A multi-source transformer with adaptive embedding-noise de-noising achieves small BLEU improvements over the do-nothing baseline on WMT19 English-German automatic post-editing.
Neutron: An Implementation of the Transformer Translation Model and its Variants
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abstract
The Transformer translation model is easier to parallelize and provides better performance compared to recurrent seq2seq models, which makes it popular among industry and research community. We implement the Neutron in this work, including the Transformer model and its several variants from most recent researches. It is highly optimized, easy to modify and provides comparable performance with interesting features while keeping readability.
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cs.CL 1years
2019 1verdicts
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UdS Submission for the WMT 19 Automatic Post-Editing Task
A multi-source transformer with adaptive embedding-noise de-noising achieves small BLEU improvements over the do-nothing baseline on WMT19 English-German automatic post-editing.