Customized User Dictionary Blending for Multi-Language Input
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Solution Overview
Problem
Existing dictionaries are inadequate for modern electronic-device users who frequently mix words from multiple languages, and they lack user customization, with inefficient processes for adding custom words and poor portability across different communication channels.
Innovation Solution
Customized dictionaries are created for individual users or groups by analyzing word usage frequencies across various communication channels, blending frequently used words, and adjusting coefficients based on user-specific factors like device type, language, and cultural background, allowing for dynamic updates and tailored dictionaries for different contexts.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a standard dictionary is used for all users, then the dictionary structure remains simple and easy to maintain, but it cannot accommodate user-specific language needs and multi-language mixing
Solution Approach 1:
The dictionary is segmented into a standard dictionary component and a customized dictionary component. The customized dictionary is further divided into user-specific sections based on communication channels and word usage frequencies. This segmentation allows the system to maintain a simple standard dictionary while adding customization capabilities through separate, manageable components.
Solution Approach 2:
The dictionary system is designed to serve multiple functions: it acts as both a standard dictionary for general use and a customized dictionary for user-specific needs. The same dictionary infrastructure supports multiple languages, multiple communication channels, and multiple user preferences, making the system universally applicable across different scenarios without requiring separate dictionary structures for each case.
2Adaptability or versatility
If users manually add words to the standard dictionary, then customization is possible, but the process is inefficient and time-consuming
Solution Approach 1:
The system enables self-service customization by automatically analyzing user input across different communication channels and identifying frequently used words. Users don't need to manually add words; instead, the system autonomously collects data from their communications, determines usage frequencies, and automatically incorporates relevant words into their customized dictionary based on predefined criteria and thresholds.
Solution Approach 2:
The system performs preliminary analysis of user language patterns before the user even requests customization. By continuously monitoring and analyzing communication data in the background, the system prepares the customized dictionary in advance, so when a user needs it, the customization is already complete or near-complete, eliminating the time users would otherwise spend on manual word addition.
3Adaptability or versatility
If a customized dictionary is created for each user, then language support becomes personalized and effective, but the complexity of managing multiple dictionaries increases
Solution Approach 1:
A single dictionary management system handles both standard and customized dictionaries for all users. The system uses a unified infrastructure that can dynamically switch between standard and customized dictionary modes, and can serve multiple users simultaneously. This universal approach eliminates the need for separate management systems for each user's customized dictionary, reducing overall complexity while maintaining personalization capabilities.
Solution Approach 2:
The customized dictionary is nested within the standard dictionary structure. The customized portion contains user-specific words and variations, while the standard dictionary provides the foundational language data. This nesting allows the system to manage dictionaries hierarchically, where the customized layer builds upon rather than replaces the standard layer, simplifying management by maintaining a clear parent-child relationship between dictionary components.
4Reliability
If the dictionary is updated frequently to reflect current usage, then it remains relevant and useful, but the effort and resources required for updates increase
Solution Approach 1:
The dictionary update process operates periodically based on accumulated data rather than continuously. The system collects usage data over defined time periods, analyzes trends, and performs updates at regular intervals or when threshold criteria are met. This periodic approach ensures the dictionary remains relevant by incorporating current language usage while avoiding the inefficiency of constant, minor updates, thus balancing reliability with productivity.
Data Source
AI summary
In one embodiment, constructing one or more customized dictionaries for a particular user, each of the customized dictionaries comprising a different blending of one or more frequently used words collected from texts submitted by one or more users; and in response to the user inputting text to an electronic device, selecting one of the customized dictionaries and utilizing it to aid the particular user in inputting text.