Input Method Editor Language Mode Auto-Configuration
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Solution Overview
Problem
In digital workspace environments, users face inconvenience due to the need to frequently change input language settings when communicating with colleagues in different languages, leading to inefficiencies in communication workflows.
Innovation Solution
A system and method that utilize a target language server to determine the target language for communications based on user account information and communication content, automatically configuring the language mode of an input method editor (IME) to match the recipient's language, thereby streamlining language changes during communication sessions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If users manually change input language settings for each communication, then communication accuracy is improved, but user productivity deteriorates due to frequent manual interventions
Solution Approach 1:
The system automatically detects the recipient's language and configures the input method editor without user intervention. The IME monitoring component continuously checks for language changes in outgoing communications and self-adjusts the input language setting, eliminating the need for users to manually change languages while maintaining communication accuracy.
Solution Approach 2:
The system implements a feedback loop where the IME monitoring component detects language changes in communications, processes this information through the language determination module, and automatically adjusts the input method accordingly. This closed-loop feedback mechanism ensures the input language matches the recipient's language while improving productivity.
2Productivity
If the system automatically detects and changes language settings, then user productivity is improved, but system complexity increases due to additional monitoring and detection components
Solution Approach 1:
The IME monitoring component serves multiple functions: it monitors outgoing communications for language changes, determines the target language, and configures the input method editor. By making this single component multi-functional, the system achieves automatic language detection and adjustment without adding numerous separate components, thus improving productivity while limiting complexity increase.
Solution Approach 2:
The patent combines the language detection, language determination, and IME configuration functions into an integrated automated system. The IME monitoring component and language determination module work together as a unified mechanism that automatically adjusts input language based on communication content, reducing system complexity compared to having separate components for each function.
3Measurement precision
If the system monitors communication content to determine target language, then language accuracy is improved, but processing time increases due to additional analysis requirements
Solution Approach 1:
The system analyzes communication content to determine the target language by examining relevant portions of the message such as recipient information and communication metadata. Rather than performing exhaustive analysis of the entire communication content, the system focuses on key indicators that sufficiently determine the target language, thereby improving accuracy while minimizing additional processing time.
Data Source
AI summary
Techniques are disclosed for determining a target language for a communication session and configuring a language mode of an input method editor (IME) to the target language. An example methodology implementing the techniques includes, by a computing device, detecting a communication to a recipient via a software application running on the computing device, determining a target language for the communication, and configuring a language mode of an input method editor to the target language. The target language may be determined based on an attribute or attributes of the recipient of the communication. In some cases, the target language may be determined based on an attribute or attributes of a contents of a prior communication.