word sense 0.00327452
seed data 0.002734743
same data 0.002556349
first sense 0.0024715379999999997
word translation 0.00240366
training data 0.002360306
labeled data 0.00235082
specific sense 0.002329154
data figure 0.0022981110000000003
context words 0.002258632
sense disambiguation 0.002243116
annotated data 0.002237838
target words 0.002223361
tourism data 0.002217599
unlabeled data 0.002200636
other words 0.002199049
hindi sense 0.002192866
rect sense 0.002148696
health data 0.002147813
candidate sense 0.002143293
sense distributions 0.0021404049999999997
sense disam 0.002132652
assigned sense 0.002130181
sense distribu 0.002129658
singleton sense 0.002128231
majority sense 0.002128231
untagged data 0.002112379
words wsd 0.00208244
entire data 0.00205531
notated data 0.002043235
data ber 0.002042457
hindi words 0.001969626
polysemous words 0.001959166
bilingual word 0.0019576669999999997
words category 0.001941662
monosemous words 0.001935121
linked words 0.001910642
disambiguated words 0.001905633
sense 0.00187788
marathi word 0.001726954
hindi word 0.001711626
different seed 0.0017098579999999999
polysemous word 0.001701166
domain algorithm 0.0016890999999999998
word mumatra 0.001688292
monosemous word 0.001677121
words 0.00165464
mous word 0.001647414
target language 0.001582491
other language 0.001558179
seed labeled 0.001499523
tourism domain 0.001435259
seed size 0.001414378
translation disambiguation 0.001372256
health domain 0.0013654729999999999
monolingual seed 0.001347855
language pair 0.0013269
small seed 0.001324419
rich language 0.001323683
pivot language 0.001274681
seed sizes 0.001262212
annotated corpus 0.001210762
seed collocations 0.001208382
own seed 0.001191404
new information 0.00117513
initial model 0.001150855
corpus statistics 0.001110556
other languages 0.001099141
untagged corpus 0.001085303
different domains 0.0010841829999999998
english docu 0.001083662
english doc 0.001082756
bootstrapping algorithm 0.001080192
bootstrapping method 0.001070039
self corpus 0.0010512
training process 0.001042697
different amounts 0.001033165
different views 0.0010319069999999999
different curves 0.001029044
language 0.00101377
high accuracy 0.001013533
domain 0.00101068
translation 0.00100702
parallel corpora 0.001003779
bilingual approaches 9.99432E-4
various parameters 9.91028E-4
annotation work 9.723959999999999E-4
bilingual bootstrapping 9.62799E-4
specific task 9.602909999999999E-4
above process 9.499280000000001E-4
following question 9.33285E-4
annotated corpora 9.323129999999999E-4
effective method 9.32132E-4
ping approach 9.284860000000001E-4
multiple languages 9.26551E-4
first component 9.04261E-4
parameter projection 8.92973E-4
work bootstrapping 8.88687E-4
small number 8.76127E-4
average number 8.6516E-4
