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Found 4 papers, 1 papers with code
Findings of the WMT 2020 Shared Task on Chat Translation
We report the results of the first edition of the WMT shared task on chat translation.
One Wide Feedforward is All You Need
The Transformer architecture has two main non-embedding components: Attention and the Feed Forward Network (FFN).
Unbabel's Participation in the WMT19 Translation Quality Estimation Shared Task
We present the contribution of the Unbabel team to the WMT 2019 Shared Task on Quality Estimation.
Unbabel's Submission to the WMT2019 APE Shared Task: BERT-based Encoder-Decoder for Automatic Post-Editing
Analogously to dual-encoder architectures we develop a BERT-based encoder-decoder (BED) model in which a single pretrained BERT encoder receives both the source src and machine translation tgt strings.
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