Research Article
An Automatic English Online Translation Error Recognition Method Based on Reinforcement Learning and Evolutionary Computation
@INPROCEEDINGS{10.1007/978-3-032-00303-4_15, author={Xia Li}, title={An Automatic English Online Translation Error Recognition Method Based on Reinforcement Learning and Evolutionary Computation}, proceedings={Advanced Hybrid Information Processing. 8th International Conference, ADHIP 2024, Jiaxing, China, September 20--22, 2024, Proceedings, Part III}, proceedings_a={ADHIP}, year={2026}, month={11}, keywords={Reinforcement Learning Evolutionary Computation English Online Translation Automatic Error Recognition}, doi={10.1007/978-3-032-00303-4_15} }- Xia Li
Year: 2026
An Automatic English Online Translation Error Recognition Method Based on Reinforcement Learning and Evolutionary Computation
ADHIP
Springer
DOI: 10.1007/978-3-032-00303-4_15
Abstract
A method for English translation error recognition combining reinforcement learning and evolutionary computation was studied, which utilizes 3D ResNet to extract translation action features and Transformer to generate Japanese text, improving online accuracy.The multi population mechanism is used to increase the diversity of the population. Each subpopulation selects a specific solution strategy through the adaptive mechanism, and then each subpopulation evolves separately. The Sigmoid activation function processes translation features, evaluates error rates, and identifies and outputs errors if they are high. The experiment proves that this method has high accuracy and effectively identifies targets.
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