Some relevant links

Some of the links here may be out of date as we are unable to check them with any regularity. If you find a broken link, we suggest using the Wayback Machine to get an idea of what was previously at that location.

Older CWB project sites

Users of the CWB

The following is an incomplete list of some projects using CWB as (part of) their corpus software infrastructure. Many other CWB-powered platforms can be found in the list of Web interfaces.

Online demos

Official web-accessible CQP demos are hosted by the Computational Corpus Linguistics Group at FAU Erlangen-Nürnberg, Germany. These demos allow you to run CQP queries on selected corpora with various display and post-processing options. They can be used to walk through large parts of the CQP Query Language Manual without installing a local copy of the CWB and tutorial corpora. Click the links below to access the available corpora:

Many institutions now host public CQPweb installations. The oldest is maintained by the developer at Lancaster University. An external list of CQPweb servers, and other web interfaces using CWB/CQP, has been compiled by Xu Jiajin of BFSU.

Other online systems include:

If you are offering a public Web interface based on the CWB and would like it to be listed here, please drop us a line.

Other links

Python APIs

Jørg Asmussen and Yannick Versley have developed a Python API for CQP and the low-level CL library, based on the corresponding CWB/Perl modules. The cwb-python module can be downloaded from PyPI as an installable package, but is no longer maintained.

A newer module cwb-ccc works around some issues in cwb-python and provides higher-level convenience functions. Developed and actively maintained by Philipp Heinrich, it can directly be installed from PyPI.

R APIs

The R package RcppCWB provides a full-fledged and reliable interface to CQP queries and low-level corpus access via the CL library from within R. The package can be installed directly from CRAN using the standard R package manager or the command install.packages("RcppCWB"). Binary releases for MacOS and Windows work without any other prerequisites. The package has been developed, and is actively maintained, by Andreas Blätte.

An earlier attempt to provide an R API for CWB was the package rcqp, developed by Bernard Desgraupes and Sylvain Loiseau. It is no longer available on CRAN due to compatibility issues, but the source code can still be obtained from the CRAN archive. It can be compiled from source on Linux and Mac OS X, provided that the external dependencies of CWB 3.5β have been installed. In particular, the Glib2 and PCRE libraries are required (see this document for details).