PATENT CLAIM ANALYSIS

Application Number: 15911114
Application Type: Utility
Filing Date: 2018-03
Publication Date: 2018-07
Patent Classification: ["704", "221000"]

Abstract:
Disclosed are a voice recognition system and a construction method for the voice recognition system. By way of layering the system, a general semantic recognition operation for the system is separated from a specific semantic recognition operation for an application program; and by way of classifying the application programs and abstracting out a common performance function, the system can find the application program matching the voice content semantics very efficiently and a third-party program is easily added into the existing voice recognition system. The present invention maps many performance function to a preset expression with semantic variables, so that the system can recognize more semantic expression manners with optimization of the semantic recognition. Therefore, the system can show more humanized characteristics.

Claim (Index 3):
The speech recognition system according to  claim 1 , wherein when the obtained text content matches a preset expression with semantic variables of a class node in the registration center, manners in which the speech recognition system selects the application program further comprises:\n If the matching preset expression with semantic variables does not specify an application name, the speech recognition system will select all the application programs that belong to the matching class node.

Metadata:
- Claim Count in Document: 1.0
- Percentile: 90.0
- Lexical Diversity: 1.91176
- Patent Class: 704.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['14909741', '13515811', '12689629', '10316588', '15425099']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2448726516963647
- 35 USC 102 Novelty (BERT): 0.5452059305282296
- Combined Prediction Score: 0.2749059795795512
- Mean Citation Score: 220.927776
- Max Citation Score: 383.06448
- Similarity Product: 309.29303785145765

Labels:
- Claim Label 101: 1
- Claim Label 102: 1
- Claim Label 103: 1
- Claim Label 112: 0
- Combined Label: 1
- Label 101 Adjusted: 1

Dataset: test