Chinese Character Sorting via Stroke Order and Count
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Solution Overview
Problem
The traditional radical method for sorting and searching Chinese characters is plagued by vague and irregular definitions of radicals, leading to inefficiencies and confusion, while the stroke and stroke order methods face challenges with numerous characters having the same stroke count and pronunciation-based methods struggle with characters of unknown pronunciation.
Innovation Solution
A method and device that sort Chinese characters based on the first basic character-forming component, using the stroke order to obtain the First Character code, with the number of strokes and stroke string as secondary and tertiary sorting fields, prioritizing the First Character code, to create a systematic and efficient sorting and searching system.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If the radical method is used to sort and search Chinese characters, then characters can be grouped by meaning and structure, but the definition and position of radicals are vague and lack strict regularity, making it difficult to determine the correct radical for many characters
Solution Approach 1:
The patent changes the sorting parameters from radical-based classification to stroke-based classification. Instead of using vague radical definitions, the system uses objective parameters: stroke count (primary) and stroke order (secondary). This transformation eliminates the ambiguity of radical determination while maintaining effective character grouping capability.
Solution Approach 2:
The patent replaces the traditional manual radical identification process with an automated stroke analysis system. The system mechanically counts strokes and determines stroke orders through algorithmic processing, substituting the subjective human judgment of radical classification with an objective computational approach.
2Manufacturing precision
If the stroke and stroke order method is used to sort Chinese characters, then sorting becomes more systematic, but there are too many characters with the same number of strokes, making it inconvenient to find specific characters
Solution Approach 1:
The patent segments the sorting process into two distinct stages: first sorting by stroke count (coarse segmentation), then sorting by stroke order within each stroke count group (fine segmentation). This multi-level segmentation approach systematically organizes characters while enabling efficient retrieval by progressively narrowing down the search space.
Solution Approach 2:
The patent adds a second sorting dimension (stroke order) to the first dimension (stroke count). When characters have the same stroke count, the system sorts them by stroke order, effectively moving from one-dimensional to two-dimensional sorting. This resolves the congestion problem of too many characters with identical stroke counts.
3Productivity
If the Chinese pinyin method is used to sort Chinese characters, then phonetic searching becomes efficient, but characters with unknown or unfamiliar pronunciation cannot be retrieved
Solution Approach 1:
The patent introduces stroke count and stroke order as intermediary sorting criteria that bridge the gap between visual character recognition and systematic organization. These intermediaries allow users to search for characters with unknown pronunciation by visually identifying stroke characteristics, while still maintaining a structured sorting system.
4Adaptability or versatility
If traditional radical methods are used, then characters can be classified by meaning, but the process takes a lot of time and often requires giving up in the end due to confusion
Solution Approach 1:
The patent replaces the complex human cognitive process of radical identification with a simple mechanical counting process. Instead of analyzing character meanings and structures to determine radicals, the system mechanically counts strokes and applies predetermined stroke order rules, dramatically reducing lookup time while eliminating confusion.
Data Source
AI summary
The invention discloses a method and a device for sorting Chinese characters, searching for Chinese characters and constructing a dictionary, and relates to the technical field of computers. A specific implementation of the method includes: obtaining the first basic character-forming component of a Chinese character according to the stroke order as the First Character, and encoding the First Character to obtain the First Character code, where the First Character includes the first character-forming component and the first main stroke component of a Chinese character; obtaining the number of strokes included in each Chinese character, and obtaining the corresponding stroke string of each Chinese character; using the First Character code as the first and highest priority sorting field, the number of strokes as the second sorting field, and the stroke string as the third and the lowest priority sorting field to sort Chinese characters. This embodiment can solve the problem of difficulty in sorting and searching of Chinese characters caused by the unfixed definition and position of radicals.