Abstract:
An offline semantic processor of a resource-constrained voice-enabled device such as a mobile device utilizes an offline grammar model with reduced resource requirements in order to facilitate offline semantic processing in the resource-constrained voice-enabled device. In various implementations, a query issued at a resource-constrained device may be semantically processed to identify candidate responsive actions that are performable by the resource-constrained device. Candidate responsive action performance statistics may be analyzed to select, from the one or more candidate responsive actions, a qualifying responsive action. In various implementations, the candidate responsive action performance statistics may relate to performance of the one or more candidate responsive actions by the resource-constrained device following issuance of the query. An offline grammar model stored in the resource-constrained device may be updated to include a mapping between the issued query and the qualifying responsive action, wherein the offline grammar model maps queries to actions that are performable by the resource-constrained device while offline.