Dynamic Word Meaning Display for Electronic Messages
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Solution Overview
Problem
Existing technologies fail to dynamically determine whether a user understands the meaning of a word in electronic messages, leading to inefficient translation and pronunciation assistance, as they rely on static language levels that do not account for changes in user proficiency over time or usage situations.
Innovation Solution
An apparatus and method that extract words from electronic messages, acquire history information on user interaction with those words, and dynamically determine whether to display their meanings based on viewing, usage, and dictionary consultation history, ensuring that only necessary translations are provided.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If automatic dictionary consultation is implemented for all words, then language learning support is improved, but communication efficiency deteriorates due to excessive translations
Solution Approach 1:
The system dynamically changes the parameter of dictionary consultation frequency based on user proficiency level. As the user's language level improves over time, the system automatically reduces the frequency of dictionary consultations recommended to the user, thereby balancing learning support with communication efficiency
Solution Approach 2:
The system implements a feedback mechanism where the user's interaction history with the dictionary (consultation frequency, types of words looked up) is continuously monitored and used to adjust future dictionary consultation recommendations, optimizing the balance between learning support and communication flow
2Device complexity
If static language level criteria are used to determine dictionary consultation, then device complexity is reduced, but adaptability deteriorates as user proficiency changes over time
Solution Approach 1:
The system transitions from a static language level criterion to a dynamic determination mechanism that automatically adjusts dictionary consultation recommendations based on the user's changing proficiency level over time, ensuring the system remains adaptive without increasing operational complexity for the user
Solution Approach 2:
The system performs preliminary analysis of user interaction patterns and language level changes in advance, automatically updating the determination criteria before the user's needs change significantly, thereby maintaining adaptability without requiring real-time complex processing
3Measurement precision
If manual translation lookup is required for each word, then translation accuracy is improved, but time consumption increases significantly
Solution Approach 1:
The system applies partial automation to dictionary consultation by automatically determining which words require translation based on user level and context, rather than requiring manual lookup for every word. This partial action maintains translation accuracy for necessary words while eliminating unnecessary lookups that consume time
Data Source
AI summary
An apparatus and method for determining whether the meaning of a word included in an electronic message needs to be presented to a user, according to a dynamic determination whether the user currently knows the meaning of the word. In a client, a communication control unit receives a message sent between users, a morphological analysis unit extracts a word from the message, and a history acquisition unit acquires history information on viewing, usage, or the like of the word. A display determination unit determines whether the meaning of the word needs to be displayed, according to the acquired history information, the language level of a user stored in a user level storage unit, and the difficulty level of the word stored in a dictionary storage unit. An input/output control unit performs control such that the meaning of the word is presented to the user according to the determination result.