parsing model 0.0032702020000000003
language model 0.003046758
markov model 0.002881228
model transition 0.0028041330000000003
model performance 0.002794795
sequence model 0.0027460410000000003
initial model 0.0027323620000000003
context model 0.002726767
model parameters 0.002695757
ccl model 0.002687426
chunking model 0.002678135
task model 0.002672631
dependency model 0.00265357
model input 0.0026527490000000003
prlg model 0.002645587
model prec 0.0026312880000000003
model increases 0.002625039
ctb model 0.002622202
model chunkers 0.00260795
exact model 0.002602521
erative model 0.002583638
quence model 0.00258061
model 0.00234211
other models 0.001811478
constituent parsing 0.001788337
markov models 0.001787378
text models 0.00169474
sequence models 0.001652191
initial models 0.001638512
word constituents 0.001635115
chunker models 0.00156316
prlg models 0.001551737
topic models 0.001524287
grammar rule 0.001491877
unsupervised word 0.0014841910000000002
constituent structures 0.001461376
parsing results 0.001434542
word classes 0.0014178950000000002
rule probabilities 0.0013969709999999999
treebank constituent 0.0013909220000000002
pcfg rule 0.001389635
constituent tree 0.001388491
constituent parser 0.0013799419999999999
constituent structure 0.001374811
parsing research 0.001372796
standard data 0.0013633299999999998
unsupervised parsing 0.001361133
parsing system 0.0013354880000000001
parsing table 0.00130958
text constituent 0.0013067250000000001
parsing english 0.001306246
constituent analysis 0.001296464
parsing systems 0.001286723
constituent chunk 0.001282126
tial parsing 0.001275101
several information 0.001257787
other words 0.001248702
models 0.00124826
constituent context 0.001244902
full parsing 0.0012417880000000002
constituent length 0.001231636
constituent trees 0.001221228
overall constituent 0.001213651
parsing methods 0.001210952
probability distributions 0.001205532
partial parsing 0.001205008
constituent chunks 0.001198088
constituent chunking 0.0011962700000000001
cascaded parsing 0.001191746
unsupervised grammar 0.001191534
pervised parsing 0.0011905190000000001
open parsing 0.0011847860000000002
local constituent 0.001179013
stituency parsing 0.001176821
full constituent 0.001173941
parsing metric 0.0011721750000000001
vised parsing 0.001166783
constituent spans 0.001163924
constituent types 0.001163556
uniform probability 0.001152847
constituent prediction 0.0011514680000000001
emit constituent 0.001137779
constituent predictions 0.001135177
standard constituents 0.0011322329999999999
tree structures 0.001129377
transition probabilities 0.00112561
constituent boundaries 0.001111811
internal constituent 0.0011098710000000001
constituent identification 0.001109552
constituent struc 0.001105502
predicted constituent 0.001103763
inverse probability 0.00109626
linear grammar 0.001093646
ing training 0.001090617
data sets 0.0010843749999999998
sentence root 0.001082677
sentence boundaries 0.001081416
sentence segmentation 0.0010736930000000001
function words 0.001068875
pos tags 0.001067775
