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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.
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