word sense 0.0052158
corpus sense 0.004468272
first sense 0.004166759
sense disambiguation 0.004073454
specific sense 0.004028923
sense graph 0.0039939319999999995
parameters sense 0.003961321
sense distribution 0.003900915
marathi sense 0.003882783
relative sense 0.003879718
hindi sense 0.003877442
dominant sense 0.003809689
sense distributions 0.003798493
sense distribu 0.003794446
exact sense 0.003790585
sense nodes 0.0037865299999999998
sense dictionaries 0.0037865299999999998
sense 0.00355137
word synset 0.0024764469999999997
marathi word 0.0019958429999999997
different wsd 0.001969759
other words 0.001945015
word river 0.001913784
word सागर 0.001900779
semous word 0.0018995449999999999
word मुलगा 0.0018995449999999999
word sea 0.0018995449999999999
other senses 0.0018579550000000001
multilingual wsd 0.001662924
same words 0.001585551
marathi words 0.001546053
noun senses 0.001544847
hindi words 0.0015407119999999999
monosemous words 0.0015225549999999999
wsd method 0.0015012320000000001
wsd task 0.001499834
polysemous words 0.0014885159999999998
different languages 0.001472522
algorithm language 0.0014567
language algorithm 0.0014567
bisemous words 0.0014503609999999998
wsd algorithms 0.001423187
dominant senses 0.001385899
synset english 0.001383774
english synset 0.001383774
training corpus 0.00137229
corpus parameters 0.001326853
iterative wsd 0.00131244
wsd iwsd 0.001310131
tourism corpus 0.001294391
wsd algo 0.001294057
other languages 0.001279978
language marathi 0.001251677
marathi corpus 0.001248315
hindi corpus 0.001242974
rich language 0.0012210139999999999
words 0.00121464
self corpus 0.001205396
corpus statistics 0.00120178
different domains 0.001195193
language pair 0.001192354
indian language 0.001180246
candidate synset 0.0011778609999999999
static corpus 0.0011748420000000002
national language 0.0011714809999999998
fortunate language 0.001169481
central language 0.001166106
distributions corpus 0.001164025
different levels 0.001159265
rathi corpus 0.0011558710000000002
multilingual dictionary 0.001153036
corpus bias 0.0011524390000000001
first algorithm 0.001151825
marathi synset 0.00114343
first parameter 0.001141868
hindi synset 0.001138089
synset hindi 0.001138089
novel synset 0.001136561
senses 0.00112758
appropriate synset 0.0010965249999999999
semantic relations 0.001084597
dominant synset 0.0010703359999999999
dictionary parameter 0.001063431
domain accuracy 0.001053079
synset members 0.001050723
synset node 0.001048257
minant synset 0.001048257
neuron synset 0.001048257
good performance 0.001044578
wordnet graph 0.001042226
other component 0.00103119
high domain 0.001025645
tourism domain 0.001023794
wordnet parameters 0.001009615
lexical choice 0.001004635
other domains 0.001002649
work knowledge 9.94642E-4
semantic relation 9.902119999999999E-4
wordnet baseline 9.87265E-4
lexical substitu 9.83411E-4
