Entity Translation

Entity translation focuses on accurately translating named entities (e.g., names, locations) within machine translation, a task challenging for current models due to data sparsity and contextual nuances. Recent research emphasizes leveraging large language models (LLMs), often fine-tuned with translation memories or pre-trained with denoising techniques on monolingual data and knowledge bases, to improve entity translation accuracy. These advancements are significant for improving the overall quality of machine translation systems across various domains, particularly in specialized fields like software engineering and medicine where accurate entity translation is crucial.