Morpheme Analyzer Using Additional Information for Search Accuracy
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Solution Overview
Problem
Current morpheme analysis methods in search engines face performance deterioration due to unregistered words, ignored spacing in morpheme analysis targets, and single morphemes containing additional morphemes, leading to unsatisfactory and inaccurate search results.
Innovation Solution
A method that utilizes additional information such as category and address information to create keys for morpheme analysis, allowing for the inclusion of partial character strings in the analysis without separating syllables, thereby improving search accuracy and handling unregistered words by temporarily adding them to a dictionary.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If morpheme analysis is performed using only space separation, then the analysis process is simple, but search accuracy deteriorates when unregistered words exist or spacing is ignored
Solution Approach 1:
The patent introduces additional information (category information, address information) as intermediary elements to bridge the gap between simple space-separated morpheme analysis and accurate search results. These additional information serve as mediators that enable the system to handle unregistered words and spacing issues without fundamentally changing the analysis process complexity.
Solution Approach 2:
The patent extends the morpheme analysis from a single dimension (space separation) to multiple dimensions by incorporating category information and address information. This dimensional expansion allows the system to accurately identify key terms even when spacing is ignored or unregistered words are present, significantly improving search accuracy while maintaining process simplicity.
2Measurement precision
If additional information is incorporated into morpheme analysis, then search accuracy improves, but device complexity increases
Solution Approach 1:
The patent makes the morpheme analyzer multi-functional by enabling it to handle not only standard morpheme analysis but also unregistered words, spacing variations, and additional information integration. The analyzer can universally process various types of input data (category information, address information, morpheme information) using the same core mechanism, thereby improving search accuracy without proportionally increasing system complexity.
Solution Approach 2:
The system performs self-service by automatically utilizing additional information (category and address) that is already associated with the morpheme analysis target. The analyzer self-adjusts and self-corrects by incorporating this additional information into its analysis process, improving accuracy without requiring external complex processing systems or manual intervention.
3Measurement precision
If syllables are separated in morpheme analysis, then the analysis is more precise, but retrieval rate decreases when spacing is ignored
Solution Approach 1:
The patent introduces dynamic adaptability to the morpheme analysis process by enabling it to adjust its behavior based on the input data characteristics. When spacing is ignored or additional information is present, the analyzer dynamically modifies its syllable separation process, choosing to maintain syllable integrity when appropriate. This dynamic approach allows the system to achieve both analysis precision and high retrieval rate by adapting to different data scenarios.
Data Source
AI summary
A method of performing a morpheme analysis by utilizing additional information is provided. The method includes acquiring an analysis target phrase and additional information associated with the target phrase. A term is obtained form the additional information. And the phrase is analyzed to extract a key term or keyword by using the term extracted from the additional data.