Translation Engine Retranslation for Quality Improvement
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Solution Overview
Problem
Translation engine modules, despite being updated, do not efficiently utilize their latest versions to improve translation quality for previously translated sentences, leading to suboptimal translation outcomes.
Innovation Solution
A control method and apparatus that retranslate sentences using an updated translation engine module, incorporating link information such as address or position data to enhance translation quality, allowing for the output of improved translation sentences and their corresponding metadata.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If the translation engine module is updated to the latest version, then the translation quality for currently requested source language is improved, but the previously translated sentences cannot benefit from the updated translation quality
Solution Approach 1:
The system performs preliminary actions by storing the original source sentences and their corresponding translation results before the translation engine is updated. When an update occurs, these stored sentences are automatically retranslated using the new engine version, ensuring that previously translated content benefits from improved translation quality without requiring manual intervention.
Solution Approach 2:
The system implements a feedback mechanism where translation results are monitored and stored. When the translation engine is updated, the system automatically triggers retranslation of stored source sentences and updates the translation results with the new engine's output, creating a closed-loop system that continuously improves translation quality across all content.
2Manufacturing precision
If the translation engine module is updated to the latest version, then the translation quality is improved, but the device complexity increases due to version management and retranslation processes
Solution Approach 1:
The translation management system is designed to handle multiple functions: it stores source sentences, manages translation results, monitors engine version updates, and automatically triggers retranslation processes. This multi-functional approach consolidates what could be separate complex systems into a unified management mechanism, reducing overall system complexity while maintaining improved translation quality.
Solution Approach 2:
The system performs self-service by automatically detecting when the translation engine is updated and initiating retranslation of stored source sentences without requiring manual intervention. The system manages its own update process, storing necessary data in advance and automatically applying improvements when updates occur, thereby reducing the complexity of manual version management.
3Manufacturing precision
If all previously translated sentences are retranslated using the updated translation engine module, then the overall translation quality across all content is improved, but the processing time and computational resources increase
Solution Approach 1:
The system performs preliminary actions by maintaining a storage of original source sentences and their associated metadata before translation engine updates. This preliminary data preparation enables efficient batch retranslation operations, as the system only needs to retranslate sentences that were affected by the update rather than processing all content from scratch, thereby improving overall translation quality while maintaining processing efficiency.
Solution Approach 2:
The system applies partial action by selectively retranslating only those sentences that were translated using the old engine version and are marked for update. Rather than unnecessarily retranslating all content, the system performs targeted retranslation on affected sentences, optimizing the balance between improving overall translation quality and maintaining processing efficiency.
Data Source
AI summary
A control method includes receiving a sentence and link information about the sentence, outputting a first translation sentence by retranslating the sentence into a language corresponding to a user command by using a translation engine, in response to the translation engine being updated, generating a second translation sentence by retranslating the sentence, and outputting the second translation sentence and the link information. Therefore, the translation apparatus improves a quality of translation sentence, which is translated before a translation engine is updated, through the translation engine that is updated as a latest version.