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tag context 0.00404072
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tag models 0.003587777
tag set 0.003551846
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tag probability 0.003482147
tag level 0.003408786
level tag 0.003408786
new tag 0.003379968
basic tag 0.003302443
several tag 0.003290233
context model 0.0032410700000000004
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tag con 0.003193804
tag setting 0.003176346
hierarchical tag 0.003153742
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stochastic tag 0.003144688
cal tag 0.003142601
chical tag 0.00311229
erarchical tag 0.003111116
tree model 0.0028839700000000005
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word probability 0.002109607
model 0.00205328
level word 0.0020362460000000002
word level 0.0020362460000000002
context tree 0.00201848
other words 0.001840816
word length 0.001821255
sophisticated word 0.001784096
single context 0.001580301
data distribution 0.0015756260000000001
basic tags 0.001565763
specific context 0.001549684
context trees 0.001529709
hierarchical context 0.001488602
detailed context 0.0014869269999999999
tree training 0.001480603
cal context 0.001477461
general tags 0.001474801
context symbols 0.001467833
context ree 0.0014646799999999999
context rees 0.001449558
context elements 0.001448885
coverage tags 0.001417775
subdivision tags 0.001417349
current data 0.001384574
generm tags 0.001381683
exceptional words 0.001357092
class words 0.001340232
next words 0.0013091539999999999
example data 0.001307592
probability distribution 0.001300473
learning algorithm 0.001285713
pos tagging 0.0012726819999999998
tree mixture 0.001269887
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preceding words 0.001223684
single tree 0.0012232010000000001
text tree 0.0012045810000000001
human algorithm 0.001195728
tree this 0.001192175
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next tree 0.0011828350000000001
binary tree 0.001175816
test corpus 0.001175384
sparse data 0.001168776
data compression 0.001166275
other applications 0.001164792
data sparseness 0.001163828
fitting data 0.001163828
new probability 0.001156255
other conditions 0.001149832
other elements 0.001144902
target language 0.001140796
speech tagger 0.001138325
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tree estimator 0.001102197
tree construction 0.001091936
tree weighting 0.001089345
structed tree 0.001089345
second level 0.0010783149999999998
training phase 0.001076743
tagging problem 0.001043172
leaf node 0.001041344
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speech level 0.001021947
tagging scheme 0.0010179669999999998
probability distributions 0.00100511
mixture method 0.001000435
subdivision set 0.001000015
right node 9.95308E-4
left node 9.91691E-4
root node 9.90283E-4
first step 9.89761E-4
ally node 9.8462E-4
