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coarse grammar 0.001992607
sdp grammar 0.0019725669999999997
grammar symbol 0.00185923
unique grammar 0.0018511909999999999
implicit grammar 0.001778361
simple parser 0.001684636
derivation parser 0.001673085
final parser 0.0016058959999999999
parsing work 0.001571261
treebank annotation 0.00155426
sdp model 0.001550067
ford parser 0.00153752
grammar 0.00153602
ley parser 0.0015004909999999998
sdp parsing 0.001483217
derivation parsing 0.001442755
pcfg results 0.001360389
new annotation 0.0013369509999999999
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parser 0.001277
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other treebanks 0.0012134379999999998
coarse pcfg 0.001200407
treebank annotations 0.0011827040000000001
simple pcfg 0.001151456
minimal annotation 0.001142288
training data 0.0011211620000000002
treebank node 0.001115422
model 0.00111352
test parse 0.001110851
same cost 0.001108833
derivation parse 0.001101496
pcfg pass 0.001075239
wsj treebank 0.001065052
various pruning 0.001051239
training fragments 0.0010485590000000001
parsing 0.00104667
original results 0.001044066
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wsj training 0.001039436
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unlexicalized pcfg 0.001013955
training trees 0.0010115430000000002
pcfg reduction 0.001010024
length pcfg 0.001005827
local rules 9.906890000000001E-4
basic treebank 9.89366E-4
berkeley parsers 9.88491E-4
variable parsers 9.81014E-4
pcfg posteriors 9.66826E-4
lexical layer 9.591879999999999E-4
large fragments 9.53771E-4
other 9.51809E-4
parse the 9.49571E-4
treebank symbols 9.466850000000001E-4
large accuracy 9.41697E-4
previous results 9.34559E-4
many methods 9.33562E-4
annotation 9.17662E-4
few training 9.151060000000001E-4
lexical switches 9.09675E-4
switch rules 8.934710000000001E-4
girl training 8.90966E-4
test set 8.8219E-4
full sdp 8.810630000000001E-4
primary results 8.75292E-4
fragments sdp 8.74124E-4
sdp sdp 8.73094E-4
continue rules 8.72073E-4
sdp approach 8.662730000000001E-4
ing fragments 8.62088E-4
binarized treebank 8.585940000000001E-4
exact sdp 8.56452E-4
sdp figure 8.56274E-4
word sentences 8.48648E-4
training examples 8.34172E-4
wsj test 8.33894E-4
sentence test 8.30525E-4
test sentence 8.30525E-4
pruning thresholds 8.27624E-4
pruning graphs 8.18666E-4
such result 8.086619999999999E-4
average number 7.95827E-4
standard way 7.944860000000001E-4
maximum recall 7.93081E-4
basic sdp 7.893150000000001E-4
coarse pass 7.88006E-4
exact case 7.87354E-4
additional information 7.81304E-4
large amount 7.789019999999999E-4
unpruned sdp 7.75601E-4
fine sdp 7.753230000000001E-4
sdp pass 7.67966E-4
adaptation performance 7.59762E-4
new domain 7.58834E-4
probability 7.58269E-4
ous work 7.55342E-4
development set 7.44286E-4
