Carmel

Carmel is a finite-state transducer package written by Jonathan Graehl at USC/ISI. Carmel is standard C++, requiring only the headers from Boost (untar and use make CPPFLAGS=-Idir/boost-source-dir). The Makefile requires GNU Make (at least version 3.8), or Microsoft Visual C++ .NET, but cygwin and linux binaries are included. Carmel does build on Mac OS X. Carmel includes code for handling finite-state acceptors and transducers, weighted transitions, empty transitions on input and output, composition, k-most likely input/output strings, and both Bayesian (Gibbs sampling) and EM (forward-backward) training.

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References in zbMATH (referenced in 2 articles )

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  1. Maletti, Andreas: Minimizing deterministic weighted tree automata (2009)
  2. Knight, Kevin: Capturing practical natural language transformations (2008)