translation system 0.00226258
english translation 0.00217116
different language 0.002124267
other language 0.0019702879999999997
english sentence 0.001922601
target language 0.001784562
same language 0.001748417
parallel parse 0.0016686210000000001
machine translation 0.001653908
english text 0.0016235199999999998
language pair 0.001611904
complete translation 0.00159532
correct parse 0.0015823880000000001
english parsing 0.001576054
training data 0.0015646689999999999
gold parse 0.0015543500000000001
language edgs 0.001537789
alignment system 0.001528557
japanese translation 0.00152732
different languages 0.0015269939999999998
english machine 0.001523308
smt system 0.001503578
partial parse 0.001472243
parse disambiguation 0.001464421
preferred parse 0.0014626770000000001
parse ranking 0.001458113
system ambiguity 0.001456053
discriminative parse 0.0014475260000000002
partial translation 0.001434253
rect parse 0.001433649
parse disam 0.001430562
our system 0.001425024
chine translation 0.001396032
disambiguation system 0.001387251
ranking system 0.001380943
sented system 0.001353798
parser analyses 0.001347067
sentence pairs 0.001339491
english interpretation 0.001321914
parser output 0.001305009
language 0.00129617
japanese sentence 0.001278761
english mrss 0.001270731
raw parser 0.001260443
semantic tags 0.001218415
semantic alignment 0.00121181
bilingual corpus 0.001199174
parse 0.00118887
full sentence 0.001177675
biguated sentences 0.001171633
different lan 0.001170813
semantic tag 0.001170747
parsed sentences 0.001166352
gold data 0.001160379
translation 0.00115088
sentence match 0.0011470719999999998
different numbers 0.001141126
parallel corpus 0.001135606
gold training 0.00113525
semantic analyses 0.0011243
annotated data 0.001113597
system 0.0011117
parallel tree 0.001106612
bilingual parsing 0.001099093
semantic representation 0.001095343
different ambiguities 0.001094745
multiple languages 0.0010913849999999998
semantic rep 0.0010842480000000001
parallel text 0.001082991
different way 0.00108091
semantic structures 0.001077639
different granularity 0.001071301
semantic representations 0.001067561
tional data 0.001059215
semantic interface 0.0010383060000000001
ranking model 0.001033825
english 0.00102028
parser 0.00101772
dependency relation 9.84281E-4
japanese text 9.796800000000001E-4
manual tree 9.742920000000001E-4
related languages 9.71365E-4
further dependency 9.620189999999999E-4
original set 9.612570000000001E-4
elementary dependency 9.58006E-4
same approach 9.57956E-4
accuracy results 9.56291E-4
transfer rules 9.49409E-4
human gold 9.49308E-4
ple languages 9.44058E-4
tween languages 9.43876E-4
respective languages 9.41721E-4
dependency graphs 9.40717E-4
sentences 9.22794E-4
statistical machine 9.136369999999999E-4
sentence 9.02321E-4
open corpus 8.993650000000001E-4
tanaka corpus 8.993650000000001E-4
bilingual texts 8.957030000000001E-4
trained tree 8.90874E-4
