This parser is basically the Berkeley parser 1.7
(http://nlp.cs.berkeley.edu/software.shtml) with some small adaptations. If you
use this code, please cite:

"Improved Inference for Unlexicalized Parsing"
Slav Petrov and Dan Klein 
in HLT-NAACL 2007

I enabled the parsing of word graphs in the following format:
0 new 1 0.931861
0 new 1 0.041028
0 new 1 0.027111
1 pix 2 0.994940
1 pic 2 0.002540
1 photos 2 0.002520
2 comming 3 0.782531
2 coming 3 0.210903
2 coming 3 0.006566
3 tomorroe 4 0.904690
3 tomorrow 4 0.079266
3 tomorrow 4 0.016044
.

This makes it work together with MoNoise (https://bitbucket.org/robvanderg/monoise)
You can tune the weights given to the normalization with "-latticeWeight"


other small additions:
-outputChartSize: Prints the chart size after pruning (at the last parse level)
-server: runs the jar as a server application, can be used to communicate trough sockets. Specify the port as argument on the commandline.

