word alignment 0.00830037
word alignments 0.00594823
word segmentation 0.00584029
english word 0.005624536
different word 0.005498288
chinese word 0.005489409
multiple word 0.005363436
word align 0.005360317
new word 0.005249356
program word 0.00521739
single word 0.005195419
word segmenta 0.005185737
skeleton word 0.005164964
linguistics word 0.005162181
motivated word 0.005158025
discriminative word 0.005156099
neighboring word 0.005144879
word boundaries 0.005124443
word segmen 0.005110956
explicit word 0.005110945
boring word 0.00510546
priate word 0.00510546
contents word 0.00510546
alignment models 0.004119068
alignment combination 0.004039208
baseline alignment 0.003955566
alignment precision 0.003935603
initial alignment 0.0039338210000000005
alignment quality 0.003916317
alignment errors 0.003873479
skeleton alignment 0.003871894
example alignment 0.003860653
combined alignment 0.003854962
alignment mod 0.003815314
alignment 0.00350365
machine translation 0.00259854
translation performance 0.002587145
translation nathan 0.0025374079999999997
translation thomas 0.0025007189999999998
english words 0.002174236
translation 0.00215447
english sentence 0.001974746
training corpus 0.001947538
link confidence 0.001837071
training method 0.001809248
skeleton words 0.001714664
sentence pair 0.0016815509999999999
ton words 0.001656869
sentence pairs 0.001644001
language model 0.001614626
baseline alignments 0.0016034259999999998
link posterior 0.001581954
initial alignments 0.001581681
segmentation network 0.001579449
skeleton link 0.001536444
corpus heather 0.001532253
zhao sentence 0.0015225780000000001
tutoring corpus 0.001520762
training data 0.001512225
sentence ordering 0.0015068619999999999
combined alignments 0.001502822
gigaword corpus 0.001498007
candidate alignments 0.001495146
rect link 0.001494361
training set 0.001493619
usa daniel 0.001491941
bad link 0.001482032
usa nathan 0.001461328
nese sentence 0.001459376
usa abby 0.001441568
usa david 0.001441568
usa samer 0.001441568
usa victor 0.001441568
usa jan 0.001441568
usa donald 0.001441568
usa lucy 0.001441568
usa taniya 0.001441568
usa adam 0.001441568
usa veselin 0.001441568
usa stephen 0.001441568
usa yorick 0.001441568
usa jennifer 0.001441568
usa alexander 0.001441568
usa michael 0.001441568
usa joel 0.001441568
usa udo 0.001441568
usa saif 0.001441568
usa yejin 0.001441568
usa tom 0.001441568
usa emine 0.001441568
usa delphine 0.001441568
system aaron 0.00142739
skeleton segmentation 0.001411814
system reyyan 0.001411596
segmentation ning 0.001410367
recognition system 0.001410328
noun phrase 0.001405176
phrase bracketing 0.001405176
ment model 0.001393968
learning system 0.001391859
