PATENT CLAIM ANALYSIS

Application Number: 15874075
Application Type: Utility
Filing Date: 2018-01
Publication Date: 2018-05
Patent Classification: ["704", "273000"]

Abstract:
Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for modulating language model biasing. In some implementations, context data is received. A likely context associated with a user is determined based on at least a portion of the context data. One or more language model biasing parameters based at least on the likely context associated with the user is selected. A context confidence score associated with the likely context based on at least a portion of the context data is determined. One or more language model biasing parameters based at least on the context confidence score is adjusted. A baseline language model based at least on the one or more of the adjusted language model biasing parameters is biased. The baseline language model is provided for use by an automated speech recognizer (ASR).

Claim (Index 18):
The system of  claim 16 , wherein determining that the particular context that is associated with biasing the language model is no longer applicable comprises determining that a predetermined period of time has elapsed.

Metadata:
- Claim Count in Document: 51.0
- Percentile: 86.0
- Lexical Diversity: 2.53333
- Patent Class: 704.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['14673731', '14739287', '15605475', '15432620', '14811190']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2758494671287658
- 35 USC 102 Novelty (BERT): 0.5390654361589409
- Combined Prediction Score: 0.3021710640317833
- Mean Citation Score: 271.777962
- Max Citation Score: 368.43057000000016
- Similarity Product: 245.9746049145681

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