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-Instructions for running the compound splitter, which is a reimplementation
-and extension (more features, larger non-word list) of the model described in
-
-  C. Dyer. (2009)  Using a maximum entropy model to build segmentation
-            lattices for MT. In Proceedings of NAACL HLT 2009,
-            Boulder, Colorado, June 2009
-
-If you use this software, please cite this paper.
-
-
-GENERATING 1-BEST SEGMENTATIONS AND LATTICES
-------------------------------------------------------------------------------
-
-Here are some sample invokations:
-
-  ./compound-split.pl --output 1best < infile.txt > out.1best.txt
-      Segment infile.txt according to the 1-best segmentation file.
-
-  ./compound-split.pl --output plf < infile.txt > out.plf
-
-  ./compound-split.pl --output plf --beam 3.5 < infile.txt > out.plf
-      This generates denser lattices than usual (the default beam threshold
-      is 2.2, higher numbers do less pruning)
-
-
-MODEL TRAINING (only for the adventuresome)
-------------------------------------------------------------------------------
-
-I've included some training data for training a German language lattice
-segmentation model, and if you want to explore, you can or change the data.
-If you're especially adventuresome, you can add features to cdec (the current
-feature functions are found in ff_csplit.cc).  The training/references are
-in the file:
-
-               dev.in-ref
-
-The format is the unsegmented form on the right and the reference lattice on
-the left, separated by a triple pipe ( ||| ).  Note that the segmentation
-model inserts a # as the first word, so your segmentation references must
-include this.
-
-To retrain the model (using MAP estimation of a conditional model), do the
-following:
-
-  cd de
-  ./TRAIN
-
-Note, the optimization objective is supposed to be non-convex, but i haven't
-found much of an effect of where I initialize things.  But I haven't looked
-very hard- this might be something to explore.
-