Central
an
377 author per 10,000
203 dialect per 10,000
the
349 author per 10,000
574 dialect per 10,000
ah
308 author per 10,000
67 dialect per 10,000
tae
252 author per 10,000
208 dialect per 10,000
said
230 author per 10,000
31 dialect per 10,000
a
218 author per 10,000
265 dialect per 10,000
she
176 author per 10,000
48 dialect per 10,000
wis
157 author per 10,000
95 dialect per 10,000
ma
147 author per 10,000
47 dialect per 10,000
it
141 author per 10,000
117 dialect per 10,000
her
124 author per 10,000
40 dialect per 10,000
in
121 author per 10,000
150 dialect per 10,000
that
119 author per 10,000
108 dialect per 10,000
me
92 author per 10,000
37 dialect per 10,000
he
88 author per 10,000
92 dialect per 10,000
yi
78 author per 10,000
3 dialect per 10,000
cause
76 author per 10,000
2 dialect per 10,000
ae
75 author per 10,000
18 dialect per 10,000
aw
75 author per 10,000
39 dialect per 10,000
wi
73 author per 10,000
65 dialect per 10,000
charlene
71 author per 10,000
0 dialect per 10,000
fur
70 author per 10,000
20 dialect per 10,000
but
65 author per 10,000
47 dialect per 10,000
up
62 author per 10,000
39 dialect per 10,000
at
57 author per 10,000
58 dialect per 10,000
aboot
56 author per 10,000
28 dialect per 10,000
on
56 author per 10,000
55 dialect per 10,000
jist
52 author per 10,000
20 dialect per 10,000
got
52 author per 10,000
10 dialect per 10,000
no
48 author per 10,000
34 dialect per 10,000
whit
47 author per 10,000
28 dialect per 10,000
when
47 author per 10,000
16 dialect per 10,000
pure
44 author per 10,000
2 dialect per 10,000
wur
43 author per 10,000
3 dialect per 10,000
then
43 author per 10,000
15 dialect per 10,000
oot
41 author per 10,000
39 dialect per 10,000
be
39 author per 10,000
50 dialect per 10,000
she's
37 author per 10,000
3 dialect per 10,000
we
35 author per 10,000
35 dialect per 10,000
they
35 author per 10,000
43 dialect per 10,000
if
34 author per 10,000
17 dialect per 10,000
him
33 author per 10,000
30 dialect per 10,000
his
32 author per 10,000
58 dialect per 10,000
this
32 author per 10,000
43 dialect per 10,000
you
32 author per 10,000
15 dialect per 10,000
wan
30 author per 10,000
8 dialect per 10,000
had
30 author per 10,000
23 dialect per 10,000
aye
30 author per 10,000
15 dialect per 10,000
went
30 author per 10,000
5 dialect per 10,000
da
29 author per 10,000
2 dialect per 10,000
how
29 author per 10,000
5 dialect per 10,000
yir
29 author per 10,000
4 dialect per 10,000
don't
29 author per 10,000
1 dialect per 10,000
get
29 author per 10,000
14 dialect per 10,000
it's
28 author per 10,000
15 dialect per 10,000
as
28 author per 10,000
61 dialect per 10,000
lik
28 author per 10,000
4 dialect per 10,000
school
27 author per 10,000
2 dialect per 10,000
dae
27 author per 10,000
16 dialect per 10,000
chris
27 author per 10,000
0 dialect per 10,000
or
27 author per 10,000
29 dialect per 10,000
go
26 author per 10,000
5 dialect per 10,000
is
26 author per 10,000
63 dialect per 10,000
them
26 author per 10,000
18 dialect per 10,000
know
26 author per 10,000
3 dialect per 10,000
fae
25 author per 10,000
27 dialect per 10,000
think
25 author per 10,000
8 dialect per 10,000
us
25 author per 10,000
14 dialect per 10,000
been
25 author per 10,000
19 dialect per 10,000
thir
24 author per 10,000
4 dialect per 10,000
wee
24 author per 10,000
27 dialect per 10,000
even
24 author per 10,000
9 dialect per 10,000
so
24 author per 10,000
9 dialect per 10,000
right
23 author per 10,000
3 dialect per 10,000
laura
23 author per 10,000
0 dialect per 10,000
didnae
23 author per 10,000
6 dialect per 10,000
aff
22 author per 10,000
14 dialect per 10,000
that's
22 author per 10,000
8 dialect per 10,000
big
21 author per 10,000
7 dialect per 10,000
ah'm
21 author per 10,000
5 dialect per 10,000
he's
20 author per 10,000
5 dialect per 10,000
well
20 author per 10,000
3 dialect per 10,000
never
20 author per 10,000
5 dialect per 10,000
back
19 author per 10,000
20 dialect per 10,000
intae
19 author per 10,000
18 dialect per 10,000
time
19 author per 10,000
17 dialect per 10,000
-
18 author per 10,000
27 dialect per 10,000
harpreet
18 author per 10,000
0 dialect per 10,000
day
18 author per 10,000
13 dialect per 10,000
see
18 author per 10,000
17 dialect per 10,000
tolt
18 author per 10,000
0 dialect per 10,000
come
18 author per 10,000
8 dialect per 10,000
kelly
18 author per 10,000
0 dialect per 10,000
doon
18 author per 10,000
17 dialect per 10,000
are
18 author per 10,000
18 dialect per 10,000
though
17 author per 10,000
4 dialect per 10,000
oor
17 author per 10,000
16 dialect per 10,000
gaunnae
17 author per 10,000
0 dialect per 10,000
there
16 author per 10,000
25 dialect per 10,000
did
16 author per 10,000
8 dialect per 10,000
two
16 author per 10,000
2 dialect per 10,000
startet
16 author per 10,000
0 dialect per 10,000
class
16 author per 10,000
1 dialect per 10,000
wisnae
15 author per 10,000
4 dialect per 10,000
say
15 author per 10,000
10 dialect per 10,000
ah'd
15 author per 10,000
1 dialect per 10,000
could
14 author per 10,000
9 dialect per 10,000
want
14 author per 10,000
6 dialect per 10,000
dead
14 author per 10,000
1 dialect per 10,000
can
14 author per 10,000
15 dialect per 10,000
after
14 author per 10,000
1 dialect per 10,000
gaun
14 author per 10,000
7 dialect per 10,000
kirsty
14 author per 10,000
0 dialect per 10,000
thought
14 author per 10,000
1 dialect per 10,000
wully
13 author per 10,000
0 dialect per 10,000
wid
13 author per 10,000
9 dialect per 10,000
really
13 author per 10,000
3 dialect per 10,000
huv
13 author per 10,000
5 dialect per 10,000
talkin
13 author per 10,000
1 dialect per 10,000
karen
13 author per 10,000
0 dialect per 10,000
naw
13 author per 10,000
2 dialect per 10,000
gettin
13 author per 10,000
4 dialect per 10,000
daein
13 author per 10,000
3 dialect per 10,000
only
12 author per 10,000
5 dialect per 10,000
marie
12 author per 10,000
1 dialect per 10,000
folk
12 author per 10,000
4 dialect per 10,000
noo
12 author per 10,000
13 dialect per 10,000
somethin
12 author per 10,000
4 dialect per 10,000
made
12 author per 10,000
7 dialect per 10,000
still
12 author per 10,000
8 dialect per 10,000
she'd
12 author per 10,000
1 dialect per 10,000
like
12 author per 10,000
28 dialect per 10,000
away
11 author per 10,000
2 dialect per 10,000
by
11 author per 10,000
17 dialect per 10,000
roon
11 author per 10,000
2 dialect per 10,000
other
11 author per 10,000
2 dialect per 10,000
asked
11 author per 10,000
2 dialect per 10,000
cannae
11 author per 10,000
5 dialect per 10,000
always
11 author per 10,000
1 dialect per 10,000
took
11 author per 10,000
3 dialect per 10,000
pals
11 author per 10,000
1 dialect per 10,000
ah've
11 author per 10,000
3 dialect per 10,000
next
10 author per 10,000
2 dialect per 10,000
here
10 author per 10,000
12 dialect per 10,000
night
10 author per 10,000
2 dialect per 10,000
first
10 author per 10,000
9 dialect per 10,000
nicola
10 author per 10,000
0 dialect per 10,000
anythin
10 author per 10,000
0 dialect per 10,000
says
10 author per 10,000
7 dialect per 10,000
tryin
10 author per 10,000
2 dialect per 10,000
way
10 author per 10,000
2 dialect per 10,000
tell
10 author per 10,000
7 dialect per 10,000
yvonne
10 author per 10,000
0 dialect per 10,000
good
10 author per 10,000
1 dialect per 10,000
€™s
10 author per 10,000
39 dialect per 10,000
who
9 author per 10,000
3 dialect per 10,000
charlene's
9 author per 10,000
0 dialect per 10,000
rice
9 author per 10,000
0 dialect per 10,000
wantet
9 author per 10,000
0 dialect per 10,000
new
9 author per 10,000
7 dialect per 10,000
ever
9 author per 10,000
3 dialect per 10,000
because
9 author per 10,000
3 dialect per 10,000
stuff
9 author per 10,000
1 dialect per 10,000
pit
9 author per 10,000
9 dialect per 10,000
couldnae
9 author per 10,000
3 dialect per 10,000
before
8 author per 10,000
2 dialect per 10,000
teacher
8 author per 10,000
1 dialect per 10,000
thing
8 author per 10,000
6 dialect per 10,000
same
8 author per 10,000
6 dialect per 10,000
face
8 author per 10,000
5 dialect per 10,000
again
8 author per 10,000
8 dialect per 10,000
bit
8 author per 10,000
16 dialect per 10,000
gied
8 author per 10,000
4 dialect per 10,000
any
8 author per 10,000
2 dialect per 10,000
anaw
8 author per 10,000
0 dialect per 10,000
mccoy
8 author per 10,000
0 dialect per 10,000
year
8 author per 10,000
7 dialect per 10,000
kyle
8 author per 10,000
0 dialect per 10,000
lassie
8 author per 10,000
3 dialect per 10,000
looked
8 author per 10,000
3 dialect per 10,000
half
8 author per 10,000
1 dialect per 10,000
some
8 author per 10,000
14 dialect per 10,000
used
8 author per 10,000
2 dialect per 10,000
your
8 author per 10,000
5 dialect per 10,000
ower
8 author per 10,000
19 dialect per 10,000
heid
8 author per 10,000
10 dialect per 10,000
sumdy
8 author per 10,000
0 dialect per 10,000
need
7 author per 10,000
5 dialect per 10,000
tried
7 author per 10,000
2 dialect per 10,000
where
7 author per 10,000
3 dialect per 10,000
evrubdy
7 author per 10,000
0 dialect per 10,000
stramash
7 author per 10,000
0 dialect per 10,000
bad
7 author per 10,000
3 dialect per 10,000
hoose
7 author per 10,000
7 dialect per 10,000
hair
7 author per 10,000
3 dialect per 10,000
ah'll
7 author per 10,000
1 dialect per 10,000
through
7 author per 10,000
6 dialect per 10,000
another
7 author per 10,000
1 dialect per 10,000
home
7 author per 10,000
0 dialect per 10,000
sittin
7 author per 10,000
2 dialect per 10,000
Doric
an
377 author per 10,000
307 dialect per 10,000
the
349 author per 10,000
469 dialect per 10,000
ah
308 author per 10,000
43 dialect per 10,000
tae
252 author per 10,000
164 dialect per 10,000
said
230 author per 10,000
39 dialect per 10,000
a
218 author per 10,000
300 dialect per 10,000
she
176 author per 10,000
73 dialect per 10,000
wis
157 author per 10,000
104 dialect per 10,000
ma
147 author per 10,000
46 dialect per 10,000
it
141 author per 10,000
104 dialect per 10,000
her
124 author per 10,000
69 dialect per 10,000
in
121 author per 10,000
135 dialect per 10,000
that
119 author per 10,000
51 dialect per 10,000
me
92 author per 10,000
31 dialect per 10,000
he
88 author per 10,000
97 dialect per 10,000
yi
78 author per 10,000
1 dialect per 10,000
cause
76 author per 10,000
4 dialect per 10,000
ae
75 author per 10,000
8 dialect per 10,000
aw
75 author per 10,000
1 dialect per 10,000
wi
73 author per 10,000
82 dialect per 10,000
charlene
71 author per 10,000
0 dialect per 10,000
fur
70 author per 10,000
16 dialect per 10,000
but
65 author per 10,000
25 dialect per 10,000
up
62 author per 10,000
45 dialect per 10,000
at
57 author per 10,000
70 dialect per 10,000
aboot
56 author per 10,000
33 dialect per 10,000
on
56 author per 10,000
67 dialect per 10,000
jist
52 author per 10,000
35 dialect per 10,000
got
52 author per 10,000
13 dialect per 10,000
no
48 author per 10,000
8 dialect per 10,000
whit
47 author per 10,000
2 dialect per 10,000
when
47 author per 10,000
3 dialect per 10,000
pure
44 author per 10,000
0 dialect per 10,000
wur
43 author per 10,000
0 dialect per 10,000
then
43 author per 10,000
9 dialect per 10,000
oot
41 author per 10,000
48 dialect per 10,000
be
39 author per 10,000
46 dialect per 10,000
she's
37 author per 10,000
4 dialect per 10,000
we
35 author per 10,000
21 dialect per 10,000
they
35 author per 10,000
38 dialect per 10,000
if
34 author per 10,000
17 dialect per 10,000
him
33 author per 10,000
33 dialect per 10,000
his
32 author per 10,000
72 dialect per 10,000
this
32 author per 10,000
18 dialect per 10,000
you
32 author per 10,000
18 dialect per 10,000
wan
30 author per 10,000
4 dialect per 10,000
had
30 author per 10,000
4 dialect per 10,000
aye
30 author per 10,000
20 dialect per 10,000
went
30 author per 10,000
5 dialect per 10,000
da
29 author per 10,000
3 dialect per 10,000
how
29 author per 10,000
2 dialect per 10,000
yir
29 author per 10,000
0 dialect per 10,000
don't
29 author per 10,000
0 dialect per 10,000
get
29 author per 10,000
15 dialect per 10,000
it's
28 author per 10,000
21 dialect per 10,000
as
28 author per 10,000
55 dialect per 10,000
lik
28 author per 10,000
3 dialect per 10,000
school
27 author per 10,000
1 dialect per 10,000
dae
27 author per 10,000
5 dialect per 10,000
chris
27 author per 10,000
1 dialect per 10,000
or
27 author per 10,000
25 dialect per 10,000
go
26 author per 10,000
4 dialect per 10,000
is
26 author per 10,000
42 dialect per 10,000
them
26 author per 10,000
25 dialect per 10,000
know
26 author per 10,000
0 dialect per 10,000
fae
25 author per 10,000
27 dialect per 10,000
think
25 author per 10,000
12 dialect per 10,000
us
25 author per 10,000
6 dialect per 10,000
been
25 author per 10,000
13 dialect per 10,000
thir
24 author per 10,000
0 dialect per 10,000
wee
24 author per 10,000
19 dialect per 10,000
even
24 author per 10,000
6 dialect per 10,000
so
24 author per 10,000
14 dialect per 10,000
right
23 author per 10,000
1 dialect per 10,000
laura
23 author per 10,000
0 dialect per 10,000
didnae
23 author per 10,000
1 dialect per 10,000
aff
22 author per 10,000
13 dialect per 10,000
that's
22 author per 10,000
2 dialect per 10,000
big
21 author per 10,000
5 dialect per 10,000
ah'm
21 author per 10,000
8 dialect per 10,000
he's
20 author per 10,000
5 dialect per 10,000
well
20 author per 10,000
2 dialect per 10,000
never
20 author per 10,000
2 dialect per 10,000
back
19 author per 10,000
22 dialect per 10,000
intae
19 author per 10,000
10 dialect per 10,000
time
19 author per 10,000
20 dialect per 10,000
-
18 author per 10,000
25 dialect per 10,000
harpreet
18 author per 10,000
0 dialect per 10,000
day
18 author per 10,000
28 dialect per 10,000
see
18 author per 10,000
22 dialect per 10,000
tolt
18 author per 10,000
0 dialect per 10,000
come
18 author per 10,000
14 dialect per 10,000
kelly
18 author per 10,000
0 dialect per 10,000
doon
18 author per 10,000
34 dialect per 10,000
are
18 author per 10,000
14 dialect per 10,000
though
17 author per 10,000
3 dialect per 10,000
oor
17 author per 10,000
6 dialect per 10,000
gaunnae
17 author per 10,000
0 dialect per 10,000
there
16 author per 10,000
23 dialect per 10,000
did
16 author per 10,000
10 dialect per 10,000
two
16 author per 10,000
1 dialect per 10,000
startet
16 author per 10,000
0 dialect per 10,000
class
16 author per 10,000
1 dialect per 10,000
wisnae
15 author per 10,000
2 dialect per 10,000
say
15 author per 10,000
15 dialect per 10,000
ah'd
15 author per 10,000
2 dialect per 10,000
could
14 author per 10,000
8 dialect per 10,000
want
14 author per 10,000
1 dialect per 10,000
dead
14 author per 10,000
0 dialect per 10,000
can
14 author per 10,000
13 dialect per 10,000
after
14 author per 10,000
0 dialect per 10,000
gaun
14 author per 10,000
6 dialect per 10,000
kirsty
14 author per 10,000
1 dialect per 10,000
thought
14 author per 10,000
0 dialect per 10,000
wully
13 author per 10,000
0 dialect per 10,000
wid
13 author per 10,000
17 dialect per 10,000
really
13 author per 10,000
4 dialect per 10,000
huv
13 author per 10,000
0 dialect per 10,000
talkin
13 author per 10,000
0 dialect per 10,000
karen
13 author per 10,000
0 dialect per 10,000
naw
13 author per 10,000
0 dialect per 10,000
gettin
13 author per 10,000
4 dialect per 10,000
daein
13 author per 10,000
1 dialect per 10,000
only
12 author per 10,000
6 dialect per 10,000
marie
12 author per 10,000
0 dialect per 10,000
folk
12 author per 10,000
4 dialect per 10,000
noo
12 author per 10,000
21 dialect per 10,000
somethin
12 author per 10,000
4 dialect per 10,000
made
12 author per 10,000
8 dialect per 10,000
still
12 author per 10,000
5 dialect per 10,000
she'd
12 author per 10,000
4 dialect per 10,000
like
12 author per 10,000
40 dialect per 10,000
away
11 author per 10,000
0 dialect per 10,000
by
11 author per 10,000
9 dialect per 10,000
roon
11 author per 10,000
11 dialect per 10,000
other
11 author per 10,000
0 dialect per 10,000
asked
11 author per 10,000
2 dialect per 10,000
cannae
11 author per 10,000
0 dialect per 10,000
always
11 author per 10,000
0 dialect per 10,000
took
11 author per 10,000
3 dialect per 10,000
pals
11 author per 10,000
1 dialect per 10,000
ah've
11 author per 10,000
2 dialect per 10,000
next
10 author per 10,000
3 dialect per 10,000
here
10 author per 10,000
11 dialect per 10,000
night
10 author per 10,000
0 dialect per 10,000
first
10 author per 10,000
7 dialect per 10,000
nicola
10 author per 10,000
0 dialect per 10,000
anythin
10 author per 10,000
0 dialect per 10,000
says
10 author per 10,000
10 dialect per 10,000
tryin
10 author per 10,000
2 dialect per 10,000
way
10 author per 10,000
2 dialect per 10,000
tell
10 author per 10,000
9 dialect per 10,000
yvonne
10 author per 10,000
0 dialect per 10,000
good
10 author per 10,000
2 dialect per 10,000
€™s
10 author per 10,000
23 dialect per 10,000
who
9 author per 10,000
2 dialect per 10,000
charlene's
9 author per 10,000
0 dialect per 10,000
rice
9 author per 10,000
0 dialect per 10,000
wantet
9 author per 10,000
0 dialect per 10,000
new
9 author per 10,000
6 dialect per 10,000
ever
9 author per 10,000
1 dialect per 10,000
because
9 author per 10,000
2 dialect per 10,000
stuff
9 author per 10,000
2 dialect per 10,000
pit
9 author per 10,000
9 dialect per 10,000
couldnae
9 author per 10,000
0 dialect per 10,000
before
8 author per 10,000
0 dialect per 10,000
teacher
8 author per 10,000
1 dialect per 10,000
thing
8 author per 10,000
7 dialect per 10,000
same
8 author per 10,000
5 dialect per 10,000
face
8 author per 10,000
7 dialect per 10,000
again
8 author per 10,000
11 dialect per 10,000
bit
8 author per 10,000
41 dialect per 10,000
gied
8 author per 10,000
5 dialect per 10,000
any
8 author per 10,000
1 dialect per 10,000
anaw
8 author per 10,000
0 dialect per 10,000
mccoy
8 author per 10,000
0 dialect per 10,000
year
8 author per 10,000
5 dialect per 10,000
kyle
8 author per 10,000
0 dialect per 10,000
lassie
8 author per 10,000
2 dialect per 10,000
looked
8 author per 10,000
4 dialect per 10,000
half
8 author per 10,000
3 dialect per 10,000
some
8 author per 10,000
13 dialect per 10,000
used
8 author per 10,000
1 dialect per 10,000
your
8 author per 10,000
5 dialect per 10,000
ower
8 author per 10,000
28 dialect per 10,000
heid
8 author per 10,000
12 dialect per 10,000
sumdy
8 author per 10,000
0 dialect per 10,000
need
7 author per 10,000
5 dialect per 10,000
tried
7 author per 10,000
3 dialect per 10,000
where
7 author per 10,000
1 dialect per 10,000
evrubdy
7 author per 10,000
0 dialect per 10,000
stramash
7 author per 10,000
0 dialect per 10,000
bad
7 author per 10,000
2 dialect per 10,000
hoose
7 author per 10,000
11 dialect per 10,000
hair
7 author per 10,000
3 dialect per 10,000
ah'll
7 author per 10,000
3 dialect per 10,000
through
7 author per 10,000
3 dialect per 10,000
another
7 author per 10,000
0 dialect per 10,000
home
7 author per 10,000
0 dialect per 10,000
sittin
7 author per 10,000
3 dialect per 10,000
Shetland
an
377 author per 10,000
330 dialect per 10,000
the
349 author per 10,000
18 dialect per 10,000
ah
308 author per 10,000
0 dialect per 10,000
tae
252 author per 10,000
86 dialect per 10,000
said
230 author per 10,000
61 dialect per 10,000
a
218 author per 10,000
280 dialect per 10,000
she
176 author per 10,000
7 dialect per 10,000
wis
157 author per 10,000
161 dialect per 10,000
ma
147 author per 10,000
0 dialect per 10,000
it
141 author per 10,000
58 dialect per 10,000
her
124 author per 10,000
64 dialect per 10,000
in
121 author per 10,000
105 dialect per 10,000
that
119 author per 10,000
4 dialect per 10,000
me
92 author per 10,000
41 dialect per 10,000
he
88 author per 10,000
103 dialect per 10,000
yi
78 author per 10,000
0 dialect per 10,000
cause
76 author per 10,000
0 dialect per 10,000
ae
75 author per 10,000
1 dialect per 10,000
aw
75 author per 10,000
0 dialect per 10,000
wi
73 author per 10,000
95 dialect per 10,000
charlene
71 author per 10,000
0 dialect per 10,000
fur
70 author per 10,000
32 dialect per 10,000
but
65 author per 10,000
28 dialect per 10,000
up
62 author per 10,000
42 dialect per 10,000
at
57 author per 10,000
112 dialect per 10,000
aboot
56 author per 10,000
41 dialect per 10,000
on
56 author per 10,000
52 dialect per 10,000
jist
52 author per 10,000
0 dialect per 10,000
got
52 author per 10,000
8 dialect per 10,000
no
48 author per 10,000
35 dialect per 10,000
whit
47 author per 10,000
39 dialect per 10,000
when
47 author per 10,000
5 dialect per 10,000
pure
44 author per 10,000
0 dialect per 10,000
wur
43 author per 10,000
0 dialect per 10,000
then
43 author per 10,000
1 dialect per 10,000
oot
41 author per 10,000
42 dialect per 10,000
be
39 author per 10,000
55 dialect per 10,000
she's
37 author per 10,000
0 dialect per 10,000
we
35 author per 10,000
43 dialect per 10,000
they
35 author per 10,000
2 dialect per 10,000
if
34 author per 10,000
25 dialect per 10,000
him
33 author per 10,000
47 dialect per 10,000
his
32 author per 10,000
52 dialect per 10,000
this
32 author per 10,000
1 dialect per 10,000
you
32 author per 10,000
51 dialect per 10,000
wan
30 author per 10,000
13 dialect per 10,000
had
30 author per 10,000
2 dialect per 10,000
aye
30 author per 10,000
11 dialect per 10,000
went
30 author per 10,000
0 dialect per 10,000
da
29 author per 10,000
545 dialect per 10,000
how
29 author per 10,000
1 dialect per 10,000
yir
29 author per 10,000
1 dialect per 10,000
don't
29 author per 10,000
1 dialect per 10,000
get
29 author per 10,000
6 dialect per 10,000
it's
28 author per 10,000
8 dialect per 10,000
as
28 author per 10,000
79 dialect per 10,000
lik
28 author per 10,000
10 dialect per 10,000
school
27 author per 10,000
0 dialect per 10,000
dae
27 author per 10,000
2 dialect per 10,000
chris
27 author per 10,000
0 dialect per 10,000
or
27 author per 10,000
32 dialect per 10,000
go
26 author per 10,000
2 dialect per 10,000
is
26 author per 10,000
81 dialect per 10,000
them
26 author per 10,000
1 dialect per 10,000
know
26 author per 10,000
1 dialect per 10,000
fae
25 author per 10,000
40 dialect per 10,000
think
25 author per 10,000
1 dialect per 10,000
us
25 author per 10,000
0 dialect per 10,000
been
25 author per 10,000
16 dialect per 10,000
thir
24 author per 10,000
0 dialect per 10,000
wee
24 author per 10,000
0 dialect per 10,000
even
24 author per 10,000
10 dialect per 10,000
so
24 author per 10,000
26 dialect per 10,000
right
23 author per 10,000
5 dialect per 10,000
laura
23 author per 10,000
0 dialect per 10,000
didnae
23 author per 10,000
0 dialect per 10,000
aff
22 author per 10,000
18 dialect per 10,000
that's
22 author per 10,000
0 dialect per 10,000
big
21 author per 10,000
3 dialect per 10,000
ah'm
21 author per 10,000
6 dialect per 10,000
he's
20 author per 10,000
6 dialect per 10,000
well
20 author per 10,000
1 dialect per 10,000
never
20 author per 10,000
7 dialect per 10,000
back
19 author per 10,000
18 dialect per 10,000
intae
19 author per 10,000
8 dialect per 10,000
time
19 author per 10,000
21 dialect per 10,000
-
18 author per 10,000
53 dialect per 10,000
harpreet
18 author per 10,000
0 dialect per 10,000
day
18 author per 10,000
18 dialect per 10,000
see
18 author per 10,000
20 dialect per 10,000
tolt
18 author per 10,000
0 dialect per 10,000
come
18 author per 10,000
19 dialect per 10,000
kelly
18 author per 10,000
0 dialect per 10,000
doon
18 author per 10,000
23 dialect per 10,000
are
18 author per 10,000
2 dialect per 10,000
though
17 author per 10,000
1 dialect per 10,000
oor
17 author per 10,000
1 dialect per 10,000
gaunnae
17 author per 10,000
0 dialect per 10,000
there
16 author per 10,000
1 dialect per 10,000
did
16 author per 10,000
9 dialect per 10,000
two
16 author per 10,000
1 dialect per 10,000
startet
16 author per 10,000
0 dialect per 10,000
class
16 author per 10,000
1 dialect per 10,000
wisnae
15 author per 10,000
0 dialect per 10,000
say
15 author per 10,000
11 dialect per 10,000
ah'd
15 author per 10,000
0 dialect per 10,000
could
14 author per 10,000
12 dialect per 10,000
want
14 author per 10,000
5 dialect per 10,000
dead
14 author per 10,000
0 dialect per 10,000
can
14 author per 10,000
20 dialect per 10,000
after
14 author per 10,000
0 dialect per 10,000
gaun
14 author per 10,000
0 dialect per 10,000
kirsty
14 author per 10,000
0 dialect per 10,000
thought
14 author per 10,000
0 dialect per 10,000
wully
13 author per 10,000
0 dialect per 10,000
wid
13 author per 10,000
38 dialect per 10,000
really
13 author per 10,000
2 dialect per 10,000
huv
13 author per 10,000
0 dialect per 10,000
talkin
13 author per 10,000
0 dialect per 10,000
karen
13 author per 10,000
0 dialect per 10,000
naw
13 author per 10,000
0 dialect per 10,000
gettin
13 author per 10,000
2 dialect per 10,000
daein
13 author per 10,000
0 dialect per 10,000
only
12 author per 10,000
5 dialect per 10,000
marie
12 author per 10,000
0 dialect per 10,000
folk
12 author per 10,000
1 dialect per 10,000
noo
12 author per 10,000
19 dialect per 10,000
somethin
12 author per 10,000
4 dialect per 10,000
made
12 author per 10,000
1 dialect per 10,000
still
12 author per 10,000
9 dialect per 10,000
she'd
12 author per 10,000
0 dialect per 10,000
like
12 author per 10,000
2 dialect per 10,000
away
11 author per 10,000
1 dialect per 10,000
by
11 author per 10,000
7 dialect per 10,000
roon
11 author per 10,000
0 dialect per 10,000
other
11 author per 10,000
1 dialect per 10,000
asked
11 author per 10,000
0 dialect per 10,000
cannae
11 author per 10,000
0 dialect per 10,000
always
11 author per 10,000
1 dialect per 10,000
took
11 author per 10,000
9 dialect per 10,000
pals
11 author per 10,000
0 dialect per 10,000
ah've
11 author per 10,000
0 dialect per 10,000
next
10 author per 10,000
1 dialect per 10,000
here
10 author per 10,000
11 dialect per 10,000
night
10 author per 10,000
5 dialect per 10,000
first
10 author per 10,000
10 dialect per 10,000
nicola
10 author per 10,000
0 dialect per 10,000
anythin
10 author per 10,000
0 dialect per 10,000
says
10 author per 10,000
5 dialect per 10,000
tryin
10 author per 10,000
2 dialect per 10,000
way
10 author per 10,000
0 dialect per 10,000
tell
10 author per 10,000
8 dialect per 10,000
yvonne
10 author per 10,000
0 dialect per 10,000
good
10 author per 10,000
1 dialect per 10,000
€™s
10 author per 10,000
16 dialect per 10,000
who
9 author per 10,000
1 dialect per 10,000
charlene's
9 author per 10,000
0 dialect per 10,000
rice
9 author per 10,000
0 dialect per 10,000
wantet
9 author per 10,000
0 dialect per 10,000
new
9 author per 10,000
8 dialect per 10,000
ever
9 author per 10,000
5 dialect per 10,000
because
9 author per 10,000
0 dialect per 10,000
stuff
9 author per 10,000
1 dialect per 10,000
pit
9 author per 10,000
6 dialect per 10,000
couldnae
9 author per 10,000
0 dialect per 10,000
before
8 author per 10,000
1 dialect per 10,000
teacher
8 author per 10,000
0 dialect per 10,000
thing
8 author per 10,000
6 dialect per 10,000
same
8 author per 10,000
0 dialect per 10,000
face
8 author per 10,000
6 dialect per 10,000
again
8 author per 10,000
5 dialect per 10,000
bit
8 author per 10,000
38 dialect per 10,000
gied
8 author per 10,000
8 dialect per 10,000
any
8 author per 10,000
0 dialect per 10,000
anaw
8 author per 10,000
0 dialect per 10,000
mccoy
8 author per 10,000
0 dialect per 10,000
year
8 author per 10,000
7 dialect per 10,000
kyle
8 author per 10,000
0 dialect per 10,000
lassie
8 author per 10,000
0 dialect per 10,000
looked
8 author per 10,000
0 dialect per 10,000
half
8 author per 10,000
2 dialect per 10,000
some
8 author per 10,000
13 dialect per 10,000
used
8 author per 10,000
2 dialect per 10,000
your
8 author per 10,000
9 dialect per 10,000
ower
8 author per 10,000
24 dialect per 10,000
heid
8 author per 10,000
2 dialect per 10,000
sumdy
8 author per 10,000
0 dialect per 10,000
need
7 author per 10,000
3 dialect per 10,000
tried
7 author per 10,000
3 dialect per 10,000
where
7 author per 10,000
0 dialect per 10,000
evrubdy
7 author per 10,000
0 dialect per 10,000
stramash
7 author per 10,000
0 dialect per 10,000
bad
7 author per 10,000
1 dialect per 10,000
hoose
7 author per 10,000
8 dialect per 10,000
hair
7 author per 10,000
3 dialect per 10,000
ah'll
7 author per 10,000
2 dialect per 10,000
through
7 author per 10,000
0 dialect per 10,000
another
7 author per 10,000
0 dialect per 10,000
home
7 author per 10,000
0 dialect per 10,000
sittin
7 author per 10,000
2 dialect per 10,000
Orkney
an
377 author per 10,000
179 dialect per 10,000
the
349 author per 10,000
581 dialect per 10,000
ah
308 author per 10,000
2 dialect per 10,000
tae
252 author per 10,000
222 dialect per 10,000
said
230 author per 10,000
15 dialect per 10,000
a
218 author per 10,000
296 dialect per 10,000
she
176 author per 10,000
8 dialect per 10,000
wis
157 author per 10,000
79 dialect per 10,000
ma
147 author per 10,000
1 dialect per 10,000
it
141 author per 10,000
23 dialect per 10,000
her
124 author per 10,000
48 dialect per 10,000
in
121 author per 10,000
147 dialect per 10,000
that
119 author per 10,000
75 dialect per 10,000
me
92 author per 10,000
111 dialect per 10,000
he
88 author per 10,000
88 dialect per 10,000
yi
78 author per 10,000
0 dialect per 10,000
cause
76 author per 10,000
0 dialect per 10,000
ae
75 author per 10,000
1 dialect per 10,000
aw
75 author per 10,000
0 dialect per 10,000
wi
73 author per 10,000
48 dialect per 10,000
charlene
71 author per 10,000
0 dialect per 10,000
fur
70 author per 10,000
50 dialect per 10,000
but
65 author per 10,000
28 dialect per 10,000
up
62 author per 10,000
33 dialect per 10,000
at
57 author per 10,000
53 dialect per 10,000
aboot
56 author per 10,000
26 dialect per 10,000
on
56 author per 10,000
73 dialect per 10,000
jist
52 author per 10,000
3 dialect per 10,000
got
52 author per 10,000
12 dialect per 10,000
no
48 author per 10,000
59 dialect per 10,000
whit
47 author per 10,000
29 dialect per 10,000
when
47 author per 10,000
23 dialect per 10,000
pure
44 author per 10,000
0 dialect per 10,000
wur
43 author per 10,000
11 dialect per 10,000
then
43 author per 10,000
18 dialect per 10,000
oot
41 author per 10,000
51 dialect per 10,000
be
39 author per 10,000
42 dialect per 10,000
she's
37 author per 10,000
0 dialect per 10,000
we
35 author per 10,000
30 dialect per 10,000
they
35 author per 10,000
35 dialect per 10,000
if
34 author per 10,000
15 dialect per 10,000
him
33 author per 10,000
21 dialect per 10,000
his
32 author per 10,000
63 dialect per 10,000
this
32 author per 10,000
35 dialect per 10,000
you
32 author per 10,000
33 dialect per 10,000
wan
30 author per 10,000
21 dialect per 10,000
had
30 author per 10,000
2 dialect per 10,000
aye
30 author per 10,000
9 dialect per 10,000
went
30 author per 10,000
1 dialect per 10,000
da
29 author per 10,000
0 dialect per 10,000
how
29 author per 10,000
1 dialect per 10,000
yir
29 author per 10,000
10 dialect per 10,000
don't
29 author per 10,000
5 dialect per 10,000
get
29 author per 10,000
10 dialect per 10,000
it's
28 author per 10,000
4 dialect per 10,000
as
28 author per 10,000
48 dialect per 10,000
lik
28 author per 10,000
0 dialect per 10,000
school
27 author per 10,000
1 dialect per 10,000
dae
27 author per 10,000
9 dialect per 10,000
chris
27 author per 10,000
0 dialect per 10,000
or
27 author per 10,000
30 dialect per 10,000
go
26 author per 10,000
10 dialect per 10,000
is
26 author per 10,000
73 dialect per 10,000
them
26 author per 10,000
17 dialect per 10,000
know
26 author per 10,000
1 dialect per 10,000
fae
25 author per 10,000
37 dialect per 10,000
think
25 author per 10,000
9 dialect per 10,000
us
25 author per 10,000
6 dialect per 10,000
been
25 author per 10,000
18 dialect per 10,000
thir
24 author per 10,000
30 dialect per 10,000
wee
24 author per 10,000
1 dialect per 10,000
even
24 author per 10,000
6 dialect per 10,000
so
24 author per 10,000
29 dialect per 10,000
right
23 author per 10,000
17 dialect per 10,000
laura
23 author per 10,000
0 dialect per 10,000
didnae
23 author per 10,000
0 dialect per 10,000
aff
22 author per 10,000
8 dialect per 10,000
that's
22 author per 10,000
9 dialect per 10,000
big
21 author per 10,000
8 dialect per 10,000
ah'm
21 author per 10,000
21 dialect per 10,000
he's
20 author per 10,000
10 dialect per 10,000
well
20 author per 10,000
1 dialect per 10,000
never
20 author per 10,000
3 dialect per 10,000
back
19 author per 10,000
27 dialect per 10,000
intae
19 author per 10,000
18 dialect per 10,000
time
19 author per 10,000
18 dialect per 10,000
-
18 author per 10,000
78 dialect per 10,000
harpreet
18 author per 10,000
0 dialect per 10,000
day
18 author per 10,000
21 dialect per 10,000
see
18 author per 10,000
16 dialect per 10,000
tolt
18 author per 10,000
0 dialect per 10,000
come
18 author per 10,000
10 dialect per 10,000
kelly
18 author per 10,000
0 dialect per 10,000
doon
18 author per 10,000
28 dialect per 10,000
are
18 author per 10,000
14 dialect per 10,000
though
17 author per 10,000
4 dialect per 10,000
oor
17 author per 10,000
2 dialect per 10,000
gaunnae
17 author per 10,000
0 dialect per 10,000
there
16 author per 10,000
18 dialect per 10,000
did
16 author per 10,000
8 dialect per 10,000
two
16 author per 10,000
3 dialect per 10,000
startet
16 author per 10,000
0 dialect per 10,000
class
16 author per 10,000
1 dialect per 10,000
wisnae
15 author per 10,000
0 dialect per 10,000
say
15 author per 10,000
10 dialect per 10,000
ah'd
15 author per 10,000
0 dialect per 10,000
could
14 author per 10,000
12 dialect per 10,000
want
14 author per 10,000
5 dialect per 10,000
dead
14 author per 10,000
0 dialect per 10,000
can
14 author per 10,000
13 dialect per 10,000
after
14 author per 10,000
0 dialect per 10,000
gaun
14 author per 10,000
0 dialect per 10,000
kirsty
14 author per 10,000
0 dialect per 10,000
thought
14 author per 10,000
0 dialect per 10,000
wully
13 author per 10,000
0 dialect per 10,000
wid
13 author per 10,000
20 dialect per 10,000
really
13 author per 10,000
4 dialect per 10,000
huv
13 author per 10,000
0 dialect per 10,000
talkin
13 author per 10,000
0 dialect per 10,000
karen
13 author per 10,000
0 dialect per 10,000
naw
13 author per 10,000
0 dialect per 10,000
gettin
13 author per 10,000
0 dialect per 10,000
daein
13 author per 10,000
0 dialect per 10,000
only
12 author per 10,000
7 dialect per 10,000
marie
12 author per 10,000
0 dialect per 10,000
folk
12 author per 10,000
9 dialect per 10,000
noo
12 author per 10,000
27 dialect per 10,000
somethin
12 author per 10,000
0 dialect per 10,000
made
12 author per 10,000
3 dialect per 10,000
still
12 author per 10,000
11 dialect per 10,000
she'd
12 author per 10,000
0 dialect per 10,000
like
12 author per 10,000
31 dialect per 10,000
away
11 author per 10,000
1 dialect per 10,000
by
11 author per 10,000
16 dialect per 10,000
roon
11 author per 10,000
2 dialect per 10,000
other
11 author per 10,000
0 dialect per 10,000
asked
11 author per 10,000
2 dialect per 10,000
cannae
11 author per 10,000
0 dialect per 10,000
always
11 author per 10,000
1 dialect per 10,000
took
11 author per 10,000
3 dialect per 10,000
pals
11 author per 10,000
1 dialect per 10,000
ah've
11 author per 10,000
1 dialect per 10,000
next
10 author per 10,000
4 dialect per 10,000
here
10 author per 10,000
12 dialect per 10,000
night
10 author per 10,000
12 dialect per 10,000
first
10 author per 10,000
7 dialect per 10,000
nicola
10 author per 10,000
0 dialect per 10,000
anythin
10 author per 10,000
0 dialect per 10,000
says
10 author per 10,000
15 dialect per 10,000
tryin
10 author per 10,000
0 dialect per 10,000
way
10 author per 10,000
1 dialect per 10,000
tell
10 author per 10,000
6 dialect per 10,000
yvonne
10 author per 10,000
0 dialect per 10,000
good
10 author per 10,000
9 dialect per 10,000
€™s
10 author per 10,000
18 dialect per 10,000
who
9 author per 10,000
4 dialect per 10,000
charlene's
9 author per 10,000
0 dialect per 10,000
rice
9 author per 10,000
0 dialect per 10,000
wantet
9 author per 10,000
0 dialect per 10,000
new
9 author per 10,000
10 dialect per 10,000
ever
9 author per 10,000
1 dialect per 10,000
because
9 author per 10,000
1 dialect per 10,000
stuff
9 author per 10,000
2 dialect per 10,000
pit
9 author per 10,000
5 dialect per 10,000
couldnae
9 author per 10,000
0 dialect per 10,000
before
8 author per 10,000
1 dialect per 10,000
teacher
8 author per 10,000
0 dialect per 10,000
thing
8 author per 10,000
8 dialect per 10,000
same
8 author per 10,000
3 dialect per 10,000
face
8 author per 10,000
7 dialect per 10,000
again
8 author per 10,000
12 dialect per 10,000
bit
8 author per 10,000
48 dialect per 10,000
gied
8 author per 10,000
2 dialect per 10,000
any
8 author per 10,000
5 dialect per 10,000
anaw
8 author per 10,000
0 dialect per 10,000
mccoy
8 author per 10,000
0 dialect per 10,000
year
8 author per 10,000
7 dialect per 10,000
kyle
8 author per 10,000
0 dialect per 10,000
lassie
8 author per 10,000
0 dialect per 10,000
looked
8 author per 10,000
0 dialect per 10,000
half
8 author per 10,000
2 dialect per 10,000
some
8 author per 10,000
17 dialect per 10,000
used
8 author per 10,000
2 dialect per 10,000
your
8 author per 10,000
5 dialect per 10,000
ower
8 author per 10,000
18 dialect per 10,000
heid
8 author per 10,000
6 dialect per 10,000
sumdy
8 author per 10,000
0 dialect per 10,000
need
7 author per 10,000
4 dialect per 10,000
tried
7 author per 10,000
2 dialect per 10,000
where
7 author per 10,000
0 dialect per 10,000
evrubdy
7 author per 10,000
0 dialect per 10,000
stramash
7 author per 10,000
0 dialect per 10,000
bad
7 author per 10,000
3 dialect per 10,000
hoose
7 author per 10,000
11 dialect per 10,000
hair
7 author per 10,000
3 dialect per 10,000
ah'll
7 author per 10,000
6 dialect per 10,000
through
7 author per 10,000
8 dialect per 10,000
another
7 author per 10,000
0 dialect per 10,000
home
7 author per 10,000
10 dialect per 10,000
sittin
7 author per 10,000
0 dialect per 10,000
Southern
an
377 author per 10,000
310 dialect per 10,000
the
349 author per 10,000
438 dialect per 10,000
ah
308 author per 10,000
81 dialect per 10,000
tae
252 author per 10,000
203 dialect per 10,000
said
230 author per 10,000
70 dialect per 10,000
a
218 author per 10,000
223 dialect per 10,000
she
176 author per 10,000
97 dialect per 10,000
wis
157 author per 10,000
58 dialect per 10,000
ma
147 author per 10,000
59 dialect per 10,000
it
141 author per 10,000
58 dialect per 10,000
her
124 author per 10,000
16 dialect per 10,000
in
121 author per 10,000
106 dialect per 10,000
that
119 author per 10,000
64 dialect per 10,000
me
92 author per 10,000
14 dialect per 10,000
he
88 author per 10,000
11 dialect per 10,000
yi
78 author per 10,000
0 dialect per 10,000
cause
76 author per 10,000
1 dialect per 10,000
ae
75 author per 10,000
73 dialect per 10,000
aw
75 author per 10,000
34 dialect per 10,000
wi
73 author per 10,000
71 dialect per 10,000
charlene
71 author per 10,000
0 dialect per 10,000
fur
70 author per 10,000
42 dialect per 10,000
but
65 author per 10,000
38 dialect per 10,000
up
62 author per 10,000
41 dialect per 10,000
at
57 author per 10,000
74 dialect per 10,000
aboot
56 author per 10,000
31 dialect per 10,000
on
56 author per 10,000
56 dialect per 10,000
jist
52 author per 10,000
12 dialect per 10,000
got
52 author per 10,000
11 dialect per 10,000
no
48 author per 10,000
29 dialect per 10,000
whit
47 author per 10,000
32 dialect per 10,000
when
47 author per 10,000
14 dialect per 10,000
pure
44 author per 10,000
0 dialect per 10,000
wur
43 author per 10,000
29 dialect per 10,000
then
43 author per 10,000
16 dialect per 10,000
oot
41 author per 10,000
35 dialect per 10,000
be
39 author per 10,000
12 dialect per 10,000
she's
37 author per 10,000
1 dialect per 10,000
we
35 author per 10,000
10 dialect per 10,000
they
35 author per 10,000
30 dialect per 10,000
if
34 author per 10,000
16 dialect per 10,000
him
33 author per 10,000
11 dialect per 10,000
his
32 author per 10,000
37 dialect per 10,000
this
32 author per 10,000
35 dialect per 10,000
you
32 author per 10,000
2 dialect per 10,000
wan
30 author per 10,000
0 dialect per 10,000
had
30 author per 10,000
0 dialect per 10,000
aye
30 author per 10,000
10 dialect per 10,000
went
30 author per 10,000
13 dialect per 10,000
da
29 author per 10,000
0 dialect per 10,000
how
29 author per 10,000
9 dialect per 10,000
yir
29 author per 10,000
3 dialect per 10,000
don't
29 author per 10,000
0 dialect per 10,000
get
29 author per 10,000
10 dialect per 10,000
it's
28 author per 10,000
4 dialect per 10,000
as
28 author per 10,000
50 dialect per 10,000
lik
28 author per 10,000
18 dialect per 10,000
school
27 author per 10,000
0 dialect per 10,000
dae
27 author per 10,000
15 dialect per 10,000
chris
27 author per 10,000
0 dialect per 10,000
or
27 author per 10,000
22 dialect per 10,000
go
26 author per 10,000
1 dialect per 10,000
is
26 author per 10,000
65 dialect per 10,000
them
26 author per 10,000
4 dialect per 10,000
know
26 author per 10,000
0 dialect per 10,000
fae
25 author per 10,000
0 dialect per 10,000
think
25 author per 10,000
7 dialect per 10,000
us
25 author per 10,000
5 dialect per 10,000
been
25 author per 10,000
10 dialect per 10,000
thir
24 author per 10,000
2 dialect per 10,000
wee
24 author per 10,000
23 dialect per 10,000
even
24 author per 10,000
5 dialect per 10,000
so
24 author per 10,000
1 dialect per 10,000
right
23 author per 10,000
0 dialect per 10,000
laura
23 author per 10,000
0 dialect per 10,000
didnae
23 author per 10,000
5 dialect per 10,000
aff
22 author per 10,000
4 dialect per 10,000
that's
22 author per 10,000
5 dialect per 10,000
big
21 author per 10,000
5 dialect per 10,000
ah'm
21 author per 10,000
10 dialect per 10,000
he's
20 author per 10,000
0 dialect per 10,000
well
20 author per 10,000
1 dialect per 10,000
never
20 author per 10,000
4 dialect per 10,000
back
19 author per 10,000
20 dialect per 10,000
intae
19 author per 10,000
10 dialect per 10,000
time
19 author per 10,000
13 dialect per 10,000
-
18 author per 10,000
31 dialect per 10,000
harpreet
18 author per 10,000
0 dialect per 10,000
day
18 author per 10,000
18 dialect per 10,000
see
18 author per 10,000
5 dialect per 10,000
tolt
18 author per 10,000
0 dialect per 10,000
come
18 author per 10,000
7 dialect per 10,000
kelly
18 author per 10,000
0 dialect per 10,000
doon
18 author per 10,000
25 dialect per 10,000
are
18 author per 10,000
9 dialect per 10,000
though
17 author per 10,000
0 dialect per 10,000
oor
17 author per 10,000
11 dialect per 10,000
gaunnae
17 author per 10,000
0 dialect per 10,000
there
16 author per 10,000
16 dialect per 10,000
did
16 author per 10,000
10 dialect per 10,000
two
16 author per 10,000
0 dialect per 10,000
startet
16 author per 10,000
0 dialect per 10,000
class
16 author per 10,000
0 dialect per 10,000
wisnae
15 author per 10,000
3 dialect per 10,000
say
15 author per 10,000
18 dialect per 10,000
ah'd
15 author per 10,000
3 dialect per 10,000
could
14 author per 10,000
12 dialect per 10,000
want
14 author per 10,000
3 dialect per 10,000
dead
14 author per 10,000
0 dialect per 10,000
can
14 author per 10,000
10 dialect per 10,000
after
14 author per 10,000
1 dialect per 10,000
gaun
14 author per 10,000
15 dialect per 10,000
kirsty
14 author per 10,000
0 dialect per 10,000
thought
14 author per 10,000
0 dialect per 10,000
wully
13 author per 10,000
0 dialect per 10,000
wid
13 author per 10,000
1 dialect per 10,000
really
13 author per 10,000
2 dialect per 10,000
huv
13 author per 10,000
0 dialect per 10,000
talkin
13 author per 10,000
2 dialect per 10,000
karen
13 author per 10,000
0 dialect per 10,000
naw
13 author per 10,000
1 dialect per 10,000
gettin
13 author per 10,000
4 dialect per 10,000
daein
13 author per 10,000
2 dialect per 10,000
only
12 author per 10,000
8 dialect per 10,000
marie
12 author per 10,000
0 dialect per 10,000
folk
12 author per 10,000
3 dialect per 10,000
noo
12 author per 10,000
11 dialect per 10,000
somethin
12 author per 10,000
2 dialect per 10,000
made
12 author per 10,000
6 dialect per 10,000
still
12 author per 10,000
6 dialect per 10,000
she'd
12 author per 10,000
1 dialect per 10,000
like
12 author per 10,000
7 dialect per 10,000
away
11 author per 10,000
1 dialect per 10,000
by
11 author per 10,000
3 dialect per 10,000
roon
11 author per 10,000
2 dialect per 10,000
other
11 author per 10,000
1 dialect per 10,000
asked
11 author per 10,000
3 dialect per 10,000
cannae
11 author per 10,000
5 dialect per 10,000
always
11 author per 10,000
0 dialect per 10,000
took
11 author per 10,000
4 dialect per 10,000
pals
11 author per 10,000
0 dialect per 10,000
ah've
11 author per 10,000
5 dialect per 10,000
next
10 author per 10,000
5 dialect per 10,000
here
10 author per 10,000
14 dialect per 10,000
night
10 author per 10,000
0 dialect per 10,000
first
10 author per 10,000
1 dialect per 10,000
nicola
10 author per 10,000
0 dialect per 10,000
anythin
10 author per 10,000
0 dialect per 10,000
says
10 author per 10,000
3 dialect per 10,000
tryin
10 author per 10,000
2 dialect per 10,000
way
10 author per 10,000
1 dialect per 10,000
tell
10 author per 10,000
9 dialect per 10,000
yvonne
10 author per 10,000
0 dialect per 10,000
good
10 author per 10,000
0 dialect per 10,000
€™s
10 author per 10,000
37 dialect per 10,000
who
9 author per 10,000
0 dialect per 10,000
charlene's
9 author per 10,000
0 dialect per 10,000
rice
9 author per 10,000
1 dialect per 10,000
wantet
9 author per 10,000
0 dialect per 10,000
new
9 author per 10,000
7 dialect per 10,000
ever
9 author per 10,000
0 dialect per 10,000
because
9 author per 10,000
2 dialect per 10,000
stuff
9 author per 10,000
1 dialect per 10,000
pit
9 author per 10,000
2 dialect per 10,000
couldnae
9 author per 10,000
3 dialect per 10,000
before
8 author per 10,000
0 dialect per 10,000
teacher
8 author per 10,000
1 dialect per 10,000
thing
8 author per 10,000
2 dialect per 10,000
same
8 author per 10,000
6 dialect per 10,000
face
8 author per 10,000
5 dialect per 10,000
again
8 author per 10,000
3 dialect per 10,000
bit
8 author per 10,000
15 dialect per 10,000
gied
8 author per 10,000
1 dialect per 10,000
any
8 author per 10,000
0 dialect per 10,000
anaw
8 author per 10,000
0 dialect per 10,000
mccoy
8 author per 10,000
0 dialect per 10,000
year
8 author per 10,000
5 dialect per 10,000
kyle
8 author per 10,000
0 dialect per 10,000
lassie
8 author per 10,000
3 dialect per 10,000
looked
8 author per 10,000
6 dialect per 10,000
half
8 author per 10,000
0 dialect per 10,000
some
8 author per 10,000
10 dialect per 10,000
used
8 author per 10,000
0 dialect per 10,000
your
8 author per 10,000
0 dialect per 10,000
ower
8 author per 10,000
14 dialect per 10,000
heid
8 author per 10,000
17 dialect per 10,000
sumdy
8 author per 10,000
0 dialect per 10,000
need
7 author per 10,000
1 dialect per 10,000
tried
7 author per 10,000
3 dialect per 10,000
where
7 author per 10,000
3 dialect per 10,000
evrubdy
7 author per 10,000
0 dialect per 10,000
stramash
7 author per 10,000
0 dialect per 10,000
bad
7 author per 10,000
1 dialect per 10,000
hoose
7 author per 10,000
22 dialect per 10,000
hair
7 author per 10,000
1 dialect per 10,000
ah'll
7 author per 10,000
5 dialect per 10,000
through
7 author per 10,000
1 dialect per 10,000
another
7 author per 10,000
0 dialect per 10,000
home
7 author per 10,000
0 dialect per 10,000
sittin
7 author per 10,000
2 dialect per 10,000
Ulster
an
377 author per 10,000
364 dialect per 10,000
the
349 author per 10,000
296 dialect per 10,000
ah
308 author per 10,000
13 dialect per 10,000
tae
252 author per 10,000
259 dialect per 10,000
said
230 author per 10,000
29 dialect per 10,000
a
218 author per 10,000
284 dialect per 10,000
she
176 author per 10,000
13 dialect per 10,000
wis
157 author per 10,000
1 dialect per 10,000
ma
147 author per 10,000
21 dialect per 10,000
it
141 author per 10,000
71 dialect per 10,000
her
124 author per 10,000
7 dialect per 10,000
in
121 author per 10,000
120 dialect per 10,000
that
119 author per 10,000
72 dialect per 10,000
me
92 author per 10,000
24 dialect per 10,000
he
88 author per 10,000
63 dialect per 10,000
yi
78 author per 10,000
0 dialect per 10,000
cause
76 author per 10,000
0 dialect per 10,000
ae
75 author per 10,000
0 dialect per 10,000
aw
75 author per 10,000
1 dialect per 10,000
wi
73 author per 10,000
61 dialect per 10,000
charlene
71 author per 10,000
0 dialect per 10,000
fur
70 author per 10,000
45 dialect per 10,000
but
65 author per 10,000
42 dialect per 10,000
up
62 author per 10,000
31 dialect per 10,000
at
57 author per 10,000
58 dialect per 10,000
aboot
56 author per 10,000
27 dialect per 10,000
on
56 author per 10,000
54 dialect per 10,000
jist
52 author per 10,000
9 dialect per 10,000
got
52 author per 10,000
9 dialect per 10,000
no
48 author per 10,000
22 dialect per 10,000
whit
47 author per 10,000
2 dialect per 10,000
when
47 author per 10,000
2 dialect per 10,000
pure
44 author per 10,000
0 dialect per 10,000
wur
43 author per 10,000
17 dialect per 10,000
then
43 author per 10,000
17 dialect per 10,000
oot
41 author per 10,000
51 dialect per 10,000
be
39 author per 10,000
40 dialect per 10,000
she's
37 author per 10,000
1 dialect per 10,000
we
35 author per 10,000
18 dialect per 10,000
they
35 author per 10,000
26 dialect per 10,000
if
34 author per 10,000
13 dialect per 10,000
him
33 author per 10,000
9 dialect per 10,000
his
32 author per 10,000
19 dialect per 10,000
this
32 author per 10,000
28 dialect per 10,000
you
32 author per 10,000
4 dialect per 10,000
wan
30 author per 10,000
0 dialect per 10,000
had
30 author per 10,000
15 dialect per 10,000
aye
30 author per 10,000
12 dialect per 10,000
went
30 author per 10,000
12 dialect per 10,000
da
29 author per 10,000
1 dialect per 10,000
how
29 author per 10,000
0 dialect per 10,000
yir
29 author per 10,000
2 dialect per 10,000
don't
29 author per 10,000
0 dialect per 10,000
get
29 author per 10,000
8 dialect per 10,000
it's
28 author per 10,000
13 dialect per 10,000
as
28 author per 10,000
29 dialect per 10,000
lik
28 author per 10,000
6 dialect per 10,000
school
27 author per 10,000
0 dialect per 10,000
dae
27 author per 10,000
24 dialect per 10,000
chris
27 author per 10,000
0 dialect per 10,000
or
27 author per 10,000
36 dialect per 10,000
go
26 author per 10,000
4 dialect per 10,000
is
26 author per 10,000
19 dialect per 10,000
them
26 author per 10,000
7 dialect per 10,000
know
26 author per 10,000
10 dialect per 10,000
fae
25 author per 10,000
14 dialect per 10,000
think
25 author per 10,000
7 dialect per 10,000
us
25 author per 10,000
4 dialect per 10,000
been
25 author per 10,000
2 dialect per 10,000
thir
24 author per 10,000
4 dialect per 10,000
wee
24 author per 10,000
26 dialect per 10,000
even
24 author per 10,000
4 dialect per 10,000
so
24 author per 10,000
5 dialect per 10,000
right
23 author per 10,000
1 dialect per 10,000
laura
23 author per 10,000
0 dialect per 10,000
didnae
23 author per 10,000
5 dialect per 10,000
aff
22 author per 10,000
15 dialect per 10,000
that's
22 author per 10,000
8 dialect per 10,000
big
21 author per 10,000
8 dialect per 10,000
ah'm
21 author per 10,000
1 dialect per 10,000
he's
20 author per 10,000
3 dialect per 10,000
well
20 author per 10,000
2 dialect per 10,000
never
20 author per 10,000
1 dialect per 10,000
back
19 author per 10,000
3 dialect per 10,000
intae
19 author per 10,000
13 dialect per 10,000
time
19 author per 10,000
13 dialect per 10,000
-
18 author per 10,000
27 dialect per 10,000
harpreet
18 author per 10,000
0 dialect per 10,000
day
18 author per 10,000
15 dialect per 10,000
see
18 author per 10,000
16 dialect per 10,000
tolt
18 author per 10,000
0 dialect per 10,000
come
18 author per 10,000
9 dialect per 10,000
kelly
18 author per 10,000
0 dialect per 10,000
doon
18 author per 10,000
28 dialect per 10,000
are
18 author per 10,000
4 dialect per 10,000
though
17 author per 10,000
1 dialect per 10,000
oor
17 author per 10,000
16 dialect per 10,000
gaunnae
17 author per 10,000
0 dialect per 10,000
there
16 author per 10,000
6 dialect per 10,000
did
16 author per 10,000
4 dialect per 10,000
two
16 author per 10,000
0 dialect per 10,000
startet
16 author per 10,000
0 dialect per 10,000
class
16 author per 10,000
0 dialect per 10,000
wisnae
15 author per 10,000
0 dialect per 10,000
say
15 author per 10,000
10 dialect per 10,000
ah'd
15 author per 10,000
0 dialect per 10,000
could
14 author per 10,000
1 dialect per 10,000
want
14 author per 10,000
4 dialect per 10,000
dead
14 author per 10,000
0 dialect per 10,000
can
14 author per 10,000
14 dialect per 10,000
after
14 author per 10,000
0 dialect per 10,000
gaun
14 author per 10,000
2 dialect per 10,000
kirsty
14 author per 10,000
0 dialect per 10,000
thought
14 author per 10,000
0 dialect per 10,000
wully
13 author per 10,000
0 dialect per 10,000
wid
13 author per 10,000
1 dialect per 10,000
really
13 author per 10,000
1 dialect per 10,000
huv
13 author per 10,000
0 dialect per 10,000
talkin
13 author per 10,000
0 dialect per 10,000
karen
13 author per 10,000
0 dialect per 10,000
naw
13 author per 10,000
10 dialect per 10,000
gettin
13 author per 10,000
2 dialect per 10,000
daein
13 author per 10,000
3 dialect per 10,000
only
12 author per 10,000
3 dialect per 10,000
marie
12 author per 10,000
0 dialect per 10,000
folk
12 author per 10,000
5 dialect per 10,000
noo
12 author per 10,000
23 dialect per 10,000
somethin
12 author per 10,000
2 dialect per 10,000
made
12 author per 10,000
6 dialect per 10,000
still
12 author per 10,000
4 dialect per 10,000
she'd
12 author per 10,000
0 dialect per 10,000
like
12 author per 10,000
9 dialect per 10,000
away
11 author per 10,000
1 dialect per 10,000
by
11 author per 10,000
8 dialect per 10,000
roon
11 author per 10,000
11 dialect per 10,000
other
11 author per 10,000
0 dialect per 10,000
asked
11 author per 10,000
0 dialect per 10,000
cannae
11 author per 10,000
8 dialect per 10,000
always
11 author per 10,000
0 dialect per 10,000
took
11 author per 10,000
1 dialect per 10,000
pals
11 author per 10,000
0 dialect per 10,000
ah've
11 author per 10,000
0 dialect per 10,000
next
10 author per 10,000
0 dialect per 10,000
here
10 author per 10,000
10 dialect per 10,000
night
10 author per 10,000
0 dialect per 10,000
first
10 author per 10,000
1 dialect per 10,000
nicola
10 author per 10,000
0 dialect per 10,000
anythin
10 author per 10,000
0 dialect per 10,000
says
10 author per 10,000
3 dialect per 10,000
tryin
10 author per 10,000
1 dialect per 10,000
way
10 author per 10,000
1 dialect per 10,000
tell
10 author per 10,000
10 dialect per 10,000
yvonne
10 author per 10,000
0 dialect per 10,000
good
10 author per 10,000
0 dialect per 10,000
€™s
10 author per 10,000
11 dialect per 10,000
who
9 author per 10,000
1 dialect per 10,000
charlene's
9 author per 10,000
0 dialect per 10,000
rice
9 author per 10,000
0 dialect per 10,000
wantet
9 author per 10,000
0 dialect per 10,000
new
9 author per 10,000
8 dialect per 10,000
ever
9 author per 10,000
0 dialect per 10,000
because
9 author per 10,000
0 dialect per 10,000
stuff
9 author per 10,000
1 dialect per 10,000
pit
9 author per 10,000
11 dialect per 10,000
couldnae
9 author per 10,000
0 dialect per 10,000
before
8 author per 10,000
0 dialect per 10,000
teacher
8 author per 10,000
0 dialect per 10,000
thing
8 author per 10,000
7 dialect per 10,000
same
8 author per 10,000
5 dialect per 10,000
face
8 author per 10,000
3 dialect per 10,000
again
8 author per 10,000
2 dialect per 10,000
bit
8 author per 10,000
10 dialect per 10,000
gied
8 author per 10,000
1 dialect per 10,000
any
8 author per 10,000
0 dialect per 10,000
anaw
8 author per 10,000
0 dialect per 10,000
mccoy
8 author per 10,000
0 dialect per 10,000
year
8 author per 10,000
2 dialect per 10,000
kyle
8 author per 10,000
0 dialect per 10,000
lassie
8 author per 10,000
0 dialect per 10,000
looked
8 author per 10,000
0 dialect per 10,000
half
8 author per 10,000
2 dialect per 10,000
some
8 author per 10,000
6 dialect per 10,000
used
8 author per 10,000
0 dialect per 10,000
your
8 author per 10,000
1 dialect per 10,000
ower
8 author per 10,000
16 dialect per 10,000
heid
8 author per 10,000
12 dialect per 10,000
sumdy
8 author per 10,000
0 dialect per 10,000
need
7 author per 10,000
4 dialect per 10,000
tried
7 author per 10,000
1 dialect per 10,000
where
7 author per 10,000
1 dialect per 10,000
evrubdy
7 author per 10,000
0 dialect per 10,000
stramash
7 author per 10,000
0 dialect per 10,000
bad
7 author per 10,000
3 dialect per 10,000
hoose
7 author per 10,000
13 dialect per 10,000
hair
7 author per 10,000
1 dialect per 10,000
ah'll
7 author per 10,000
1 dialect per 10,000
through
7 author per 10,000
4 dialect per 10,000
another
7 author per 10,000
0 dialect per 10,000
home
7 author per 10,000
0 dialect per 10,000
sittin
7 author per 10,000
1 dialect per 10,000