初一 的英语读书笔记
2个回答
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1.这个经常下雨。(两种)
There is often rain./It often rains here.
2.我们很惊讶地在火车站看到西蒙。
We are surprised to see Simon at the train station.
3.沿着这条路走,到红绿灯处,你就会看到那撞楼。
Go along this street to the traffic light,then you will see that building.
4.老师来了,请停止讲话。
Here comes the teacher,please stop talking.
5.三个穿警察制服的人从车里出来。
Three man in police uniform get out of the car.
6.突然一个大个子把他推进了厢式货车的后面。
Suddenly a tall man pull him into the back of the van.
7.杰尔现在坐在我左边。
Jill is sitting on my left now.
8.在一字路口向右转,你会发现入口处就在你前面。
Turn right to the cross, and you will find the entrance before yourself.
9.这个强盗从大厦跑了出去。
This robber runs out of the building.
10.我们走不同的路线好吗?
Shall we take different routes?
11.一个穿红色衣服的女孩站在街道的拐弯处。
A girl in red is standing at the corner of the street.
12.当交通灯是红色是不能过马路。
You can't go across the road when the traffic light is red.
13.学英语不是很难。
It isn't too difficult to learn English.
14.明天我们去公园好吗?
Shall we go to the park tomorrow?
15.她认为天要下雨了。
She thinks it is going to rain tomorrow.
16.互联网上有成千上万的网站。
There are thousands of webs on the Internet.
17.我们打算在星期六进行烧烤。
We are going to have a barbecue on Saturday.
18.你们什么时候举行聚会。
When are you going to have your party?
19.大部分学生能准时到校。
Most of the students can get to school on time.
20.他邀请我们去吃晚饭。
He invited us to have dinner
21.你可以乘地铁去中国银行。
You can go to the Bank of China by underground.
There is often rain./It often rains here.
2.我们很惊讶地在火车站看到西蒙。
We are surprised to see Simon at the train station.
3.沿着这条路走,到红绿灯处,你就会看到那撞楼。
Go along this street to the traffic light,then you will see that building.
4.老师来了,请停止讲话。
Here comes the teacher,please stop talking.
5.三个穿警察制服的人从车里出来。
Three man in police uniform get out of the car.
6.突然一个大个子把他推进了厢式货车的后面。
Suddenly a tall man pull him into the back of the van.
7.杰尔现在坐在我左边。
Jill is sitting on my left now.
8.在一字路口向右转,你会发现入口处就在你前面。
Turn right to the cross, and you will find the entrance before yourself.
9.这个强盗从大厦跑了出去。
This robber runs out of the building.
10.我们走不同的路线好吗?
Shall we take different routes?
11.一个穿红色衣服的女孩站在街道的拐弯处。
A girl in red is standing at the corner of the street.
12.当交通灯是红色是不能过马路。
You can't go across the road when the traffic light is red.
13.学英语不是很难。
It isn't too difficult to learn English.
14.明天我们去公园好吗?
Shall we go to the park tomorrow?
15.她认为天要下雨了。
She thinks it is going to rain tomorrow.
16.互联网上有成千上万的网站。
There are thousands of webs on the Internet.
17.我们打算在星期六进行烧烤。
We are going to have a barbecue on Saturday.
18.你们什么时候举行聚会。
When are you going to have your party?
19.大部分学生能准时到校。
Most of the students can get to school on time.
20.他邀请我们去吃晚饭。
He invited us to have dinner
21.你可以乘地铁去中国银行。
You can go to the Bank of China by underground.
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Yesterday, I read a book, the name of the book is《Dr Bethune》.
Dr Bethune was a famous doctor From Canada. In 1938, he came to China. At that time , China was at war with Japan. He worked as a doctor in the Chinese army and saved many soldiers’ lives. He worked very hard and became sick. Dr Bethune died in 1939. He was only 49 years old. He was a good man and we remember him today.
I think the book is very, very good!
Written by Wu Qingxiang
Mar. 31,2006
How to do research
-------reading after a science paper
These days , I am busy preparing my dissertation which is about web usage mining . I read some English papers and learnt much from them . And now , I want to say something about a paper titled “Web Usage Mining :Discovery and Applications of Usage Patterns from Web Data”.
This is the first English paper I read about dissertation and gave me great help .
This paper is a review about web usage mining. It introduced web usage mining in detail . Although it is a little old for it was published in 2000 , its contents are very useful today . It is organized according to the sequence of web usage mining and the six main parts are introduction which tells me what is web usage mining , the sources and abstraction of web data , the three steps of web usage mining , taxonomy and project survey , websift overview , privacy issues . The third and fourth parts are most important . It had a list of existing project about web usage mining which I saw many times in other papers , but this paper is the one creating this list . Besides , it has been referred for more then twenty times . As we all know that , the higher the referred number is , the more important the paper is , so I consider this paper to be an important and successful one in this region.
In my opinion , the success of this paper dues to three reasons . The first reason is the profound computer knowledge owned by the authors . Web usage mining relates to many subjects , such as artificial intelligence , ontology , semantic analysis , but the most basic knowledge is computer science . The four authors are all professors of department of computer science and engineering in university of Minnesota . For myself , I am not major in computer science and I am not very good at computers , so I feel a little difficult to understand technologies used in this region.
Dr Bethune was a famous doctor From Canada. In 1938, he came to China. At that time , China was at war with Japan. He worked as a doctor in the Chinese army and saved many soldiers’ lives. He worked very hard and became sick. Dr Bethune died in 1939. He was only 49 years old. He was a good man and we remember him today.
I think the book is very, very good!
Written by Wu Qingxiang
Mar. 31,2006
How to do research
-------reading after a science paper
These days , I am busy preparing my dissertation which is about web usage mining . I read some English papers and learnt much from them . And now , I want to say something about a paper titled “Web Usage Mining :Discovery and Applications of Usage Patterns from Web Data”.
This is the first English paper I read about dissertation and gave me great help .
This paper is a review about web usage mining. It introduced web usage mining in detail . Although it is a little old for it was published in 2000 , its contents are very useful today . It is organized according to the sequence of web usage mining and the six main parts are introduction which tells me what is web usage mining , the sources and abstraction of web data , the three steps of web usage mining , taxonomy and project survey , websift overview , privacy issues . The third and fourth parts are most important . It had a list of existing project about web usage mining which I saw many times in other papers , but this paper is the one creating this list . Besides , it has been referred for more then twenty times . As we all know that , the higher the referred number is , the more important the paper is , so I consider this paper to be an important and successful one in this region.
In my opinion , the success of this paper dues to three reasons . The first reason is the profound computer knowledge owned by the authors . Web usage mining relates to many subjects , such as artificial intelligence , ontology , semantic analysis , but the most basic knowledge is computer science . The four authors are all professors of department of computer science and engineering in university of Minnesota . For myself , I am not major in computer science and I am not very good at computers , so I feel a little difficult to understand technologies used in this region.
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