@InProceedings{iglesias-EtAl:2018:N18-3,
  author    = {Iglesias, Gonzalo  and  Tambellini, William  and  de Gispert, Adrià  and  Hasler, Eva  and  Byrne, Bill},
  title     = {Accelerating NMT Batched Beam Decoding with LMBR Posteriors for Deployment},
  booktitle = {Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 3 (Industry Papers)},
  month     = {June},
  year      = {2018},
  address   = {New Orleans - Louisiana},
  publisher = {Association for Computational Linguistics},
  pages     = {106--113},
  abstract  = {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.},
  url       = {http://www.aclweb.org/anthology/N18-3013}
}