@unpublished{hoang2016fast,
author = {Hoang, Hieu and Bogoychev, Nikolay and Schwartz, Lane and Junczys-Dowmunt, Marcin},
title = {Fast, scalable phrase-based smt decoding},
year = {2016},
month = {October},
abstract = {The utilization of statistical machine translation (SMT) has grown enormously over the last decade, many using open-source software developed by the NLP community. As commercial use has increased, there is need for software that is optimized for commercial requirements, in particular, fast phrase-based decoding and more efficient utilization of modern multicore servers.

In this paper we re-examine the major components of phrase-based decoding and decoder implementation with particular emphasis on speed and scalability on multicore machines. The result is a drop-in replacement for the Moses decoder which is up to fifteen times faster and scales monotonically with the number of cores.},
url = {http://approjects.co.za/?big=en-us/research/publication/fast-scalable-phrase-based-smt-decoding/},
note = {arXiv:1610.04265},
}