Microsoft Technology Licensing, LLC

Hany Grees Gerges

Kaushik Ramaiah Narayanan

Michael Koenig

Christopher Michael Maloney

Shikha Devesh Desai

Maria Del Mar Gines Marin

Olivier Gauthier

Alfredo R Arnaiz

Kenichiro Chiba

Nicole Michel

Maria Isabel R Carpenter

Dermot McLoughlin

Girdhar Beriwal

Kailas Lokhande

The present disclosure relates to processing operations configured to provide, through an adapted user interface of an application/service, seamless application of autocorrection for an electronic document and provision of review insights into the autocorrections. In addition to applying autocorrections, processing described herein selectively determines when to apply an autocorrection (e.g., while a user is entering an input or after) and further highlights autocorrections, through a user interface, in a manner that instantly lets a user know that an autocorrection has occurred and/or what type of autocorrection is being applied. Moreover, an adapted user interface provides user interface features than enable access to an intelligent user interface menu that provides a user with feedback mechanisms to better understand the types of autocorrections that were made to their electronic document as well as improve processing efficiency for reversing an autocorrection and/or making further autocorrection changes to an electronic document.

Systems and methods for seamless application of autocorrection and provision of review insights through adapted user interface

In non-limiting examples, the present disclosure is directed to systems and methods for performing an analysis of an electronic document comprising a review for a plurality of writing issues related to the electronic document's conformance to a specified target audience; causing, in an application associated with the electronic document, one or more flagged writing issues identified by the analysis of the electronic document to be displayed; receiving a selection of a flagged writing issue; and based on the selection of the flagged writing issue, causing, in a contextual menu, one or more alternative suggestions to replace text associated with the flagged writing issue to be displayed, the one or more alternative suggestions based, at least in part, on a fluency metric and a resemblance of the one or more alternative suggestions to the text associated with the flagged writing issue.

Contextual menu with additional information to help user choice

The present disclosure relates to systems and methods that are configured to semi-automate data transformation processing so that content can be transformed, from one type of electronic document, for presentation in another type of electronic document. For instance, data transformation suggestions, for transforming content from a first form into a presentation form (second form), may be generated and presented to a user through an improved user interface of an application/service that is used to display the first form of the content. The improved user interface provides a new user interface menu to manage the data transformation suggestions and/or export/import processing of data from one type of electronic document to another. Based on user selection of the confirming data transformation suggestions through the user interface menu, a presentation document is automatically generated on behalf of the user, for example, in a different application/service.

Systems and methods for semi-automated data transformation and presentation of content through adapted user interface

A suggestion service is disclosed herein that provides suggested diagrammatic representations of textual information in content. The suggestion service receives a request for a suggested diagrammatic representation of the textual information included in a content item. The suggestion service also identifies a layout for the suggested diagrammatic representation based on a type of the textual information. The suggestion service further produces the suggested diagrammatic representation of the textual information based on the layout. The suggestion service replies to the request with the suggested diagrammatic representation(s).

Providing suggested diagrammatic representations of user entered textual information

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Bothell, WA, United States of America

Hany Grees Gerges