  We describe a batched beam decoding algorithm for NMT with LMBR n-gram
posteriors, showing that LMBR techniques still yield gains on top of the best
recently reported results with Transformers. We also discuss acceleration
strategies for deployment, and the effect of the beam size and batching on
memory and speed.
