The RWTH Aachen University Supervised Machine Translation Systems for WMT 2018

WS 2018 • Julian Schamper • Jan Rosendahl • Parnia Bahar • Yunsu Kim • Arne Nix • Hermann Ney

This paper describes the statistical machine translation systems developed at RWTH Aachen University for the German→English, English→Turkish and Chinese→English translation tasks of the EMNLP 2018 Third Conference on Machine Translation (WMT 2018). We use ensembles of neural machine translation systems based on the Transformer architecture... (read more)

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METHOD	TYPE
Residual Connection	Skip Connections
BPE	Subword Segmentation
Dense Connections	Feedforward Networks
Label Smoothing	Regularization
ReLU	Activation Functions
Adam	Stochastic Optimization
Softmax	Output Functions
Dropout	Regularization
Multi-Head Attention	Attention Modules
Layer Normalization	Normalization
Scaled Dot-Product Attention	Attention Mechanisms
Transformer	Transformers

METHOD

TYPE

Residual Connection