word pairs 0.0042661389999999995
first word 0.004149929
word frequency 0.004128949
target word 0.004089865
same word 0.004075355
possible word 0.004051648
word pair 0.004017102
complex word 0.003959441
original word 0.003949602
single word 0.003948648
candidate word 0.003944926
content word 0.003918267
second word 0.003901294
word magnate 0.003866639
obtaining word 0.003837722
replacement word 0.003820646
date word 0.003820646
sentence context 0.002152983
other words 0.001959326
sentence pairs 0.001937499
sentence simplification 0.00188927
context similarity 0.001789864
same sentence 0.001746715
words par 0.0016688900000000001
simple text 0.001663497
original sentence 0.001620962
content words 0.0016181770000000002
simple corpus 0.0016177700000000001
related words 0.001600252
our sentence 0.001592882
input sentence 0.001592436
output sentence 0.00156993
substitute words 0.001529932
rare words 0.001524246
stop words 0.0015237150000000001
ual words 0.001520881
sentence sim 0.001515016
automated sentence 0.001508975
latter sentence 0.0014939530000000001
context vector 0.0014741889999999999
similarity first 0.00145817
different frequency 0.001455579
lexical simplification 0.001331329
common context 0.001328893
simplification system 0.001269004
words 0.00126486
corpus complexity 0.001255997
body text 0.0012553179999999998
simplification rules 0.0012490779999999998
comparable corpus 0.0012466740000000001
different contexts 0.00124654
put text 0.001245502
corpus vocabulary 0.001239738
sentence 0.00123631
context vectors 0.001223554
similarity scores 0.0012169210000000001
corpus com 0.0012067970000000001
different domains 0.001202863
other sentences 0.0011965629999999999
sufficient context 0.0011932520000000001
weight similarity 0.00119302
simplification approach 0.0011861609999999998
english wikipedia 0.001174484
context vectorcvw 0.001173061
context scvs 0.001173061
cosine similarity 0.0011683120000000001
simplification methods 0.001164552
method our 0.001157036
alignment 0.00114968
different levels 0.001148736
simplification example 0.001133851
simple corpora 0.001113246
contextual information 0.001111746
learning simplification 0.001106868
english speakers 0.001085556
ple english 0.001073648
english lexi 0.0010724369999999999
unsupervised method 0.001062697
simplification rule 0.0010596289999999999
aware method 0.001056775
medical information 0.0010547080000000001
relevant information 0.001053868
form pairs 0.0010472629999999999
candidate simplification 0.001032936
simple articles 0.001019118
first sense 0.001009258
other cases 0.001005546
simplification base 0.001001053
automatic simplification 9.998849999999998E-4
simplification examples 9.946669999999999E-4
lexical complexity 9.91442E-4
pairs all 9.86884E-4
multiple rules 9.86027E-4
candidate rules 9.76094E-4
corresponding rules 9.62332E-4
move pairs 9.595039999999999E-4
corpus 9.42924E-4
lexical simplifica 9.40386E-4
tence simplification 9.403769999999999E-4
established simplification 9.349369999999999E-4
