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42 changes: 42 additions & 0 deletions BUILDING
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To build cdec, you'll need:

* SRILM (register and download from http://www.speech.sri.com/projects/srilm/)
* Google c++ testing framework (http://code.google.com/p/googletest/)
* boost headers & boost program_options (you may need to install a package
like boost-devel)


Instructions for building
-----------------------------------

1) Download and build SRILM

2) Download, build, and install Google Test (optional, this is necessary
to build unit tests that may be useful in development; system tests
work without it)

3) Use automake / autoconf to generate the configure script.
I'm not an expert at using these tools, but this should be sufficient:

autoreconf -ifv

4) Configure and build. Your command will look something like this.

./configure --with-srilm=/home/me/software/srilm-1.5.9 --disable-gtest
make

If you get errors during configure about missing BOOST macros, then step 3
failed, and you need to keep working at it. If you get errors during the
build, it's probably a problem with step 3 or possibly with some compiler
version idiosyncracies (generally, I assume you have a relatively new
of g++).

5) Test

./tests/run-system-tests.pl

Everything should pass.


6) Enjoy!

45 changes: 45 additions & 0 deletions LICENSE.cctbx.txt
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*** License agreement ***

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----------------------------------------------

L-BFGS CODE FROM COMPUTATIONAL CRYSTALLOGRAPHY TOOLBOX (CCTBX)

This package includes source code (training/lbfgs.h) based on source
code distributed as part of the Compational Crystallography Toolbox
(CCTBX), which has separate copyright notices and license terms. Use of
this source code is subject to the terms and conditions of the license
contained in the file LICENSE.cctbx .

4 changes: 4 additions & 0 deletions Makefile.am
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SUBDIRS = decoder training vest extools
AUTOMAKE_OPTIONS = foreign

ACLOCAL_AMFLAGS = -I m4
57 changes: 57 additions & 0 deletions README
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cdec is a fast decoder.

SPEED COMPARISON
------------------------------------------------------------------------------

Here is a comparison with a couple of other decoders doing SCFG decoding:

Decoder Lang. BLEU Run-Time Memory
cdec c++ 31.47 0.37 sec/sent 1.0-1.1GB
Joshua Java 31.55 2.34 sec/sent 4.0-4.8GB
Hiero Python 31.22 27.2 sec/sent 1.7-1.9GB

The maximum number of pops from candidate heap at each node is k=30, no other
pruning, 3gm LM, Chinese-English translation task.


GETTING STARTED
------------------------------------------------------------------------------

See the BUILDING file for instructions on how to build the software. To
explore the decoder's features, the best way to get started is to look
at cdec's command line options or to have a look at the test cases in
the tests/system_tests/ directory. Each of these can be run with a command
like ./cdec -c cdec.ini -i input.txt -w weights . The files should be
self explanatory.


EXTRACTING A SYNCHRONOUS GRAMMAR / PHRASE TABLE
------------------------------------------------------------------------------
cdec does not include code for generating grammars. To build these, you will
need to write your own software or use an existing package like Joshua, Hiero,
or Moses.


OPTIMIZING / TRAINING MODELS
------------------------------------------------------------------------------
cdec does include code for optimizing models, according to a number of
training criteria, including training models as CRFs (with latent derivation
variables), MERT (over hypergraphs) to opimize BLEU, TER, etc.

Eventually, I will provide documentation for this.


ALIGNMENT / SYNCHRONOUS PARSING / CONSTRAINED DECODING
------------------------------------------------------------------------------
cdec can be used as an aligner. For examples, see the test cases.


COPYRIGHT AND LICENSE
------------------------------------------------------------------------------
Copyright (c) 2009 by Chris Dyer <[email protected]>

See the file LICENSE.txt for the licensing terms that this software is
released under. This software also includes the file m4/boost.m4 which is
licensed under the LGPL v3, for more information refer to the comments
in that file.

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