diff options
| author | Chris Dyer <cdyer@cab.ark.cs.cmu.edu> | 2012-10-02 01:10:44 -0400 |
|---|---|---|
| committer | Chris Dyer <cdyer@cab.ark.cs.cmu.edu> | 2012-10-02 01:10:44 -0400 |
| commit | 991daa54e8138939088d134011176a52120d0a1b (patch) | |
| tree | bbb2760004456265edfaae8b930cd3d4d8e7eb31 /README | |
| parent | d9918e2a47edf5887a179a566243a37e7b9a1c03 (diff) | |
new readme
Diffstat (limited to 'README')
| -rw-r--r-- | README | 57 |
1 files changed, 0 insertions, 57 deletions
diff --git a/README b/README deleted file mode 100644 index 47b52355..00000000 --- a/README +++ /dev/null @@ -1,57 +0,0 @@ -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 <redpony@gmail.com> - -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. - |