文档统计数据：已建索引文档的总数、以及索引的各个域。
DocumentStats: Total number of documents indexed, as well as fields in the index.
统计应用程序或总结信息的任何应用程序都可以从中获益，因为它们的数据模型只需计算总计而无需复制整个文档。
Statistical applications, and any application that summarizes information, benefit because their data model is reduced to running totals as opposed to a copy of the entire document.
再举一个例子，您可以创建一个统计XML文档，其中显示的XML描述每个服务在提要中出现的次数。
For another example, you will create stats XML document. This will show XML describing the number of occurrences of each service in the feed.
统计内容管理系统中的文档数量。
在IBMDB 2 9.7中，活动和统计事件监控器都具有DETAILS_XML监控器元素，该元素存储包含大量活动和系统指标的XML文档。
In IBM DB2 9.7, both the activity and statistics event monitors have a DETAILS_XML monitor element that stores an XML document which contains a wealth of activity and system metrics.
对表示为XML文档的数据进行统计分析。
Perform statistical analysis of the data represented as an XML document.
统计分析的结果也是一个 XML文档，如 清单5所示
The outcome of the statistical analysis is the XML document shown in Listing 5
这个程序为统计文档创建HashMap，并且为每个服务创建UserList文档。
The program creates the HashMap for the stats document, as well as UserList documents for each service.
首先，对于快速的人可读性、粗略的字数统计等而言，用字符串扫描.DOC文档通常是足够了。
First, for quick human readability, rough word counts, and so on, it's often enough to scan a.doc document with strings. A command such as.
此脚本统计当前数据库中所有文档的数量，值为字符串。
This script gets a count of all the documents in the current database as a string. Modify the script so that it looks like this
特定于场所的统计信息为我们提供有关场所的一些有用信息，包括某个场所的文档数量，今天修改的文档数量，库文档的数量，等等。
The place-specific statistics give us some useful information about a place including the number of documents in the place, number of documents modified today, number of library documents, and more.
检索出数据(一个包含了50个实体的XML文档)后(参见清单3)，分析引擎将通过应用清单4中所示的XSL，对该XML数据进行统计分析。
Having retrieved the data as an XML document that contains 50 entries (see Listing 3), the analysis Engine performs a statistical analysis on the XML data by applying the XSL shown in Listing 4.
我曾使用该功能来生成下载页面、目录(当文档跨多个不同文件时)、统计信息及更多其它内容。
I have used this feature to generate download pages, tables of contents (when a document is spread across different files), statistics, and much more.
通过比较Statrep . nsf中的各种文档，可以构建一个间隔历史，以记录在DPAR操作期间如何累计这些统计数字。
By comparing the various documents in Statrep.nsf, you can build an interval history of how these statistics have been accumulating during the DPAR's operation.
还可以在Domino统计数据中检查复制条目(通过ShowStatReplica命令)，了解添加、删除和更新文档的速率。
You can also review the Domino statistics for replica entries (via the Show stat replica command) and see the rate of documents being added, deleted or updated.
此挑战的另一部分是找到一种智能且可重用的方法来对文档进行分析，从文档中提取统计上相关的令牌，然后使这些令牌可用于ServiceRegistry。
The other part of the challenge is to find a smart and reusable way to analyze documents, extract statistically relevant tokens from them, and make them available to Service Registry.
索引引擎，它负责在统计层面上分析纯文本(由二进制文档派生而来)，然后计算令牌的列表，按使用频率排序。
An indexing engine, which is responsible to statistically analyze the plain text (derived from the binary document) and compute a list of tokens, sorted by frequency.
其他工作包括IT相关报表的统计、上报，文档管理等。
Other assigned work including IT reports preparation and documents management.
集合是一组有关源文档的统计信息及指向源文档的指针，以专有格式存储于文件服务器中。
A collection is a set of statistics and Pointers to the source documents, stored in a proprietary format on a file server.
为解决受限领域统计型文摘对文档中心内容理解不足的缺陷，研究了结合领域知识生成单文档文摘的方法；
Studies ways of generating text summary by utilizing domain knowledge to dissolve the limitation that statistical summary is defective in understanding document meanings.
为解决受限领域统计型文摘对文档中心内容理解不足的缺陷，研究了结合领域知识生成单文档文摘的方法；
Studies ways of generating text summary by utilizing domain knowledge to dissolve the limitation that statistical summary is defective in understanding document meanings.
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