PATENT CLAIM ANALYSIS

Application Number: 16200531
Application Type: Utility
Filing Date: 2018-11
Publication Date: 2019-05
Patent Classification: ["382", "100000"]

Abstract:
Methods, systems, and apparatus, including computer programs encoded on computer storage media, for speech recognition. One of the methods includes receiving a base language model for speech recognition including a first word sequence having a base probability value; receiving a voice search query associated with a query context; determining that a customized language model is to be used when the query context satisfies one or more criteria associated with the customized language model; obtaining the customized language model, the customized language model including the first word sequence having an adjusted probability value being the base probability value adjusted according to the query context; and converting the voice search query to a text search query based on one or more probabilities, each of the probabilities corresponding to a word sequence in a group of one or more word sequences, the group including the first word sequence having the adjusted probability value.

Claim (Index 23):
The one or more non-transitory computer storage media of  claim 18 , wherein the determining that the particular customized language model is to be used comprises determining one or more terms of the query and occurrences of the one or more terms by users sharing a social group with the user.

Metadata:
- Claim Count in Document: 63.0
- Percentile: 98.0
- Lexical Diversity: 2.4697
- Patent Class: 382.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15231066', '13802414', '15006392', '14719178', '11847915']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.4503881782893834
- 35 USC 102 Novelty (BERT): 0.553831220303954
- Combined Prediction Score: 0.4607324824908405
- Mean Citation Score: 397.203392
- Max Citation Score: 445.87247
- Similarity Product: 305.66799329303205

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