Context-Sensitive Translation Dictionary for Mobile Phones
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Solution Overview
Problem
Existing language translation tools lack context-sensitivity, requiring users to pre-load all possible phrases and failing to adapt to specific environments, especially for uncommon language combinations and cultural nuances like pictograms, and cannot efficiently update based on location or situation.
Innovation Solution
A context-sensitive dictionary is loaded onto a handheld device based on the user's location, using voice, characters, images, and sensory information to select relevant phrases, allowing for dynamic and personalized translations without needing a continuous network connection, and can be updated automatically as the user changes environments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a phrase book or translation device stores all possible phrases for all occasions, then the translation coverage is complete, but the device becomes overly complex and stores unnecessary information for unlikely occasions
Solution Approach 1:
The translation dictionary is segmented into multiple context-specific subsets (e.g., business, travel, medical, technical) rather than storing all phrases in a single monolithic structure. This allows the system to load only the relevant subset for the current situation, reducing storage requirements and improving adaptability.
Solution Approach 2:
The translation device dynamically adjusts its dictionary content based on the detected context or situation. The system can switch between different phrase subsets or update translations in real-time based on environmental factors, making the translation coverage adaptive rather than static.
2Reliability
If the translation dictionary is updated to conform to unique requirements of a specific locale, then the translation accuracy improves, but the update process becomes complex and time-consuming
Solution Approach 1:
Translation updates are prepared and validated in advance before being deployed to the device. The system can pre-process localization requirements and prepare update packages that can be quickly installed, reducing the complexity and time of actual updates in the field.
Solution Approach 2:
The system incorporates feedback mechanisms where users or administrators can report translation inaccuracies or cultural nuances, and the system automatically updates the dictionary accordingly. This continuous feedback loop improves accuracy without requiring complex manual update processes.
3Quantity of substance
If the translation device provides phrases for all possible occasions, then the completeness of translation is high, but the relevance to actual user needs decreases due to storing phrases for unlikely occasions
Solution Approach 1:
The translation system applies local quality by tailoring the phrase selection to the specific context or situation. Instead of providing a uniform set of all possible phrases, the system selects and presents only the most relevant phrases for the current local context, improving ease of operation while maintaining completeness where needed.
4Adaptability or versatility
If the translation dictionary includes detailed information for all language combinations, then the comprehensiveness is high, but the storage space required increases significantly
Solution Approach 1:
The translation dictionary is divided into segments for different language combinations and contexts. The system stores detailed information for commonly used language pairs and contexts, while using a more compact representation or external resources for less common combinations, thereby reducing overall storage space while maintaining comprehensiveness.
Solution Approach 2:
The translation system uses a nested structure where detailed translation information is stored at multiple levels of abstraction. Common translations are stored explicitly, while less common translations can be derived or accessed through hierarchical structures, reducing the total storage space required while maintaining broad language combination coverage.
Data Source
AI summary
A method and apparatus are presented for providing language translation assistance to a user of a mobile terminal. The terminal makes available a number of language translation services to the user, and the mobile terminal has a database for storing translation data. If the translation data is insufficient to cover a present or anticipated context of the mobile terminal, then the terminal sends a context change signal, and subsequently receives a data update signal that includes updates to the database. The terminal is then able to provide a changed language translation service to the user, utilizing the updates to the database.