Machine translation plays a crucial role in bridging language gaps, especially in specialized domains such as software engineering. Traditional neural machine translation models, including Transformer and LSTM-based models, have shown significant progress in Chinese-to-English translation tasks. However, these models often face challenges in optimizing hyperparameters dynamically and handling diverse textual domains, leading to suboptimal translation…
