We ask some outstanding social scientists.
我们询问了一些杰出的社会科学家。
If we ask "What salary are you looking for?"
假如我们问“你的期望薪水是多少？”
In fact, we are using it if we ask questions naturally about what we see.
事实上，如果我们对看到的东西自然地提出问题，我们就会使用它。
As we continue to read, we ask ourselves questions and try to find answers.
当我们继续阅读时，我们问自己问题并试图找到答案。
We ask him, Are your hands dirty?
我们问他，你的手脏吗？
We ask ourselves: are we going to win?
我们可以问问我们自己：是不是想赢？
MAN: May we ask what the rate will be?
可以请教税率会变成多少么?
We ask children, how do you like to learn?
我问孩子们，你们认为学习怎么样啊？
And we ask, what do we get with this node?
然后我们问，这个节点我们获得的是什么？
If we ask 'What salary are you looking for?
假如我们问‘你的期望薪水是多少？’
This is the way we ask someone about their job.
就是我们在问别人职业的时候常说的一句话。
We ask, is this positive, negative, or zero.
这是正的负的还是零。
We ask questions such as, who is in the image?
我们会问这样的问题，图中的人是谁？
Well, we ask ourselves then, well, what's missing?
那么我们必须得问，到底缺失了什么？
A speedy, small, cheap EV? What more could we ask for.
一辆高速，便宜，小巧的电动车——我们还奢望什么呢？
But the questions we ask of the models will change.
但我们对模型所提的问题将有所变化。
Or suppose we ask the question in a slightly different way.
或者假设我们以一种稍微不同的方式问这个问题。
The second thing we ask is how representative is the sample.
我们问的第二件事,就是样本的代表性。
The world will certainly look nicer if we ask kids what to do.
要是我们问一下孩子们该怎么做，我们这个世界会更加美好的。
On the contrary, every time we ask, "Can you shake, Lola?"
相反的，每次我们说：“你能摇晃吗？”
In order to solve the problem, we ask for compensation for the loss.
为了解决问题，我们所受的损失要求赔偿。
Imagine there's somebody in 2050 and we ask, "Is that Shelly Kagan?"
想象一下，2050年又有个人0，我们会问，他是不是谢利·凯根。
Many of us are wondering: should we ask our parents for more money?
我们中有许多人都在考虑是否应该向父母要更多的钱。
"We forgive, and we ask to be forgiven, " the most famous sentence read.
其中最著名的句子是：“我们宽恕，我们要求被宽恕”。
"We forgive, and we ask to be forgiven, " the most famous sentence read.
其中最著名的句子是：“我们宽恕，我们要求被宽恕”。
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