error analysis 0.005402319
grammar error 0.005248817
error type 0.005003235
error types 0.004963393
formulas error 0.004956863
various error 0.004956258
original error 0.00494467
error patterns 0.004888481
number error 0.004876802
complement error 0.004852
real error 0.004846966
sen error 0.004835091
error distribution 0.0048321020000000004
error simulation 0.004822071
omission error 0.004818711
pluralization error 0.0048135650000000006
realistic error 0.004813506
unrealistic error 0.004811476
trivial error 0.004806684
error simula 0.004805727
error tagset 0.004803733
error sources 0.004802885
lexis error 0.004802202
error characteristics 0.004801321
error limit 0.004799576
error gen 0.004798781
error charac 0.004798064
error 0.00453001
grammar errors 0.002805017
grammatical errors 0.002553011
agreement errors 0.0024835459999999997
simulated errors 0.002407289
real errors 0.002403166
omission errors 0.002374911
realistic errors 0.0023697059999999996
unrealistic errors 0.002367676
nonsense errors 0.0023545999999999997
improbable errors 0.0023545999999999997
errors 0.00208621
language learners 0.001969232
specific language 0.001961649
language learning 0.001945591
first language 0.001919766
language learner 0.0018710480000000002
tion language 0.001851134
second language 0.001840641
language acquisition 0.001809826
assisted language 0.001747918
numerous language 0.001731729
statistical model 0.00153693
language 0.00146272
݅th word 0.00144698
݊݅th word 0.0014020150000000002
݀݅th word 0.0014020150000000002
many words 0.0013996
baseline model 0.001351033
such systems 0.001348364
new method 0.0012577
output sentence 0.00125616
test sentences 0.001244171
statistical grammar 0.0012344069999999999
robust parser 0.001207929
new research 0.001186543
training data 0.001171465
statistical approach 0.00113065
human judges 0.001107286
human eva 0.001094331
such constructs 0.001086905
simulated sentences 0.001071163
few grammar 0.001067925
real sentences 0.00106704
english learners 0.001063859
input sentence 0.0010489030000000001
simulated grammar 0.001039886
similar grammar 0.001036525
grammar rules 0.001032403
complex models 0.001026963
model 0.00102133
cal models 0.0010145829999999999
linguistic differences 0.0010107100000000002
realistic grammar 0.001002303
learner corpus 0.001002004
simulated data 9.9273E-4
merous grammar 9.87262E-4
outputs figure 9.86012E-4
general formulas 9.57737E-4
ing formulas 9.405589999999999E-4
noun form 9.232559999999999E-4
information access 9.16775E-4
overall process 9.16122E-4
tourist information 9.13469E-4
simulated output 9.014050000000001E-4
level groups 8.92952E-4
jle corpus 8.92452E-4
parser 8.89092E-4
type sub 8.7653E-4
analysis 8.72309E-4
noun number 8.70083E-4
lated output 8.697210000000001E-4
logic learning 8.68822E-4
