Grundkiewicz, Roman

Junczys-Dowmunt, Marcin

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} -&gt; 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

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The AMU-UEdin Submission to the WMT 2017 Shared Task on Automatic Post-Editing

Marcin Junczys-Dowmunt

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https://www.pure.ed.ac.uk/ws/files/40342392/103_Paper_1.pdf

The AMU-UEdin Submission to the WMT 2017 Shared Task on Automatic Post-Editing

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