translation model 0.00375199
dependency model 0.003174619
word alignment 0.00316906
probabilistic model 0.002922911
ibm model 0.002910175
new model 0.0028775429999999998
generative model 0.002859825
blitg model 0.00282181
model bene 0.0028143309999999998
model 0.00255318
language word 0.00253784
models word 0.002295101
alignment error 0.002108728
bilingual alignment 0.002062752
alignment links 0.002008394
alignment patterns 0.001994361
word pairs 0.001994313
level alignment 0.001987347
word pair 0.001985029
help alignment 0.00196268
alignment precision 0.001960246
alignment task 0.001954533
alignment algorithms 0.001946749
bilingual word 0.001910132
head word 0.00189649
word dependencies 0.001883044
word links 0.0018557740000000001
word level 0.001834727
null word 0.0018235410000000001
word transla 0.0017858449999999999
pendency word 0.0017788650000000001
unknown word 0.001771021
word aligners 0.001768957
recovered word 0.001768957
other language 0.001722092
translation pair 0.0016756190000000002
alignment 0.00166084
translation probabilities 0.001658081
machine translation 0.001614728
dependency tree 0.001560308
english sentence 0.0015337530000000001
language pairs 0.001515713
language pair 0.001506429
source language 0.001485985
outside probability 0.001483671
itg tree 0.001452592
english words 0.001443941
language string 0.001425061
sentence length 0.0014240260000000001
second language 0.001418102
outside words 0.0014135929999999999
parse tree 0.001413008
sentence pairs 0.001408085
example sentence 0.0014045289999999998
sentence pair 0.0013988009999999999
language bilexicalization 0.0013546959999999999
tree structure 0.0013517120000000001
good alignments 0.001340214
specific language 0.001336742
synchronous tree 0.0013254
dependency results 0.001316084
syntactic reordering 0.001315814
foreign language 0.0013132299999999999
such rules 0.0013003210000000001
viterbi alignments 0.001278048
training corpus 0.001273771
annotated alignments 0.001271487
lexical information 0.001266399
training algorithm 0.001263092
inside probability 0.001256046
data set 0.001254383
ing data 0.001250077
same amount 0.001237608
english dependency 0.0012332
head words 0.00122045
lexical rules 0.001216871
same subcell 0.001200498
chronous tree 0.001200156
ample tree 0.001200156
coherent tree 0.001200156
cal probability 0.001199698
translation 0.00119881
dependency rules 0.001191183
reordering information 0.0011835880000000002
lexical itg 0.0011608500000000002
unsupervised training 0.001160389
chinese data 0.001155868
ibm models 0.001143876
test data 0.001141203
english side 0.00113936
outside algorithm 0.001128105
dependency parameters 0.001127434
tion grammar 0.0011213689999999999
foreign words 0.00111579
ing algorithm 0.0011127379999999998
many cells 0.001105562
grammar constant 0.001100306
nese words 0.001093359
dependency probabilities 0.00108071
dependency error 0.0010693270000000001
