Nota bene: This project is entirely unsupported. I have not been able to get it to work, so creating an issue asking for guidance would be futile. If you have files to contribute, or build instructions / documentation that others might find useful, awesome! Please submit a PR here.
The canonical site, http://svn.ask.it.usyd.edu.au/trac/candc, is totally down.
Luckily, the Wayback Machine has archived most of that site:
- Latest capture of the C&C tools main page
Unfortunately, James Curran put all the downloads behind a registration wall, so the Wayback Machine doesn't have any records of those.
Fortunately, by the time I got around to creating this repository, Stephen Clark still hosted a copy of the downloads on his Cambridge website, http://www.cl.cam.ac.uk/~sc609/candc-1.00.html (latest capture on the Wayback Machine). The files available there were the 1.00 version, so not the latest version of everything, but better than nothing!
That site and files are currently still live and accessible, but because I knew that would happen, I downloaded and added them to this repository. The following section is taken verbatim from Stephen Clark's "C&C Parser Downloads" page.
-
source code: gzipped tar
-
precompiled binaries (do not contain Boxer):
- Linux (static linked) gzipped tar (12MB)
- Mac OS X 10.4 (universal) gzipped tar (12MB)
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models trained on CCGbank 02-21 and MUC 7: gzipped tar (50MB)
-
other models:
- POS model trained on Penn Treebank 3: gzipped tar (6MB)
- chunk model trained on Penn Treebank 3: gzipped tar (4MB)
- MUC 7 model (uses Penn Treebank 3 POS tags): gzipped tar (4MB)
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models for biomedical parsing
- POS model (v1.00, 1/12/09): gzipped tar (15MB)
- supertagging model (v1.00, 1/12/09): gzipped tar (45MB)
- markedup_sd file: markedup_sd
- Post-processing script: grs2depbank (already current in parser 1.00) or grs2sd: grs2sd
I have no idea. Creative Commons should come up with something for abandonware.
An Inria researcher runs a live demo server at http://valeriobasile.github.io/candcapi/
To repeat the needlessly heteronormative example from that page (the patriarchy is strong with this one):
curl -d 'Every man loves a woman' 'http://gingerbeard.alwaysdata.net/candcapi/proxy.php/raw/pipeline?semantics=fol'
fol(1,not(some(A,and(n1man(A),not(some(B,some(C,and(r1patient(B,C),and(r1agent(B,A),and(v1love(B),n1woman(C))))))))))).