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probability distribution 0.0012750600000000002
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same distribution 0.001136101
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unsupervised problem 0.0011015769999999999
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unsupervised grammar 0.0010643010000000001
regular language 0.001063545
such grammars 0.001053848
data strings 0.001052077
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function value 0.001023634
small training 0.001021555
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observed data 0.0010143349999999999
simple grammar 0.001006411
other rule 9.9815E-4
function algorithms 9.97577E-4
partition function 9.91633E-4
posterior distribution 9.89297E-4
induction problem 9.75493E-4
tight grammar 9.7281E-4
dirichlet distribution 9.720620000000001E-4
training corpora 9.626840000000001E-4
model 9.46112E-4
different distributions 9.406830000000001E-4
grammar induction 9.382170000000001E-4
renormalization approach 9.361689999999999E-4
tion function 9.28357E-4
probability vectors 9.23939E-4
proposal distribution 9.23644E-4
factorial function 9.23394E-4
conditional distribution 9.2038E-4
rule parameters 9.10529E-4
probability mass 9.09658E-4
hood function 9.07151E-4
first step 8.98757E-4
different approaches 8.961100000000001E-4
same rules 8.871980000000001E-4
production probability 8.84944E-4
same posterior 8.80544E-4
dirichlets distribution 8.785900000000001E-4
probability ofg 8.74097E-4
first rule 8.73235E-4
other approaches 8.72839E-4
probability vec 8.72804E-4
whole probability 8.72804E-4
probability sim 8.72804E-4
prior yield 8.70895E-4
prior distribu 8.697E-4
multinomial distribution 8.673730000000001E-4
pcfg rule 8.55003E-4
unsupervised set 8.451999999999999E-4
rior distribution 8.428820000000001E-4
language 8.33314E-4
corresponding sampling 8.325050000000001E-4
different ways 8.20719E-4
parse trees 8.09934E-4
use algorithm 7.992190000000001E-4
rule probabilities 7.92194E-4
bayesian posterior 7.91921E-4
linear pcfg 7.84547E-4
rule counts 7.84404E-4
pcfg likelihood 7.844E-4
tag sequences 7.77268E-4
variational bayes 7.73548E-4
same class 7.7253E-4
binary trees 7.67078E-4
gibbs sampler 7.60125E-4
previous rule 7.59582E-4
dirichlet parameter 7.59569E-4
possible approaches 7.580779999999999E-4
normal form 7.57616E-4
bayesian inference 7.54779E-4
sible trees 7.538200000000001E-4
previous parameters 7.48907E-4
posterior distributions 7.46734E-4
uniform number 7.418209999999999E-4
bayes rule 7.38714E-4
computational lin 7.36106E-4
supervised set 7.353220000000001E-4
first samples 7.3367E-4
bayesian priors 7.31277E-4
dirichlet distributions 7.29499E-4
second rule 7.25502E-4
parameter assignment 7.24287E-4
derivational step 7.20083E-4
pcfg measure 7.200290000000001E-4
bayesian estimation 7.18878E-4
bayesian case 7.17683E-4
problem 7.16682E-4
linear pcfgs 7.114370000000001E-4
bayesian setting 7.09022E-4
finite set 7.06748E-4
