Microsoft Technology Licensing, LLC

Maria Isabel Carpenter

William B Dolan

Christopher Brian Quirk

Christopher John Brockett

Zhang Li

Susan Michele Hendrich

Michael Wilson Daniels

Alice Yingming Lai

Juhi Amitkumar Naik

Shikha Devesh Desai

Domenic J Cipollone

Kaushik Ramaiah Narayanan

Maria Del Mar Gines Marin

Robin Emily Wakefield

Olivier Gauthier

Rebecca Poulson

A method and system for providing replacement text segments for a given text segment may include receiving a request to provide the replacement text segment for the text segment in the document, examining a content characteristic of the document, and examining at least one of user-specific information, organization-specific information, or non-linguistic features of the document, before identifying at least one replacement text segment for the text segment, via a machine translation system, based on the content characteristic of the document and at least one of the user-specific information, the organization-specific information, or the non-linguistic features of the document. The method and system may include providing the identified replacement text segment for display to a user, receiving an input indicating a user's selection of the identified replacement text segment, and upon receiving the input, replacing the text segment in the document with the identified replacement text segment.

Method and system for intelligently suggesting paraphrases

A method for providing targeted rewrites can include receiving a selection of text in a file; generating a set of target rewrites of the selection of text, the set of target rewrites comprising: at least one phrase or sentence having semantic similarity to a phrase or sentence of the selection of text; and a style that corresponds to a particular target style, wherein a target style is a representative style for a genre, profession, or environment; and providing for selection one or more of the target rewrites of the set of target rewrites.

Targeted rewrites

Non-limiting examples of the present disclosure describe transformation of content of a digital document on behalf of a user of an application/service. Examples describes herein extend to instances where an existing digital document (e.g. content portion) is transformed as well as examples where templatized transformations are used to create a digital document. As an example, content of a digital document may be converted into preset document format representations which are generated and suggested automatically to the user through a user interface of a productivity service or through an alternative modality (e.g. message, email, notification, etc.). This improves processing efficiency of computing devices associated with productivity services, for example, by enabling efficient digital document management through proactive contextual analysis, reducing the number of processing operations for users in real-time and reducing latency at run-time, among other examples.

Content based transformation for digital documents

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Snohomish, WA, United States of America

Maria Isabel Carpenter