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word tree 0.00414824
pos model 0.0037041599999999997
word error 0.003622378
word clustering 0.003612593
word class 0.0035910309999999997
word perplexity 0.0035898379999999997
perplexity word 0.0035898379999999997
word classes 0.0035821069999999997
single word 0.003566027
word sequence 0.003547942
trigram word 0.003481845
absolute word 0.0034661609999999997
word probabilities 0.003465554
word candidates 0.0034576579999999997
word decision 0.003439425
optimal word 0.003438079
word backoff 0.0034367069999999998
word classification 0.0034179659999999997
next word 0.0034035709999999998
likely word 0.003396549
word identities 0.003379143
word identity 0.0033788679999999997
word proba 0.003377736
unambiguous word 0.003374191
word seqiaences 0.003369689
word graph 0.003369689
word hierarchi 0.003369689
word transcription 0.003369689
word fragments 0.003369689
pos tag 0.00323974
pos tree 0.00318137
pos tags 0.0029055360000000002
pos information 0.002879521
pos probability 0.0028704200000000003
same pos 0.002781248
pos tagging 0.002766384
pos error 0.002655508
class pos 0.002624161
single pos 0.002599157
pos sequence 0.0025810720000000002
tree model 0.00257867
rate pos 0.002578073
pos trees 0.002504283
pos probabilities 0.002498684
pos tagset 0.002497541
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pos table 0.002467438
extra pos 0.0024593510000000002
pos classification 0.002451096
mon pos 0.002422388
content pos 0.002406317
pos taggers 0.002403688
ent pos 0.002403305
trivial pos 0.002402124
pos possibilities 0.002402124
pos adja 0.002402124
model probability 0.00226772
same model 0.0021785479999999998
model models 0.00216941
other words 0.002169116
language model 0.0020928459999999998
similar words 0.002073335
such words 0.002050687
previous words 0.002022729
different words 0.0019650709999999997
bigram model 0.00193921
model size 0.00193042
trigram model 0.001912275
model column 0.0018803449999999998
acoustic model 0.001875521
backoff model 0.001867137
tic model 0.0018579199999999999
separate words 0.001836878
model scales 0.0018024859999999998
neighboring words 0.001802183
guage model 0.001801593
gram model 0.001799796
subsequent words 0.001798128
occurring words 0.0017930869999999998
tween words 0.0017926799999999998
adjacent words 0.0017827569999999998
preceding words 0.001782342
ring words 0.0017794179999999998
tree algorithm 0.001653762
tree models 0.0016466200000000001
tree approach 0.001634446
model 0.00155073
training corpus 0.001539152
words 0.00152967
tree learning 0.0015125149999999999
training data 0.0014685129999999998
binary tree 0.001436898
tree approaches 0.001388823
tag interpretation 0.0013525310000000001
test corpus 0.00135066
decision tree 0.001347065
tree techniques 0.001340008
tion tree 0.001333755
