word sense 0.002725282
word pairs 0.0026844449999999997
word similarity 0.00268406
similar word 0.002610594
single word 0.002372697
head word 0.00235031
word newspaper 0.002348097
word combinations 0.002308448
mutual information 0.001822706
similar words 0.001706254
other words 0.001693975
information value 0.0015721239999999998
similar collocation 0.001554887
phrasal words 0.001542936
text corpus 0.001520731
many collocations 0.001508986
class words 0.00149146
information values 0.001475952
individual words 0.001432675
information retrieval 0.001431188
large corpus 0.00141952
words chin 0.00139443
information filter 0.001388086
tual information 0.0013781599999999998
information val 0.001377501
newspaper corpus 0.001325708
different levels 0.001309109
collocation database 0.0012984350000000001
different opin 0.0012950659999999999
different fre 0.0012950659999999999
erroneous collocation 0.001292131
collocation triples 0.001265469
unmarked collocation 0.0012443760000000002
sible collocation 0.001241948
compositional collocations 0.001239613
following table 0.001205739
dependency relationships 0.001203822
dependency type 0.001200401
unique collocations 0.001189296
same context 0.001178304
similarity measure 0.0011709350000000001
unmarked collocations 0.0011666390000000001
frequency count 0.001162097
evaluation results 0.0011447760000000001
frequency counts 0.001140518
total frequency 0.00113886
object pairs 0.001138078
dependency relation 0.001123754
words 0.00111709
lexical resources 0.001114908
dependency relationship 0.001112355
ent frequency 0.001105707
arge frequency 0.001104345
probability space 0.001104184
average rate 0.001100645
information 0.00109955
phrasal similarity 0.0010884760000000001
dependency tree 0.001086394
other phrases 0.001084864
correct dependency 0.0010728
mutual infor 0.001059424
sense disambiguation 0.001056646
make difference 0.001049669
distributional similarity 0.001047748
similarity values 0.001039032
dependency database 0.0010383509999999999
lexical item 0.001035979
lexical analyzer 0.001031689
lexical knowl 0.001030659
mutual freq 0.001029125
true probability 0.001027256
evaluation sample 0.0010062830000000002
example dependency 0.00100581
dependency triples 0.001005385
mutual informa 0.001002475
corpus 9.99041E-4
same algorithm 9.96871E-4
locat ion 9.84351E-4
luat ion 9.83869E-4
lus ion 9.81219E-4
rmat ion 9.78353E-4
make change 9.78187E-4
collocation 9.65723E-4
frequent parser 9.54257E-4
such idioms 9.53489E-4
marked pairs 9.407129999999999E-4
above derivation 9.38991E-4
possible way 9.359149999999999E-4
format ion 9.3581E-4
first column 9.13363E-4
ratio test 9.13076E-4
obvious way 9.101609999999999E-4
such sub 9.0415E-4
many gaps 9.02325E-4
many combi 9.02325E-4
previous research 8.924439999999999E-4
collocations 8.87986E-4
economic object 8.86202E-4
parser errors 8.861329999999999E-4
object impact 8.793E-4
