We will then use this rule file in a mining flow to extract the concepts from text columns in relational database tables.
然后，在一个挖掘流中使用这个规则文件，把概念从文本列中提取到关系数据库表中。
You can also open other artifacts, such as a use case document, and highlight text to extract a requirement, as Figure 13 illustrates.
您还可以打开其他的工件，例如一个用例文件，并强调显示文本以提取一项需求，如图13所示。
Text analysis can extract a set of keywords that characterize the document.
文本分析可以抽取出一组代表文档特征的关键词。
This precludes the database from performing intelligent and efficient search and extract operations on the stored text objects.
因此数据库无法对存储的文本对象执行智能和有效的搜索和提取操作。
First, we will create a regular expression rule file to extract the concepts of area and location from text documents.
首先，我们要创建一个从文本文档中提取面积和位置概念的正则表达式规则文件。
You will lose Word formatting and nontext items such as graphics, but you should at least be able to extract most of the text information from the file.
你将失去格式和诸如图形等非文本项目，但是至少你应该看析取出文件中大部分的文字信息。
Text analysis is the process of enabling computers to extract meaning from text.
文本分析是指使计算机能够从文本中提取意义的过程。
A text description can be associated with a particular request to help differentiate requests for similar extract requests.
可以将文本描述与特定的的请求关联起来，以区分类似提取请求的请求。
The next section gives you a step-by-step example for this kind of integration: text analysis is used to extract structured information from a database table containing unstructured information.
下一小节将针对此类集成给出一个逐步指导示例：文本分析被用于从包含非结构化信息的数据库表中提取结构化信息。
Extract all translatable text from the original documents.
从原始文档中抽取所有可以翻译的文本。
To achieve this goal, first create a dictionary that contains a list of skills that you want to extract from the text of the job offering.
为了实现这个目标，首先创建一个包含您希望从招聘文本中提取的技能列表的字典。
The following example show you how to use regular expressions to extract concepts such as coordinates and areas from text.
下面的示例演示如何使用正则表达式从文本中提取出坐标和面积等概念。
When uploading files to their account, Docs users will now see an option to run an OCR scan, which will extract characters and place them within a new text document.
上传文件到帐户时，用户将看到一个运行ocr扫描的选项，这个选项将提取文件中的字符置于一个新的文本文档中。
Finding text is a common problem but, more often than not, you want to extract the text after it's found.
查找文本是常见的问题，但是更常见的问题则是希望在找到文本之后将其提取出来。
Readers on other platforms use a combination of off-screen modeling and heuristics to extract text from GUI applications.
其他平台上的阅读器利用屏幕以外的建模和直观推断的组合来从GUI应用程序中提取文本。
Depending on the type of document, which is defined with the text index format, different ingest handlers and parsers are used to extract and filter the text.
根据在文本索引格式中定义的文档类型，不同的吸取处理器和解析器会用于提取和过滤文本。
You can use a text editor to easily modify the XML documents you extract using the HTTP/CLI API.
您可以使用一个文本编辑器来轻松地修改您使用HTTP/CLIAPI提取的XML文档。
The operator USES rule files containing regular expression rules to extract concepts from text columns.
这个操作器使用包含正则表达式规则的规则文件从文本列中提取出概念。
After you extract the text, you then replace all instances of text that match the mask with the mask name (if a mask is required), as shown in Listing 4.
在您获取文本之后，您就使用蒙版名来替换匹配蒙版文本的所有实例(如果需要蒙版的话)，如代码清单4所示。
On some platforms, screen readers can extract text information directly from GUI applications that have implemented the standard accessibility architecture.
在一些平台上，屏幕阅读器可以直接从已经实现了标准的易访问性体系结构的GUI应用程序中提取文本信息。
Because you are interested in just the descriptive text columns in the text table and not the configuration columns, it is sufficient to extract just the text table and not the check table.
因为您只对文本表中的说明性文本列感兴趣而不是配置列，所以这足以只提取文本表而不提取检查表。
For each one, extract the text of the title element and place it on the page, as you can see in Figure 1.
对于每个元素，提取标题元素的文本并将其放入页面，如图1所示。
From this single tweet, you extract the text field emitted to output via puts.
从这个tweet，您提取通过puts发射到输出的文本字段。
You have learned how to setup the UIMA development environment and how to create your own annotator and use it in InfoSphere Warehouse to extract structured information from text input.
您了解了如何设置UIMA开发环境，如何创建自己的注释器，以及在InfoSphere Warehouse中使用定制注释器从文本输入提取结构化信息。
The Substring function uses a delimiter and index to determine what text to extract from the incoming source string.
Substring函数使用一个分隔符和索引来判断要从进入的源字符串提取哪些文本。
Listing 4 shows you how to extract all the text nodes contained in a node.
清单4展示如何提取包含在节点中的所有文本节点？
Part 1 introduces the notion of the regex and the PHP functions available to compare text to patterns and extract matches.
第1部分介绍了regex的概念和可用于比较文本与模式和提取匹配的php函数。
Finally, the article explains how to import the PEAR file into InfoSphere Warehouse and use it in an analytic flow to extract information from text.
最后，本文解释了如何将PEAR文件导入到InfoSphereWarehouse，并在分析流中使用它从文本提取信息。
The Substring function will extract text from a source string.
Substring函数将从源字符串提取文本。
Text operators can then extract structured information from text columns and add them to the output as new columns containing found concepts like names, skills, dates etc..
然后，Text操作器可以从文本列中提取结构化信息，把它们作为新列(其中包含找到的姓名、技能、日期等概念)添加到输出中。
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