This is a machine translation reading list maintained by the Tsinghua Natural Language Processing Group.
The past three decades have witnessed the rapid development of machine translation, especially for data-driven approaches such as statistical machine translation (SMT) and neural machine translation (NMT). Due to the dominance of NMT at the present time, priority is given to collecting important, up-to-date NMT papers; the Edinburgh/JHU MT research survey wiki has good coverage of older papers and a brief description for each sub-topic of MT. Our list is still incomplete and the categorization might be inappropriate. We will keep adding papers and improving the list. Any suggestions are welcome!
WMT is the most important annual international competition on machine translation. We collect the competition results on the news translation task since WMT 2016 (the First Conference of Machine Translation) and summarize the techniques used in the systems with the top performance. Currently, we focus on four directions: ZH-EN, EN-ZH, DE-EN, and EN-DE. The summarized algorithms might be incomplete; your suggestions are welcome!
The winner of ZH-EN, DE-EN and EN-DE: Microsoft
The winner of EN-ZH: PATECH
The winner of ZH-EN: Tencent
The winner of EN-ZH: GTCOM
The winner of DE-EN: RWTH Aachen University
The winner of EN-DE: Microsoft
The winner of ZH-EN: Sogou
The winner of EN-ZH, DE-EN and EN-DE: University of Edinburgh
The winner of DE-EN: University of Regensburg
The winner of EN-DE: University of Edinburgh