NRC Systems for Low Resource German-Upper Sorbian Machine Translation 2020 - Transfer Learning with Lexical Modifications.

WMT@EMNLP(2020)

引用 7|浏览8
暂无评分
摘要
We describe the National Research Council of Canada (NRC) neural machine translation systems for the German-Upper Sorbian supervised track of the 2020 shared task on Unsupervised MT and Very Low Resource Supervised MT. Our models are ensembles of Transformer models, built using combinations of BPE-dropout, lexical modifications, and backtranslation.
更多
查看译文
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要