Textio, Inc.

Olivia Ann Gunton

Jesse Clay Satterfield

Jensen Michael Harris

Dawn Marie Wright

Kevin William Humphreys

Martin David McClellan

Christopher William Harland

Orion Buckminster Montoya

Laurie Lee Dermer

An electronic input document presented on a display of a client is examined to identify a text unit in the electronic input document and contextual information about the input document. A set of annotations for the text unit and the input document are determined responsive to the contextual information for the text unit. Responsive to the set of annotations, a set of candidate texts are identified from a corpus of documents that can replace the text unit. The candidate texts are evaluated in the set of candidate texts to identify a subset of the set of candidate texts as a set of replacement texts for the text unit. At least one replacement text from the set of replacement texts is presented on the display of the client.

Passively suggesting text in an electronic document

A user can request suggestions for text to insert at a position in an electronic input document. A set of annotations is obtained from the input document and contextual information associated with the document. A set of candidate texts from source documents are identified for the suggested text and evaluated. Each evaluation may indicate a likelihood that the corresponding candidate text is suitable to insert at the requested position of the input document. One or more of the candidate texts are presented to the client device as the suggested text to insert at the requested position of the electronic document.

Suggesting text in an electronic document

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Seattle, WA, United States of America

Olivia Ann Gunton