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March 1, 2026International Journal of Industrial and Systems Engineering0 citations

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

RJRui Jiang

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

Inderscience is a global company, a dynamic leading independent journal publisher disseminates the latest research across the broad fields of science, engineering and technology; management, public and business administration; environment, ecological economics and sustainable development; computing, ICT and internet/web services, and related areas.

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Cite This Study

Rui Jiang (2025) studied this question.

synapsesocial.com/papers/69a3d8caec16d51705d2fe53https://doi.org/10.1504/ijise.2025.10076606
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Adaptive multi-engine optimisation and reinforcement learning for English translation2026
  2. 2Transformer-based cross-cultural intelligent translation system for international communication2026
  3. 3Design of interactive English learning system driven by big data2026
  4. 4Real-time cross-lingual speech translation for English teaching via federated transfer learning and multi-modal knowledge distillation2026
  5. 5English learning behaviour analysis and intelligent recommendation system driven by big data2026