• Creating and testing the UIMA analysis engine.

    创建和测试ui MA分析引擎。

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  • Figure 7 shows the introduction of a real-time analysis engine.

    图7中引入了实时分析引擎。

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  • Step 3: Associate the custom analysis engine with your OmniFind collection.

    步骤3:将定制分析引擎与OmniFind集合关联起来。

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  • An analysis engine contains one or more annotators or other analysis engines.

    分析引擎包含一个或多个注释器或其他分析引擎。

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  • The first is the code-analysis engine, which parses the code and the comments.

    第一部分是代码分析引擎,用来解析代码和注释。

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  • Use the following steps to create the analysis engine in your Eclipse environment.

    通过以下步骤在您的Eclipse环境中创建分析引擎。

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  • This article described the necessary UIMA concepts to develop a custom analysis engine.

    本文描述了开发定制分析引擎所需的UIMA概念。

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  • This PMML model can be stored in the database and understood by a real-time analysis engine.

    这个pmml模型可以储存在数据库中并被实时分析引擎理解。

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  • You've now seen the complete data structure analysis engine, so all that's left is to show it in action.

    现在已经看到了完整的数据结构分析引擎,所以剩下的就是显示它的实际功效了。

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  • This choice was made because it provides easy-to-use editors and tooling for analysis engine development.

    选择使用这个工具的原因是,它为开发分析引擎提供易于使用的编辑器和工具。

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  • To have the collection use the auto-classifier, it needs to be associated with the new text analysis engine.

    为了让集合使用自动分类器,需要将集合与新的文本分析引擎关联起来。

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  • If an analysis engine was created using a prior UIMA version such as IBM UIMA, it needs to be migrated first.

    对于使用以前的UIMA版本(比如ibm UIMA)创建的分析引擎,首先要迁移它。

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  • The example USES the Eclipse Tooling for UIMA, which is provided on Apache.org, to create the analysis engine.

    这个例子使用Apache.org提供的EclipseToolingfor UIMA创建分析引擎。

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  • As for analysis engine, the flow of event objects combined with current status triggers the expert system.

    在分析引擎处,事件对象流结合当前状态触发专家系统。

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  • In this article you have learned how to develop your own UIMA analysis engine and use it in InfoSphere Warehouse.

    在这篇文章中,您学习了如何开发自己的UIMA分析引擎并在InfoSphere Warehouse中使用它。

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  • Figure 7 also shows a two-way connection between the real-time analysis engine and the historical data in the databases.

    图7还显示了实时分析引擎和数据库中的历史数据之间的双向连接。

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  • And don't forget to try the high-performance code-analysis engine for both J2SE and J2EE development, CodeGuide from OmniCore.

    并且别忘了尝试一下用于J2SE和J2EE开发的高性能代码分析引擎-来自omnicore的CodeGuide。

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  • Dygest has pre-seeded each of its demo sites with a few hundred sources, but the possibilities the analysis engine presents are many.

    Dygest演示站点上事先订阅的内容来源只有几百,但是这款分析引擎所展示出来的可能性却去让人浮想联翩。

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  • Figure 1 shows an analysis engine containing annotators for named entity recognition, grammatical parsing, and relationship detection.

    图1显示一个包含用于已命名实体识别、语法分析和关系探测的注释器的分析引擎。

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  • In the OmniFind administration console, use the System: Parse page in Edit mode to add the PEAR package as a new text analysis engine.

    在OmniFind管理控制台上,使用System:Parse页面在Edit模式下将pear包添加为新的文本分析引擎。

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  • In sentiment detection, the analysis engine tries to determine how positive or negative someone feels about a given product or service.

    在情感探测中,分析引擎尝试确定某人对给定产品或服务的积极和消极感觉。

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  • You then import the analysis engine in Design Studio and create a flow using it on sample text documents that are located in a database table.

    然后,在DesignStudio中导入分析引擎,并使用它在数据库表中的样例文本文档上创建一个流。

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  • After the analysis engine is ready, you package it as a PEAR file, which is the format that InfoSphere Warehouse expects for the analysis engine import.

    分析引擎就绪之后将其打包成PEAR文件,这是InfoSphereWarehouse要求使用的分析引擎导入格式。

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  • In turn, Table 3 shows how the static analysis engine is strengthened by the new string analysis capability and the support of dynamic analysis techniques.

    反过来,表格3显示了静态分析引擎是如何被新的字符串分析性能和动态分析技巧所加强的。

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  • Although there is no business use case for such an analysis engine, it provides a simple way to demonstrate how easy it is to create a UIMA analysis engine.

    尽管没有针对这个分析引擎的业务用例,但它以一种简单的方式展示了创建UIMA分析引擎有多么容易。

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  • 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。

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  • After you have developed and successfully tested an analysis engine, you can package it to be deployed to another application as a pre-configured (text) analysis component.

    开发并成功测试了分析引擎之后,您可以打包它并将其作为预配置(文本)分析组件部署到另一个应用程序中。

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  • Simply running the data structure analysis engine code on a class isn't all that much fun because the result is just one data structure representing another data structure.

    仅仅在一个类上运行数据结构分析引擎代码,不那么有趣,因为结果只是代表另一个数据结构的数据结构。

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  • Additionally, the Apache UIMA home page and some universities have freely available analysis engine repositories that offer existing solutions you can use in InfoSphere Warehouse.

    另外,ApacheUIMA的主页和一些大学提供免费访问的分析引擎储存库,这些库提供可以在InfoSphere Warehouse中使用的解决方案。

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  • 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.

    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。

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