Interactive Machine Translation Interface for User Correction
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Solution Overview
Problem
Conventional Interactive Machine Translation (IMT) systems limit user involvement, restricting the quality of translation results as they fail to provide effective feedback on user corrections and can only improve accuracy when mistranslation is caused by structural misanalysis.
Innovation Solution
A device and method for interactive machine translation that includes a user interface module to display sentence structures and relationships between the original text and translation, allowing users to correct errors directly, with a machine translation engine performing re-translation based on user input, utilizing morphological/syntactic analysis and linguistic dependency models to infer and correct mistranslations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a conventional IMT system asks users questions to resolve structural ambiguity, then translation accuracy improves when mistranslation is caused by structural misanalysis, but user involvement is restricted and the system cannot get feedback on translation quality
Solution Approach 1:
The system displays the translation result and asks the user to evaluate its quality. This feedback loop allows the system to receive information about translation quality from the user, enabling it to learn and improve beyond just structural ambiguity resolution. The feedback mechanism transforms the unidirectional question-answering interaction into a bidirectional learning process.
Solution Approach 2:
The system enables users to directly correct translation errors by modifying the translated text, and automatically performs re-translation based on these corrections. This self-service approach allows users to actively participate in improving translation quality without being restricted to answering predefined questions, thereby enhancing both user involvement and translation accuracy.
2Reliability
If the system performs re-translation based on user corrections, then translation quality improves through continuous refinement, but the translation process becomes more complex and time-consuming
Solution Approach 1:
The system dynamically adjusts the translation process based on user feedback. When users provide corrections or quality evaluations, the system automatically triggers re-translation to refine the result. This dynamic adaptation allows the system to balance between maintaining translation quality and avoiding unnecessary re-translation cycles, managing complexity through intelligent responsiveness rather than rigid multi-step procedures.
3Ease of operation
If the system displays detailed sentence structures and relationships to facilitate user involvement, then user ability to correct errors improves, but the user interface becomes more complex
Solution Approach 1:
The system extracts and displays only the essential information needed for user evaluation and correction - specifically the translation result and its quality. Rather than presenting the complete complex analysis process, sentence structures, and linguistic relationships, the interface focuses on the final translation output and user feedback mechanisms. This extraction approach maintains ease of operation by presenting manageable information while the underlying complex processing continues in the background.
Data Source
AI summary
Provided are a device and method for interactive machine translation. The device includes a machine translation engine having a morphological/syntactic analyzer for analyzing morphemes and sentences of an original text and generating original text analysis information, and a translation generator for generating a translation and translation generation information on the basis of the original text analysis information, and a user interface module for displaying sentence structures of the original text and the translation, and a relationship between the original text and the translation to a user on the basis of the original text analysis information and the translation generation information, and for receiving corrections to the original text or the translation from the user. The device and method provide a user interface whereby the user can effectively recognize and correct a mistranslated part and a cause of the mistranslation, and rapidly provides a re-translated result according to the correction. Thus, it is possible to perform high-quality translation which satisfies the user.