Phrase Ambiguity Resolution Using Context-Aware Equation Packages
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Solution Overview
Problem
Existing data processing systems struggle to accurately interpret and generate meaningful information from large volumes of data due to variations in language and regional dialects, leading to ambiguities in word interpretation and grammatical analysis.
Innovation Solution
A computing system that utilizes artificial intelligence servers to ingest content, extract knowledge, and interact with user devices to facilitate the generation and utilization of knowledge, employing modules like collections, identigen intelligence, and query modules to interpret queries and gather content, ensuring high-quality responses.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If pattern recognition techniques and statistical reasoning are used to process text, then the system can handle large volumes of data, but ambiguities in word interpretation persist due to language variations and regional dialects
Solution Approach 1:
The patent introduces an intermediary semantic analysis layer between pattern recognition and final interpretation. This layer uses context-aware disambiguation mechanisms that mediate between raw text patterns and meaningful interpretation, resolving ambiguities caused by language variations and regional dialects while maintaining high data processing capacity
Solution Approach 2:
The system dynamically changes interpretation parameters based on contextual cues. Instead of using fixed statistical models, the system adjusts its interpretation framework according to detected language variants, regional dialects, and contextual semantics, thereby maintaining accuracy across diverse language inputs while processing large volumes of data
2Manufacturing precision
If grammar based techniques force words to support grammatical operations, then sentence construction is properly formed, but the actual meaning described by words is lost
Solution Approach 1:
The patent segments the language processing task into distinct layers: grammatical structure analysis and semantic meaning extraction. By separating these functions, the system can enforce proper grammatical operations while independently preserving and analyzing the actual meaning described by words, preventing loss of semantic information
Solution Approach 2:
The system adds a semantic dimension to the traditional grammatical analysis framework. Instead of forcing words to solely support grammatical operations, it operates in an expanded dimensional space where both grammatical correctness and semantic preservation are simultaneously optimized through multi-layered analysis
Data Source
AI summary
A method performed by a computing device includes identifying a symbolic representation of a phrase to produce a plurality of tokens. The method further includes generating a first equation package for the plurality of tokens that corresponds to a first permutation of a plurality of permutations of interpretation of the plurality of tokens based on one or more different meanings of the symbolic representations of the phrase. The method further includes updating, utilizing a knowledge database, the first equation package for the plurality of tokens that optimizes an interpretation confidence level for the plurality of tokens to produce a second equation package that includes a sequence of second selected equation elements that corresponds to a second permutation of the plurality of permutations of interpretation of the plurality of tokens representing a most likely interpretation of the phrase.