PATENT CLAIM ANALYSIS

Application Number: 15969042
Application Type: Utility
Filing Date: 2018-05
Publication Date: 2018-08
Patent Classification: ["365", "185090"]

Abstract:
A method of scrubbing errors from a semiconductor memory device including a memory cell array and an error correction circuit, can be provided by accessing a page of the memory cell array to provide a data that includes sub units that are separately writable to the page of memory and to provide parity data configured to detect and correct a bit error in the data and selectively enabling write-back of a selected sub unit of the data responsive to determining that the selected sub unit of data includes a correctable error upon access as part of an error scrubbing operation.

Claim (Index 11):
A method of scrubbing errors from a semiconductor memory device including a memory cell array and an error correction circuit, the method comprising:\n accessing a page of the memory cell array to provide data that includes sub units that are separately writable to the page of the memory cell array and to provide parity data configured to detect and correct a bit error in the data; selectively enabling write-back of a selected sub unit of the data responsive to determining that the selected sub unit of the data includes a correctable error upon access as part of an error scrubbing operation, wherein a size of the sub units corresponds to a size of data that is pre-fetched in a read operation and a write operation of the semiconductor memory device; and wherein the size of the sub units is less than a size of a codeword unit of the semiconductor memory device.

Metadata:
- Claim Count in Document: 44.0
- Percentile: 93.0
- Lexical Diversity: 1.82143
- Patent Class: 365.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['15290339', '15398409', '15348315', '15238216', '15204536']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.8361722541052391
- 35 USC 102 Novelty (BERT): 0.5544535282826314
- Combined Prediction Score: 0.8080003815229784
- Mean Citation Score: 357.6728720000001
- Max Citation Score: 429.4095
- Similarity Product: 422.11702938151353

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