这会使结果页面类似于实际的文档搜索标准。
That will make the results page resemble the de-facto standard for document search.
我向下滚动文档搜索“美利坚合众国”。
最后，可以为结构化xml数据实现高效的文档搜索方法。
Finally, you can implement efficient document search methods for structured XML data.
文档搜索是企业内容用户获得他们所需的文档的最重要方法之一。
Text search is one of the most important ways that users of enterprise content can find the documents they need.
支持按照特定产品和版本对IBM软件支持文档搜索结果进行筛选。
Enable filtering of the IBM Software Support Documents search results by a specific product and version.
IBM软件支持文档搜索目标允许按照文档类型对结果进行筛选。
The IBM Software Support Documents search target enables filtering of results by document type.
与自由文本或结构化文档搜索比较而言，处理、搜索和显示数据是一个简单的过程。
The processing, searching, and displaying of data is a simple process compared to the free text or structured document searches.
例如，技术文档搜索流程从web页面提取客户的搜索请求，并生成可选的文档列表。
For example, a technical document search process takes a customer's search request from a Web page and produces a list of documents from which one can be selected.
为了提高信息查询的效率，本文将自适应谐振神经网络引入中文文档搜索分类之中。
In order to improve the efficiency of information retrieval, this article introduces the Adaptive Resonance Theory (art) into the searching and classification of Chinese documents.
然后，在后面的小节中，将了解如何使用树控件显示和选择元数据条件，从而改进文档搜索的用户界面。
Then in a later section, see how the user interface can be improved for document search by using a tree control for displaying and selecting the metadata conditions.
使用文本索引使文档搜索的效率大大提高，因为不需要像进行子字符串匹配时那样在查询时检查文本数据。
Using a text index makes document search much more efficient, as the text data does not need to be examined at query time like it is done with sub-string matching.
OracleOutsideIn 转换器在文档查看（转换为HTML）、文档搜索（转换为 SearchText）和转换为图像中起着重要的作用。
The Oracle OutsideIn convertors have a major role in document viewing (conversion to HTML), document search (conversion to SearchText), and conversion to images.
如果找到一个文档，那么搜索就结束了。
这些属性支持灵活地搜索文档，这是这个解决方案的一项重要要求。
These properties enable flexible searching for documents, which is an important requirement of this solution.
一般来说，计算机科学术语全文检索只是意味着你在文档中搜索所有的文本。
In general computer science terms, a full text search simply means you are search through all of the text in a document.
搜索引擎应用程序可以返回结果文档，因此用户搜索的字段总是最先出现。
The search engine application might return result documents so that the field that the user searched upon always appears first.
分类时根据特定的文档属性将搜索结果中的文档分成几个类别，并且提供每个类别的摘要。
When categorizing, the documents in the search results are classified into several categories by a specific document property with a summary of each category provided.
包含重要单词的文档在搜索结果中首先出现。
Documents containing important words show up first in the search results.
此处假设对于给定的搜索，文档中被搜索到的条件出现的比较频繁，就属于“更好”的匹配。
The presumption here is that documents in which the searched terms appear more often are "better" matches for a given search.
内容管理SIAPI——用于访问门户文档管理器(PDM)文档的搜索集合。
Content Management SIAPI - used to access the search collection for Portal document Manager (PDM) documents.
您可以在JSON文档中搜索单一的键。
我们有这样一项业务需求：扫描所有文档，以使客户能更容易地搜索文档。
There is a need to scan in all documents so that the customers can search documents easier.
筛选时根据文档属性对搜索结果中的文档进行更细粒度的选择。
When filtering, the documents in search results can be subselected based on document properties.
可以为XML文档创建文本搜索索引。
每一个源文档的关键字持有者文档的数目与每个文档的搜索字段的数目相同。
The number of keyword holder documents per source document is the same as the number of search fields in each document.
这里将搜索的文档赋给一个变量。
Here, the document to search within is assigned to a variable.
作为可选项，搜索能将符合条件的文档按照搜索词语的出现频率并且对比文档长度来排列。
As an option, the search can rank matched documents based on the prevalence of the search words as compared to document length.
即便是只有部分文档包含相关信息，仍需解析和搜索所有文档，因此性能通常很差。
The performance is often poor because all documents need to be parsed and searched, even if only a subset of them contain relevant information.
当您试图确定以前曾经发现过的问题时，可以对这些文档进行搜索。
These documents can be searched when trying to identify previously-discovered issues.
一次搜索传递能生成文档可搜索特性的摘要，后继搜索就不必再次阅读这些文档。
One search pass can produce a summary of the searchable features of documents, and subsequent searches will never need to read those documents again.
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