Content Dimensions for CMS Translation Quality
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Solution Overview
Problem
Current content management systems (CMS) and translation management systems (TMS) face inefficiencies when used together, particularly in leveraging content dimensions for language translation, pre-rendering content to remove localization-related syntax, scoring content for localizability, and continuous translation refinement.
Innovation Solution
Implementing a system that allows content dimensions to be associated with content items in a CMS, pre-renders content to remove localization-specific syntax, scores content for localizability, and continuously refines translations using automated delivery mechanisms within a TMS.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If content dimensions are associated with content items in CMS and provided to TMS for translation, then translation quality is improved, but device complexity increases
Solution Approach 1:
The system segments translation management by introducing content dimensions (such as platform, style, audience, format) that divide translation content into distinct categories. Each content item can have multiple dimensions associated with it, allowing the TMS to handle different translation variants separately. This segmentation enables more precise translation quality control while managing complexity through structured organization of translation data.
Solution Approach 2:
The patent introduces additional dimensions beyond simple source-target language translation. By adding metadata dimensions (platform, style, audience, format, etc.) to content items, the system creates a multi-dimensional translation space. This allows the same source content to be translated into multiple target variants based on different dimension combinations, improving translation quality without requiring a complete system redesign.
2Productivity
If pre-rendering is performed to remove localization-related syntax, then translation processing efficiency is improved, but use of energy increases
Solution Approach 1:
The system performs pre-rendering of content items before translation to remove or neutralize localization-related syntax elements. By preparing content in advance and stripping away platform-specific or localization-dependent syntax, the TMS receives cleaner, more translation-friendly content. This preliminary action reduces the complexity of the translation processing itself, improving overall efficiency despite the initial computational cost.
Data Source
AI summary
A content management system (CMS) and a translation management system (TMS) can utilize content dimensions for content items to manage and translate the content items between languages. Machine and human translations of complex dynamic content can also be improved by pre-rendering the content to remove localization-related syntax prior to machine or human translation. Content items can also be scored as to their suitability for localization prior to translation, and translation can be skipped for content items that do not have a sufficiently high score. Semantic and natural language processing (NLP) techniques can also be utilized for content categorization and routing. Translations of content items can also be continuously refined and higher quality re-translated content can be provided in an automated fashion.