such training 0.0015503560000000001
training data 0.001529254
unsupervised problem 0.001454151
prior distribution 0.001368929
induction problem 0.001305676
sampling algorithm 0.001273431
data strings 0.001268931
such grammars 0.001242114
same distribution 0.001212533
dependency model 0.0012075340000000001
such analysis 0.001190384
function value 0.001157312
small training 0.001147229
observed data 0.00112165
function algorithms 0.00111122
rule probability 0.001104124
posterior distribution 0.001088273
partition function 0.001085651
dirichlet distribution 0.0010804970000000001
grammar parameters 0.001072167
prior information 0.001064876
conditional distribution 0.001052336
tight approach 0.0010515049999999999
factorial function 0.001038504
problem 0.00103702
element approach 0.001034318
grammar likelihood 0.001024152
proposal distribution 0.001018837
hood function 0.0010103
different distributions 0.001000046
unsupervised grammar 9.97287E-4
training corpora 9.97052E-4
production probability 9.91629E-4
first step 9.8638E-4
bayesian case 9.798580000000001E-4
first rule 9.749540000000001E-4
tight grammar 9.71303E-4
dirichlets distribution 9.673730000000001E-4
linear grammar 9.629059999999999E-4
prior yield 9.57044E-4
multinomial distribution 9.56083E-4
probabilistic models 9.537650000000001E-4
tion approach 9.46616E-4
normal form 9.463469999999999E-4
simple grammar 9.46115E-4
tion probability 9.44577E-4
corresponding sampling 9.411619999999999E-4
probability mass 9.40644E-4
rule parameters 9.37816E-4
renormalization approach 9.36785E-4
ability distribution 9.338230000000001E-4
bayesian set 9.3336E-4
use algorithm 9.32628E-4
pcfg rule 9.32262E-4
rior distribution 9.32009E-4
pcfg likelihood 9.304529999999999E-4
model 9.29996E-4
different approaches 9.28156E-4
probability vectors 9.25747E-4
probability simplex 9.17464E-4
same rules 9.122869999999999E-4
tree derivation 9.11138E-4
other approaches 9.05696E-4
malization approach 9.03581E-4
whole probability 9.02386E-4
polynomial time 8.92129E-4
gibbs sampler 8.908200000000001E-4
first samples 8.864630000000001E-4
rule probabilities 8.86359E-4
special case 8.84786E-4
finite set 8.84442E-4
speech tag 8.806479999999999E-4
tight pcfg 8.776039999999999E-4
parse trees 8.70987E-4
linear pcfg 8.69207E-4
accurate models 8.59814E-4
dirichlet parameter 8.53781E-4
bayesian estimation 8.53386E-4
bayesian posterior 8.5293E-4
supervised case 8.52681E-4
complex models 8.52358E-4
grammar induction 8.48812E-4
pcfg measure 8.458739999999999E-4
parameter assignment 8.438009999999999E-4
same class 8.364099999999999E-4
uniform number 8.359680000000001E-4
ear grammar 8.3467E-4
fixed string 8.31676E-4
realistic models 8.30657E-4
grammar likeli 8.29525E-4
posterior distributions 8.28781E-4
tag sequences 8.2262E-4
sentential form 8.22213E-4
dirichlet distributions 8.21005E-4
tight pcfgs 8.208919999999999E-4
tight distributions 8.16496E-4
ble trees 8.141000000000001E-4
linear pcfgs 8.12495E-4
previous parameters 8.1242E-4
gold standard 8.08475E-4
