word tag 0.00490647
tag dictionary 0.004391606
pos tag 0.004255158
initial tag 0.004045028
tag transition 0.003968817
new tag 0.003951758
tag distribution 0.003949178
ing tag 0.00392713
full tag 0.003922884
tag path 0.003906146
tag bigrams 0.003898649
possible tag 0.00389751
tag dictionaries 0.003868819
small tag 0.003868417
next tag 0.003863823
tag frequency 0.003852407
tag bigram 0.003849632
specific tag 0.0038456750000000002
good tag 0.003826166
only tag 0.003825896
complete tag 0.003804893
distinct tag 0.003792932
tag dic 0.003792841
correct tag 0.003775633
right tag 0.003774198
third tag 0.003771761
tag transitions 0.003767154
particular tag 0.003742741
ptb tag 0.003739892
tag sets 0.003722356
tag paths 0.003717859
noisy tag 0.0037099480000000002
incomplete tag 0.003703497
tag dictio 0.00369994
plete tag 0.0036989
allowable tag 0.003693486
tag sym 0.003691769
candidate tag 0.003691475
tag frequencies 0.003690683
tag dictionar 0.00369015
improving tag 0.00369015
tag continuations 0.00369015
test word 0.002066906
new word 0.001991568
model tokens 0.001987192
word tokens 0.001978532
bayesian model 0.001967542
model minimization 0.0019393099999999999
word sequence 0.001935844
generative model 0.0019293969999999998
word type 0.001907983
pos tags 0.0018773280000000002
raw word 0.001857086
pos tagging 0.001854208
model taggers 0.0018511559999999999
markov model 0.0018494929999999998
word count 0.001828019
training data 0.001823874
other words 0.001821288
english data 0.001820531
model estimation 0.001816696
unseen word 0.001816537
word types 0.001812619
unknown word 0.00178565
english tagging 0.001764411
different tags 0.001753072
known word 0.001746118
foreign word 0.001732557
eign word 0.00173022
tagging work 0.001698768
test data 0.001682266
many words 0.001612843
new words 0.001582108
tagging models 0.0015605710000000002
initial set 0.001553193
common tags 0.001549952
test set 0.001535261
possible tags 0.00151968
tagging accuracy 0.0015085040000000001
model 0.0014818
raw data 0.001472446
new set 0.0014599230000000001
labeled data 0.001447
data sentences 0.001441566
full set 0.001431049
distinct words 0.001423282
simple set 0.001411324
unseen words 0.001407077
complete tagging 0.001403943
such pos 0.0013907400000000001
italian data 0.001387923
dictionary rules 0.001378647
unlabeled data 0.001376761
unknown words 0.00137619
ian data 0.001366955
unlikely tags 0.001366143
problematic words 0.001363708
incomplete data 0.001358667
bigram set 0.001357797
tut data 0.0013545690000000001
