OpenCCG is a system for parsing and generating text using combinatory categorial grammar for syntax and hybrid logic dependency semantics for, well, the semantic representation.
If that seems like a mouthful, don't worry too much about the details right now. You can get started installing OpenCCG and working with OpenCCG using the
tccg utility right now.
If, on the other hand, you want to start understanding what that mouthful means, Johanna Moore at the University of Edinburgh has some helpful course notes on NLG in general and OpenCCG in particular.
See CHANGES for a description of the project status. Also see the OpenCCG web site and wiki at UT Austin:
README.md file contains the configuration and build instructions. Next you'll probably want to look at the tutorial on writing grammars in the human-friendly 'dot ccg' syntax on the UT Austin OpenCCG wiki.
After that it may be helpful to look at the "native" grammar specification in "Specifying Grammars for OpenCCG: A Rough Guide" in
docs/grammars-rough-guide.pdf, as well as the
SAMPLE_GRAMMARS file for descriptions of the sample grammars that come with the distribution, including ones using the DotCCG syntax. A (somewhat dated) programmer's guide to using the OpenCCG realizer appears in
This release also includes a broad English coverage grammar from the CCGBank and associated statistical models; see
docs/ccgbank-README for details.
***NOTE maven will take care dependency downloading step for you, hence steps bellow can be ignored
All of the standard maven usage rules applies, to simply make
jar you can do
mvn package, if you're using GNU Make, can do
make package. The result is
openccg.jar which can be found on
Tests can be run via
mvn test, or
If you're working with the latest source version from GitHub, you'll need to download the external libraries from the latest release, as GitHub discourages including binaries in their repos:
- Download the latest release of OpenCCG from sourceforge
- Unpack the archive and copy over the files from
openccg/lib/, as well as
- Build the latest source as described further below
The easiest thing to do is to set the environment variables
OPENCCG_HOME to the relevant locations on your system. Set
JAVA_HOME to match the top level directory containing the Java installation you want to use.
For example, on Windows:
C:\> set JAVA_HOME=C:\Program Files\jdk1.6.0_04
or on Unix:
% setenv JAVA_HOME /usr/local/java
> export JAVA_HOME=/usr/java
On Windows, to get these settings to persist, it's actually easiest to set your environment variables through the System Properties from the Control Panel. For example, under WinXP, go to Control Panel, click on System Properties, choose the Advanced tab, click on Environment Variables, and add your settings in the User variables area.
Next, likewise set
OPENCCG_HOME to be the top level directory where you unzipped the download. In Unix, type
pwd in the directory where this file is and use the path given to you by the shell as
OPENCCG_HOME. You can set this in the same manner as for
Next, add the directory
OPENCCG_HOME/bin to your path. For example, you can set the path in your
.bashrc file as follows:
> export PATH="$PATH:$OPENCCG_HOME/bin"
On Windows, you should also add the python main directory to your path.
Finally, if you are going to use KenLM with very large language models for realization with CCGbank-extracted grammars on linux, you'll also need to set the library load path:
> export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:$OPENCCG_HOME/lib
Once you have taken care of these things, you should be able to build and use the OpenCCG Library.
Note: Spaces are allowed in
JAVA_HOME but not in
OPENCCG_HOME. To set an environment variable with spaces in it, you need to put quotes around the value when on Unix, but you must NOT do this when under Windows.
If you're working with a broad coverage grammar and statistical parsing or realization models, you'll probably need to increase the default memory limit for running OpenCCG's tools. You can do so by editing
bin/ccg-env[.bat], increasing the JAVA_MEM environment variable at the end of this script. For training perceptron models in memory, you may need 16g; for realization with the very large gigaword 5-gram model, you may need 8g; otherwise, for parsing and realization with CCGbank-derived models, 4g or possibly even 2g should suffice; finally, for small grammars 512m or 256m should be ok.
If you've managed to configure the system, you should be able to change to the directory for the "tiny" sample grammar and run
tccg (for text ccg), the command-line tool for interactively testing grammars:
> cd grammars
> cd tiny
> tccg (Windows/Unix)
Provided tccg starts properly, it loads the grammar files, parses them, and shows the command-line interface (at which point you can type
:h for help or
:q to quit).
If you trouble starting up tccg, make sure you have set the environment variables properly, and that the tccg script (located in
openccg/bin) calls the right shell environment (top-line of the script; to solve the problem, either comment out this line or correct the path).
Semantic dependency graphs in testbed files can be visualized with the help of Graphviz's dot tool. First, download and install Graphviz. Then, use tccg to create a testbed files with logical forms in it. For example, you can try some examples in the worldcup sample grammar and save them to a file using the command ':2tb tb.xml'. Then make a directory to store the visualized graphs. Finally, run the ccg-draw-graph tool as shown below:
> cd grammars/worldcup
> tccg (parse examples, save using ':2tb tb.xml')
> mkdir graphs
> ccg-draw-graph -i tb.xml -v graphs/g
You can also show the semantic classes or word indices using the
-w options, respectively. The graphs can be displayed with any PDF display tool.
Note that the graph visualization requires the logical forms to be stored in an xml node-rel format for graphs, as in the worldcup or routes sample grammars. See
SAMPLE_GRAMMARS for more information.
This release includes a new disjunctivizer package, for creating a disjunctive LF XML structure based on an LF graph difference. An LF graph difference is a characterization of the difference between two Hybrid Logic Dependency Semantics graphs and an alignment between them in terms of the edits needed to make one into the other: inserts, deletes, and substitutions. See the build file for junit tests that illustrate how to use the package.
OpenCCG includes a tool for generating HTML documentation of the XML files that specify a grammar. It can be run either from the
ccg-grammardoc script in the
bin/ directory, or as an Ant task. An example of how to incorporate GrammarDoc into an Ant build file is given in the "tiny" grammar (
grammars/tiny/build.xml), in a build target called
The OpenCCG build system is based on Apache Ant. Ant is a little but very handy tool that uses a build file written in XML (
build.xml) as building instructions. Building the Java portion of OpenCCG is accomplished using the script
ccg-build; this works under Windows and Unix, but requires that you run it from the top-level directory (where the
build.xml file is located). If everything is right and all the required packages are visible, this action will generate a file called openccg.jar in the
Note that you should not build from source by invoking 'ant' directly. Instead, you should use
ccg-build as shown below (Unix), after ensuring that you've set
JAVA_HOME and updated your
ccg-build script invokes ant with various parameters that aren't set properly if ant is invoked from the command line):
> cd $OPENCCG_HOME
The Eclipse IDE can be used for editing the Java source code, though setup can be a bit tricky. The most reliable method seems to be as follows. First, follow the instructions above for building the source from the command line. Then, in Eclipse, choose File|New|Java Project to create a new Java Project, and give it a name, such as 'openccg'. Leave the default settings as they are, and click Next. Then choose Link Additional Source and browse to the folder
src/ in the directory where you installed OpenCCG (i.e.
$OPENCCG_HOME/src). You'll need to give this location a new name, such as 'src2' ('src' is already taken by default). The final step is to Add External JARs under the Libraries tab. From OpenCCG's lib directory (i.e.
$OPENCCG_HOME/lib), choose all of the
.jar files. At this point, you should be able to hit Finish and the code should compile in Eclipse.
Note that with Eclipse's default settings, the code will compile in your Eclipse workspace, which is separate from your OpenCCG installation (this is a good thing, as Eclipse uses a
bin/ directory for compiled Java classes, whereas OpenCCG uses
bin/ for command-line scripts). Thus, once you have made a round of changes in Eclipse and are ready to try them out in OpenCCG, go back to the command line in
$OPENCCG_HOME and invoke
ccg-build to re-build the
openccg.jar file. This will make your changes available in OpenCCG's programs, such as
Please report bugs at by creating an issue with a description of the problem.