C&C Language Processing Tools
The tools have been developed by James Curran and Stephen Clark. Boxer
has been developed by Johan Bos. Both the parser and taggers are
written in C++ and are efficient enough to be used for large-scale
language processing tasks.
- Wide-coverage efficient CCG parser
- Maximum Entropy taggers for CCG supertagging, POS tagging,
chunking and Named Entity Recognition
- Boxer: generates Discourse Representation Structures from the
output of the parser and taggers
[C&C
website][demo]
Machine Translation Toolkit
GenPar toolkit for syntax-based Statistical Machine Translation
initially developed as part of the 2005 JHU workshop
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