Design of an Automated English Chinese Translation System Based on Human-Computer Interaction

In order to solve the problem of significant differences between the output results of traditional English Chinese translation systems and the actual contextual meanings of vocabulary applications, as well as low translation accuracy, the author proposes an automated English translation system based on human-computer interaction. According to the human-computer interaction design concept, the system hardware platform design is completed by designing three parts: translation data source acquisition hardware, analysis and processing hardware, and data interface hardware; On the basis of the platform, use human-computer interaction algorithms to extract semantic features between English and Chinese; Extracting English Chinese contextual features using translation scene parameter mapping method; Extract human-machine interaction translation features by matching semantic and contextual features of the same vocabulary through association matrices; Build a human-computer interaction translation feature model, complete system software algorithm design, and output automated English Chinese translation results. The test results indicate that: The translation accuracy of test system B reached 97.65%, far higher than the 86.53% of the comparative reference system A; The TPSM testing tool provides the fitness index, recall rate, and recognition tolerance of two translation systems based on test data, further proving the superiority of the designed system performance at the data level. The proposed system improves the fluency, precision, and response speed of translation.