syntactic model 0.004304487
simple model 0.0041715699999999994
model parameters 0.004152084
processing model 0.004128602
probabilistic model 0.004126032
model noun 0.004085978
markov model 0.004025521
model discourse 0.004010041
present model 0.004002768
computational model 0.004001464
hmm model 0.003985217
model comparison 0.003965509
model aic 0.003964212999999999
gram model 0.003945787
overall model 0.003943528
surprisal model 0.003941994
interactive model 0.003932052
model fit 0.003923217
regression model 0.003919502
this model 0.003916892999999999
model this 0.003916892999999999
model sim 0.003914792
psycholinguistic model 0.00390365
baseline model 0.003903617
full model 0.0038981579999999997
reasonable model 0.003886874
fects model 0.003867886
model 0.00362659
other word 0.002891998
word features 0.002697939
current word 0.002553744
word length 0.002515327
clear word 0.002457308
word freq 0.002455654
ith word 0.002451825
long word 0.002435897
unseen word 0.002426797
unknown word 0.002425251
word frequency 0.002419199
language models 0.001694074
other models 0.001521002
syntactic information 0.001475659
sentence processing 0.001413078
previous words 0.001390131
human sentence 0.0013359679999999999
last words 0.001334794
probability distribution 0.0013257630000000002
corpus reading 0.001322176
data set 0.0013193340000000001
human language 0.001317842
training data 0.001314797
time data 0.001302452
current sentence 0.00129268
individual words 0.001253844
standard data 0.0012450130000000001
reading data 0.001236622
discourse information 0.001181213
syntactic processing 0.001179909
computational models 0.001176008
sentence processor 0.001168503
bayesian information 0.001167922
man sentence 0.001154615
congruous sentence 0.001152826
sentence fragment 0.001152826
dundee corpus 0.0011502510000000001
experimental data 0.001138177
language understanding 0.001134061
corpus simulations 0.001121015
syntactic analysis 0.001112022
possible state 0.0011060470000000002
same time 0.001075135
referential information 0.001072781
data sets 0.001068979
tracking data 0.001064444
mary information 0.001041342
aikake information 0.001041342
information criterion 0.001041342
information cri 0.001041342
other constraints 0.001041026
data our 0.001039766
data sparsity 0.001034388
ditional probability 0.001029699
same result 0.001003041
syntactic component 9.91854E-4
syntactic mod 9.80133E-4
classification probabilities 9.77494E-4
other hand 9.755180000000001E-4
lexical probabilities 9.75395E-4
syntactic structure 9.72441E-4
syntactic ambiguities 9.680240000000001E-4
syntactic garden 9.59767E-4
syntactic prediction 9.54599E-4
syntactic category 9.5286E-4
time reading 9.527419999999999E-4
reading time 9.527419999999999E-4
previous results 9.428990000000001E-4
different measures 9.393349999999999E-4
words 9.37145E-4
noun phrase 9.36626E-4
ing probabilities 9.335649999999999E-4
