Optimisation and Feasibility Evaluation of Deep Learning-based English-Chinese Simultaneous Interpretation Systems

Key Points

• This research aims to assess the optimization and feasibility of deep learning techniques in simultaneous interpretation between English and Chinese.
• Developed a deep learning-based interpretation system
• Conducted feasibility studies using real-time scenarios
• Analyzed optimization strategies for improved accuracy
• Demonstrated significant improvement in interpretation accuracy
• Found feasible implementation in real-time settings
• Highlighted user satisfaction with the system's performance

Abstract