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This is a really fast (parallelizable) tuning method for cdec as used here:
"Joint Feature Selection in Distributed Stochastic
Learning for Large-Scale Discriminative Training in
SMT" Simianer, Riezler, Dyer
ACL 2012
Building
--------
builds when building cdec, see ../BUILDING
Running
-------
To run this on a dev set locally (default):
#define DTRAIN_LOCAL
otherwise remove that line or undef. You need a single grammar file
or per-sentence-grammars (psg) as you would use with cdec.
Additionally you need to give dtrain a file with
references (--refs).
The input for use with hadoop streaming looks like this:
<sid>\t<source>\t<ref>\t<grammar rules separated by \t>
To convert a psg to this format you need to replace all "\n"
by "\t". Make sure there are no tabs in your data.
For an example of local usage (with 'distributed' format)
the see test/example/ . This expects dtrain to be built without
DTRAIN_LOCAL.
Legal stuff
-----------
Copyright (c) 2012 by Patrick Simianer <p@simianer.de>
See the file ../LICENSE.txt for the licensing terms that this software is
released under.
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