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一、阅读理解
In order to help change our influence on the environment of the Earth，a California-based organization is searching to build an AI language. It can allow people to deeply understand non-human languages.
Aza Raskin is the co-founder and president of the Earth Species Project (ESP)，an organization that uses a form of AI to translate non-human languages. ESP wants to use its machine learning technology to understand this important information and make it easily known to the public.
Raskin stressed their purpose to help protection by explaining，“The end we are working towards is，we can find out the non-human language，and decode animal communication. Along the way，what is also important is that we are developing technology that supports scientists and protection.”ESP believes that understanding languages can help deepen our relationship with animals and allow us to better protect them.
In the past，understanding the communication of animals heavily depended on a great deal of observation (观察). Whether it is calls of alarms or sounds made by dolphins or elephants，scientists have been amazed by the different forms of non-human communication present in these animals. With the development of new technologies，researchers have now begun to understand a great deal of data they can get through machine learning.
Elodie Briefer，a professor at the University of Copenhagen，has recently helped co-develop an algorithm (算法). It can help scientists understand whether pigs are expressing positive or negative feelings. However，ESP is doing it differently，by focusing on all kinds of animals，not just one. ESP believes it is likely that social animals communicate with each other，for example，whales and dolphins.
Although ESP thinks that understanding AI machine learning data is only one step to full communication，it believes that one day we will be able to understand entire systems of communication.
(
A. Educate the public to take care of animals.
B. Create a new organization to protect the Earth.
C. Help people understand non-human languages.
D. Search for new ways to send information by AI.
(
A. Make out. B. Leave out. C. Stand out. D. Bring out.
(
A. By developing new machines.
B. By making lots of observation.
C. By doing research on computers.
D. By comparing different calls of animals.
(
A. New Technology Is Changing Our Life
B. Interesting Animals Are Able to Communicate
C. A New Way to Understand Animal Languages
D. Scientists Are Trying to Communicate with Animals
In order to help change our influence on the environment of the Earth，a California-based organization is searching to build an AI language. It can allow people to deeply understand non-human languages.
Aza Raskin is the co-founder and president of the Earth Species Project (ESP)，an organization that uses a form of AI to translate non-human languages. ESP wants to use its machine learning technology to understand this important information and make it easily known to the public.
Raskin stressed their purpose to help protection by explaining，“The end we are working towards is，we can find out the non-human language，and decode animal communication. Along the way，what is also important is that we are developing technology that supports scientists and protection.”ESP believes that understanding languages can help deepen our relationship with animals and allow us to better protect them.
In the past，understanding the communication of animals heavily depended on a great deal of observation (观察). Whether it is calls of alarms or sounds made by dolphins or elephants，scientists have been amazed by the different forms of non-human communication present in these animals. With the development of new technologies，researchers have now begun to understand a great deal of data they can get through machine learning.
Elodie Briefer，a professor at the University of Copenhagen，has recently helped co-develop an algorithm (算法). It can help scientists understand whether pigs are expressing positive or negative feelings. However，ESP is doing it differently，by focusing on all kinds of animals，not just one. ESP believes it is likely that social animals communicate with each other，for example，whales and dolphins.
Although ESP thinks that understanding AI machine learning data is only one step to full communication，it believes that one day we will be able to understand entire systems of communication.
(
C
)1. What is Aza Raskin trying to do?A. Educate the public to take care of animals.
B. Create a new organization to protect the Earth.
C. Help people understand non-human languages.
D. Search for new ways to send information by AI.
(
A
)2. What does the underlined word “decode” in Paragraph 3 mean?A. Make out. B. Leave out. C. Stand out. D. Bring out.
(
B
)3. How did ESP researchers study animal communication in the past?A. By developing new machines.
B. By making lots of observation.
C. By doing research on computers.
D. By comparing different calls of animals.
(
C
)4. Which of the following is a suitable title for the text?A. New Technology Is Changing Our Life
B. Interesting Animals Are Able to Communicate
C. A New Way to Understand Animal Languages
D. Scientists Are Trying to Communicate with Animals
答案
【语篇解读】本文是一篇说明文。介绍了为了帮助改变人类对地球环境的影响，一家总部位于加州的组织正在寻求创建一种人工智能语言，它可以让人们深入理解非人类语言。
1. C 细节理解题。根据第二段“Aza Raskin is the co - founder and president... to understand this important information and make it easily known to the public.”可知，ESP 希望利用其机器学习技术来理解这些重要信息，并使其容易为公众所知。所以 Aza Raskin 想帮助人们理解非人类语言。故选 C。
2. A 词义猜测题。根据上文“The end we are working towards is, we can find out the non - human language”可知，最终目标是能够发现非人类的语言，解读动物之间的交流。“decode”意为“弄清楚、理解”与“make out”含义相近。故选 A。
3. B 细节理解题。根据第四段“In the past, understanding the communication of animals heavily depended on a great deal of observation.”可知，在过去 ESP 研究人员通过大量的观察来研究动物之间的交流。故选 B。
4. C 标题归纳题。通读全文可知，本文主要介绍了为了帮助改变人类对地球环境的影响，一家总部位于加州的组织正在寻求创建一种人工智能语言，它可以让人们深入理解非人类语言。所以 C 项最适合作为本文的标题。故选 C。
1. C 细节理解题。根据第二段“Aza Raskin is the co - founder and president... to understand this important information and make it easily known to the public.”可知，ESP 希望利用其机器学习技术来理解这些重要信息，并使其容易为公众所知。所以 Aza Raskin 想帮助人们理解非人类语言。故选 C。
2. A 词义猜测题。根据上文“The end we are working towards is, we can find out the non - human language”可知，最终目标是能够发现非人类的语言，解读动物之间的交流。“decode”意为“弄清楚、理解”与“make out”含义相近。故选 A。
3. B 细节理解题。根据第四段“In the past, understanding the communication of animals heavily depended on a great deal of observation.”可知，在过去 ESP 研究人员通过大量的观察来研究动物之间的交流。故选 B。
4. C 标题归纳题。通读全文可知，本文主要介绍了为了帮助改变人类对地球环境的影响，一家总部位于加州的组织正在寻求创建一种人工智能语言，它可以让人们深入理解非人类语言。所以 C 项最适合作为本文的标题。故选 C。
解析
【分析】
拿到这篇说明文阅读，首先明确核心主题：介绍美国加州的ESP组织借助人工智能技术探索理解动物非人类语言的相关研究。解题时可以按题型逐个突破：
1. 第1题是人物目标类细节题，先定位题干中的Aza Raskin，找到原文第二段对应的介绍内容，匹配选项得到答案，同时排除和原文表述不符的干扰项；
2. 第2题是词义猜测题，结合划线词所在句的上下文逻辑，前文提到要找出非人类语言，后文指向动物交流，就能推断出划线词的含义，再匹配四个选项的短语意思选出同义项；
3. 第3题是过去研究方式的细节题，直接定位题干关键词"in the past"，找到第四段开头的原句就能直接对应答案；
4. 第4题是标题归纳题，需要通读全文抓住核心论述对象，排除范围过大、偏离核心的选项，选出最贴合全文主旨的标题。
【解析】
1. 细节理解题：根据原文第二段内容，Aza Raskin所在的ESP组织研发AI技术的目标是翻译非人类语言，让公众了解相关信息。A选项“教育公众爱护动物”不是该组织的直接目标；B选项“创建新组织保护地球”错误，他已经是该组织的联合创始人，并非正在推进的目标；D选项“寻找用AI传递信息的新方式”不符合原文表述，因此只有C选项“帮助人们理解非人类语言”符合原文内容。
2. 词义猜测题：划线词decode所在句的前半句提到“我们努力的最终目标是找出非人类语言”，结合逻辑可知后续动作是解读、弄明白动物的交流内容。四个选项中：A. Make out 意为“辨认、理解、弄清楚”；B. Leave out 意为“遗漏、省去”；C. Stand out 意为“突出、显眼”；D. Bring out 意为“使显现、推出”，只有A选项和decode含义一致。
3. 细节理解题：根据原文第四段第一句"In the past, understanding the communication of animals heavily depended on a great deal of observation."，可知过去研究人员主要通过大量观察来研究动物的交流，对应B选项，其余选项均不符合原文表述。
4. 标题归纳题：全文围绕“借助人工智能这类新技术来理解动物的非人类语言”这一核心展开。A选项“新技术改变我们的生活”范围过于宽泛，没有提及核心的动物语言主题；B选项“有趣的动物能够交流”只提到动物会交流，没有覆盖本文核心的新研究方法；D选项“科学家试图和动物交流”不符合原文，原文现阶段目标是理解动物的交流系统，还未实现双向交流，只有C选项“理解动物语言的新方式”最贴合全文主旨。
【答案】
1. C 2. A 3. B 4. C
【知识点】
细节信息定位，词义猜测，主旨归纳
【点评】
本篇属于前沿科技主题的说明文，贴合当下AI技术应用的热点，同时关联动物保护的相关内容。题目设置覆盖了英语阅读常见的三类核心题型，既考查学生快速定位原文细节的基础阅读能力，也对词义推断、全文主旨概括的能力提出要求，解题时要注意将选项和原文内容逐一比对，避开偷换概念、范围扩大的干扰项。
【难度系数】
0.3
拿到这篇说明文阅读，首先明确核心主题：介绍美国加州的ESP组织借助人工智能技术探索理解动物非人类语言的相关研究。解题时可以按题型逐个突破：
1. 第1题是人物目标类细节题，先定位题干中的Aza Raskin，找到原文第二段对应的介绍内容，匹配选项得到答案，同时排除和原文表述不符的干扰项；
2. 第2题是词义猜测题，结合划线词所在句的上下文逻辑，前文提到要找出非人类语言，后文指向动物交流，就能推断出划线词的含义，再匹配四个选项的短语意思选出同义项；
3. 第3题是过去研究方式的细节题，直接定位题干关键词"in the past"，找到第四段开头的原句就能直接对应答案；
4. 第4题是标题归纳题，需要通读全文抓住核心论述对象，排除范围过大、偏离核心的选项，选出最贴合全文主旨的标题。
【解析】
1. 细节理解题：根据原文第二段内容，Aza Raskin所在的ESP组织研发AI技术的目标是翻译非人类语言，让公众了解相关信息。A选项“教育公众爱护动物”不是该组织的直接目标；B选项“创建新组织保护地球”错误，他已经是该组织的联合创始人，并非正在推进的目标；D选项“寻找用AI传递信息的新方式”不符合原文表述，因此只有C选项“帮助人们理解非人类语言”符合原文内容。
2. 词义猜测题：划线词decode所在句的前半句提到“我们努力的最终目标是找出非人类语言”，结合逻辑可知后续动作是解读、弄明白动物的交流内容。四个选项中：A. Make out 意为“辨认、理解、弄清楚”；B. Leave out 意为“遗漏、省去”；C. Stand out 意为“突出、显眼”；D. Bring out 意为“使显现、推出”，只有A选项和decode含义一致。
3. 细节理解题：根据原文第四段第一句"In the past, understanding the communication of animals heavily depended on a great deal of observation."，可知过去研究人员主要通过大量观察来研究动物的交流，对应B选项，其余选项均不符合原文表述。
4. 标题归纳题：全文围绕“借助人工智能这类新技术来理解动物的非人类语言”这一核心展开。A选项“新技术改变我们的生活”范围过于宽泛，没有提及核心的动物语言主题；B选项“有趣的动物能够交流”只提到动物会交流，没有覆盖本文核心的新研究方法；D选项“科学家试图和动物交流”不符合原文，原文现阶段目标是理解动物的交流系统，还未实现双向交流，只有C选项“理解动物语言的新方式”最贴合全文主旨。
【答案】
1. C 2. A 3. B 4. C
【知识点】
细节信息定位，词义猜测，主旨归纳
【点评】
本篇属于前沿科技主题的说明文，贴合当下AI技术应用的热点，同时关联动物保护的相关内容。题目设置覆盖了英语阅读常见的三类核心题型，既考查学生快速定位原文细节的基础阅读能力，也对词义推断、全文主旨概括的能力提出要求，解题时要注意将选项和原文内容逐一比对，避开偷换概念、范围扩大的干扰项。
【难度系数】
0.3
