Autocorrecting Text Input Using Approved Corpus Validation
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Solution Overview
Problem
Current text-based communication applications are ineffective in censoring inappropriate content, especially when used by children or sensitive groups, as they fail to prevent the transmission of inappropriate material.
Innovation Solution
A system and method that autocorrects text input by validating it against a preapproved corpus and set of rules, replacing invalid words or phrases with approved alternatives, and providing user review options to ensure safe communication.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If text correction is based on typos and grammatical errors, then spelling accuracy is improved, but inappropriate content censorship is ineffective
Solution Approach 1:
The patent segments the text validation process into multiple independent components: a corpus of approved words, a set of validation rules, and an autocorrect mechanism. Each component handles a specific aspect of content safety, allowing the system to address both spelling accuracy and censorship effectiveness separately and systematically
Solution Approach 2:
The patent introduces an intermediary autocorrect mechanism that acts as a mediator between user input and the approved corpus. This intermediary automatically replaces inappropriate words with approved alternatives, bridging the gap between what users type and what content safety requirements demand
2Reliability
If an approved corpus of words is enforced, then content safety is improved, but user communication flexibility deteriorates
Solution Approach 1:
The patent implements a self-service autocorrect system that automatically identifies and replaces inappropriate words without requiring manual user intervention. The system serves itself by maintaining the approved corpus and automatically applying corrections, reducing the burden on users while maintaining content safety
Solution Approach 2:
The patent changes the parameter of word approval from a static restricted list to a dynamic approved corpus that can be expanded and updated. This allows the system to maintain content safety while adapting to new vocabulary and communication patterns over time
3Object-generated harmful factors
If automatic word replacement is performed, then inappropriate content is removed, but user intent accuracy may deteriorate
Solution Approach 1:
The patent implements a feedback mechanism where the autocorrect system monitors replacement accuracy and allows for user feedback on incorrect corrections. This feedback loop enables the system to learn from mistakes and improve its ability to preserve user intent while removing inappropriate content
Data Source
AI summary
System, method, and computer program product to autocorrect text for the purpose of matching words from an approved corpus, by: responsive to receiving a text input comprising a first word, validating the first word against a content corpus, wherein the content corpus comprises a plurality of words approved for display in an online chat, validating the first word against a set of rules, and upon determining that the first word of the text input is not validated against at least one of the content corpus and the set of rules, modifying the text input by replacing the first word with a first approved word from the content corpus.