PATENT CLAIM ANALYSIS

Application Number: 15917880
Application Type: Utility
Filing Date: 2018-03
Publication Date: 2018-07
Patent Classification: ["704", "244000"]

Abstract:
A method of updating a grammar model used during speech recognition includes obtaining a corpus including at least one word, obtaining the at least one word from the corpus, splitting the at least one obtained word into at least one segment, generating a hint for recombining the at least one segment into the at least one word, and updating the grammar model by using at least one segment comprising the hint.

Claim (Index 25):
A method of performing speech recognition, the method comprising:\n obtaining speech data to perform speech recognition; detecting at least one segment of the speech data by performing speech recognition based on a speech recognition model comprising appearance probability information of the at least one segment and its hint; and recombining the detected at least one segment into a word based on the hint of the detected at least one segment, wherein the speech recognition model includes the at least one segment split from the word in a prescribed number, the prescribed number is determined based on a size of the speech recognition model.

Metadata:
- Claim Count in Document: 41.0
- Percentile: 90.0
- Lexical Diversity: 2.17143
- Patent Class: 704.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['15137217', '15544198', '15331311', '15093323', '15216121']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2486482570699192
- 35 USC 102 Novelty (BERT): 0.6167898239917382
- Combined Prediction Score: 0.2854624137621011
- Mean Citation Score: 333.34690200000006
- Max Citation Score: 565.2276
- Similarity Product: 504.00208023819926

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