transliteration model 0.00518657
transliteration translation 0.00430714
english transliteration 0.00427197
language transliteration 0.00418018
transliteration probability 0.0038269109999999997
target transliteration 0.003767975
transliteration models 0.003719114
transliteration process 0.003695398
transliteration system 0.003684497
japanese transliteration 0.003645673
transliteration problem 0.003611353
transliteration systems 0.003575956
transliteration pairs 0.003568074
machine transliteration 0.003548116
transliteration pair 0.003509257
transliteration method 0.003502887
following transliteration 0.003472147
arabic transliteration 0.003446615
transliteration unit 0.003424884
bengali transliteration 0.003418865
transliteration units 0.003409999
translation model 0.00339173
single transliteration 0.003387725
transliteration precision 0.003348211
incorrect transliteration 0.003331044
transliteration algorithms 0.003329386
back transliteration 0.00331818
alligned transliteration 0.003317731
transliteration scenario 0.003315891
transliteration 0.00305099
probability model 0.0029115010000000004
statistical model 0.0025374050000000004
channel model 0.002468313
model error 0.002466742
probabilistic model 0.0024505100000000004
trigram model 0.0024246320000000003
bigram model 0.0024197510000000004
individual model 0.002414275
model war 0.0024117120000000003
monogram model 0.002401691
english words 0.00239131
english word 0.002213798
english name 0.002209644
model 0.00213558
english names 0.002061353
other words 0.001890893
translation system 0.0018896569999999999
english character 0.0018668629999999999
target language 0.0018461749999999998
language target 0.0018461749999999998
source language 0.001803945
language models 0.001797314
machine translation 0.0017532759999999998
english transliterations 0.0017415109999999998
english candidate 0.001712087
english letter 0.001710024
english vowel 0.001669844
alignment process 0.001667178
training corpus 0.001656828
possible english 0.0016466179999999999
bilingual training 0.001645979
such training 0.0016118390000000001
training set 0.0015997070000000001
translation patterns 0.001596747
equivalent english 0.001595764
english representation 0.0015952969999999999
corresponding english 0.001592828
multiple english 0.00157701
target names 0.001557358
english conversion 0.001555101
english side 0.001553797
good english 0.001553587
english representations 0.001553177
simple translation 0.001550197
foreign words 0.001544828
english tus 0.001541461
bengali words 0.001538205
translation tasks 0.00153308
likely english 0.001529117
literal translation 0.001522058
source names 0.0015151280000000001
name pairs 0.001505748
error words 0.001501492
english counterparts 0.001491611
english pronunciations 0.001490249
english spellings 0.00148993
respective english 0.0014861779999999999
oov words 0.001460321
vocabulary words 0.001454151
name pair 0.001446931
probability models 0.001444045
natural language 0.0014408239999999998
large name 0.001419862
language processing 0.0014100129999999999
language alphabets 0.00140753
gram language 0.001397429
training phase 0.0013873260000000001
training examples 0.001383588
training procedure 0.0013667330000000002
original word 0.001364742
