word corpus 0.00493567
target word 0.004346384
possible word 0.004291502
word accuracy 0.004287084
source word 0.004160021
first word 0.004076115
word pairs 0.004034462
absolute word 0.003974753
ing word 0.003960607
word pronunciation 0.0039495350000000005
word gen 0.003892219
word accuracies 0.0038917400000000003
other words 0.001941627
english words 0.001920189
target words 0.001917504
transliteration rules 0.0018921149999999998
same corpus 0.00188396
different transliteration 0.0018090149999999998
similar corpus 0.0017696370000000001
test corpus 0.001753039
source words 0.001731141
many rules 0.001650369
corpus con 0.001627903
term corpus 0.0016054609999999999
transliteration system 0.001568472
english language 0.001567322
target language 0.001564637
glish corpus 0.001556324
corpus composition 0.001548673
entire corpus 0.001547216
whole corpus 0.001545771
gle corpus 0.0015429649999999999
tire corpus 0.001541804
tion rules 0.001514605
different transliterators 0.001491844
language knowledge 0.0014816859999999999
system accuracy 0.001475731
different corpora 0.0014709489999999998
words gen 0.0014633390000000001
different persian 0.001447192
other english 0.001435076
rules char 0.0014283569999999999
char rules 0.0014283569999999999
internal rules 0.0014241459999999998
own rules 0.0014229579999999998
different combinations 0.0014121339999999998
applied rules 0.001404507
rules inconsis 0.001404507
different values 0.0014022099999999999
transliteration accuracy 0.001382409
source language 0.001378274
different transliterations 0.0013723079999999998
training data 0.001357905
possible target 0.001353386
system performance 0.001347941
different translit 0.0013429839999999998
system evaluation 0.001342939
machine translation 0.001334983
rule probability 0.001328
different origins 0.0013231889999999998
different expectations 0.001321675
arabic other 0.00131654
same target 0.001294674
corpus 0.00129342
human evaluation 0.001289516
several transliteration 0.0012769650000000001
rule entropy 0.001276878
translation application 0.0012711699999999999
first system 0.001264762
transliteration systems 0.0012630739999999999
transliteration evaluation 0.001249617
words 0.00121337
such corpora 0.001206973
human transliterators 0.0011978779999999999
translation exper 0.001190395
human agreement 0.001187402
second language 0.0011799879999999999
rule probabilities 0.001170811
certain rule 0.0011665339999999999
language pair 0.0011628139999999999
rules 0.00115454
human transliterator 0.001150694
second system 0.0011503820000000001
difficult language 0.001137314
transliteration methods 0.00113431
machine transliteration 0.001131759
other corpora 0.0011277659999999999
single target 0.001127104
origin language 0.001117619
persian transliteration 0.001113327
language fam 0.001110084
automated system 0.001103861
other languages 0.001098878
character accuracy 0.0010940960000000001
data set 0.0010875
rule distribu 0.001083627
rule base 0.001082834
system ranking 0.001082409
ranking system 0.001082409
transliterator english 0.001080039
