ccg category 0.0030305999999999996
lexical category 0.002899896
ccg parser 0.00272088
category accuracy 0.002618505
ccg categories 0.00242393
candidate category 0.002382514
baseline category 0.002348606
lexical categories 0.0022932259999999998
single category 0.002249035
category list 0.0022454149999999997
category assignments 0.002240185
top category 0.002220125
category assignment 0.002214148
ccg rules 0.0022061
ccg parsing 0.0021905099999999997
fixed category 0.0021897229999999998
random category 0.002185021
relevant category 0.002184363
category selection 0.002183853
category indices 0.0021643599999999997
integer category 0.0021643599999999997
ccg grammar 0.002061098
grammar ccg 0.002061098
category 0.00190286
collins parser 0.001868272
probabilistic parser 0.001861191
grammatical categories 0.001812101
parsing accuracy 0.001778415
ccg derivations 0.001637931
possible categories 0.001637355
ccg derivation 0.001596311
grammatical rules 0.001594271
parser 0.00159314
composition rules 0.001580099
vidual categories 0.001573117
known categories 0.001569601
categorial grammar 0.001559433
phrasal categories 0.0015582550000000001
statistical parsing 0.001530241
example ccg 0.0015292729999999998
learning model 0.0015274960000000001
ccg cat 0.0014964219999999999
single ccg 0.001473915
ccg induction 0.001464953
correct ccg 0.001463741
the ccg 0.0014506249999999999
composition rule 0.001429697
lexical coverage 0.001415071
lexical item 0.001411957
pure ccg 0.0013885459999999998
corpus sentences 0.001374682
parsing systems 0.001373399
matical rules 0.001369274
small corpus 0.001364381
syntax rules 0.001360247
grammar development 0.00132636
parsing technology 0.001324728
symbolic parsing 0.001324728
other language 0.001316391
categories 0.00129619
lexical accu 0.001285711
lexical items 0.0012826159999999999
grammar induction 0.001270571
lexical gaps 0.001258354
grammar systems 0.001243987
supervised grammar 0.0012132900000000001
learning algorithm 0.001209104
system accuracy 0.001206386
rial grammar 0.001201374
small set 0.001199468
openccg grammar 0.001195787
noun phrase 0.0011813969999999998
dependency structures 0.0011510090000000001
generative model 0.0011466690000000001
unannotated corpus 0.001143952
accuracy fitness 0.001115333
corpus examples 0.0010995269999999999
final accuracy 0.001094834
phrase structure 0.0010789929999999999
rules 0.00107836
data structures 0.001063238
parsing 0.00106277
word order 0.001052118
categorial grammars 0.001050219
training material 0.0010473799999999999
parse trees 0.001043094
unannotated training 0.001034961
categorial lexicon 0.0010338790000000001
assignment accuracy 0.001026933
metric accuracy 0.001019447
realistic language 0.001015358
combinatory categorial 0.001012917
language learner 0.001010118
annotated training 0.001007975
generations accuracy 0.001006863
accuracy count 0.001000483
language agents 9.887049999999999E-4
such assignments 9.70386E-4
deep dependencies 9.68856E-4
limited set 9.61281E-4
