Name Translation

Name translation and analysis encompass a broad range of research focused on understanding and leveraging the information embedded within names, from accurate translation across languages to inferring demographic attributes and mitigating biases in natural language processing (NLP) models. Current research utilizes various techniques, including transformer networks and large language models (LLMs), to improve name translation accuracy, particularly for challenging cases like idioms and proper nouns, and to analyze the inherent biases present in name-related data and models. This field is crucial for advancing multilingual NLP, ensuring fairness in AI applications, and providing valuable insights into societal biases reflected in language use.