好，这为什么是个静态语义错误呢？
这是个静态语义错误。
如果sql语法有问题，就不会探测出语义错误。
If the SQL syntax has problems, then the semantic errors are not detected.
模型包含语义错误。
想下到底是什么类型的错误：语法，运行，还是语义错误？
程序一般会有三种错误：语法错误，运行错误和语义错误。
Three kinds of errors can occur in a program: syntax errors, runtime errors, and semantic errors.
接下来，使用调试器检测并纠正在运行时检测到的逻辑错误和语义错误等问题。
Next, the debugger is used to detect and correct such problems as logic errors and semantic errors that are detected at run-time.
在此基础之上，我们引入新的Codan静态分析框架作为可选组件，在编译之前提供语义错误报告。
On top of that, we introduced the new Codan static analysis framework as optional component to provide semantic error reports ahead of compile time.
如果变量是在初始化之前使用的，那就会产生语义错误，使用值为0来创建这个变量，并打印一条消息。
If a variable is used before it is initialized, a semantic error is generated, the variable is created with a value of zero, and a message is printed.
识别语义错误是十分微妙的，它要求你进行反向的工作检查程序的输出，并且查明它在做什么。
Identifying semantic errors can be tricky because it requires you to work backward by looking at the output of the program and trying to figure out what it is doing.
到目前为止，我主要强调了CriteriaAPI的强类型，以及它如何帮助减少出现在基于字符串JPQL查询中的语义错误。
So far, I have mainly emphasized the strongly typed nature of the Criteria API and the fact that it helps to minimize syntactic errors that can creep into string-based JPQL queries.
当您在非连接模式下工作时，您仍然可以检查源代码的语法与语义错误，然后连接就只是为了提交一个汇编后的文件，这时您已经为创建项目对象做好了准备。
While working in the disconnected mode, you can still check source code for syntax and semantic errors and then connect only to submit a compiled file when you are ready to create the program objects.
鉴于所有犯下的同样的错误，这不仅仅是语义上的混淆——这反映了一种心态。
Given all made the same mistake, this was no mere semantic mix-up - it reflects a mind-set.
因为没有错误处理逻辑，必须依靠数据库的限制，以确保数据的语义完整性。
Because there is no error handling logic, you must rely on database constraints to ensure semantic integrity of the data.
因为用例存在语义，所以通过编写错误代码搞破坏的机会是很低的。
Because of the semantics of the use case, the odds are low for someone to do this via a coding mistake.
转换提供者错误代码——不同的服务提供者会使用不同的语义来返回服务错误。
Transform provider error codes - It is possible that different service providers return service errors using different semantics.
这些情况下，往往需要为每个具体错误使用特定模式来定义信息，这样可以有效地扩展领域语义模型以描述失败场景。
These situations often call for special schemas defining information for every specific error, thus effectively extending domain semantic model to describe failure scenarios.
应用级异常，由于错误的消息语义或应用中的逻辑错误导致。
Application-level exceptions result from incorrect message semantics or logical errors within the application.
并不是所有的错误，都会在静态语义检查中被捕获。
Not everything is going to get caught in static semantics checking.
好，当你的代码语法，没错误，并且也有正确的静态语义，你去运行它的时候会发生什么呢？
OK. What happens if you actually have something that's both syntactically correct, and appears to have correct static semantics, and you run it?
显然，很多用户并不完全了解这些网关的语义以及因此错误组合而导致的行为。
Apparently, many users are not fully aware of the semantics of these gateways and of the behaviors that result from this incorrect combination.
单个使用会导致语法错误而需要通过转义字符来修改语义的符号。
Symbols that cause syntactic errors for single use and require an escape character to change semantics.
这个编辑器显示语义和语法错误所使用的标记是一样的。
The editor shows the same error indicators for semantic and syntax errors.
在你使用这些元素时，请务必保证你理解了它们的语义。以错误地方式去使用一个语义化元素远比按照原来的写法更加糟糕。
Make sure you understand the semantics of the elements you're using. It's worse to use a semantic element in a wrong way than staying neutral.
本文提出了一种维护WAP网站的网络爬虫系统，该系统可以自动遍历WAP网站，并对网页进行分析，检查语法和语义的错误。
This paper provides a Maintaining WAP Site Crawler system. This system can automatically traverse the WAP site, parse every page in the site and check syntax and semantic faults.
错误论和非事实论是用语义方式表述的两种不同形态的非实在论。
The error theory and non-factualism are two forms of irrealism formulated in semantic way.
错误处理和语义分析是较高的层次，本文对此也做了研究和部分实现。
Error handling and semantic analysis are topics in upper level, and the studies and partial implementation of them are also included in this paper.
许多研究的结果表明，学习项目与关键诱饵的语义关联是引起错误记忆的主要原因；
The findings obtained with DRM paradigm showed that false memory is the result of the relationship between list items and the critical nonpresented words.
许多研究的结果表明，学习项目与关键诱饵的语义关联是引起错误记忆的主要原因；
The findings obtained with DRM paradigm showed that false memory is the result of the relationship between list items and the critical nonpresented words.
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