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transliteration name 0.0040944
chinese transliteration 0.00360702
transliteration model 0.00354612
name translation 0.00325635
transliteration character 0.003082038
transliteration method 0.003017074
transliteration pairs 0.0029930770000000002
transliteration probability 0.0029900070000000003
machine transliteration 0.002982835
transliteration prefix 0.002959994
new transliteration 0.002945563
transliteration candidate 0.002930752
morphological transliteration 0.00281251
transliteration models 0.002790537
transliteration probabilities 0.002769293
transliteration functions 0.002750978
transliteration morphemes 0.002745104
distinct transliteration 0.002738404
transliteration postfix 0.002729266
postfix transliteration 0.002729266
hybrid transliteration 0.00271971
transliteration study 0.002716507
transliteration prob 0.002711727
part transliteration 0.002706915
likely transliteration 0.002700321
back transliteration 0.002700012
legitimate transliteration 0.002698751
transliteration mor 0.002698682
transliteration proc 0.002696858
name data 0.0026700400000000003
translation system 0.0024855529999999997
transliteration 0.00245714
language name 0.0023900650000000002
machine translation 0.0021447849999999997
name prefix 0.002140114
name search 0.002135579
name list 0.002121514
bilingual name 0.002102063
correct translation 0.002056864
phrase translation 0.002051438
translation performance 0.002032249
entity translation 0.0020225819999999998
translation systems 0.002010473
proper name 0.0019783179999999997
poor translation 0.001971119
place name 0.001929243
translation online 0.001903438
translation quality 0.001881858
translation services 0.0018781779999999999
gual name 0.001877401
terminology translation 0.0018709789999999998
part translation 0.001868865
translation subtasks 0.0018624039999999998
translation ser 0.001859333
training data 0.0017922530000000002
chinese transliterations 0.001766631
translation 0.00161909
web data 0.0015730940000000001
english text 0.001543602
test data 0.001527807
chinese text 0.001518182
data set 0.001487648
statistical model 0.001460856
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chinese counterpart 0.001402369
such person 0.001360318
new system 0.001354886
proper names 0.001345748
organization names 0.0013382539999999999
language information 0.0013373730000000002
multilayer model 0.001329108
sample data 0.001313422
place names 0.001296673
data sparseness 0.001283445
people names 0.00124509
target language 0.0012440620000000002
training set 0.0012143409999999999
english 0.0011753
system termmine 0.001171752
termmine system 0.001171752
such dictionaries 0.001164628
chinese 0.00114988
same prefix 0.0011352229999999999
language text 0.001121107
candidate transliterations 0.001090363
model 0.00108898
method evaluation 0.001060914
novel approach 0.001051894
new method 0.001048357
training stage 0.001041966
prefix pairs 0.0010387909999999998
prefix probability 0.0010357209999999999
human translators 0.001029067
different prefix 0.0010248129999999999
same class 0.001016329
expansion approach 0.0010160570000000001
training collection 0.001008909
cross language 0.0010050130000000001
names 0.00100469
