model pos 0.00332136
model training 0.002683331
state model 0.002570104
simple model 0.0024875160000000004
other sentence 0.002459366
markov model 0.0024141360000000003
accurate model 0.0023834050000000003
model parameters 0.002349498
powerful model 0.002347458
tional model 0.0023349010000000003
sentence processing 0.0023340319999999998
word sequence 0.002193615
sentence process 0.002180961
human sentence 0.002121409
experimental sentence 0.0021070719999999998
model 0.0020779
same word 0.002074384
empirical sentence 0.002017972
control sentence 0.001998329
man sentence 0.001996188
sentence com 0.001980726
ambiguous sentence 0.001973884
sentence share 0.001973238
whole sentence 0.001957056
possible pos 0.001950561
trol sentence 0.001945869
word frequency 0.001926635
frequency word 0.001926635
pos sequence 0.001891355
word string 0.001873078
example sentences 0.001862336
ambiguous word 0.001823524
disambiguating word 0.001815716
statistical pos 0.001814925
word break 0.001807389
word strings 0.001797141
critical word 0.001796124
different pos 0.001773954
same pos 0.001772124
path sentences 0.001767287
control sentences 0.0017660789999999998
pos tagger 0.001763377
ambiguous sentences 0.001741634
ous sentences 0.001731352
biguous sentences 0.001718056
unambiguous sentences 0.0017164889999999999
probabilistic pos 0.0017160460000000002
pos tagging 0.001712393
sentence 0.00169608
pos sequences 0.0015729750000000001
bigram pos 0.0015601950000000001
likely pos 0.001540077
preferred pos 0.001512551
frequent pos 0.001503248
lexical ambiguity 0.001493905
pos sub 0.001492991
unlikely pos 0.001492991
dispreferred pos 0.001492991
sentences 0.00146383
processing data 0.001392689
frequency information 0.001387605
structural information 0.0013777009999999998
disambiguating words 0.001377186
later words 0.001370485
category ambiguity 0.001364222
distinct words 0.0013622180000000001
time data 0.0013564459999999999
probability distribution 0.001327068
possible tag 0.001313221
ambiguity type 0.00129481
same data 0.001283401
average probability 0.001260317
tural information 0.001260252
conditional probability 0.0012446430000000001
attachment ambiguity 0.001237581
tion probability 0.001236742
reading data 0.001220349
ing data 0.001215245
joint probability 0.0012117270000000001
probability comparison 0.001209952
probability decrease 0.0012073750000000001
final probability 0.001204418
probability com 0.001198319
ambiguity resolution 0.001193087
boundary ambiguity 0.001190494
log probability 0.0011903550000000001
probability transition 0.0011776170000000002
complement ambiguity 0.001174991
ambiguity though 0.001169588
true probability 0.00116562
probability compar 0.0011634660000000002
ambiguity katie 0.001162709
tactic ambiguity 0.001133193
words 0.00110719
lexical category 0.001100729
reading time 0.001067321
other account 0.001066459
ing time 0.0010622169999999998
syntactic structure 0.0010484449999999998
other ambi 0.0010473779999999999
