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word translation 0.00796446
language word 0.0068600300000000005
english word 0.00668553
word english 0.00668553
target word 0.006409596
source word 0.006374127
other word 0.006355233
different word 0.006354586000000001
word position 0.006202512
statistical word 0.006149637
context word 0.006105074
word similarity 0.006069939
chinese word 0.0060129070000000005
count word 0.006009885
word align 0.0059853810000000006
word number 0.005975814
form word 0.005953788
head word 0.005948232
japanese word 0.005944869
local word 0.005928954
good word 0.005928453
word classes 0.005922152
word aligners 0.00591389
nese word 0.0059119360000000004
word posi 0.005911106
word simi 0.005910474000000001
alignment model 0.00482006
english alignment 0.0038752500000000002
alignment models 0.003507351
alignment set 0.003488928
alignment approach 0.003483417
english translation 0.00347111
alignment results 0.003436097
alignment error 0.00332921
translation probability 0.003251033
alignment problem 0.003222499
alignment links 0.003201602
alignment link 0.00317445
reference alignment 0.003173235
alignment rules 0.003156626
japanese alignment 0.003134589
alignment methods 0.0031329170000000003
model training 0.0031105200000000003
position translation 0.002988092
translation dictionary 0.002923175
translation lexicon 0.0028952369999999997
distortion model 0.0028263949999999998
machine translation 0.0028152869999999997
basic translation 0.002793945
translation probabilities 0.002786785
translation system 0.0027811539999999997
alignment 0.00277916
english words 0.00277867
translation prob 0.002754969
translation accuracy 0.0027026899999999998
chine translation 0.002698879
english sentence 0.00255703
hmm model 0.002550531
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target words 0.002502736
ibm model 0.002477409
source words 0.002467267
bilingual sentence 0.0024577460000000002
other words 0.0024483729999999998
above model 0.002447406
original model 0.002427157
ment model 0.0024076790000000002
model fur 0.002387544
interpolated model 0.002380609
translation 0.00237502
english language 0.0023666800000000003
lated model 0.002360938
nal model 0.002359839
terpolation model 0.002359839
target sentence 0.002281096
source sentence 0.002245627
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training data 0.0021518
english corpus 0.00210184
bilingual data 0.002078986
sentence pair 0.002062001
head words 0.002041372
model 0.0020409
other language 0.002036383
sentence pairs 0.0020327130000000002
ambiguous words 0.002011386
bilingual corpus 0.002002556
lish words 0.002002073
sentence length 0.001973015
chinese sentence 0.001884407
language pair 0.001871651
language pairs 0.001842363
japanese sentence 0.001816369
similar language 0.0017258870000000002
relative english 0.001720057
english position 0.0017091620000000002
words 0.00168258
distortion probability 0.001661508
pivot language 0.001611903
