Machine Translation On Iwslt2015 English
Metrics
BLEU score
Results
Performance results of various models on this benchmark
Model Name | BLEU score | Paper Title | Repository |
|---|---|---|---|
| Pervasive Attention | 27.99 | Pervasive Attention: 2D Convolutional Neural Networks for Sequence-to-Sequence Prediction | |
| RNNsearch | 25.04 | An Actor-Critic Algorithm for Sequence Prediction | |
| NPMT + language model | 25.36 | Towards Neural Phrase-based Machine Translation | |
| PS-KD | 30.00 | Self-Knowledge Distillation with Progressive Refinement of Targets | |
| Transformer | 28.50 | Attention Is All You Need | |
| Denoising autoencoders (non-autoregressive) | 27.01 | Deterministic Non-Autoregressive Neural Sequence Modeling by Iterative Refinement | |
| NAT +FT + NPD | 28.16 | Non-Autoregressive Neural Machine Translation | |
| ConvS2S | 26.73 | Convolutional Sequence to Sequence Learning |
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