PATENT CLAIM ANALYSIS

Application Number: 15938286
Application Type: Utility
Filing Date: 2018-03
Publication Date: 2019-01
Patent Classification: ["704", "232000"]

Abstract:
A method and apparatus for correcting a speech recognition result, a device and a computer-readable storage medium are provided. The method includes performing speech recognition on acquired speech data to obtain initial text information; and recognizing and correcting the initial text information by a neural machine translation NMT model to obtain a final text recognition result.

Claim (Index 4):
The method according to  claim 3 , wherein determining the attention mechanism hidden vector based on the target hidden vector and the source hidden vector comprises:\n outputting a center position of the source hidden vector by the decoder in the NMT model, and acquiring a source hidden vector of a word at at least one preset position according to the center position; calculating an aligning weight based on the source hidden vector of the word at the at least one preset position and the target hidden vector, and obtaining a context vector based on the aligning weight; and calculating the attention mechanism hidden vector based on the context vector and the target hidden vector.

Metadata:
- Claim Count in Document: 1.0
- Percentile: 90.0
- Lexical Diversity: 1.53846
- Patent Class: 704.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['15843055', '14749747', '13417725', '15843047', '15216121']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2885197306003652
- 35 USC 102 Novelty (BERT): 0.4830501562469479
- Combined Prediction Score: 0.3079727731650235
- Mean Citation Score: 196.346864
- Max Citation Score: 204.86461
- Similarity Product: 152.65434514969587

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