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POSTECH Submission on Duolingo Shared Task
In this paper, we propose a transfer learning based simultaneous translation model by extending BART.
Transformer-based Automatic Post-Editing with a Context-Aware Encoding Approach for Multi-Source Inputs
Recent approaches to the Automatic Post-Editing (APE) research have shown that better results are obtained by multi-source models, which jointly encode both source (src) and machine translation output (mt) to produce post-edited sentence (pe).
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