2 research outputs found
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
Results of the WMT16 Tuning Shared Task
This paper presents the results of the
WMT16 Tuning Shared Task. We provided
the participants of this task with a
complete machine translation system and
asked them to tune its internal parameters
(feature weights). The tuned systems were
used to translate the test set and the outputs
were manually ranked for translation
quality. We received 4 submissions in the
Czech-English and 8 in the English-Czech
translation direction. In addition, we ran
2 baseline setups, tuning the parameters
with standard optimizers for BLEU score.
In contrast to previous years, the tuned
systems in 2016 rely on large data