word alignment 0.00739307
word translation 0.00665398
word probability 0.005742262
target word 0.005585727
bilingual word 0.005550993000000001
many word 0.005364456
word pairs 0.0053488500000000005
same word 0.005338461
source word 0.00532105
word align 0.005295515000000001
word form 0.005256726
word figure 0.005227641
ing word 0.005180641000000001
word sense 0.0051446040000000005
ative word 0.005095921
gual word 0.0050928100000000006
word meaning 0.005086849
manual word 0.00508462
word cor 0.005083051
accurate word 0.005078616
word fjn 0.005075568
proved word 0.00507445
representative word 0.00507445
alignment model 0.00466692
alignment models 0.003314777
alignment performance 0.003210825
alignment error 0.003057923
alignment process 0.00301912
alignment approaches 0.003016275
alignment quality 0.002932896
alignment accuracy 0.002878381
alignment ajn 0.0028754080000000003
translation probability 0.0027914819999999996
pair model 0.002656163
alignment 0.00259069
other words 0.002555655
synonym model 0.0025531010000000003
ment model 0.0025025620000000003
graphical model 0.002438182
english words 0.002423492
different words 0.002417393
tive model 0.002403309
generative model 0.002385211
unigram model 0.002354061
trained model 0.002352823
model share 0.002351954
bilistic model 0.002348371
machine translation 0.0022718969999999997
synonym words 0.002159121
corresponding words 0.00207865
model 0.00207623
bilingual sentence 0.002006313
functional words 0.001956819
semous words 0.00195501
training data 0.00193955
translation 0.0018516
different language 0.0018415229999999999
sentence pair 0.001837633
sentence pairs 0.00180417
additional sentence 0.00178627
bilingual training 0.0017078150000000001
language pair 0.001686313
parallel sentence 0.0016830360000000002
words 0.00168225
ditional sentence 0.0015750640000000002
gual sentence 0.00154813
evaluation data 0.0015472300000000001
homogeneous sentence 0.00153464
additional data 0.0015089180000000002
data set 0.0015049540000000002
data source 0.001499018
additional training 0.001487772
training set 0.001483808
specific language 0.0014433319999999999
ferent language 0.001419006
large data 0.00141463
training sentences 0.00140022
unsupervised training 0.001388164
various data 0.001377058
monolingual corpus 0.0013591060000000001
data sources 0.001299053
hansards data 0.001297463
development data 0.001294526
data sets 0.001270721
french data 0.001267593
lation probability 0.001266665
supervised training 0.001259535
sentence 0.0012577
homogeneous data 0.001257288
parallel corpus 0.0012507450000000002
different languages 0.001239211
sition probability 0.001213757
bilingual sentences 0.001189631
previous work 0.001157555
ment models 0.001150419
target domain 0.001124342
specific target 0.001120299
experimental results 0.00111623
language 0.00110638
novel method 0.0010880450000000002
