Machine Translation Reliability Feedback Loop
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Solution Overview
Problem
Machine translation methods often produce errors that are difficult for users to understand, as they lack effective mechanisms for determining the reliability of translation results and re-determining accurate sentences.
Innovation Solution
A processor-implemented machine translation method that translates a source sentence into a target language, assesses the reliability of the translation, and re-determines the target sentence by retrieving similar sentences from a database, adjusting search techniques, or using a third language, and outputs the re-determined sentence as text or speech.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If machine translation is performed using conventional methods, then translation speed is maintained, but translation accuracy and reliability deteriorate due to errors that are difficult for users to understand
Solution Approach 1:
The patent implements a feedback mechanism where the translation result is evaluated for reliability, and if unreliable, the system automatically re-determines the translation using alternative methods such as retrieving similar sentences from a database or adjusting search techniques, creating a closed-loop quality control system
Solution Approach 2:
The system performs preliminary actions by pre-storing similar sentences and their translations in a database, and pre-defining multiple search techniques and translation models, so that when reliability is questioned, re-determination can quickly utilize these pre-prepared resources without significant additional complexity
2Manufacturing precision
If the translation system re-determines inappropriate translations using multiple methods, then translation accuracy improves, but processing time increases
Solution Approach 1:
The system applies partial re-determination by first attempting the quickest correction method (retrieving similar sentences from database) and only proceeding to more time-consuming methods (adjusting search techniques or using third language) if necessary, thus achieving sufficient precision without always incurring maximum time cost
Solution Approach 2:
The re-determination process is segmented into multiple independent methods (database retrieval, search technique adjustment, third language translation), allowing the system to select and apply only the necessary segments based on the specific translation problem, reducing overall processing time
3Ease of operation
If the system uses database retrieval and multiple re-determination methods, then user understanding of translation results improves, but device complexity increases
Solution Approach 1:
The patent introduces an intermediary reliability evaluation component that acts as a mediator between the translation engine and the user, assessing translation quality and automatically triggering re-determination when needed, thereby improving user understanding without requiring users to directly interact with complex re-determination mechanisms
Data Source
AI summary
A processor-implemented machine translation method includes translating a source sentence expressed in a source language into a target language to determine a target sentence, determining, based on a reliability of the target sentence, whether the target sentence is appropriate as a translation result of the source sentence, and re-determining a target sentence corresponding to the source sentence in response to a result of the determining being that the target sentence is inappropriate as the translation result.