Translation Manager System for Context-Aware Web Terminology
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Solution Overview
Problem
Current translation technologies, including human and machine-assisted translation products, fail to accurately translate industry-specific terms and internal jargon, leading to inefficiencies in web page customization, as users must manually suggest changes which are cumbersome and difficult to implement across multiple web pages with varying contexts.
Innovation Solution
A translation manager system that identifies key-locations on web pages, allows users to suggest and validate translations, and updates a digital translation table dynamically, enabling context-specific and efficient translation updates across all instances of web pages.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If machine-assisted translation products are used to translate web pages, then translation speed is improved, but translation accuracy for industry-specific terms and internal jargon deteriorates
Solution Approach 1:
The translation system segments text into translatable elements identified by key-locations, separating generic translation from context-specific translation. This allows machine translation to handle general terms while human reviewers focus on industry-specific terms and internal jargon at identified key-locations.
Solution Approach 2:
The patent introduces key-locations as intermediaries between machine translation and final translation output. These key-locations mark specific text elements that require special attention, acting as a bridge that guides post-editing efforts to where they are most needed while maintaining machine translation efficiency for the rest of the content.
2Measurement precision
If users manually suggest translation changes by capturing screens and contacting administrators, then translation accuracy can be improved, but operational efficiency deteriorates
Solution Approach 1:
The system enables self-service translation suggestions by allowing users to directly submit translation corrections through the web interface without needing to capture screens or contact administrators. Users can select text elements and propose translations immediately, which are then processed and applied automatically or with minimal administrative review.
Solution Approach 2:
The patent implements a feedback mechanism where translation suggestions from users are collected, validated, and applied to improve future translations. The system tracks which translations are corrected and uses this feedback to refine the translation process, creating a continuous improvement loop that maintains accuracy while reducing operational overhead.
3Measurement precision
If administrators update translation code elements to implement suggested changes, then translation accuracy is improved, but system complexity and difficulty of implementation increase
Solution Approach 1:
The system uses key-locations as templates or copies that can be applied across multiple web pages and instances. Instead of manually updating code elements on each page, administrators define translations once at the key-location level, and the system automatically applies these translations across the entire application, dramatically reducing complexity.
Solution Approach 2:
The patent performs preliminary identification of key-locations and translation requirements before the actual translation update process. By pre-marking text elements with key-locations and preparing translation suggestions in advance, the system simplifies the implementation process, allowing administrators to apply translations with a single action rather than navigating complex code structures.
4Stability of the object's composition
If translation changes are applied to all instances of web pages, then consistency is improved, but context relevance may deteriorate due to varying usage contexts
Solution Approach 1:
The system applies local quality by allowing different translation treatments for different key-locations based on their specific contexts. While maintaining consistency for standard terms across all pages, the system enables context-specific translations for key-locations where usage varies, ensuring both consistency and relevance simultaneously.
Solution Approach 2:
The patent implements dynamic translation application where translations can be selectively applied to different instances of web pages based on context. The system allows administrators to choose whether to apply a translation suggestion globally across all instances or only to specific contexts, making the translation system adaptable to varying usage scenarios while maintaining consistency where appropriate.
Data Source
AI summary
A method and system for a translation manager system are described. The translation manager system allows a web translation application to insert the proper translations into web pages generated by the translation manager system. The translation manager system properly identifies how a page is reached by the user, as well as where in the page the user has selected to make their suggestion. The translation manager system uses key-locations to identify different areas where the user may make a suggestion and the web page may include multiple key-locations.