Central
ah
531 author per 10,000
74 dialect per 10,000
the
453 author per 10,000
565 dialect per 10,000
tae
305 author per 10,000
211 dialect per 10,000
her
261 author per 10,000
46 dialect per 10,000
and
174 author per 10,000
94 dialect per 10,000
she
157 author per 10,000
56 dialect per 10,000
in
157 author per 10,000
147 dialect per 10,000
a
157 author per 10,000
266 dialect per 10,000
it
157 author per 10,000
116 dialect per 10,000
o
148 author per 10,000
183 dialect per 10,000
that
104 author per 10,000
106 dialect per 10,000
wis
104 author per 10,000
96 dialect per 10,000
s
104 author per 10,000
32 dialect per 10,000
ma
96 author per 10,000
52 dialect per 10,000
as
87 author per 10,000
59 dialect per 10,000
for
87 author per 10,000
47 dialect per 10,000
wi
87 author per 10,000
67 dialect per 10,000
me
87 author per 10,000
40 dialect per 10,000
aw
87 author per 10,000
40 dialect per 10,000
ower
87 author per 10,000
19 dialect per 10,000
time
78 author per 10,000
18 dialect per 10,000
is
78 author per 10,000
58 dialect per 10,000
m
78 author per 10,000
5 dialect per 10,000
an
70 author per 10,000
224 dialect per 10,000
be
70 author per 10,000
48 dialect per 10,000
awmaist
70 author per 10,000
0 dialect per 10,000
had
70 author per 10,000
22 dialect per 10,000
evelynn
70 author per 10,000
0 dialect per 10,000
fae
61 author per 10,000
26 dialect per 10,000
even
61 author per 10,000
9 dialect per 10,000
at
61 author per 10,000
59 dialect per 10,000
t
52 author per 10,000
3 dialect per 10,000
oot
52 author per 10,000
40 dialect per 10,000
ve
52 author per 10,000
4 dialect per 10,000
we
52 author per 10,000
34 dialect per 10,000
on
52 author per 10,000
54 dialect per 10,000
aboot
52 author per 10,000
29 dialect per 10,000
now
52 author per 10,000
2 dialect per 10,000
like
52 author per 10,000
29 dialect per 10,000
where
44 author per 10,000
3 dialect per 10,000
don
44 author per 10,000
1 dialect per 10,000
ye
44 author per 10,000
62 dialect per 10,000
are
44 author per 10,000
17 dialect per 10,000
has
44 author per 10,000
4 dialect per 10,000
wid
44 author per 10,000
8 dialect per 10,000
here
44 author per 10,000
12 dialect per 10,000
who
44 author per 10,000
4 dialect per 10,000
when
44 author per 10,000
18 dialect per 10,000
been
44 author per 10,000
18 dialect per 10,000
this
44 author per 10,000
41 dialect per 10,000
car
35 author per 10,000
1 dialect per 10,000
no
35 author per 10,000
37 dialect per 10,000
find
35 author per 10,000
3 dialect per 10,000
going
35 author per 10,000
1 dialect per 10,000
there
35 author per 10,000
23 dialect per 10,000
them
35 author per 10,000
17 dialect per 10,000
to
35 author per 10,000
9 dialect per 10,000
see
35 author per 10,000
17 dialect per 10,000
oor
35 author per 10,000
15 dialect per 10,000
but
35 author per 10,000
48 dialect per 10,000
nurse
35 author per 10,000
1 dialect per 10,000
ll
35 author per 10,000
4 dialect per 10,000
just
35 author per 10,000
4 dialect per 10,000
night
35 author per 10,000
2 dialect per 10,000
go
35 author per 10,000
6 dialect per 10,000
leave
35 author per 10,000
1 dialect per 10,000
by
35 author per 10,000
17 dialect per 10,000
feel
35 author per 10,000
3 dialect per 10,000
disease
35 author per 10,000
0 dialect per 10,000
last
26 author per 10,000
6 dialect per 10,000
coudnae
26 author per 10,000
0 dialect per 10,000
thought
26 author per 10,000
2 dialect per 10,000
hoose
26 author per 10,000
7 dialect per 10,000
still
26 author per 10,000
8 dialect per 10,000
door
26 author per 10,000
6 dialect per 10,000
one
26 author per 10,000
2 dialect per 10,000
i
26 author per 10,000
40 dialect per 10,000
thing
26 author per 10,000
6 dialect per 10,000
looking
26 author per 10,000
0 dialect per 10,000
takes
26 author per 10,000
1 dialect per 10,000
some
26 author per 10,000
13 dialect per 10,000
¦
26 author per 10,000
1 dialect per 10,000
wan
26 author per 10,000
9 dialect per 10,000
us
26 author per 10,000
15 dialect per 10,000
have
26 author per 10,000
2 dialect per 10,000
get
26 author per 10,000
15 dialect per 10,000
anely
26 author per 10,000
1 dialect per 10,000
things
26 author per 10,000
5 dialect per 10,000
come
26 author per 10,000
9 dialect per 10,000
whit
26 author per 10,000
29 dialect per 10,000
first
26 author per 10,000
9 dialect per 10,000
then
26 author per 10,000
17 dialect per 10,000
maist
26 author per 10,000
8 dialect per 10,000
hame
26 author per 10,000
6 dialect per 10,000
times
26 author per 10,000
3 dialect per 10,000
alzheimer
17 author per 10,000
0 dialect per 10,000
patients
17 author per 10,000
0 dialect per 10,000
walk
17 author per 10,000
2 dialect per 10,000
job
17 author per 10,000
1 dialect per 10,000
back
17 author per 10,000
21 dialect per 10,000
away
17 author per 10,000
3 dialect per 10,000
round
17 author per 10,000
0 dialect per 10,000
did
17 author per 10,000
9 dialect per 10,000
talk
17 author per 10,000
2 dialect per 10,000
give
17 author per 10,000
0 dialect per 10,000
meet
17 author per 10,000
1 dialect per 10,000
need
17 author per 10,000
5 dialect per 10,000
could
17 author per 10,000
9 dialect per 10,000
they
17 author per 10,000
41 dialect per 10,000
into
17 author per 10,000
0 dialect per 10,000
nae
17 author per 10,000
24 dialect per 10,000
went
17 author per 10,000
7 dialect per 10,000
through
17 author per 10,000
6 dialect per 10,000
two
17 author per 10,000
3 dialect per 10,000
entrance
17 author per 10,000
0 dialect per 10,000
eyes
17 author per 10,000
3 dialect per 10,000
small
17 author per 10,000
0 dialect per 10,000
out
17 author per 10,000
3 dialect per 10,000
every
17 author per 10,000
3 dialect per 10,000
up
17 author per 10,000
40 dialect per 10,000
straight
17 author per 10,000
1 dialect per 10,000
d
17 author per 10,000
6 dialect per 10,000
sort
17 author per 10,000
1 dialect per 10,000
since
17 author per 10,000
2 dialect per 10,000
loved
17 author per 10,000
0 dialect per 10,000
avery
17 author per 10,000
0 dialect per 10,000
main
17 author per 10,000
1 dialect per 10,000
mrs
17 author per 10,000
3 dialect per 10,000
caw
17 author per 10,000
1 dialect per 10,000
place
17 author per 10,000
5 dialect per 10,000
area
17 author per 10,000
1 dialect per 10,000
face
17 author per 10,000
5 dialect per 10,000
stopped
17 author per 10,000
0 dialect per 10,000
reason
17 author per 10,000
1 dialect per 10,000
forgetting
17 author per 10,000
0 dialect per 10,000
check
17 author per 10,000
1 dialect per 10,000
mind
17 author per 10,000
8 dialect per 10,000
was
17 author per 10,000
7 dialect per 10,000
meenits
17 author per 10,000
1 dialect per 10,000
if
17 author per 10,000
18 dialect per 10,000
oors
17 author per 10,000
1 dialect per 10,000
notice
17 author per 10,000
1 dialect per 10,000
barely
17 author per 10,000
0 dialect per 10,000
other
17 author per 10,000
2 dialect per 10,000
goodbye
17 author per 10,000
0 dialect per 10,000
race
17 author per 10,000
1 dialect per 10,000
look
17 author per 10,000
6 dialect per 10,000
show
17 author per 10,000
1 dialect per 10,000
day
17 author per 10,000
14 dialect per 10,000
corner
17 author per 10,000
1 dialect per 10,000
voice
17 author per 10,000
2 dialect per 10,000
withoot
17 author per 10,000
1 dialect per 10,000
lost
17 author per 10,000
1 dialect per 10,000
seen
17 author per 10,000
6 dialect per 10,000
trying
17 author per 10,000
0 dialect per 10,000
believe
17 author per 10,000
2 dialect per 10,000
friends
17 author per 10,000
0 dialect per 10,000
ages
17 author per 10,000
1 dialect per 10,000
rather
9 author per 10,000
0 dialect per 10,000
grand
9 author per 10,000
1 dialect per 10,000
names
9 author per 10,000
1 dialect per 10,000
arrive
9 author per 10,000
0 dialect per 10,000
grass
9 author per 10,000
0 dialect per 10,000
rest
9 author per 10,000
2 dialect per 10,000
space
9 author per 10,000
1 dialect per 10,000
front
9 author per 10,000
3 dialect per 10,000
storey
9 author per 10,000
0 dialect per 10,000
building
9 author per 10,000
0 dialect per 10,000
quick
9 author per 10,000
1 dialect per 10,000
covered
9 author per 10,000
0 dialect per 10,000
examine
9 author per 10,000
0 dialect per 10,000
relatively
9 author per 10,000
0 dialect per 10,000
comes
9 author per 10,000
3 dialect per 10,000
woman
9 author per 10,000
0 dialect per 10,000
recognise
9 author per 10,000
0 dialect per 10,000
fast
9 author per 10,000
1 dialect per 10,000
crossed
9 author per 10,000
0 dialect per 10,000
path
9 author per 10,000
1 dialect per 10,000
stuff
9 author per 10,000
2 dialect per 10,000
gone
9 author per 10,000
1 dialect per 10,000
getting
9 author per 10,000
1 dialect per 10,000
focused
9 author per 10,000
0 dialect per 10,000
say
9 author per 10,000
10 dialect per 10,000
bar
9 author per 10,000
1 dialect per 10,000
shocked
9 author per 10,000
0 dialect per 10,000
average
9 author per 10,000
0 dialect per 10,000
checking
9 author per 10,000
0 dialect per 10,000
sae
9 author per 10,000
16 dialect per 10,000
said
9 author per 10,000
39 dialect per 10,000
saying
9 author per 10,000
0 dialect per 10,000
take
9 author per 10,000
3 dialect per 10,000
decision
9 author per 10,000
0 dialect per 10,000
made
9 author per 10,000
7 dialect per 10,000
reasons
9 author per 10,000
0 dialect per 10,000
dae
9 author per 10,000
17 dialect per 10,000
spend
9 author per 10,000
0 dialect per 10,000
constant
9 author per 10,000
0 dialect per 10,000
having
9 author per 10,000
0 dialect per 10,000
dress
9 author per 10,000
0 dialect per 10,000
shivering
9 author per 10,000
0 dialect per 10,000
Doric
ah
531 author per 10,000
40 dialect per 10,000
the
453 author per 10,000
451 dialect per 10,000
tae
305 author per 10,000
171 dialect per 10,000
her
261 author per 10,000
64 dialect per 10,000
and
174 author per 10,000
42 dialect per 10,000
she
157 author per 10,000
66 dialect per 10,000
in
157 author per 10,000
131 dialect per 10,000
a
157 author per 10,000
314 dialect per 10,000
it
157 author per 10,000
99 dialect per 10,000
o
148 author per 10,000
176 dialect per 10,000
that
104 author per 10,000
53 dialect per 10,000
wis
104 author per 10,000
104 dialect per 10,000
s
104 author per 10,000
21 dialect per 10,000
ma
96 author per 10,000
50 dialect per 10,000
as
87 author per 10,000
52 dialect per 10,000
for
87 author per 10,000
45 dialect per 10,000
wi
87 author per 10,000
77 dialect per 10,000
me
87 author per 10,000
33 dialect per 10,000
aw
87 author per 10,000
4 dialect per 10,000
ower
87 author per 10,000
30 dialect per 10,000
time
78 author per 10,000
19 dialect per 10,000
is
78 author per 10,000
39 dialect per 10,000
m
78 author per 10,000
3 dialect per 10,000
an
70 author per 10,000
305 dialect per 10,000
be
70 author per 10,000
45 dialect per 10,000
awmaist
70 author per 10,000
0 dialect per 10,000
had
70 author per 10,000
4 dialect per 10,000
evelynn
70 author per 10,000
0 dialect per 10,000
fae
61 author per 10,000
30 dialect per 10,000
even
61 author per 10,000
6 dialect per 10,000
at
61 author per 10,000
67 dialect per 10,000
t
52 author per 10,000
2 dialect per 10,000
oot
52 author per 10,000
50 dialect per 10,000
ve
52 author per 10,000
2 dialect per 10,000
we
52 author per 10,000
33 dialect per 10,000
on
52 author per 10,000
68 dialect per 10,000
aboot
52 author per 10,000
33 dialect per 10,000
now
52 author per 10,000
1 dialect per 10,000
like
52 author per 10,000
37 dialect per 10,000
where
44 author per 10,000
1 dialect per 10,000
don
44 author per 10,000
0 dialect per 10,000
ye
44 author per 10,000
94 dialect per 10,000
are
44 author per 10,000
14 dialect per 10,000
has
44 author per 10,000
2 dialect per 10,000
wid
44 author per 10,000
18 dialect per 10,000
here
44 author per 10,000
11 dialect per 10,000
who
44 author per 10,000
1 dialect per 10,000
when
44 author per 10,000
3 dialect per 10,000
been
44 author per 10,000
14 dialect per 10,000
this
44 author per 10,000
19 dialect per 10,000
car
35 author per 10,000
3 dialect per 10,000
no
35 author per 10,000
7 dialect per 10,000
find
35 author per 10,000
2 dialect per 10,000
going
35 author per 10,000
0 dialect per 10,000
there
35 author per 10,000
22 dialect per 10,000
them
35 author per 10,000
23 dialect per 10,000
to
35 author per 10,000
8 dialect per 10,000
see
35 author per 10,000
21 dialect per 10,000
oor
35 author per 10,000
8 dialect per 10,000
but
35 author per 10,000
26 dialect per 10,000
nurse
35 author per 10,000
1 dialect per 10,000
ll
35 author per 10,000
4 dialect per 10,000
just
35 author per 10,000
1 dialect per 10,000
night
35 author per 10,000
0 dialect per 10,000
go
35 author per 10,000
4 dialect per 10,000
leave
35 author per 10,000
2 dialect per 10,000
by
35 author per 10,000
9 dialect per 10,000
feel
35 author per 10,000
7 dialect per 10,000
disease
35 author per 10,000
0 dialect per 10,000
last
26 author per 10,000
5 dialect per 10,000
coudnae
26 author per 10,000
0 dialect per 10,000
thought
26 author per 10,000
0 dialect per 10,000
hoose
26 author per 10,000
10 dialect per 10,000
still
26 author per 10,000
6 dialect per 10,000
door
26 author per 10,000
8 dialect per 10,000
one
26 author per 10,000
2 dialect per 10,000
i
26 author per 10,000
68 dialect per 10,000
thing
26 author per 10,000
6 dialect per 10,000
looking
26 author per 10,000
0 dialect per 10,000
takes
26 author per 10,000
0 dialect per 10,000
some
26 author per 10,000
13 dialect per 10,000
¦
26 author per 10,000
1 dialect per 10,000
wan
26 author per 10,000
3 dialect per 10,000
us
26 author per 10,000
7 dialect per 10,000
have
26 author per 10,000
1 dialect per 10,000
get
26 author per 10,000
16 dialect per 10,000
anely
26 author per 10,000
2 dialect per 10,000
things
26 author per 10,000
6 dialect per 10,000
come
26 author per 10,000
13 dialect per 10,000
whit
26 author per 10,000
2 dialect per 10,000
first
26 author per 10,000
7 dialect per 10,000
then
26 author per 10,000
9 dialect per 10,000
maist
26 author per 10,000
4 dialect per 10,000
hame
26 author per 10,000
11 dialect per 10,000
times
26 author per 10,000
3 dialect per 10,000
alzheimer
17 author per 10,000
0 dialect per 10,000
patients
17 author per 10,000
0 dialect per 10,000
walk
17 author per 10,000
1 dialect per 10,000
job
17 author per 10,000
2 dialect per 10,000
back
17 author per 10,000
21 dialect per 10,000
away
17 author per 10,000
0 dialect per 10,000
round
17 author per 10,000
0 dialect per 10,000
did
17 author per 10,000
10 dialect per 10,000
talk
17 author per 10,000
1 dialect per 10,000
give
17 author per 10,000
0 dialect per 10,000
meet
17 author per 10,000
1 dialect per 10,000
need
17 author per 10,000
6 dialect per 10,000
could
17 author per 10,000
8 dialect per 10,000
they
17 author per 10,000
36 dialect per 10,000
into
17 author per 10,000
1 dialect per 10,000
nae
17 author per 10,000
50 dialect per 10,000
went
17 author per 10,000
4 dialect per 10,000
through
17 author per 10,000
3 dialect per 10,000
two
17 author per 10,000
1 dialect per 10,000
entrance
17 author per 10,000
0 dialect per 10,000
eyes
17 author per 10,000
1 dialect per 10,000
small
17 author per 10,000
0 dialect per 10,000
out
17 author per 10,000
2 dialect per 10,000
every
17 author per 10,000
1 dialect per 10,000
up
17 author per 10,000
47 dialect per 10,000
straight
17 author per 10,000
0 dialect per 10,000
d
17 author per 10,000
10 dialect per 10,000
sort
17 author per 10,000
1 dialect per 10,000
since
17 author per 10,000
2 dialect per 10,000
loved
17 author per 10,000
0 dialect per 10,000
avery
17 author per 10,000
0 dialect per 10,000
main
17 author per 10,000
1 dialect per 10,000
mrs
17 author per 10,000
2 dialect per 10,000
caw
17 author per 10,000
0 dialect per 10,000
place
17 author per 10,000
5 dialect per 10,000
area
17 author per 10,000
0 dialect per 10,000
face
17 author per 10,000
7 dialect per 10,000
stopped
17 author per 10,000
1 dialect per 10,000
reason
17 author per 10,000
1 dialect per 10,000
forgetting
17 author per 10,000
0 dialect per 10,000
check
17 author per 10,000
0 dialect per 10,000
mind
17 author per 10,000
5 dialect per 10,000
was
17 author per 10,000
10 dialect per 10,000
meenits
17 author per 10,000
1 dialect per 10,000
if
17 author per 10,000
16 dialect per 10,000
oors
17 author per 10,000
2 dialect per 10,000
notice
17 author per 10,000
1 dialect per 10,000
barely
17 author per 10,000
0 dialect per 10,000
other
17 author per 10,000
0 dialect per 10,000
goodbye
17 author per 10,000
0 dialect per 10,000
race
17 author per 10,000
0 dialect per 10,000
look
17 author per 10,000
7 dialect per 10,000
show
17 author per 10,000
2 dialect per 10,000
day
17 author per 10,000
26 dialect per 10,000
corner
17 author per 10,000
1 dialect per 10,000
voice
17 author per 10,000
2 dialect per 10,000
withoot
17 author per 10,000
2 dialect per 10,000
lost
17 author per 10,000
2 dialect per 10,000
seen
17 author per 10,000
8 dialect per 10,000
trying
17 author per 10,000
0 dialect per 10,000
believe
17 author per 10,000
2 dialect per 10,000
friends
17 author per 10,000
0 dialect per 10,000
ages
17 author per 10,000
0 dialect per 10,000
rather
9 author per 10,000
0 dialect per 10,000
grand
9 author per 10,000
1 dialect per 10,000
names
9 author per 10,000
1 dialect per 10,000
arrive
9 author per 10,000
0 dialect per 10,000
grass
9 author per 10,000
0 dialect per 10,000
rest
9 author per 10,000
2 dialect per 10,000
space
9 author per 10,000
1 dialect per 10,000
front
9 author per 10,000
2 dialect per 10,000
storey
9 author per 10,000
0 dialect per 10,000
building
9 author per 10,000
0 dialect per 10,000
quick
9 author per 10,000
1 dialect per 10,000
covered
9 author per 10,000
1 dialect per 10,000
examine
9 author per 10,000
0 dialect per 10,000
relatively
9 author per 10,000
0 dialect per 10,000
comes
9 author per 10,000
4 dialect per 10,000
woman
9 author per 10,000
0 dialect per 10,000
recognise
9 author per 10,000
0 dialect per 10,000
fast
9 author per 10,000
1 dialect per 10,000
crossed
9 author per 10,000
0 dialect per 10,000
path
9 author per 10,000
0 dialect per 10,000
stuff
9 author per 10,000
2 dialect per 10,000
gone
9 author per 10,000
1 dialect per 10,000
getting
9 author per 10,000
1 dialect per 10,000
focused
9 author per 10,000
0 dialect per 10,000
say
9 author per 10,000
14 dialect per 10,000
bar
9 author per 10,000
1 dialect per 10,000
shocked
9 author per 10,000
0 dialect per 10,000
average
9 author per 10,000
0 dialect per 10,000
checking
9 author per 10,000
0 dialect per 10,000
sae
9 author per 10,000
14 dialect per 10,000
said
9 author per 10,000
36 dialect per 10,000
saying
9 author per 10,000
0 dialect per 10,000
take
9 author per 10,000
1 dialect per 10,000
decision
9 author per 10,000
0 dialect per 10,000
made
9 author per 10,000
8 dialect per 10,000
reasons
9 author per 10,000
0 dialect per 10,000
dae
9 author per 10,000
5 dialect per 10,000
spend
9 author per 10,000
0 dialect per 10,000
constant
9 author per 10,000
0 dialect per 10,000
having
9 author per 10,000
0 dialect per 10,000
dress
9 author per 10,000
0 dialect per 10,000
shivering
9 author per 10,000
0 dialect per 10,000
Shetland
ah
531 author per 10,000
0 dialect per 10,000
the
453 author per 10,000
18 dialect per 10,000
tae
305 author per 10,000
86 dialect per 10,000
her
261 author per 10,000
64 dialect per 10,000
and
174 author per 10,000
15 dialect per 10,000
she
157 author per 10,000
7 dialect per 10,000
in
157 author per 10,000
105 dialect per 10,000
a
157 author per 10,000
280 dialect per 10,000
it
157 author per 10,000
58 dialect per 10,000
o
148 author per 10,000
177 dialect per 10,000
that
104 author per 10,000
4 dialect per 10,000
wis
104 author per 10,000
162 dialect per 10,000
s
104 author per 10,000
15 dialect per 10,000
ma
96 author per 10,000
0 dialect per 10,000
as
87 author per 10,000
79 dialect per 10,000
for
87 author per 10,000
35 dialect per 10,000
wi
87 author per 10,000
95 dialect per 10,000
me
87 author per 10,000
41 dialect per 10,000
aw
87 author per 10,000
0 dialect per 10,000
ower
87 author per 10,000
24 dialect per 10,000
time
78 author per 10,000
21 dialect per 10,000
is
78 author per 10,000
81 dialect per 10,000
m
78 author per 10,000
5 dialect per 10,000
an
70 author per 10,000
330 dialect per 10,000
be
70 author per 10,000
56 dialect per 10,000
awmaist
70 author per 10,000
0 dialect per 10,000
had
70 author per 10,000
2 dialect per 10,000
evelynn
70 author per 10,000
0 dialect per 10,000
fae
61 author per 10,000
40 dialect per 10,000
even
61 author per 10,000
10 dialect per 10,000
at
61 author per 10,000
112 dialect per 10,000
t
52 author per 10,000
0 dialect per 10,000
oot
52 author per 10,000
42 dialect per 10,000
ve
52 author per 10,000
1 dialect per 10,000
we
52 author per 10,000
44 dialect per 10,000
on
52 author per 10,000
52 dialect per 10,000
aboot
52 author per 10,000
41 dialect per 10,000
now
52 author per 10,000
1 dialect per 10,000
like
52 author per 10,000
2 dialect per 10,000
where
44 author per 10,000
0 dialect per 10,000
don
44 author per 10,000
1 dialect per 10,000
ye
44 author per 10,000
0 dialect per 10,000
are
44 author per 10,000
2 dialect per 10,000
has
44 author per 10,000
3 dialect per 10,000
wid
44 author per 10,000
38 dialect per 10,000
here
44 author per 10,000
11 dialect per 10,000
who
44 author per 10,000
1 dialect per 10,000
when
44 author per 10,000
5 dialect per 10,000
been
44 author per 10,000
16 dialect per 10,000
this
44 author per 10,000
1 dialect per 10,000
car
35 author per 10,000
1 dialect per 10,000
no
35 author per 10,000
35 dialect per 10,000
find
35 author per 10,000
0 dialect per 10,000
going
35 author per 10,000
0 dialect per 10,000
there
35 author per 10,000
1 dialect per 10,000
them
35 author per 10,000
1 dialect per 10,000
to
35 author per 10,000
8 dialect per 10,000
see
35 author per 10,000
20 dialect per 10,000
oor
35 author per 10,000
1 dialect per 10,000
but
35 author per 10,000
29 dialect per 10,000
nurse
35 author per 10,000
0 dialect per 10,000
ll
35 author per 10,000
5 dialect per 10,000
just
35 author per 10,000
10 dialect per 10,000
night
35 author per 10,000
5 dialect per 10,000
go
35 author per 10,000
2 dialect per 10,000
leave
35 author per 10,000
0 dialect per 10,000
by
35 author per 10,000
7 dialect per 10,000
feel
35 author per 10,000
2 dialect per 10,000
disease
35 author per 10,000
0 dialect per 10,000
last
26 author per 10,000
6 dialect per 10,000
coudnae
26 author per 10,000
0 dialect per 10,000
thought
26 author per 10,000
0 dialect per 10,000
hoose
26 author per 10,000
8 dialect per 10,000
still
26 author per 10,000
9 dialect per 10,000
door
26 author per 10,000
7 dialect per 10,000
one
26 author per 10,000
1 dialect per 10,000
i
26 author per 10,000
143 dialect per 10,000
thing
26 author per 10,000
6 dialect per 10,000
looking
26 author per 10,000
0 dialect per 10,000
takes
26 author per 10,000
0 dialect per 10,000
some
26 author per 10,000
13 dialect per 10,000
¦
26 author per 10,000
1 dialect per 10,000
wan
26 author per 10,000
13 dialect per 10,000
us
26 author per 10,000
0 dialect per 10,000
have
26 author per 10,000
3 dialect per 10,000
get
26 author per 10,000
6 dialect per 10,000
anely
26 author per 10,000
0 dialect per 10,000
things
26 author per 10,000
7 dialect per 10,000
come
26 author per 10,000
19 dialect per 10,000
whit
26 author per 10,000
39 dialect per 10,000
first
26 author per 10,000
10 dialect per 10,000
then
26 author per 10,000
1 dialect per 10,000
maist
26 author per 10,000
4 dialect per 10,000
hame
26 author per 10,000
7 dialect per 10,000
times
26 author per 10,000
4 dialect per 10,000
alzheimer
17 author per 10,000
0 dialect per 10,000
patients
17 author per 10,000
0 dialect per 10,000
walk
17 author per 10,000
0 dialect per 10,000
job
17 author per 10,000
2 dialect per 10,000
back
17 author per 10,000
18 dialect per 10,000
away
17 author per 10,000
1 dialect per 10,000
round
17 author per 10,000
0 dialect per 10,000
did
17 author per 10,000
9 dialect per 10,000
talk
17 author per 10,000
0 dialect per 10,000
give
17 author per 10,000
0 dialect per 10,000
meet
17 author per 10,000
1 dialect per 10,000
need
17 author per 10,000
3 dialect per 10,000
could
17 author per 10,000
12 dialect per 10,000
they
17 author per 10,000
2 dialect per 10,000
into
17 author per 10,000
0 dialect per 10,000
nae
17 author per 10,000
23 dialect per 10,000
went
17 author per 10,000
0 dialect per 10,000
through
17 author per 10,000
0 dialect per 10,000
two
17 author per 10,000
1 dialect per 10,000
entrance
17 author per 10,000
0 dialect per 10,000
eyes
17 author per 10,000
0 dialect per 10,000
small
17 author per 10,000
0 dialect per 10,000
out
17 author per 10,000
1 dialect per 10,000
every
17 author per 10,000
5 dialect per 10,000
up
17 author per 10,000
42 dialect per 10,000
straight
17 author per 10,000
1 dialect per 10,000
d
17 author per 10,000
2 dialect per 10,000
sort
17 author per 10,000
0 dialect per 10,000
since
17 author per 10,000
1 dialect per 10,000
loved
17 author per 10,000
1 dialect per 10,000
avery
17 author per 10,000
0 dialect per 10,000
main
17 author per 10,000
2 dialect per 10,000
mrs
17 author per 10,000
0 dialect per 10,000
caw
17 author per 10,000
0 dialect per 10,000
place
17 author per 10,000
7 dialect per 10,000
area
17 author per 10,000
1 dialect per 10,000
face
17 author per 10,000
6 dialect per 10,000
stopped
17 author per 10,000
0 dialect per 10,000
reason
17 author per 10,000
0 dialect per 10,000
forgetting
17 author per 10,000
0 dialect per 10,000
check
17 author per 10,000
0 dialect per 10,000
mind
17 author per 10,000
10 dialect per 10,000
was
17 author per 10,000
3 dialect per 10,000
meenits
17 author per 10,000
2 dialect per 10,000
if
17 author per 10,000
25 dialect per 10,000
oors
17 author per 10,000
1 dialect per 10,000
notice
17 author per 10,000
0 dialect per 10,000
barely
17 author per 10,000
1 dialect per 10,000
other
17 author per 10,000
1 dialect per 10,000
goodbye
17 author per 10,000
0 dialect per 10,000
race
17 author per 10,000
0 dialect per 10,000
look
17 author per 10,000
6 dialect per 10,000
show
17 author per 10,000
1 dialect per 10,000
day
17 author per 10,000
18 dialect per 10,000
corner
17 author per 10,000
0 dialect per 10,000
voice
17 author per 10,000
4 dialect per 10,000
withoot
17 author per 10,000
1 dialect per 10,000
lost
17 author per 10,000
3 dialect per 10,000
seen
17 author per 10,000
6 dialect per 10,000
trying
17 author per 10,000
0 dialect per 10,000
believe
17 author per 10,000
2 dialect per 10,000
friends
17 author per 10,000
0 dialect per 10,000
ages
17 author per 10,000
0 dialect per 10,000
rather
9 author per 10,000
0 dialect per 10,000
grand
9 author per 10,000
0 dialect per 10,000
names
9 author per 10,000
1 dialect per 10,000
arrive
9 author per 10,000
0 dialect per 10,000
grass
9 author per 10,000
0 dialect per 10,000
rest
9 author per 10,000
3 dialect per 10,000
space
9 author per 10,000
1 dialect per 10,000
front
9 author per 10,000
1 dialect per 10,000
storey
9 author per 10,000
0 dialect per 10,000
building
9 author per 10,000
0 dialect per 10,000
quick
9 author per 10,000
1 dialect per 10,000
covered
9 author per 10,000
0 dialect per 10,000
examine
9 author per 10,000
0 dialect per 10,000
relatively
9 author per 10,000
0 dialect per 10,000
comes
9 author per 10,000
5 dialect per 10,000
woman
9 author per 10,000
0 dialect per 10,000
recognise
9 author per 10,000
0 dialect per 10,000
fast
9 author per 10,000
2 dialect per 10,000
crossed
9 author per 10,000
0 dialect per 10,000
path
9 author per 10,000
0 dialect per 10,000
stuff
9 author per 10,000
1 dialect per 10,000
gone
9 author per 10,000
0 dialect per 10,000
getting
9 author per 10,000
0 dialect per 10,000
focused
9 author per 10,000
0 dialect per 10,000
say
9 author per 10,000
11 dialect per 10,000
bar
9 author per 10,000
0 dialect per 10,000
shocked
9 author per 10,000
0 dialect per 10,000
average
9 author per 10,000
0 dialect per 10,000
checking
9 author per 10,000
0 dialect per 10,000
sae
9 author per 10,000
8 dialect per 10,000
said
9 author per 10,000
61 dialect per 10,000
saying
9 author per 10,000
0 dialect per 10,000
take
9 author per 10,000
0 dialect per 10,000
decision
9 author per 10,000
0 dialect per 10,000
made
9 author per 10,000
1 dialect per 10,000
reasons
9 author per 10,000
0 dialect per 10,000
dae
9 author per 10,000
2 dialect per 10,000
spend
9 author per 10,000
0 dialect per 10,000
constant
9 author per 10,000
0 dialect per 10,000
having
9 author per 10,000
0 dialect per 10,000
dress
9 author per 10,000
0 dialect per 10,000
shivering
9 author per 10,000
0 dialect per 10,000
Orkney
ah
531 author per 10,000
2 dialect per 10,000
the
453 author per 10,000
582 dialect per 10,000
tae
305 author per 10,000
223 dialect per 10,000
her
261 author per 10,000
49 dialect per 10,000
and
174 author per 10,000
199 dialect per 10,000
she
157 author per 10,000
9 dialect per 10,000
in
157 author per 10,000
146 dialect per 10,000
a
157 author per 10,000
298 dialect per 10,000
it
157 author per 10,000
23 dialect per 10,000
o
148 author per 10,000
202 dialect per 10,000
that
104 author per 10,000
75 dialect per 10,000
wis
104 author per 10,000
80 dialect per 10,000
s
104 author per 10,000
17 dialect per 10,000
ma
96 author per 10,000
1 dialect per 10,000
as
87 author per 10,000
48 dialect per 10,000
for
87 author per 10,000
26 dialect per 10,000
wi
87 author per 10,000
46 dialect per 10,000
me
87 author per 10,000
115 dialect per 10,000
aw
87 author per 10,000
0 dialect per 10,000
ower
87 author per 10,000
18 dialect per 10,000
time
78 author per 10,000
18 dialect per 10,000
is
78 author per 10,000
71 dialect per 10,000
m
78 author per 10,000
3 dialect per 10,000
an
70 author per 10,000
172 dialect per 10,000
be
70 author per 10,000
42 dialect per 10,000
awmaist
70 author per 10,000
0 dialect per 10,000
had
70 author per 10,000
3 dialect per 10,000
evelynn
70 author per 10,000
0 dialect per 10,000
fae
61 author per 10,000
39 dialect per 10,000
even
61 author per 10,000
6 dialect per 10,000
at
61 author per 10,000
54 dialect per 10,000
t
52 author per 10,000
1 dialect per 10,000
oot
52 author per 10,000
50 dialect per 10,000
ve
52 author per 10,000
1 dialect per 10,000
we
52 author per 10,000
29 dialect per 10,000
on
52 author per 10,000
73 dialect per 10,000
aboot
52 author per 10,000
26 dialect per 10,000
now
52 author per 10,000
0 dialect per 10,000
like
52 author per 10,000
31 dialect per 10,000
where
44 author per 10,000
0 dialect per 10,000
don
44 author per 10,000
1 dialect per 10,000
ye
44 author per 10,000
17 dialect per 10,000
are
44 author per 10,000
14 dialect per 10,000
has
44 author per 10,000
1 dialect per 10,000
wid
44 author per 10,000
20 dialect per 10,000
here
44 author per 10,000
12 dialect per 10,000
who
44 author per 10,000
4 dialect per 10,000
when
44 author per 10,000
23 dialect per 10,000
been
44 author per 10,000
18 dialect per 10,000
this
44 author per 10,000
34 dialect per 10,000
car
35 author per 10,000
2 dialect per 10,000
no
35 author per 10,000
58 dialect per 10,000
find
35 author per 10,000
3 dialect per 10,000
going
35 author per 10,000
1 dialect per 10,000
there
35 author per 10,000
18 dialect per 10,000
them
35 author per 10,000
18 dialect per 10,000
to
35 author per 10,000
8 dialect per 10,000
see
35 author per 10,000
17 dialect per 10,000
oor
35 author per 10,000
2 dialect per 10,000
but
35 author per 10,000
28 dialect per 10,000
nurse
35 author per 10,000
0 dialect per 10,000
ll
35 author per 10,000
2 dialect per 10,000
just
35 author per 10,000
2 dialect per 10,000
night
35 author per 10,000
13 dialect per 10,000
go
35 author per 10,000
10 dialect per 10,000
leave
35 author per 10,000
1 dialect per 10,000
by
35 author per 10,000
16 dialect per 10,000
feel
35 author per 10,000
5 dialect per 10,000
disease
35 author per 10,000
0 dialect per 10,000
last
26 author per 10,000
8 dialect per 10,000
coudnae
26 author per 10,000
0 dialect per 10,000
thought
26 author per 10,000
0 dialect per 10,000
hoose
26 author per 10,000
11 dialect per 10,000
still
26 author per 10,000
12 dialect per 10,000
door
26 author per 10,000
8 dialect per 10,000
one
26 author per 10,000
1 dialect per 10,000
i
26 author per 10,000
158 dialect per 10,000
thing
26 author per 10,000
7 dialect per 10,000
looking
26 author per 10,000
0 dialect per 10,000
takes
26 author per 10,000
0 dialect per 10,000
some
26 author per 10,000
17 dialect per 10,000
¦
26 author per 10,000
3 dialect per 10,000
wan
26 author per 10,000
22 dialect per 10,000
us
26 author per 10,000
6 dialect per 10,000
have
26 author per 10,000
2 dialect per 10,000
get
26 author per 10,000
9 dialect per 10,000
anely
26 author per 10,000
0 dialect per 10,000
things
26 author per 10,000
9 dialect per 10,000
come
26 author per 10,000
11 dialect per 10,000
whit
26 author per 10,000
29 dialect per 10,000
first
26 author per 10,000
7 dialect per 10,000
then
26 author per 10,000
18 dialect per 10,000
maist
26 author per 10,000
1 dialect per 10,000
hame
26 author per 10,000
1 dialect per 10,000
times
26 author per 10,000
2 dialect per 10,000
alzheimer
17 author per 10,000
0 dialect per 10,000
patients
17 author per 10,000
0 dialect per 10,000
walk
17 author per 10,000
2 dialect per 10,000
job
17 author per 10,000
2 dialect per 10,000
back
17 author per 10,000
26 dialect per 10,000
away
17 author per 10,000
1 dialect per 10,000
round
17 author per 10,000
0 dialect per 10,000
did
17 author per 10,000
8 dialect per 10,000
talk
17 author per 10,000
0 dialect per 10,000
give
17 author per 10,000
0 dialect per 10,000
meet
17 author per 10,000
2 dialect per 10,000
need
17 author per 10,000
4 dialect per 10,000
could
17 author per 10,000
13 dialect per 10,000
they
17 author per 10,000
37 dialect per 10,000
into
17 author per 10,000
1 dialect per 10,000
nae
17 author per 10,000
3 dialect per 10,000
went
17 author per 10,000
1 dialect per 10,000
through
17 author per 10,000
9 dialect per 10,000
two
17 author per 10,000
4 dialect per 10,000
entrance
17 author per 10,000
0 dialect per 10,000
eyes
17 author per 10,000
7 dialect per 10,000
small
17 author per 10,000
1 dialect per 10,000
out
17 author per 10,000
1 dialect per 10,000
every
17 author per 10,000
4 dialect per 10,000
up
17 author per 10,000
34 dialect per 10,000
straight
17 author per 10,000
1 dialect per 10,000
d
17 author per 10,000
2 dialect per 10,000
sort
17 author per 10,000
1 dialect per 10,000
since
17 author per 10,000
3 dialect per 10,000
loved
17 author per 10,000
2 dialect per 10,000
avery
17 author per 10,000
0 dialect per 10,000
main
17 author per 10,000
0 dialect per 10,000
mrs
17 author per 10,000
4 dialect per 10,000
caw
17 author per 10,000
0 dialect per 10,000
place
17 author per 10,000
4 dialect per 10,000
area
17 author per 10,000
0 dialect per 10,000
face
17 author per 10,000
7 dialect per 10,000
stopped
17 author per 10,000
1 dialect per 10,000
reason
17 author per 10,000
1 dialect per 10,000
forgetting
17 author per 10,000
0 dialect per 10,000
check
17 author per 10,000
0 dialect per 10,000
mind
17 author per 10,000
9 dialect per 10,000
was
17 author per 10,000
2 dialect per 10,000
meenits
17 author per 10,000
1 dialect per 10,000
if
17 author per 10,000
15 dialect per 10,000
oors
17 author per 10,000
1 dialect per 10,000
notice
17 author per 10,000
1 dialect per 10,000
barely
17 author per 10,000
1 dialect per 10,000
other
17 author per 10,000
0 dialect per 10,000
goodbye
17 author per 10,000
0 dialect per 10,000
race
17 author per 10,000
1 dialect per 10,000
look
17 author per 10,000
1 dialect per 10,000
show
17 author per 10,000
1 dialect per 10,000
day
17 author per 10,000
20 dialect per 10,000
corner
17 author per 10,000
2 dialect per 10,000
voice
17 author per 10,000
2 dialect per 10,000
withoot
17 author per 10,000
2 dialect per 10,000
lost
17 author per 10,000
4 dialect per 10,000
seen
17 author per 10,000
6 dialect per 10,000
trying
17 author per 10,000
0 dialect per 10,000
believe
17 author per 10,000
1 dialect per 10,000
friends
17 author per 10,000
0 dialect per 10,000
ages
17 author per 10,000
0 dialect per 10,000
rather
9 author per 10,000
1 dialect per 10,000
grand
9 author per 10,000
4 dialect per 10,000
names
9 author per 10,000
0 dialect per 10,000
arrive
9 author per 10,000
0 dialect per 10,000
grass
9 author per 10,000
0 dialect per 10,000
rest
9 author per 10,000
3 dialect per 10,000
space
9 author per 10,000
2 dialect per 10,000
front
9 author per 10,000
1 dialect per 10,000
storey
9 author per 10,000
0 dialect per 10,000
building
9 author per 10,000
0 dialect per 10,000
quick
9 author per 10,000
0 dialect per 10,000
covered
9 author per 10,000
1 dialect per 10,000
examine
9 author per 10,000
0 dialect per 10,000
relatively
9 author per 10,000
0 dialect per 10,000
comes
9 author per 10,000
5 dialect per 10,000
woman
9 author per 10,000
0 dialect per 10,000
recognise
9 author per 10,000
0 dialect per 10,000
fast
9 author per 10,000
1 dialect per 10,000
crossed
9 author per 10,000
0 dialect per 10,000
path
9 author per 10,000
1 dialect per 10,000
stuff
9 author per 10,000
1 dialect per 10,000
gone
9 author per 10,000
1 dialect per 10,000
getting
9 author per 10,000
0 dialect per 10,000
focused
9 author per 10,000
0 dialect per 10,000
say
9 author per 10,000
10 dialect per 10,000
bar
9 author per 10,000
1 dialect per 10,000
shocked
9 author per 10,000
0 dialect per 10,000
average
9 author per 10,000
0 dialect per 10,000
checking
9 author per 10,000
0 dialect per 10,000
sae
9 author per 10,000
1 dialect per 10,000
said
9 author per 10,000
15 dialect per 10,000
saying
9 author per 10,000
0 dialect per 10,000
take
9 author per 10,000
1 dialect per 10,000
decision
9 author per 10,000
0 dialect per 10,000
made
9 author per 10,000
3 dialect per 10,000
reasons
9 author per 10,000
0 dialect per 10,000
dae
9 author per 10,000
10 dialect per 10,000
spend
9 author per 10,000
1 dialect per 10,000
constant
9 author per 10,000
0 dialect per 10,000
having
9 author per 10,000
0 dialect per 10,000
dress
9 author per 10,000
0 dialect per 10,000
shivering
9 author per 10,000
0 dialect per 10,000
Southern
ah
531 author per 10,000
75 dialect per 10,000
the
453 author per 10,000
449 dialect per 10,000
tae
305 author per 10,000
206 dialect per 10,000
her
261 author per 10,000
17 dialect per 10,000
and
174 author per 10,000
33 dialect per 10,000
she
157 author per 10,000
91 dialect per 10,000
in
157 author per 10,000
107 dialect per 10,000
a
157 author per 10,000
230 dialect per 10,000
it
157 author per 10,000
63 dialect per 10,000
o
148 author per 10,000
200 dialect per 10,000
that
104 author per 10,000
65 dialect per 10,000
wis
104 author per 10,000
54 dialect per 10,000
s
104 author per 10,000
34 dialect per 10,000
ma
96 author per 10,000
59 dialect per 10,000
as
87 author per 10,000
50 dialect per 10,000
for
87 author per 10,000
22 dialect per 10,000
wi
87 author per 10,000
66 dialect per 10,000
me
87 author per 10,000
16 dialect per 10,000
aw
87 author per 10,000
32 dialect per 10,000
ower
87 author per 10,000
13 dialect per 10,000
time
78 author per 10,000
14 dialect per 10,000
is
78 author per 10,000
62 dialect per 10,000
m
78 author per 10,000
5 dialect per 10,000
an
70 author per 10,000
289 dialect per 10,000
be
70 author per 10,000
13 dialect per 10,000
awmaist
70 author per 10,000
0 dialect per 10,000
had
70 author per 10,000
0 dialect per 10,000
evelynn
70 author per 10,000
0 dialect per 10,000
fae
61 author per 10,000
0 dialect per 10,000
even
61 author per 10,000
5 dialect per 10,000
at
61 author per 10,000
69 dialect per 10,000
t
52 author per 10,000
3 dialect per 10,000
oot
52 author per 10,000
34 dialect per 10,000
ve
52 author per 10,000
4 dialect per 10,000
we
52 author per 10,000
10 dialect per 10,000
on
52 author per 10,000
55 dialect per 10,000
aboot
52 author per 10,000
29 dialect per 10,000
now
52 author per 10,000
2 dialect per 10,000
like
52 author per 10,000
8 dialect per 10,000
where
44 author per 10,000
6 dialect per 10,000
don
44 author per 10,000
0 dialect per 10,000
ye
44 author per 10,000
21 dialect per 10,000
are
44 author per 10,000
9 dialect per 10,000
has
44 author per 10,000
2 dialect per 10,000
wid
44 author per 10,000
1 dialect per 10,000
here
44 author per 10,000
13 dialect per 10,000
who
44 author per 10,000
0 dialect per 10,000
when
44 author per 10,000
16 dialect per 10,000
been
44 author per 10,000
10 dialect per 10,000
this
44 author per 10,000
35 dialect per 10,000
car
35 author per 10,000
2 dialect per 10,000
no
35 author per 10,000
28 dialect per 10,000
find
35 author per 10,000
2 dialect per 10,000
going
35 author per 10,000
0 dialect per 10,000
there
35 author per 10,000
16 dialect per 10,000
them
35 author per 10,000
5 dialect per 10,000
to
35 author per 10,000
1 dialect per 10,000
see
35 author per 10,000
5 dialect per 10,000
oor
35 author per 10,000
11 dialect per 10,000
but
35 author per 10,000
42 dialect per 10,000
nurse
35 author per 10,000
0 dialect per 10,000
ll
35 author per 10,000
2 dialect per 10,000
just
35 author per 10,000
3 dialect per 10,000
night
35 author per 10,000
0 dialect per 10,000
go
35 author per 10,000
1 dialect per 10,000
leave
35 author per 10,000
1 dialect per 10,000
by
35 author per 10,000
5 dialect per 10,000
feel
35 author per 10,000
3 dialect per 10,000
disease
35 author per 10,000
0 dialect per 10,000
last
26 author per 10,000
5 dialect per 10,000
coudnae
26 author per 10,000
0 dialect per 10,000
thought
26 author per 10,000
1 dialect per 10,000
hoose
26 author per 10,000
20 dialect per 10,000
still
26 author per 10,000
7 dialect per 10,000
door
26 author per 10,000
8 dialect per 10,000
one
26 author per 10,000
1 dialect per 10,000
i
26 author per 10,000
74 dialect per 10,000
thing
26 author per 10,000
2 dialect per 10,000
looking
26 author per 10,000
0 dialect per 10,000
takes
26 author per 10,000
0 dialect per 10,000
some
26 author per 10,000
12 dialect per 10,000
¦
26 author per 10,000
1 dialect per 10,000
wan
26 author per 10,000
0 dialect per 10,000
us
26 author per 10,000
5 dialect per 10,000
have
26 author per 10,000
0 dialect per 10,000
get
26 author per 10,000
10 dialect per 10,000
anely
26 author per 10,000
0 dialect per 10,000
things
26 author per 10,000
2 dialect per 10,000
come
26 author per 10,000
9 dialect per 10,000
whit
26 author per 10,000
30 dialect per 10,000
first
26 author per 10,000
2 dialect per 10,000
then
26 author per 10,000
17 dialect per 10,000
maist
26 author per 10,000
4 dialect per 10,000
hame
26 author per 10,000
8 dialect per 10,000
times
26 author per 10,000
2 dialect per 10,000
alzheimer
17 author per 10,000
0 dialect per 10,000
patients
17 author per 10,000
0 dialect per 10,000
walk
17 author per 10,000
2 dialect per 10,000
job
17 author per 10,000
2 dialect per 10,000
back
17 author per 10,000
19 dialect per 10,000
away
17 author per 10,000
1 dialect per 10,000
round
17 author per 10,000
0 dialect per 10,000
did
17 author per 10,000
11 dialect per 10,000
talk
17 author per 10,000
2 dialect per 10,000
give
17 author per 10,000
0 dialect per 10,000
meet
17 author per 10,000
1 dialect per 10,000
need
17 author per 10,000
1 dialect per 10,000
could
17 author per 10,000
13 dialect per 10,000
they
17 author per 10,000
31 dialect per 10,000
into
17 author per 10,000
0 dialect per 10,000
nae
17 author per 10,000
25 dialect per 10,000
went
17 author per 10,000
13 dialect per 10,000
through
17 author per 10,000
2 dialect per 10,000
two
17 author per 10,000
0 dialect per 10,000
entrance
17 author per 10,000
0 dialect per 10,000
eyes
17 author per 10,000
4 dialect per 10,000
small
17 author per 10,000
0 dialect per 10,000
out
17 author per 10,000
1 dialect per 10,000
every
17 author per 10,000
2 dialect per 10,000
up
17 author per 10,000
41 dialect per 10,000
straight
17 author per 10,000
0 dialect per 10,000
d
17 author per 10,000
7 dialect per 10,000
sort
17 author per 10,000
2 dialect per 10,000
since
17 author per 10,000
1 dialect per 10,000
loved
17 author per 10,000
0 dialect per 10,000
avery
17 author per 10,000
0 dialect per 10,000
main
17 author per 10,000
1 dialect per 10,000
mrs
17 author per 10,000
7 dialect per 10,000
caw
17 author per 10,000
0 dialect per 10,000
place
17 author per 10,000
5 dialect per 10,000
area
17 author per 10,000
0 dialect per 10,000
face
17 author per 10,000
5 dialect per 10,000
stopped
17 author per 10,000
0 dialect per 10,000
reason
17 author per 10,000
1 dialect per 10,000
forgetting
17 author per 10,000
0 dialect per 10,000
check
17 author per 10,000
0 dialect per 10,000
mind
17 author per 10,000
8 dialect per 10,000
was
17 author per 10,000
58 dialect per 10,000
meenits
17 author per 10,000
2 dialect per 10,000
if
17 author per 10,000
17 dialect per 10,000
oors
17 author per 10,000
1 dialect per 10,000
notice
17 author per 10,000
1 dialect per 10,000
barely
17 author per 10,000
0 dialect per 10,000
other
17 author per 10,000
1 dialect per 10,000
goodbye
17 author per 10,000
0 dialect per 10,000
race
17 author per 10,000
0 dialect per 10,000
look
17 author per 10,000
4 dialect per 10,000
show
17 author per 10,000
1 dialect per 10,000
day
17 author per 10,000
17 dialect per 10,000
corner
17 author per 10,000
2 dialect per 10,000
voice
17 author per 10,000
8 dialect per 10,000
withoot
17 author per 10,000
4 dialect per 10,000
lost
17 author per 10,000
2 dialect per 10,000
seen
17 author per 10,000
5 dialect per 10,000
trying
17 author per 10,000
0 dialect per 10,000
believe
17 author per 10,000
1 dialect per 10,000
friends
17 author per 10,000
0 dialect per 10,000
ages
17 author per 10,000
0 dialect per 10,000
rather
9 author per 10,000
0 dialect per 10,000
grand
9 author per 10,000
2 dialect per 10,000
names
9 author per 10,000
2 dialect per 10,000
arrive
9 author per 10,000
0 dialect per 10,000
grass
9 author per 10,000
0 dialect per 10,000
rest
9 author per 10,000
3 dialect per 10,000
space
9 author per 10,000
0 dialect per 10,000
front
9 author per 10,000
1 dialect per 10,000
storey
9 author per 10,000
0 dialect per 10,000
building
9 author per 10,000
0 dialect per 10,000
quick
9 author per 10,000
2 dialect per 10,000
covered
9 author per 10,000
0 dialect per 10,000
examine
9 author per 10,000
0 dialect per 10,000
relatively
9 author per 10,000
0 dialect per 10,000
comes
9 author per 10,000
2 dialect per 10,000
woman
9 author per 10,000
0 dialect per 10,000
recognise
9 author per 10,000
0 dialect per 10,000
fast
9 author per 10,000
1 dialect per 10,000
crossed
9 author per 10,000
1 dialect per 10,000
path
9 author per 10,000
0 dialect per 10,000
stuff
9 author per 10,000
1 dialect per 10,000
gone
9 author per 10,000
1 dialect per 10,000
getting
9 author per 10,000
0 dialect per 10,000
focused
9 author per 10,000
0 dialect per 10,000
say
9 author per 10,000
17 dialect per 10,000
bar
9 author per 10,000
0 dialect per 10,000
shocked
9 author per 10,000
0 dialect per 10,000
average
9 author per 10,000
0 dialect per 10,000
checking
9 author per 10,000
0 dialect per 10,000
sae
9 author per 10,000
28 dialect per 10,000
said
9 author per 10,000
65 dialect per 10,000
saying
9 author per 10,000
0 dialect per 10,000
take
9 author per 10,000
0 dialect per 10,000
decision
9 author per 10,000
0 dialect per 10,000
made
9 author per 10,000
6 dialect per 10,000
reasons
9 author per 10,000
0 dialect per 10,000
dae
9 author per 10,000
14 dialect per 10,000
spend
9 author per 10,000
0 dialect per 10,000
constant
9 author per 10,000
0 dialect per 10,000
having
9 author per 10,000
0 dialect per 10,000
dress
9 author per 10,000
0 dialect per 10,000
shivering
9 author per 10,000
0 dialect per 10,000
Ulster
ah
531 author per 10,000
11 dialect per 10,000
the
453 author per 10,000
345 dialect per 10,000
tae
305 author per 10,000
253 dialect per 10,000
her
261 author per 10,000
8 dialect per 10,000
and
174 author per 10,000
10 dialect per 10,000
she
157 author per 10,000
31 dialect per 10,000
in
157 author per 10,000
121 dialect per 10,000
a
157 author per 10,000
287 dialect per 10,000
it
157 author per 10,000
73 dialect per 10,000
o
148 author per 10,000
208 dialect per 10,000
that
104 author per 10,000
71 dialect per 10,000
wis
104 author per 10,000
1 dialect per 10,000
s
104 author per 10,000
11 dialect per 10,000
ma
96 author per 10,000
23 dialect per 10,000
as
87 author per 10,000
31 dialect per 10,000
for
87 author per 10,000
30 dialect per 10,000
wi
87 author per 10,000
63 dialect per 10,000
me
87 author per 10,000
24 dialect per 10,000
aw
87 author per 10,000
1 dialect per 10,000
ower
87 author per 10,000
18 dialect per 10,000
time
78 author per 10,000
13 dialect per 10,000
is
78 author per 10,000
18 dialect per 10,000
m
78 author per 10,000
1 dialect per 10,000
an
70 author per 10,000
358 dialect per 10,000
be
70 author per 10,000
39 dialect per 10,000
awmaist
70 author per 10,000
0 dialect per 10,000
had
70 author per 10,000
22 dialect per 10,000
evelynn
70 author per 10,000
0 dialect per 10,000
fae
61 author per 10,000
13 dialect per 10,000
even
61 author per 10,000
4 dialect per 10,000
at
61 author per 10,000
58 dialect per 10,000
t
52 author per 10,000
2 dialect per 10,000
oot
52 author per 10,000
49 dialect per 10,000
ve
52 author per 10,000
0 dialect per 10,000
we
52 author per 10,000
18 dialect per 10,000
on
52 author per 10,000
57 dialect per 10,000
aboot
52 author per 10,000
27 dialect per 10,000
now
52 author per 10,000
0 dialect per 10,000
like
52 author per 10,000
9 dialect per 10,000
where
44 author per 10,000
1 dialect per 10,000
don
44 author per 10,000
0 dialect per 10,000
ye
44 author per 10,000
79 dialect per 10,000
are
44 author per 10,000
4 dialect per 10,000
has
44 author per 10,000
1 dialect per 10,000
wid
44 author per 10,000
1 dialect per 10,000
here
44 author per 10,000
10 dialect per 10,000
who
44 author per 10,000
2 dialect per 10,000
when
44 author per 10,000
2 dialect per 10,000
been
44 author per 10,000
2 dialect per 10,000
this
44 author per 10,000
27 dialect per 10,000
car
35 author per 10,000
0 dialect per 10,000
no
35 author per 10,000
22 dialect per 10,000
find
35 author per 10,000
1 dialect per 10,000
going
35 author per 10,000
0 dialect per 10,000
there
35 author per 10,000
8 dialect per 10,000
them
35 author per 10,000
8 dialect per 10,000
to
35 author per 10,000
3 dialect per 10,000
see
35 author per 10,000
16 dialect per 10,000
oor
35 author per 10,000
15 dialect per 10,000
but
35 author per 10,000
41 dialect per 10,000
nurse
35 author per 10,000
0 dialect per 10,000
ll
35 author per 10,000
4 dialect per 10,000
just
35 author per 10,000
1 dialect per 10,000
night
35 author per 10,000
1 dialect per 10,000
go
35 author per 10,000
5 dialect per 10,000
leave
35 author per 10,000
0 dialect per 10,000
by
35 author per 10,000
7 dialect per 10,000
feel
35 author per 10,000
2 dialect per 10,000
disease
35 author per 10,000
0 dialect per 10,000
last
26 author per 10,000
4 dialect per 10,000
coudnae
26 author per 10,000
0 dialect per 10,000
thought
26 author per 10,000
0 dialect per 10,000
hoose
26 author per 10,000
14 dialect per 10,000
still
26 author per 10,000
4 dialect per 10,000
door
26 author per 10,000
0 dialect per 10,000
one
26 author per 10,000
0 dialect per 10,000
i
26 author per 10,000
16 dialect per 10,000
thing
26 author per 10,000
7 dialect per 10,000
looking
26 author per 10,000
0 dialect per 10,000
takes
26 author per 10,000
0 dialect per 10,000
some
26 author per 10,000
7 dialect per 10,000
¦
26 author per 10,000
0 dialect per 10,000
wan
26 author per 10,000
0 dialect per 10,000
us
26 author per 10,000
4 dialect per 10,000
have
26 author per 10,000
1 dialect per 10,000
get
26 author per 10,000
9 dialect per 10,000
anely
26 author per 10,000
0 dialect per 10,000
things
26 author per 10,000
4 dialect per 10,000
come
26 author per 10,000
10 dialect per 10,000
whit
26 author per 10,000
1 dialect per 10,000
first
26 author per 10,000
2 dialect per 10,000
then
26 author per 10,000
17 dialect per 10,000
maist
26 author per 10,000
6 dialect per 10,000
hame
26 author per 10,000
10 dialect per 10,000
times
26 author per 10,000
3 dialect per 10,000
alzheimer
17 author per 10,000
0 dialect per 10,000
patients
17 author per 10,000
0 dialect per 10,000
walk
17 author per 10,000
0 dialect per 10,000
job
17 author per 10,000
0 dialect per 10,000
back
17 author per 10,000
2 dialect per 10,000
away
17 author per 10,000
2 dialect per 10,000
round
17 author per 10,000
0 dialect per 10,000
did
17 author per 10,000
5 dialect per 10,000
talk
17 author per 10,000
1 dialect per 10,000
give
17 author per 10,000
0 dialect per 10,000
meet
17 author per 10,000
1 dialect per 10,000
need
17 author per 10,000
4 dialect per 10,000
could
17 author per 10,000
1 dialect per 10,000
they
17 author per 10,000
26 dialect per 10,000
into
17 author per 10,000
0 dialect per 10,000
nae
17 author per 10,000
22 dialect per 10,000
went
17 author per 10,000
12 dialect per 10,000
through
17 author per 10,000
3 dialect per 10,000
two
17 author per 10,000
1 dialect per 10,000
entrance
17 author per 10,000
0 dialect per 10,000
eyes
17 author per 10,000
1 dialect per 10,000
small
17 author per 10,000
0 dialect per 10,000
out
17 author per 10,000
1 dialect per 10,000
every
17 author per 10,000
0 dialect per 10,000
up
17 author per 10,000
32 dialect per 10,000
straight
17 author per 10,000
0 dialect per 10,000
d
17 author per 10,000
2 dialect per 10,000
sort
17 author per 10,000
0 dialect per 10,000
since
17 author per 10,000
1 dialect per 10,000
loved
17 author per 10,000
0 dialect per 10,000
avery
17 author per 10,000
0 dialect per 10,000
main
17 author per 10,000
1 dialect per 10,000
mrs
17 author per 10,000
2 dialect per 10,000
caw
17 author per 10,000
0 dialect per 10,000
place
17 author per 10,000
7 dialect per 10,000
area
17 author per 10,000
0 dialect per 10,000
face
17 author per 10,000
4 dialect per 10,000
stopped
17 author per 10,000
0 dialect per 10,000
reason
17 author per 10,000
0 dialect per 10,000
forgetting
17 author per 10,000
0 dialect per 10,000
check
17 author per 10,000
0 dialect per 10,000
mind
17 author per 10,000
2 dialect per 10,000
was
17 author per 10,000
22 dialect per 10,000
meenits
17 author per 10,000
0 dialect per 10,000
if
17 author per 10,000
14 dialect per 10,000
oors
17 author per 10,000
1 dialect per 10,000
notice
17 author per 10,000
0 dialect per 10,000
barely
17 author per 10,000
0 dialect per 10,000
other
17 author per 10,000
0 dialect per 10,000
goodbye
17 author per 10,000
0 dialect per 10,000
race
17 author per 10,000
1 dialect per 10,000
look
17 author per 10,000
1 dialect per 10,000
show
17 author per 10,000
2 dialect per 10,000
day
17 author per 10,000
15 dialect per 10,000
corner
17 author per 10,000
1 dialect per 10,000
voice
17 author per 10,000
5 dialect per 10,000
withoot
17 author per 10,000
1 dialect per 10,000
lost
17 author per 10,000
1 dialect per 10,000
seen
17 author per 10,000
4 dialect per 10,000
trying
17 author per 10,000
0 dialect per 10,000
believe
17 author per 10,000
1 dialect per 10,000
friends
17 author per 10,000
0 dialect per 10,000
ages
17 author per 10,000
0 dialect per 10,000
rather
9 author per 10,000
0 dialect per 10,000
grand
9 author per 10,000
0 dialect per 10,000
names
9 author per 10,000
0 dialect per 10,000
arrive
9 author per 10,000
0 dialect per 10,000
grass
9 author per 10,000
1 dialect per 10,000
rest
9 author per 10,000
2 dialect per 10,000
space
9 author per 10,000
1 dialect per 10,000
front
9 author per 10,000
1 dialect per 10,000
storey
9 author per 10,000
0 dialect per 10,000
building
9 author per 10,000
0 dialect per 10,000
quick
9 author per 10,000
1 dialect per 10,000
covered
9 author per 10,000
0 dialect per 10,000
examine
9 author per 10,000
0 dialect per 10,000
relatively
9 author per 10,000
0 dialect per 10,000
comes
9 author per 10,000
1 dialect per 10,000
woman
9 author per 10,000
0 dialect per 10,000
recognise
9 author per 10,000
0 dialect per 10,000
fast
9 author per 10,000
1 dialect per 10,000
crossed
9 author per 10,000
0 dialect per 10,000
path
9 author per 10,000
0 dialect per 10,000
stuff
9 author per 10,000
1 dialect per 10,000
gone
9 author per 10,000
1 dialect per 10,000
getting
9 author per 10,000
0 dialect per 10,000
focused
9 author per 10,000
0 dialect per 10,000
say
9 author per 10,000
10 dialect per 10,000
bar
9 author per 10,000
0 dialect per 10,000
shocked
9 author per 10,000
0 dialect per 10,000
average
9 author per 10,000
0 dialect per 10,000
checking
9 author per 10,000
0 dialect per 10,000
sae
9 author per 10,000
25 dialect per 10,000
said
9 author per 10,000
32 dialect per 10,000
saying
9 author per 10,000
0 dialect per 10,000
take
9 author per 10,000
1 dialect per 10,000
decision
9 author per 10,000
0 dialect per 10,000
made
9 author per 10,000
6 dialect per 10,000
reasons
9 author per 10,000
0 dialect per 10,000
dae
9 author per 10,000
23 dialect per 10,000
spend
9 author per 10,000
0 dialect per 10,000
constant
9 author per 10,000
0 dialect per 10,000
having
9 author per 10,000
0 dialect per 10,000
dress
9 author per 10,000
0 dialect per 10,000
shivering
9 author per 10,000
0 dialect per 10,000