PATENT CLAIM ANALYSIS

Application Number: 15891563
Application Type: Utility
Filing Date: 2018-02
Publication Date: 2019-06
Patent Classification: ["715", "257000"]

Abstract:
Disclosed is a data driven error model that is based on error patterns found at the morphemes level. A model is generated by error-correct patterns generator and is stored in an error-correct patterns database (ECPD). The ECPD is used in conjunction with a correction candidates' generator (CCG) to provide a list of correction candidates for a given error word. The error model can learn the types and forms of the language patterns from an annotated corpus. The error model can be used to analyze the type of error and can provide candidates corrections for wide ranges of Arabic spelling errors.

Claim (Index 12):
A method performed by one or more processors, wherein the one or more processors manage a database that stores error patterns with correction information, wherein the error patterns are generated from morphological patterns for a language in which derived words follow a specific morphological pattern, the morphological patterns include morphological pattern letters, the method performed by the one or more processors comprising:\n inputting a particular word error; and generation of correction candidates for the word error by, matching all the stored error patterns, similar in length to the word error, against the word error, and generating all the correction candidates according to the matched patterns' error patterns, the matching occurring if all the morphological pattern letters match their corresponding letters in the word error.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 88.0
- Lexical Diversity: 1.77419
- Patent Class: 715.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['14182946', '13451763', '11182214', '13475736', '09539357']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3369732039182107
- 35 USC 102 Novelty (BERT): 0.5107639966909852
- Combined Prediction Score: 0.3543522831954881
- Mean Citation Score: 225.881062
- Max Citation Score: 318.71985
- Similarity Product: 233.69837344284653

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

Dataset: test