With the rapid development of artificial intelligence (AI) technology, language processing is revolutionarily transformed. English translation calibration system serves as a pivotal component in language communication with increasing attention. We designed an English translation calibration system based on AI technology. By integrating advanced algorithms and models, the system enhanced translation accuracy, intelligence, and user experience. We analyzed the fundamental algorithm based on Long Short-Term Memory (LSTM) networks. We established a translation quality estimation model based on Bidirectional Long Short-Term Memory (BiLSTM), encompassing quality vector extraction, contextual word vectors, and the integration of a translation quality estimation model. Finally, the overall implementation process of the English intelligent translation calibration system was presented in this article. The model provides a more intelligent and efficient solution for English translation calibration, thereby advancing the continual application and innovation of AI technology in language processing.