Chinese Character Input Using Multi-Dimensional Uncertainty Information
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Users face difficulties in correctly inputting Chinese characters due to incomplete memory of phonetic alphabet or glyph information, as existing methods rely on single types of information, limiting the ability to input characters based on uncertainty information.
Innovation Solution
A method and device that extract and utilize at least two types of uncertainty information, such as tone, structural configuration, radical, homophone, and location information, to determine and output the correct Chinese characters, allowing for input even with incomplete memory of pronunciation or glyph information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a single type of information (phonetic alphabet or glyph) is used for Chinese character input, then the input method is simple, but users cannot finish inputting characters based on incomplete memory
Solution Approach 1:
The patent segments the Chinese character input process into multiple independent information dimensions: phonetic information (pinyin), graphic information (glyph structure), and context information (surrounding characters). Each dimension can be independently provided by the user, and the system processes them separately before integrating results. This allows users to input characters using any combination of available information without requiring complete knowledge of all aspects.
Solution Approach 2:
The patent creates a universal input framework that accepts multiple types of uncertainty information (phonetic, graphic, contextual) and processes them through a unified algorithm. The system can handle various input scenarios: complete information, partial information, or different combinations of information types, making it adaptable to users' varying levels of memory and knowledge without requiring separate input methods for each scenario.
2Measurement precision
If multiple types of uncertainty information are extracted and combined, then accurate character determination is achieved, but information processing complexity increases
Solution Approach 1:
The patent transforms the character identification problem from a single-dimensional search (matching complete glyphs or phonetic strings) into a multi-dimensional space where each dimension represents a different type of information (phonetic, graphic, contextual). The algorithm searches for matches across these dimensions independently, then integrates results. This dimensional approach allows accurate identification even when some dimensions have incomplete or uncertain data, as matches in other dimensions can compensate.
Solution Approach 2:
The patent introduces an intermediary processing layer that receives multiple types of uncertainty information, normalizes them into a unified representation format, and mediates between the diverse input formats and the character database. This intermediary layer handles the complexity of integrating different information types, managing the matching process across phonetic, graphic, and contextual dimensions, and producing a consolidated result without exposing complexity to the user.
3Ease of operation
If handwriting input is used for characters with unrecalled glyphs, then character amnesia is accommodated, but input efficiency decreases due to difficulty in recalling even rough profiles
Solution Approach 1:
The patent performs preliminary processing and analysis of the information provided by the user before initiating the full character matching process. When a user provides partial information (such as knowing only the phonetic or only contextual clues), the system pre-processes this information to generate potential candidate sets, which are then refined through additional processing. This preliminary action allows the system to quickly narrow down possibilities and present relevant options to the user, maintaining input speed even with incomplete information.
Solution Approach 2:
The patent implements a partial matching approach where the system does not require complete information to proceed with character identification. Instead, it performs partial matching on the available information (phonetic, graphic, or contextual) and uses probabilistic algorithms to rank candidate characters. This allows users to input characters with minimal information while the system compensates by analyzing patterns and relationships in the provided partial data, maintaining reasonable input efficiency without requiring complete character profiles.
Data Source
AI summary
The present invention provides a method and device for realizing Chinese character input based on uncertainty information, wherein the method comprises: receiving input information from a user; extracting at least two types of uncertainty information of Chinese characters to be input, from the input information; and, determining the matched Chinese characters according to the at least two types of uncertainty information and outputting the matched Chinese character(s). The device comprises a receiving module, an extracting module and a matching module. The method and device as provided by the present invention allow a user who has incomplete memory of pronunciation or glyph information of Chinese characters to be input to realize correct input of the Chinese characters by defining a certain range for candidate characters corresponding to the Chinese characters to be input, in combination with at least two types of the extracted uncertainty information of the Chinese characters to be input.