Software

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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