phrase rules 0.002985377
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corpus rule 0.00289624
repair rules 0.002685145
problematic rules 0.002632917
multiple rules 0.0026182519999999997
bad rules 0.002607114
unhelpful rules 0.002577192
first rule 0.002358481
rules 0.00232374
rule set 0.002316794
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matching rule 0.002100654
current rule 0.002062707
tial rule 0.002014287
rule sets 0.00199892
rule application 0.001981413
improved rule 0.0019606520000000002
priate rule 0.001955406
training corpus 0.001856615
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test corpus 0.001812321
different corpus 0.0017408850000000002
pruning corpus 0.001702193
corpus pruning 0.001702193
phrase grammar 0.001641053
improvement corpus 0.001575676
corpus improvement 0.001575676
nnp nnp 0.001543036
human corpus 0.001541181
training data 0.001504198
empire corpus 0.001482696
marcus corpus 0.001452031
wsj corpus 0.001451421
corpus improved 0.001441732
brown corpus 0.001437819
corpus attempts 0.001437169
notated corpus 0.001436058
noun phrase 0.001406306
other noun 0.0013844349999999998
initial grammar 0.001377673
base noun 0.001361976
base nps 0.001356037
many nps 0.0013259220000000002
constraint grammar 0.001281388
first base 0.0012682079999999998
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grammar induction 0.0012521280000000001
new algorithm 0.001248568
probabilistic model 0.00122272
corpus 0.00118866
noun phrases 0.001180501
new text 0.001169008
syntactic structure 0.001166482
such methods 0.001161284
length noun 0.001154845
such heuristics 0.001150473
initial noun 0.001142926
new method 0.0011361370000000002
pruning algorithm 0.0011219720000000002
nps boca 0.001104306
data struc 0.001101891
model automati 0.001093457
appropriate data 0.001090685
data sparseness 0.001084126
other tags 0.001071275
simple base 0.001070071
simple algorithm 0.001061203
initial results 0.00106119
final results 0.0010598489999999999
first heuristic 0.001059495
good results 0.00104938
treebank approach 0.001040094
complex nps 0.001035874
phrase grammars 0.001033457
adverbial noun 0.00103145
same reference 0.00103003
pruning pruning 0.001027066
training time 0.00101887
such errors 0.0010159980000000002
initial base 0.001015564
machine learning 0.001014626
new corpora 0.001009143
consecutive nps 0.0010022170000000001
overall results 9.99903E-4
core noun 9.95107E-4
terminological noun 9.94097E-4
cursive noun 9.92078E-4
temporal nps 9.86215E-4
lexical information 9.8595E-4
grammar 9.79416E-4
training phase 9.76385E-4
phase training 9.76385E-4
pruning methods 9.717700000000001E-4
pruning heuristics 9.60959E-4
such extensions 9.584880000000001E-4
text table 9.48703E-4
available training 9.46007E-4
large test 9.41619E-4
