Text Message Term Replacement for Grammatical Accuracy and Meaning
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Solution Overview
Problem
Existing technologies fail to effectively tailor messages for specific target audiences by not adequately considering grammatical accuracy and meaning preservation when replacing terms, leading to inefficiencies in conveying messages.
Innovation Solution
A computer-implemented method that receives original input text, compares definitions and meanings of candidate replacement terms, assesses grammatical accuracy, and ranks them based on weighted criteria to optimize message effectiveness for target audiences.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If term replacement is performed without adequate grammatical accuracy assessment, then message customization for target audiences is improved, but grammatical correctness deteriorates
Solution Approach 1:
The system implements feedback loops where generated messages are evaluated against grammatical rules and meaning preservation criteria. The results of these evaluations feed back into the term replacement process, allowing the system to learn from errors and improve future replacements. This ensures that message customization does not compromise grammatical correctness.
Solution Approach 2:
The system performs preliminary assessments of candidate replacement terms by evaluating their grammatical accuracy and meaning preservation before final selection. This preliminary filtering ensures that only terms meeting both customization and grammatical correctness requirements are considered for replacement.
2Productivity
If multiple candidate replacement terms are evaluated with comprehensive criteria, then message effectiveness is improved, but computational complexity increases
Solution Approach 1:
The evaluation process is segmented into distinct modular components: grammatical accuracy assessment, meaning preservation analysis, and effectiveness scoring. Each component operates independently and can be processed in parallel, reducing overall computational complexity while maintaining comprehensive evaluation.
Solution Approach 2:
The system dynamically adjusts evaluation parameters and weighting criteria based on the specific context and target audience. This allows the comprehensive evaluation to be optimized for each case, reducing unnecessary computational overhead while maintaining message effectiveness.
3Productivity
If term replacements are made without meaning preservation analysis, then communication efficiency is improved, but message fidelity deteriorates
Solution Approach 1:
The system replaces manual meaning verification with automated semantic analysis algorithms. These algorithms efficiently compare the meaning of original terms with candidate replacements using computational linguistics methods, preserving message fidelity without sacrificing communication efficiency.
Data Source
AI summary
At least some embodiments are directed to a computer-implemented method that comprises receiving original input text that includes a term, comparing a definition of the term to definitions of multiple candidate replacement terms to generate a set of candidate replacement terms, and substituting each of the candidate replacement terms in the set for the term in the original input text to produce a plurality of modified input texts. The method also comprises determining the grammatical accuracy of each of the plurality of modified input texts, comparing meanings of the modified input texts to a meaning of the original input text, and modifying the set of candidate replacement terms based on the determinations of grammatical accuracy and the comparisons of the meanings. The method still further comprises ranking the modified set of candidate replacement terms using one or more criteria, and displaying the ranking on a display.