Microsoft Technology Licensing, LLC

Daryn Elliot Robbins

Jason Michael Bower

Eric Norman Badger

Peter Gregory Davis

Drew Elliott Linerud

Kenichi Morimoto

Chet Laughlin

Matthew David Klein

David Michael Callaghan

Scott Randall Shell

David John Linsley

Md Nazmus Sakib

Kinshumann

Dale R Rolf

Ian James McCarty

JianMing M Zhou

Mark Scott Tonkelowitz

Kenji Furuuchi

Simon Cheng Liu

Chigusa Yasuda Sansen

Marshall Christian Ramsey

Sandra E MacDonald

Nathan Charu Arora

Ian Mccarty

- Kinshumann

Jianming M Zhou

Embodiments are directed to managing software components loaded on a device by identifying a platform manifest having a valid certificate, confirming that the platform manifest is bound to the device, identifying components listed on the platform manifest, confirming that the listed components have a valid certificate, and loading listed components with valid certificates on the device. The components may be binaries and packages for an operating system. The components may be signed in an embedded manner or with detached signatures. The platform manifest may be bound to the device in a manner that allows for identification of unauthorized platform manifests.

Securely defining operating system composition without multiple authoring

Embodiments are configured to provide one or more candidates based in part on an input identifier associated with an input interface. In an embodiment, a system includes an input method editor (IME) that can be configured to provide one or more candidates based in part on a prediction model and one or more input scope values associated with an input interface. The IME can also operate to store an entered string including one or more associated input scope values to a storage component. The stored information can be used when suggesting candidates.

Predicting candidates using input scopes

Localization and/or customization of computing devices are accomplished automatically through an add-on input device. Operating system or a separate application in the computing device is arranged to communicate with or recognize the input device such as a keypad and configure parameter of the computing device such as language, user interface arrangement, communication setup, and the like accordingly without user interaction.

Automatically configuring computer devices wherein customization parameters of the computer devices are adjusted based on detected removable key-pad input devices

Efficient, updatable national language support for a mobile device is provided. NLS file segments are provided in a wrapper in the Virtual NLS file. Segments may be organized by language family. The number of segments that need to be searched is also minimized. At any point, any of the pointers for the dynamically updatable query table can be shifted around to improve performance. Existing APIs may be used for obtaining locale information by causing the APIs to iterate through all the known NLS segments in a specified search order.

Storage device that provides efficient, updatable national language support for a mobile device

Embodiments are configured to provide one or more candidates based in part on an input. In an embodiment, a system includes a prediction engine which can be configured to provide one or more ranked candidates using one or more configurable data sources and/or candidate providers. Each data source can be configured to include a candidate provider to predict and return predicted candidates. The prediction engine can use a predicted candidate to rank and return a ranked candidate to a user interface, process, or other application. In one embodiment, a computing device can include and use a prediction engine which can use a customized ranking component to rank and return ranked candidates based in part on a query type. The customized ranking component can use predicted candidates provided by one or more data sources and/or candidate providers when making a ranking determination.

Predicting candidates using information sources

Context-based word prediction is provided. A software application utilizes words contained in an application document to provide context-based word prediction in the same or a related document. The software application creates an application defined data source and populates the data source with words occurring in a document. When the same or a related document is being edited via an input method, for example, typing, speech recognition, electronic handwriting, etc., a prediction engine presents candidate words from the application defined data source that match current text input, and the user may choose from the presented candidate words for automatic population into the document being edited. Information from the application defined data source may be transferred between computing devices, for example, between a mobile computing device and a desktop (non-mobile) computing device.

Context based word prediction

Some spoken languages can be written, for example, by using a single character to represent a single word. The word can comprise a plurality of phonetic codes. A character from a datastore can be retrieved and compared against an input string which might contain the same phonetic codes.

Phonetic searching using partial characters

The names of contacts are stored as characters. Each character may include one or more phonic codes that are encoded into the character. A smart filter decodes the character into its constituent sounds. An input string is received that includes phonic codes. An application matches the decoded constituent sounds with the specified phonetic codes from the input string in accordance with rules of the spoken language and character boundaries to determine a contact to display.

Phonetic searching using multiple readings

A system and method is directed to filtering an entry associated with a Far East language character. A potential keystroke is determined for each entry in a database, contact list, text file, and the like. In one embodiment, the entry is a Unicode associated with the Far East language character. An index is determined from the Unicode based in part on the Far East language character. The index is employed to determine the potential keystroke associated with the Far East language character. If the potential keystroke approximately matches a received keystroke, the entry associated with the Far East language character is selected. In one embodiment, the Far East language character associated with the selected entry is provided to a display device. The Far East language character may include a Korean, Japanese, and Chinese language character.

System and method for filtering far east languages

Growing community of inventors

Duvall, WA, United States of America

Daryn Elliot Robbins