The F4 shortcut will repeat nearly all the actions you take on document text: typing: formatting, deleting.
F4快捷键几乎能重做你对文档文本的任何操作：输入文字、设定格式、删除。
This object contains the document text along with meta information about the text, such as the document language.
这个对象包含文档文本和关于文本的元数据信息，比如文档语言。
Then, when process is called, it finds matches of the regular expression in the document text that it gets from the CAS.
然后，当调用process时，它在从CAS收到的文档文本中寻找与正则表达式匹配的地方。
The sample document could be located with a query for "IBM laptop" even though these keywords never appear in the document text directly.
即使在示例文档的文本中并没有直接出现关键字“IBM laptop”，但是对“IBM laptop”的查询仍然可以找到这个文档。
Data output view — You can view XML data type columns on the results page, and visualize the content of XML columns as a tree or document text.
数据输出视图——您可以在结果页面上查看XML数据类型的列，还可以将xml列的内容可视化成树或文档文本的形式。
To simplify the extraction of document text, the OmniFind/ICM integration can be run in "training mode" (not included in the sample annotator).
为了简化文档文本的提取过程，OmniFind/ICM集成可以运行在 “训练模式” 下（在示例注解器中不包含这个模式）。
Its job is to use the information in the CAS that it is given, in particular the document text, to find some new data that it then adds to the CAS.
它的工作是使用提供给它的CAS中的信息(也就是文档文本)，寻找一些新数据，然后将这些数据添加到CAS中。
The analysis engine splits document text into words (expecting white-space separated text) and creates an annotation for all words that contain more than four vowels.
这个分析引擎将文档文本分解成单词(使用空格分隔的文本)，并为所有包含4个以上元音的单词创建注释。
Note that the relationship Annotator can detect relationships without looking at the actual document text, but by analyzing preexisting concepts and grammar annotations in the CAS.
注意，Relationship Annotator通过分析在CAS中预先存在的概念和语法注释探测关系，而不需要查看实际的文档文本。
Since a parser delivers data in document order (the same order items appear in the XML document text), the on-demand construction implemented by AXIOM requires some clever handling.
因为解析器按照文档顺序(与XML文档文本中项目的出现顺序相同)传递数据，所以AXIOM所实现的按需构造需要某种灵活的处理方法。
The main differences here are that I save the DocumentFactory used to build the dom4j document representation (line 5) and flush the writer after outputting the modified document text (line 10).
这里的主要区别是我保存了用来构建dom4j文档表示的DocumentFactory （第 5 行），并在输出已修改的文档文本之后刷新了writer（第 10 行）。
Absrtact: Document text images captured by book scanner or camera usually require resolution enhancement for other usage, present a text image enhancement algorithm based on Markov random field.
摘要：对于扫描或相机拍摄的低分辨率文本图片，提出一种基于马尔科夫随机场的文本图像清晰化算法。
Absrtact: Document text images captured by book scanner or camera usually require resolution enhancement for other usage, present a text image enhancement algorithm based on Markov random field.
摘要：对于扫描或相机拍摄的低分辨率文本图片，提出一种基于马尔科夫随机场的文本图像清晰化算法。
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