Microsoft Technology Licensing, LLC

Alfredo R Arnaiz

Domenic J Cipollone

Michael Koenig

Shikha Devesh Desai

Kenichiro Chiba

Nicole Michel

Dermot McLoughlin

Maria Isabel R Carpenter

Jesse Clay Satterfield

Rolf Arnold Ebeling

Ali Taleghani

Kevin Roland Powell

Kaushik Ramaiah Narayanan

Maria Del Mar Gines Marin

Susan Michele Hendrich

Michael Wilson Daniels

Kathryn V J Sullivan

Kyle Matthew Von Haden

Hany Grees Gerges

Hani Farouq Abu-Huwaij

Kevin Field

Davide Turcato

Leah Joy Brown

Marion Kremer

The present disclosure relates to processing operations configured to provide a linguistic-based approach to evaluating repetition in content of an electronic document. The approach of the present disclosure is about detecting terms/words/phrases that are likely to be perceived as being repetitious by native speakers of a language rather than just identifying the occurrence of identical words or strings in a document as done by traditional language checks. Processing of the present disclosure detects and evaluates terms or phrases using positive linguistic evidence derived from evaluation of linguistic relationships between words in a string in syntactic ways. This results in more accurate and efficient determination as to whether a term is truly repetitious at the linguistic level as compared with traditional language checks. As compared with string-based evaluation, fewer flags are raised for identification of repetitive/over-used language, but more precise/accurate identification of repetition occurs using processing of the present disclosure.

Systems and methods for identification of repetitive language in document using linguistic analysis and correction thereof

Status-based reading and authoring assistance is provided. A status-based reading and authoring assistance feature can automatically determine a status of a user and automatically adapt reading and authoring tools provided for display based on the determined status. The status-based reading and authoring assistance feature provides the right reading and authoring tools at the right time, according to the current use of the application. During a user session with respect to a productivity application that includes status-based reading and authoring assistance, signals (e.g., user actions and context information) associated with a file can be received. A status regarding the use of the file can be determined using at least the signals. The status can comprise a reading status or an authoring status (or even a sub status). Reading and authoring tools provided for a display of the productivity application can be adapted based on the status during the user session.

Status-based reading and authoring assistance

Systems and methods may be used to display document critiques on a display device. A method may include receiving information including a document type of a document. The method may include determining a set of critiques for use with the document type, the set of critiques including a critique specific to the document type. The method may include providing, on a display, feedback within the document, including a visual indication on a user interface presenting the document, based on the set of critiques, for text within the document.

Automatic document assistance based on document type

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

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Redmond, WA, United States of America

Alfredo R Arnaiz