Two-Part Text Encoding for Sorting Without Normalization
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Solution Overview
Problem
Existing text representation systems require pre-processing to ensure correct sorting of text strings, which incurs computational overhead and resource inefficiencies, as they cannot natively handle the variability in human language text without additional memory storage for normalized versions.
Innovation Solution
A two-part character encoding scheme where each character is represented by a combination of an equality part and a differentiator part, allowing for efficient sorting without normalization, using a character set where each character is encoded with a fixed or variable-length bit field, enabling direct comparison and storage without additional overhead.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If text strings are pre-processed to normalize character representation (e.g., convert to all capitals), then sorting accuracy is improved, but computational overhead increases
Solution Approach 1:
The character encoding is segmented into two distinct parts: an equality part that determines sort order and a differentiator part that preserves original character identity. This segmentation allows the sorting mechanism to operate on only the equality part, eliminating the need for pre-processing normalization while maintaining accurate sort order. Characters like 'T' and 't' have the same equality part value, ensuring they sort together, while their differentiator parts preserve their original forms.
Solution Approach 2:
Different parts of the character representation serve different functions: the equality part is optimized for sorting operations while the differentiator part preserves original character properties. During sorting operations, only the equality part is accessed and processed, while the differentiator part remains untouched. This local specialization eliminates unnecessary computational overhead associated with normalizing the entire character representation.
2Productivity
If both normalized and original text strings are stored, then sorting efficiency is improved, but memory usage increases
Solution Approach 1:
Instead of storing separate normalized and original versions of text strings, the invention segments each character's representation into an equality part and a differentiator part within a unified encoding structure. This eliminates the need for duplicate storage while maintaining both sortability and original character identity. The equality part enables efficient sorting without requiring a separate normalized copy.
Solution Approach 2:
The dual-part character encoding serves multiple functions simultaneously: the equality part enables accurate sorting operations, while the differentiator part preserves original character representation for display and other operations. This multi-functionality eliminates the need for separate normalized and original text storage, as a single encoded string fulfills both purposes.
3Device complexity
If conventional character encoding is used, then text representation simplicity is maintained, but sorting requires additional pre-processing steps
Solution Approach 1:
The character encoding is divided into two functional segments: an equality part that determines sort order and a differentiator part that preserves original character identity. This segmentation is transparent to users and applications, maintaining encoding simplicity while fundamentally improving sorting operations. The sorting mechanism simply compares equality parts without requiring any pre-processing or special handling of the text data.
Data Source
AI summary
The disclosure herein describes systems and methods for representing text. For example, one disclosed embodiment is a method including the steps of receiving a plurality of text strings, each text string comprising at least one character, wherein the at least one character has a representation comprising a first part and a second part; receiving a request to sort the plurality of text strings; and sorting the plurality of text strings based on first parts of the characters of the text strings. In another embodiment, a computer-readable medium comprises program code for causing a processor to execute such a method.