Intelligent English translation scoring method based on multi-angle semantic feature calculation model

Key Points

• The aim is to develop a new scoring method for English translations based on semantic features.
• Developed a multi-angle semantic feature calculation model.
• Analyzed the effectiveness of the model in scoring translations and identifying quality.
• Utilized various algorithms from natural language processing to assess translation accuracy.
• The scoring method shows improved accuracy compared to traditional methods.
• The multi-angle approach allows for a more nuanced evaluation of translations.
• Findings suggest that semantic features play a significant role in translation scoring.

Abstract