An attention-based multi-engine architecture enhances the ability of English translation to resolve ambiguity

Key Points

• This research aims to enhance the clarity of English translations by resolving ambiguity through a novel architecture.
• Utilized an attention-based multi-engine architecture for English translations.
• Compared the performance of this architecture against traditional translation methods.
• Assessed the effectiveness in resolving ambiguous phrases or sentences.
• Achieved a significant improvement in ambiguity resolution compared to standard translation methods, with an increase in clarity ratings by 25%.
• Reduced misunderstanding rates by 30%, supporting the effectiveness of the attention-based approach.