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Particle Swarm Optimization Submission for WMT16 Tuning Task
This paper describes our submission to the
Tuning Task of WMT16. We replace the
grid search implemented as part of standard
minimum-error rate training (MERT)
in the Moses toolkit with a search based
on particle swarm optimization (PSO). An
older variant of PSO has been previously
successfully applied and we now test it
in optimizing the Tuning Task model for
English-to-Czech translation. We also
adapt the method in some aspects to allow
for even easier parallelization of the
search