PATENT CLAIM ANALYSIS

Application Number: 15862615
Application Type: Utility
Filing Date: 2018-01
Publication Date: 2019-07
Patent Classification: ["704", "275000"]

Abstract:
Methods, systems, apparatus, including computer programs encoded on a computer storage medium, for a user device to learn offline voice actions. In one aspect, the method includes actions of detecting, by the user device, an utterance at a first time when the user device is connected to a server by a network, providing, by the user device, the utterance to the server using the network, receiving, by the user device and from the server, an update to the grammar of the user device, detecting, by the user device, a subsequent utterance of the utterance at a second time when the user device is not connected to the server by a network, and in response to detecting, by the user device, the subsequent utterance of the utterance at the second time, identifying, by the user device, an operation to perform based on (i) the subsequent utterance, and (ii) the updated grammar.

Claim (Index 19):
The non-transitory computer-readable medium of  claim 15 , wherein receiving, by the user device and from the server, an update to the grammar of the user device based on the one or more terms comprises:\n receiving, by the user device, the one or more terms; and updating the grammar of the user device to include the one or more terms.

Metadata:
- Claim Count in Document: 67.0
- Percentile: 86.0
- Lexical Diversity: 2.93443
- Patent Class: 704.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['13838379', '14726943', '13892590', '13690997', '15241538']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.333550517297266
- 35 USC 102 Novelty (BERT): 0.4917149243195228
- Combined Prediction Score: 0.3493669579994917
- Mean Citation Score: 211.25063
- Max Citation Score: 235.63902
- Similarity Product: 172.62331109991433

Labels:
- Claim Label 101: 1
- Claim Label 102: 1
- Claim Label 103: 1
- Claim Label 112: 1
- Combined Label: 1
- Label 101 Adjusted: 1

Dataset: test