Patent Proofreading With Element Numeral and Acronym Normalization
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Solution Overview
Problem
Existing patent drafting technologies struggle with identifying and correcting issues related to inconsistent element numerals and acronym usage, which can lead to unclear or indefinite claims, as conventional spell and grammar checkers fail to address these context-dependent errors.
Innovation Solution
A system and method for automated patent proofreading that captures and normalizes element numerals and acronyms, flags inconsistencies, and provides user interfaces for correction, utilizing data structures and natural language processing to ensure accurate element and acronym usage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional spell and grammar checkers are used for patent drafting, then basic language errors can be detected, but context-dependent errors related to element numerals and acronym usage cannot be identified
Solution Approach 1:
The patent divides the proofreading task into separate modules: one for capturing element numeral data, another for capturing acronym data, and another for detecting inconsistencies. This segmentation allows each module to focus on specific aspects of the proofreading process, improving detection accuracy while maintaining manageable system complexity through modular architecture.
Solution Approach 2:
The patent introduces an intermediary data structure that stores element numeral and acronym information during the proofreading process. This intermediary layer enables the system to compare current document content with captured data to detect inconsistencies, thereby improving detection accuracy without requiring direct complex analysis of the entire document.
2Reliability
If automated proofreading systems are implemented to detect element numeral and acronym errors, then claim clarity can be improved, but processing time and computational resources increase
Solution Approach 1:
The patent performs preliminary actions by capturing element numeral data and acronym data during the proofreading process. This preliminary data capture enables subsequent consistency checks to be performed efficiently without requiring repeated analysis of the entire document, thereby improving claim validity while minimizing processing time through pre-computation of reference data.
Solution Approach 2:
The system uses self-service mechanisms where the proofreading tool automatically captures and stores element numeral and acronym information without requiring manual intervention. This automated self-service approach improves reliability of claim analysis while reducing processing time compared to manual review processes.
3Stability of the object's composition
If element names are normalized based on acronym definitions, then consistency of element references can be improved, but complexity of data processing increases
Solution Approach 1:
The patent applies parameter changes by transforming element names into normalized forms based on acronym definitions. This parameter transformation standardizes element references throughout the document, improving consistency while managing processing complexity through systematic application of normalization rules rather than complex analysis algorithms.
Data Source
AI summary
In a document, acronym data is captured including acronym definitions and acronym uses. In the document, element data is captured including element numerals and element names corresponding to the element numerals. The element names in the element data are normalized based at least in part on the acronym definitions. Canonical names for each of the element numerals are determined. The element data for which the normalized element names fail to match the canonical names for corresponding element numerals of the element data is flagged. The document and the flagged element data are displayed in a user interface.