new word 0.0040136090000000004
word representation 0.003938804
word recognition 0.003873939
word list 0.003865554
word representations 0.00383687
ann word 0.003815658
robust word 0.003741369
adequate word 0.0037246840000000002
anguage words 0.002421743
words 0.0021516
different letter 0.001594013
different representation 0.0015384840000000001
different types 0.00143121
different forms 0.0014069899999999999
different effects 0.001397877
other letter 0.0013842379999999999
different positions 0.001373774
common method 0.0013452569999999999
error types 0.001302847
spelling errors 0.001268763
training time 0.001211768
other ann 0.001205563
local method 0.001198339
other letters 0.00117684
other languages 0.0011747609999999999
test corpus 0.001143733
test set 0.0011152470000000002
test results 0.001050787
data sets 0.001039039
test sets 0.001014705
deletion errors 9.61653E-4
error 9.61167E-4
letter representation 9.53437E-4
reversal errors 9.49187E-4
local letter 9.489310000000001E-4
reasonable time 9.38567E-4
text understanding 9.240779999999999E-4
new methods 9.21292E-4
level input 9.03527E-4
large number 9.02662E-4
new fllb 8.83511E-4
network performance 8.793010000000001E-4
novel data 8.779040000000001E-4
common sense 8.69681E-4
first half 8.69337E-4
common view 8.619319999999999E-4
letter representations 8.51503E-4
representation methods 8.464869999999999E-4
several nodes 8.26028E-4
test variables 8.20534E-4
test design 8.15074E-4
split representation 8.14218E-4
extra letter 8.07112E-4
neural network 8.06905E-4
spelling variants 8.025630000000001E-4
spelling similarities 7.98524E-4
valid spelling 7.974410000000001E-4
large scores 7.934439999999999E-4
ann performance 7.92047E-4
local representations 7.91468E-4
input layer 7.90384E-4
particular letter 7.90138E-4
letter positions 7.88727E-4
certain letter 7.818440000000001E-4
letter represen 7.7637E-4
new fllbs 7.744430000000001E-4
fixed length 7.61744E-4
variable length 7.60864E-4
input issues 7.581280000000001E-4
method 7.53891E-4
input buffer 7.52979E-4
each letter 7.39346E-4
letter buffers 7.39346E-4
overall performance 7.25169E-4
split fllb 7.25016E-4
previous letters 7.16668E-4
errors 7.14825E-4
list size 7.10536E-4
several drawbacks 7.10445E-4
ann recognition 7.09897E-4
fllb representations 7.06772E-4
numerical value 7.052720000000001E-4
mean root 6.85026E-4
such designs 6.83343E-4
numeric representation 6.832839999999999E-4
representation call 6.832839999999999E-4
training 6.78926E-4
fllb type 6.68774E-4
english homo 6.66355E-4
reasonable decisions 6.51336E-4
network community 6.49938E-4
second half 6.428320000000001E-4
available space 6.42545E-4
alternative representations 6.4201E-4
significant effect 6.41345E-4
rank scores 6.37468E-4
neural networks 6.341809999999999E-4
nlp applications 6.310129999999999E-4
nlp systems 6.308220000000001E-4
layer nodes 6.26129E-4
