Microsoft Technology Licensing, LLC

Nicole Michel

Michael Koenig

Shikha Devesh Desai

Alfredo R Arnaiz

Kenichiro Chiba

Dermot McLoughlin

Maria Isabel R Carpenter

Jesse Clay Satterfield

Rolf Arnold Ebeling

Alessandro Curzi

Hany Grees Gerges

Hani Farouq 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

Methods, systems, and media are shown for calculating an estimated amount of time needed to read a document. The estimate is based on historical session data. Reading sessions are identified in part by excluding sessions that include non-reading user behavior signals, such as adding text to the document, printing, or changing formatting. Reading sessions are further identified by generating session clusters based on shared attributes, and for each cluster, determining if a relationship exists between session time and the shared attribute. If a relationship exists, sessions are excluded if they don't fit the relationship. Once reading sessions are identified, coefficients for a formula are generated that are applied to an unseen document to estimate reading time. Each coefficient is associated with an element type. The coefficients are derived by iteratively analyzing documents with one unknown element type and subtracting out contributions of known element types.

Estimating document reading time based on apparent user reading activity

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

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Dublin, Ireland

Nicole Michel