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word distance 0.003023118
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word pair 0.002929218
word association 0.0028516920000000003
maximum word 0.0028250840000000003
word formation 0.0028219070000000002
word detection 0.002813347
textual word 0.002808446
word error 0.002806479
directed word 0.0028051120000000002
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word decoding 0.002798955
word identification 0.002794069
word hypotheses 0.002781656
duce word 0.002779428
each word 0.002774878
word associ 0.002770155
formed word 0.002769581
word asso 0.0027687330000000002
word formations 0.0027687330000000002
text normalization 0.00233756
other words 0.002105482
oov words 0.0020906830000000003
common words 0.002090011
new words 0.0019680410000000002
candidate words 0.001962806
normalization system 0.001930067
text corpus 0.001886676
language model 0.001810227
lexical similarity 0.001793645
text information 0.0017815300000000001
canonical words 0.001765253
stop words 0.001712008
overrated words 0.0017102810000000001
normalization approach 0.001706576
standard text 0.0017008490000000002
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normalization candidates 0.001655714
similarity candidates 0.001652974
similarity feature 0.001639298
recent text 0.0016148900000000001
unsupervised text 0.001614704
media text 0.001614336
normalization task 0.001612292
social text 0.001607172
input text 0.0016018340000000001
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contextual similarity 0.0015666179999999999
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normalization method 0.0015565129999999998
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precision text 0.001552814
text message 0.001499062
text messages 0.001486282
words 0.00148619
tweet text 0.0014851360000000002
cial text 0.001478694
cal similarity 0.0014675439999999999
text normaliza 0.0014639560000000002
text mes 0.001460106
phonetic similarity 0.001459848
digitized text 0.001458293
put text 0.001458293
good normalization 0.0014534489999999999
normalization dataset 0.001433324
similarity our 0.001418907
similarity function 0.001411498
correct normalization 0.001403751
normalization studies 0.001379557
same context 0.001373189
textual similarity 0.001364506
similarity lattice 0.00136027
matical similarity 0.001343345
different nodes 0.001340855
normalization sys 0.001336357
normalization dic 0.001335377
surface similarity 0.001333817
normalization lexi 0.00133179
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similarity calculations 0.001324635
lexical features 0.0012855610000000002
linear model 0.0012492
contextual context 0.00124913
different pos 0.001247133
generic model 0.001237263
channel model 0.001227971
error model 0.001219349
mapping model 0.001210088
common oov 0.001208314
markov model 0.00120494
same oov 0.0011946399999999999
unsupervised graph 0.001193557
