so bluntly(直率的). I answered No. My only memory is of