Central
the
396 author per 10,000
565 dialect per 10,000
a
351 author per 10,000
266 dialect per 10,000
an
272 author per 10,000
225 dialect per 10,000
in
215 author per 10,000
147 dialect per 10,000
e
192 author per 10,000
2 dialect per 10,000
we
190 author per 10,000
33 dialect per 10,000
it
153 author per 10,000
116 dialect per 10,000
he
150 author per 10,000
87 dialect per 10,000
wiz
141 author per 10,000
2 dialect per 10,000
o
141 author per 10,000
185 dialect per 10,000
130 author per 10,000
22 dialect per 10,000
s
130 author per 10,000
32 dialect per 10,000
i
107 author per 10,000
39 dialect per 10,000
me
105 author per 10,000
40 dialect per 10,000
tae
88 author per 10,000
211 dialect per 10,000
for
76 author per 10,000
48 dialect per 10,000
on
71 author per 10,000
55 dialect per 10,000
oot
71 author per 10,000
40 dialect per 10,000
door
68 author per 10,000
6 dialect per 10,000
that
68 author per 10,000
106 dialect per 10,000
key
62 author per 10,000
1 dialect per 10,000
she
62 author per 10,000
56 dialect per 10,000
back
59 author per 10,000
20 dialect per 10,000
his
59 author per 10,000
59 dialect per 10,000
wi
57 author per 10,000
67 dialect per 10,000
m
57 author per 10,000
6 dialect per 10,000
at
54 author per 10,000
59 dialect per 10,000
ma
54 author per 10,000
51 dialect per 10,000
bit
54 author per 10,000
18 dialect per 10,000
nae
51 author per 10,000
24 dialect per 10,000
doon
51 author per 10,000
18 dialect per 10,000
up
48 author per 10,000
40 dialect per 10,000
ye
45 author per 10,000
62 dialect per 10,000
wis
45 author per 10,000
97 dialect per 10,000
is
42 author per 10,000
58 dialect per 10,000
as
42 author per 10,000
59 dialect per 10,000
fit
42 author per 10,000
2 dialect per 10,000
ti
40 author per 10,000
18 dialect per 10,000
her
40 author per 10,000
46 dialect per 10,000
jist
40 author per 10,000
20 dialect per 10,000
there
40 author per 10,000
23 dialect per 10,000
says
37 author per 10,000
7 dialect per 10,000
time
37 author per 10,000
18 dialect per 10,000
aboot
37 author per 10,000
29 dialect per 10,000
whit
37 author per 10,000
29 dialect per 10,000
aa
34 author per 10,000
14 dialect per 10,000
aye
34 author per 10,000
16 dialect per 10,000
like
34 author per 10,000
28 dialect per 10,000
ken
34 author per 10,000
14 dialect per 10,000
intae
34 author per 10,000
18 dialect per 10,000
wid
31 author per 10,000
8 dialect per 10,000
this
31 author per 10,000
41 dialect per 10,000
aat
31 author per 10,000
0 dialect per 10,000
you
31 author per 10,000
15 dialect per 10,000
or
31 author per 10,000
29 dialect per 10,000
hid
28 author per 10,000
2 dialect per 10,000
lang
28 author per 10,000
10 dialect per 10,000
ll
28 author per 10,000
4 dialect per 10,000
then
28 author per 10,000
17 dialect per 10,000
if
28 author per 10,000
17 dialect per 10,000
get
28 author per 10,000
14 dialect per 10,000
him
28 author per 10,000
29 dialect per 10,000
yin
28 author per 10,000
10 dialect per 10,000
noo
28 author per 10,000
14 dialect per 10,000
wee
25 author per 10,000
29 dialect per 10,000
day
25 author per 10,000
14 dialect per 10,000
place
25 author per 10,000
5 dialect per 10,000
awa
25 author per 10,000
12 dialect per 10,000
aw
25 author per 10,000
39 dialect per 10,000
twa
25 author per 10,000
10 dialect per 10,000
they
25 author per 10,000
41 dialect per 10,000
cunt
23 author per 10,000
2 dialect per 10,000
ony
23 author per 10,000
7 dialect per 10,000
een
23 author per 10,000
5 dialect per 10,000
schyoopit
23 author per 10,000
0 dialect per 10,000
-
23 author per 10,000
27 dialect per 10,000
money
23 author per 10,000
2 dialect per 10,000
fuckin
23 author per 10,000
5 dialect per 10,000
kieran
23 author per 10,000
0 dialect per 10,000
bag
23 author per 10,000
1 dialect per 10,000
hoose
23 author per 10,000
7 dialect per 10,000
iss
23 author per 10,000
0 dialect per 10,000
anither
23 author per 10,000
7 dialect per 10,000
no
20 author per 10,000
36 dialect per 10,000
ower
20 author per 10,000
19 dialect per 10,000
them
20 author per 10,000
18 dialect per 10,000
re
20 author per 10,000
3 dialect per 10,000
some
20 author per 10,000
13 dialect per 10,000
d
20 author per 10,000
6 dialect per 10,000
thon
20 author per 10,000
7 dialect per 10,000
can
20 author per 10,000
14 dialect per 10,000
nicht
20 author per 10,000
6 dialect per 10,000
till
20 author per 10,000
3 dialect per 10,000
roon
20 author per 10,000
4 dialect per 10,000
oan
20 author per 10,000
20 dialect per 10,000
mair
20 author per 10,000
20 dialect per 10,000
wyte
17 author per 10,000
0 dialect per 10,000
hear
17 author per 10,000
4 dialect per 10,000
hiv
17 author per 10,000
2 dialect per 10,000
come
17 author per 10,000
9 dialect per 10,000
windae
17 author per 10,000
2 dialect per 10,000
dae
17 author per 10,000
17 dialect per 10,000
see
17 author per 10,000
17 dialect per 10,000
t
17 author per 10,000
3 dialect per 10,000
addy
17 author per 10,000
0 dialect per 10,000
be
17 author per 10,000
48 dialect per 10,000
and
17 author per 10,000
94 dialect per 10,000
fae
17 author per 10,000
26 dialect per 10,000
frae
17 author per 10,000
16 dialect per 10,000
been
17 author per 10,000
18 dialect per 10,000
afore
17 author per 10,000
10 dialect per 10,000
look
17 author per 10,000
5 dialect per 10,000
oor
17 author per 10,000
15 dialect per 10,000
nivvir
17 author per 10,000
0 dialect per 10,000
hooses
17 author per 10,000
1 dialect per 10,000
far
17 author per 10,000
2 dialect per 10,000
kitchen
17 author per 10,000
1 dialect per 10,000
said
17 author per 10,000
40 dialect per 10,000
hine
17 author per 10,000
0 dialect per 10,000
inside
14 author per 10,000
2 dialect per 10,000
fin
14 author per 10,000
1 dialect per 10,000
tell
14 author per 10,000
8 dialect per 10,000
goat
14 author per 10,000
3 dialect per 10,000
so
14 author per 10,000
10 dialect per 10,000
hame
14 author per 10,000
6 dialect per 10,000
whin
14 author per 10,000
1 dialect per 10,000
cupboard
14 author per 10,000
0 dialect per 10,000
open
14 author per 10,000
3 dialect per 10,000
side
14 author per 10,000
3 dialect per 10,000
here
14 author per 10,000
12 dialect per 10,000
aidan
14 author per 10,000
0 dialect per 10,000
wir
14 author per 10,000
4 dialect per 10,000
bushes
14 author per 10,000
0 dialect per 10,000
hoo
14 author per 10,000
3 dialect per 10,000
ee
14 author per 10,000
2 dialect per 10,000
14 author per 10,000
39 dialect per 10,000
yir
14 author per 10,000
4 dialect per 10,000
14 author per 10,000
0 dialect per 10,000
drive
14 author per 10,000
0 dialect per 10,000
are
14 author per 10,000
17 dialect per 10,000
lookin
11 author per 10,000
3 dialect per 10,000
near
11 author per 10,000
3 dialect per 10,000
ve
11 author per 10,000
4 dialect per 10,000
wye
11 author per 10,000
0 dialect per 10,000
names
11 author per 10,000
1 dialect per 10,000
we
11 author per 10,000
0 dialect per 10,000
seen
11 author per 10,000
6 dialect per 10,000
am
11 author per 10,000
3 dialect per 10,000
right
11 author per 10,000
5 dialect per 10,000
deen
11 author per 10,000
0 dialect per 10,000
sneak
11 author per 10,000
0 dialect per 10,000
whit
11 author per 10,000
0 dialect per 10,000
ahint
11 author per 10,000
3 dialect per 10,000
think
11 author per 10,000
9 dialect per 10,000
did
11 author per 10,000
9 dialect per 10,000
ilka
11 author per 10,000
4 dialect per 10,000
pal
11 author per 10,000
2 dialect per 10,000
of
11 author per 10,000
11 dialect per 10,000
hell
11 author per 10,000
1 dialect per 10,000
wan
11 author per 10,000
9 dialect per 10,000
nivver
11 author per 10,000
2 dialect per 10,000
last
11 author per 10,000
6 dialect per 10,000
breakin
11 author per 10,000
0 dialect per 10,000
naethin
11 author per 10,000
2 dialect per 10,000
next
11 author per 10,000
3 dialect per 10,000
go
11 author per 10,000
6 dialect per 10,000
need
11 author per 10,000
5 dialect per 10,000
comes
11 author per 10,000
3 dialect per 10,000
maakin
11 author per 10,000
0 dialect per 10,000
efter
8 author per 10,000
10 dialect per 10,000
rossie
8 author per 10,000
0 dialect per 10,000
em
8 author per 10,000
0 dialect per 10,000
wark
8 author per 10,000
3 dialect per 10,000
wunnerin
8 author per 10,000
0 dialect per 10,000
coat
8 author per 10,000
1 dialect per 10,000
posh
8 author per 10,000
0 dialect per 10,000
avenue
8 author per 10,000
0 dialect per 10,000
kens
8 author per 10,000
1 dialect per 10,000
cried
8 author per 10,000
4 dialect per 10,000
park
8 author per 10,000
1 dialect per 10,000
goes
8 author per 10,000
1 dialect per 10,000
tak
8 author per 10,000
8 dialect per 10,000
v
8 author per 10,000
0 dialect per 10,000
daft
8 author per 10,000
2 dialect per 10,000
first
8 author per 10,000
9 dialect per 10,000
took
8 author per 10,000
3 dialect per 10,000
grun
8 author per 10,000
1 dialect per 10,000
ett
8 author per 10,000
0 dialect per 10,000
airms
8 author per 10,000
1 dialect per 10,000
joab
8 author per 10,000
1 dialect per 10,000
yer
8 author per 10,000
21 dialect per 10,000
soon
8 author per 10,000
2 dialect per 10,000
ivvir
8 author per 10,000
0 dialect per 10,000
gettin
8 author per 10,000
4 dialect per 10,000
idea
8 author per 10,000
2 dialect per 10,000
biscuits
8 author per 10,000
0 dialect per 10,000
your
8 author per 10,000
5 dialect per 10,000
moira
8 author per 10,000
0 dialect per 10,000
cleaner
8 author per 10,000
0 dialect per 10,000
loons
8 author per 10,000
0 dialect per 10,000
Doric
the
396 author per 10,000
452 dialect per 10,000
a
351 author per 10,000
315 dialect per 10,000
an
272 author per 10,000
306 dialect per 10,000
in
215 author per 10,000
130 dialect per 10,000
e
192 author per 10,000
68 dialect per 10,000
we
190 author per 10,000
33 dialect per 10,000
it
153 author per 10,000
99 dialect per 10,000
he
150 author per 10,000
96 dialect per 10,000
wiz
141 author per 10,000
13 dialect per 10,000
o
141 author per 10,000
176 dialect per 10,000
130 author per 10,000
16 dialect per 10,000
s
130 author per 10,000
21 dialect per 10,000
i
107 author per 10,000
68 dialect per 10,000
me
105 author per 10,000
32 dialect per 10,000
tae
88 author per 10,000
171 dialect per 10,000
for
76 author per 10,000
45 dialect per 10,000
on
71 author per 10,000
67 dialect per 10,000
oot
71 author per 10,000
50 dialect per 10,000
door
68 author per 10,000
8 dialect per 10,000
that
68 author per 10,000
53 dialect per 10,000
key
62 author per 10,000
1 dialect per 10,000
she
62 author per 10,000
66 dialect per 10,000
back
59 author per 10,000
21 dialect per 10,000
his
59 author per 10,000
69 dialect per 10,000
wi
57 author per 10,000
77 dialect per 10,000
m
57 author per 10,000
3 dialect per 10,000
at
54 author per 10,000
68 dialect per 10,000
ma
54 author per 10,000
50 dialect per 10,000
bit
54 author per 10,000
43 dialect per 10,000
nae
51 author per 10,000
50 dialect per 10,000
doon
51 author per 10,000
33 dialect per 10,000
up
48 author per 10,000
47 dialect per 10,000
ye
45 author per 10,000
93 dialect per 10,000
wis
45 author per 10,000
105 dialect per 10,000
is
42 author per 10,000
39 dialect per 10,000
as
42 author per 10,000
52 dialect per 10,000
fit
42 author per 10,000
40 dialect per 10,000
ti
40 author per 10,000
9 dialect per 10,000
her
40 author per 10,000
64 dialect per 10,000
jist
40 author per 10,000
36 dialect per 10,000
there
40 author per 10,000
22 dialect per 10,000
says
37 author per 10,000
10 dialect per 10,000
time
37 author per 10,000
19 dialect per 10,000
aboot
37 author per 10,000
33 dialect per 10,000
whit
37 author per 10,000
2 dialect per 10,000
aa
34 author per 10,000
43 dialect per 10,000
aye
34 author per 10,000
22 dialect per 10,000
like
34 author per 10,000
37 dialect per 10,000
ken
34 author per 10,000
23 dialect per 10,000
intae
34 author per 10,000
10 dialect per 10,000
wid
31 author per 10,000
18 dialect per 10,000
this
31 author per 10,000
19 dialect per 10,000
aat
31 author per 10,000
13 dialect per 10,000
you
31 author per 10,000
17 dialect per 10,000
or
31 author per 10,000
26 dialect per 10,000
hid
28 author per 10,000
34 dialect per 10,000
lang
28 author per 10,000
13 dialect per 10,000
ll
28 author per 10,000
4 dialect per 10,000
then
28 author per 10,000
9 dialect per 10,000
if
28 author per 10,000
16 dialect per 10,000
get
28 author per 10,000
16 dialect per 10,000
him
28 author per 10,000
30 dialect per 10,000
yin
28 author per 10,000
2 dialect per 10,000
noo
28 author per 10,000
23 dialect per 10,000
wee
25 author per 10,000
18 dialect per 10,000
day
25 author per 10,000
26 dialect per 10,000
place
25 author per 10,000
5 dialect per 10,000
awa
25 author per 10,000
21 dialect per 10,000
aw
25 author per 10,000
4 dialect per 10,000
twa
25 author per 10,000
18 dialect per 10,000
they
25 author per 10,000
36 dialect per 10,000
cunt
23 author per 10,000
0 dialect per 10,000
ony
23 author per 10,000
8 dialect per 10,000
een
23 author per 10,000
19 dialect per 10,000
schyoopit
23 author per 10,000
0 dialect per 10,000
-
23 author per 10,000
28 dialect per 10,000
money
23 author per 10,000
1 dialect per 10,000
fuckin
23 author per 10,000
0 dialect per 10,000
kieran
23 author per 10,000
0 dialect per 10,000
bag
23 author per 10,000
1 dialect per 10,000
hoose
23 author per 10,000
10 dialect per 10,000
iss
23 author per 10,000
7 dialect per 10,000
anither
23 author per 10,000
8 dialect per 10,000
no
20 author per 10,000
7 dialect per 10,000
ower
20 author per 10,000
30 dialect per 10,000
them
20 author per 10,000
23 dialect per 10,000
re
20 author per 10,000
1 dialect per 10,000
some
20 author per 10,000
13 dialect per 10,000
d
20 author per 10,000
10 dialect per 10,000
thon
20 author per 10,000
3 dialect per 10,000
can
20 author per 10,000
12 dialect per 10,000
nicht
20 author per 10,000
12 dialect per 10,000
till
20 author per 10,000
27 dialect per 10,000
roon
20 author per 10,000
11 dialect per 10,000
oan
20 author per 10,000
8 dialect per 10,000
mair
20 author per 10,000
17 dialect per 10,000
wyte
17 author per 10,000
1 dialect per 10,000
hear
17 author per 10,000
4 dialect per 10,000
hiv
17 author per 10,000
9 dialect per 10,000
come
17 author per 10,000
13 dialect per 10,000
windae
17 author per 10,000
2 dialect per 10,000
dae
17 author per 10,000
5 dialect per 10,000
see
17 author per 10,000
21 dialect per 10,000
t
17 author per 10,000
2 dialect per 10,000
addy
17 author per 10,000
0 dialect per 10,000
be
17 author per 10,000
45 dialect per 10,000
and
17 author per 10,000
41 dialect per 10,000
fae
17 author per 10,000
30 dialect per 10,000
frae
17 author per 10,000
10 dialect per 10,000
been
17 author per 10,000
13 dialect per 10,000
afore
17 author per 10,000
14 dialect per 10,000
look
17 author per 10,000
7 dialect per 10,000
oor
17 author per 10,000
8 dialect per 10,000
nivvir
17 author per 10,000
0 dialect per 10,000
hooses
17 author per 10,000
1 dialect per 10,000
far
17 author per 10,000
14 dialect per 10,000
kitchen
17 author per 10,000
2 dialect per 10,000
said
17 author per 10,000
36 dialect per 10,000
hine
17 author per 10,000
0 dialect per 10,000
inside
14 author per 10,000
3 dialect per 10,000
fin
14 author per 10,000
19 dialect per 10,000
tell
14 author per 10,000
9 dialect per 10,000
goat
14 author per 10,000
0 dialect per 10,000
so
14 author per 10,000
17 dialect per 10,000
hame
14 author per 10,000
11 dialect per 10,000
whin
14 author per 10,000
1 dialect per 10,000
cupboard
14 author per 10,000
0 dialect per 10,000
open
14 author per 10,000
2 dialect per 10,000
side
14 author per 10,000
5 dialect per 10,000
here
14 author per 10,000
11 dialect per 10,000
aidan
14 author per 10,000
0 dialect per 10,000
wir
14 author per 10,000
5 dialect per 10,000
bushes
14 author per 10,000
0 dialect per 10,000
hoo
14 author per 10,000
1 dialect per 10,000
ee
14 author per 10,000
9 dialect per 10,000
14 author per 10,000
10 dialect per 10,000
yir
14 author per 10,000
1 dialect per 10,000
14 author per 10,000
0 dialect per 10,000
drive
14 author per 10,000
1 dialect per 10,000
are
14 author per 10,000
13 dialect per 10,000
lookin
11 author per 10,000
3 dialect per 10,000
near
11 author per 10,000
6 dialect per 10,000
ve
11 author per 10,000
2 dialect per 10,000
wye
11 author per 10,000
12 dialect per 10,000
names
11 author per 10,000
1 dialect per 10,000
we
11 author per 10,000
0 dialect per 10,000
seen
11 author per 10,000
8 dialect per 10,000
am
11 author per 10,000
4 dialect per 10,000
right
11 author per 10,000
1 dialect per 10,000
deen
11 author per 10,000
4 dialect per 10,000
sneak
11 author per 10,000
0 dialect per 10,000
whit
11 author per 10,000
0 dialect per 10,000
ahint
11 author per 10,000
1 dialect per 10,000
think
11 author per 10,000
11 dialect per 10,000
did
11 author per 10,000
10 dialect per 10,000
ilka
11 author per 10,000
2 dialect per 10,000
pal
11 author per 10,000
1 dialect per 10,000
of
11 author per 10,000
8 dialect per 10,000
hell
11 author per 10,000
2 dialect per 10,000
wan
11 author per 10,000
3 dialect per 10,000
nivver
11 author per 10,000
8 dialect per 10,000
last
11 author per 10,000
5 dialect per 10,000
breakin
11 author per 10,000
0 dialect per 10,000
naethin
11 author per 10,000
3 dialect per 10,000
next
11 author per 10,000
3 dialect per 10,000
go
11 author per 10,000
4 dialect per 10,000
need
11 author per 10,000
5 dialect per 10,000
comes
11 author per 10,000
4 dialect per 10,000
maakin
11 author per 10,000
0 dialect per 10,000
efter
8 author per 10,000
10 dialect per 10,000
rossie
8 author per 10,000
0 dialect per 10,000
em
8 author per 10,000
3 dialect per 10,000
wark
8 author per 10,000
1 dialect per 10,000
wunnerin
8 author per 10,000
0 dialect per 10,000
coat
8 author per 10,000
1 dialect per 10,000
posh
8 author per 10,000
0 dialect per 10,000
avenue
8 author per 10,000
0 dialect per 10,000
kens
8 author per 10,000
1 dialect per 10,000
cried
8 author per 10,000
2 dialect per 10,000
park
8 author per 10,000
3 dialect per 10,000
goes
8 author per 10,000
0 dialect per 10,000
tak
8 author per 10,000
11 dialect per 10,000
v
8 author per 10,000
0 dialect per 10,000
daft
8 author per 10,000
1 dialect per 10,000
first
8 author per 10,000
7 dialect per 10,000
took
8 author per 10,000
4 dialect per 10,000
grun
8 author per 10,000
3 dialect per 10,000
ett
8 author per 10,000
1 dialect per 10,000
airms
8 author per 10,000
2 dialect per 10,000
joab
8 author per 10,000
0 dialect per 10,000
yer
8 author per 10,000
35 dialect per 10,000
soon
8 author per 10,000
2 dialect per 10,000
ivvir
8 author per 10,000
0 dialect per 10,000
gettin
8 author per 10,000
4 dialect per 10,000
idea
8 author per 10,000
2 dialect per 10,000
biscuits
8 author per 10,000
0 dialect per 10,000
your
8 author per 10,000
4 dialect per 10,000
moira
8 author per 10,000
0 dialect per 10,000
cleaner
8 author per 10,000
0 dialect per 10,000
loons
8 author per 10,000
2 dialect per 10,000
Shetland
the
396 author per 10,000
18 dialect per 10,000
a
351 author per 10,000
280 dialect per 10,000
an
272 author per 10,000
330 dialect per 10,000
in
215 author per 10,000
105 dialect per 10,000
e
192 author per 10,000
2 dialect per 10,000
we
190 author per 10,000
44 dialect per 10,000
it
153 author per 10,000
58 dialect per 10,000
he
150 author per 10,000
103 dialect per 10,000
wiz
141 author per 10,000
0 dialect per 10,000
o
141 author per 10,000
177 dialect per 10,000
130 author per 10,000
17 dialect per 10,000
s
130 author per 10,000
15 dialect per 10,000
i
107 author per 10,000
143 dialect per 10,000
me
105 author per 10,000
41 dialect per 10,000
tae
88 author per 10,000
86 dialect per 10,000
for
76 author per 10,000
35 dialect per 10,000
on
71 author per 10,000
52 dialect per 10,000
oot
71 author per 10,000
42 dialect per 10,000
door
68 author per 10,000
7 dialect per 10,000
that
68 author per 10,000
4 dialect per 10,000
key
62 author per 10,000
1 dialect per 10,000
she
62 author per 10,000
7 dialect per 10,000
back
59 author per 10,000
18 dialect per 10,000
his
59 author per 10,000
52 dialect per 10,000
wi
57 author per 10,000
95 dialect per 10,000
m
57 author per 10,000
5 dialect per 10,000
at
54 author per 10,000
112 dialect per 10,000
ma
54 author per 10,000
0 dialect per 10,000
bit
54 author per 10,000
38 dialect per 10,000
nae
51 author per 10,000
23 dialect per 10,000
doon
51 author per 10,000
22 dialect per 10,000
up
48 author per 10,000
42 dialect per 10,000
ye
45 author per 10,000
0 dialect per 10,000
wis
45 author per 10,000
162 dialect per 10,000
is
42 author per 10,000
81 dialect per 10,000
as
42 author per 10,000
79 dialect per 10,000
fit
42 author per 10,000
4 dialect per 10,000
ti
40 author per 10,000
0 dialect per 10,000
her
40 author per 10,000
64 dialect per 10,000
jist
40 author per 10,000
0 dialect per 10,000
there
40 author per 10,000
1 dialect per 10,000
says
37 author per 10,000
5 dialect per 10,000
time
37 author per 10,000
21 dialect per 10,000
aboot
37 author per 10,000
41 dialect per 10,000
whit
37 author per 10,000
39 dialect per 10,000
aa
34 author per 10,000
51 dialect per 10,000
aye
34 author per 10,000
11 dialect per 10,000
like
34 author per 10,000
2 dialect per 10,000
ken
34 author per 10,000
14 dialect per 10,000
intae
34 author per 10,000
8 dialect per 10,000
wid
31 author per 10,000
38 dialect per 10,000
this
31 author per 10,000
1 dialect per 10,000
aat
31 author per 10,000
0 dialect per 10,000
you
31 author per 10,000
51 dialect per 10,000
or
31 author per 10,000
32 dialect per 10,000
hid
28 author per 10,000
1 dialect per 10,000
lang
28 author per 10,000
11 dialect per 10,000
ll
28 author per 10,000
5 dialect per 10,000
then
28 author per 10,000
1 dialect per 10,000
if
28 author per 10,000
25 dialect per 10,000
get
28 author per 10,000
6 dialect per 10,000
him
28 author per 10,000
47 dialect per 10,000
yin
28 author per 10,000
0 dialect per 10,000
noo
28 author per 10,000
19 dialect per 10,000
wee
25 author per 10,000
0 dialect per 10,000
day
25 author per 10,000
18 dialect per 10,000
place
25 author per 10,000
7 dialect per 10,000
awa
25 author per 10,000
13 dialect per 10,000
aw
25 author per 10,000
0 dialect per 10,000
twa
25 author per 10,000
13 dialect per 10,000
they
25 author per 10,000
2 dialect per 10,000
cunt
23 author per 10,000
0 dialect per 10,000
ony
23 author per 10,000
13 dialect per 10,000
een
23 author per 10,000
20 dialect per 10,000
schyoopit
23 author per 10,000
0 dialect per 10,000
-
23 author per 10,000
53 dialect per 10,000
money
23 author per 10,000
2 dialect per 10,000
fuckin
23 author per 10,000
0 dialect per 10,000
kieran
23 author per 10,000
0 dialect per 10,000
bag
23 author per 10,000
1 dialect per 10,000
hoose
23 author per 10,000
8 dialect per 10,000
iss
23 author per 10,000
0 dialect per 10,000
anither
23 author per 10,000
0 dialect per 10,000
no
20 author per 10,000
35 dialect per 10,000
ower
20 author per 10,000
24 dialect per 10,000
them
20 author per 10,000
1 dialect per 10,000
re
20 author per 10,000
1 dialect per 10,000
some
20 author per 10,000
13 dialect per 10,000
d
20 author per 10,000
2 dialect per 10,000
thon
20 author per 10,000
0 dialect per 10,000
can
20 author per 10,000
20 dialect per 10,000
nicht
20 author per 10,000
3 dialect per 10,000
till
20 author per 10,000
7 dialect per 10,000
roon
20 author per 10,000
0 dialect per 10,000
oan
20 author per 10,000
0 dialect per 10,000
mair
20 author per 10,000
19 dialect per 10,000
wyte
17 author per 10,000
0 dialect per 10,000
hear
17 author per 10,000
4 dialect per 10,000
hiv
17 author per 10,000
1 dialect per 10,000
come
17 author per 10,000
19 dialect per 10,000
windae
17 author per 10,000
0 dialect per 10,000
dae
17 author per 10,000
2 dialect per 10,000
see
17 author per 10,000
20 dialect per 10,000
t
17 author per 10,000
0 dialect per 10,000
addy
17 author per 10,000
0 dialect per 10,000
be
17 author per 10,000
56 dialect per 10,000
and
17 author per 10,000
15 dialect per 10,000
fae
17 author per 10,000
40 dialect per 10,000
frae
17 author per 10,000
0 dialect per 10,000
been
17 author per 10,000
16 dialect per 10,000
afore
17 author per 10,000
15 dialect per 10,000
look
17 author per 10,000
6 dialect per 10,000
oor
17 author per 10,000
1 dialect per 10,000
nivvir
17 author per 10,000
0 dialect per 10,000
hooses
17 author per 10,000
1 dialect per 10,000
far
17 author per 10,000
5 dialect per 10,000
kitchen
17 author per 10,000
0 dialect per 10,000
said
17 author per 10,000
61 dialect per 10,000
hine
17 author per 10,000
0 dialect per 10,000
inside
14 author per 10,000
1 dialect per 10,000
fin
14 author per 10,000
7 dialect per 10,000
tell
14 author per 10,000
8 dialect per 10,000
goat
14 author per 10,000
0 dialect per 10,000
so
14 author per 10,000
26 dialect per 10,000
hame
14 author per 10,000
7 dialect per 10,000
whin
14 author per 10,000
24 dialect per 10,000
cupboard
14 author per 10,000
0 dialect per 10,000
open
14 author per 10,000
1 dialect per 10,000
side
14 author per 10,000
4 dialect per 10,000
here
14 author per 10,000
11 dialect per 10,000
aidan
14 author per 10,000
0 dialect per 10,000
wir
14 author per 10,000
50 dialect per 10,000
bushes
14 author per 10,000
0 dialect per 10,000
hoo
14 author per 10,000
3 dialect per 10,000
ee
14 author per 10,000
11 dialect per 10,000
14 author per 10,000
17 dialect per 10,000
yir
14 author per 10,000
1 dialect per 10,000
14 author per 10,000
0 dialect per 10,000
drive
14 author per 10,000
0 dialect per 10,000
are
14 author per 10,000
2 dialect per 10,000
lookin
11 author per 10,000
4 dialect per 10,000
near
11 author per 10,000
2 dialect per 10,000
ve
11 author per 10,000
1 dialect per 10,000
wye
11 author per 10,000
24 dialect per 10,000
names
11 author per 10,000
1 dialect per 10,000
we
11 author per 10,000
0 dialect per 10,000
seen
11 author per 10,000
6 dialect per 10,000
am
11 author per 10,000
4 dialect per 10,000
right
11 author per 10,000
5 dialect per 10,000
deen
11 author per 10,000
0 dialect per 10,000
sneak
11 author per 10,000
0 dialect per 10,000
whit
11 author per 10,000
1 dialect per 10,000
ahint
11 author per 10,000
4 dialect per 10,000
think
11 author per 10,000
1 dialect per 10,000
did
11 author per 10,000
9 dialect per 10,000
ilka
11 author per 10,000
0 dialect per 10,000
pal
11 author per 10,000
0 dialect per 10,000
of
11 author per 10,000
11 dialect per 10,000
hell
11 author per 10,000
0 dialect per 10,000
wan
11 author per 10,000
13 dialect per 10,000
nivver
11 author per 10,000
7 dialect per 10,000
last
11 author per 10,000
6 dialect per 10,000
breakin
11 author per 10,000
0 dialect per 10,000
naethin
11 author per 10,000
7 dialect per 10,000
next
11 author per 10,000
1 dialect per 10,000
go
11 author per 10,000
2 dialect per 10,000
need
11 author per 10,000
3 dialect per 10,000
comes
11 author per 10,000
5 dialect per 10,000
maakin
11 author per 10,000
0 dialect per 10,000
efter
8 author per 10,000
9 dialect per 10,000
rossie
8 author per 10,000
0 dialect per 10,000
em
8 author per 10,000
0 dialect per 10,000
wark
8 author per 10,000
3 dialect per 10,000
wunnerin
8 author per 10,000
0 dialect per 10,000
coat
8 author per 10,000
0 dialect per 10,000
posh
8 author per 10,000
0 dialect per 10,000
avenue
8 author per 10,000
0 dialect per 10,000
kens
8 author per 10,000
4 dialect per 10,000
cried
8 author per 10,000
2 dialect per 10,000
park
8 author per 10,000
0 dialect per 10,000
goes
8 author per 10,000
1 dialect per 10,000
tak
8 author per 10,000
12 dialect per 10,000
v
8 author per 10,000
0 dialect per 10,000
daft
8 author per 10,000
0 dialect per 10,000
first
8 author per 10,000
10 dialect per 10,000
took
8 author per 10,000
9 dialect per 10,000
grun
8 author per 10,000
0 dialect per 10,000
ett
8 author per 10,000
0 dialect per 10,000
airms
8 author per 10,000
2 dialect per 10,000
joab
8 author per 10,000
0 dialect per 10,000
yer
8 author per 10,000
0 dialect per 10,000
soon
8 author per 10,000
0 dialect per 10,000
ivvir
8 author per 10,000
0 dialect per 10,000
gettin
8 author per 10,000
2 dialect per 10,000
idea
8 author per 10,000
2 dialect per 10,000
biscuits
8 author per 10,000
0 dialect per 10,000
your
8 author per 10,000
9 dialect per 10,000
moira
8 author per 10,000
0 dialect per 10,000
cleaner
8 author per 10,000
0 dialect per 10,000
loons
8 author per 10,000
0 dialect per 10,000
Orkney
the
396 author per 10,000
582 dialect per 10,000
a
351 author per 10,000
298 dialect per 10,000
an
272 author per 10,000
172 dialect per 10,000
in
215 author per 10,000
146 dialect per 10,000
e
192 author per 10,000
0 dialect per 10,000
we
190 author per 10,000
29 dialect per 10,000
it
153 author per 10,000
23 dialect per 10,000
he
150 author per 10,000
85 dialect per 10,000
wiz
141 author per 10,000
0 dialect per 10,000
o
141 author per 10,000
202 dialect per 10,000
130 author per 10,000
5 dialect per 10,000
s
130 author per 10,000
17 dialect per 10,000
i
107 author per 10,000
158 dialect per 10,000
me
105 author per 10,000
115 dialect per 10,000
tae
88 author per 10,000
223 dialect per 10,000
for
76 author per 10,000
26 dialect per 10,000
on
71 author per 10,000
73 dialect per 10,000
oot
71 author per 10,000
50 dialect per 10,000
door
68 author per 10,000
8 dialect per 10,000
that
68 author per 10,000
75 dialect per 10,000
key
62 author per 10,000
0 dialect per 10,000
she
62 author per 10,000
9 dialect per 10,000
back
59 author per 10,000
26 dialect per 10,000
his
59 author per 10,000
61 dialect per 10,000
wi
57 author per 10,000
46 dialect per 10,000
m
57 author per 10,000
3 dialect per 10,000
at
54 author per 10,000
54 dialect per 10,000
ma
54 author per 10,000
1 dialect per 10,000
bit
54 author per 10,000
48 dialect per 10,000
nae
51 author per 10,000
3 dialect per 10,000
doon
51 author per 10,000
28 dialect per 10,000
up
48 author per 10,000
34 dialect per 10,000
ye
45 author per 10,000
17 dialect per 10,000
wis
45 author per 10,000
80 dialect per 10,000
is
42 author per 10,000
71 dialect per 10,000
as
42 author per 10,000
48 dialect per 10,000
fit
42 author per 10,000
1 dialect per 10,000
ti
40 author per 10,000
0 dialect per 10,000
her
40 author per 10,000
49 dialect per 10,000
jist
40 author per 10,000
3 dialect per 10,000
there
40 author per 10,000
18 dialect per 10,000
says
37 author per 10,000
15 dialect per 10,000
time
37 author per 10,000
18 dialect per 10,000
aboot
37 author per 10,000
26 dialect per 10,000
whit
37 author per 10,000
29 dialect per 10,000
aa
34 author per 10,000
8 dialect per 10,000
aye
34 author per 10,000
9 dialect per 10,000
like
34 author per 10,000
31 dialect per 10,000
ken
34 author per 10,000
15 dialect per 10,000
intae
34 author per 10,000
18 dialect per 10,000
wid
31 author per 10,000
20 dialect per 10,000
this
31 author per 10,000
34 dialect per 10,000
aat
31 author per 10,000
0 dialect per 10,000
you
31 author per 10,000
35 dialect per 10,000
or
31 author per 10,000
30 dialect per 10,000
hid
28 author per 10,000
91 dialect per 10,000
lang
28 author per 10,000
1 dialect per 10,000
ll
28 author per 10,000
2 dialect per 10,000
then
28 author per 10,000
18 dialect per 10,000
if
28 author per 10,000
15 dialect per 10,000
get
28 author per 10,000
9 dialect per 10,000
him
28 author per 10,000
21 dialect per 10,000
yin
28 author per 10,000
2 dialect per 10,000
noo
28 author per 10,000
27 dialect per 10,000
wee
25 author per 10,000
1 dialect per 10,000
day
25 author per 10,000
20 dialect per 10,000
place
25 author per 10,000
4 dialect per 10,000
awa
25 author per 10,000
1 dialect per 10,000
aw
25 author per 10,000
0 dialect per 10,000
twa
25 author per 10,000
10 dialect per 10,000
they
25 author per 10,000
37 dialect per 10,000
cunt
23 author per 10,000
0 dialect per 10,000
ony
23 author per 10,000
2 dialect per 10,000
een
23 author per 10,000
4 dialect per 10,000
schyoopit
23 author per 10,000
0 dialect per 10,000
-
23 author per 10,000
76 dialect per 10,000
money
23 author per 10,000
1 dialect per 10,000
fuckin
23 author per 10,000
0 dialect per 10,000
kieran
23 author per 10,000
0 dialect per 10,000
bag
23 author per 10,000
0 dialect per 10,000
hoose
23 author per 10,000
11 dialect per 10,000
iss
23 author per 10,000
0 dialect per 10,000
anither
23 author per 10,000
8 dialect per 10,000
no
20 author per 10,000
58 dialect per 10,000
ower
20 author per 10,000
18 dialect per 10,000
them
20 author per 10,000
18 dialect per 10,000
re
20 author per 10,000
1 dialect per 10,000
some
20 author per 10,000
17 dialect per 10,000
d
20 author per 10,000
2 dialect per 10,000
thon
20 author per 10,000
0 dialect per 10,000
can
20 author per 10,000
13 dialect per 10,000
nicht
20 author per 10,000
0 dialect per 10,000
till
20 author per 10,000
8 dialect per 10,000
roon
20 author per 10,000
2 dialect per 10,000
oan
20 author per 10,000
10 dialect per 10,000
mair
20 author per 10,000
1 dialect per 10,000
wyte
17 author per 10,000
0 dialect per 10,000
hear
17 author per 10,000
4 dialect per 10,000
hiv
17 author per 10,000
13 dialect per 10,000
come
17 author per 10,000
11 dialect per 10,000
windae
17 author per 10,000
0 dialect per 10,000
dae
17 author per 10,000
10 dialect per 10,000
see
17 author per 10,000
17 dialect per 10,000
t
17 author per 10,000
1 dialect per 10,000
addy
17 author per 10,000
0 dialect per 10,000
be
17 author per 10,000
42 dialect per 10,000
and
17 author per 10,000
199 dialect per 10,000
fae
17 author per 10,000
39 dialect per 10,000
frae
17 author per 10,000
0 dialect per 10,000
been
17 author per 10,000
18 dialect per 10,000
afore
17 author per 10,000
12 dialect per 10,000
look
17 author per 10,000
1 dialect per 10,000
oor
17 author per 10,000
2 dialect per 10,000
nivvir
17 author per 10,000
0 dialect per 10,000
hooses
17 author per 10,000
1 dialect per 10,000
far
17 author per 10,000
4 dialect per 10,000
kitchen
17 author per 10,000
1 dialect per 10,000
said
17 author per 10,000
15 dialect per 10,000
hine
17 author per 10,000
0 dialect per 10,000
inside
14 author per 10,000
3 dialect per 10,000
fin
14 author per 10,000
0 dialect per 10,000
tell
14 author per 10,000
6 dialect per 10,000
goat
14 author per 10,000
1 dialect per 10,000
so
14 author per 10,000
30 dialect per 10,000
hame
14 author per 10,000
1 dialect per 10,000
whin
14 author per 10,000
6 dialect per 10,000
cupboard
14 author per 10,000
0 dialect per 10,000
open
14 author per 10,000
1 dialect per 10,000
side
14 author per 10,000
4 dialect per 10,000
here
14 author per 10,000
12 dialect per 10,000
aidan
14 author per 10,000
0 dialect per 10,000
wir
14 author per 10,000
27 dialect per 10,000
bushes
14 author per 10,000
0 dialect per 10,000
hoo
14 author per 10,000
10 dialect per 10,000
ee
14 author per 10,000
1 dialect per 10,000
14 author per 10,000
13 dialect per 10,000
yir
14 author per 10,000
11 dialect per 10,000
14 author per 10,000
0 dialect per 10,000
drive
14 author per 10,000
2 dialect per 10,000
are
14 author per 10,000
14 dialect per 10,000
lookin
11 author per 10,000
0 dialect per 10,000
near
11 author per 10,000
5 dialect per 10,000
ve
11 author per 10,000
1 dialect per 10,000
wye
11 author per 10,000
0 dialect per 10,000
names
11 author per 10,000
0 dialect per 10,000
we
11 author per 10,000
0 dialect per 10,000
seen
11 author per 10,000
6 dialect per 10,000
am
11 author per 10,000
6 dialect per 10,000
right
11 author per 10,000
17 dialect per 10,000
deen
11 author per 10,000
0 dialect per 10,000
sneak
11 author per 10,000
0 dialect per 10,000
whit
11 author per 10,000
0 dialect per 10,000
ahint
11 author per 10,000
5 dialect per 10,000
think
11 author per 10,000
10 dialect per 10,000
did
11 author per 10,000
8 dialect per 10,000
ilka
11 author per 10,000
0 dialect per 10,000
pal
11 author per 10,000
0 dialect per 10,000
of
11 author per 10,000
6 dialect per 10,000
hell
11 author per 10,000
1 dialect per 10,000
wan
11 author per 10,000
22 dialect per 10,000
nivver
11 author per 10,000
8 dialect per 10,000
last
11 author per 10,000
8 dialect per 10,000
breakin
11 author per 10,000
0 dialect per 10,000
naethin
11 author per 10,000
0 dialect per 10,000
next
11 author per 10,000
4 dialect per 10,000
go
11 author per 10,000
10 dialect per 10,000
need
11 author per 10,000
4 dialect per 10,000
comes
11 author per 10,000
5 dialect per 10,000
maakin
11 author per 10,000
0 dialect per 10,000
efter
8 author per 10,000
6 dialect per 10,000
rossie
8 author per 10,000
0 dialect per 10,000
em
8 author per 10,000
0 dialect per 10,000
wark
8 author per 10,000
6 dialect per 10,000
wunnerin
8 author per 10,000
0 dialect per 10,000
coat
8 author per 10,000
1 dialect per 10,000
posh
8 author per 10,000
0 dialect per 10,000
avenue
8 author per 10,000
0 dialect per 10,000
kens
8 author per 10,000
6 dialect per 10,000
cried
8 author per 10,000
1 dialect per 10,000
park
8 author per 10,000
1 dialect per 10,000
goes
8 author per 10,000
2 dialect per 10,000
tak
8 author per 10,000
12 dialect per 10,000
v
8 author per 10,000
0 dialect per 10,000
daft
8 author per 10,000
1 dialect per 10,000
first
8 author per 10,000
7 dialect per 10,000
took
8 author per 10,000
3 dialect per 10,000
grun
8 author per 10,000
0 dialect per 10,000
ett
8 author per 10,000
0 dialect per 10,000
airms
8 author per 10,000
2 dialect per 10,000
joab
8 author per 10,000
0 dialect per 10,000
yer
8 author per 10,000
7 dialect per 10,000
soon
8 author per 10,000
4 dialect per 10,000
ivvir
8 author per 10,000
0 dialect per 10,000
gettin
8 author per 10,000
0 dialect per 10,000
idea
8 author per 10,000
0 dialect per 10,000
biscuits
8 author per 10,000
0 dialect per 10,000
your
8 author per 10,000
5 dialect per 10,000
moira
8 author per 10,000
0 dialect per 10,000
cleaner
8 author per 10,000
0 dialect per 10,000
loons
8 author per 10,000
0 dialect per 10,000
Southern
the
396 author per 10,000
449 dialect per 10,000
a
351 author per 10,000
230 dialect per 10,000
an
272 author per 10,000
289 dialect per 10,000
in
215 author per 10,000
107 dialect per 10,000
e
192 author per 10,000
1 dialect per 10,000
we
190 author per 10,000
10 dialect per 10,000
it
153 author per 10,000
63 dialect per 10,000
he
150 author per 10,000
12 dialect per 10,000
wiz
141 author per 10,000
0 dialect per 10,000
o
141 author per 10,000
200 dialect per 10,000
130 author per 10,000
14 dialect per 10,000
s
130 author per 10,000
34 dialect per 10,000
i
107 author per 10,000
74 dialect per 10,000
me
105 author per 10,000
16 dialect per 10,000
tae
88 author per 10,000
206 dialect per 10,000
for
76 author per 10,000
22 dialect per 10,000
on
71 author per 10,000
55 dialect per 10,000
oot
71 author per 10,000
34 dialect per 10,000
door
68 author per 10,000
8 dialect per 10,000
that
68 author per 10,000
65 dialect per 10,000
key
62 author per 10,000
1 dialect per 10,000
she
62 author per 10,000
91 dialect per 10,000
back
59 author per 10,000
19 dialect per 10,000
his
59 author per 10,000
37 dialect per 10,000
wi
57 author per 10,000
66 dialect per 10,000
m
57 author per 10,000
5 dialect per 10,000
at
54 author per 10,000
69 dialect per 10,000
ma
54 author per 10,000
59 dialect per 10,000
bit
54 author per 10,000
14 dialect per 10,000
nae
51 author per 10,000
25 dialect per 10,000
doon
51 author per 10,000
24 dialect per 10,000
up
48 author per 10,000
41 dialect per 10,000
ye
45 author per 10,000
21 dialect per 10,000
wis
45 author per 10,000
54 dialect per 10,000
is
42 author per 10,000
62 dialect per 10,000
as
42 author per 10,000
50 dialect per 10,000
fit
42 author per 10,000
5 dialect per 10,000
ti
40 author per 10,000
23 dialect per 10,000
her
40 author per 10,000
17 dialect per 10,000
jist
40 author per 10,000
11 dialect per 10,000
there
40 author per 10,000
16 dialect per 10,000
says
37 author per 10,000
3 dialect per 10,000
time
37 author per 10,000
14 dialect per 10,000
aboot
37 author per 10,000
29 dialect per 10,000
whit
37 author per 10,000
30 dialect per 10,000
aa
34 author per 10,000
10 dialect per 10,000
aye
34 author per 10,000
11 dialect per 10,000
like
34 author per 10,000
8 dialect per 10,000
ken
34 author per 10,000
17 dialect per 10,000
intae
34 author per 10,000
10 dialect per 10,000
wid
31 author per 10,000
1 dialect per 10,000
this
31 author per 10,000
35 dialect per 10,000
aat
31 author per 10,000
0 dialect per 10,000
you
31 author per 10,000
3 dialect per 10,000
or
31 author per 10,000
22 dialect per 10,000
hid
28 author per 10,000
0 dialect per 10,000
lang
28 author per 10,000
12 dialect per 10,000
ll
28 author per 10,000
2 dialect per 10,000
then
28 author per 10,000
17 dialect per 10,000
if
28 author per 10,000
17 dialect per 10,000
get
28 author per 10,000
10 dialect per 10,000
him
28 author per 10,000
11 dialect per 10,000
yin
28 author per 10,000
22 dialect per 10,000
noo
28 author per 10,000
16 dialect per 10,000
wee
25 author per 10,000
23 dialect per 10,000
day
25 author per 10,000
17 dialect per 10,000
place
25 author per 10,000
5 dialect per 10,000
awa
25 author per 10,000
14 dialect per 10,000
aw
25 author per 10,000
32 dialect per 10,000
twa
25 author per 10,000
2 dialect per 10,000
they
25 author per 10,000
31 dialect per 10,000
cunt
23 author per 10,000
0 dialect per 10,000
ony
23 author per 10,000
7 dialect per 10,000
een
23 author per 10,000
2 dialect per 10,000
schyoopit
23 author per 10,000
0 dialect per 10,000
-
23 author per 10,000
29 dialect per 10,000
money
23 author per 10,000
0 dialect per 10,000
fuckin
23 author per 10,000
0 dialect per 10,000
kieran
23 author per 10,000
0 dialect per 10,000
bag
23 author per 10,000
0 dialect per 10,000
hoose
23 author per 10,000
20 dialect per 10,000
iss
23 author per 10,000
0 dialect per 10,000
anither
23 author per 10,000
7 dialect per 10,000
no
20 author per 10,000
28 dialect per 10,000
ower
20 author per 10,000
13 dialect per 10,000
them
20 author per 10,000
5 dialect per 10,000
re
20 author per 10,000
1 dialect per 10,000
some
20 author per 10,000
12 dialect per 10,000
d
20 author per 10,000
7 dialect per 10,000
thon
20 author per 10,000
4 dialect per 10,000
can
20 author per 10,000
10 dialect per 10,000
nicht
20 author per 10,000
8 dialect per 10,000
till
20 author per 10,000
4 dialect per 10,000
roon
20 author per 10,000
2 dialect per 10,000
oan
20 author per 10,000
33 dialect per 10,000
mair
20 author per 10,000
16 dialect per 10,000
wyte
17 author per 10,000
0 dialect per 10,000
hear
17 author per 10,000
5 dialect per 10,000
hiv
17 author per 10,000
0 dialect per 10,000
come
17 author per 10,000
9 dialect per 10,000
windae
17 author per 10,000
1 dialect per 10,000
dae
17 author per 10,000
14 dialect per 10,000
see
17 author per 10,000
5 dialect per 10,000
t
17 author per 10,000
3 dialect per 10,000
addy
17 author per 10,000
0 dialect per 10,000
be
17 author per 10,000
13 dialect per 10,000
and
17 author per 10,000
33 dialect per 10,000
fae
17 author per 10,000
0 dialect per 10,000
frae
17 author per 10,000
42 dialect per 10,000
been
17 author per 10,000
10 dialect per 10,000
afore
17 author per 10,000
16 dialect per 10,000
look
17 author per 10,000
4 dialect per 10,000
oor
17 author per 10,000
11 dialect per 10,000
nivvir
17 author per 10,000
0 dialect per 10,000
hooses
17 author per 10,000
2 dialect per 10,000
far
17 author per 10,000
2 dialect per 10,000
kitchen
17 author per 10,000
1 dialect per 10,000
said
17 author per 10,000
65 dialect per 10,000
hine
17 author per 10,000
0 dialect per 10,000
inside
14 author per 10,000
0 dialect per 10,000
fin
14 author per 10,000
1 dialect per 10,000
tell
14 author per 10,000
9 dialect per 10,000
goat
14 author per 10,000
0 dialect per 10,000
so
14 author per 10,000
3 dialect per 10,000
hame
14 author per 10,000
8 dialect per 10,000
whin
14 author per 10,000
0 dialect per 10,000
cupboard
14 author per 10,000
0 dialect per 10,000
open
14 author per 10,000
2 dialect per 10,000
side
14 author per 10,000
7 dialect per 10,000
here
14 author per 10,000
13 dialect per 10,000
aidan
14 author per 10,000
0 dialect per 10,000
wir
14 author per 10,000
1 dialect per 10,000
bushes
14 author per 10,000
0 dialect per 10,000
hoo
14 author per 10,000
3 dialect per 10,000
ee
14 author per 10,000
53 dialect per 10,000
14 author per 10,000
14 dialect per 10,000
yir
14 author per 10,000
3 dialect per 10,000
14 author per 10,000
0 dialect per 10,000
drive
14 author per 10,000
1 dialect per 10,000
are
14 author per 10,000
9 dialect per 10,000
lookin
11 author per 10,000
4 dialect per 10,000
near
11 author per 10,000
5 dialect per 10,000
ve
11 author per 10,000
4 dialect per 10,000
wye
11 author per 10,000
0 dialect per 10,000
names
11 author per 10,000
2 dialect per 10,000
we
11 author per 10,000
0 dialect per 10,000
seen
11 author per 10,000
5 dialect per 10,000
am
11 author per 10,000
2 dialect per 10,000
right
11 author per 10,000
1 dialect per 10,000
deen
11 author per 10,000
0 dialect per 10,000
sneak
11 author per 10,000
0 dialect per 10,000
whit
11 author per 10,000
0 dialect per 10,000
ahint
11 author per 10,000
5 dialect per 10,000
think
11 author per 10,000
7 dialect per 10,000
did
11 author per 10,000
11 dialect per 10,000
ilka
11 author per 10,000
3 dialect per 10,000
pal
11 author per 10,000
1 dialect per 10,000
of
11 author per 10,000
10 dialect per 10,000
hell
11 author per 10,000
1 dialect per 10,000
wan
11 author per 10,000
0 dialect per 10,000
nivver
11 author per 10,000
1 dialect per 10,000
last
11 author per 10,000
5 dialect per 10,000
breakin
11 author per 10,000
0 dialect per 10,000
naethin
11 author per 10,000
1 dialect per 10,000
next
11 author per 10,000
5 dialect per 10,000
go
11 author per 10,000
1 dialect per 10,000
need
11 author per 10,000
1 dialect per 10,000
comes
11 author per 10,000
2 dialect per 10,000
maakin
11 author per 10,000
0 dialect per 10,000
efter
8 author per 10,000
13 dialect per 10,000
rossie
8 author per 10,000
0 dialect per 10,000
em
8 author per 10,000
0 dialect per 10,000
wark
8 author per 10,000
1 dialect per 10,000
wunnerin
8 author per 10,000
0 dialect per 10,000
coat
8 author per 10,000
0 dialect per 10,000
posh
8 author per 10,000
0 dialect per 10,000
avenue
8 author per 10,000
0 dialect per 10,000
kens
8 author per 10,000
1 dialect per 10,000
cried
8 author per 10,000
2 dialect per 10,000
park
8 author per 10,000
0 dialect per 10,000
goes
8 author per 10,000
0 dialect per 10,000
tak
8 author per 10,000
9 dialect per 10,000
v
8 author per 10,000
0 dialect per 10,000
daft
8 author per 10,000
1 dialect per 10,000
first
8 author per 10,000
2 dialect per 10,000
took
8 author per 10,000
4 dialect per 10,000
grun
8 author per 10,000
0 dialect per 10,000
ett
8 author per 10,000
0 dialect per 10,000
airms
8 author per 10,000
1 dialect per 10,000
joab
8 author per 10,000
0 dialect per 10,000
yer
8 author per 10,000
17 dialect per 10,000
soon
8 author per 10,000
1 dialect per 10,000
ivvir
8 author per 10,000
0 dialect per 10,000
gettin
8 author per 10,000
3 dialect per 10,000
idea
8 author per 10,000
2 dialect per 10,000
biscuits
8 author per 10,000
0 dialect per 10,000
your
8 author per 10,000
1 dialect per 10,000
moira
8 author per 10,000
0 dialect per 10,000
cleaner
8 author per 10,000
0 dialect per 10,000
loons
8 author per 10,000
0 dialect per 10,000
Ulster
the
396 author per 10,000
345 dialect per 10,000
a
351 author per 10,000
287 dialect per 10,000
an
272 author per 10,000
358 dialect per 10,000
in
215 author per 10,000
121 dialect per 10,000
e
192 author per 10,000
1 dialect per 10,000
we
190 author per 10,000
18 dialect per 10,000
it
153 author per 10,000
73 dialect per 10,000
he
150 author per 10,000
62 dialect per 10,000
wiz
141 author per 10,000
1 dialect per 10,000
o
141 author per 10,000
208 dialect per 10,000
130 author per 10,000
8 dialect per 10,000
s
130 author per 10,000
11 dialect per 10,000
i
107 author per 10,000
16 dialect per 10,000
me
105 author per 10,000
24 dialect per 10,000
tae
88 author per 10,000
253 dialect per 10,000
for
76 author per 10,000
30 dialect per 10,000
on
71 author per 10,000
57 dialect per 10,000
oot
71 author per 10,000
49 dialect per 10,000
door
68 author per 10,000
0 dialect per 10,000
that
68 author per 10,000
71 dialect per 10,000
key
62 author per 10,000
1 dialect per 10,000
she
62 author per 10,000
31 dialect per 10,000
back
59 author per 10,000
2 dialect per 10,000
his
59 author per 10,000
25 dialect per 10,000
wi
57 author per 10,000
63 dialect per 10,000
m
57 author per 10,000
1 dialect per 10,000
at
54 author per 10,000
58 dialect per 10,000
ma
54 author per 10,000
23 dialect per 10,000
bit
54 author per 10,000
10 dialect per 10,000
nae
51 author per 10,000
22 dialect per 10,000
doon
51 author per 10,000
28 dialect per 10,000
up
48 author per 10,000
32 dialect per 10,000
ye
45 author per 10,000
79 dialect per 10,000
wis
45 author per 10,000
1 dialect per 10,000
is
42 author per 10,000
18 dialect per 10,000
as
42 author per 10,000
31 dialect per 10,000
fit
42 author per 10,000
4 dialect per 10,000
ti
40 author per 10,000
0 dialect per 10,000
her
40 author per 10,000
8 dialect per 10,000
jist
40 author per 10,000
8 dialect per 10,000
there
40 author per 10,000
8 dialect per 10,000
says
37 author per 10,000
3 dialect per 10,000
time
37 author per 10,000
13 dialect per 10,000
aboot
37 author per 10,000
27 dialect per 10,000
whit
37 author per 10,000
1 dialect per 10,000
aa
34 author per 10,000
41 dialect per 10,000
aye
34 author per 10,000
13 dialect per 10,000
like
34 author per 10,000
9 dialect per 10,000
ken
34 author per 10,000
3 dialect per 10,000
intae
34 author per 10,000
14 dialect per 10,000
wid
31 author per 10,000
1 dialect per 10,000
this
31 author per 10,000
27 dialect per 10,000
aat
31 author per 10,000
0 dialect per 10,000
you
31 author per 10,000
5 dialect per 10,000
or
31 author per 10,000
33 dialect per 10,000
hid
28 author per 10,000
0 dialect per 10,000
lang
28 author per 10,000
12 dialect per 10,000
ll
28 author per 10,000
4 dialect per 10,000
then
28 author per 10,000
17 dialect per 10,000
if
28 author per 10,000
14 dialect per 10,000
get
28 author per 10,000
9 dialect per 10,000
him
28 author per 10,000
11 dialect per 10,000
yin
28 author per 10,000
34 dialect per 10,000
noo
28 author per 10,000
22 dialect per 10,000
wee
25 author per 10,000
27 dialect per 10,000
day
25 author per 10,000
15 dialect per 10,000
place
25 author per 10,000
7 dialect per 10,000
awa
25 author per 10,000
17 dialect per 10,000
aw
25 author per 10,000
1 dialect per 10,000
twa
25 author per 10,000
11 dialect per 10,000
they
25 author per 10,000
26 dialect per 10,000
cunt
23 author per 10,000
0 dialect per 10,000
ony
23 author per 10,000
1 dialect per 10,000
een
23 author per 10,000
8 dialect per 10,000
schyoopit
23 author per 10,000
0 dialect per 10,000
-
23 author per 10,000
25 dialect per 10,000
money
23 author per 10,000
1 dialect per 10,000
fuckin
23 author per 10,000
0 dialect per 10,000
kieran
23 author per 10,000
0 dialect per 10,000
bag
23 author per 10,000
0 dialect per 10,000
hoose
23 author per 10,000
14 dialect per 10,000
iss
23 author per 10,000
0 dialect per 10,000
anither
23 author per 10,000
8 dialect per 10,000
no
20 author per 10,000
22 dialect per 10,000
ower
20 author per 10,000
18 dialect per 10,000
them
20 author per 10,000
8 dialect per 10,000
re
20 author per 10,000
1 dialect per 10,000
some
20 author per 10,000
7 dialect per 10,000
d
20 author per 10,000
2 dialect per 10,000
thon
20 author per 10,000
27 dialect per 10,000
can
20 author per 10,000
15 dialect per 10,000
nicht
20 author per 10,000
7 dialect per 10,000
till
20 author per 10,000
1 dialect per 10,000
roon
20 author per 10,000
10 dialect per 10,000
oan
20 author per 10,000
18 dialect per 10,000
mair
20 author per 10,000
27 dialect per 10,000
wyte
17 author per 10,000
0 dialect per 10,000
hear
17 author per 10,000
5 dialect per 10,000
hiv
17 author per 10,000
0 dialect per 10,000
come
17 author per 10,000
10 dialect per 10,000
windae
17 author per 10,000
1 dialect per 10,000
dae
17 author per 10,000
23 dialect per 10,000
see
17 author per 10,000
16 dialect per 10,000
t
17 author per 10,000
2 dialect per 10,000
addy
17 author per 10,000
0 dialect per 10,000
be
17 author per 10,000
39 dialect per 10,000
and
17 author per 10,000
10 dialect per 10,000
fae
17 author per 10,000
13 dialect per 10,000
frae
17 author per 10,000
36 dialect per 10,000
been
17 author per 10,000
2 dialect per 10,000
afore
17 author per 10,000
12 dialect per 10,000
look
17 author per 10,000
1 dialect per 10,000
oor
17 author per 10,000
15 dialect per 10,000
nivvir
17 author per 10,000
0 dialect per 10,000
hooses
17 author per 10,000
1 dialect per 10,000
far
17 author per 10,000
5 dialect per 10,000
kitchen
17 author per 10,000
1 dialect per 10,000
said
17 author per 10,000
32 dialect per 10,000
hine
17 author per 10,000
0 dialect per 10,000
inside
14 author per 10,000
1 dialect per 10,000
fin
14 author per 10,000
4 dialect per 10,000
tell
14 author per 10,000
10 dialect per 10,000
goat
14 author per 10,000
2 dialect per 10,000
so
14 author per 10,000
5 dialect per 10,000
hame
14 author per 10,000
10 dialect per 10,000
whin
14 author per 10,000
6 dialect per 10,000
cupboard
14 author per 10,000
0 dialect per 10,000
open
14 author per 10,000
1 dialect per 10,000
side
14 author per 10,000
4 dialect per 10,000
here
14 author per 10,000
10 dialect per 10,000
aidan
14 author per 10,000
0 dialect per 10,000
wir
14 author per 10,000
1 dialect per 10,000
bushes
14 author per 10,000
0 dialect per 10,000
hoo
14 author per 10,000
9 dialect per 10,000
ee
14 author per 10,000
3 dialect per 10,000
14 author per 10,000
18 dialect per 10,000
yir
14 author per 10,000
2 dialect per 10,000
14 author per 10,000
0 dialect per 10,000
drive
14 author per 10,000
0 dialect per 10,000
are
14 author per 10,000
4 dialect per 10,000
lookin
11 author per 10,000
0 dialect per 10,000
near
11 author per 10,000
4 dialect per 10,000
ve
11 author per 10,000
0 dialect per 10,000
wye
11 author per 10,000
13 dialect per 10,000
names
11 author per 10,000
0 dialect per 10,000
we
11 author per 10,000
0 dialect per 10,000
seen
11 author per 10,000
4 dialect per 10,000
am
11 author per 10,000
4 dialect per 10,000
right
11 author per 10,000
1 dialect per 10,000
deen
11 author per 10,000
0 dialect per 10,000
sneak
11 author per 10,000
0 dialect per 10,000
whit
11 author per 10,000
0 dialect per 10,000
ahint
11 author per 10,000
2 dialect per 10,000
think
11 author per 10,000
7 dialect per 10,000
did
11 author per 10,000
5 dialect per 10,000
ilka
11 author per 10,000
2 dialect per 10,000
pal
11 author per 10,000
0 dialect per 10,000
of
11 author per 10,000
2 dialect per 10,000
hell
11 author per 10,000
1 dialect per 10,000
wan
11 author per 10,000
0 dialect per 10,000
nivver
11 author per 10,000
0 dialect per 10,000
last
11 author per 10,000
4 dialect per 10,000
breakin
11 author per 10,000
0 dialect per 10,000
naethin
11 author per 10,000
5 dialect per 10,000
next
11 author per 10,000
0 dialect per 10,000
go
11 author per 10,000
5 dialect per 10,000
need
11 author per 10,000
4 dialect per 10,000
comes
11 author per 10,000
1 dialect per 10,000
maakin
11 author per 10,000
2 dialect per 10,000
efter
8 author per 10,000
6 dialect per 10,000
rossie
8 author per 10,000
0 dialect per 10,000
em
8 author per 10,000
0 dialect per 10,000
wark
8 author per 10,000
3 dialect per 10,000
wunnerin
8 author per 10,000
0 dialect per 10,000
coat
8 author per 10,000
1 dialect per 10,000
posh
8 author per 10,000
0 dialect per 10,000
avenue
8 author per 10,000
0 dialect per 10,000
kens
8 author per 10,000
1 dialect per 10,000
cried
8 author per 10,000
1 dialect per 10,000
park
8 author per 10,000
0 dialect per 10,000
goes
8 author per 10,000
0 dialect per 10,000
tak
8 author per 10,000
13 dialect per 10,000
v
8 author per 10,000
0 dialect per 10,000
daft
8 author per 10,000
1 dialect per 10,000
first
8 author per 10,000
2 dialect per 10,000
took
8 author per 10,000
1 dialect per 10,000
grun
8 author per 10,000
3 dialect per 10,000
ett
8 author per 10,000
0 dialect per 10,000
airms
8 author per 10,000
2 dialect per 10,000
joab
8 author per 10,000
0 dialect per 10,000
yer
8 author per 10,000
37 dialect per 10,000
soon
8 author per 10,000
2 dialect per 10,000
ivvir
8 author per 10,000
0 dialect per 10,000
gettin
8 author per 10,000
2 dialect per 10,000
idea
8 author per 10,000
0 dialect per 10,000
biscuits
8 author per 10,000
0 dialect per 10,000
your
8 author per 10,000
1 dialect per 10,000
moira
8 author per 10,000
0 dialect per 10,000
cleaner
8 author per 10,000
0 dialect per 10,000
loons
8 author per 10,000
0 dialect per 10,000