chinese character 0.00346634
chinese word 0.00334522
chinese characters 0.00333543
learning chinese 0.002791376
chinese words 0.0027104159999999998
chinese gpc 0.0024707979999999997
chinese naming 0.002434646
chinese pcs 0.002393423
chinese articles 0.0023795929999999997
chinese charac 0.00236578
chinese char 0.002357933
semantic characters 0.002068625
chinese 0.00206224
incorrect character 0.00190718
character recognition 0.001792871
basic characters 0.001787805
new characters 0.001776463
character structures 0.0017474399999999998
correct characters 0.001720657
standalone character 0.001681117
character recommendation 0.001676272
given character 0.001675156
semantic information 0.00166956
nese characters 0.001603566
qualified characters 0.001566327
ommend characters 0.001550439
standalone characters 0.001550207
distracter characters 0.001541996
repeated characters 0.001541996
current system 0.001538493
open system 0.001513448
authoring system 0.0014872940000000001
system demonstration 0.00146903
dialogue system 0.001407643
character 0.0014041
system meihua 0.001388132
chat system 0.001374713
summarization system 0.001372261
system demonstrations 0.001370883
assistant system 0.001363202
netic system 0.001359517
space model 0.001294707
characters 0.00127319
semantic components 0.001234655
information lower 0.001212637
different object 0.001211747
sentiment analysis 0.001202543
evaluation results 0.00119572
jhuyin information 0.001191295
information extraction 0.0011902079999999999
different languages 0.0011886779999999999
machine translation 0.001187666
different pcs 0.001182755
english translation 0.0011748280000000002
different combinations 0.001155012
sublexical information 0.0011489
feedback information 0.0011489
information need 0.0011489
same way 0.001142269
different ways 0.001141258
learning games 0.001139408
learning game 0.001137473
different radicals 0.001127729
different settings 0.001126674
different pronuncia 0.001125691
different areas 0.001123036
different speeds 0.001123036
analysis table 0.001119357
semantic informa 0.00111449
model rafael 0.001111052
twitter sentiment 0.001097518
system 0.00108906
semantic com 0.001085557
statistical learning 0.001080163
semantic radical 0.0010778510000000001
ilan university 0.001072578
chengchi university 0.001065407
tsinghua university 0.001056706
xiamen university 0.001056706
learning chi 0.001054466
kyoto university 0.00104926
suzhou university 0.00104926
jadavpur university 0.00104926
trento university 0.00104926
monash university 0.00104926
heilongjiang university 0.00104926
city university 0.00104926
lexical knowledge 0.001046361
vector space 0.001033272
learning effects 0.001006638
learning profiles 0.0010018050000000001
ngram corpus 9.99561E-4
group class 9.9917E-4
translation andrejs 9.98528E-4
other acl 9.97756E-4
translation tong 9.97345E-4
corpus yuri 9.93196E-4
assisted translation 9.92663E-4
translation xianchao 9.797949999999999E-4
effectiveness table 9.75591E-4
