Microsoft Technology Licensing, LLC

Benoit Jules Jurion

Chakrapani Appalabattula

Steven Chai

Sashi Raghupathy

Richard Jennings Duncan

Gavin M Gear

Subha Bhattacharyay

Ross Nathaniel Luengen

Zoltan C Szilagyi

Herry Sutanto

Timothy H Kannapel

Jamie N Wakeam

Patrick M Haluptzok

Michael David Revow

Haiyong Wang

Jerome J Turner

Todd M Landstad

Sebastian Poulose

Roman Snytsar

Richard Kane Sailor

Terri L Chudzik

Lidia Schwarz

Amber P Race

A method and system for checking the validity of a sequence of input characters according to the syntactical rules of a selected language is provided. If an input character may not begin a valid sequence of characters, or if the input character may not be appended to a previously input sequence of characters according to the rules of the selected language, the newly input character may be prohibited from being displayed singularly or appended to the previous sequence and displayed on the user's computer. Previously input character sequences may be edited by determining the sequence validity context of previously input sequences of characters.

Method and system for character sequence checking according to a selected language

A system and method for assisting with analysis and recognition of ink is described. Analysis hints may be associated with a field. The field may receive electronic ink. Based on the identity of the field and the analysis hint associated with it, at least one of analysis and recognition of ink may be assisted.

Analysis hints

An improved system and method for personalizing recognition of an input method is provided. A trainable handwriting recognizer may be personalized by using ink written by the user and text authored by the user. The system includes a personalization service engine and a framework with interfaces for collecting, storing, and accessing user ink and authored information for training recognizers. The trainers of the system may include a text trainer for augmenting a recognizer's dictionary using text content and a shape trainer for tuning generic recognizer components using ink data supplied by a user. The trainers may load multiple trainer clients, each capable of training one or more specific recognizers. Furthermore, a framework is provided for supporting pluggable trainers. Any trainable recognizer may be dynamically personalized using the harvested information authored by the user and ink written by the user.

System and method for personalization of handwriting recognition

A method and system for checking the validity of a sequence of input characters according to the syntactical rules of a selected language is provided. If an input character may not be appended to the previously input sequence according to the rules of the selected language, the newly input character may be prohibited from being appended to the sequence and displayed on the user's computer. Previously input and validated characters automatically may be replaced with a newly input character for formation and display of a valid sequence of characters containing the newly input character. A newly input character may be inserted between two characters of a previously validated sequence of characters. Previously input character sequences may be edited by determining the validity context of previously input sequences of characters.

Method and system for automatic type and replace of characters in a sequence of characters

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Seattle, WA, United States of America

Benoit Jules Jurion