This is a simple (and parallelizable) tuning method for cdec which is able to train the weights of very many (sparse) features on the training set.
It was used in these papers:
"Joint Feature Selection in Distributed Stochastic Learning for Large-Scale Discriminative Training in SMT" (Simianer, Riezler, Dyer; ACL 2012)
"Multi-Task Learning for Improved Discriminative Training in SMT" (Simianer, Riezler; WMT 2013)
Builds when building cdec, see ../BUILDING . To build only parts needed for dtrain do
autoreconf -ifv ./configure cd training/dtrain/; make
See directories under examples/ .
Copyright (c) 2012-2013 by Patrick Simianer firstname.lastname@example.org
See the file LICENSE.txt in the root folder for the licensing terms that this software is released under.