Microsoft Technology Licensing, LLC

Alessandro Curzi

Paul Barnes

Andrew Donohoe

Ian Sultanov

Dinh Doan Van Bien

Tom Neckermann

James Cogley

Kyle Matthew Von Haden

Enrico Cadoni

Igor Ralic

Nicole Michel

Davide Turcato

A computer implemented method includes receiving text corresponding to a span of text. Language detection is performed on the received text to generate multiple language candidates. The received text is also proofed over multiple languages to generate multiple language proofing critiques. A most likely language is generated for the received text as a function of the language candidates and the multiple language proofing critiques.

Multilingual text proofing

Techniques for providing annotations in a web browser or a native application herein include analyzing the structure of a webpage to determine a topology, constructing a model of the webpage based on the topology configured to automatically monitor the topology and to update the model based on detected changes to the webpage, extracting, from the model, a first text string from textual content of a first editable node, sending at least first portion of the first text string to a server to obtain annotations, detecting that the textual content of the first editable node has been modified by a second text string modifying at least a portion of the textual content, receiving the annotations from the server comprising suggestions for improving the first text string, updating the annotations to produce reconciled annotations by modifying the annotations, and rendering the reconciled annotations over the first editable node.

Optimizing annotation reconciliation transactions on unstructured text content updates

Techniques for providing writing assistance features a web browser or a native application including an embedded web browser herein include detecting that a webpage has been rendered by the web browser; analyzing a structure of the webpage to determine a topology of the webpage by accessing a Document Object Model (DOM) of the webpage and traversing the DOM of the webpage to identify nodes comprising the webpage to determine the topology of the webpage; construct a model of the webpage based on the topology, wherein the model of the webpage is configured to automatically monitor the topology of the webpage and to update the model based on detected changes to the webpage; detect, using the model, a change in textual content of an input element of the webpage; obtain annotation information associated with the textual content; and render the annotations over at least a portion of the webpage.

Framework for augmenting document object model trees optimized for web authoring

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

The present invention enables a system to efficiently maintain an ancillary pane containing a projection of document content, and content derived therefrom, while the underlying document is being edited. In one embodiment, an acronym pane displays a list of acronyms used in a document and one or more expansions of those acronyms. A data store containing maps is used to index which paragraphs contain which acronyms, and which acronyms are associated with which expansions. As sections of content are added, modified, or deleted, acronyms and expansions are added to and/or removed from the data store, causing the acronym pane to be updated.

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Dublin, Ireland

Alessandro Curzi