Apple Inc.

Lewis N Perkins

Kurt W Piersol

Timothy Robert Oriol

Jessica J Peck

Nathan Taylor

Antoine R Raux

Kevin D Pitolin

Thorvaldur Pall Helgason

Luca Simonelli

Cedric Bray

Antonio M Cancio

Peter E Boothroyd

Gayathri Sairamkrishnan

Pierre Belin

Deniz Dizman

Helmut Garstenauer

Keith S Brisson

Systems and processes for operating a digital assistant are provided. An example method includes, at an electronic device with one or more processors and memory, while an application is open on the electronic device: receiving a spoken input including a command, determining whether the command matches at least a portion of a metadata associated with an action of the application, and in accordance with a determination that the command matches at least the portion of the metadata associated with the action of the application, associating the command with the action, storing the association of the command with the action for subsequent use with the application by the digital assistant, and executing the action with the application.

Digital assistant control of applications

Systems and processes for operating an intelligent automated assistant are provided. For example, an intelligent automated assistant obtains a static vocabulary entry for an application and registers the static vocabulary entry to a knowledge base. While the application is running, the intelligent automated assistant receives a request from the application to register a dynamic vocabulary entry, and also registers the dynamic vocabulary entry. Upon receiving a user input, the intelligent automated assistant determines whether a matching vocabulary entry for the application has been registered and causes the application to perform a task based on the matching vocabulary entry.

Application vocabulary integration with a digital assistant

Systems and processes for operating an intelligent automated assistant are provided. An intelligent automated assistant receives a user input and generates a set of one or more token sequences based on the user input. The set of one or more token sequences are interpreted to generate a plurality of candidate interpretations each including a corresponding action and metadata associated with the action. A top candidate interpretation is selected from the plurality of candidate interpretations, and the corresponding action is performed based on the associated metadata.

Ambiguity resolution for application integration

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Cambridge, MA, United States of America

Lewis N Perkins