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INTELLIGENT INFERENCES OF AUTHORING FROM DOCUMENT LAYOUT AND FORMATTING

机译:文档布局和格式的创作的智能推论

摘要

Non-limiting examples of the present disclosure describe processing that generates intelligent inferences of authoring from analysis of attributes associated with a digital file being imported in an application/service. Examples described herein are configured to work with any type of application/service including an authoring application/service. For instance, a request to import a digital file is received in an application/service. The application/service may be configured to analyze the digital file and generate authoring inferences based on an analysis of attributes of the digital file. For example, a conversion data model may be utilized to identify a file type of the digital file, analyze attributes of the identified digital file (e.g. content portions, layout, formatting, metadata, etc.) and output file data in a format that is tailored for the application/service based on authoring inferences. A converted representation of the digital file is surfaced in the application/service based on output of the file data.
机译:本公开的非限制性示例描述了从分析与在应用程序/服务中导入的数字文件相关联的属性的分析生成智能推论的处理。这里描述的示例被配置为与包括创作应用/服务的任何类型的应用/服务一起工作。例如,在应用程序/服务中接收到导入数字文件的请求。应用/服务可以被配置为分析数字文件并基于对数字文件的属性的分析来生成创作推广。例如,可以利用转换数据模型来标识数字文件的文件类型,分析所识别的数字文件(例如内容部分,布局,格式化,元数据等)的属性,并以一种格式输出文件数据根据创作推断为应用程序/服务量身定制。基于文件数据的输出,数字文件的转换表示在应用程序/服务中浮出。

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