crf model 0.002353419
model combination 0.002142659
trigram model 0.002065342
graphical model 0.002056445
channel model 0.002025523
language translation 0.0018151309999999998
model 0.0017863
source language 0.0017425879999999998
source word 0.0017392879999999999
target language 0.0016329959999999998
word pairs 0.001530156
following features 0.001467435
combination features 0.001438609
training data 0.001410684
input word 0.001406567
unit features 0.0014040340000000002
source words 0.001398304
language chunk 0.001369683
crf training 0.00136889
original language 0.0013465069999999998
language phoneme 0.0013439819999999999
language processing 0.001330324
tiple language 0.0013287989999999999
syllabary language 0.0013287989999999999
feature function 0.0012029839999999998
first crf 0.0011496610000000002
training time 0.0011340439999999999
source languages 0.001107121
decoding algorithm 0.001099152
language 0.00109787
features 0.00108225
joint source 0.001069379
programming algorithm 0.001066895
crf method 0.0010617780000000002
previous method 0.0010489980000000002
foreign words 0.0010457700000000001
transliteration method 0.001040897
training complexity 0.001038342
criminative training 0.001037001
conditional probability 0.001032327
second crf 0.001028938
crf decoding 0.001024076
other hand 0.00101849
transliteration research 0.001016475
first step 0.001012384
paths algorithm 0.00100032
different context 9.93887E-4
transliteration task 9.90999E-4
source name 9.893559999999998E-4
eign words 9.86142E-4
joint probability 9.54885E-4
decoding method 9.516160000000001E-4
label set 9.511280000000001E-4
crf segmentation 9.482170000000001E-4
parallel data 9.42826E-4
joint search 9.36859E-4
machine transliteration 9.34806E-4
fast algorithm 9.23257E-4
viterbi algorithm 9.02677E-4
development data 8.96286E-4
data development 8.96286E-4
second step 8.91661E-4
conditional probabilities 8.90051E-4
experimental results 8.88391E-4
source channel 8.83941E-4
joint decoding 8.81618E-4
name target 8.79764E-4
target name 8.79764E-4
source langauge 8.774389999999999E-4
dynamic programming 8.76136E-4
crf tagging 8.74725E-4
target names 8.68781E-4
optimization method 8.58171E-4
combination method 8.51018E-4
transliteration examples 8.43206E-4
crf segmenter 8.41807E-4
channel models 8.41287E-4
crf con 8.359120000000001E-4
crf steps 8.34381E-4
low transliteration 8.2911E-4
transliteration shared 8.25235E-4
new method 8.24486E-4
crf conversion 8.1442E-4
linear combination 8.13165E-4
segmentation step 8.1094E-4
crf converter 8.088290000000001E-4
parallel corpus 8.07728E-4
training 8.01771E-4
crf introduction 8.00809E-4
possible candidates 8.00359E-4
crf segments 7.98125E-4
crf seg 7.98125E-4
standard evaluation 7.92796E-4
label sequence 7.92755E-4
probability difference 7.90907E-4
decoding time 7.8923E-4
corpus size 7.89158E-4
previous subsection 7.886050000000001E-4
joint optimization 7.881730000000001E-4
intuitive transliteration 7.78185E-4
