Text Revision Prompt Tags for Similar Error Correction
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Solution Overview
Problem
Existing text processing systems lack efficient methods for identifying and summarizing similar modifications across multiple texts, leading to suboptimal user experience and efficiency in error correction and polishing processes.
Innovation Solution
A method and apparatus for text processing that determines target texts with modification reasons, displays similar information prompt tags for texts with the same modification type, and allows users to view and modify similar texts efficiently through user interactions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If text processing systems process each target text independently, then individual text accuracy is maintained, but user efficiency deteriorates due to repeated manual correction of similar errors
Solution Approach 1:
The patent merges multiple independent text processing operations into a unified batch processing system. It identifies and groups multiple target texts with the same modification reason type, then applies modifications across all grouped texts simultaneously through a single user operation, thereby improving productivity without proportionally increasing system complexity
Solution Approach 2:
The patent creates and displays prompt tags that replicate information about similar modified texts. When one text is modified, the system generates prompt tags for other texts with similar modification reasons, allowing users to efficiently copy the modification pattern across multiple texts rather than processing each independently
2Loss of information
If the system displays all modification information for every target text, then complete information availability is achieved, but user interface complexity and information overload increase
Solution Approach 1:
The patent extracts and separates modification reason type information into distinct prompt tags that are displayed alongside target texts. Instead of showing all modification details for every text, it selectively extracts and displays only the modification reason type, allowing users to identify similar texts without being overwhelmed by complete modification information for each text
Solution Approach 2:
The patent segments modification information into distinct components: target texts, modification reason types, and prompt tags. This segmentation allows the interface to present information in a structured, hierarchical manner where users can progressively access details only when needed, reducing initial interface complexity while maintaining information completeness
3Measurement precision
If users manually review and correct each target text individually, then correction accuracy is maintained, but time consumption increases significantly
Solution Approach 1:
The patent implements a feedback mechanism where the system analyzes target texts, identifies modification reason types, and displays prompt tags indicating similar modifications. This feedback loop allows users to see patterns across multiple texts and make informed batch correction decisions, maintaining accuracy while reducing time consumption through informed bulk operations
Solution Approach 2:
The patent performs preliminary analysis of all target texts to identify modification reason types and group similar texts before the user begins correction. By pre-processing and organizing texts with similar modification reasons together, the system enables users to perform bulk corrections with a single operation, dramatically reducing time consumption while maintaining correction accuracy through the preliminary grouping analysis
Data Source
AI summary
Embodiments of the present disclosure relate to a text processing method and apparatus, a readable medium, and an electronic device. The method includes: determining, from a first text, a plurality of target texts to be modified and a modification reason type of each target text; for each target text, in response to the presence of a similar modified text corresponding to a current target text in the plurality of target texts, displaying a similar information prompt tag corresponding to the current target text, where the similar information prompt tag is used to prompt that there is a similar modified text for the current target text, and the similar modified text is a text with the same modification reason type as the current target text; and displaying similar text information in response to receiving a first operation from a user on the displayed similar information prompt tag.