translation model 0.00530605
translation models 0.0046824
hierarchical translation 0.004227343
machine translation 0.004128755
alternative translation 0.004098076
translation task 0.004049154
unified translation 0.004031764
translation forest 0.004023484
based translation 0.004014771
lexical translation 0.004014408
translation hypergraph 0.004008985
various translation 0.003972819
translation logic 0.003964824
controlled translation 0.003955369
unscored translation 0.003939014
translation hyper 0.003937991
translation possibilities 0.003935096
translation forests 0.003933483
rescored translation 0.003931666
translation 0.00364636
word alignment 0.00295677
language model 0.00290421
source language 0.00285993
sentence source 0.002511511
source sentence 0.002511511
different source 0.00231354
language models 0.00228056
posteriori word 0.002183149
language sentence 0.002140621
distortion model 0.002137198
target language 0.00213633
language words 0.00213487
alignment alignment 0.00211852
model type 0.002083428
source lattice 0.002024567
source coverage 0.0020176120000000002
model integration 0.0019966719999999997
model types 0.001973879
scfg model 0.001963655
source span 0.001953747
guage model 0.001950901
transducer source 0.001946719
source decoders 0.001945943
source string 0.00191309
open source 0.001909541
cfg source 0.001902
source cfg 0.001902
source frame 0.001900715
target sentence 0.001787911
other models 0.001715329
model 0.00165969
source 0.00161541
data structure 0.001561514
language reference 0.001552512
alignment algorithm 0.001542795
language coverages 0.001530155
tion models 0.001488566
new models 0.001476743
alignment forest 0.001436384
unified data 0.001421764
based models 0.0014044510000000001
alignment forests 0.001346383
scfg models 0.001340005
phrase 0.00133875
applicable models 0.001332284
sentence pair 0.001327089
dominant models 0.001322251
ging models 0.001321305
hypergraph target 0.001254435
language 0.00124452
target intersection 0.001237259
training objective 0.001228977
discriminative training 0.001227924
criminative training 0.00122496
training sion 0.00122496
target lan 0.001183932
possible translations 0.0011820989999999998
decoding pipeline 0.001107528
general function 0.0010677
single node 0.001059489
alignment 0.00105926
models 0.00103604
several years 0.001005515
hypergraph output 9.96262E-4
output cube 9.84357E-4
single head 9.39634E-4
training 9.38076E-4
output label 9.325550000000001E-4
decoder workflow 9.25061E-4
general inference 9.177409999999999E-4
first step 9.177370000000001E-4
feature values 9.169709999999999E-4
feature expectations 9.120199999999999E-4
statistical machine 9.031099999999999E-4
function optimization 8.9806E-4
sentence 8.96101E-4
parser fst 8.947219999999999E-4
target 8.9181E-4
words 8.9035E-4
general rescoring 8.696999999999999E-4
