English Translation System Assisted by Machine Learning and Cloud Computing Data Aggregation Algorithm

With the rapid development of machine learning, cloud computing and big data technology, the translation accuracy and fluency of computer-aided English translation system can be greatly improved again. Based on the above reasons, this paper discusses the research of an English translation system assisted by machine learning and cloud computing data aggregation algorithm. By placing data storage and computing resources in the cloud, the English translation system can process massive language data more efficiently and realize real-time update and optimization. At the same time, the cloud computing data aggregation algorithm can also help the English translation system to better cope with the diversity and complexity of data, so as to improve the robustness and reliability of the system. Finally, this paper verifies the efficiency of the technology through experimental analysis (The accuracy rate of the computer-aided translation model based on cloud computing and machine learning is between 0.93 and 1, which is significantly higher than that of the computer-aided translation system based on statistics, memory bank and case.).