Context-Aware Language Translation Using Environmental Sensors
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Solution Overview
Problem
Current language translation methods often provide inaccurate results when translating homophones or polysemous words due to a lack of consideration for the usage environment and conversation context.
Innovation Solution
An electronic device equipped with sensors and a processor that receives input and translates it based on surroundings factors, such as location and environmental data, to provide context-specific translations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If translation is performed without considering usage environment and conversation context, then translation speed is fast, but translation accuracy deteriorates for homophones and polysemous words
Solution Approach 1:
The system performs preliminary actions by detecting usage environment information and conversation context before translation occurs. Sensors capture environmental data (location, time, weather) and the system retrieves relevant conversation history, preparing these contextual factors in advance so they can be immediately applied to disambiguate homophones and polysemous words during translation, thereby improving accuracy without adding complexity during the translation process itself
Solution Approach 2:
The patent introduces usage environment information and conversation context as intermediary elements between the input text and translation output. These intermediaries act as mediators that bridge the gap between literal translation and intended meaning, allowing the system to resolve ambiguities in homophones and polysemous words by considering contextual clues from the environment and conversation history rather than relying solely on the text itself
2Reliability
If translation does not consider surrounding environment information, then device complexity is low, but translation reliability deteriorates
Solution Approach 1:
The system achieves multi-functionality by utilizing a single electronic device with integrated sensors, processor, and translation module to perform multiple tasks: environmental data collection (location, time, weather detection), conversation context management, and translation processing. This universal approach allows the device to reliably translate homophones and polysemous words by considering various contextual factors without requiring separate specialized systems for each function
Solution Approach 2:
The patent implements feedback mechanisms where the system continuously monitors usage environment information and conversation context, using this feedback to dynamically adjust translation decisions. The translation process incorporates feedback from environmental sensors and conversation history to resolve ambiguities in real-time, improving reliability by allowing the system to learn from and adapt to contextual patterns rather than relying on static translation rules
Data Source
AI summary
An electronic device is provided. The electronic device includes one or more sensors, a display device, and a processor, wherein the processor may be configured to control receiving an input, control translating the input based on at least one of a surroundings factor or a translation factor, and control providing a translation result based on at least one of the surroundings factor or the translation factor.