Now, you might be thinking this just seems semantic.

现在，你可能认为这些只是语义上的不同。

The difference between managing and leading is not just a matter of semantics.

管理和领导之间的区别不仅仅是语义上的区别。

This means that a semantically similar piece of geometry is recognized on different objects.

这意味着可以在不同物体上识别一个语义相似的几何形状。

In privacy terms, this is a largely semantic distinction.

就隐私方面而言，这在很大程度上是语义上的区别。

It does a search that's based on the semantics.

识库是基于语义学的搜索。

" Insane" has a stronger, more negative association than crazy.

insane比crazy有更强烈、更负面的语义联。

This may seem like a nitpicky semantic point, but it's physically true.

这似乎是一个吹毛求疵的语义点，但它在物理上是正确的。

Well, yes and no. The word clothes is only part of a much larger story.

嗯，对也不对，“衣服（clothes）”这个单词仅仅只是“织物（fabric）”这个庞大语义中的一部分。

That Yale is in New Haven is semantic.

耶鲁大学位于纽黑文是语义上的。

The smart assistants will be able to understand what we say, the meaning of the words in their context.

这些智能助理将能理解我们说的话和当中的语义。

In a professional context you might say, " I wish I had quoted a better price."

用一种专业的语义表达，你可以说成“多希望当时能报一个更好的价钱。”

In this sentence " even" is a comparative adverb making hotter have a more intense meaning.

在这个句子中，even是一个比较级副词，使hotter的语义更强烈。

This is a casual phrase. But it does have a strong meaning, especially in American business, where results are important .

这是一个非正式短语。但是在美式商务环境中，它也是有着很强烈的语义的，表示结果更为重要。

So again, it depends on the semantics of what your definition is.

同样，这取决于您定义的语义。

But a lot of people use semantics that I really don't like.

但是很多人使用我真的不喜欢的语义。

So the stuff, your semantic memory.

所以这些东西，你的语义记忆。

Our editor now has more semantic awareness, and we've brought over the tokenized editing experience from Swift Playgrounds.

我们的编辑器现在有了更多的语义意识，我们还使用了从 Swift Playgrounds 那里带来的标记化编辑体验。

Part of that's semantics. We're all familiar with the use of semantics in these sorts of things.

有部分语义学上的含义。我们都很熟悉语义学在这类事情上的应用。

One of the Old Testament words for " god" has the same semantic root as the Muslim Allah.

旧约中表示“神” 的词之一与穆斯林真主有着相同的语义根源。

Through our editorial team, through our semantic classifiers, through what the community tells us they do or they don't want.

通过我们的编辑团队、我们的语义分类器，以及通过网络社区告诉我们他们要什么或不要什么。