PATENT CLAIM ANALYSIS

Application Number: 16240928
Application Type: Utility
Filing Date: 2019-01
Publication Date: 2019-05
Patent Classification: ["704", "232000"]

Abstract:
Symbol sequences are estimated using a computer-implemented method including detecting one or more candidates of a target symbol sequence from a speech-to-text data, extracting a related portion of each candidate from the speech-to-text data, detecting repetition of at least a partial sequence of each candidate within the related portion of the corresponding candidate, labeling the detected repetition with a repetition indication, and estimating whether each candidate is the target symbol sequence, using the corresponding related portion including the repetition indication of each of the candidates.

Claim (Index 2):
The method of  claim 1 , wherein the detecting the one or more candidates of the target symbol sequence from the speech-to-text data includes\n extracting two or more symbol sequences that constitute each of the candidates, from the speech-to-text data, wherein the two or more symbol sequences are separate from each other in the speech-to-text data.

Metadata:
- Claim Count in Document: 65.0
- Percentile: 99.0
- Lexical Diversity: 2.11628
- Patent Class: 704.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15409126', '11427954', '14090761', '15243838', '10950074']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2429495440198095
- 35 USC 102 Novelty (BERT): 0.5718318778409318
- Combined Prediction Score: 0.2758377774019217
- Mean Citation Score: 216.71397400000004
- Max Citation Score: 434.35645
- Similarity Product: 432.3294448105633

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