英語作文

時間：2021-03-26 16:30:58 其他類英語作文我要投稿

【實用】英語作文錦集七篇

　　在日常生活或是工作學習中，許多人都有過寫作文的經歷，對作文都不陌生吧，作文是人們以書面形式表情達意的言語活動。那么你知道一篇好的作文該怎么寫嗎？下面是小編收集整理的英語作文7篇，供大家參考借鑒，希望可以幫助到有需要的朋友。

【實用】英語作文錦集七篇

英語作文篇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

　　親愛的夫人，我們很高興你會來參加我們星期六的。下面是你如何找到我們。我們將有我們的聚會在中央公園。也許你在那兒，不是嗎？

　　當你走出校門，來到街上，你就一直走。然后在交叉路口右轉，你會找到一家醫院。正好相反，7路公共汽車站。坐公共汽車去第四站下車。中央公園就在眼前。我們將在湖上的一條船上有我們的聚會。多么有趣的事情啊。我們會在公園門口等你。

　　你的，

　　李洪

英語作文篇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、假使你看到了一個公司的招聘廣告。

　　2、介紹自己的背景材料(如學歷、專業、特長、愛好、等等)。

　　3、說明有強烈的應聘愿望。

　　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

英語作文篇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.

　　在英語中,有關顏色的詞可以反映出不同的情緒。藍色和灰色意味著壞心情和紅色意味著活力。一項新的研究發現,人們很容易受到產品不同顏色的影響。顏色與心情例如,當學生看到黑板上的紅色,他們覺得不放松。包裝是綠色的糖果往往不是很暢銷,食物不會用藍色來包裝。顏色與人的`情緒有關這是規則,所以聰明的制造商會利用這個規則去抓住人們的注意力。他們選擇顏色去取悅客戶,創造更多的利潤。

英語作文篇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.

　　說到幸福的話題，每個人都有自己的解釋。但一個令人鼓舞的想法是，幸福不是沒有問題，而是能夠處理它們，這揭示了幸福的本質。只有當我們敢于正視問題并發展解決問題的能力時，我們才能獲得幸福。不可否認的是，我們會在生活中遇到很多問題，但這并不意味著我們被剝奪了幸福。很多人都為我們樹立偉大的例子：曼德拉被判處有期徒刑27年，但他是樂觀的，最后成為反對種族隔離的成功。史提夫的工作被他的親生父母拋棄了，但還是退出了大學，但還是設法改變了世界。在我們的生活中，沒有人對問題有一定的免疫力，但我們可以通過努力來實現幸福。

英語作文篇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.

　　隨著生活水平的提高導致了肥胖的問題，這已經困擾人們很多年了。肥胖人數日益上升。肥胖伴隨的疾病也已經明顯，如糖尿病，心臟病等。

　　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.

　　幸運的是，越來越多的人開始認識到肥胖的后果，從而采取多種方法來應對它。一些人通過控制正常飲食或者大部分時間保持饑餓感來減肥。一些人通過手術減輕過多的脂肪。其他人求助于加強體育鍛煉。

　　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.

英語作文篇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.

英語作文篇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.

　　語言是必不可少的，語言是我們用來交流的語言。它是一件東西，加入我們的強烈，因為它把我們分開。有許多不同的“語言”，在世界上，但真的都是由一定的規則約束，他們都有，他們遵循的格式，它們都有名詞，動詞，形容詞，動詞時態。

　　語言幾乎像一道數學，它的一點就是當你說話時，你試著用一個不同的人得出結論，并且在數學里你用方程來解決問題并得出結論，一個是數字，另一個是單詞。

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