Pre-defined Term Translator for Accurate Document Translation
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Solution Overview
Problem
Document translation often results in improper meanings due to multiple meanings of terms in the source language being misinterpreted in the target language, and some words lacking direct translations, leading to cumbersome phrases.
Innovation Solution
A computer-implemented method and system that prioritize the use of pre-defined term translators and glossaries over machine translation, ensuring accurate translation by maintaining specific terms and phrases in the source language, particularly for trade names, within a networked translation environment.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If machine translation is used to translate text from source language to target language, then translation speed and productivity are improved, but translation accuracy and proper meaning preservation deteriorate
Solution Approach 1:
The translation process is segmented into multiple stages: first applying pre-defined term translators and glossaries to translate specific terms, then applying machine translation to the remaining text. This segmentation allows the system to maintain accuracy for critical terms while preserving overall translation speed.
Solution Approach 2:
The system performs preliminary translation of specific terms using pre-defined term translators and glossaries before applying machine translation to the rest of the text. This preliminary action ensures that important terms are translated accurately before the general machine translation process, preventing accuracy deterioration.
2Reliability
If pre-defined term translators and glossaries are applied to translate specific terms, then translation accuracy and proper meaning preservation are improved, but translation time and processing complexity increase
Solution Approach 1:
The system applies different translation qualities to different parts of the text: pre-defined term translators and glossaries are applied locally to specific terms that require accurate translation, while machine translation is applied to the remaining text. This local quality approach ensures accuracy where needed without unnecessarily increasing overall translation time.
Solution Approach 2:
The system applies pre-defined term translators and glossaries partially only to specific terms that require them, rather than applying them to all text. This partial action reduces unnecessary processing time while maintaining accuracy for critical terms.
3Productivity
If all terms are translated using machine translation, then translation simplicity and processing speed are improved, but term fidelity and proper terminology preservation deteriorate
Solution Approach 1:
The system introduces pre-defined term translators and glossaries as intermediary components between the source text and machine translation. These intermediaries ensure that specific terms maintain their fidelity and proper terminology before the machine translation process, preventing term fidelity deterioration.
Solution Approach 2:
The system performs preliminary translation of specific terms using pre-defined term translators and glossaries before applying machine translation to the rest of the text. This preliminary action ensures that important terms are translated accurately before the general machine translation process, preventing accuracy deterioration.
Data Source
AI summary
A computer-implemented method includes receiving, at a translation server in communication with a network, a request for a translation of text in a source language to a target language. At least a portion of the text is translated at the translation server from the source language to the target language to obtain a translated version of the text in the target language. Translating the text includes determining one or more terms from the text corresponding to a pre-defined term translator, applying the pre-defined term translator to the one or more terms, and translating a set of additional terms from the text from the source language to the target language via a translation model. The method additionally includes providing, via the translation server, the translated version of the text to a web server.


