language hmm 0.002407403
target language 0.002344254
language family 0.002341997
single language 0.002268363
language cluster 0.002237154
language clusters 0.002201579
hmm model 0.002192953
unknown language 0.002156481
bayesian model 0.002144699
model structure 0.002144182
related language 0.002141556
majority language 0.002127602
known language 0.002123353
coherent language 0.002102709
language grouping 0.002101791
language families 0.002101598
language vocabulary 0.002094379
plurality language 0.002091772
language groups 0.00209027
language fam 0.002089967
language isolates 0.002089967
language vocabu 0.002089076
language clus 0.002088331
ancient language 0.002088331
model con 0.002049624
model our 0.002020597
decipherment model 0.001962191
second model 0.001960219
tic model 0.001938847
probabilistic model 0.001916726
model variants 0.001906882
clust model 0.001883653
model yields 0.001880937
model cons 0.001874012
explicit model 0.001874012
language 0.00185652
tag transition 0.001843094
tag counts 0.001719614
other languages 0.0016813449999999999
single tag 0.001646563
model 0.00164207
tag tokens 0.001624972
tag value 0.00159586
tag categories 0.001581186
tag sequences 0.0015760569999999998
tag category 0.001571374
new languages 0.001569441
bigram tag 0.001567221
tag assignment 0.001530676
tag mappings 0.0015287369999999998
tag observation 0.001526202
initial tag 0.001506556
likely tag 0.0014763889999999998
tag posteriors 0.001472331
alphabet languages 0.0013887259999999998
word types 0.001372845
unknown languages 0.001340911
distinct languages 0.0013359729999999998
related languages 0.001325986
known languages 0.0013077829999999999
unique word 0.001293121
member languages 0.00128302
sampling values 0.0012749189999999998
quechuan languages 0.001273242
singleton languages 0.001273242
austronesian languages 0.001273242
dividual languages 0.001273242
data set 0.001272087
other words 0.001263765
hmm parameters 0.001194399
same set 0.0011636200000000002
our data 0.001136289
data our 0.001136289
same family 0.001134772
linguistic structure 0.001118251
phonetic tags 0.0011166560000000002
dirichlet parameters 0.001103435
phonetic values 0.001098398
multilingual learning 0.001091252
sampling inference 0.001089193
emission distribution 0.001087939
dirichlet transition 0.0010682929999999999
transition dirichlet 0.0010682929999999999
languages 0.00104095
average accuracy 0.00103095
cluster parameters 0.00102415
same time 0.001020769
same base 0.001000052
first task 9.968660000000001E-4
gibbs sampling 9.91825E-4
data generat 9.89998E-4
other category 9.77049E-4
multilingual priors 9.75673E-4
predictive distribution 9.750029999999999E-4
trigram hmm 9.662599999999999E-4
sample values 9.657089999999999E-4
linguistic categories 9.626050000000001E-4
pervised accuracy 9.62119E-4
ing hmm 9.59459E-4
linguistic patterns 9.461370000000001E-4
