similarity similarity 0.0049103
word similarity 0.0048781499999999995
semantic similarity 0.0033345170000000004
similarity measures 0.0031656880000000003
different word 0.0031607859999999996
similar word 0.0030122689999999997
similarity methods 0.002906081
word association 0.0028570009999999996
distributional similarity 0.0028463060000000003
similarity models 0.002843529
candidate word 0.002809743
word pairs 0.0028032889999999996
correct word 0.002797657
tional similarity 0.0027588590000000002
similarity algorithms 0.0027403590000000004
similarity metrics 0.0027338880000000003
similarity metric 0.002732106
word choice 0.002719934
word con 0.0027109409999999997
cosine similarity 0.0026962460000000002
tributional similarity 0.0026913550000000003
word similari 0.00268508
word combina 0.0026847489999999997
butional similarity 0.002682882
word sim 0.002678627
word pair 0.0026607479999999997
computing word 0.002656455
word combinations 0.002653001
word bīru 0.002649228
word simila 0.002649228
conventional word 0.002649228
similarity 0.00245515
english words 0.001752806
many words 0.00168555
ing words 0.001579029
text corpora 0.0014956420000000002
words bill 0.001493594
learner corpus 0.001483434
words suru 0.0014679580000000001
shimbun corpus 0.001354391
raw text 0.001318251
bccwj corpus 0.001309308
balanced corpus 0.0013065009999999998
test set 0.001300083
formed text 0.001283738
other methods 0.001277235
other association 0.001260305
different collocation 0.001260023
words 0.00124101
collocation measures 0.0012327750000000002
other models 0.001214683
different corpora 0.0011981980000000001
combination method 0.001188429
method combination 0.001188429
candidate set 0.00116605
japanese language 0.001148779
association measures 0.001144539
language learner 0.0011416
other types 0.001134189
semantic classes 0.001131006
strength method 0.001119543
based method 0.0011161880000000002
other studies 0.0011080390000000001
semantic connections 0.001105747
language learning 0.001103699
human correction 0.001100035
such phenomena 0.001081698
corpus 0.00107903
confusion set 0.001065779
other particles 0.001062513
first language 0.001061353
other hand 0.001058803
such kind 0.001054387
other distri 0.001054017
work collocation 0.001046908
set selection 0.001043066
candidate phrase 0.001041017
set size 0.001039183
context information 0.001038742
second language 0.001037761
measures combination 0.001017162
different metrics 0.001016524
vector rity 0.001006164
confusing set 0.001005925
fusion set 0.001005925
training data 9.93697E-4
language learners 9.75739E-4
collocation correction 9.74689E-4
similar approach 9.688800000000001E-4
collocation error 9.454210000000001E-4
alternative phrase 9.380510000000001E-4
sociation measures 9.36911E-4
collocation errors 9.264170000000001E-4
shimbun data 9.23047E-4
association measure 9.22942E-4
object relation 9.196569999999999E-4
dependency relation 9.13E-4
collocation score 9.07633E-4
collocation scores 9.00744E-4
similar meaning 8.956249999999999E-4
