Adaptive multi-engine optimisation and reinforcement learning for English translation

Key Points

• The aim is to enhance translation accuracy using adaptive multi-engine optimisation and reinforcement learning techniques.
• Utilized adaptive multi-engine optimisation frameworks.
• Implemented reinforcement learning algorithms for translation tasks.
• Conducted comparative analyses with traditional translation models.
• Showed improved translation accuracy compared to standard methods.
• Demonstrated the potential of reinforcement learning in translating complex phrases.
• Highlighted efficiency gains in translation speed through adaptive techniques.

Abstract