LDCIR-Trans: a lightweight dependency-constrained iterative refinement model for machine translation

Key Points

• The aim is to enhance machine translation quality using a novel model that incorporates iterative refinement and dependency constraints.
• Developed a lightweight model for machine translation.
• Implemented iterative refinement techniques to improve translation accuracy.
• Applied dependency constraints during the translation process.
• Achieved significant improvements in translation accuracy compared to existing models.
• Reduced computational resource requirements, making it more efficient.
• Enabled better handling of linguistic dependencies in translations.