在右边的黑板上写上正确的字。
美好的意图抵不上正确的行动。
您不必担心图像是否能在另一个系统上正确显示。
You don't have to worry about an image being displayed correctly on another system.
关于评级机构:他们什么时候在什么事情上正确过?
As for the ratings agencies: since when have they been right about anything?
基本上正确,但是,你最好。
你的答案基本上正确,尽管细节并不全对。
Your answer is fundamentally correct, although the details are not always right.
排列信息有许多在文法上正确但不合适的方法。
There are many more, albeit syntactically correct, unfortunate ways to arrange the information.
没有在计算机“%1”上正确安装调试器。
最严重类型的编程错误是程序在语法上正确但无论如何却导致错误结果的产生或者根本无法产生结果。 这种因为逻辑错误无法正确解决问题的错误类型,称为Bug。
The most serious type of programming error is one that is syntactically correct but that
她在离开纽约这件事上做出了正确的选择。
当时这样做在策略上是正确的。
你在试图引导你妈妈变得越来越独立这点上是完全正确的。
You are perfectly correct in trying to steer your mother toward increased independence.
实际上,从来没有一个正确的答案。
事实上,正确的语法和遣词造句更为重要。
In fact, correct grammar and word choice are much more important.
批评家们在这一点上是正确的。
事实上,事情的发展方向并不正确。
从理论上讲,您认为每件文物都具有潜在的科学价值可能是正确的。
Theoretically, you may be correct in claiming that every artifact has potential scientific value.
其他人则认为它们在政治上是正确的,在道德上是恰当的。
Others saw them as politically correct and morally appropriate.
狗是世界上最有用的动物,这一点仍然是正确的。
It is still true that a dog is the most useful animal in the world.
现在,把焦点集中在稳定用例上,以得到正确的模型。
For now, focus on the stable use cases to get the model right.
劳伦斯的理论并不完美,但感觉上是正确的。
所以,阿诺德在一点上是正确的,即幽默作家一个全国性的现象。
So in one sense, Arnold was right: the funnyman was a national phenomenon.
我坚信,在对待这件事情的看法上,我做了个正确的选择。
I firmly believe that I made a right choice in this encounter.
在这些重要的日子上,你应该了解正确的措辞。
On these important days, you need to know the right words to say.
在道德上,他们很在乎在大的事情上做正确,但并不包括遵守小节。
Morally, they care about getting the big questions right, but not about observing proprieties.
所以这个代码实际上是正确的。
但在某种意义上,他是正确的。
如果这个计划从理论上讲,能够是正确,那么它就是非常靠不住的。
While the plan could, in theory, be correct, it is very unlikely that it will be.
在这种情况下,FBML在结构上是正确的,但是数据是错误的。
In this case, the FBML may be structurally correct, but the data is wrong.
在这种情况下,FBML在结构上是正确的,但是数据是错误的。
In this case, the FBML may be structurally correct, but the data is wrong.
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