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Philipp Koehn

Abstract
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.
Code Repositories
neulab/xnmt
Official
rsennrich/wmt16-scripts
Official
tensorflow/tensor2tensor
Official
tf
awslabs/sockeye
Official
mxnet
EdinburghNLP/nematus
Official
tf
Benchmarks
| Benchmark | Methodology | Metrics |
|---|---|---|
| machine-translation-on-20news | tensorflow/tensor2tensor | 1-of-100 Accuracy: 5 |
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