IEI Module Identigen Rules for Text Interpretation Accuracy
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Solution Overview
Problem
Current computing systems face challenges in effectively extracting useful information from large volumes of data due to issues like data accuracy and variations in how text is interpreted across languages and dialects, leading to ambiguities in word meanings.
Innovation Solution
A computing system that utilizes an Identigen Entigen Intelligence (IEI) module to process and analyze content, transforming words into groupings and identifying permutations to produce a computer-based representation of human expressions, enabling accurate interpretation and knowledge extraction.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If pattern recognition techniques and statistical reasoning are used to process text, then interpretation accuracy is improved, but computational complexity increases
Solution Approach 1:
The patent segments text processing into distinct grammatical components (functional words, nouns, adjectives, verbs, adverbs) and processes each type through specialized techniques. This segmentation allows the system to apply targeted pattern recognition to specific word types rather than processing all text uniformly, improving accuracy while managing computational complexity through divided analysis.
Solution Approach 2:
The patent introduces grammatical classification as an intermediary layer between raw text and final interpretation. By first categorizing words into grammatical types and then applying appropriate analysis techniques to each category, the system creates a structured intermediate representation that improves interpretation accuracy while organizing computational efforts efficiently.
2Manufacturing precision
If grammar based techniques are used to analyze word distribution, then sentence construction accuracy is improved, but processing time increases
Solution Approach 1:
The patent applies grammatical classification and distribution analysis as preliminary actions before full sentence construction and interpretation. By pre-processing text to identify grammatical types and expected distribution patterns, the system establishes a framework that guides subsequent processing, improving sentence construction accuracy while reducing the time needed for full analysis through advance organization.
Data Source
AI summary
A method performed by a computing device includes obtaining a set of image segment identigens for image segments of an image to produce sets of image segment identigens. A set of image segment identigens is a set of possible interpretations of a first image segment of the image segments. The method further includes identifying a subset of valid image segment identigens of each set of image segment identigens by applying identigen rules to the sets of image segment identigens to produce subsets of valid image segment identigens. Each valid image segment identigen of a subset of valid image segment identigens represents a most likely interpretation of a corresponding image segment. The method further includes generating an image entigen group utilizing the subsets of valid image segment identigens, where the image entigen group represents a most likely interpretation of the image.