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考研英语2011年小作文(11年考研英一作文)

2023-02-22 07:24:05英语口译(翻译硕士)1

11年考研英一作文

考研英语二的作文不只考图表类。

备选题包括:

1、考生根据所给情景写出一篇约100词(标点符号不计算在内)的应用性短文,包括私人和公务信函、备忘录、报告等。

2、考生根据所提供的汉语文章,用英语写出一篇80~100词的该文摘要。

考生在答题卡2上作答。共10分。

B节:要求考生根据所规定的情景或给出的提纲,写出一篇150词以上的英语说明文或议论文,提供情景的形式为图画、图表或文字。

考生在答题卡2上作答。共15分。

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2011考研英语作文

2011广州中考英语作文体裁包含了记叙文,说明文,读后感等形式。有400字作文,600字作文,800字作文。

2011考研英语一满分作文

My new year's determination is very easy, only three piece of advice.

At first, I want to get good grade. Next, I have studied hard as my math is not good, so I have practiced everyday. Further, I want to take my dance lesson. Because I really love dance. I have already studied five dances since 2011.

I just have been a bus spotter. I have not yet ever liked bus like now. I will spend some money for bus model. These are my new year’s resolution, I hope it,really need to work hard,I think I can be successful. I will never give up.

考研英语一11年作文

why do you want to study? if you have 100 million , would you study too?

英语一2011年作文

In a 2011 report from the renowned consulting firm McKinsey, "Big data" is regarded as "the next frontier for innovation, competition and productivity". You may have heard this buzzword for numerous times and even have been astonished by a variety of its applications from the marketing case "beer and diaper" to the Google Flutrends. Admittedly, big data technology is profoundly changing the modern business and industry. However, I want to remind you as well as myself of "the right we have forgotten", as big data pioneer Mayer-Sch?nberger puts it.

With big data technology permeating gradually, your data, including browser history, tweets, or even credit card payment record, will tag you an ID, on which your character is based. For instance, IBM experts recently claim that they can abstract a person's personal information like personality, hobbies by means of just analyzing 150 tweets he or she sent. Another example we are familiar with is online shopping. Websites like Taobao and Amazon all have data analytic group focusing on machine learning to promote commodities to customers automatically and intelligently. It was once talked with popularity that a father received a can of milk powder as a gift from an online shopping website, but he was confused for he already had a daughter who was 18 years old. Out of curiosity, he asked the website servants why they had sent him milk powder. It turns out that this seemingly stupid gift decision is based on his daughter's credit card records on the website, where she had looked up to and bought some baby supplies in the last few months, and she was pregnant with his father not knowing it. In the future, there is no doubt that your data will accompany you with your sorrows as well as joys, whether you like it or not

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