hybrid tree 0.002871978
language model 0.00276587
translation model 0.002616204
possible tree 0.002574926
tree structures 0.002500813
tree structure 0.0024872699999999998
tree generation 0.002440481
joint tree 0.002384638
tree representation 0.0023522869999999998
tree con 0.002331653
tree framework 0.002309824
tree rep 0.002261566
tree crf 0.002257586
brid tree 0.002252887
generative model 0.002140633
sentence word 0.0021189670000000002
previous model 0.002111205
novel model 0.002041738
word sequence 0.0020388660000000003
version model 0.0020382209999999998
simple model 0.00203646
model assumption 0.002017661
alternative model 0.0020105369999999997
forest model 0.002007812
model parameters 0.002001381
inversion model 0.001954
baseline model 0.001943965
line model 0.00194105
semantic parser 0.001936786
bigram model 0.0019144259999999999
semantic parsing 0.0019136230000000001
fields model 0.001912818
eration model 0.0019106729999999999
model dependen 0.0019078979999999999
sophisticated model 0.0018996109999999998
language sentence 0.001840097
translation rules 0.0017904029999999999
semantic cat 0.001773877
semantic categories 0.001765123
semantic category 0.001747532
semantic pars 0.001741906
semantic cate 0.0017401440000000001
natural language 0.001718011
word level 0.001707586
training data 0.0016728490000000001
training corpus 0.0016642000000000002
model 0.00165888
adjacent word 0.0016330490000000001
preceding word 0.001626062
language sentences 0.001614782
training set 0.001614479
language phrases 0.0016036129999999998
different hybrid 0.0015597
language generation 0.001542641
formal language 0.001520837
hybrid sequence 0.0015201540000000001
such hybrid 0.0014900640000000001
efficient training 0.0014659830000000001
hybrid system 0.001461212
possible hybrid 0.0014372439999999998
training cor 0.001434762
same hybrid 0.001418438
rate training 0.0014131690000000001
training phase 0.0014112670000000001
entire training 0.0014080160000000002
correct hybrid 0.0013904149999999999
language sen 0.0013761
identical training 0.0013748570000000002
training instances 0.001373766
language gen 0.001353766
language gener 0.001349622
ral language 0.001347561
example hybrid 0.001336425
ing hybrid 0.00129172
direct translation 0.00127795
complete hybrid 0.001253237
hybrid trees 0.001244457
system models 0.001238029
hybrid pattern 0.001232525
other words 0.0012278060000000001
new hybrid 0.001220748
chine translation 0.001200613
sequence features 0.001199955
function symbol 0.0011970589999999999
hybrid patterns 0.001193116
probable hybrid 0.001170728
different states 0.001152621
hybrid sequences 0.001139824
hybrid pat 0.001139685
such dependencies 0.001136668
training 0.00113147
optimal hybrid 0.0011240619999999999
neighboring hybrid 0.001123223
candidate hybrid 0.001118927
lar hybrid 0.001116498
adjacent hybrid 0.001114337
valid hybrid 0.0011081609999999999
cent hybrid 0.001107777
language 0.00110699
lowable hybrid 0.001105828
