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) > Building -------- Builds when building cdec, see ../BUILDING . To build only parts needed for dtrain do ``` autoreconf -ifv ./configure cd training/dtrain/; make ``` Running ------- See directories under examples/ . Legal ----- Copyright (c) 2012-2013 by Patrick Simianer <p@simianer.de> See the file LICENSE.txt in the root folder for the licensing terms that this software is released under.