英语作文

时间：2021-03-26 16:30:58 其他类英语作文我要投稿

【实用】英语作文锦集七篇

　　在日常生活或是工作学习中，许多人都有过写作文的经历，对作文都不陌生吧，作文是人们以书面形式表情达意的言语活动。那么你知道一篇好的作文该怎么写吗？下面是小编收集整理的英语作文7篇，供大家参考借鉴，希望可以帮助到有需要的朋友。

【实用】英语作文锦集七篇

英语作文篇1

　　Dear Mrs Brown，We are so glad that you're coming to join us on Saturday. Here is how you can find us. We'll have our gathering party in the Central Park. Maybe you've been there，haven't you？

　　Go straight on when you get out of the school gate and come to the street. Then turn right at the second crossing and you'll find a hospital. Just opposite it is a No. 7 bus stop. Take a bus and get off at the fourth stop. Central Park is just in front of it. We'll have our gathering party in a boat on the lake. What a funny thing！ Do come on time. We'll wait for you at the park gate.

　　Yours，

　　Li Hong

　　亲爱的夫人，我们很高兴你会来参加我们星期六的。下面是你如何找到我们。我们将有我们的聚会在中央公园。也许你在那儿，不是吗？

　　当你走出校门，来到街上，你就一直走。然后在交叉路口右转，你会找到一家医院。正好相反，7路公共汽车站。坐公共汽车去第四站下车。中央公园就在眼前。我们将在湖上的一条船上有我们的聚会。多么有趣的事情啊。我们会在公园门口等你。

　　你的，

　　李洪

英语作文篇2

　　 Directions: For this part, you are allowed 30 minutes to write a resume. You should write at least 150 words and base on the outline (given in Chinese) below:

　　1、假使你看到了一个公司的招聘广告。

　　2、介绍自己的背景材料(如学历、专业、特长、爱好、等等)。

　　3、说明有强烈的应聘愿望。

　　October 13,20xx

　　P.O. Box 36

　　Tsinghua University

　　Beijing,China 100084

　　Dear Sir/Madam:

　　Your advertisement for a Network Maintenance Engineer in the October 10 Student Daily interested me bacause the position that you described sounds exactly like the kind of job I am seeking.

　　According to the advertisement, your position requires top university, Bachelor or above in Computer Science or equivalent field and proficient in Windows NT4.0 and LINUX System. I feel that I am competent to meet the requirements. I will be graduating from Tsinghua University this year with a Bechelor degree. My studies have included courses in computer control and management and I designed a control simulation system developed with Microsoft Visual InterDev and SQL Server.

　　During my education, I have grasped the principals of my major and skills of practice. Not only have I passed CET-6, but more important I can communicate with others freely in English. My ability to write and speak English is out of question.

　　I would appreciate your time in reviewing my enclosed resume and if there is any additional information you require, please contact me. I would welcome an opportunity to meet with you for a personal interview.

　　With many thanks,

　　Zhang Yu

英语作文篇3

　　In English, the word about color can reflect different emotions. Blue and grey mean bad mood and red means vitality. A new research found that people are easily affected by the products that are in colors. For example, when students see the red color in the blackboard, they feel not eased. The candies which are packaged in green often not sells well and the food will not considered to be packaged in blue. The rule that color has something to do with people’s mood, so the wise manufacturers make use of this rule to catch people’s attention. They choose the color that pleases customers and make more profits.

　　在英语中,有关颜色的词可以反映出不同的情绪。蓝色和灰色意味着坏心情和红色意味着活力。一项新的研究发现,人们很容易受到产品不同颜色的影响。颜色与心情例如,当学生看到黑板上的红色,他们觉得不放松。包装是绿色的糖果往往不是很畅销,食物不会用蓝色来包装。颜色与人的`情绪有关这是规则,所以聪明的制造商会利用这个规则去抓住人们的注意力。他们选择颜色去取悦客户,创造更多的利润。

英语作文篇4

　　The Way to Happiness When it comes to the topic of happiness, everybody has his own interpretation. But an inspiring idea goes that happiness is not the absence of problems, but the ability to deal with them, which reveals the nature of happiness. Happiness will be achieved only when we show great courage to confront problems and develop the capacity to solve them. There is no denying that we will encounter many problems in our life, but that doesn't mean we are deprived of h happiness. Many people have set great examples for us to follow: Nelson Mandela was sentenced to 27 years in prison, but he was optimistic and finally became successful in fighting against racial segregation. Steve Jobs was abandoned by his biological parents and dropped out of university but still managed to change the world. In our lives, no one is definitely immune to problems, but we may achieve happiness through striving.

　　说到幸福的话题，每个人都有自己的解释。但一个令人鼓舞的想法是，幸福不是没有问题，而是能够处理它们，这揭示了幸福的本质。只有当我们敢于正视问题并发展解决问题的能力时，我们才能获得幸福。不可否认的是，我们会在生活中遇到很多问题，但这并不意味着我们被剥夺了幸福。很多人都为我们树立伟大的例子：曼德拉被判处有期徒刑27年，但他是乐观的，最后成为反对种族隔离的成功。史提夫的工作被他的亲生父母抛弃了，但还是退出了大学，但还是设法改变了世界。在我们的生活中，没有人对问题有一定的免疫力，但我们可以通过努力来实现幸福。

英语作文篇5

　　With the improvement of living standards comes the problem of obesity, which has bothered people for many years. The number of obese people keeps rising as time goes. And the diseases accompanied with obesity have already stood out, such as diabetes, heart diseases and so on.

　　随着生活水平的提高导致了肥胖的问题，这已经困扰人们很多年了。肥胖人数日益上升。肥胖伴随的疾病也已经明显，如糖尿病，心脏病等。

　　Fortunately, more and more people begin to realize the consequences of obesity and hence take various methods to combat it. Some people lose weight by controlling their normal diet or even staying hungry for most of the days. Some adopt operations to get rid of the redundant body fat. Others turn to intensive physical exercises for help.

　　幸运的是，越来越多的人开始认识到肥胖的后果，从而采取多种方法来应对它。一些人通过控制正常饮食或者大部分时间保持饥饿感来减肥。一些人通过手术减轻过多的脂肪。其他人求助于加强体育锻炼。

　　As far as I am concerned, the best way to combat obesity is to form a healthy living habit and to preserve. That is to say, obese people should do exercises regularly on the premise that their basic diet is assured. Besides, they should not do a half-hearted job during the period of losing weight. In summary, only through a good habit and perseverance can obese people prevent themselves from continually getting fat.

英语作文篇6

　　Welcome to Scientific American’s Science Talk, posted on November 10th, 20xx. I’m Steve Mirsky. A short episode today. For which I’ll turn it over now to Scientific American’s associate tech editor Larry Greenemeier:

　　Computers have always been good at doing things that are really complicated for us humans. Things like crunching insanely large numbers and running complex algorithms. On the other hand, computers have a really hard time recognizing a particular voice or face in a crowd, something most kids learn to do before they’re even out of diapers.

　　But things are changing fast. Over the next decade or so, machines will more easily mimic inherently human abilities. And they’ll learn to do it much the same way we do—through experience.

　　“Experience” in this case means computers will be fed data patterns over and over again until they’re able to automatically identify a particular sound or image on their own. This process is called machine learning.

　　To better understand the dawn of intelligent machines and what it means for our daily lives, I spoke with Stephen Hoover, CEO of Xerox’s Palo Alto Research Center, at a recent Intelligent Assistants conference in New York City. Here’s an edited version of our conversation. We start by talking about the ongoing rapid change in machine learning.

　　SH: “That’s what’s really changed over the last five years, is that computers now have the ability to understand in much deeper ways what it is that we’re asking and trying to do…You’re actually starting to see it be embedded into products. So, many of your readers will be familiar with the Nest thermostat. The Nest thermostat is a product with an intelligent agent built into it…So I don’t program a thermostat now, right? It learns from my behaviors what it is that I’m doing, understanding my context and then delivering to me the experience that I want, so it is an intelligent agent that’s built into the product…And more and more you’re going to see these kinds of capabilities built into products.”

　　LG: What role does machine learning play?

　　SH: “You don’t so much program a computer in machine learning in the way you did, which was I broke down a task into a series of steps to do that. It’s that machine learning actually learns, from the data, the right answer. The machine programs itself.”

　　LG: Kind of like the way humans learn as kids.

　　SH: “You show your daughter a car in a book, you show her another one. You say car, car, car. She says car. They learn by labeled data…Did we program our child to recognize a car? I mean, in some sense you did but that’s what machine learning is. You’re going to show the computer a bunch of instances and you’re going to label it, and it’s going to learn how to do it…There’s a core code which is that learning algorithm, and then that’s applied to multiple contexts…We’re switching from where computers helped people to people helping computers.”

　　LG: You can’t talk about machine learning without also mentioning the hardware that makes it possible.

　　SH: “Computers can do things that used to be hard for computers but are easy for humans, like recognizing a smile. That’s because Moore’s Law has enabled it…And Moore’s Law means the doubling of computational power every 18 months. Obviously that means I can write more and more complex software.”

　　Like apps on a smartphone?

　　SH: “In your iPhone, right, which by the way this is as powerful as a Kray supercomputer from 1998 that modeled the weather for the entire world. That’s what you carry around in your pocket…But one of the amazing things in there, think about it. It’s like a $15 chip that has GPS, an accelerometer, a pressure sensor. GPS. You can tell where you’re at in the world to within a meter. Anywhere in the world, for $15. One time buy. It’s phenomenal. So, hardware that senses the world to help then software make better decisions is really important. That’s this whole idea of the Internet of Things…

　　“The Internet of Things, the analogy I make for people is you think about Google. What Google and search did is, it enlarged the human memory, right? I used to have to know everything if I wanted to access it in less than glacial time, make a trip to the library and look up the card catalog. I don’t have to know anything today from a fact viewpoint. When I say know anything, I mean I have to memorize a set of facts. I just go on Google to do it. My mind has been expanded to be as large as all human knowledge. The Internet of Things is about Googling reality.

　　“What I mean is think about it as if my body is now as big as the globe. I want to know what the temperature is in Augusta, Maine. I want to know what the state of pollution is in Beijing. I want to know is there fresh fish today at Whole Foods. Sensors are going to be in the world that are going to tell me those things. And so hardware not only begets the capability to create new kinds of software like machine learning, but also is creating new ways to sense, measure and control the world. And that feedback loop is again one of the big changes that we’re going to see coming.”

　　SM: That’s it for this short Science Talk. In the coming days we’ll have interviews with the authors of three new books about math, horses and Parkinson’s disease, and lots more. Meanwhile, get your science news at our website, www.scientificamerican.com. Where you can also check out the November issue of the magazine, including a long-planned article about how the construction of Egypt's Great Pyramid changed civilization. Who knows, it could come up in a Presidential debate. Although that might go against the grain.

　　And follow us on Twitter, where you’ll get a tweet whenever a new item hits the Web site. Our twitter name is @sciam. For Scientific American’s Science Talk, I’m Steve Mirsky, thanks for clicking on us.

英语作文篇7

　　Language is essential; language is what we use to communicate among others. it is something that joins us just as strongly as it separates us. There are many different “languages” in the world but really they are all bound by certain rules, they all have a format that they follow, all of them have nouns, verbs, tenses, and adjectives.

　　Language is almost like a math, the point of it is that when you speak, you try to reach a conclusion with a different person, and in math you use equations to solve problems and reach conclusions, one is numbers the other is words.

　　语言是必不可少的，语言是我们用来交流的语言。它是一件东西，加入我们的强烈，因为它把我们分开。有许多不同的“语言”，在世界上，但真的都是由一定的规则约束，他们都有，他们遵循的格式，它们都有名词，动词，形容词，动词时态。

　　语言几乎像一道数学，它的一点就是当你说话时，你试着用一个不同的人得出结论，并且在数学里你用方程来解决问题并得出结论，一个是数字，另一个是单词。

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