Navigation Keyword Recognition Scoring
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Solution Overview
Problem
Users navigating to new locations face difficulties in understanding directions and translations due to unfamiliar keywords, even after language translation, as existing systems do not effectively adapt to the user's native language and cultural context.
Innovation Solution
A method and system that retrieve and score keywords associated with a destination language, translating them into the user's native language only when the score exceeds a threshold, ensuring the translated keywords are recognizable and useful for navigation, utilizing social media and map information to extract features and adapt to the user's familiarity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If all keywords are translated from destination language to native language, then language understanding is improved, but translation accuracy and user comprehension deteriorate due to unfamiliar cultural context and unrecognized terms
Solution Approach 1:
The system changes the parameter of keyword selection by scoring keywords based on their recognition probability in the user's native language. Instead of translating all keywords uniformly, it selectively translates only those with high recognition scores, thereby maintaining translation accuracy while improving overall language understanding.
Solution Approach 2:
The system applies different translation quality standards to different keywords based on their individual recognition scores. High-scoring keywords receive accurate translations, while low-scoring keywords are either translated with lower confidence or omitted, ensuring that each keyword is handled according to its specific understandability characteristics.
2Manufacturing precision
If keyword recognition scoring is implemented to filter translated keywords, then translation accuracy is improved, but system complexity increases due to additional processing steps
Solution Approach 1:
The system performs preliminary scoring of keywords based on their likelihood of recognition in the user's native language before the translation process. This preliminary action allows the system to pre-identify which keywords are worth translating, simplifying the overall process by avoiding unnecessary translation operations on low-value keywords.
Solution Approach 2:
The system extracts only the high-value keywords that meet the recognition threshold from the full set of destination language keywords. By taking out only the necessary keywords for translation, the system reduces processing complexity while maintaining translation accuracy for the most important terms.
3Productivity
If only high-scoring keywords are translated, then processing efficiency is improved, but information completeness deteriorates due to omission of lower-scoring but potentially important keywords
Solution Approach 1:
The system uses a dynamic threshold parameter for keyword scoring that can be adjusted to balance between processing efficiency and information completeness. By changing this parameter, the system can include or exclude keywords based on the specific navigation context, ensuring that important information is not lost while maintaining efficient processing.
Solution Approach 2:
The keyword translation process is made dynamic by continuously evaluating recognition scores and adaptively selecting which keywords to translate based on current navigation needs. This dynamic approach allows the system to optimize the balance between processing efficiency and information completeness in real-time during the navigation process.
Data Source
AI summary
Embodiments of the present invention provide systems and methods for internationalization of real-world features during navigation. The method includes receiving a request for navigation to a landmark in a particular language. The method further includes retrieving keywords from a database associated with the landmark, and scoring the keywords based on their level of recognition to a user. The highest ranked keywords are then sent to the user to navigate to the landmark.