Centralized Language Data Structure Translation Management
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Solution Overview
Problem
Current language translation and management techniques are complex and costly due to the need for multiple parties and manual coordination across different time zones, leading to difficulties in synchronizing and distributing information in multiple languages, which can result in delayed product releases.
Innovation Solution
A language translation and management system comprising a language creator, linker, and distributor that populates a master language data structure with base language entries, links them to translations in supported languages, and distributes them on demand, allowing for automated and centralized management.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual coordination is used to manage translations across multiple parties and time zones, then translation quality can be maintained, but the complexity and cost of management increases significantly
Solution Approach 1:
The patent introduces a centralized translation management system that acts as an intermediary between the original content and various language translations. This system provides a unified interface and automated workflows, reducing the complexity of coordinating multiple translators across time zones while maintaining quality through centralized control and tracking.
Solution Approach 2:
The patent replaces manual mechanical coordination processes with automated computer-based systems. The system automatically manages translation requests, tracks progress, handles approvals, and distributes translated content, eliminating the need for manual communication and coordination across multiple parties and time zones.
2Adaptability or versatility
If multiple parties are involved in translation management, then comprehensive language coverage is achieved, but the cost and time required for synchronization increases
Solution Approach 1:
The patent implements continuous automated processes for translation management. The system continuously monitors translation status, automatically notifies relevant parties, and maintains synchronization across all language versions without interruption, eliminating delays associated with manual batch processing and coordination.
Solution Approach 2:
The patent incorporates feedback mechanisms where the centralized system continuously monitors translation progress and automatically adjusts workflows. The system provides real-time status information to all parties and automatically triggers next steps based on translation completion, reducing synchronization delays.
3Reliability
If frequent modifications to information occur, then content remains up-to-date, but the effort required to update and synchronize all language versions increases
Solution Approach 1:
The patent implements preliminary action by pre-configuring translation workflows, templates, and automation rules before modifications occur. When content changes, the system automatically applies pre-established translation processes, eliminating the need to manually re-coordinate each update and maintaining productivity during frequent modifications.
4Productivity
If synchronized product releases across multiple languages are pursued, then market entry efficiency improves, but the coordination effort and cost increase
Solution Approach 1:
The patent merges all translation management activities into a single centralized system that handles multiple languages and regions simultaneously. This unified approach enables synchronized product releases across all markets from a single coordination point, improving market entry efficiency while reducing the complexity of managing separate translation processes for each language.
Data Source
AI summary
Techniques are presented for automatic language translation and management. A master language data structure houses information in a base language and houses linkages to the information for translations in a plurality of different languages. The information and translations are created, updated, managed, and distributed from the master language data structure on demand.