The AMU-UEdin Submission to the WMT 2017 Shared Task on Automatic Post-Editing
Marcin Junczys-Dowmunt, Marcin Junczys-Dowmunt · 2017
This work describes the AMU-UEdin submission to the WMT 2017 shared task on Automatic Post-Editing.We explore multiple neural architectures adapted for the task of automatic post-editing of machine translation output.We focus on neural end-to-end models that combine both inputs mt and src in a single neural architecture, modeling {mt, src} → pe directly.Apart from that, we investigate the influence of hard-attention models which seem to be well-suited for monolingual tasks, as well as combinations of both ideas.