Study on leveraging fuzzy neural networks for error labelling in English machine translation

Key Points

• The central aim is to enhance error labelling in the field of English machine translation using fuzzy neural networks.
• Utilized fuzzy neural networks for error detection
• Evaluated the performance through machine translation algorithms
• Analyzed various translation errors based on fuzzy logic principles
• Achieved higher accuracy in identifying translation errors
• Demonstrated an increase in overall translation quality
• Showed potential for broader applications in language processing