Philipp Koehn
Draft of textbook chapter on neural machine translation. a comprehensive treatment of the topic, ranging from introduction to neural networks, computation graphs, description of the currently dominant attentional sequence-to-sequence model, recent refinements, alternative architectures and challenges. Written as chapter for the textbook Statistical Machine Translation. Used in the JHU Fall 2017 class on machine translation.
| Task | Dataset | Metric | Value | Model |
|---|---|---|---|---|
| Machine Translation | 20NEWS | 1-of-100 Accuracy | 5 | tensorflow/tensor2tensor |