Machine Language Interpreter Augments Human Translation Accuracy
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Solution Overview
Problem
Human language interpretation can be inaccurate due to the interpreter's lack of knowledge in the source and target languages, industry terminology, and cultural context, leading to potential errors in communication, especially in specialized fields like medicine.
Innovation Solution
A machine language interpretation system that translates voice communications into text data and displays it for a human language interpreter, providing real-time assistance and augmenting the interpreter's knowledge with industry-specific terminology and cultural context.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a human language interpreter is used to provide optimal language interpretation, then the interpretation quality can be maintained through high qualification levels, but the interpreter may still fail to capture all nuances due to different cultural contexts and language knowledge limitations
Solution Approach 1:
The patent introduces a machine language interpreter as an intermediary tool that assists the human language interpreter. The machine system provides real-time translations, terminology suggestions, and cultural context information, allowing the human interpreter to maintain reliability while compensating for knowledge gaps through the intermediary system's capabilities
Solution Approach 2:
The system changes the parameter of knowledge availability by providing the human interpreter with real-time access to industry-specific terminology, cultural context, and translation suggestions through the machine language interpreter interface. This transforms the static knowledge state of the human interpreter into a dynamic, augmented knowledge state
2Productivity
If a machine language interpreter is used to translate voice communications, then real-time translation capability is provided, but the translation accuracy may be insufficient without human interpretation oversight
Solution Approach 1:
The patent merges the capabilities of the machine language interpreter (speed, real-time processing) with the human language interpreter (accuracy, cultural understanding) into a hybrid system. The machine handles rapid translation while the human provides quality control and nuanced interpretation, achieving both high productivity and reliability simultaneously
3Reliability
If industry-specific terminology and cultural context are incorporated into the interpretation system, then interpretation accuracy is improved, but the system complexity increases
Solution Approach 1:
The machine language interpreter is designed as a universal system that handles multiple functions: real-time translation, terminology database access, cultural context provision, and suggestion generation. This multi-functionality allows the system to improve interpretation accuracy across different domains without requiring separate specialized systems for each industry or context
Data Source
AI summary
A language interpretation system receives a request for an interpretation of a voice communication between a first language and a second language. Further, the language interpretation system provides the request to a human language interpreter. In addition, a machine language interpreter translates the voice communication into a set of text data. The text data is sent to a display device that displays the text during a human language interpretation performed by the human language interpreter.