Jia Xu is a computer scientist and AI researcher with a global academic career spanning Europe, Asia, and the United States.

Abstract: Machine translation (MT) for low-resource languages continues to face significant challenges because of limited digital resources and parallel corpora, despite remarkable developments in ...

In a post global world, the power of translation is taking centre stage in ways that centre regional cultural and linguistic dynamics. This was ...

Despite state-of-the-art performance, NLP systems can be fragile in real-world situations. This is often due to insufficient understanding of the capabilities and limitations of models and the heavy ...

Abstract: This study presents a novel translation framework by combining transfer learning and part-of-speech (POS) tagging methods to improve the performance of low-resource neural machine ...