Particle Swarm Optimization Submission for WMT16 Tuning Task
Viktor Kocur, Ondřej Bojar · 2016
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.