Invention Application
US20160350320A1 DYNAMICALLY UPDATABLE OFFLINE GRAMMAR MODEL FOR RESOURCE-CONSTRAINED OFFLINE DEVICE 有权
用于资源约束的离线设备的动态更新的离线灰度模型

  • Patent Title: DYNAMICALLY UPDATABLE OFFLINE GRAMMAR MODEL FOR RESOURCE-CONSTRAINED OFFLINE DEVICE
  • Patent Title (中): 用于资源约束的离线设备的动态更新的离线灰度模型
  • Application No.: US14723305
    Application Date: 2015-05-27
  • Publication No.: US20160350320A1
    Publication Date: 2016-12-01
  • Inventor: Sangsoo SungYuli GaoPrathab Murugesan
  • Applicant: Google Inc.
  • Main IPC: G06F17/30
  • IPC: G06F17/30 G10L17/22
DYNAMICALLY UPDATABLE OFFLINE GRAMMAR MODEL FOR RESOURCE-CONSTRAINED OFFLINE DEVICE
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 to parse voice-based queries received by the device. The offline grammar model may be generated from a larger and more comprehensive grammar model used by an online voice-based query processor, and the generation of the offline grammar model may be based upon query usage data collected from one or more users to enable a subset of more popular voice-based queries from the online grammar model to be incorporated into the offline grammar model. In addition, such a device may collect query usage data and upload such data to an online service to enable an updated offline grammar model to be generated and downloaded back to the device and thereby enable a dynamic update of the offline grammar model to be performed.
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