Ideographic Data Matching via Latin Phonetic Conversion
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional searching and matching algorithms are not well-suited for ideographic or non-English characters, such as Chinese or Japanese characters, as they are designed for English pronunciations and do not account for different dialects or non-Latin strings, limiting their effectiveness in data cleansing and standardization.
Innovation Solution
A computer-implemented framework that converts ideographic input data into Latin-based strings, generating phonetic, radical, or stroke keys to facilitate phonetic fuzzy searches, radical fuzzy searches, and stroke fuzzy searches, allowing for the retrieval of candidate records that sound or look similar, thereby correcting errors in input data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional phonetic algorithms (Soundex, Levenshtein) are used for matching, then English pronunciation matching is improved, but ideographic or non-English character matching deteriorates
Solution Approach 1:
The patent introduces an intermediary conversion process that transforms ideographic characters into Latin-based phonetic representations. This intermediary step enables the use of established phonetic algorithms while extending their applicability to non-English languages. The conversion module acts as a bridge between the input ideographic data and the phonetic matching algorithms, resolving the contradiction by making both systems compatible.
Solution Approach 2:
The patent changes the parameter representation of ideographic characters by converting them into Latin-based phonetic strings. This parameter transformation allows the data to be processed by conventional phonetic algorithms designed for English, thereby improving measurement precision while maintaining adaptability to multiple languages through the flexibility of phonetic representation.
2Measurement precision
If phonetic rules designed for English are applied, then English data matching is improved, but dialectal variations and non-Latin strings deteriorate
Solution Approach 1:
The patent creates a universal phonetic conversion system that can handle multiple languages and dialects through a single framework. The conversion module is designed to work with any ideographic or non-Latin script by transforming it into a standardized Latin-based phonetic representation, making the system multi-functional and adaptable to diverse linguistic inputs while maintaining consistent matching accuracy.
Data Source
AI summary
Described herein is a technology for facilitating searching and matching of data. In some implementations, an input data string, including one or more ideographic elements, is received and converted to a Latin-based input data string. One or more input keys may be generated based on the Latin-based input data string. A reference database may be searched for one or more candidate records indexed by at least one of the one or more input keys. If the one or more candidate records are found, a match score is determined for the one or more candidate records.