Message Processing Device for Language Comprehension
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Solution Overview
Problem
Conventional message processing technologies fail to ensure that messages transmitted over the Internet are written in a language understandable to the destination user, leading to ineffective communication.
Innovation Solution
A message processing device that includes an estimator to determine understandable words, an extractor to identify and emphasize portions of a message not matching the estimated language, and an indicator to notify the sender, thereby preventing the transmission of unintelligible content.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If the character code is determined based on whether the from address contains Japanese words, then the encoding process is simple, but the destination user may not understand the message language
Solution Approach 1:
The system performs preliminary language estimation and extraction of unintelligible portions before message transmission. By estimating the destination user's understandable language in advance and identifying portions that do not match this language, the system prepares the message for potential language adaptation, resolving the contradiction between simple encoding and message understandability.
Solution Approach 2:
The system introduces an intermediary language estimation mechanism between the sender and destination user. This intermediary estimates the destination user's language preferences and identifies unintelligible portions, acting as a mediator that bridges the gap between simple encoding processes and effective communication.
2Productivity
If the entire message language is identified without considering destination user comprehension, then the processing is fast, but communication effectiveness is reduced
Solution Approach 1:
The system segments the message into intelligible and unintelligible portions based on the destination user's estimated language. By dividing the message body into these segments and highlighting the unintelligible portions, the system maintains fast processing while enabling targeted language adaptation to improve communication effectiveness.
Solution Approach 2:
The system applies local quality by treating different portions of the message differently. Instead of uniformly processing the entire message, it identifies and highlights only the unintelligible portions that require language adaptation, preserving processing speed while improving communication effectiveness where needed.
3Ease of operation
If no language adaptation is provided, then the message transmission is straightforward, but the destination user cannot understand the message
Solution Approach 1:
The system implements feedback by highlighting unintelligible portions to the sender, enabling them to understand which parts of the message may not be comprehensible to the destination user. This feedback mechanism allows the sender to revise the message for better comprehension while maintaining transmission simplicity.
Solution Approach 2:
The system enables self-service by allowing the sender to identify and correct unintelligible portions themselves based on the highlighted feedback. The sender can independently improve message comprehension without requiring complex automated translation services, maintaining operational simplicity while improving reliability.
Data Source
AI summary
A message processing device (10) includes an estimator (11), an extractor (12), and an indicator (13). The estimator (11) estimates words understandable to a destination user (1). The extractor (12) extracts, from a message (3) created by a transmission originator user (2), a portion that does not match the words estimated by the estimator (11). The indicator (13) indicates, to the transmission originator user (2), the message (3) with the extracted portion by the extractor (12) being in an emphasized manner.