User Interface for Natural Language Translation Using Attributes
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Solution Overview
Problem
Traditional automatic document translation systems lack customization and flexibility in balancing translation adequacy and fluency, often failing to meet the expectations of the target audience, leading to suboptimal translations.
Innovation Solution
A user interface-driven approach that allows users to select translation attributes such as adequacy or fluency, with the system analyzing and adjusting the translation accordingly, using machine translation and context settings to optimize the translation based on user preferences.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If traditional machine translators are used, then translation speed and cost-effectiveness are improved, but translation adequacy and fluency deteriorate
Solution Approach 1:
The system dynamically adjusts translation parameters and attributes based on user input and document characteristics. The machine translator is configured with adjustable attributes (such as formality level, literalness, and fluency) that can be modified during the translation process to optimize both speed and quality according to specific needs.
Solution Approach 2:
The invention changes the parameters of the translation system by introducing configurable attributes that control the translation process. These attributes allow the system to adjust the balance between translation speed and quality metrics like adequacy and fluency, resolving the contradiction by making the translation process adaptable to different requirements.
2Loss of energy
If traditional machine translators are used, then translation cost is reduced, but translation quality and audience satisfaction worsen
Solution Approach 1:
The system enables users to self-configure translation attributes based on their specific needs and constraints. By allowing end-users to adjust translation parameters without requiring expert intervention or manual post-editing, the system maintains cost-effectiveness while improving translation quality to meet audience expectations.
Solution Approach 2:
The translation system dynamically adapts to different user needs and document types by adjusting its attributes in real-time. This dynamic capability allows the system to maintain high translation quality across diverse scenarios without proportionally increasing costs, as the automation handles the adaptation process.
3Ease of operation
If traditional machine translators are used, then translation process is simplified, but flexibility and customization worsen
Solution Approach 1:
The machine translator is designed with multi-functionality, serving both simple and complex translation needs through a single unified system. The configurable attributes allow the same translation engine to adapt to various document types, languages, and quality requirements without requiring separate specialized tools, thus maintaining simplicity while enhancing flexibility.
Solution Approach 2:
The translation system dynamically adjusts its behavior based on the specific translation task and user preferences. The configurable attributes enable the system to simplify the process for straightforward translations while providing advanced customization options when needed, all within a single operational framework.
4Productivity
If single target translation is produced, then translation efficiency is improved, but meeting audience expectations worsens
Solution Approach 1:
The system dynamically determines the appropriate translation attributes based on the target audience and document context. By automatically analyzing the source document and applying relevant attribute configurations, the system produces translations that are both efficient to generate and well-aligned with audience expectations, resolving the contradiction between speed and adaptability.
Solution Approach 2:
The translation system incorporates feedback mechanisms that allow it to learn from and adapt to audience responses and document characteristics. This feedback loop enables the system to refine its attribute selections over time, improving both translation efficiency and audience satisfaction simultaneously.
Data Source
AI summary
An approach is provided to use a first translation attribute that is received at a user interface from a user to automatically translate a document. The source document that is in a source natural language is translated to a target document that is in a target natural language by using a machine translator that utilizes the first translation attribute, such as adequacy or fluency. The target document is analyzed with the analysis resulting in a second translation attribute (e.g., either adequacy or fluency, whichever is different from the first translation attribute). The target (translated) document and the second translation attribute are then provided to the user, such as at the user interface.