Microsoft Technology Licensing, LLC

Kenichiro Chiba

Michael Koenig

Shikha Devesh Desai

Alfredo R Arnaiz

Nicole Michel

Dermot McLoughlin

Maria Isabel R Carpenter

Jesse Clay Satterfield

Rolf Arnold Ebeling

Hany Grees Gerges

Hani Farouq Abu-Huwaij

Hani Farouq Aref Abu-Huwaij

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

In non-limiting examples of the present disclosure, systems and methods for providing customizable electronic document review options within electronic document processing applications are provided. An analysis of an electronic document may be performed comprising a review of an electronic document for a plurality of style issues, a plurality of spelling issues and a plurality of grammar issues. A proofing task pane having a plurality of selectable options may be displayed. A total number of identified issues associated with each of the plurality of style issues, the plurality of spelling issues and the plurality of grammar issues may be displayed in the task pane based on the analysis of the electronic document. A value associated with the electronic document may be calculated based on a fluency metric associated with the electronic document and an indication of the fluency value for the electronic document may be displayed in the task pane.

Proofing task pane

Enhanced contextual menu technology is disclosed herein. In an implementation, when a user selects content in a user interface to an application, a context associated with the content is identified. A child menu in a contextual menu hierarchy is then selected based on the context and is rendered in the user interface. In some implementations, the child menu includes a navigational element that links back to a parent of the child menu in the contextual menu hierarchy.

Context based selection of menus in contextual menu hierarchies

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Redmond, WA, United States of America

Kenichiro Chiba