Microsoft Technology Licensing, LLC

Textio, Inc.

Dawn Marie Wright

Matthew Jay Kotler

Cynthia Christine Shelly

Karen K Wong

Gary Allan Pritting

Scott A Sherman

Ilan Berker

Lawrence Fubini Waldman

Lutz Gerhard

Jesse Clay Satterfield

Jensen Michael Harris

Richard J Wolf

Crystal L Hoyer

Brent Gilbert

Kevin William Humphreys

Martin David McClellan

Kim Tapia St Amant

Laurie Lee Dermer

Orion Buckminster Montoya

Christopher William Harland

Olivia Ann Gunton

Aaron P Jasinski

Samuel S Wan

Shama Joshi

An electronic input document presented on a display of a client is examined to identify a text unit in the electronic input document and contextual information about the input document. A set of annotations for the text unit and the input document are determined responsive to the contextual information for the text unit. Responsive to the set of annotations, a set of candidate texts are identified from a corpus of documents that can replace the text unit. The candidate texts are evaluated in the set of candidate texts to identify a subset of the set of candidate texts as a set of replacement texts for the text unit. At least one replacement text from the set of replacement texts is presented on the display of the client.

Passively suggesting text in an electronic document

A user can request suggestions for text to insert at a position in an electronic input document. A set of annotations is obtained from the input document and contextual information associated with the document. A set of candidate texts from source documents are identified for the suggested text and evaluated. Each evaluation may indicate a likelihood that the corresponding candidate text is suitable to insert at the requested position of the input document. One or more of the candidate texts are presented to the client device as the suggested text to insert at the requested position of the electronic document.

Suggesting text in an electronic document

A facility for generating a graphic image is described. The facility receives from a user a body of text whose creation is not subject to any rules or prototypes. The facility discerns from the body of text a textual organization. The facility then generates a graphic image conveying the discerned textual organization.

Automatically converting text to business graphics

A method and system for rendering graphics based on user customizations in a computer graphics application are disclosed. The customizations relate to various properties of one or more graphical elements in the graphic. Such properties include positioning, size, formatting and other visual attributes associated with the graphical elements. These properties may be defined as either semantic properties or presentation properties. Semantic properties are persistent across all graphic definitions. Presentation properties are specific to the graphic definition to which each particular graphic belongs. Thus, a customization to a semantic property of a displayed graphic is preserved in memory for application not only to the currently displayed graphic, but also to all other graphic definitions that may be displayed in the future. In contrast, a customization to a presentation property is only preserved for the currently displayed graphic, and thus not preserved for all other graphic definitions.

Maintaining graphical presentations based on user customizations

Managing data across a semantic data view and a presentation data view may be provided. A semantic model may be represented in a semantic data view and a presentation model may be represented in a presentation data view. The presentation model may correspond to a graphical representation of the semantic model. In addition, a command may be received directed toward the semantic data view or the presentation data view. The semantic model and the presentation model may be operated upon according to the received command. Furthermore, the semantic model represented in the semantic data view and the presentation model represented in the presentation data view may be updated in response to operating on the semantic model and the presentation model according to the received command. The semantic model and the presentation model may be simultaneously maintained in a volatile memory in a computer.

Managing data across a semantic data view and a presentation data view

A breadcrumb path for use in navigating a hierarchical data set may be supplemented with one or more supplemental breadcrumbs representing preferred locations within the hierarchical data set. The supplemental breadcrumb may represent a previously visited location within the hierarchical data set, and may be further limited to the previously visited locations that are subordinate to the currently selected location. The supplemental breadcrumb may also represent a frequently visited location within the hierarchical data set. For scoped hierarchical data sets, the preferred location may represent a previously visited location within the scope of the selected location, or a frequently visited location within the scope of the selected location. Several embodiments of user interface components featuring such supplemented breadcrumb lists and having various advantages are presented, as well as a few contexts for applying such supplemental breadcrumbs in a breadcrumb list.

Breadcrumb list supplementing for hierarchical data sets

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Seattle, WA, United States of America

Dawn Marie Wright