Abstract
Data detailed on Machine Translation have been presented. According to news reporting originating from Shaanxi, People's Republic of China, by NewsRx correspondents, research stated, "The scale of parallel corpus plays an important role in training high-quality neural machine translation models. In order to expand the scale of parallel corpus in low-resource scenarios, researchers have proposed a series of data augmentation approaches, in which the most representative work is the back-translation." Funders for this research include National Natural Science Foundation of China (NSFC), Yunnan Fundamental Research Projects.
NETL
NSTL
Elsevier