language model 0.00248515
training sentences 0.002171974
model english 0.002062256
correct sentences 0.002011163
error sentence 0.001967865
erroneous sentences 0.001963505
test sentences 0.001946524
parallel sentences 0.0019391270000000001
native sentences 0.001938232
wrong sentences 0.0018983350000000001
training sentence 0.0018853939999999999
language models 0.001870692
bilingual sentences 0.001850269
roneous sentences 0.00184859
rect sentences 0.0018439630000000001
gual sentences 0.001841365
neous sentences 0.001839355
coherent sentences 0.001838445
tify sentences 0.001838445
comparative sentences 0.001838445
learning model 0.001830641
different errors 0.0017415360000000001
classification model 0.001687783
erroneous sentence 0.001676925
sentence structure 0.001666122
grammar errors 0.0016532460000000001
sentences 0.00161239
other features 0.0016097440000000002
second language 0.001604754
function words 0.001579893
sentence structures 0.00157746
sentence struc 0.001555982
undesirable sentence 0.001551794
other feature 0.001549072
language modeling 0.001517952
function word 0.001485689
trigram language 0.00145949
gram language 0.001446012
time words 0.0014277229999999999
grammatical errors 0.001385138
first feature 0.001369296
various features 0.001360923
spelling errors 0.001355888
other methods 0.001342396
training data 0.0013352020000000002
time word 0.001333519
sentence 0.00132581
statistical features 0.0013198630000000001
specific errors 0.001316684
content words 0.001305089
ing feature 0.001296786
vocabulary words 0.001295088
choice errors 0.001292196
confusion words 0.001283666
english corpus 0.0012816569999999998
model 0.00127535
word list 0.001255752
other work 0.001244742
key word 0.001228177
input features 0.0012224710000000001
linguistic features 0.001218093
learning models 0.001216183
lsp features 0.0012114740000000001
language 0.0012098
collocation errors 0.001208376
checking errors 0.001205538
word density 0.001201368
translation system 0.001199119
detailed errors 0.00119384
individual features 0.001173216
general english 0.001161807
lsp feature 0.001150802
representative features 0.001137664
complementary features 0.001135011
features plm 0.0011327330000000001
binary feature 0.001116278
last feature 0.00111314
ing models 0.001112189
test data 0.001109752
english learners 0.00109806
ing methods 0.00109011
english essay 0.001081931
different sets 0.001078869
statistical models 0.001074594
classification models 0.001073325
ond feature 0.001072208
previous methods 0.001063872
words 0.00105657
training corpus 0.001054335
statistical methods 0.001052515
different domains 0.001051464
different mistakes 0.001043852
different pronoun 0.0010386360000000001
other fea 0.001019722
tic information 0.001017542
hiroshima english 0.001014603
syntactic score 0.00100533
tag information 0.001004099
dent data 0.001001801
unsupervised method 9.982390000000002E-4
