【听力提分】清晰记录托福听力中的数字 你需注意6个细节

托福听力的进行过程中,数字的听力也是一项考察的内容。但是在一整篇的托福听力文章中,数字作为一个小小的细节往往会被我们忽视。那么,在听力的进行中,我们又该如何重视这些数字内容的清晰记录呢?

【听力提分】清晰记录托福听力中的数字 你需注意6个细节图1

(1)基本训练。电话号码是由0~9这十个数字组成的,因此考生一定要对这十个数字的念法非常熟悉。许多听力教材提供了数字的训练音带,大家找一本合适自己的进行练习即可。当训练到一定程度后,建议进行“自言自语”式的训练,即自己快速地、无意识地说一些数字,边说边记,以此来训练对数字的敏感能力,这是最关键的一步。

(2)“0”在英语中有许多表示方法,如zero,nought, null, nil, nothing等,应该注意的是:英国英语与美国英语在念法上有所不同,在TOEFL考试中,“0”常念作“zero”,但在考试中“0”常念作“nought”(V35的section 4);而在电话号码中“0”读作字母”Oh”,就像在单词“go”中的发音。

(3)读电话号码总的规则是:国家代号、地区代号和具体号码分开来读,比如中国北京的一个电话读作86,10,87654321,对于一个特定地区的电话,一般来说只有7位或8位。7位的号码,读的时候前三位一组连在一起,后四位一组连在一起,中间有一个停顿,比如6254598读作six two five,four five nine eight;8位的号码,可以四个一组来读,考生可参看本节后面的一些典型例句。

【听力提分】清晰记录托福听力中的数字 你需注意6个细节图2

(4)两个相同数字或三个相同的数字可以用double或triple来代替,比如2246555可以读作double two four,six triple five。

(5)末尾出现三个零,可以按“千”来发音,如9796000读作nine seven nine six thousand

(6)在考试中,多于5位数的电话号码一般来说会重复说一遍,而且分组之间的短暂停顿也提供了一个思考的时间。考生只要经过一定的训练,再注意一下本节所述的内容,电话号码的问题就解决了。

【汇总贴】SAT考试考场详细介绍(亚洲考场+北美考场)

大陆考生如果想考 SAT 的话会选择临近的地区或者其他亚洲国家,如香港、澳门、台湾、韩国、新加坡和日本等。当然也可以选择北美考场。

【汇总贴】SAT考试考场详细介绍(亚洲考场+北美考场)图1

Contents(点击传送门进入)

1

SAT去哪考最靠谱?全球考场看这里

传送门
2

亚洲 SAT 六大考场最强介绍贴,送给2018备考的你!

传送门
3

SAT北美考场

传送门
4

【SAT考场】SAT香港考场规则及考试注意事项

传送门
5

SAT简介及新加坡考点地址

传送门
6

【SAT考场】韩国SAT考场线路及信息全知道

传送门
7

考生亲述:美国纽约SAT考场20条细则

传送门
8

【考试指南】SAT考场上6大细节性问题盘点

传送门
9

【SAT考场】SAT考场问题大集合、常见问题Q&A

传送门

英美菜谱常用分类词汇表

  博普外国语培训学校是集雅思、托福、基础英语培训

  等业务为一体的国内著名教育机构。

  其它英语学习资料请至

  博普网站:www.topedu.cn

  博普论坛:bbs.topedu.cn

  博普博客:http://blog.sina.com.cn/top1221

  选择博普,选择你自己的未来!

  1 烹调方式 Cooking Method

  fried… 煎…

  deep fried… 炸(干炸)…

  quick-fried/stir-fried…(爆)炒…

  braised… 炖(烧)…

  stewed… 闷(炖、煨)…

  steamed…蒸…

  smoked… 熏…

  roast… 烤…

  grilled… 烤…

  crisp… 香酥…

  spicy… 麻辣…

  caramelized… 拔丝…

  toffee…拔丝…

  dices… …丁

  mashed… …馅、泥…

  in brown sauce 红烧… …

  in soy sauce 酱汁… …

  in hot sauce 干烧… …

  in tomato sauce 茄汁… …

  in black bean sauce 豆瓣… …

  in rice wine 糟溜… …

  with fish flavor 鱼香… …

  with sweet and sour flavor 糖醋… …

  in soup 汆… …

  shreds …丝 …

  slices …片 …

  cubes …块

  2 调味品 Condiments

  table salt 食盐

  sugar 白糖

  cheese 奶酪/干酪

  vinegar 醋

  butter 黄油

  pepper 胡椒

  soy sauce 酱油

  cream 奶油

  curry 咖哩

  mustard 芥茉

  tomato sauce 蕃茄酱

  honey 蜂蜜

  gravy 肉汁

  jam 果酱

  cube sugar 方糖

  ginger 姜

  garlic 大蒜

  shallot 大葱

  mayonnaise 蛋黄酱

  sweet soybean paste 甜面酱

  3 汤类 Soup

  clear soup/thin soup/consomme 清汤

  pottage/thick soup 浓汤

  broth 肉汤

  beef soup 牛肉汤

  tomato soup 西红柿汤

  cabbage soup 洋白菜汤

  vegetable soup 菜汤

  chicken soup 鸡汤

  creamed chicken soup 奶油鸡汤

  fish and tomato soup 红鱼汤

  creamed ham soup 奶油火腿汤

  beef balls soup 牛肉丸子汤

  creamed prawn soup 奶油虾汤

  beef and vegetable soup 牛肉蔬菜汤

  creamed spinach soup 奶油菠菜汤

  hot and sour soup 酸辣汤

  minced chicken and corn pottage 鸡茸粟米汤

  curry chicken soup 咖哩鸡汤

  4 主食 Staple food

  中餐主食Chinese Food

  rice gruel/porridge 大米粥

  millet gruel 小米粥

  steamed bun/steamed bread 馒头

  steamed twisted roll 花卷

  meat pie 馅饼

  pancake 煎饼

  meatbun/steamed bread with stuffings 包子

  dumpling 饺子

  wonton/dumpling soup 馄饨

  noodles 面条

  sichuan style noodles with peppery sauce 担担面

  fried noodles 炒面

  stretched noodles 拉面

  noodles with soup 汤面

  noodles with soybean paste 炸酱面

  beef noodles 牛肉面

  spring roll春卷

  rice noodles 米线

  sweet dumpling 元宵

  egg fried rice 蛋炒饭

  deep-fried dough sticks 油条

  soybean milk 豆浆

  muffin 松糕/饼

  cruller 油饼

  5 西餐主食Western Food

  bread 面包

  toast 烤面包/土司

  rye bread 黑麦面包

  bun 小圆面包

  hamburger 汉堡包

  bacon cheeseburger 腊肉奶酪汉堡包

  sandwich 三明治

  tuna sandwich 金枪鱼三明治

  hotdog 热狗

  biscuits/crackers/cookies 饼干

  pancake 烤饼/薄饼

  pizza 比萨饼

  meat-pie 肉馅饼

  barley gruel 大麦粥

  oatmeal 燕麦粥

  French fries 炸薯条

  pudding 布丁

  macaroni 通心面

  spaghetti 意大利面条

  6 主菜 Entrees

  西餐主菜Western Entrees

  beef steak 牛排

  (rare) 半熟的(牛排)

  roast beef 烤牛排

  (medium-rare) 适中偏生的(牛排)

  curry beef 咖哩牛排 (

  medium) 适中的(牛排)

  real cutlet/veal chop 小牛排

  (medium-well done) 适中偏熟的(牛排)

  roast veal 烤小牛排

  (well done) 熟透的(牛排)

  spiced beef 五香牛排

  braised beef 焖牛排

  roast mutton 烤羊肉

  lamb chop 羊排

  porp chop 猪排

  sliced ham 火腿片

  roast turkey 烤火鸡

  roast chicken 烤油鸡

  curried chicken 咖哩鸡

  roast duck 烤鸭

  smoked carp 熏鲤鱼

  sardine 沙丁鱼

  fried fish 炸鱼

  fried eggs 煎鸡蛋

  boiled eggs 煮鸡蛋

  poached eggs 荷包蛋

  omelet/omelette 摊鸡蛋/蛋卷

  pickled cucumber 酸黄瓜

  salad 色拉

  salad dressing 色拉酱

  chicken salad 鸡色拉

  French 法式(色拉酱)

  vegebable salad 素菜色拉

  Italian 意大利式(色拉酱)

  ham salad 火腿色拉

  Blue cheese 蓝乳酪式(色拉酱)

  Russian 俄式(色拉酱)

  backed potato 烤土豆

  mashed potato 土豆泥

  7 中餐主菜Chinese Dishes

  bean curb 豆腐

  beansprouts 豆芽

  steamed chicken 清蒸鸡

  braised chicken 焖鸡

  Beijing roast duck 北京烤鸭

  preserved eggs 松花蛋

  braised pork 红烧扣肉

  red-cooked pork 红烧肉

  sweet-sour pork 糖醋肉

  broiled beef slices 烤牛肉片

  chop suey 炒杂碎

  stir-fried liver 炒猪肝

  sweet-and-sour fish 糖醋鱼

  meat balls 肉丸子

  fried prawns 炸大虾

  steamed turtle 炖甲鱼

  8 甜点 Dessert

  cake蛋糕

  cream cake 奶油蛋糕

  ice-cream 冰淇淋

  pie 馅饼

  vanilla ice-cream 香草冰淇淋

  shortcake 松饼

  chocolate ice-cream 巧克力冰淇淋

  tart 果馅饼

  strawberry ice-cream 草霉冰淇淋

  apple pie 苹果馅饼

  ice sucker 冰棍

  jello 冰糕

  pastry 点心

  yam 甜薯

  sweet potato 番薯

  raisin 葡萄干

  9 DRINKS

  软饮料非酒精饮料 soft drinks/beverages

  coffee 咖啡

  black coffee 不加牛奶的咖啡/清咖啡

  decaffeinated coffee 无咖啡因的咖啡

  white coffee 牛奶咖啡

  coffee with cream and sugar 加奶加糖的咖啡

  instant coffee 速溶咖啡

  plain coffee 纯咖啡

  milk 牛奶 tea 茶

  green tea 绿茶

  black tea 红茶

  jasmine tea 茉莉花茶

  tea bags 袋泡茶

  yogurt 酸奶

  cocacola/coke/cocoa 可口可乐

  7-up 七喜

  Pepsi Cola 百事可乐

  Diet Pepsi 无糖百事可乐

  Sprite 雪碧

  fruit juice 水果汁

  lemonade 柠檬汁

  orangeade 桔子汁

  mineral water 矿泉水

  soda water 汽水

  fresh orange juice 鲜桔子汁

  Fruit Punch 水果混合饮料

  beer 啤酒

  light beer 淡啤酒

  draught beer 扎啤

1-4月雅思口语Part2话题高分范文-an interesting house or apartment you visited

1-4

相关推荐雅思考官口语P2经典话题9分范文40篇汇总(大杀四方)

1-4月雅思口语Part2话题高分范文:an interesting house or apartment you visited图1

传送:1-4月雅思口语题库part2话题高分范文汇总(输出爆表)

新晋话题:有趣的住家Describe an interesting house or apartment you visited.

You should say:

Where this place is

What it is like

When you want to live in there

示意范文:

I have visited many houses and apartments, and I liked most of them.But here,
I would like to talk about a house, which I find very interesting.This is the
house of my aunt and uncle, who live in Chandigarh.

It is a double story house with four bedrooms, one kitchen, one hall and one
drawing room.I find the house very interesting, because the total energy needed
to run the house is obtained from solar panels.They have set up solar panels
with a cost of 10000 yuan and now all their air conditioners and geysers run on
solar panels.They also do not have to worry about power cuts because they are
generating their own power from solar panels.Otherwise also that house is very
energy efficient. During the daytime there’s so much light from the windows that
they do not need to turn on the lights.The house is so well ventilated that they
do not need to switch on the fan also at times.

My uncle was telling us that now they have to pay the electricity bill of 20
yuan per month, whereas earlier it was about 120 yuan a month.The maintenance
cost of the solar panels is quite less.They have decorated the house with
minimalistic approach, and there is no clutter of unnecessary furniture.The
woodwork is also very simple, which looks very good and is evergreen. I would
definitely like to live in such a house one day.

【出品】雅思阅读机经真题解析-Life code-unlocked

小站独家,雅思阅读机经真题解析。一切患有雅思阅读刷题强迫症的烤鸭,请看这里。小站精心整理了一批雅思阅读机经真题。如果你的剑桥雅思阅读已是烂熟于心,那么这一系列的雅思阅读机经真题真的很适合你,搭配上绝对原创的讲解,还有全文的中文翻译,这等阅读大餐,还等什么!

A

On an airport shuttle bus to the Kavli Institute for Theoretical Physics in
Santa Barbara, Calif, Chris Wiggins took a colleague’s advice and opened a
Microsoft Excel spreadsheet. It had nothing to do with the talk on biopolymer
physics he was invited to give. Rather the columns and rows of numbers that
stared back at him referred to the genetic activity of budding yeast.
Specifically, the numbers represented the amount of messenger RNA (mRNA)
expressed by all 6,200 genes of the yeast over the course of its reproductive
cycle. “It was the first time I ever saw anything like this,” Wiggins recalls of
that spring day in 2002. “How to make sense of all these data?”

B

Instead of shirking from this question, the 36-year-old applied mathematician
and physicist at Columbia University embraced it-and now six years later he
thinks he has an answer. By foraying into fields outside his own, Wiggins has
drudged up tools from a branch of artificial intelligence called machine
learning to model the collective protein-making activity of genes from
real-world biological data. Engineers originally designed these tools in the
late 1950s to predict output from input. Wiggins and his colleagues have now
brought machine learning to the natural sciences and tweaked it so that it can
also tell a story—one not only about input and output but also about what
happens inside a model of gene regulation, the black box in between.

C

The impetus for this work began in the late 1990s, when high-throughput
techniques generated more mRNA expression profiles and DNA sequences than ever
before, “opening up a completely different way of thinking about biological
phenomena,” Wiggins says. Key among these techniques were DNA microarrays, chips
that provide a panoramic view of the activity of genes and their expression
levels in any cell type, simultaneously and under myriad conditions. As noisy
and incomplete as the data were, biologists could now query which genes turn on
or off in different cells and determine the collection of proteins that give
rise to a cell’s characteristic features- healthy or diseased.

D

Yet predicting such gene activity requires uncovering the fundamental rules
that govern it. “Over time, these rules have been locked in by cells,” says
theoretical physicist Harmen Bussemaker, now an associate professor of biology
at Columbia. “Evolution has kept the good stuff.” To find these rules,
scientists needed statistics to infer the interaction between genes and the
proteins that regulate them and to then mathematically describe this network’s
underlying structure-the dynamic pattern of gene and protein activity over time.
But physicists who did not work with particles (or planets, for that matter)
viewed statistics as nothing short of an anathema. “If your experiment requires
statistics,” British physicist Ernest Rutherford once said, “you ought to have
done a better experiment.”

E

But in working with microarrays, “the experiment has been done without you,”
Wiggins explains. “And biology doesn’t hand you a model to make sense of the
data.” Even more challenging, the building blocks that make up DNA, RNA and
proteins are assembled in myriad ways; moreover, subtly different rules of
interaction govern their activity, making it difficult, if not impossible, to
reduce their patterns of interaction to fundamental laws. Some genes and
proteins are not even known. “You are trying to find something compelling about
the natural world in a context where you don’t know very much,” says William
Bialek, a biophysicist at Princeton University. “You’re forced to be agnostic.”
Wiggins believes that many machine-learning algorithms perform well under
precisely these conditions. When working with so many unknown variables,
“machine learning lets the data decide what’s worth looking at,” he says.

F

At the Kavli Institute, Wiggins began building a model of a gene regulatory
network in yeast-the set of rules by which genes and regulators collectively
orchestrate how vigorously DNA is transcribed into mRNA. As he worked with
different algorithms, he started to attend discussions on gene regulation led by
Christina Leslie, who ran the computational biology group at Columbia at the
time. Leslie suggested using a specific machine-learning tool called a
classifier. Say the algorithm must discriminate between pictures that have
bicycles in them and pictures that do not. A classifier sifts through labeled
examples and measures everything it can about them, gradually learning the
decision rules that govern the grouping. From these rules, the algorithm
generates a model that can determine whether or not new pictures have bikes in
them. In gene regulatory networks, the learning task becomes the problem of
predicting whether genes increase or decrease their protein-making activity.

G

The algorithm that Wiggins and Leslie began building in the fall of 2002 was
trained on the DNA sequences and mRNA levels of regulators expressed during a
range of conditions in yeast-when the yeast was cold, hot, starved, and so on.
Specifically, this algorithm-MEDUSA (for motif element discrimination using
sequence agglomeration)—scans every possible pairing between a set of DNA
promoter sequences, called motifs, and regulators. Then, much like a child might
match a list of words with their definitions by drawing a line between the two,
MEDUSA finds the pairing that best improves the fit between the model and the
data it tries to emulate. (Wiggins refers to these pairings as edges.) Each time
MEDUSA finds a pairing, it updates the model by adding a new rule to guide its
search for the next pairing. It then determines the strength of each pairing by
how well the rule improves the existing model. The hierarchy of numbers enables
Wiggins and his colleagues to determine which pairings are more important than
others and how they can collectively influence the activity of each of the
yeast’s 6,200 genes. By adding one pairing at a time, MEDUSA can predict which
genes ratchet up their RNA production or clamp that production down, as well as
reveal the collective mechanisms that orchestrate an organism’s transcriptional
logic.

Questions 1-6

The reading passage has seven paragraphs, A-G

Choose the correct heading for paragraphs A-G from the list below.

Write the correct number, i-x, in boxes 1-6 on your answer sheet.

List of Headings

i. The search for the better-fit matching between the model and the gained
figures to foresee the activities of the genes

ii. The definition of MEDUSA

iii. A flashback of a commencement for a far-reaching breakthrough

iv. A drawing of the gene map

v. An algorithm used to construct a specific model to discern the appearance
of something new by the joint effort of Wiggins and another scientist

vi. An introduction of a background tracing back to the availability of
mature techniques for detailed research on genes

vii. A way out to face the challenge confronting the scientist on the
deciding of researchable data

viii. A failure to find out some specific genes controlling the production of
certain proteins

ix. The use of a means from another domain for reference

x. A tough hurdle on the way to find the law governing the activities of the
genes

Example: Paragraph A iii

1 Paragraph B

2 Paragraph C

3 Paragraph D

4 Paragraph E

5 Paragraph F

6 Paragraph G

Questions 7-9

Do the following statements agree with the information given in Reading
Passage 1?

In boxes 7-9 on your answer sheet, write

TRUE if the statement is true

FALSE if the statement is false

NOT GIVEN if the information is not given in the passage

7. Wiggins is the first man to use DNA microarrays for the research on
genes.

8. There is almost no possibility for the effort to decrease the patterns of
interaction between DNA, RNA and proteins.

9. Wiggins holds a very positive attitude on the future of genetic
research.

Questions 10-13

Summary

Complete the following summary of the paragraphs of Reading Passage, using No
More than Three words from the Reading Passage for each answer. Write your
answers in boxes 10-13 on your answer sheet.

Wiggins states that the astoundingly rapid development of techniques
concerning the components of genes aroused the researchers to look at 10 from a
totally new way. 11 is the heart and soul of these techniques and no matter what
the 12 were, at the same time they can offer a whole picture of the genes’
activities as well as 13 in all types of cells. With these techniques scientists
could locate the exact gene which was on or off to manipulate the production of
the proteins.

(转第二页)

【托福备考基础要点】十大重点托福语法概念(一)

熟悉托福语法可以帮助考生有效的完成托福阅读以及写作部分。下文中会为大家罗列一些语法的重点概念。

【托福备考基础要点】十大重点托福语法概念(一)图1

1.代词指代

在英语中,为使表达简洁,常用代词指代句中出现过的名词。这个代词要和指代对象在人称和数方面保持一致。如出现Mary,则代词只能是she(主格)或her(宾格);如指代对象是students,则代词只能是they(主格)或them(宾格)。当然,这只是代词指代的基本常识。

2.主谓一致

在英语句子里,谓语受主语支配,其动词必须和主语在人称和数上保持一致,这就叫主谓一致。寻其规律,大致可归纳为三个原则,即语法一致、逻辑意义一致和就近一致原则。主谓一致是托福考试最经常考的语法内容之一。要认清句子里的主语和谓语。复数主语后面一定要跟复数谓语;单数主语后面要跟单数谓语。介词短语不影响主谓一致(一些特殊情况除外)。

3.形容词

形容词修饰名词或代词,说明事物或人的性质或特征。通常,可将形容词分成性质形容词和叙述形容词两类,其位置不一定都放在名词前面。形容词是修饰回答像“what
kind of”或“which?”或“whose?”这类的问题。不要混淆形容词和副词,副词通常是以—ly结尾的,而极少形容词以—ly结尾。

1)以—ly结尾的形容词:friendly,deadly,lovely,lonely,likely,lively,ugly,brotherly.

2)以-ly结尾既为形容词,也为副词:daily,weekly,monthly,yearly,early.

【托福备考基础要点】十大重点托福语法概念(一)图2

4.副词

副词通常修饰动词,形容词,副词或其他结构。(它也可以修饰另一个副词或一个形容词,但是这种情况征托福考试里是比较少见的。)副词经常回答“how?”

A、正确的位置:

1)在动词之前;在be动词、助动词之后。

2)有多个助动词时,副词一般放在第一个助动词后。

3)方式副词well,badly,hard等只放在句尾。He speaks English well.

B、其他注意:

1)副词very可修饰形容词,但不能修饰动词。

(错)I very like English.

(对)I like English very much.

2)副词enough要放在形容词的后面,形容词enough放在名词前后都可。

5.比较

当比较两个事物时,用-er形式(bigger)或者用修饰词less和more。当比较多于两个以上的事物时,用-est形式(biggest)或者做most(most
amazing)和least这样的词。

继续阅读:十大重点托福语法概念(二)

托福备考:如何在托福写作中善用复杂句式?

  1)使用同义词。

  比如以下的一些写作高频词汇的同义词,这些词出现的尤为频繁。要学会用同义词来替换它们。

  在综合写作中教授说话不能总是用think,还可以用believe,

  consider, deem, figure out。在托福独立写作中表示近来的时间状况用nowadays,还可以用recently,

  currently, at present, in recent years, these days

  再比如表示重要的词有important,一篇文章如果要求描写某物重要,不能只写important这一个词吧,和它类似的还有necessary,

  crucial, essential, vital, significant , indispensable, momentous,

  如果还需要再变化,就可以用下面的改变词性的方法。

  2)改变词性。

  n.→ Adj. 比如:important改成be of

  importance

  n. → v. When we look at a comparison

  between A and B…

  When we compare A and B…

  Adj. → n.

  There are a variety of solutions to

  the problem.

  There are various solutions to the

  problem.

  3)更换使用不同的承接词。

  承接词不仅连接段落和段落,还连接句子和句子。熟识一些常用的承接词对写作将会有极大的作用。

  because of → due to, owing to,

  because, as, since, for

  but → however, nevertheless,

  nonetheless, whereas

  so → therefore, hence, thus,

  consequently

  4)形容词的逆向表达。

  在某些形容词上进行修改,会达到非比寻常的效果。

  Eg: not as easy as…→more difficult

  than…

  Not uncommon→common

  The cheapest → the least

  expensive

  其次,是句型的使用。在新托福写作部分,评分标准中非常重要的一项就是句型结构,要求句型结构做到丰富多变。例如下面的典型美句,就可以让你的文章加分:

  1)it句

  It is delightful to have friends from

  distant lands.

  It is undeniable that…

  It is obvious that…

  2)双否句

  it is by no means uncommon to

  find…

  …never fails to …

  3)倒装句

  So severe is this problem that we

  have no alternative but to take some feasible measures to deal with

  it.

  Only through education can we rise in

  the world.

  此外,美国人的另一特点就是注重具体内容。即要求我们写的作文具体化。新托福写作的宗旨在于communicating

  information。中文经过长久的发展,追求的是含蓄、抽象,用最少的话来表达深刻的思想,但美国人思维却是具体的。如果按照中国人思维写作,美国人会无法领会,我们的托福作文也就只能得低分。

  美国人托福思维还体现在综合写作中。综合写作中的阅读部分就是这种思维,听力和阅读结构相似,而内容相反。可见,只要我们能够做到用美国人的思维、结构看问题,搭出大骨架,从生活中选取丰富的素材使之具体、丰满,再辅之以闪光的词汇句型、修辞手法,要拿新托福写作高分就不再是遥不可及的梦想。努力总会有回报的!

【托福写作备考】托福独立写作观点分析及满分范文汇总

托福写作备考的过程中,很多同学都会在网上去找一些高分范文作文自己的参考资料。而在阅读这些资料的时候,大家往往都会更为关注一些,文章中的用词和语句。那么,是否有细心分析一下托福高分文章的写作观点呢?在以下内容中,就为大家带来托福独立写作观点分析及范文汇总,希望能为你的托福备考带来一些帮助咯。

【托福写作备考】托福独立写作观点分析及满分范文汇总图1
托福备考:独立写作观点分析及范文汇总

【改错精选120练】GMAT官方讲解SC难点实例分析(一百十九练)

GMAT句子改错题(sentence
correction),是整个GMAT考试中对考生英语语法能力考查要求最高的题型,也往往是中国学生最为头疼的一类题目。没有扎实的语法基础和一定的逻辑分析能力,想要做好句子改错题难度极高。如何提升GMAT句子改错题的解题能力?下面小编就为大家整理了一些经典例题,结合实例分析为大家讲解GMAT句子改错题的解题思路和方法技巧。

【改错精选120练】GMAT官方讲解SC难点实例分析(一百十九练)图1

实例题目:

George Sand (Aurore Lucile Dupin) was one of the first European writers to
consider the rural poor to be legitimate subjects for literature and portray
these
with sympathy and respect in her novels.

(A) to be legitimate subjects for literature and portray these

(B) should be legitimate subjects for literature and portray these

(C) as being legitimate subjects for literature and portraying them

(D) as if they were legitimate subjects for literature and portray them

(E) legitimate subjects for literature and to portray them

【改错精选120练】GMAT官方讲解SC难点实例分析(一百十九练)图2

选项分析:

(A)to be legitimate subjects for literature and portray these

【错误1】 代词指代:GMAT所考察的标准书面英语中,代词this、

that、these、

those如果单独使用(“those students”、“that
of……”这样的结构就属于不单独使用),其指代不明,因为书面语不能用手去指这指那。

【错误2】 句子意思:固定搭配除外,不定式“to do”结构表达“目的”或“将要”的含义。因此“to
be”表示“目的是”或者“将会是”,这并不是本句本意上要表达的含义。

(B)should be legitimate subjects for literature and portray these

【错误1】 句子结构:“consider”本身无法引导主谓结构“the rural poor should be legitimate subjects
for literature……”

【错误2】 代词指代:见(A)中【错误1】。

(C)as being legitimate subjects for literature and portraying them

【错误】 简洁明了:“as being”表意为“作为是”,不具有简洁性。

(D)as if they were legitimate subjects for literature and portray them

【错误】 句子意思:“as if”表示仿佛,“they were legitimate subjects”意味着穷人实际上不是“legitimate
subjects”,表意不合理。

(E)legitimate subjects for literature and to portray them

【正确】 “consider the rural poor legitimate subjects”使用了固定搭配“consider sth.
sth.”表达的含义是“把‘the rural poor’考虑作为‘legitimate subjects’”。

【大意】 George Sand是第一批把乡下穷人考虑作为文学的合理刻画对象的欧洲作家之一,并且在她的小说中以同情和尊重刻画这些对象。

解题思路:

(A)、(B)中代代词指代不合理,排除。

(D)句意不合理,排除。

(C)简洁性逊于(E)。

因此选择(E)。

当脱欧成为雅思写作话题

  看着脱欧的新闻,coco不禁职业病滴将视线集中在BBC的图表上。做得真是一流啊!数据清洗,逻辑明确,万一成了雅思的小作文图表题,那该多好啊!

  好了,既然我们已经受惠于汇率10%的下降,也不妨再多占脱欧一个便宜,那就是拿它当雅思小作文图表题练练手吧!

  以下请看题:

  The graphs below show the result of referendum for the UK to

  leave the EU in June 2016. You are required to write an essay about

  150 words to report the main features and make relevant

  comparisons.

  The final percentages and quantities of vote on both

  sides

  How Leave won the referendum against Remain in different areas

  of the UK

  当

  —————我是动人分割线————–

  写作tips:以下句子是BBC专题报道原句,大家可灵活应用到这篇小作文中哦。

  1. “Leave won by 52% to 48%.”

  2. “England voted strongly for Brexit, by 53.4% to 46.6%, as

  did Wales, with Leave getting 52.5% of the vote and Remain

  47.5%.”

  3. “Scotland and Northern Ireland both backed staying in the

  EU. Scotland backed Remain by 62% to 38%, while 55.8% in Northern

  Ireland voted Remain and 44.2% Leave.”