Research
My research involves various topics of Deep Learning in Neural Machine Translation (NLP). I try to innovate and invent novel models and architectures, such as the Transformer, to improve the performance of data-driven machine translation systems. I also explore numerous techniques to enhance unsupervised and semi-supervised machine translation systems, such as using diversification methods. My work can meaningfully contribute to the development of commercial translation systems like Google Translate.
Plus, I also work on other research projects regarding semantic parsing, summarization, speech translation etc.