We build parallel FDA5 (ParFDA) Moses
statistical machine translation (SMT) systems
for all language pairs in the workshop
on statistical machine translation (Bojar et
al., 2015) (WMT15) translation task and
obtain results close to the top with an average
of 3.176 BLEU points difference using
significantly less resources for building
SMT systems. ParFDA is a parallel
implementation of feature decay algorithms
(FDA) developed for fast deployment
of accurate SMT systems (Bic¸ici,
2013; Bic¸ici et al., 2014; Bic¸ici and
Yuret, 2015). ParFDA Moses SMT system
we built is able to obtain the top
TER performance in French to English
translation. We make the data for building
ParFDA Moses SMT systems for
WMT15 available: https://github.
com/bicici/ParFDAWMT15.