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chinese transliteration 0.0048996
transliteration alignment 0.00475914
english transliteration 0.0045128699999999996
transliteration model 0.00427301
language transliteration 0.00423143
name transliteration 0.00410518
transliteration error 0.0038412299999999997
transliteration results 0.0037756409999999997
transliteration probability 0.003742649
transliteration pairs 0.003723681
transliteration pair 0.0037152829999999998
target transliteration 0.003714086
machine transliteration 0.003611845
transliteration process 0.00360963
unique transliteration 0.003606349
transliteration accuracy 0.003605708
transliteration rules 0.003591834
list transliteration 0.0035575959999999997
transliteration systems 0.003549127
transliteration table 0.003536761
transliteration patterns 0.003515266
transliteration problems 0.0034795349999999997
transliteration units 0.003467278
transliteration decoding 0.0034457999999999997
transliteration unit 0.003440922
transliteration history 0.003432415
potential transliteration 0.0034209929999999998
total transliteration 0.0034171509999999998
current transliteration 0.003408317
transliteration formulation 0.003386827
transliteration tasks 0.003383733
transliteration guidelines 0.00338171
transliteration nyyy 0.00338171
transliteration 0.00309825
chinese name 0.00280828
chinese names 0.002660166
chinese transliterations 0.00243341
english name 0.0024215499999999997
chinese character 0.002349214
alignment results 0.0023382809999999998
same alignment 0.002301913
chinese pinyin 0.002299546
alignment pairs 0.002286321
corpus alignment 0.00228258
english names 0.0022734359999999998
chinese characters 0.00225969
alignment process 0.00217227
chinese units 0.0021703779999999997
orthographic alignment 0.002156997
alignment segmentation 0.002156047
chinese unit 0.0021440219999999998
chinese correspondences 0.002135546
chinese bigram 0.002116373
chinese orthography 0.002087321
chinese press 0.002085417
chinese contexts 0.002085417
new alignment 0.002074525
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alignment decision 0.002022543
final alignment 0.002008912
model training 0.002008098
alignment changes 0.001949293
alignment variation 0.0019449299999999999
alignment tokenization 0.0019449299999999999
other language 0.0019282799999999999
unique english 0.0019227189999999998
new english 0.001828255
probability model 0.0018191589999999999
chinese 0.00180135
word error 0.0018006300000000001
english entries 0.001797384
previous english 0.0017968729999999998
such name 0.001791423
english phonemes 0.001787438
english units 0.0017836479999999999
language pairs 0.0017586109999999998
english unit 0.001757292
name data 0.001753049
language pair 0.001750213
target language 0.001749016
source language 0.001685307
name translation 0.001669013
alignment 0.00166089
language modeling 0.001642525
language models 0.001613549
statistical language 0.001598212
training data 0.0015794569999999998
data set 0.00157822
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channel model 0.001525495
alphabet language 0.001513585
monolingual language 0.001498375
markov model 0.001479214
target names 0.001474652
learning set 0.001474272
gram model 0.001470041
model coupling 0.0014683259999999998
language perplexity 0.001461019
learning algorithm 0.001440502
