Semantic analysis and translation optimisation of English sentences using long short-term memory network

Key Points

• The aim is to enhance translation processes by leveraging semantic analysis and long short-term memory networks.
• Utilised long short-term memory networks for semantic analysis.
• Analyzed English sentence structures to improve translation accuracy.
• Examined computational methods in language processing for optimisation.
• Demonstrated improved translation accuracy compared to traditional methods.
• Identified key patterns and features in English sentences that benefit from LSTM analysis.
• Results suggest significant advancements in natural language processing capabilities.

Abstract