Automatic Sentence Punctuation via Confidence Thresholds
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current information handling devices lack the ability to automatically add correct punctuation to sentences, requiring users to manually input punctuation or rely on inefficient suggestions, which disrupts the natural flow of language input and thought process.
Innovation Solution
An information handling device system that receives user input, identifies sentences, determines the correct punctuation using a processor, and automatically modifies the input based on a confidence level exceeding a predetermined threshold, allowing for intelligent insertion, removal, or rearrangement of punctuation marks.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If automated punctuation insertion is implemented, then productivity is improved, but device complexity increases
Solution Approach 1:
The system automatically detects sentence boundaries and inserts appropriate punctuation marks without requiring user intervention. The processor analyzes the input text, identifies where punctuation should be added, and performs the insertion autonomously, improving productivity while keeping the user interface simple.
Solution Approach 2:
The system pre-identifies sentence boundaries and determines the correct punctuation marks before the user completes their input. By analyzing the text structure and context in advance, the system prepares and inserts punctuation automatically, enhancing efficiency without adding visible complexity to the user experience.
2Measurement precision
If confidence threshold is set high for automated punctuation, then punctuation accuracy is improved, but user effort increases
Solution Approach 1:
The system uses a confidence threshold mechanism that provides feedback on punctuation accuracy. When the processor is highly confident about the correct punctuation based on sentence analysis, it automatically inserts the punctuation without user intervention. This feedback loop maintains high accuracy while minimizing user effort by trusting the system's judgment in clear cases.
Solution Approach 2:
The system dynamically adjusts the confidence threshold parameter based on the input text characteristics and processing results. By optimizing this parameter, the system achieves high punctuation accuracy while maintaining ease of operation, allowing automated insertion when confidence is sufficient without forcing user review in all cases.
Data Source
AI summary
An aspect provides a method, including: receiving, at an information handling device input component, user input comprising a sentence; identifying, using a processor, the sentence; determining, using the processor, correct punctuation for the sentence identified; determining, using the processor, a confidence level for the correct punctuation determined; and responsive to the confidence level exceeding a predetermined threshold, automatically modifying, using the processor, the sentence based on the correct punctuation determined. Other embodiments are described and claimed.