compression rules 0.002581617
such rules 0.0024542
grammar rule 0.0024359
stsg rules 0.0022050349999999997
simple rules 0.0021998829999999997
example rules 0.0021991289999999998
possible rules 0.002191638
synchronous rules 0.002150664
tsg rules 0.002146097
probability tree 0.0020654799999999997
insertion rules 0.002063133
copy rules 0.002040846
extract rules 0.002037537
paraphrasal rules 0.002036651
target tree 0.001908801
source tree 0.001821773
tree pairs 0.001814838
rules 0.00180479
elementary tree 0.001767685
tree expansion 0.001720503
tree constraints 0.001715989
tree map 0.0016986149999999999
tree pair 0.001659781
compression sentence 0.001645227
sentence compression 0.001645227
tary tree 0.001632671
tree mappings 0.001629668
ementary tree 0.001628439
phic tree 0.001628439
rived tree 0.001628439
rule extraction 0.001625908
rule weight 0.001617155
deletion rule 0.001586204
appropriate rule 0.0015764009999999998
rule weights 0.00156864
rule case 0.001549212
insertion rule 0.001542353
stsg model 0.001540715
own rule 0.001533465
plex rule 0.0015189099999999998
rule counts 0.001518459
informative rule 0.0015164249999999998
grammar extraction 0.001493788
gold grammar 0.001467591
training data 0.001465349
optimal grammar 0.001456906
generative model 0.001450883
single model 0.001442295
grammar estimation 0.001437493
reasonable grammar 0.001431241
finite grammar 0.001425873
finite model 0.001414453
average grammar 0.001413187
precomputed grammar 0.001400852
fixed grammar 0.0013999490000000002
grammar sizes 0.0013840760000000001
collapsed model 0.001372524
compression corpus 0.001343394
training corpus 0.001311979
sentence pairs 0.001286408
example sentence 0.001262739
data set 0.001248041
language models 0.0012334709999999999
syntactic analyses 0.001224958
root compression 0.0011951169999999999
parallel training 0.0011744519999999999
data generation 0.001172345
probability derivation 0.0011629700000000001
sentence compres 0.00115647
grammar 0.00115189
compression rate 0.00115161
such models 0.001141174
model 0.00114047
tive sentence 0.001136539
extractive sentence 0.001131671
sentence pair 0.001131351
original sentence 0.0011283299999999999
training error 0.00111425
sentence bnc 0.001102807
pervised sentence 0.001102685
abstractive sentence 0.00110137
svm training 0.001094837
probability root 0.00108694
compression pat 0.001081153
discriminative training 0.001072533
training examples 0.001070057
different target 0.001055738
target node 0.0010459459999999999
high probability 0.001044229
test set 0.001043791
training algorithms 0.001040173
extractive compression 0.001040098
maximum probability 0.001036737
tence compression 0.001034435
other methods 0.001011638
bayes training 0.001011137
target analysis 0.0010069229999999998
same set 9.933860000000002E-4
word alignment 9.833770000000001E-4
same target 9.77253E-4
