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t
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l J
o
urna
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f
E
lect
rica
l a
nd
Co
m
pu
t
er
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ineering
(
I
J
E
CE
)
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l.
15
,
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.
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A
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20
25
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4
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v
15
i
4
.
pp
4
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3
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2
4031
J
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m
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:
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ttp
:
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M
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ticle
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R
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Au
g
1
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ev
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2
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ts,
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in
fra
stru
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tu
re
(S
DG
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).
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c
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rre
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ra
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rk
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s)
a
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to
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1
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).
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t
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tan
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).
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).
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s.
K
ey
w
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s
:
Au
to
m
ated
co
n
tr
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l sy
s
tem
Do
cu
m
en
t stru
ctu
r
e
Fo
r
m
al
lan
g
u
a
g
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I
n
tellig
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s
tem
Qu
ality
m
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ag
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t
T
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is i
s
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CC B
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se
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C
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s
p
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ing
A
uth
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r
:
Sh
ar
a
T
o
y
b
ay
ev
a
Dep
ar
tm
en
t o
f
Au
to
m
atio
n
an
d
C
o
n
tr
o
l,
Gu
m
a
r
b
ek
.
Dau
k
ee
v
Alm
aty
Un
iv
er
s
ity
o
f
Po
wer
E
n
g
in
ee
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i
n
g
an
d
T
elec
o
m
m
u
n
icatio
n
s
B
ay
tu
r
s
y
n
u
li 1
2
6
/1
,
Alm
aty
,
Kaz
ah
s
tan
E
m
ail: sh
.
to
ib
ae
v
a@
au
es.k
z
1.
I
NT
RO
D
UCT
I
O
N
T
h
e
ec
o
n
o
m
ic
p
o
ten
tial
o
f
Kaz
ak
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s
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is
d
ir
ec
tly
r
elate
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t
o
th
e
d
e
v
elo
p
m
e
n
t
o
f
b
u
s
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es
s
,
an
d
th
e
m
an
ag
em
en
t
en
v
ir
o
n
m
e
n
t
af
f
ec
ts
th
e
ef
f
icien
cy
an
d
ef
f
ec
t
iv
en
ess
o
f
th
e
en
ter
p
r
is
e.
B
y
jo
in
in
g
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e
W
T
O,
Kaz
ak
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s
tan
h
as
in
cr
ea
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ed
co
m
p
etitio
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b
etwe
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ter
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cc
u
p
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its
n
ich
e
in
th
e
m
a
r
k
et
an
d
s
tr
en
g
th
e
n
its
p
o
s
itio
n
,
wh
ich
r
eq
u
ir
es
th
e
r
elea
s
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o
f
h
ig
h
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q
u
ality
p
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cts
to
t
h
e
m
ar
k
et,
ca
p
ab
le
o
f
s
atis
f
y
in
g
th
e
en
d
u
s
er
s
[
1
]
.
T
h
e
en
ter
p
r
is
e
ad
ap
ts
to
ch
an
g
es
in
th
e
ex
ter
n
al
en
v
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o
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m
en
t,
wh
ich
d
eter
m
in
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its
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izatio
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co
m
p
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t
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f
m
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ag
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clu
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s
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u
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ap
p
r
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p
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iate
s
tr
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r
elatio
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ip
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r
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s
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ip
s
)
,
a
n
d
d
o
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m
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r
eq
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ir
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ts
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ay
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e
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f
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ec
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lt
o
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th
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o
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g
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o
f
all
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u
n
ctio
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s
o
f
th
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n
ter
p
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p
lan
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in
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,
o
r
g
an
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n
,
p
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o
d
u
ctio
n
,
co
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t
r
o
l,
wo
r
k
with
p
er
s
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el,
etc.
is
ch
ar
ac
ter
ized
b
y
th
e
co
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c
ep
t
o
f
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u
ality
.
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r
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am
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le,
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q
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ality
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f
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ct
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lects
th
e
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esig
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,
d
ev
elo
p
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en
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m
an
u
f
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h
u
s
,
q
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ality
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ag
em
en
t
af
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ts
th
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en
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p
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ct
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cle:
f
r
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ar
k
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ig
n
s
tag
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d
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p
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ctio
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cts,
s
ales
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d
m
ain
ten
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ce
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I
n
th
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eg
ar
d
,
th
e
cu
r
r
en
t
s
tep
s
i
n
th
e
d
ev
el
o
p
m
en
t
o
f
q
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ality
im
p
r
o
v
em
en
t
tech
n
i
q
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es
c
o
v
er
b
o
th
th
e
p
r
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b
lem
s
o
f
im
p
r
o
v
in
g
th
e
q
u
ality
o
f
p
r
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d
u
cts o
r
s
er
v
ices,
an
d
t
h
e
q
u
alit
y
o
f
m
a
n
ag
em
e
n
t its
elf
[
2
]
.
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
2
0
8
8
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8
7
0
8
I
n
t J E
lec
&
C
o
m
p
E
n
g
,
Vo
l.
15
,
No
.
4
,
Au
g
u
s
t
20
25
:
4
0
3
1
-
4042
4032
T
h
e
m
ain
task
f
o
r
ef
f
ec
tiv
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m
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ag
em
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t
ar
e
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tag
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atio
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s
e
o
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an
au
to
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ated
s
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s
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f
q
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m
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ag
em
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t.
T
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c
o
n
tr
o
l
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ld
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ested
in
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atio
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e
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tain
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en
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At
p
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ct
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e
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b
je
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an
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T
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cc
ess
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u
lly
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f
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its
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u
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en
ter
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s
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ig
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if
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elate
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ac
tiv
ities
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a
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tem
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f
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r
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ce
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s
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Acc
o
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d
in
g
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th
e
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lts
o
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h
e
an
aly
s
is
o
f
liter
ar
y
s
o
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r
ce
s
f
o
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last
2
0
y
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r
s
,
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ca
n
s
ay
th
at
in
th
e
w
o
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ld
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i
n
p
a
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ticu
lar
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n
Kaz
ak
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s
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s
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r
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to
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tatis
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ca
n
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te
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at
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tar
tin
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o
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m
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ak
h
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e
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9
0
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s
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wh
en
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m
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m
ar
k
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tem
h
av
e
ch
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g
ed
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r
am
atic
ally
,
an
d
th
er
e
was
a
n
ee
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to
s
tu
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y
th
e
f
o
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ei
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x
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ce
o
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m
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ag
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m
en
t,
to
a
p
p
ly
it
in
th
e
c
o
u
n
tr
y
.
Mo
r
e
a
n
d
m
o
r
e
in
ter
est
in
th
e
im
p
lem
en
tatio
n
o
f
th
e
Q
MS
an
d
au
to
m
atio
n
o
f
b
u
s
in
e
s
s
p
r
o
ce
s
s
es
o
f
en
ter
p
r
is
es
is
n
o
ted
.
Fo
r
e
x
am
p
le,
th
e
q
u
er
y
“
au
t
o
m
atio
n
o
f
q
u
ality
m
an
ag
em
en
t
”
in
th
e
i
n
f
o
r
m
atio
n
b
ase
o
f
s
cien
tific
elec
tr
o
n
ic
lib
r
ar
y
eL
I
B
R
A
R
Y.
R
U
r
ec
eiv
ed
4
3
0
8
5
r
esu
lts
[
3
]
,
[
4
]
,
wh
ich
in
d
i
ca
tes
th
e
in
ter
est
in
q
u
ality
m
an
ag
em
en
t
s
y
s
tem
s
an
d
its
au
to
m
atio
n
i
n
th
e
s
cien
tific
co
m
m
u
n
ity
.
I
n
a
n
in
d
u
s
tr
ialized
co
u
n
tr
y
,
it
is
n
ec
ess
ar
y
to
m
ee
t
th
e
c
h
allen
g
es
o
f
im
p
lem
e
n
tin
g
an
d
k
e
ep
in
g
u
p
-
to
-
d
ate
m
o
d
er
n
m
a
n
ag
em
e
n
t
s
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tem
s
,
wh
er
e
co
m
p
e
titi
o
n
,
k
n
o
wled
g
e
-
in
ten
s
iv
e,
in
n
o
v
ativ
e
a
n
d
tech
n
o
lo
g
ically
s
o
p
h
is
ticated
p
r
o
d
u
ctio
n
is
d
ev
elo
p
ed
.
Sin
c
e
th
e
b
eg
in
n
in
g
o
f
2
0
0
2
,
th
e
o
r
g
an
izatio
n
,
d
esig
n
an
d
i
m
p
lem
en
tatio
n
o
f
QM
S
o
f
o
r
g
a
n
izatio
n
s
in
Kaz
ak
h
s
tan
h
as
b
ee
n
n
o
ticea
b
ly
s
tr
en
g
t
h
en
ed
[
5
]
,
[
6
]
.
I
n
th
e
f
ield
o
f
q
u
ality
m
an
ag
em
e
n
t,
th
e
o
r
d
er
s
o
f
Prim
e
Min
is
te
r
o
f
th
e
R
ep
u
b
lic
o
f
Kaz
ak
h
s
tan
No
28
-
r
d
ated
0
6
.
0
2
.
2
0
0
4
an
d
No
175
-
r
d
at
ed
2
7
.
0
6
.
2
0
0
6
o
n
th
e
s
o
o
n
est
r
ea
r
r
a
n
g
em
e
n
t
o
f
en
ter
p
r
is
es
ac
co
r
d
i
n
g
to
I
SO
s
tan
d
ar
d
s
h
av
e
b
ee
n
ad
o
p
ted
,
s
o
o
n
ac
h
iev
in
g
th
e
s
et
g
o
als
in
th
e
co
u
n
tr
y
t
h
e
p
r
o
p
er
m
at
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an
d
tech
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ical
s
u
p
p
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r
t,
n
o
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m
ati
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an
d
m
eth
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d
o
lo
g
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b
ase
f
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im
p
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ta
tio
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f
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n
ter
n
atio
n
al
s
tan
d
ar
d
s
is
cr
ea
ted
[
7
]
,
[
8
]
.
T
h
e
r
eg
u
lato
r
y
f
r
am
ewo
r
k
o
f
th
e
R
ep
u
b
lic
o
f
Kaz
ak
h
s
tan
[
7
]
,
[
9
]
in
clu
d
es
3
6
s
tate
s
tan
d
ar
d
s
,
wh
er
e
in
ter
n
atio
n
al
I
SO
s
tan
d
a
r
d
s
wer
e
tak
en
as
a
b
asis
an
d
ad
o
p
ted
as
s
tate
s
tan
d
ar
d
s
o
f
th
e
R
ep
u
b
lic
o
f
Kaz
ak
h
s
tan
.
Dev
elo
p
m
e
n
t a
n
d
im
p
lem
en
tat
io
n
o
f
s
tan
d
a
r
d
s
is
p
ar
t o
f
th
e
s
tan
d
ar
d
izatio
n
p
l
an
o
f
th
e
R
ep
u
b
lic
o
f
Kaz
ak
h
s
tan
ea
c
h
y
ea
r
i
n
th
e
f
ield
o
f
m
an
ag
em
e
n
t.
I
n
th
eir
wo
r
k
,
Gar
r
id
o
-
Mo
r
e
n
o
et
a
l.
[
1
0
]
ar
g
u
e
th
at
th
e
с
o
m
p
an
ies
ar
e
f
o
r
ce
d
to
r
ea
ct
q
u
ick
ly
an
d
r
eth
in
k
t
h
eir
b
u
s
in
ess
s
tr
ateg
ies
in
an
u
n
ce
r
tain
a
n
d
c
o
m
p
le
x
ec
o
n
o
m
ic
e
n
v
ir
o
n
m
en
t.
I
n
n
o
v
atio
n
h
as
b
ec
o
m
e
a
s
tr
ateg
ic
im
p
er
ativ
e
f
o
r
ad
ap
tin
g
to
m
a
r
k
et
ch
a
n
g
es
an
d
m
ain
tain
in
g
co
m
p
etitiv
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es
s
,
an
d
r
esil
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ce
is
g
ain
in
g
atten
tio
n
as
a
p
r
er
e
q
u
is
ite
f
o
r
o
r
g
a
n
izatio
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s
to
s
u
cc
ess
f
u
lly
r
esp
o
n
d
t
o
ex
te
r
n
al
en
v
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r
o
n
m
e
n
tal
p
r
ess
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r
es.
I
n
n
o
v
ativ
e
co
m
p
a
n
ies
ar
e
ad
o
p
tin
g
n
ew
s
y
s
tem
s
m
an
ag
em
en
t
ap
p
r
o
ac
h
es,
an
d
e
n
ter
p
r
is
e
q
u
ality
m
an
ag
er
s
ar
e
ac
h
iev
in
g
g
r
ea
te
r
r
esu
lts
f
o
r
th
eir
o
r
g
a
n
izatio
n
s
in
less
tim
e
[
1
1
]
,
[
1
2
]
.
Sev
er
al
p
r
o
b
lem
s
ca
n
b
e
id
e
n
tifie
d
th
at
q
u
ality
m
an
ag
em
en
t
p
r
o
f
ess
io
n
als
en
co
u
n
ter
wh
en
u
s
in
g
s
u
ch
s
tatic
m
an
ag
em
en
t sy
s
tem
s
:
a.
Un
p
r
o
d
u
ctiv
e
u
s
e
o
f
wo
r
k
tim
e.
Ma
n
ag
er
s
h
av
e
to
en
ter
t
h
e
s
am
e
d
ata
s
ev
er
al
tim
es
to
co
llect
d
ata
f
r
o
m
d
if
f
er
en
t so
u
r
ce
s
an
d
c
o
m
b
in
e
it in
to
s
in
g
le
r
ep
o
r
ts
.
b.
L
ac
k
o
f
r
ea
l
-
tim
e,
r
elev
a
n
t
in
f
o
r
m
atio
n
.
I
t
tak
es
s
o
m
e
t
im
e
to
d
is
tr
ib
u
te
an
d
u
p
d
at
e
in
f
o
r
m
atio
n
th
r
o
u
g
h
o
u
t
th
e
o
r
g
an
izatio
n
.
T
h
e
d
ata
u
p
d
ates
s
lo
wly
in
th
e
s
y
s
tem
,
an
d
i
n
o
r
d
er
t
o
p
r
o
v
id
e
an
ac
c
u
r
ate
ass
es
s
m
en
t o
f
th
e
s
itu
atio
n
,
th
e
m
o
s
t r
ec
en
t c
h
a
n
g
es in
co
m
p
lian
ce
d
ata
m
u
s
t b
e
p
r
o
ce
s
s
e
d
.
c.
L
im
itin
g
ac
ce
s
s
to
ac
c
u
r
ate
an
aly
s
is
.
Facility
m
an
ag
em
en
t r
e
lies
o
n
m
an
a
g
er
s
to
p
er
f
o
r
m
s
u
r
v
eillan
ce
o
f
wh
at
is
g
o
in
g
o
n
in
th
e
f
ac
ilit
y
.
Sin
ce
th
e
m
an
ag
er
s
th
em
s
e
lv
es
ar
e
n
o
t
q
u
ality
m
an
ag
e
r
s
-
th
ey
r
ely
o
n
th
e
l
atter
to
an
aly
ze
an
d
p
r
e
s
en
t
d
ata
th
e
y
ca
n
u
n
d
er
s
tan
d
an
d
r
ea
d
.
I
t
tak
es
a
lo
t
o
f
tim
e
to
cr
ea
te
r
ep
o
r
ts
,
th
er
e
b
y
s
lo
win
g
d
o
wn
th
e
f
ee
d
b
ac
k
p
r
o
ce
s
s
.
d.
Pre
p
ar
in
g
m
o
n
th
ly
r
ep
o
r
ts
f
o
r
m
o
s
t
b
u
s
in
ess
es
is
a
d
u
p
licatio
n
o
f
d
ata.
W
h
en
ca
lc
u
latin
g
d
ata,
it
tak
es
tim
e
f
o
r
m
a
n
ag
er
s
to
s
u
b
m
it r
ep
o
r
ts
to
s
u
p
er
v
is
o
r
s
.
e.
I
n
ef
f
ec
tiv
e
co
m
m
u
n
icatio
n
with
em
p
lo
y
ee
s
.
C
r
ea
tin
g
co
n
n
e
ctio
n
s
with
em
p
lo
y
ee
s
an
d
tr
ain
in
g
p
eo
p
le
is
v
er
y
tim
e
co
n
s
u
m
in
g
.
Q
u
ality
m
an
ag
er
s
s
p
en
d
a
lo
t
o
f
tim
e
o
n
co
m
p
lian
ce
is
s
u
es
with
o
u
t
f
o
cu
s
in
g
o
n
o
th
er
a
ctiv
ities
.
f.
L
ac
k
o
f
d
atab
ases
o
f
d
o
c
u
m
e
n
ted
in
f
o
r
m
atio
n
an
d
as
a
r
es
u
lt,
n
o
a
u
to
m
ated
d
ec
is
io
n
s
u
p
p
o
r
t
s
y
s
tem
.
L
ac
k
o
f
p
r
o
m
p
t
n
o
tific
atio
n
an
d
r
esp
o
n
s
e
to
th
e
f
ac
ts
o
f
d
ev
iatio
n
s
o
f
th
e
v
alu
es
o
f
th
e
p
lan
n
ed
in
d
icato
r
s
.
C
o
n
s
eq
u
en
tly
,
th
e
p
r
o
b
lem
lie
s
in
th
e
lack
o
f
e
f
f
icien
cy
o
f
tr
ad
itio
n
al
q
u
ality
m
an
a
g
em
en
t
s
y
s
tem
s
d
u
e
to
th
e
co
m
p
lex
ity
o
f
r
eg
u
lato
r
y
d
o
cu
m
en
ts
,
s
u
b
jectiv
i
ty
o
f
th
eir
in
ter
p
r
etatio
n
a
n
d
d
ep
en
d
e
n
ce
o
n
t
h
e
h
u
m
an
f
ac
to
r
.
T
h
e
lack
o
f
a
u
to
m
ated
to
o
ls
f
o
r
p
r
o
ce
s
s
in
g
,
an
aly
zin
g
an
d
u
p
d
atin
g
r
e
g
u
lato
r
y
d
o
cu
m
en
ts
lead
s
to
er
r
o
r
s
,
d
elay
s
an
d
in
cr
ea
s
ed
co
s
ts
in
p
r
o
d
u
ctio
n
p
r
o
ce
s
s
es.
T
o
s
o
lv
e
th
is
p
r
o
b
le
m
,
we
p
r
o
p
o
s
e
th
e
in
teg
r
atio
n
o
f
f
o
r
m
al
lan
g
u
ag
es
an
d
n
eu
r
al
n
etwo
r
k
m
o
d
els
,
wh
ich
p
r
o
v
id
e
ac
cu
r
ate
s
tr
u
c
tu
r
in
g
o
f
r
eg
u
lato
r
y
Evaluation Warning : The document was created with Spire.PDF for Python.
I
n
t J E
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&
C
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m
p
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n
g
I
SS
N:
2088
-
8
7
0
8
Mo
d
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in
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q
u
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lity m
a
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a
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men
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ma
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la
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a
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(
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4033
d
ata,
au
to
m
ate
th
ei
r
p
r
o
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s
s
in
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d
i
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cr
ea
s
e
th
e
o
b
jectiv
ity
o
f
d
ec
is
io
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-
m
ak
in
g
in
th
e
q
u
ality
m
an
ag
em
e
n
t
s
y
s
tem
.
2.
T
H
E
I
M
P
O
RT
ANC
E
O
F
B
UIL
D
I
NG
A
F
O
RM
A
L
L
A
NG
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f
o
r
m
al
lan
g
u
ag
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is
tr
ea
ted
a
s
a
s
et
with
all
s
tr
in
g
s
u
n
d
er
a
f
in
ite
n
u
m
b
er
o
f
alp
h
ab
ets.
T
h
e
f
o
r
m
a
l
lan
g
u
ag
e
th
eo
r
y
s
tates
th
at
th
e
s
tu
d
y
o
f
all
f
am
ilies
i
s
d
o
n
e
b
y
f
o
r
m
al
m
eth
o
d
s
.
T
h
is
f
o
r
m
a
l
m
eth
o
d
is
m
ain
ly
u
s
ed
to
d
ev
elo
p
an
d
v
er
if
y
s
o
f
twar
e
an
d
h
ar
d
war
e
s
y
s
tem
s
.
I
t
is
u
s
u
ally
d
escr
ib
ed
f
o
r
f
o
r
m
al
lan
g
u
ag
es
an
d
au
to
m
ata
th
eo
r
y
.
T
y
p
ically
,
f
o
r
m
al
lan
g
u
ag
es
d
ea
l
with
a
s
et
o
f
s
tr
in
g
s
a
n
d
ar
e
d
ef
i
n
ed
i
n
two
s
ets
o
f
r
u
les.
T
h
e
f
ir
s
t
r
u
le
d
ea
ls
with
s
y
n
tax
,
wh
ich
s
p
ec
if
ies
h
o
w
to
u
s
e
s
y
m
b
o
ls
,
wh
ile
th
e
s
ec
o
n
d
r
u
le
d
ea
ls
with
s
em
an
tics
,
wh
ich
tells
th
e
m
ea
n
in
g
o
f
s
y
m
b
o
ls
an
d
leg
al
ex
p
r
ess
io
n
s
[
1
3
]
.
C
o
n
s
tr
u
ctin
g
a
f
o
r
m
al
la
n
g
u
a
g
e
th
at
ch
a
r
ac
ter
izes
n
o
r
m
ativ
e
d
o
c
u
m
en
ts
is
an
im
p
o
r
ta
n
t
to
o
l
f
o
r
en
s
u
r
in
g
ac
cu
r
ac
y
an
d
clar
ity
in
d
escr
ib
in
g
th
e
r
u
les
an
d
r
eq
u
ir
em
en
ts
co
n
tain
e
d
in
n
o
r
m
ativ
e
d
o
cu
m
e
n
ts
.
R
eg
u
lato
r
y
d
o
cu
m
e
n
ts
ar
e
u
s
e
d
in
v
ar
io
u
s
f
ield
s
o
f
ac
tiv
ity
,
f
r
o
m
ju
r
is
p
r
u
d
e
n
ce
to
tech
n
ical
d
o
cu
m
en
tatio
n
,
an
d
o
f
te
n
h
a
v
e
leg
al
s
ig
n
if
ica
n
ce
.
T
h
er
e
f
o
r
e,
th
ey
n
ee
d
to
b
e
wr
itten
in
clea
r
an
d
co
m
p
r
eh
en
s
ib
le
lan
g
u
ag
e
s
o
th
at
u
s
er
s
ca
n
ea
s
ily
u
n
d
er
s
t
an
d
th
e
r
eq
u
ir
e
m
en
ts
th
ey
co
n
tain
.
Ho
wev
er
,
n
o
r
m
ativ
e
d
o
cu
m
en
ts
ar
e
o
f
ten
co
m
p
lex
an
d
co
n
f
u
s
in
g
,
wh
ic
h
m
ak
es
th
em
d
if
f
icu
lt
to
u
n
d
er
s
tan
d
an
d
lead
s
to
er
r
o
r
s
in
th
eir
in
ter
p
r
etatio
n
an
d
ap
p
licatio
n
.
B
u
ild
in
g
a
f
o
r
m
al
lan
g
u
ag
e
allo
ws y
o
u
to
d
e
v
elo
p
a
co
m
m
o
n
lan
g
u
ag
e
to
b
e
u
s
ed
to
d
escr
ib
e
d
o
cu
m
e
n
ts
an
d
estab
lis
h
clea
r
s
y
n
tactic
r
u
les
f
o
r
its
u
s
e.
T
h
is
will
m
ak
e
it
ea
s
ier
f
o
r
th
e
u
s
er
to
u
n
d
e
r
s
tan
d
th
e
r
eq
u
ir
e
m
en
ts
co
n
tain
e
d
in
n
o
r
m
ativ
e
d
o
cu
m
e
n
ts
an
d
r
e
d
u
ce
th
e
lik
elih
o
o
d
o
f
er
r
o
r
s
.
I
n
ad
d
itio
n
,
b
u
ild
in
g
a
f
o
r
m
al
lan
g
u
ag
e
ca
n
h
el
p
in
d
ev
elo
p
in
g
n
ew
r
eg
u
lato
r
y
d
o
cu
m
en
ts
an
d
am
en
d
in
g
e
x
is
tin
g
o
n
es.
W
ith
th
e
lan
g
u
a
g
e,
y
o
u
ca
n
q
u
ick
l
y
id
en
tify
wh
at
c
o
n
ce
p
ts
ar
e
a
lr
ea
d
y
u
s
ed
in
o
th
er
n
o
r
m
ativ
e
d
o
cu
m
en
ts
,
wh
at
s
y
n
tax
r
u
les
ap
p
ly
,
a
n
d
h
o
w
d
if
f
er
e
n
t
r
eq
u
ir
em
en
ts
ar
e
d
escr
ib
ed
.
T
h
is
ca
n
g
r
ea
tly
s
p
ee
d
u
p
t
h
e
p
r
o
ce
s
s
o
f
d
ev
elo
p
in
g
a
n
d
am
en
d
in
g
d
o
cu
m
e
n
ts
[
1
4
]
.
T
h
u
s
,
in
o
r
d
er
to
in
cr
ea
s
e
th
e
s
p
ee
d
o
f
cr
ea
tin
g
d
o
cu
m
en
t
s
an
d
th
e
ac
cu
r
ac
y
o
f
t
h
e
d
ata
co
n
tain
e
d
in
th
em
,
au
t
o
m
ated
d
o
cu
m
e
n
t
m
an
ag
em
en
t
s
y
s
tem
s
ar
e
b
ein
g
ac
tiv
ely
d
ev
elo
p
ed
an
d
wid
ely
u
s
ed
.
T
h
e
d
e
v
elo
p
m
e
n
t
o
f
a
u
n
iv
er
s
al
f
o
r
m
al
lan
g
u
ag
e
will
m
ak
e
it
p
o
s
s
ib
le
to
c
r
ea
te
a
s
y
s
tem
o
f
a
u
to
m
ated
f
o
r
m
atio
n
o
f
d
o
cu
m
e
n
ts
o
f
a
n
y
co
m
p
o
s
itio
n
an
d
p
u
r
p
o
s
e.
3.
B
UI
L
DI
NG
A
F
O
RM
A
L
L
ANG
UAG
E
T
h
e
co
n
s
tr
u
ctio
n
o
f
a
f
o
r
m
al
l
an
g
u
ag
e
ch
ar
ac
ter
izin
g
n
o
r
m
a
tiv
e
d
o
cu
m
e
n
ts
is
an
im
p
o
r
tan
t
to
o
l
f
o
r
en
s
u
r
in
g
ac
cu
r
ac
y
a
n
d
cla
r
ity
in
th
e
d
escr
ip
tio
n
o
f
r
u
les
an
d
r
eq
u
ir
em
e
n
ts
co
n
tain
e
d
in
n
o
r
m
ativ
e
d
o
cu
m
en
ts
.
No
r
m
ativ
e
d
o
cu
m
e
n
ts
ar
e
u
s
ed
in
v
ar
io
u
s
f
ield
s
o
f
ac
tiv
ity
,
f
r
o
m
ju
r
is
p
r
u
d
en
ce
to
tech
n
i
ca
l
d
o
cu
m
en
tatio
n
,
an
d
o
f
ten
h
av
e
leg
al
s
ig
n
if
ica
n
ce
.
T
h
er
ef
o
r
e,
it
is
n
ec
ess
ar
y
th
at
th
e
y
b
e
wr
itten
in
a
clea
r
an
d
u
n
d
er
s
tan
d
a
b
le
lan
g
u
ag
e
s
o
t
h
at
u
s
er
s
ca
n
ea
s
ily
u
n
d
e
r
s
tan
d
th
e
r
e
q
u
ir
em
e
n
t
s
co
n
tain
ed
in
th
e
m
.
Ho
wev
er
,
n
o
r
m
ativ
e
d
o
c
u
m
e
n
ts
ar
e
o
f
ten
c
o
m
p
lex
an
d
co
n
f
u
s
in
g
,
wh
ich
m
ak
es
th
em
d
if
f
icu
lt
to
u
n
d
er
s
tan
d
an
d
lead
s
t
o
er
r
o
r
s
i
n
th
ei
r
in
ter
p
r
etatio
n
an
d
ap
p
licatio
n
.
T
h
e
co
n
s
tr
u
ctio
n
o
f
a
f
o
r
m
al
lan
g
u
a
g
e
m
ak
es
it
p
o
s
s
ib
le
to
d
ev
elo
p
a
s
in
g
le
lan
g
u
ag
e
th
at
will
b
e
u
s
ed
to
d
escr
ib
e
d
o
cu
m
e
n
ts
,
an
d
to
estab
lis
h
clea
r
s
y
n
tactic
r
u
les
f
o
r
its
u
s
e.
T
h
is
will
m
ak
e
it
ea
s
ier
f
o
r
th
e
u
s
er
to
u
n
d
er
s
tan
d
t
h
e
r
eq
u
ir
e
m
en
ts
co
n
tain
ed
in
n
o
r
m
ativ
e
d
o
cu
m
e
n
ts
an
d
r
e
d
u
ce
th
e
lik
elih
o
o
d
o
f
er
r
o
r
s
.
A
f
o
r
m
al
lan
g
u
ag
e
is
co
n
s
id
er
ed
as
a
s
et
with
all
s
tr
in
g
s
wh
ich
ar
e
u
n
d
er
a
f
i
n
ite
n
u
m
b
er
o
f
alp
h
ab
et.
Fo
r
m
al
lan
g
u
a
g
e
th
e
o
r
y
s
tates
th
at
s
tu
d
ies
o
f
all
f
a
m
ilies
o
n
f
o
r
m
al
m
eth
o
d
s
.
T
h
i
s
f
o
r
m
al
m
eth
o
d
is
m
ain
ly
u
s
ed
f
o
r
d
ev
elo
p
in
g
a
n
d
v
er
if
y
in
g
th
e
s
o
f
twar
e
a
n
d
h
ar
d
war
e
s
y
s
tem
s
.
I
t
is
ty
p
ically
d
escr
ib
ed
f
o
r
f
o
r
m
al
lan
g
u
ag
es
an
d
au
to
m
at
a
th
eo
r
y
.
Gen
er
ally
f
o
r
m
al
lan
g
u
ag
es
d
ea
l
with
th
e
s
et
o
f
s
tr
i
n
g
s
an
d
d
ef
i
n
e
d
in
two
s
et
o
f
r
u
les.
T
h
e
f
ir
s
t r
u
le
is
ab
o
u
t sy
n
tax
wh
ich
tells
th
at
h
o
w
to
u
s
e
th
e
s
y
m
b
o
ls
wh
er
ea
s
th
e
s
ec
o
n
d
r
u
le
is
ab
o
u
t sem
an
tics
wh
ich
tells
th
at
m
ea
n
in
g
o
f
th
e
s
y
m
b
o
ls
a
n
d
leg
al
ex
p
r
ess
io
n
s
[
1
5
]
,
[
1
6
]
.
T
h
e
s
y
s
tem
b
ased
o
n
th
e
f
o
r
m
al
lan
g
u
ag
e
is
f
u
n
d
am
en
tall
y
d
if
f
er
e
n
t
f
r
o
m
its
co
u
n
ter
p
a
r
ts
in
th
at
it
im
p
lem
en
ts
a
n
ew
ap
p
r
o
ac
h
i
n
ter
m
s
o
f
d
o
c
u
m
en
tin
g
,
wh
ic
h
co
n
s
is
ts
in
co
n
s
tr
u
ctin
g
th
e
d
o
cu
m
e
n
t
p
lan
f
r
o
m
sp
ec
ial
co
m
p
o
n
en
ts
th
at
ar
e
co
m
p
u
ter
m
o
d
els
o
f
th
e
d
o
c
u
m
en
t'
s
co
n
s
tr
u
ctiv
e
ass
em
b
l
ies.
T
h
is
p
r
o
ce
s
s
is
ca
lled
“
d
o
cu
m
en
t
c
o
n
s
tr
u
ctio
n
”
[
1
7
]
.
Usi
n
g
FL,
y
o
u
ca
n
d
e
s
cr
ib
e
th
e
s
tr
u
ctu
r
e
o
f
alm
o
s
t
an
y
d
o
cu
m
e
n
t.
T
h
e
s
tr
u
ctu
r
e
o
f
t
h
e
o
r
d
er
in
th
e
ab
o
v
e
e
x
am
p
le
in
Fig
u
r
e
1
ca
n
b
e
d
escr
ib
ed
b
y
a
s
et
o
f
t
h
e
f
o
llo
win
g
n
o
n
ter
m
in
al
s
y
m
b
o
ls
o
f
th
e
F
B
u
ild
in
g
a
f
o
r
m
al
lan
g
u
a
g
e
ca
n
h
elp
in
th
e
d
ev
el
o
p
m
en
t
o
f
n
ew
n
o
r
m
ativ
e
d
o
cu
m
en
ts
an
d
am
en
d
m
en
ts
to
ex
is
tin
g
o
n
es.
T
h
e
lan
g
u
ag
e
ca
n
b
e
u
s
ed
to
q
u
ick
ly
d
eter
m
in
e
wh
at
co
n
ce
p
ts
ar
e
alr
ea
d
y
u
s
ed
in
o
th
er
n
o
r
m
ativ
e
d
o
cu
m
e
n
t
s
,
wh
at
s
y
n
tax
r
u
les
ap
p
ly
,
an
d
h
o
w
v
ar
io
u
s
r
eq
u
ir
em
en
ts
ar
e
d
escr
ib
ed
.
T
h
is
ca
n
g
r
ea
tly
s
p
ee
d
u
p
th
e
p
r
o
ce
s
s
o
f
d
ev
elo
p
in
g
an
d
am
en
d
in
g
d
o
cu
m
en
ts
[
1
8
]
.
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
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:
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0
8
8
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8
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I
n
t J E
lec
&
C
o
m
p
E
n
g
,
Vo
l.
15
,
No
.
4
,
Au
g
u
s
t
20
25
:
4
0
3
1
-
4042
4034
Fig
u
r
e
1
.
An
ex
am
p
le
o
f
u
s
in
g
FL
to
d
escr
ib
e
th
e
s
tr
u
ctu
r
e
o
f
a
d
o
c
u
m
en
t
T
h
e
n
o
n
ter
m
in
al
s
y
m
b
o
l
<D
o
cu
m
en
t
1
>
d
e
n
o
tes
th
e
en
tire
d
o
cu
m
e
n
t.
I
t
is
p
ar
t
(
as
a
f
r
ag
m
en
t)
o
f
a
m
o
r
e
co
m
p
lex
d
o
cu
m
e
n
t,
in
d
i
ca
ted
in
th
e
f
ig
u
r
e
b
y
th
e
s
y
m
b
o
l <
Do
cu
m
e
n
t 2
>;
T
h
e
<T
ex
t>
s
y
m
b
o
l
d
e
n
o
tes
a
b
lo
ck
o
f
tex
t
t
h
at
ca
n
in
cl
u
d
e
a
s
et
o
f
all
ch
a
r
ac
ter
s
f
r
o
m
th
e
ASC
I
I
(
o
r
Un
ico
d
e)
tab
le;
T
h
e
s
y
m
b
o
l
<Req
u
is
ites
>
ex
p
r
ess
es
a
r
eq
u
is
ite
s
o
f
a
d
o
cu
m
en
t(
n
am
e
o
f
th
e
p
o
s
itio
n
o
f
th
e
p
er
s
o
n
wh
o
s
ig
n
ed
th
e
d
o
c
u
m
en
t,
s
ig
n
atu
r
e
an
d
tr
an
s
cr
ip
t
o
f
th
e
s
ig
n
atu
r
e)
.
T
h
e
th
r
ee
-
d
o
t
(
.
.
.
)
d
en
o
tes
o
th
er
ch
ar
ac
ter
s
o
f
th
e
FL:
<T
ex
t>,
<E
ast
L
it>,
<<
W
o
r
d
>,
<D
ig
it>,
<Pu
n
ctu
atio
n
Ma
r
k
>,
<E
n
d
in
g
Ma
r
k
>,
<L
etter
>,
<A
r
ith
m
etic>
.
T
h
e
n
o
r
m
ativ
e
d
o
cu
m
en
t c
a
n
b
e
p
r
esen
ted
i
n
C
T
in
th
r
ee
f
o
r
m
s
:
=
(
,
,
)
,
(
1
)
wh
er
e
K
D
oc
is
a
s
et
o
f
c
o
m
p
o
n
en
ts
r
ef
lectin
g
th
e
s
tr
u
ctu
r
al
elem
en
ts
o
f
th
e
d
o
c
u
m
en
ts
;
B
D
oc
is
a
s
et
o
f
lin
k
s
b
etwe
en
th
e
s
tr
u
ctu
r
al
elem
en
ts
o
f
th
e
d
o
cu
m
en
ts
;
N
D
oc
is
a
s
et
o
f
n
o
d
es
lo
ca
ted
at
t
h
e
c
o
n
n
ec
tio
n
p
o
in
ts
o
f
th
e
s
tr
u
ctu
r
al
elem
en
ts
o
f
t
h
e
d
o
cu
m
e
n
ts
.
I
n
tu
r
n
,
th
e
K
D
oc
co
m
p
o
n
e
n
t set c
o
n
tain
s
th
r
ee
s
u
b
s
ets:
=
{
,
,
}
(
2
)
wh
er
e
K
DI
-
s
et
o
f
in
f
o
r
m
atio
n
co
n
v
er
ter
co
m
p
o
n
e
n
ts
;
K
DI
-
s
et
o
f
in
f
o
r
m
atio
n
co
n
v
er
ter
co
m
p
o
n
en
ts
;
K
DZ
-
f
in
al
co
m
p
o
n
en
t
(
“
d
o
c
u
m
en
t
”
).
K
D
oc
to
p
o
lo
g
y
an
d
co
o
r
d
in
ate
s
y
s
tem
co
m
p
o
n
en
ts
ar
e
n
o
t
s
u
p
p
o
r
ted
b
y
S
1
b
o
iler
.
S
1
b
y
law
s
h
av
e
th
e
f
o
llo
win
g
ty
p
es: s
p
an
; sp
an
; lo
g
ic;
zh
o
l; a
r
r
a
y
; a
n
d
d
er
ek
an
d
f
ile
[
1
9
]
–
[
2
1
]
.
C
o
m
p
o
n
en
ts
ar
e
th
e
s
o
u
r
ce
o
f
in
f
o
r
m
atio
n
ab
o
u
t
th
e
K
DI
s
et
as
s
h
o
wn
in
Fig
u
r
e
2
to
s
et
t
h
e
s
o
u
r
ce
in
f
o
r
m
atio
n
an
d
tr
an
s
f
e
r
it
to
o
th
er
co
m
p
o
n
en
ts
o
r
d
ir
ec
tly
to
th
e
d
o
cu
m
en
t.
T
h
e
alg
o
r
ith
m
ic
m
o
d
el
an
d
p
r
o
ce
s
s
o
f
th
e
in
f
o
r
m
atio
n
s
o
u
r
ce
co
m
p
o
n
en
t a
r
e
ch
ar
ac
ter
iz
ed
b
y
t
h
e
f
o
llo
win
g
s
eq
u
en
ce
:
a.
C
o
m
p
o
n
en
t
p
ar
am
eter
v
alu
es
an
d
s
o
u
r
ce
i
n
f
o
r
m
atio
n
to
b
e
i
n
clu
d
ed
i
n
th
e
d
o
cu
m
e
n
t;
b.
T
h
e
co
m
p
o
n
en
t sto
r
es th
e
s
p
ec
if
ied
p
ar
am
eter
v
alu
es a
n
d
s
o
u
r
ce
in
f
o
r
m
atio
n
i
n
s
p
ec
ial
v
ar
iab
les;
c.
T
h
e
co
m
p
o
n
en
t is lin
k
e
d
to
o
th
er
co
m
p
o
n
e
n
ts
(
b
y
m
ea
n
s
o
f
in
f
o
r
m
ati
o
n
co
n
tact
n
1
)
;
d.
T
h
e
d
o
c
u
m
en
t c
r
ea
tio
n
p
r
o
ce
s
s
b
eg
in
s
;
e.
T
h
e
co
m
p
o
n
en
t
tr
a
n
s
m
its
th
e
in
f
o
r
m
atio
n
p
r
e
v
io
u
s
ly
s
to
r
ed
in
th
e
v
ar
iab
le
to
i
n
f
o
c
o
n
ta
ct
n
1
v
ia
in
f
o
ch
an
n
el
a
1
;
f.
T
h
e
co
m
p
o
n
en
ts
co
n
n
ec
ted
to
th
e
co
m
p
o
n
en
t
v
ia
i
n
f
o
co
n
tac
t
n
1
r
ec
eiv
e
th
e
i
n
f
o
r
m
atio
n
,
t
h
en
p
r
o
ce
s
s
it
an
d
s
en
d
it to
t
h
e
d
o
c
u
m
en
t
o
r
s
en
d
it to
th
e
d
o
cu
m
e
n
t im
m
e
d
iately
[
2
2
]
.
Fig
u
r
e
2
.
Gr
a
p
h
ical
r
ep
r
esen
tatio
n
o
f
th
e
s
o
u
r
ce
c
o
m
p
o
n
en
t
Evaluation Warning : The document was created with Spire.PDF for Python.
I
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&
C
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p
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n
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I
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N:
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8
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d
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4035
C
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p
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ts
ar
e
tr
an
s
d
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ce
r
s
o
f
in
f
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m
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n
in
th
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K
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et
a
s
s
h
o
wn
in
Fig
u
r
e
3
f
o
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r
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eiv
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a
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it
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it
to
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m
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ay
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o
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h
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t
“
Do
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m
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o
f
th
e
K
DZ
s
et
as
s
h
o
wn
in
Fig
u
r
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4
is
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s
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to
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et
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s
h
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in
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u
r
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3
is
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m
in
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it a
n
d
to
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o
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m
a
d
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m
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n
t.
Fig
u
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3
.
Gr
a
p
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ic
r
e
p
r
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tatio
n
o
f
th
e
in
f
o
r
m
atio
n
-
co
n
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ter
co
m
p
o
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en
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Fig
u
r
e
4
.
Gr
a
p
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ic
r
e
p
r
esen
tatio
n
o
f
th
e
“
d
o
cu
m
en
t
”
co
m
p
o
n
en
t
I
t
ca
n
also
s
er
v
e
t
o
tr
an
s
f
er
th
e
f
o
r
m
e
d
f
r
a
g
m
en
t
t
o
an
o
th
er
d
o
cu
m
e
n
t.
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n
g
th
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co
m
p
o
n
en
t
m
ak
es
it
p
o
s
s
ib
le
to
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o
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m
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lex
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o
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u
m
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n
s
is
tin
g
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a
n
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m
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o
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ts
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f
r
ag
m
en
ts
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.
T
h
e
“
Do
cu
m
en
t
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c
o
m
p
o
n
en
t
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n
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av
e
o
n
e
o
r
m
o
r
e
in
p
u
t
in
f
o
-
co
n
ta
cts
(
n
1
.
.
.
n
n
)
a
n
d
o
n
e
o
u
tp
u
t
in
f
o
-
co
n
tact
(
n
n
+1
)
.
T
h
u
s
,
th
e
u
s
e
o
f
f
o
r
m
al
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g
u
ag
e
is
o
n
e
o
f
th
e
k
ey
t
o
o
ls
f
o
r
d
ig
itizin
g
th
e
r
eg
u
lato
r
y
en
v
ir
o
n
m
en
t
a
n
d
o
p
tim
izin
g
m
a
n
ag
em
en
t
p
r
o
ce
s
s
es
[
2
3
]
,
[
2
4
]
.
4.
M
O
DE
L
O
F
NE
UR
AL
NE
T
W
O
R
K
F
O
R
C
O
N
VE
RSI
O
N
O
F
W
O
RD
I
N
T
O
M
AT
R
I
X
V
E
CT
O
R
S
T
h
e
b
ag
-
of
-
wo
r
d
s
(
B
o
W
)
m
eth
o
d
r
ep
r
esen
ts
d
o
cu
m
en
ts
as
v
ec
to
r
s
,
wh
er
e
ea
ch
elem
en
t
c
o
r
r
esp
o
n
d
s
to
a
u
n
iq
u
e
wo
r
d
in
th
e
d
ictio
n
ar
y
an
d
th
e
v
alu
e
o
f
th
e
ele
m
en
t
in
d
icate
s
th
e
f
r
e
q
u
en
c
y
o
f
th
at
wo
r
d
in
th
e
d
o
cu
m
e
n
t.
Ho
wev
e
r
,
t
h
is
m
et
h
o
d
d
o
es
n
o
t
ta
k
e
wo
r
d
o
r
d
er
in
to
ac
co
u
n
t,
wh
ich
ca
n
lea
d
t
o
lo
s
s
o
f
co
n
t
ex
t,
as
it
s
im
p
ly
cr
ea
tes
a
“
b
ag
”
o
f
w
o
r
d
s
with
n
o
r
elatio
n
s
h
ip
b
et
wee
n
th
em
.
T
o
im
p
r
o
v
e
c
o
n
te
x
t
co
n
s
id
er
atio
n
,
t
h
e
N
-
g
r
am
m
o
d
el
is
u
s
ed
,
w
h
ich
ex
ten
d
s
B
o
W
b
y
c
o
n
s
id
er
in
g
co
m
b
i
n
atio
n
s
o
f
N
c
o
n
s
ec
u
ti
v
e
wo
r
d
s
.
N
-
g
r
a
m
s
allo
w
th
e
m
o
d
el
t
o
tak
e
in
to
a
cc
o
u
n
t
t
h
e
p
r
o
b
a
b
ilit
y
o
f
a
wo
r
d
'
s
o
cc
u
r
r
en
ce
b
ased
o
n
p
r
e
v
i
o
u
s
wo
r
d
s
,
m
ak
in
g
th
e
r
ep
r
esen
tatio
n
o
f
tex
t
m
o
r
e
co
n
tex
t
s
en
s
itiv
e.
T
h
is
cr
e
ates
a
m
o
r
e
c
o
m
p
lex
b
u
t
also
m
o
r
e
in
f
o
r
m
ativ
e
r
ep
r
esen
tatio
n
o
f
th
e
d
ata,
i
m
p
r
o
v
i
n
g
th
e
m
ac
h
in
e'
s
p
er
ce
p
tio
n
o
f
la
n
g
u
a
g
e.
T
h
e
B
o
W
m
o
d
el
ca
n
b
e
m
ath
em
atica
lly
r
ep
r
esen
ted
as
a
m
atr
ix
,
wh
er
e
th
e
r
o
ws
co
r
r
esp
o
n
d
to
d
o
cu
m
e
n
ts
an
d
th
e
co
lu
m
n
s
to
u
n
i
q
u
e
wo
r
d
s
.
An
ex
a
m
p
le
o
f
b
u
ild
i
n
g
s
u
ch
a
m
at
r
ix
u
s
in
g
B
o
W
is
u
s
u
ally
illu
s
tr
ated
in
a
d
iag
r
a
m
(
e.
g
.
,
Fig
u
r
e
5
)
th
at
v
is
u
alize
s
th
e
d
is
tr
ib
u
ti
o
n
o
f
wo
r
d
s
ac
r
o
s
s
d
o
cu
m
e
n
ts
.
Fig
u
r
e
5
.
Ass
em
b
ly
o
f
th
e
b
a
g
o
f
wo
r
d
s
m
atr
ix
(
b
ag
o
f
wo
r
d
s
)
C
o
m
p
u
tatio
n
-
b
ased
m
o
d
els
s
u
ch
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o
W
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d
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u
g
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im
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ef
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icien
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ar
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u
n
ab
le
t
o
ad
eq
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ately
ac
co
u
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t f
o
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th
e
s
em
an
tic
an
d
s
y
n
tactic
asp
ec
ts
o
f
lan
g
u
ag
e.
T
h
is
lim
itatio
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en
c
o
u
r
ag
es r
esear
ch
er
s
to
d
ev
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o
p
m
o
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e
s
o
p
h
is
ticated
an
d
co
n
tex
t
-
d
ep
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n
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en
t
m
eth
o
d
s
f
o
r
co
n
v
er
tin
g
tex
t
in
t
o
m
a
tr
ices.
T
h
e
cu
r
r
en
t
ap
p
r
o
ac
h
to
n
atu
r
al
lan
g
u
a
g
e
p
r
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ce
s
s
in
g
(
NL
P)
[
2
5
]
m
ak
es
ex
ten
s
iv
e
u
s
e
o
f
v
ec
to
r
-
b
ased
wo
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s
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at
p
lace
wo
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d
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in
a
f
ix
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d
an
d
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ed
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ce
d
m
u
ltid
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en
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io
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s
p
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at
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f
lects
th
e
s
em
an
tic
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elatio
n
s
b
etwe
en
th
em
.
Su
c
h
m
eth
o
d
s
in
clu
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e
W
o
r
d
2
V
ec
an
d
g
lo
b
al
v
ec
to
r
s
f
o
r
wo
r
d
r
ep
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tatio
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(
Glo
Ve
).
W
o
r
d
2
Vec
in
clu
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es
s
k
ip
-
g
r
a
m
an
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co
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u
s
b
a
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f
w
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d
s
(
C
B
OW
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m
o
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els,
wh
ic
h
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ep
r
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t
wo
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as
co
n
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u
o
u
s
v
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s
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wh
er
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th
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d
is
tan
ce
b
etwe
en
v
ec
to
r
s
co
r
r
esp
o
n
d
s
to
th
e
s
em
an
tic
s
im
ilar
ity
o
f
wo
r
d
s
.
T
h
e
Sk
ip
-
Gr
am
m
o
d
e
l
p
r
ed
icts
co
n
tex
tu
al
wo
r
d
s
b
ased
o
n
a
g
iv
en
ce
n
tr
al
wo
r
d
,
wh
er
ea
s
C
B
O
W
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
2
0
8
8
-
8
7
0
8
I
n
t J E
lec
&
C
o
m
p
E
n
g
,
Vo
l.
15
,
No
.
4
,
Au
g
u
s
t
20
25
:
4
0
3
1
-
4042
4036
wo
r
k
s
th
e
o
th
er
way
ar
o
u
n
d
b
y
p
r
ed
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g
th
e
ce
n
tr
al
wo
r
d
f
r
o
m
th
e
co
n
tex
t.
T
h
ese
m
o
d
e
ls
ar
e
tr
ain
ed
u
s
in
g
a
two
-
lay
er
n
eu
r
al
n
etwo
r
k
th
at
o
p
tim
izes
wo
r
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em
b
ed
d
in
g
s
in
s
u
ch
a
way
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s
to
m
in
im
i
ze
th
e
lo
g
ar
ith
m
o
f
th
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er
r
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r
p
r
o
b
a
b
ilit
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in
p
r
ed
i
ctin
g
th
e
co
n
tex
t
o
r
ce
n
tr
al
wo
r
d
.
Fig
u
r
e
6
m
ay
s
h
o
w
an
ar
ch
itectu
r
e
o
r
lo
s
s
m
in
im
izatio
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p
r
o
ce
s
s
th
at
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f
lects
h
o
w
th
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m
o
d
els
ar
e
“
s
tr
etch
ed
”
to
f
it
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p
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b
ab
ilit
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d
is
tr
ib
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tio
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o
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t w
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d
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g
iv
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t
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ce
n
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a
l w
o
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d
.
Fig
u
r
e
6
.
Me
th
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d
f
o
r
co
n
v
er
ti
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g
wo
r
d
s
to
m
atr
ix
v
ec
to
r
s
(
W
o
r
d
2
Vec
)
T
h
e
ad
v
a
n
ce
d
a
g
e
o
f
d
ee
p
le
ar
n
in
g
h
as
g
r
ea
tly
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n
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ce
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an
s
f
o
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s
(
GPT)
.
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h
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s
tate
-
of
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th
e
-
a
r
t
m
o
d
els
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tili
ze
a
tr
an
s
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o
r
m
e
r
ar
ch
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th
at
allo
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to
r
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o
f
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ases
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n
th
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tex
t
o
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s
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a
n
d
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a
s
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ten
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th
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m
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els
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e
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le
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u
n
d
er
s
tan
d
an
d
ac
co
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t
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s
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tic
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tactic
f
ea
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r
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o
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th
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lan
g
u
ag
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wh
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allo
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o
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cc
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ate
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tex
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tili
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b
y
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tex
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f
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f
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to
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ig
h
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elp
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p
tu
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te
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o
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ir
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.
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o
n
th
e
o
th
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d
,
f
o
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o
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p
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el
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s
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g
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am
m
at
ically
co
r
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ec
t
te
x
t.
T
h
ese
m
o
d
els
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ig
n
if
ican
tly
im
p
r
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v
e
lan
g
u
ag
e
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o
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p
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en
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p
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b
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in
to
ac
co
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t
its
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n
tex
tu
al
d
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p
en
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n
cies a
n
d
o
f
f
er
in
g
m
o
r
e
ac
c
u
r
ate
an
d
u
s
e
f
u
l p
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ed
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s
.
(
∆
+
ℎ
)
=
−
∑
ℎ
∙
ℎ
=
0
3
wh
er
e,
W
-
g
r
ad
ien
t
u
p
d
ate
f
o
r
th
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r
ec
u
r
r
en
t
weig
h
t;
h
-
th
e
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ar
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in
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ate;
L
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co
s
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ctio
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t
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th
o
f
th
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in
p
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t
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it;
α
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r
eg
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co
e
f
f
icien
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I
n
o
u
r
an
aly
tical
ap
p
r
o
ac
h
in
d
ig
ital
lin
g
u
i
s
tics
an
d
co
m
p
u
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in
tellig
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ce
,
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im
p
o
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tan
t
co
m
p
o
n
en
t
is
th
e
tr
an
s
f
o
r
m
at
io
n
o
f
r
aw
tex
tu
al
d
ata
in
to
a
f
o
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m
at
t
h
at
ca
n
b
e
ef
f
icien
t
ly
p
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ed
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s
in
g
r
ec
u
r
r
en
t
n
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r
al
n
etwo
r
k
s
(
R
NNs).
T
h
is
tr
an
s
f
o
r
m
atio
n
p
r
o
ce
s
s
is
n
ec
ess
ar
y
b
ec
au
s
e
o
f
th
e
co
m
p
lex
a
nd
d
y
n
am
ic
n
at
u
r
e
o
f
h
u
m
an
lan
g
u
ag
e,
wh
ich
i
n
clu
d
es
a
wea
lth
o
f
s
eq
u
en
tial
an
d
tem
p
o
r
al
d
e
p
en
d
en
cies.
R
NNs
s
er
v
e
as
a
k
ey
to
o
l
f
o
r
a
n
al
y
zin
g
th
ese
d
ep
en
d
en
cies
d
u
e
to
th
eir
a
b
ilit
y
to
r
e
m
em
b
er
an
d
in
co
r
p
o
r
ate
p
r
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u
s
in
f
o
r
m
ati
o
n
wh
ile
p
r
o
ce
s
s
in
g
cu
r
r
en
t
d
ata.
T
h
e
m
em
o
r
y
an
d
co
n
tex
t
p
r
eser
v
atio
n
m
ec
h
an
is
m
s
p
r
esen
t
in
R
NNs
allo
w
m
o
d
els
to
ca
p
tu
r
e
an
d
an
aly
ze
s
eq
u
en
ce
s
o
f
wo
r
d
s
an
d
p
h
r
ases
in
tex
t,
m
ak
in
g
th
em
id
ea
l
f
o
r
n
atu
r
al
lan
g
u
a
g
e
p
r
o
ce
s
s
in
g
(
NL
P)
task
s
.
As
a
r
esu
lt,
m
ac
h
in
e
lear
n
in
g
an
d
NL
P
b
r
id
g
e
th
e
h
u
m
an
ities
f
ield
o
f
la
n
g
u
a
g
e
lear
n
in
g
with
m
o
d
er
n
d
ig
ita
l
tech
n
o
lo
g
ies,
en
a
b
lin
g
co
m
p
lex
task
s
s
u
ch
as
m
ac
h
in
e
tr
an
s
latio
n
,
s
p
ee
c
h
r
e
co
g
n
itio
n
,
an
d
a
u
to
m
atic
tex
t
s
u
m
m
ar
izatio
n
.
T
h
e
s
y
s
tem
s
en
ter
p
r
is
e
b
eg
in
s
with
a
b
asic
s
tep
-
th
e
to
k
en
izatio
n
p
r
o
ce
s
s
.
T
h
is
a
lg
o
r
ith
m
ic
m
ec
h
an
is
m
s
lices
r
aw
tex
t
in
to
a
s
er
ies
o
f
d
is
cr
ete
s
y
m
b
o
ls
-
wo
r
d
s
,
p
h
r
ases
,
o
r
ch
ar
ac
te
r
s
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th
at
ac
t
as
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m
ic
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its
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f
o
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m
i
n
g
t
h
e
b
u
ild
in
g
b
lo
ck
s
o
f
t
h
e
u
p
co
m
in
g
d
i
g
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tr
an
s
f
o
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.
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b
s
eq
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en
tl
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th
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to
k
en
s
ar
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f
u
r
th
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r
e
f
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u
s
in
g
n
o
r
m
a
l
izatio
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tech
n
iq
u
es,
in
clu
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in
g
lem
m
atiza
tio
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to
s
ep
ar
ate
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d
s
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to
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n
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er
ly
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n
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en
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p
r
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v
id
e
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h
o
m
o
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en
e
o
u
s
in
p
u
t
lan
d
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ap
e
th
at
m
itig
ates
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o
is
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d
r
ed
u
n
d
a
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cy
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er
e
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y
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ar
in
g
th
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tex
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ata
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ig
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tal
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.
T
h
is
th
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f
r
am
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k
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ep
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ts
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n
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p
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d
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im
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le
s
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le
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u
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en
co
d
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g
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d
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en
s
in
to
a
m
u
ltid
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en
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v
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t
o
r
s
p
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e.
R
ath
er
th
a
n
s
im
p
ly
c
o
n
v
er
tin
g
tex
t
i
n
to
n
u
m
b
er
s
,
t
h
is
m
eth
o
d
cr
ea
tes
a
m
u
ltid
im
en
s
io
n
al
r
e
p
r
esen
ta
tio
n
th
at
ca
p
tu
r
es
co
m
p
le
x
p
a
tter
n
s
o
f
s
em
an
tics
Evaluation Warning : The document was created with Spire.PDF for Python.
I
n
t J E
lec
&
C
o
m
p
E
n
g
I
SS
N:
2088
-
8
7
0
8
Mo
d
ern
iz
in
g
q
u
a
lity m
a
n
a
g
e
men
t wi
th
fo
r
ma
l
la
n
g
u
a
g
es
a
n
d
n
eu
r
a
l
n
etw
o
r
ks
(
I
r
b
u
la
t U
tep
b
erg
en
o
v
)
4037
an
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s
y
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tax
th
at
ar
e
i
n
ac
ce
s
s
ib
le
at
th
e
lev
el
o
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in
d
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d
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al
lin
g
u
is
tic
u
n
its
.
B
y
u
s
in
g
m
eth
o
d
s
s
u
ch
as
W
o
r
d
2
Vec
,
Glo
Ve,
an
d
Fas
tTe
x
t,
an
d
tr
ain
in
g
m
o
d
els
o
n
la
r
g
e
am
o
u
n
ts
o
f
tex
t
d
ata,
it
is
p
o
s
s
ib
le
to
cr
ea
te
v
ec
to
r
s
p
ac
es
th
at
ac
c
u
r
ately
ca
p
tu
r
e
th
e
s
em
an
tic
r
elatio
n
s
h
ip
s
an
d
s
y
n
tactic
n
u
an
c
es
o
f
wo
r
d
s
.
As
a
r
esu
lt,
wo
r
d
s
with
s
im
ilar
m
ea
n
in
g
s
ar
e
p
lace
d
clo
s
e
to
g
eth
er
in
t
h
is
s
p
ac
e,
cr
ea
tin
g
a
m
o
r
e
d
et
ailed
r
ep
r
esen
tatio
n
o
f
th
e
lan
g
u
ag
e
a
n
d
its
f
ea
tu
r
e
s
.
5.
I
M
P
L
E
M
E
NT
A
T
I
O
N
O
F
T
H
E
P
RO
CE
S
SI
N
G
P
RO
G
R
AM
Div
in
g
in
to
th
e
p
r
o
p
o
s
ed
s
o
p
h
is
ticated
s
o
f
twar
e
d
ev
elo
p
m
en
t
m
o
d
u
le,
t
h
e
p
r
o
g
r
am
is
ca
r
ef
u
lly
b
u
ilt
ar
o
u
n
d
th
e
u
s
e
o
f
c
o
m
p
lex
d
o
cu
m
en
t
p
r
o
ce
s
s
in
g
s
y
s
tem
an
d
th
e
p
o
te
n
tial
o
f
r
ec
u
r
r
e
n
t
n
eu
r
al
n
etwo
r
k
s
,
b
ein
g
th
e
co
r
e
alg
o
r
ith
m
to
d
r
iv
e
a
co
n
v
er
s
ati
o
n
al
in
tellig
en
t
s
y
s
t
em
.
C
o
d
eb
ase,
as
a
s
y
m
b
o
l
o
f
ad
v
an
ce
d
lib
r
ar
y
an
d
in
f
o
r
m
atio
n
s
cien
ce
,
c
o
m
b
in
es
in
ter
ac
tiv
e
q
u
er
y
in
g
ca
p
ab
ilit
ies
o
n
u
p
lo
ad
e
d
d
o
cu
m
en
ts
u
s
in
g
a
s
o
p
h
is
ticated
n
eu
r
al
n
etwo
r
k
ar
ch
itectu
r
e
to
an
aly
ze
d
o
c
u
m
en
ts
an
d
cr
ea
te
a
clea
r
,
s
en
s
itiv
e
p
r
o
ce
s
s
in
g
s
y
s
tem
f
o
r
s
em
an
tic
in
f
o
r
m
a
tio
n
r
etr
iev
al.
T
h
e
r
ec
u
r
r
e
n
t
n
eu
r
al
n
etwo
r
k
,
em
b
ed
d
ed
at
th
e
h
ea
r
t
o
f
A
I
ad
v
an
ce
s
,
is
b
ec
o
m
in
g
th
e
u
n
d
er
ly
in
g
co
m
p
u
tatio
n
al
ar
ch
it
ec
tu
r
e
f
o
r
c
r
ea
tin
g
in
ter
ac
tiv
e
ex
p
er
ie
n
ce
s
f
r
o
m
s
tatic
tex
tu
al
d
ata
e
n
ca
p
s
u
lat
ed
in
u
p
l
o
ad
ed
d
o
cu
m
en
ts
.
T
h
e
p
r
o
g
r
am
,
b
ased
o
n
a
s
o
p
h
is
ticated
s
o
f
twar
e
d
ev
elo
p
m
e
n
t m
o
d
u
le,
h
as b
ee
n
ca
r
ef
u
lly
d
esig
n
e
d
as a
n
in
ter
f
ac
e
b
etwe
en
th
e
h
u
m
a
n
u
s
er
an
d
a
v
ast o
ce
an
o
f
g
u
id
ed
in
f
o
r
m
atio
n
to
p
er
s
u
ad
e
h
im
to
u
n
co
v
er
f
r
o
m
th
e
d
ep
th
s
o
f
co
m
p
r
e
h
en
s
iv
e
d
o
c
u
m
e
n
t
d
ata.
B
y
ad
o
p
tin
g
th
e
s
k
ill
o
f
R
NN,
th
e
s
y
s
tem
aim
s
to
p
r
o
m
o
te
an
in
tellig
en
t,
co
m
p
r
eh
en
s
i
b
le
co
m
m
u
n
icatio
n
m
ec
h
an
is
m
ca
p
ab
le
o
f
d
ec
o
d
in
g
an
d
u
n
d
er
s
tan
d
in
g
th
e
s
e
m
an
tics
twis
ted
in
th
e
tex
tu
a
l
co
r
n
er
s
o
f
ea
ch
d
o
cu
m
e
n
t,
an
d
r
etr
iev
i
n
g
ac
c
u
r
ate
in
f
o
r
m
a
tio
n
in
r
esp
o
n
s
e
to
u
s
er
q
u
er
ies.T
h
e
r
ec
u
r
r
e
n
t
n
eu
r
al
n
etwo
r
k
alg
o
r
ith
m
u
s
ed
in
th
e
p
r
o
g
r
am
is
s
h
o
wn
Fig
u
r
e
7.
Fig
u
r
e
7
.
Alg
o
r
ith
m
f
o
r
p
r
o
ce
s
s
in
g
a
f
ile
th
r
o
u
g
h
a
tex
t i
n
p
u
t n
eu
r
al
n
etwo
r
k
T
h
e
r
ec
u
r
r
e
n
t
n
eu
r
al
n
etwo
r
k
is
an
ev
o
lu
tio
n
ar
y
s
tep
in
th
e
f
ield
o
f
d
ee
p
lear
n
in
g
alg
o
r
ith
m
s
u
n
iq
u
ely
ad
ap
te
d
to
r
ec
o
g
n
ize
an
d
d
ec
ip
h
er
p
atter
n
s
in
s
eq
u
en
tial
d
ata,
m
ak
i
n
g
it
u
n
s
u
r
p
a
s
s
ed
f
o
r
p
r
o
ce
s
s
in
g
an
d
p
r
e
d
ictin
g
tex
t
s
eq
u
en
ce
s
.
T
h
e
ar
ch
itectu
r
e
o
f
a
r
ec
u
r
r
e
n
t
n
eu
r
al
n
etwo
r
k
is
ch
ar
ac
te
r
ized
b
y
its
cy
clic
n
eu
r
al
co
n
n
ec
tio
n
s
t
h
at
allo
w
in
f
o
r
m
atio
n
to
f
lo
w
in
a
lo
o
p
,
allo
win
g
th
e
m
o
d
el
to
m
ain
ta
in
an
in
ter
n
al
s
tate
th
at
r
ef
lects
th
e
ef
f
ec
ts
o
f
p
r
e
v
io
u
s
ly
en
c
o
u
n
te
r
ed
d
ata
p
o
in
ts
.
T
h
is
f
ea
tu
r
e
g
iv
es
t
h
e
r
ec
u
r
r
en
t
n
e
u
r
al
n
etwo
r
k
th
e
ab
ilit
y
to
s
to
r
e
h
is
to
r
ical
i
n
f
o
r
m
atio
n
an
d
estab
lis
h
im
p
o
r
tan
t
r
elatio
n
s
h
ip
s
with
th
e
s
eq
u
en
ce
,
m
ak
i
n
g
it
m
o
r
e
im
p
o
r
tan
t f
o
r
task
s
s
u
ch
as n
atu
r
al
lan
g
u
a
g
e
an
aly
s
is
a
n
d
tim
e
s
er
ies an
aly
s
is
.
I
n
ac
tio
n
,
o
u
r
r
ec
u
r
r
e
n
t
n
eu
r
a
l
n
etwo
r
k
s
o
f
twar
e
g
o
es
th
r
o
u
g
h
a
s
er
ies
o
f
co
m
p
lex
s
tep
s
,
g
r
ad
u
ally
C
o
n
v
er
tin
g
u
s
er
-
s
u
p
p
lied
d
o
c
u
m
en
ts
in
to
a
co
h
er
en
t,
q
u
er
y
-
r
esp
o
n
s
iv
e
s
y
s
tem
.
T
h
e
p
ip
el
in
e
b
eg
in
s
with
th
e
p
r
o
ce
s
s
in
g
s
tag
e,
wh
er
e
th
e
f
u
n
ctio
n
”
g
et_
d
o
c_
tex
t
”
e
n
s
u
r
es
th
at
r
aw
tex
t
is
r
em
o
v
ed
f
r
o
m
th
e
u
p
lo
a
d
ed
tex
t
f
iles
.
Su
b
s
eq
u
en
tly
,
s
eg
m
en
tat
io
n
o
f
tex
t
i
n
to
m
a
n
ag
ea
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te
x
t
ch
u
n
k
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ac
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ch
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n
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n
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w
h
ich
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as
a
p
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to
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ev
elo
p
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er
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b
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o
f
d
ata
r
ea
d
y
f
o
r
n
eu
r
al
co
n
s
u
m
p
tio
n
.
Af
ter
au
th
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ets
to
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m
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Fig
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e
8.
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Fig
u
r
e
8
.
Ma
in
p
ag
e
o
f
th
e
p
r
o
g
r
am
T
u
r
n
in
g
to
e
m
b
ed
d
in
g
,
th
e
c
o
r
e
o
f
o
u
r
s
y
s
tem
'
s
in
f
o
r
m
atio
n
a
l
u
n
d
er
s
tan
d
in
g
lies
in
th
e
s
o
p
h
is
ticated
tex
t
em
b
ed
d
in
g
tec
h
n
iq
u
es
ad
o
p
ted
to
g
i
v
e
m
ea
n
i
n
g
t
o
tex
t
s
eg
m
en
ts
.
I
n
ess
en
ce
,
with
lib
r
ar
y
an
d
in
f
o
r
m
atics,
th
e
d
ev
ice
in
te
g
r
ates
th
e
h
u
g
g
in
g
Face
lib
r
a
r
y
to
g
en
e
r
ate
tr
ain
in
g
em
b
ed
d
in
g
s
u
s
in
g
th
e
“
h
k
u
n
l
p
/in
s
tr
u
cto
r
-
xl
”
m
o
d
el,
ev
id
en
ce
o
f
an
em
er
g
i
n
g
m
ac
h
in
e
lear
n
in
g
in
ter
f
ac
e
th
at
ex
ten
d
s
th
e
s
em
an
tic
u
n
d
er
s
tan
d
i
n
g
o
f
th
e
n
eu
r
al
n
etwo
r
k
.
T
h
ese
e
m
b
ed
d
in
g
s
,
w
h
ich
ar
e
n
eu
r
al
r
ep
r
esen
tatio
n
s
o
f
tex
t,
cl
o
s
e
th
e
g
ap
b
etwe
en
ce
n
tr
al
s
u
b
lin
g
u
al
s
tr
u
ctu
r
es
an
d
a
s
tr
u
ctu
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ed
q
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an
titativ
e
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n
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er
s
tan
d
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g
o
f
th
e
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r
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ce
s
s
in
g
ca
p
ab
ilit
ies
o
f
a
r
ec
u
r
r
e
n
t
n
eu
r
al
n
etwo
r
k
.
I
n
th
e
lef
t
win
d
o
w
we
ca
n
im
p
o
r
t
th
e
d
esire
d
f
ile,
f
o
r
th
is
p
u
r
p
o
s
e
we
s
elec
t
th
e
d
esire
d
f
ile
in
th
e
win
d
o
w
th
at
ap
p
ea
r
s
b
y
click
in
g
o
n
th
e
b
u
tto
n
”
C
h
o
o
s
e
f
ile
”
.
I
n
th
e
win
d
o
w
th
at
o
p
en
s
,
s
elec
t
th
e
d
esire
d
f
ile
an
d
im
p
o
r
t
it.
Hav
in
g
s
elec
ted
th
e
f
ile
we
n
ee
d
,
click
th
e
“
Op
en
”
b
u
tto
n
an
d
wait
f
o
r
it
to
l
o
ad
.
Af
te
r
lo
ad
i
n
g
,
it
is
d
is
p
lay
ed
th
at
it
is
lo
ad
ed
in
o
u
r
p
r
o
g
r
am
.
On
ce
a
g
ain
,
we
ch
ec
k
an
d
p
r
ess
th
e
b
u
tto
n
“
C
r
ea
te
d
ata
”
as sh
o
wn
in
Fig
u
r
e
9
.
T
h
e
n
th
e
p
r
o
ce
s
s
in
g
o
f
th
e
r
esu
lt b
e
g
i
n
s
.
Fig
u
r
e
9
.
E
d
itin
g
im
p
o
r
ted
f
iles
I
n
o
u
r
q
u
est
to
im
p
r
o
v
e
th
e
d
ialo
g
s
y
s
tem
,
th
e
p
r
o
g
r
am
ac
h
iev
es
s
ig
n
if
ican
t
s
u
cc
ess
b
y
cr
ea
tin
g
a
co
n
tex
t
-
awa
r
e
an
d
s
ea
m
less
n
etwo
r
k
o
f
i
n
ter
ac
tio
n
s
.
A
co
n
v
er
s
atio
n
r
etr
ie
v
al
ch
ain
b
ased
o
n
th
e
L
ar
g
e
L
an
g
u
ag
e
Mo
d
el
an
d
u
tili
zin
g
th
e
Hu
g
g
in
g
Face
Hu
b
m
o
d
el,
in
clu
d
i
n
g
t
h
e
“
Flan
-
T
5
E
x
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Stre
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ter
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ith
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lify
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p
le
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co
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tatio
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ce
s
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r
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etwo
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f
er
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t
h
e
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ilit
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ea
s
ily
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er
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d
d
is
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s
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o
c
u
m
en
t
c
o
n
ten
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y
co
m
b
in
in
g
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o
p
h
is
ticated
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ac
h
in
e
lear
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g
al
g
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r
ith
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s
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h
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n
tu
itiv
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h
u
m
a
n
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ter
ac
tio
n
p
at
ter
n
s
,
th
e
r
ec
u
r
r
en
t
n
eu
r
al
n
etwo
r
k
in
t
h
e
L
ib
r
a
r
y
an
d
I
n
f
o
r
m
atio
n
Scien
ce
s
y
s
tem
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o
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ly
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em
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ata
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r
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g
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tatis
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a
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it
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to
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ic
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d
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tellig
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AI
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Evaluation Warning : The document was created with Spire.PDF for Python.
I
n
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&
C
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I
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2088
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8
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0
8
Mo
d
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q
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4039
th
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ip
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e.
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d
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r
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t th
e
m
as sh
o
wn
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Fig
u
r
e
10
.
Fig
u
r
e
10
.
Fin
d
in
g
i
n
co
n
s
is
ten
cies in
th
e
d
o
cu
m
e
n
t
On
ce
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e
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ata
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as
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ee
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lo
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d
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to
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e
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izatio
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th
e
n
ex
t
cr
itical
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o
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t
f
o
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v
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s
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n
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ar
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f
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th
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lly
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r
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at
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izatio
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r
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ter
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ated
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ar
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o
wn
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Fig
u
r
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1
1
.
Fig
u
r
e
1
1
.
Ma
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k
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g
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d
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cy
in
p
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ce
s
s
in
g
Evaluation Warning : The document was created with Spire.PDF for Python.
I
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2
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I
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15
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g
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4040
T
h
e
d
o
c
u
m
en
t c
o
n
tain
s
th
e
f
o
l
lo
win
g
er
r
o
r
s
:
a.
T
h
e
b
eg
in
n
in
g
s
o
f
th
e
au
t
h
o
r
o
f
th
e
d
o
cu
m
e
n
t a
r
e
n
o
t c
o
r
r
ec
t;
b.
T
h
e
d
ates
o
f
th
e
ap
p
licatio
n
ar
e
in
co
r
r
ec
t.
T
h
e
b
o
d
y
o
f
th
e
ap
p
licatio
n
s
tates
a
leav
e
o
f
ab
s
en
ce
f
r
o
m
Ma
y
2
0
,
2
0
2
4
to
J
u
n
e
1
4
,
2
0
2
3
(
i.e
.
,
th
e
e
n
d
d
ate
o
f
th
e
leav
e
o
f
ab
s
en
ce
is
b
ef
o
r
e
th
e
s
tar
t
d
ate)
.
I
n
ad
d
itio
n
,
at
th
e
e
n
d
o
f
th
e
s
tatem
en
t,
th
e
d
eliv
er
y
d
ate
is
p
r
o
p
o
s
ed
as
Ma
y
2
1
,
2
0
2
4
,
wh
ich
also
d
o
es
n
o
t
ag
r
ee
with
th
e
en
d
d
ate
o
f
th
e
le
av
e
in
2
0
2
3
)
.
Af
ter
p
r
o
ce
s
s
in
g
all
th
e
lis
ted
er
r
o
r
s
we
will
g
et
a
f
u
lly
p
r
o
ce
s
s
ed
d
o
cu
m
en
t
at
th
e
o
u
tp
u
t.
W
h
en
co
m
p
ar
in
g
it
is
wo
r
t
h
ch
ec
k
in
g
th
e
co
r
r
ec
tio
n
s
as
s
h
o
wn
in
Fig
u
r
e
1
2
.
W
e
ca
n
s
ee
th
e
ch
an
g
es
m
ar
k
e
d
ac
co
r
d
in
g
l
y
.
E
ac
h
co
r
r
ec
tio
n
h
as
b
ee
n
m
ad
e
w
ith
lo
g
ical
a
n
d
ch
r
o
n
o
l
o
g
ical
co
n
s
is
ten
cy
in
m
in
d
,
wh
ich
h
elp
s
av
o
id
an
y
co
n
tr
ad
ictio
n
s
in
th
e
f
in
al
v
er
s
io
n
.
T
h
e
in
teg
r
atio
n
o
f
ar
tific
ial
n
e
u
r
al
n
etwo
r
k
s
o
p
e
n
s
u
p
n
ew
h
o
r
izo
n
s
in
ad
ap
ta
b
ilit
y
an
d
im
p
r
o
v
es
th
e
ef
f
icien
cy
o
f
p
r
o
d
u
ctio
n
s
y
s
t
em
s
.
Du
e
t
o
th
ei
r
ab
ilit
y
to
l
ea
r
n
,
a
n
aly
ze
lar
g
e
am
o
u
n
ts
o
f
d
ata,
s
ea
r
ch
f
o
r
h
id
d
en
d
e
p
en
d
e
n
cies,
an
d
p
er
f
o
r
m
p
r
e
d
ictiv
e
ca
lcu
latio
n
s
in
r
ea
l
tim
e,
th
ey
en
s
u
r
e
th
e
m
o
s
t
ac
cu
r
ate
an
d
tim
ely
m
an
ag
em
e
n
t
d
ec
is
io
n
s
.
T
h
u
s
,
ar
tific
ial
n
eu
r
al
n
etwo
r
k
tech
n
o
lo
g
ies
f
o
r
m
th
e
f
o
u
n
d
a
tio
n
f
o
r
b
u
ild
in
g
in
tellig
en
t,
s
elf
-
ad
ap
tin
g
,
an
d
h
ig
h
ly
r
eliab
le
c
o
n
tr
o
l sy
s
tem
s
in
m
o
d
er
n
in
d
u
s
tr
y
.
Fig
u
r
e
12
.
C
o
r
r
ec
ted
o
u
tp
u
t
v
er
s
io
n
o
f
th
e
d
o
c
u
m
en
t
6.
CO
NCLU
SI
O
N
T
h
e
p
r
o
p
o
s
ed
s
o
lu
tio
n
is
to
in
teg
r
ate
f
o
r
m
al
lan
g
u
ag
es
an
d
n
eu
r
al
n
etwo
r
k
tech
n
o
lo
g
ies
in
to
q
u
ality
m
an
ag
em
en
t
s
y
s
tem
s
.
T
h
e
u
s
e
o
f
f
o
r
m
al
lan
g
u
ag
es
allo
ws
s
tan
d
ar
d
izin
g
an
d
clea
r
ly
s
tr
u
ctu
r
in
g
r
eg
u
lato
r
y
d
o
cu
m
e
n
ts
,
elim
in
atin
g
am
b
i
g
u
ities
an
d
r
ed
u
cin
g
th
e
p
r
o
b
ab
ilit
y
o
f
er
r
o
r
s
.
I
m
p
lem
en
t
atio
n
o
f
r
ec
u
r
r
e
n
t
n
eu
r
al
n
etwo
r
k
s
(
R
NN)
p
r
o
v
id
es
au
to
m
ated
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aly
s
is
o
f
d
o
cu
m
en
ts
,
id
en
tific
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n
o
f
d
is
cr
ep
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cies
an
d
o
p
tim
izatio
n
o
f
m
a
n
ag
em
e
n
t
d
ec
is
io
n
s
.
T
h
is
co
m
b
in
atio
n
o
f
tech
n
o
l
o
g
ies
h
elp
s
to
im
p
r
o
v
e
q
u
ality
co
n
tr
o
l
ef
f
icien
cy
,
r
e
d
u
ce
r
elian
ce
o
n
h
u
m
an
er
r
o
r
an
d
ac
ce
l
er
ate
r
eg
u
lato
r
y
u
p
d
ate
s
,
m
ak
in
g
th
e
q
u
ality
m
an
ag
em
en
t sy
s
tem
m
o
r
e
tr
an
s
p
ar
en
t,
ad
ap
tiv
e
an
d
p
r
o
d
u
cti
v
e.
T
h
e
s
y
s
tem
d
ev
elo
p
ed
o
n
t
h
e
b
asis
o
f
th
e
f
o
r
m
al
lan
g
u
ag
e
d
if
f
er
s
f
r
o
m
its
an
al
o
g
u
es
b
y
im
p
lem
en
tin
g
a
n
ew
a
p
p
r
o
ac
h
to
d
o
cu
m
e
n
tin
g
,
wh
ich
c
o
n
s
i
s
ts
in
f
o
r
m
in
g
th
e
d
o
c
u
m
en
t
s
ch
em
e
f
r
o
m
s
p
ec
ial
co
m
p
o
n
en
ts
,
wh
ich
ar
e
co
m
p
u
ter
m
o
d
els
o
f
s
tr
u
ct
u
r
al
el
em
en
ts
o
f
th
e
d
o
cu
m
en
t.
T
h
i
s
p
r
o
ce
s
s
is
ca
lled
“d
o
cu
m
e
n
t
co
n
s
tr
u
ctio
n
”
.
Usi
n
g
a
f
o
r
m
al
lan
g
u
a
g
e
f
o
r
n
o
r
m
ativ
e
d
o
cu
m
e
n
ts
h
as
m
an
y
a
d
v
an
tag
es.
Firstl
y
,
it
r
ed
u
ce
s
th
e
p
o
s
s
ib
ilit
y
o
f
d
if
f
e
r
en
t
in
ter
p
r
etatio
n
s
an
d
in
ter
p
r
etatio
n
s
o
f
th
e
d
o
c
u
m
en
t,
wh
ich
av
o
id
s
v
ar
i
o
u
s
u
n
d
esira
b
le
c
o
n
s
eq
u
en
ce
s
,
s
u
ch
as
co
n
f
licts
,
leg
al
er
r
o
r
s
,
lawsu
its
,
etc.
Seco
n
d
ly
,
t
h
e
f
o
r
m
al
lan
g
u
ag
e
s
im
p
lifie
s
th
e
p
r
o
ce
s
s
o
f
cr
ea
tin
g
an
d
m
ak
in
g
ch
an
g
es
to
n
o
r
m
ativ
e
d
o
cu
m
e
n
ts
,
s
in
ce
it
h
as
a
s
tr
ict
lo
g
ical
s
tr
u
ctu
r
e
an
d
f
o
r
m
at,
wh
ich
m
ak
es
it
p
o
s
s
ib
le
to
au
t
o
m
ate
th
e
p
r
o
ce
s
s
o
f
ch
ec
k
in
g
a
d
o
cu
m
e
n
t
f
o
r
co
m
p
lian
ce
with
n
o
r
m
s
an
d
r
u
les.
T
h
ir
d
ly
,
th
e
u
s
e
o
f
a
f
o
r
m
al
lan
g
u
ag
e
o
f
n
o
r
m
ativ
e
d
o
cu
m
en
ts
in
cr
ea
s
es
th
e
ef
f
icien
cy
o
f
g
o
v
er
n
m
e
n
t
b
o
d
ies,
s
in
ce
th
is
lan
g
u
ag
e
allo
ws
im
p
r
o
v
in
g
th
e
p
r
o
ce
s
s
o
f
r
eg
u
latin
g
p
u
b
lic
r
elatio
n
s
an
d
en
s
u
r
in
g
m
o
r
e
ef
f
ec
tiv
e
p
r
o
tectio
n
o
f
citizen
s
'
r
ig
h
ts
an
d
f
r
ee
d
o
m
s
.
T
h
e
r
esu
lts
o
f
th
e
s
tu
d
y
em
p
h
asize
th
e
im
p
o
r
tan
ce
o
f
f
o
r
m
al
lan
g
u
a
g
es
an
d
n
eu
r
al
n
etwo
r
k
s
in
in
d
u
s
tr
ial
au
to
m
atio
n
.
T
h
r
o
u
g
h
th
e
u
s
e
o
f
f
o
r
m
al
lan
g
u
ag
es,
th
e
p
o
s
s
ib
ilit
ies
o
f
o
p
t
im
izin
g
p
r
o
d
u
ctio
n
p
r
o
ce
s
s
es
an
d
h
ar
m
o
n
izin
g
s
tan
d
ar
d
s
in
cr
ea
s
e.
T
h
e
in
teg
r
atio
n
o
f
a
r
tific
ial
n
eu
r
al
n
et
wo
r
k
s
in
cr
ea
s
es
th
e
ef
f
icien
cy
o
f
m
an
u
f
ac
tu
r
i
n
g
p
r
o
ce
s
s
es a
n
d
r
ed
u
ce
s
th
e
d
e
p
en
d
en
ce
o
n
th
e
h
u
m
an
f
ac
to
r
.
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