word sequence 0.004919772
work word 0.004883415
correct word 0.004852846
candidate word 0.004831146
word list 0.004807309
word acquisition 0.004801678
word sequences 0.004797635
word dresser 0.004791786
word acquisi 0.004788304
word chair 0.004773878
word lamp 0.004773597
word recognition 0.0047648989999999995
word green 0.004763369
word candi 0.004760801
automatic word 0.004759418
word desk 0.004753488
word candidates 0.004751133
word acqui 0.004750614
tomatic word 0.004750614
word vanity 0.004750614
ken word 0.004750614
word wie 0.004750614
new words 0.0025457020000000004
translation model 0.002493209
new model 0.002344282
correct words 0.0023251960000000003
candidate words 0.0023034960000000004
vocabulary words 0.002279451
words dresser 0.0022641360000000004
model figure 0.002239496
ground words 0.0022269610000000004
ciate words 0.002223576
truth words 0.002223576
words auto 0.002223576
compatible words 0.002223576
patible words 0.002223576
domain model 0.00218648
model rank 0.002109046
ain model 0.002035085
base model 0.0020330730000000003
words 0.00200589
semantic alignment 0.001966756
model 0.00180447
different models 0.00179158
semantic information 0.001739165
semantic similarity 0.00160399
translation models 0.0015984049999999998
semantic relatedness 0.0015287699999999998
semantic lexicon 0.0014925569999999998
semantic type 0.001472782
semantic concepts 0.001398672
semantic align 0.0013958549999999999
semantic knowledge 0.001390424
semantic meanings 0.0013438509999999999
alignment probability 0.001342686
semantic relat 0.001313505
speech data 0.001291368
temporal alignment 0.001269292
different number 0.0012661550000000001
human language 0.001240827
many language 0.001232115
alignment constraint 0.001225852
ing models 0.001218467
different types 0.0012058210000000001
language processing 0.001198099
different precision 0.001188866
alignment prob 0.001155523
user language 0.001134297
ent models 0.001133048
models sition 0.001129735
parallel data 0.001127843
different ways 0.00111159
ral alignment 0.001097666
poral alignment 0.001093529
language ground 0.001067266
language inputs 0.001066037
language behavior 0.00106508
data collection 0.00106149
data preprocessing 0.001057866
temporal information 0.001041701
statistical translation 0.00103839
visual context 0.001014432
translation problem 9.94631E-4
use translation 9.28089E-4
mutual information 9.18612E-4
models 9.09666E-4
sic translation 9.06287E-4
alignment 8.73556E-4
ral information 8.70075E-4
poral information 8.659379999999999E-4
other hand 8.598249999999999E-4
language 8.46195E-4
similarity score 8.25838E-4
visual representations 8.05617E-4
new association 8.00484E-4
entity sequence 7.97342E-4
entity pairs 7.96054E-4
same type 7.93811E-4
example table 7.87467E-4
table object 7.81627E-4
