Simultaneous Interpretation Model Using External Alignment
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional real-time simultaneous interpretation systems face challenges in providing prompt and accurate interpretation results, as they typically wait until a speaker finishes a sentence unit before delivering the interpretation, leading to frustration and inefficiency, especially when dealing with languages that have significant differences in word order.
Innovation Solution
A method and system that utilize external alignment information to train a real-time simultaneous interpretation model, allowing for the generation of intermediate interpretation results by determining read and write actions based on word alignment between source and target languages, enabling immediate output of interpretation as soon as a word is spoken.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the system waits until the speaker finishes a sentence unit before delivering interpretation, then the accuracy of interpretation is improved, but the interpretation delay increases
Solution Approach 1:
The patent segments the interpretation process into intermediate results and final results. Intermediate interpretation results are generated for partial sentence units or phrases before the complete sentence is finished, while the final result provides the complete interpretation after sentence completion. This segmentation allows listeners to receive timely partial information without sacrificing final accuracy.
Solution Approach 2:
The system performs preliminary interpretation actions by generating intermediate interpretation results during the speech input phase, before the speaker completes the full sentence unit. These preliminary results are based on partial input analysis and provide early feedback to listeners, reducing the overall interpretation delay while maintaining accuracy through subsequent refinement.
2Productivity
If the system provides intermediate interpretation results during speech input, then the interpretation promptness is improved, but the interpretation accuracy may deteriorate
Solution Approach 1:
The system implements a feedback mechanism where intermediate interpretation results are generated and provided to listeners during speech input, then refined and corrected based on the complete sentence unit input. The final interpretation result incorporates feedback from the full context, ensuring accuracy while maintaining promptness through the intermediate output.
Solution Approach 2:
The interpretation system operates dynamically by adjusting its output strategy based on the completion status of sentence units. During partial input phases, the system dynamically generates intermediate results for promptness; upon sentence completion, it dynamically refines the output to ensure accuracy. This dynamic behavior allows the system to adapt between speed and precision requirements.
Data Source
AI summary
Provided is a method of training a real-time simultaneous interpretation model based on external alignment information, the method including: receiving a bilingual corpus having a source language sentence as an input text and a target language sentence as an output text; generating alignment information corresponding to words or tokens (hereinafter, words) in the bilingual corpus; determining a second action following a first action in the simultaneous interpretation model on the basis of the alignment information to generate action sequence information; and training the simultaneous interpretation model on the basis of the bilingual corpus and the action sequence information, wherein the first action and the second action represent a read action of reading the word in the input text or a write action of outputting an intermediate interpretation result corresponding to the read action performed up to a present.