ccg parser 0.0031379399999999997
parser output 0.002598787
parser scores 0.0022934319999999998
rasp parser 0.002174883
pos tag 0.002099425
ccg dependencies 0.002021736
lexical category 0.0019618079999999998
parser 0.00188282
parsing models 0.0018735330000000001
pos tagger 0.001792306
category level 0.001736681
ccg derivations 0.001715214
pos tags 0.0017137939999999998
several ccg 0.001704616
ccg derivation 0.001684243
ccg version 0.001628566
model parameters 0.00162049
ccg supertag 0.001610418
model theory 0.001580637
model builders 0.001560987
cal category 0.001559602
lexical categories 0.0015559950000000001
ccg dependen 0.001550959
dependencies output 0.001482583
word accuracy 0.001459513
other output 0.00139841
entropy tag 0.0013567240000000001
similar training 0.0013507089999999999
local dependencies 0.001349119
feature set 0.001342467
data structures 0.001327921
standard set 0.001300306
argument dependencies 0.001290846
task data 0.001281261
model 0.00126844
category 0.00124055
dependency output 0.001239641
different input 0.001236604
annotated data 0.001235632
ccgbank data 0.001231611
syntactic structure 0.001222853
high accuracy 0.001219009
tag pair 0.001210039
same algorithm 0.0012073000000000001
semantic representation 0.001203312
perceptron training 0.001194273
semantic formalisms 0.001181662
parsing 0.00117409
recursive data 0.001172306
muc data 0.001167422
training times 0.001159518
output format 0.001157934
semantic representations 0.0011495189999999999
various output 0.001148385
semantic theory 0.001147602
training code 0.001145383
derivation output 0.00114509
bfgs training 0.001143662
practical training 0.001143662
ceptron training 0.001143662
ical categories 0.001131949
same entity 0.0011282900000000001
accuracy scores 0.001123355
grammatical relations 0.001109615
relations performance 0.001103698
lexical cate 0.001083014
grammar development 0.001080315
categorial grammar 0.001078683
treebank parsers 0.001073302
combinatory rules 0.001066839
entropy supertagger 0.001061506
ple sentence 0.001056585
statistical tagging 0.001054419
perceptron models 0.001042295
output formats 0.001019845
comparable accuracy 0.001019429
entropy tagging 0.001012595
fault output 0.001010245
ferent output 0.001009688
tions output 0.001008723
output options 0.001008723
other taggers 9.84394E-4
standard translation 9.81448E-4
tagging process 9.79653E-4
other fields 9.764470000000001E-4
dard set 9.76043E-4
low ambiguity 9.67788E-4
many tags 9.659110000000001E-4
standard theory 9.312579999999999E-4
local file 9.238089999999999E-4
whole sentences 9.21098E-4
binary relations 9.205019999999999E-4
small number 9.16953E-4
rect object 9.168590000000001E-4
large coverage 9.137759999999999E-4
standard hardware 9.11162E-4
nlp system 9.09286E-4
maximum entropy 9.08401E-4
new drss 9.04424E-4
grammatical rela 8.976850000000001E-4
