translation model 0.00379479
language model 0.0035819199999999997
translation probability 0.00299445
word alignment 0.0027096200000000003
english tree 0.0026883999999999996
translation system 0.002667603
model size 0.002620159
ibm model 0.002504349
channel model 0.002453881
translation sentences 0.0024010430000000003
model tables 0.0023821
machine translation 0.002354752
tistical model 0.0023442940000000002
first tree 0.002319786
english word 0.0023133399999999997
phrasal translation 0.002274896
second tree 0.002191527
translation systems 0.002142668
word sentence 0.002133449
tree nodes 0.0021224119999999997
parse tree 0.002121344
translation sys 0.0020935980000000003
nel translation 0.002090812
same node 0.002041444
model 0.00202388
third tree 0.002020254
fourth tree 0.001969066
alignment quality 0.0019583580000000003
word order 0.001955557
training corpus 0.001914278
foreign language 0.0019019229999999998
english sentence 0.001896609
translation 0.00177091
ibm models 0.001715369
english phrase 0.0016738919999999997
channel probability 0.001653541
extra word 0.00164538
word positions 0.001634464
foreign word 0.0016189730000000001
word kare 0.00159256
probability tables 0.00158176
english parser 0.0015747259999999998
language 0.00155804
ple probability 0.0015531059999999998
parameterized models 0.001552719
prior probability 0.001541198
english parse 0.001509444
leaf words 0.001483289
child node 0.001472513
alignment 0.00143453
node label 0.001407581
top node 0.001399418
node prp 0.0013943660000000002
node sequence 0.001391247
same time 0.00135512
bilingual corpus 0.001325512
syntactic parse 0.001313332
syntactic structure 0.00124829
models 0.0012349
probability 0.00122354
syntactic structures 0.0012040459999999998
foreign sentence 0.001202242
words 0.00115986
several pruning 0.0011224030000000001
statistical machine 0.0011176509999999999
training 0.0011121
conditioning features 0.0010526630000000001
phrasal translations 0.001038378
english 0.00103825
different decoder 0.001013011
foreign phrase 9.79525E-4
reordering children 9.67131E-4
children nodes 9.65062E-4
experimental results 9.331389999999999E-4
system 8.96693E-4
pruning tech 8.85486E-4
channel operations 8.73063E-4
imental results 8.71335E-4
search space 8.67739E-4
huge search 8.66411E-4
computational linguistics 8.65198E-4
second ence 8.63279E-4
sentence 8.58359E-4
channel input 8.54172E-4
channel output 8.386859999999999E-4
stochastic operations 8.18175E-4
noisy channel 8.12476E-4
different choices 8.03542E-4
corpus 8.02178E-4
non compound 8.017040000000001E-4
input side 7.9312E-4
practical decoding 7.854839999999999E-4
compound nouns 7.854190000000001E-4
parent label 7.83749E-4
pioneering paper 7.67191E-4
figure 7.62915E-4
detailed examples 7.61122E-4
nel input 7.44073E-4
marker particles 7.42194E-4
sparseness problems 7.42194E-4
