The other is that rule-based related text extraction method is proposed .
二是提出了基于规则的相关文本提取算法。
Text extraction in digital video plays important role in content based video indexing.
从数字视频中提取文字对基于内容的视频索引的建立具有重要意义。
We provide one text extraction tool to extract full text from all of the above file types.
我们提供一个文本提取工具，可以用于提取上述所有类型的文件。
Key AXIS PRO features include data management, geospatial analysis, link analysis, pattern analysis, and text extraction.
AXISPRO的关键功能包括数据管理、地理空间分析、链接分析、模式分析和文本提取。
Additionally, the use of good computer aided translation (CAT) tools for text extraction can help reduce the need for post-translation DTP.
此外，在文本抽取过程中采用好的计算机辅助翻译(CAT)工具可以减少译后dtp的需要。
A sign has various kinds of important information and therefore, sign text extraction in natural scene images is very useful in many applications.
标志牌上包含了许多重要的信息，提取自然场景图像中标志牌上的文本具有很高的实用价值。
This paper introduces the structure of PDF documents, and shows the procedures for file parsing and text extraction from the parsed content streams.
介绍了PDF的文件结构，在此基础上，给出了PD F文件的解析流程，以及从解析后的内容流中提取文本内容的方法。
Text extraction is a key technique in content-based video retrieval as textual information plays an important role in describing the content of image.
文字信息在描述图象内容时起着重要的作用，因此文字提取及识别是基于内容视频检索的关键技术。
In this paper, news story segmentation and topic caption text extraction, as well as content based video browsing and querying, are addressed in detail.
本文详细讲述了新闻故事的分段，主题字幕文本的提取和在此之上的基于内容的视频浏览和查询。
In this paper, techniques for image text analysis are divided into three main blocks: image text extraction, image text preprocessing and image text recognition.
我们将图像文本分析技术划分为三大组成部分：图像文本定位、图像文本的预处理和图像文本的识别进行讨论。
This paper studies the video text extraction and recognition. The main parts are the algorithm and key technology of text localization, text tracking and text segmentation.
本文研究的是视频文字的提取和识别，主要包括视频文字定位、跟踪和分割三部分算法及关键技术的研究。
The analysis of special pages and text extraction methods in this paper has a practical significance in the research of web information technology and the application of networks.
文中对特殊网页的分析及其文本提取方法的研究，对网页信息挖掘技术研究和网络应用、网络监察具有重要的实际意义。
The text file produced by the extraction process is composed of several audit records, each separated by a blank line.
提取过程所产生的文本文件由一些审计记录组成，每个记录之间以一个空白行隔开。
You can use built-in text analysis functions, namely dictionary based and regular expression based named entity extraction, as explained in the previous articles of this series.
您可以使用内置的文本分析特性，即基于词典和基于正则表达式的命名实体提取，如本系列的前面的文章所述。
For a deeper analysis, you can use the Frequent Terms Extraction feature to extract the most frequent terms that occur in the text column together with advanced visualization like a cloud view.
对于更深入的分析，可以使用FrequentTermsExtraction特性提取文本列中最常出现的词汇，并结合使用云视图等高级显示功能。
The message id (msgid) is the original text that was marked for extraction with a call to the gettext function.
消息id (msgid)是用于提取而调用gettext函数进行标记的原始文本。
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）。
This means they easily lend themselves to specifying information extraction results. For example, in the following text a Company annotation would cover positions 19 to 21.
这意味着可以方便地使用注释指定信息提取结果。
In this article, you use their term and named entity extraction services to perform text analysis.
在本文中，您使用他们的术语和指定实体抽取服务来执行文本分析。
Algorithms that scan text for common patterns, such as email addresses, phone Numbers, and people and place names, are useful for named entity extraction.
为总结公共模式(比如，电子邮箱地址、电话号码、人名和地名)而扫描文本的算法对于指定实体抽象非常有用。
The term Extraction transformation extracts terms from text in a transformation input column, and then writes the terms to a transformation output column.
字词提取转换从转换输入列的文本中提取字词，然后将这些字词写入转换输出列。
Information extraction is a main approach for constructing database from free text corpus and for automatic collecting intelligence information.
信息抽取是从自由文本语料库构建数据库，实现情报自动收集的有效途径之一。
Text categorization and feature concept extraction is the focal point of basic research in the field of intelligent information service system.
文本分类与文本信息特征概念的提取是当前智能信息服务研究的重点。
The methods of text character extraction and the text mining are then discussed.
在此基础上讨论了文本特征提取及文本挖掘的方法。
Feature value extraction is key technology in text processing, outstanding feature value could really embody the attribute of the text.
特征值提取是文本处理中的关键技术，优秀的特征值才能真正反映出文本的属性。
This paper introduces the design and implementation of the Chinese text categorizer based on the fuzzy recognition and the extraction of the characteristic vector with the vector space model.
介绍了一种基于模糊模式识别以及向量空间模型提取特征向量的中文文本分类器的设计与实现。
Text feature extraction and text categorization is the focal point of basic research in the field of intelligent information service system.
文本信息特征提取和文本分类是当前智能信息服务系统基础研究的重点。
Computing method of weighted value for feature item based on text representation can determine extraction of text feature, which have influence on accuracy of the text clustering.
文本表示中特征项的权值计算方法决定了文本特征的提取，在很大程度上影响了文本聚类的准确率。
This new method eliminates the drawbacks of traditional IDF method and it can efficiently conduct text feature extraction thus to promote the accuracy of automation text categorization.
该文方法克服了传统IDF方法缺点，能有效地从概念上提取文本类特征，提高文本自动分类的准确性。
This new method eliminates the drawbacks of traditional IDF method and it can efficiently conduct text feature extraction thus to promote the accuracy of automation text categorization.
该文方法克服了传统IDF方法缺点，能有效地从概念上提取文本类特征，提高文本自动分类的准确性。
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