  Documenting the construction of an NMT (Neural Machine Translation) system
for En/Ja based on the Transformer architecture leveraging the OpenNMT
framework. A systematic exploration of corpora pre-processing, hyperparameter
tuning and model architecture is carried out to obtain optimal performance. The
system is evaluated using standard auto-evaluation metrics such as BLEU, and my
subjective opinion as a Japanese linguist.
