tag dictionary 0.003264957
tag set 0.003151478
hmm tag 0.0028717260000000002
hmm model 0.002833056
full tag 0.00282569
tag sequence 0.0028230250000000003
tag pairs 0.002822799
sequence model 0.002784355
emission model 0.002744197
tag dictionaries 0.002736285
previous tag 0.002713132
final model 0.002642053
tag pair 0.0026302630000000003
model parameters 0.002627028
single tag 0.002619971
tag sets 0.002610841
transition model 0.002604471
latent tag 0.00259872
markov model 0.002596813
unambiguous tag 0.002594884
allowed tag 0.002586019
consecutive tag 0.002583339
unique tag 0.0025690960000000003
tag inventory 0.0025676460000000003
tag restrictions 0.0025659790000000003
variable model 0.002557138
ibm model 0.002549852
model optimiza 0.002527511
model 0.00225611
word pairs 0.0022094890000000002
word type 0.002109169
training data 0.002089985
word types 0.002007455
unambiguous word 0.001981574
ith word 0.001954212
same data 0.001811968
unknown words 0.0017843619999999998
english data 0.0017621489999999997
training set 0.001758113
similar data 0.0016780239999999997
data likelihood 0.0016724169999999998
tagging accuracy 0.001627095
observational data 0.001610135
data setting 0.001594941
emissions data 0.001528764
transductive data 0.001476064
identical data 0.001473275
data likeli 0.0014652939999999998
data likelihoods 0.001459642
allowed words 0.001446729
other learning 0.001440838
full training 0.001432325
utive words 0.0014274969999999998
morphology features 0.001426936
full set 0.001387608
oracle tags 0.0013830919999999998
different parameter 0.001362628
corpus context 0.001337094
corpus likelihood 0.001332788
test set 0.0013272610000000002
lexical features 0.001303547
final tagging 0.001302418
accurate tagging 0.001298426
ing corpus 0.0012905759999999999
allowed tags 0.001278413
consecutive tags 0.001275733
training examples 0.001269144
supervised learning 0.001262174
coarse tags 0.0012617499999999999
corpus analysis 0.001241527
labeled corpus 0.001234194
other methods 0.001206552
learning method 0.001187587
models ambiguity 0.0011825849999999999
initial likelihood 0.001176329
additional information 0.001175957
sequence models 0.001171391
hmm tagger 0.001156475
words 0.00115549
unlabeled corpus 0.001150555
fixed corpus 0.001143929
minimal set 0.00113189
coarse set 0.001131274
different approaches 0.00111885
recent work 0.0011160150000000001
same likelihood 0.001107245
token pairs 0.001096893
supervised uniform 0.001080155
supervised performance 0.001066875
many languages 0.001064246
learning technique 0.001064089
simple method 0.001044916
initial transition 0.001040843
learning techniques 0.001018024
information shar 0.001015238
bayesian hmm 0.001006566
hmm taggers 0.001004225
uniform initialization 0.001000815
ging accuracy 9.982440000000001E-4
accuracy solutions 9.87794E-4
