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Software for unsupervised word segmentation and language model learning using lattices
According to latticelm.h:
<< " -annealsteps: The number of annealing steps to perform (3)" << endl
<< " See Goldwater+ 2009 for details on annealing." << endl
<< " -anneallength: The length of each annealing step in iterations (5)" << endl
however the default value seems different:
LatticeLM() : numBurnIn_(20), numAnnealSteps_(5), annealStepLength_(3),
I think the help description is wrong.
Thanks for the great tool!
However, I'm wondering if there are any papers that describe the algorithms used in the program. I am interested in unsupervised text/char sequence segmentation, and it would be great if you could provide some references that I could cite.
Thanks
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