parser information 0.002280803
entity parser 0.001987899
tagging parser 0.001984389
baseline parser 0.001983955
parser attempts 0.001911359
monolingual parser 0.001897355
model inclusion 0.00188818
unmodified parser 0.0018778690000000001
parser modifications 0.001873044
different data 0.0018484410000000001
model output 0.001838119
model tagger 0.001779025
entity model 0.001762509
tagging model 0.001758999
baseline model 0.0017585650000000001
markov model 0.001744572
model errors 0.001741019
training data 0.001716461
tity model 0.001660655
different sentence 0.00164882
parser 0.00164178
data set 0.0016203139999999999
same data 0.001605095
new language 0.001590506
language classification 0.001498638
english words 0.001475047
language process 0.001470497
ing data 0.0014638939999999999
other words 0.0014601879999999999
training set 0.0014440009999999999
global language 0.001430781
parsing output 0.001424939
language identification 0.001419398
parsing experiments 0.00141887
model 0.00141639
partial parsing 0.001410873
evaluation data 0.001383328
language infor 0.001376545
natural language 0.00137201
german data 0.001368295
lexical information 0.001345741
word inclusion 0.001344058
data sets 0.00131045
same corpus 0.0012791030000000002
function words 0.001249802
unseen data 0.00123689
french data 0.001232839
same phrase 0.001225444
english function 0.001218711
annotated data 0.001206655
monolingual data 0.001201962
pos tag 0.001198415
english inclusion 0.001193768
parse tree 0.001190928
spanish data 0.001183691
test set 0.0011827259999999998
such sentences 0.00118094
different domains 0.001175758
large training 0.001163595
inclusion set 0.0011457169999999999
foreign words 0.001145446
dependency accuracy 0.0011402830000000002
sentence length 0.0011303
other languages 0.001125126
phrase category 0.001122347
tiger sentence 0.001119744
english inclusions 0.00111966
language 0.00111191
yields word 0.001109715
pos tags 0.001109108
word subset 0.001105059
average sentence 0.0011008650000000001
english lexicon 0.001093956
web corpus 0.001086594
tagger english 0.001084613
other scores 0.001079114
syntactic information 0.001077661
ing dependency 0.001068596
man words 0.001061222
native words 0.0010597039999999999
sentence structure 0.001058829
standard pos 0.001053995
tiger tree 0.001052707
learning method 0.001051845
corresponding training 0.001051773
such inclusions 0.001046028
test sentences 0.0010413929999999998
example sentence 0.00104006
new category 0.001034207
sentence level 0.001030791
annotated training 0.001030342
other lan 0.001025546
english form 0.001023983
perfect pos 0.001023649
unknown words 0.001008851
first method 0.001008436
inclusion classifier 0.001007563
error analysis 0.001005864
same entity 0.001004827
probabilistic grammar 0.001003271
