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model model 0.00578774
tag dictionary 0.00390354
tagging model 0.0038951800000000003
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pos tag 0.003891953
dictionary model 0.00385766
other tag 0.003629395
tag distribution 0.0035805000000000003
grammar model 0.003560726
model parameters 0.0034590370000000003
tag pairs 0.003453393
small model 0.003439127
standard tag 0.0034244040000000002
probabilistic model 0.003383768
tag bigram 0.00338279
tag label 0.00338012
tag sequence 0.0033765360000000003
unsupervised tag 0.003363039
tag bigrams 0.003355058
common model 0.0033510130000000003
certain tag 0.003323316
size model 0.0033216680000000003
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possible tag 0.003319272
tag labels 0.003317609
tag assignments 0.003306995
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gold tag 0.003301193
tag sequences 0.003295019
crf model 0.003294074
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trained tag 0.0032720410000000003
tag pair 0.0032696080000000002
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model selection 0.0032554990000000002
tag automatic 0.003253728
rare tag 0.003251047
real tag 0.003246246
tag combinations 0.003241997
tag possibilities 0.003218246
viterbi tag 0.003211996
model sizes 0.003199616
model our 0.003191138
spelling model 0.0031896240000000003
spl model 0.0031830300000000003
allocation model 0.003173205
model descrip 0.0031651400000000003
ative model 0.0031651400000000003
model ele 0.0031651400000000003
model 0.00289387
word dictionary 0.00254743
same word 0.00224706
many word 0.0022196940000000004
training data 0.002130958
word tokens 0.002062794
word type 0.002041653
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word sequence 0.002020426
word types 0.001967717
pos tagging 0.001953513
sample word 0.0019281110000000001
raw word 0.0019245960000000002
example word 0.001922159
distinct word 0.0019212640000000002
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quent word 0.001891754
few word 0.001887715
test data 0.001873666
known word 0.001870775
foreign word 0.0018608370000000002
word contexts 0.001856138
data likelihood 0.001713708
ing data 0.001677761
treebank data 0.001676514
tagging grammar 0.001668166
same tagging 0.0016647300000000001
tagging accuracy 0.0016475930000000001
tagging results 0.001571636
tagging performance 0.0015542440000000002
unlabeled data 0.0015437620000000002
dictionary variables 0.001538259
grammar set 0.001514498
test set 0.001470038
corpus grammar 0.001453545
unsupervised tagging 0.001424599
system tagging 0.001422048
tagging problem 0.001417431
test corpus 0.001409085
dictionary entries 0.0014068919999999999
correct tagging 0.001402922
overall pos 0.001399012
full dictionary 0.001381088
possible tagging 0.001380832
unsupervised pos 0.0013754919999999999
tagging assignments 0.001368555
good tagging 0.001368214
gold tagging 0.001362753
different models 0.001360785
grammatical tags 0.001358207
