System combination is an important technique for combining the hypothese...
Graph neural networks (GNNs) have generalized deep learning methods into...
While neural machine translation (NMT) has achieved state-of-the-art
tra...
Automatic post-editing (APE), which aims to correct errors in the output...
While back-translation is simple and effective in exploiting abundant
mo...
Although neural machine translation has made significant progress recent...
Although the Transformer translation model (Vaswani et al., 2017) has
ac...
This paper introduces THUMT, an open-source toolkit for neural machine
t...
Entity images could provide significant visual information for knowledge...
We introduce an agreement-based approach to learning parallel lexicons a...