Central
ye
469 author per 10,000
59 dialect per 10,000
ah
462 author per 10,000
80 dialect per 10,000
tae
289 author per 10,000
211 dialect per 10,000
that
276 author per 10,000
109 dialect per 10,000
-
244 author per 10,000
26 dialect per 10,000
the
237 author per 10,000
562 dialect per 10,000
a
212 author per 10,000
263 dialect per 10,000
me
205 author per 10,000
40 dialect per 10,000
wis
199 author per 10,000
98 dialect per 10,000
it
148 author per 10,000
118 dialect per 10,000
in
122 author per 10,000
148 dialect per 10,000
but
109 author per 10,000
48 dialect per 10,000
ma
109 author per 10,000
52 dialect per 10,000
o'
103 author per 10,000
1 dialect per 10,000
jist
96 author per 10,000
22 dialect per 10,000
be
96 author per 10,000
49 dialect per 10,000
and
90 author per 10,000
107 dialect per 10,000
an'
83 author per 10,000
2 dialect per 10,000
a'
83 author per 10,000
1 dialect per 10,000
dae
83 author per 10,000
17 dialect per 10,000
when
83 author per 10,000
18 dialect per 10,000
were
77 author per 10,000
16 dialect per 10,000
ken
77 author per 10,000
14 dialect per 10,000
no'
71 author per 10,000
0 dialect per 10,000
aboot
71 author per 10,000
29 dialect per 10,000
hae
71 author per 10,000
22 dialect per 10,000
never
71 author per 10,000
6 dialect per 10,000
did
64 author per 10,000
8 dialect per 10,000
like
64 author per 10,000
27 dialect per 10,000
as
64 author per 10,000
60 dialect per 10,000
whit
64 author per 10,000
29 dialect per 10,000
mind
58 author per 10,000
7 dialect per 10,000
man
58 author per 10,000
10 dialect per 10,000
we
58 author per 10,000
35 dialect per 10,000
wi'
58 author per 10,000
1 dialect per 10,000
day
58 author per 10,000
14 dialect per 10,000
jessie
58 author per 10,000
0 dialect per 10,000
noo
58 author per 10,000
13 dialect per 10,000
there
51 author per 10,000
25 dialect per 10,000
too
51 author per 10,000
3 dialect per 10,000
at
51 author per 10,000
58 dialect per 10,000
for
51 author per 10,000
47 dialect per 10,000
wee
51 author per 10,000
27 dialect per 10,000
he
45 author per 10,000
92 dialect per 10,000
time
45 author per 10,000
17 dialect per 10,000
even
39 author per 10,000
10 dialect per 10,000
micht
39 author per 10,000
7 dialect per 10,000
see
39 author per 10,000
17 dialect per 10,000
this
39 author per 10,000
43 dialect per 10,000
auld
39 author per 10,000
14 dialect per 10,000
think
39 author per 10,000
9 dialect per 10,000
said
39 author per 10,000
41 dialect per 10,000
always
39 author per 10,000
2 dialect per 10,000
wish
32 author per 10,000
1 dialect per 10,000
his
32 author per 10,000
56 dialect per 10,000
yer
32 author per 10,000
17 dialect per 10,000
oor
32 author per 10,000
16 dialect per 10,000
him
32 author per 10,000
30 dialect per 10,000
here
32 author per 10,000
12 dialect per 10,000
on
32 author per 10,000
55 dialect per 10,000
could
32 author per 10,000
9 dialect per 10,000
thegither
32 author per 10,000
3 dialect per 10,000
used
32 author per 10,000
2 dialect per 10,000
ah've
32 author per 10,000
3 dialect per 10,000
would
32 author per 10,000
2 dialect per 10,000
oot
32 author per 10,000
39 dialect per 10,000
them
32 author per 10,000
18 dialect per 10,000
been
32 author per 10,000
19 dialect per 10,000
had
32 author per 10,000
24 dialect per 10,000
us
26 author per 10,000
15 dialect per 10,000
if
26 author per 10,000
18 dialect per 10,000
ither
26 author per 10,000
11 dialect per 10,000
didnae
26 author per 10,000
6 dialect per 10,000
afore
26 author per 10,000
9 dialect per 10,000
why
26 author per 10,000
2 dialect per 10,000
last
26 author per 10,000
5 dialect per 10,000
then
26 author per 10,000
16 dialect per 10,000
she
26 author per 10,000
55 dialect per 10,000
get
26 author per 10,000
15 dialect per 10,000
wan
26 author per 10,000
9 dialect per 10,000
guid
26 author per 10,000
11 dialect per 10,000
no
26 author per 10,000
35 dialect per 10,000
i
26 author per 10,000
38 dialect per 10,000
they
26 author per 10,000
43 dialect per 10,000
so
26 author per 10,000
9 dialect per 10,000
got
26 author per 10,000
12 dialect per 10,000
up
26 author per 10,000
40 dialect per 10,000
ah'm
26 author per 10,000
6 dialect per 10,000
by
26 author per 10,000
16 dialect per 10,000
it's
26 author per 10,000
16 dialect per 10,000
look
26 author per 10,000
5 dialect per 10,000
much
26 author per 10,000
3 dialect per 10,000
again
19 author per 10,000
8 dialect per 10,000
weans
19 author per 10,000
2 dialect per 10,000
must
19 author per 10,000
2 dialect per 10,000
wance
19 author per 10,000
1 dialect per 10,000
thinkin'
19 author per 10,000
0 dialect per 10,000
mornin'
19 author per 10,000
0 dialect per 10,000
talk
19 author per 10,000
2 dialect per 10,000
noo'
19 author per 10,000
0 dialect per 10,000
twa
19 author per 10,000
10 dialect per 10,000
dinnae
19 author per 10,000
6 dialect per 10,000
telt
19 author per 10,000
5 dialect per 10,000
maist
19 author per 10,000
8 dialect per 10,000
way
19 author per 10,000
3 dialect per 10,000
aye
19 author per 10,000
15 dialect per 10,000
left
19 author per 10,000
5 dialect per 10,000
folk
19 author per 10,000
4 dialect per 10,000
onybody
19 author per 10,000
1 dialect per 10,000
gettin'
19 author per 10,000
0 dialect per 10,000
that's
19 author per 10,000
8 dialect per 10,000
come
19 author per 10,000
9 dialect per 10,000
fine
19 author per 10,000
3 dialect per 10,000
wedding
19 author per 10,000
0 dialect per 10,000
many
19 author per 10,000
1 dialect per 10,000
sae
19 author per 10,000
16 dialect per 10,000
let
19 author per 10,000
4 dialect per 10,000
only
19 author per 10,000
5 dialect per 10,000
really
19 author per 10,000
4 dialect per 10,000
ah'd
19 author per 10,000
2 dialect per 10,000
have
19 author per 10,000
2 dialect per 10,000
weel
19 author per 10,000
9 dialect per 10,000
faur
19 author per 10,000
3 dialect per 10,000
remember
19 author per 10,000
1 dialect per 10,000
mair
19 author per 10,000
20 dialect per 10,000
first
19 author per 10,000
9 dialect per 10,000
mither
13 author per 10,000
4 dialect per 10,000
happy
13 author per 10,000
1 dialect per 10,000
ah'll
13 author per 10,000
2 dialect per 10,000
every
13 author per 10,000
2 dialect per 10,000
better
13 author per 10,000
5 dialect per 10,000
ony
13 author per 10,000
6 dialect per 10,000
things
13 author per 10,000
6 dialect per 10,000
should
13 author per 10,000
3 dialect per 10,000
sich
13 author per 10,000
0 dialect per 10,000
woman
13 author per 10,000
0 dialect per 10,000
hit
13 author per 10,000
1 dialect per 10,000
problem
13 author per 10,000
1 dialect per 10,000
say
13 author per 10,000
10 dialect per 10,000
back
13 author per 10,000
20 dialect per 10,000
week
13 author per 10,000
2 dialect per 10,000
een
13 author per 10,000
5 dialect per 10,000
richt
13 author per 10,000
12 dialect per 10,000
hear
13 author per 10,000
4 dialect per 10,000
disnae
13 author per 10,000
2 dialect per 10,000
toon
13 author per 10,000
1 dialect per 10,000
rain
13 author per 10,000
1 dialect per 10,000
mean
13 author per 10,000
4 dialect per 10,000
bother
13 author per 10,000
1 dialect per 10,000
made
13 author per 10,000
7 dialect per 10,000
than
13 author per 10,000
11 dialect per 10,000
voice
13 author per 10,000
2 dialect per 10,000
talked
13 author per 10,000
0 dialect per 10,000
getting
13 author per 10,000
1 dialect per 10,000
because
13 author per 10,000
3 dialect per 10,000
lads
13 author per 10,000
2 dialect per 10,000
roon
13 author per 10,000
3 dialect per 10,000
how
13 author per 10,000
6 dialect per 10,000
word
13 author per 10,000
2 dialect per 10,000
john
13 author per 10,000
2 dialect per 10,000
suit
13 author per 10,000
0 dialect per 10,000
bad
13 author per 10,000
3 dialect per 10,000
miss
13 author per 10,000
5 dialect per 10,000
bed
13 author per 10,000
3 dialect per 10,000
big
13 author per 10,000
8 dialect per 10,000
fur
13 author per 10,000
23 dialect per 10,000
days
13 author per 10,000
5 dialect per 10,000
onyway
13 author per 10,000
0 dialect per 10,000
faither
13 author per 10,000
4 dialect per 10,000
yours
13 author per 10,000
1 dialect per 10,000
boy
13 author per 10,000
1 dialect per 10,000
gie
13 author per 10,000
7 dialect per 10,000
happened
13 author per 10,000
1 dialect per 10,000
jimmy
13 author per 10,000
0 dialect per 10,000
aroon
13 author per 10,000
1 dialect per 10,000
married
13 author per 10,000
0 dialect per 10,000
tried
13 author per 10,000
2 dialect per 10,000
maybe
13 author per 10,000
1 dialect per 10,000
he's
13 author per 10,000
6 dialect per 10,000
years
13 author per 10,000
4 dialect per 10,000
can
13 author per 10,000
15 dialect per 10,000
sittin'
13 author per 10,000
0 dialect per 10,000
after
13 author per 10,000
1 dialect per 10,000
bothered
13 author per 10,000
0 dialect per 10,000
quite
13 author per 10,000
1 dialect per 10,000
suppose
13 author per 10,000
1 dialect per 10,000
bit
13 author per 10,000
15 dialect per 10,000
whether
13 author per 10,000
1 dialect per 10,000
promised
13 author per 10,000
0 dialect per 10,000
or
13 author per 10,000
29 dialect per 10,000
nicht
13 author per 10,000
5 dialect per 10,000
went
13 author per 10,000
7 dialect per 10,000
hope
13 author per 10,000
1 dialect per 10,000
don't
13 author per 10,000
2 dialect per 10,000
are
13 author per 10,000
18 dialect per 10,000
acts
6 author per 10,000
0 dialect per 10,000
treatin'
6 author per 10,000
0 dialect per 10,000
lassies
6 author per 10,000
1 dialect per 10,000
packed
6 author per 10,000
0 dialect per 10,000
shite
6 author per 10,000
1 dialect per 10,000
Doric
ye
469 author per 10,000
94 dialect per 10,000
ah
462 author per 10,000
43 dialect per 10,000
tae
289 author per 10,000
164 dialect per 10,000
that
276 author per 10,000
51 dialect per 10,000
-
244 author per 10,000
25 dialect per 10,000
the
237 author per 10,000
469 dialect per 10,000
a
212 author per 10,000
300 dialect per 10,000
me
205 author per 10,000
31 dialect per 10,000
wis
199 author per 10,000
104 dialect per 10,000
it
148 author per 10,000
104 dialect per 10,000
in
122 author per 10,000
135 dialect per 10,000
but
109 author per 10,000
25 dialect per 10,000
ma
109 author per 10,000
46 dialect per 10,000
o'
103 author per 10,000
6 dialect per 10,000
jist
96 author per 10,000
35 dialect per 10,000
be
96 author per 10,000
46 dialect per 10,000
and
90 author per 10,000
43 dialect per 10,000
an'
83 author per 10,000
2 dialect per 10,000
a'
83 author per 10,000
1 dialect per 10,000
dae
83 author per 10,000
5 dialect per 10,000
when
83 author per 10,000
3 dialect per 10,000
were
77 author per 10,000
13 dialect per 10,000
ken
77 author per 10,000
23 dialect per 10,000
no'
71 author per 10,000
0 dialect per 10,000
aboot
71 author per 10,000
33 dialect per 10,000
hae
71 author per 10,000
20 dialect per 10,000
never
71 author per 10,000
2 dialect per 10,000
did
64 author per 10,000
10 dialect per 10,000
like
64 author per 10,000
40 dialect per 10,000
as
64 author per 10,000
55 dialect per 10,000
whit
64 author per 10,000
2 dialect per 10,000
mind
58 author per 10,000
5 dialect per 10,000
man
58 author per 10,000
7 dialect per 10,000
we
58 author per 10,000
21 dialect per 10,000
wi'
58 author per 10,000
4 dialect per 10,000
day
58 author per 10,000
28 dialect per 10,000
jessie
58 author per 10,000
3 dialect per 10,000
noo
58 author per 10,000
21 dialect per 10,000
there
51 author per 10,000
23 dialect per 10,000
too
51 author per 10,000
1 dialect per 10,000
at
51 author per 10,000
70 dialect per 10,000
for
51 author per 10,000
45 dialect per 10,000
wee
51 author per 10,000
19 dialect per 10,000
he
45 author per 10,000
97 dialect per 10,000
time
45 author per 10,000
20 dialect per 10,000
even
39 author per 10,000
6 dialect per 10,000
micht
39 author per 10,000
6 dialect per 10,000
see
39 author per 10,000
22 dialect per 10,000
this
39 author per 10,000
18 dialect per 10,000
auld
39 author per 10,000
8 dialect per 10,000
think
39 author per 10,000
12 dialect per 10,000
said
39 author per 10,000
39 dialect per 10,000
always
39 author per 10,000
0 dialect per 10,000
wish
32 author per 10,000
2 dialect per 10,000
his
32 author per 10,000
72 dialect per 10,000
yer
32 author per 10,000
35 dialect per 10,000
oor
32 author per 10,000
6 dialect per 10,000
him
32 author per 10,000
33 dialect per 10,000
here
32 author per 10,000
11 dialect per 10,000
on
32 author per 10,000
67 dialect per 10,000
could
32 author per 10,000
8 dialect per 10,000
thegither
32 author per 10,000
2 dialect per 10,000
used
32 author per 10,000
1 dialect per 10,000
ah've
32 author per 10,000
2 dialect per 10,000
would
32 author per 10,000
1 dialect per 10,000
oot
32 author per 10,000
48 dialect per 10,000
them
32 author per 10,000
25 dialect per 10,000
been
32 author per 10,000
13 dialect per 10,000
had
32 author per 10,000
4 dialect per 10,000
us
26 author per 10,000
6 dialect per 10,000
if
26 author per 10,000
17 dialect per 10,000
ither
26 author per 10,000
8 dialect per 10,000
didnae
26 author per 10,000
1 dialect per 10,000
afore
26 author per 10,000
14 dialect per 10,000
why
26 author per 10,000
1 dialect per 10,000
last
26 author per 10,000
5 dialect per 10,000
then
26 author per 10,000
9 dialect per 10,000
she
26 author per 10,000
73 dialect per 10,000
get
26 author per 10,000
15 dialect per 10,000
wan
26 author per 10,000
4 dialect per 10,000
guid
26 author per 10,000
4 dialect per 10,000
no
26 author per 10,000
8 dialect per 10,000
i
26 author per 10,000
71 dialect per 10,000
they
26 author per 10,000
38 dialect per 10,000
so
26 author per 10,000
14 dialect per 10,000
got
26 author per 10,000
13 dialect per 10,000
up
26 author per 10,000
45 dialect per 10,000
ah'm
26 author per 10,000
8 dialect per 10,000
by
26 author per 10,000
9 dialect per 10,000
it's
26 author per 10,000
21 dialect per 10,000
look
26 author per 10,000
7 dialect per 10,000
much
26 author per 10,000
4 dialect per 10,000
again
19 author per 10,000
11 dialect per 10,000
weans
19 author per 10,000
0 dialect per 10,000
must
19 author per 10,000
1 dialect per 10,000
wance
19 author per 10,000
1 dialect per 10,000
thinkin'
19 author per 10,000
0 dialect per 10,000
mornin'
19 author per 10,000
0 dialect per 10,000
talk
19 author per 10,000
1 dialect per 10,000
noo'
19 author per 10,000
0 dialect per 10,000
twa
19 author per 10,000
18 dialect per 10,000
dinnae
19 author per 10,000
0 dialect per 10,000
telt
19 author per 10,000
8 dialect per 10,000
maist
19 author per 10,000
4 dialect per 10,000
way
19 author per 10,000
2 dialect per 10,000
aye
19 author per 10,000
20 dialect per 10,000
left
19 author per 10,000
5 dialect per 10,000
folk
19 author per 10,000
4 dialect per 10,000
onybody
19 author per 10,000
2 dialect per 10,000
gettin'
19 author per 10,000
0 dialect per 10,000
that's
19 author per 10,000
2 dialect per 10,000
come
19 author per 10,000
14 dialect per 10,000
fine
19 author per 10,000
12 dialect per 10,000
wedding
19 author per 10,000
0 dialect per 10,000
many
19 author per 10,000
0 dialect per 10,000
sae
19 author per 10,000
15 dialect per 10,000
let
19 author per 10,000
5 dialect per 10,000
only
19 author per 10,000
6 dialect per 10,000
really
19 author per 10,000
4 dialect per 10,000
ah'd
19 author per 10,000
2 dialect per 10,000
have
19 author per 10,000
1 dialect per 10,000
weel
19 author per 10,000
18 dialect per 10,000
faur
19 author per 10,000
0 dialect per 10,000
remember
19 author per 10,000
0 dialect per 10,000
mair
19 author per 10,000
18 dialect per 10,000
first
19 author per 10,000
7 dialect per 10,000
mither
13 author per 10,000
8 dialect per 10,000
happy
13 author per 10,000
2 dialect per 10,000
ah'll
13 author per 10,000
3 dialect per 10,000
every
13 author per 10,000
1 dialect per 10,000
better
13 author per 10,000
7 dialect per 10,000
ony
13 author per 10,000
9 dialect per 10,000
things
13 author per 10,000
7 dialect per 10,000
should
13 author per 10,000
3 dialect per 10,000
sich
13 author per 10,000
0 dialect per 10,000
woman
13 author per 10,000
0 dialect per 10,000
hit
13 author per 10,000
1 dialect per 10,000
problem
13 author per 10,000
0 dialect per 10,000
say
13 author per 10,000
15 dialect per 10,000
back
13 author per 10,000
22 dialect per 10,000
week
13 author per 10,000
1 dialect per 10,000
een
13 author per 10,000
19 dialect per 10,000
richt
13 author per 10,000
18 dialect per 10,000
hear
13 author per 10,000
4 dialect per 10,000
disnae
13 author per 10,000
0 dialect per 10,000
toon
13 author per 10,000
4 dialect per 10,000
rain
13 author per 10,000
7 dialect per 10,000
mean
13 author per 10,000
2 dialect per 10,000
bother
13 author per 10,000
1 dialect per 10,000
made
13 author per 10,000
8 dialect per 10,000
than
13 author per 10,000
8 dialect per 10,000
voice
13 author per 10,000
2 dialect per 10,000
talked
13 author per 10,000
0 dialect per 10,000
getting
13 author per 10,000
1 dialect per 10,000
because
13 author per 10,000
2 dialect per 10,000
lads
13 author per 10,000
1 dialect per 10,000
roon
13 author per 10,000
11 dialect per 10,000
how
13 author per 10,000
2 dialect per 10,000
word
13 author per 10,000
1 dialect per 10,000
john
13 author per 10,000
1 dialect per 10,000
suit
13 author per 10,000
1 dialect per 10,000
bad
13 author per 10,000
2 dialect per 10,000
miss
13 author per 10,000
2 dialect per 10,000
bed
13 author per 10,000
3 dialect per 10,000
big
13 author per 10,000
5 dialect per 10,000
fur
13 author per 10,000
16 dialect per 10,000
days
13 author per 10,000
5 dialect per 10,000
onyway
13 author per 10,000
0 dialect per 10,000
faither
13 author per 10,000
5 dialect per 10,000
yours
13 author per 10,000
1 dialect per 10,000
boy
13 author per 10,000
0 dialect per 10,000
gie
13 author per 10,000
7 dialect per 10,000
happened
13 author per 10,000
2 dialect per 10,000
jimmy
13 author per 10,000
1 dialect per 10,000
aroon
13 author per 10,000
4 dialect per 10,000
married
13 author per 10,000
0 dialect per 10,000
tried
13 author per 10,000
3 dialect per 10,000
maybe
13 author per 10,000
1 dialect per 10,000
he's
13 author per 10,000
5 dialect per 10,000
years
13 author per 10,000
2 dialect per 10,000
can
13 author per 10,000
13 dialect per 10,000
sittin'
13 author per 10,000
0 dialect per 10,000
after
13 author per 10,000
0 dialect per 10,000
bothered
13 author per 10,000
0 dialect per 10,000
quite
13 author per 10,000
2 dialect per 10,000
suppose
13 author per 10,000
1 dialect per 10,000
bit
13 author per 10,000
41 dialect per 10,000
whether
13 author per 10,000
0 dialect per 10,000
promised
13 author per 10,000
0 dialect per 10,000
or
13 author per 10,000
25 dialect per 10,000
nicht
13 author per 10,000
12 dialect per 10,000
went
13 author per 10,000
5 dialect per 10,000
hope
13 author per 10,000
2 dialect per 10,000
don't
13 author per 10,000
0 dialect per 10,000
are
13 author per 10,000
14 dialect per 10,000
acts
6 author per 10,000
0 dialect per 10,000
treatin'
6 author per 10,000
0 dialect per 10,000
lassies
6 author per 10,000
0 dialect per 10,000
packed
6 author per 10,000
0 dialect per 10,000
shite
6 author per 10,000
0 dialect per 10,000
Shetland
ye
469 author per 10,000
0 dialect per 10,000
ah
462 author per 10,000
0 dialect per 10,000
tae
289 author per 10,000
86 dialect per 10,000
that
276 author per 10,000
4 dialect per 10,000
-
244 author per 10,000
53 dialect per 10,000
the
237 author per 10,000
18 dialect per 10,000
a
212 author per 10,000
280 dialect per 10,000
me
205 author per 10,000
41 dialect per 10,000
wis
199 author per 10,000
161 dialect per 10,000
it
148 author per 10,000
58 dialect per 10,000
in
122 author per 10,000
105 dialect per 10,000
but
109 author per 10,000
28 dialect per 10,000
ma
109 author per 10,000
0 dialect per 10,000
o'
103 author per 10,000
0 dialect per 10,000
jist
96 author per 10,000
0 dialect per 10,000
be
96 author per 10,000
55 dialect per 10,000
and
90 author per 10,000
15 dialect per 10,000
an'
83 author per 10,000
1 dialect per 10,000
a'
83 author per 10,000
0 dialect per 10,000
dae
83 author per 10,000
2 dialect per 10,000
when
83 author per 10,000
5 dialect per 10,000
were
77 author per 10,000
3 dialect per 10,000
ken
77 author per 10,000
14 dialect per 10,000
no'
71 author per 10,000
0 dialect per 10,000
aboot
71 author per 10,000
41 dialect per 10,000
hae
71 author per 10,000
25 dialect per 10,000
never
71 author per 10,000
7 dialect per 10,000
did
64 author per 10,000
9 dialect per 10,000
like
64 author per 10,000
2 dialect per 10,000
as
64 author per 10,000
79 dialect per 10,000
whit
64 author per 10,000
39 dialect per 10,000
mind
58 author per 10,000
10 dialect per 10,000
man
58 author per 10,000
17 dialect per 10,000
we
58 author per 10,000
43 dialect per 10,000
wi'
58 author per 10,000
0 dialect per 10,000
day
58 author per 10,000
18 dialect per 10,000
jessie
58 author per 10,000
1 dialect per 10,000
noo
58 author per 10,000
19 dialect per 10,000
there
51 author per 10,000
1 dialect per 10,000
too
51 author per 10,000
3 dialect per 10,000
at
51 author per 10,000
112 dialect per 10,000
for
51 author per 10,000
35 dialect per 10,000
wee
51 author per 10,000
0 dialect per 10,000
he
45 author per 10,000
103 dialect per 10,000
time
45 author per 10,000
21 dialect per 10,000
even
39 author per 10,000
10 dialect per 10,000
micht
39 author per 10,000
4 dialect per 10,000
see
39 author per 10,000
20 dialect per 10,000
this
39 author per 10,000
1 dialect per 10,000
auld
39 author per 10,000
1 dialect per 10,000
think
39 author per 10,000
1 dialect per 10,000
said
39 author per 10,000
61 dialect per 10,000
always
39 author per 10,000
1 dialect per 10,000
wish
32 author per 10,000
0 dialect per 10,000
his
32 author per 10,000
52 dialect per 10,000
yer
32 author per 10,000
0 dialect per 10,000
oor
32 author per 10,000
1 dialect per 10,000
him
32 author per 10,000
47 dialect per 10,000
here
32 author per 10,000
11 dialect per 10,000
on
32 author per 10,000
52 dialect per 10,000
could
32 author per 10,000
12 dialect per 10,000
thegither
32 author per 10,000
0 dialect per 10,000
used
32 author per 10,000
2 dialect per 10,000
ah've
32 author per 10,000
0 dialect per 10,000
would
32 author per 10,000
1 dialect per 10,000
oot
32 author per 10,000
42 dialect per 10,000
them
32 author per 10,000
1 dialect per 10,000
been
32 author per 10,000
16 dialect per 10,000
had
32 author per 10,000
2 dialect per 10,000
us
26 author per 10,000
0 dialect per 10,000
if
26 author per 10,000
25 dialect per 10,000
ither
26 author per 10,000
0 dialect per 10,000
didnae
26 author per 10,000
0 dialect per 10,000
afore
26 author per 10,000
15 dialect per 10,000
why
26 author per 10,000
2 dialect per 10,000
last
26 author per 10,000
6 dialect per 10,000
then
26 author per 10,000
1 dialect per 10,000
she
26 author per 10,000
7 dialect per 10,000
get
26 author per 10,000
6 dialect per 10,000
wan
26 author per 10,000
13 dialect per 10,000
guid
26 author per 10,000
12 dialect per 10,000
no
26 author per 10,000
35 dialect per 10,000
i
26 author per 10,000
143 dialect per 10,000
they
26 author per 10,000
2 dialect per 10,000
so
26 author per 10,000
26 dialect per 10,000
got
26 author per 10,000
8 dialect per 10,000
up
26 author per 10,000
42 dialect per 10,000
ah'm
26 author per 10,000
6 dialect per 10,000
by
26 author per 10,000
7 dialect per 10,000
it's
26 author per 10,000
8 dialect per 10,000
look
26 author per 10,000
6 dialect per 10,000
much
26 author per 10,000
2 dialect per 10,000
again
19 author per 10,000
5 dialect per 10,000
weans
19 author per 10,000
0 dialect per 10,000
must
19 author per 10,000
0 dialect per 10,000
wance
19 author per 10,000
2 dialect per 10,000
thinkin'
19 author per 10,000
0 dialect per 10,000
mornin'
19 author per 10,000
0 dialect per 10,000
talk
19 author per 10,000
0 dialect per 10,000
noo'
19 author per 10,000
0 dialect per 10,000
twa
19 author per 10,000
13 dialect per 10,000
dinnae
19 author per 10,000
0 dialect per 10,000
telt
19 author per 10,000
7 dialect per 10,000
maist
19 author per 10,000
4 dialect per 10,000
way
19 author per 10,000
0 dialect per 10,000
aye
19 author per 10,000
11 dialect per 10,000
left
19 author per 10,000
5 dialect per 10,000
folk
19 author per 10,000
1 dialect per 10,000
onybody
19 author per 10,000
1 dialect per 10,000
gettin'
19 author per 10,000
0 dialect per 10,000
that's
19 author per 10,000
0 dialect per 10,000
come
19 author per 10,000
19 dialect per 10,000
fine
19 author per 10,000
7 dialect per 10,000
wedding
19 author per 10,000
0 dialect per 10,000
many
19 author per 10,000
0 dialect per 10,000
sae
19 author per 10,000
8 dialect per 10,000
let
19 author per 10,000
1 dialect per 10,000
only
19 author per 10,000
5 dialect per 10,000
really
19 author per 10,000
2 dialect per 10,000
ah'd
19 author per 10,000
0 dialect per 10,000
have
19 author per 10,000
3 dialect per 10,000
weel
19 author per 10,000
18 dialect per 10,000
faur
19 author per 10,000
0 dialect per 10,000
remember
19 author per 10,000
0 dialect per 10,000
mair
19 author per 10,000
19 dialect per 10,000
first
19 author per 10,000
10 dialect per 10,000
mither
13 author per 10,000
0 dialect per 10,000
happy
13 author per 10,000
1 dialect per 10,000
ah'll
13 author per 10,000
2 dialect per 10,000
every
13 author per 10,000
5 dialect per 10,000
better
13 author per 10,000
7 dialect per 10,000
ony
13 author per 10,000
13 dialect per 10,000
things
13 author per 10,000
7 dialect per 10,000
should
13 author per 10,000
1 dialect per 10,000
sich
13 author per 10,000
0 dialect per 10,000
woman
13 author per 10,000
0 dialect per 10,000
hit
13 author per 10,000
44 dialect per 10,000
problem
13 author per 10,000
1 dialect per 10,000
say
13 author per 10,000
11 dialect per 10,000
back
13 author per 10,000
18 dialect per 10,000
week
13 author per 10,000
1 dialect per 10,000
een
13 author per 10,000
20 dialect per 10,000
richt
13 author per 10,000
13 dialect per 10,000
hear
13 author per 10,000
4 dialect per 10,000
disnae
13 author per 10,000
0 dialect per 10,000
toon
13 author per 10,000
3 dialect per 10,000
rain
13 author per 10,000
1 dialect per 10,000
mean
13 author per 10,000
2 dialect per 10,000
bother
13 author per 10,000
0 dialect per 10,000
made
13 author per 10,000
1 dialect per 10,000
than
13 author per 10,000
0 dialect per 10,000
voice
13 author per 10,000
4 dialect per 10,000
talked
13 author per 10,000
0 dialect per 10,000
getting
13 author per 10,000
0 dialect per 10,000
because
13 author per 10,000
0 dialect per 10,000
lads
13 author per 10,000
0 dialect per 10,000
roon
13 author per 10,000
0 dialect per 10,000
how
13 author per 10,000
1 dialect per 10,000
word
13 author per 10,000
1 dialect per 10,000
john
13 author per 10,000
6 dialect per 10,000
suit
13 author per 10,000
1 dialect per 10,000
bad
13 author per 10,000
1 dialect per 10,000
miss
13 author per 10,000
1 dialect per 10,000
bed
13 author per 10,000
3 dialect per 10,000
big
13 author per 10,000
3 dialect per 10,000
fur
13 author per 10,000
32 dialect per 10,000
days
13 author per 10,000
3 dialect per 10,000
onyway
13 author per 10,000
0 dialect per 10,000
faither
13 author per 10,000
0 dialect per 10,000
yours
13 author per 10,000
0 dialect per 10,000
boy
13 author per 10,000
5 dialect per 10,000
gie
13 author per 10,000
9 dialect per 10,000
happened
13 author per 10,000
2 dialect per 10,000
jimmy
13 author per 10,000
0 dialect per 10,000
aroon
13 author per 10,000
1 dialect per 10,000
married
13 author per 10,000
0 dialect per 10,000
tried
13 author per 10,000
3 dialect per 10,000
maybe
13 author per 10,000
4 dialect per 10,000
he's
13 author per 10,000
6 dialect per 10,000
years
13 author per 10,000
4 dialect per 10,000
can
13 author per 10,000
20 dialect per 10,000
sittin'
13 author per 10,000
0 dialect per 10,000
after
13 author per 10,000
0 dialect per 10,000
bothered
13 author per 10,000
0 dialect per 10,000
quite
13 author per 10,000
0 dialect per 10,000
suppose
13 author per 10,000
1 dialect per 10,000
bit
13 author per 10,000
38 dialect per 10,000
whether
13 author per 10,000
0 dialect per 10,000
promised
13 author per 10,000
1 dialect per 10,000
or
13 author per 10,000
32 dialect per 10,000
nicht
13 author per 10,000
3 dialect per 10,000
went
13 author per 10,000
0 dialect per 10,000
hope
13 author per 10,000
0 dialect per 10,000
don't
13 author per 10,000
1 dialect per 10,000
are
13 author per 10,000
2 dialect per 10,000
acts
6 author per 10,000
0 dialect per 10,000
treatin'
6 author per 10,000
0 dialect per 10,000
lassies
6 author per 10,000
0 dialect per 10,000
packed
6 author per 10,000
0 dialect per 10,000
shite
6 author per 10,000
0 dialect per 10,000
Orkney
ye
469 author per 10,000
17 dialect per 10,000
ah
462 author per 10,000
2 dialect per 10,000
tae
289 author per 10,000
222 dialect per 10,000
that
276 author per 10,000
75 dialect per 10,000
-
244 author per 10,000
78 dialect per 10,000
the
237 author per 10,000
581 dialect per 10,000
a
212 author per 10,000
296 dialect per 10,000
me
205 author per 10,000
111 dialect per 10,000
wis
199 author per 10,000
79 dialect per 10,000
it
148 author per 10,000
23 dialect per 10,000
in
122 author per 10,000
147 dialect per 10,000
but
109 author per 10,000
28 dialect per 10,000
ma
109 author per 10,000
1 dialect per 10,000
o'
103 author per 10,000
7 dialect per 10,000
jist
96 author per 10,000
3 dialect per 10,000
be
96 author per 10,000
42 dialect per 10,000
and
90 author per 10,000
191 dialect per 10,000
an'
83 author per 10,000
0 dialect per 10,000
a'
83 author per 10,000
0 dialect per 10,000
dae
83 author per 10,000
9 dialect per 10,000
when
83 author per 10,000
23 dialect per 10,000
were
77 author per 10,000
7 dialect per 10,000
ken
77 author per 10,000
15 dialect per 10,000
no'
71 author per 10,000
0 dialect per 10,000
aboot
71 author per 10,000
26 dialect per 10,000
hae
71 author per 10,000
12 dialect per 10,000
never
71 author per 10,000
3 dialect per 10,000
did
64 author per 10,000
8 dialect per 10,000
like
64 author per 10,000
31 dialect per 10,000
as
64 author per 10,000
48 dialect per 10,000
whit
64 author per 10,000
29 dialect per 10,000
mind
58 author per 10,000
10 dialect per 10,000
man
58 author per 10,000
12 dialect per 10,000
we
58 author per 10,000
30 dialect per 10,000
wi'
58 author per 10,000
0 dialect per 10,000
day
58 author per 10,000
21 dialect per 10,000
jessie
58 author per 10,000
0 dialect per 10,000
noo
58 author per 10,000
27 dialect per 10,000
there
51 author per 10,000
18 dialect per 10,000
too
51 author per 10,000
8 dialect per 10,000
at
51 author per 10,000
53 dialect per 10,000
for
51 author per 10,000
24 dialect per 10,000
wee
51 author per 10,000
1 dialect per 10,000
he
45 author per 10,000
88 dialect per 10,000
time
45 author per 10,000
18 dialect per 10,000
even
39 author per 10,000
6 dialect per 10,000
micht
39 author per 10,000
0 dialect per 10,000
see
39 author per 10,000
16 dialect per 10,000
this
39 author per 10,000
35 dialect per 10,000
auld
39 author per 10,000
1 dialect per 10,000
think
39 author per 10,000
9 dialect per 10,000
said
39 author per 10,000
15 dialect per 10,000
always
39 author per 10,000
1 dialect per 10,000
wish
32 author per 10,000
2 dialect per 10,000
his
32 author per 10,000
63 dialect per 10,000
yer
32 author per 10,000
7 dialect per 10,000
oor
32 author per 10,000
2 dialect per 10,000
him
32 author per 10,000
21 dialect per 10,000
here
32 author per 10,000
12 dialect per 10,000
on
32 author per 10,000
73 dialect per 10,000
could
32 author per 10,000
12 dialect per 10,000
thegither
32 author per 10,000
0 dialect per 10,000
used
32 author per 10,000
2 dialect per 10,000
ah've
32 author per 10,000
1 dialect per 10,000
would
32 author per 10,000
1 dialect per 10,000
oot
32 author per 10,000
51 dialect per 10,000
them
32 author per 10,000
17 dialect per 10,000
been
32 author per 10,000
18 dialect per 10,000
had
32 author per 10,000
2 dialect per 10,000
us
26 author per 10,000
6 dialect per 10,000
if
26 author per 10,000
15 dialect per 10,000
ither
26 author per 10,000
9 dialect per 10,000
didnae
26 author per 10,000
0 dialect per 10,000
afore
26 author per 10,000
13 dialect per 10,000
why
26 author per 10,000
4 dialect per 10,000
last
26 author per 10,000
8 dialect per 10,000
then
26 author per 10,000
18 dialect per 10,000
she
26 author per 10,000
8 dialect per 10,000
get
26 author per 10,000
10 dialect per 10,000
wan
26 author per 10,000
21 dialect per 10,000
guid
26 author per 10,000
2 dialect per 10,000
no
26 author per 10,000
59 dialect per 10,000
i
26 author per 10,000
156 dialect per 10,000
they
26 author per 10,000
35 dialect per 10,000
so
26 author per 10,000
29 dialect per 10,000
got
26 author per 10,000
12 dialect per 10,000
up
26 author per 10,000
33 dialect per 10,000
ah'm
26 author per 10,000
21 dialect per 10,000
by
26 author per 10,000
16 dialect per 10,000
it's
26 author per 10,000
4 dialect per 10,000
look
26 author per 10,000
1 dialect per 10,000
much
26 author per 10,000
6 dialect per 10,000
again
19 author per 10,000
12 dialect per 10,000
weans
19 author per 10,000
0 dialect per 10,000
must
19 author per 10,000
5 dialect per 10,000
wance
19 author per 10,000
3 dialect per 10,000
thinkin'
19 author per 10,000
0 dialect per 10,000
mornin'
19 author per 10,000
0 dialect per 10,000
talk
19 author per 10,000
0 dialect per 10,000
noo'
19 author per 10,000
0 dialect per 10,000
twa
19 author per 10,000
10 dialect per 10,000
dinnae
19 author per 10,000
0 dialect per 10,000
telt
19 author per 10,000
4 dialect per 10,000
maist
19 author per 10,000
1 dialect per 10,000
way
19 author per 10,000
1 dialect per 10,000
aye
19 author per 10,000
9 dialect per 10,000
left
19 author per 10,000
6 dialect per 10,000
folk
19 author per 10,000
9 dialect per 10,000
onybody
19 author per 10,000
0 dialect per 10,000
gettin'
19 author per 10,000
0 dialect per 10,000
that's
19 author per 10,000
9 dialect per 10,000
come
19 author per 10,000
10 dialect per 10,000
fine
19 author per 10,000
6 dialect per 10,000
wedding
19 author per 10,000
0 dialect per 10,000
many
19 author per 10,000
4 dialect per 10,000
sae
19 author per 10,000
1 dialect per 10,000
let
19 author per 10,000
3 dialect per 10,000
only
19 author per 10,000
7 dialect per 10,000
really
19 author per 10,000
4 dialect per 10,000
ah'd
19 author per 10,000
0 dialect per 10,000
have
19 author per 10,000
2 dialect per 10,000
weel
19 author per 10,000
18 dialect per 10,000
faur
19 author per 10,000
0 dialect per 10,000
remember
19 author per 10,000
0 dialect per 10,000
mair
19 author per 10,000
1 dialect per 10,000
first
19 author per 10,000
7 dialect per 10,000
mither
13 author per 10,000
4 dialect per 10,000
happy
13 author per 10,000
3 dialect per 10,000
ah'll
13 author per 10,000
6 dialect per 10,000
every
13 author per 10,000
4 dialect per 10,000
better
13 author per 10,000
6 dialect per 10,000
ony
13 author per 10,000
2 dialect per 10,000
things
13 author per 10,000
9 dialect per 10,000
should
13 author per 10,000
3 dialect per 10,000
sich
13 author per 10,000
0 dialect per 10,000
woman
13 author per 10,000
0 dialect per 10,000
hit
13 author per 10,000
1 dialect per 10,000
problem
13 author per 10,000
1 dialect per 10,000
say
13 author per 10,000
10 dialect per 10,000
back
13 author per 10,000
27 dialect per 10,000
week
13 author per 10,000
4 dialect per 10,000
een
13 author per 10,000
4 dialect per 10,000
richt
13 author per 10,000
0 dialect per 10,000
hear
13 author per 10,000
4 dialect per 10,000
disnae
13 author per 10,000
0 dialect per 10,000
toon
13 author per 10,000
4 dialect per 10,000
rain
13 author per 10,000
3 dialect per 10,000
mean
13 author per 10,000
2 dialect per 10,000
bother
13 author per 10,000
1 dialect per 10,000
made
13 author per 10,000
3 dialect per 10,000
than
13 author per 10,000
13 dialect per 10,000
voice
13 author per 10,000
1 dialect per 10,000
talked
13 author per 10,000
0 dialect per 10,000
getting
13 author per 10,000
0 dialect per 10,000
because
13 author per 10,000
1 dialect per 10,000
lads
13 author per 10,000
0 dialect per 10,000
roon
13 author per 10,000
2 dialect per 10,000
how
13 author per 10,000
1 dialect per 10,000
word
13 author per 10,000
2 dialect per 10,000
john
13 author per 10,000
1 dialect per 10,000
suit
13 author per 10,000
1 dialect per 10,000
bad
13 author per 10,000
3 dialect per 10,000
miss
13 author per 10,000
1 dialect per 10,000
bed
13 author per 10,000
7 dialect per 10,000
big
13 author per 10,000
8 dialect per 10,000
fur
13 author per 10,000
50 dialect per 10,000
days
13 author per 10,000
5 dialect per 10,000
onyway
13 author per 10,000
0 dialect per 10,000
faither
13 author per 10,000
2 dialect per 10,000
yours
13 author per 10,000
0 dialect per 10,000
boy
13 author per 10,000
4 dialect per 10,000
gie
13 author per 10,000
2 dialect per 10,000
happened
13 author per 10,000
1 dialect per 10,000
jimmy
13 author per 10,000
1 dialect per 10,000
aroon
13 author per 10,000
2 dialect per 10,000
married
13 author per 10,000
0 dialect per 10,000
tried
13 author per 10,000
2 dialect per 10,000
maybe
13 author per 10,000
0 dialect per 10,000
he's
13 author per 10,000
10 dialect per 10,000
years
13 author per 10,000
3 dialect per 10,000
can
13 author per 10,000
13 dialect per 10,000
sittin'
13 author per 10,000
0 dialect per 10,000
after
13 author per 10,000
0 dialect per 10,000
bothered
13 author per 10,000
0 dialect per 10,000
quite
13 author per 10,000
2 dialect per 10,000
suppose
13 author per 10,000
1 dialect per 10,000
bit
13 author per 10,000
48 dialect per 10,000
whether
13 author per 10,000
0 dialect per 10,000
promised
13 author per 10,000
0 dialect per 10,000
or
13 author per 10,000
30 dialect per 10,000
nicht
13 author per 10,000
0 dialect per 10,000
went
13 author per 10,000
1 dialect per 10,000
hope
13 author per 10,000
2 dialect per 10,000
don't
13 author per 10,000
5 dialect per 10,000
are
13 author per 10,000
14 dialect per 10,000
acts
6 author per 10,000
0 dialect per 10,000
treatin'
6 author per 10,000
0 dialect per 10,000
lassies
6 author per 10,000
0 dialect per 10,000
packed
6 author per 10,000
0 dialect per 10,000
shite
6 author per 10,000
0 dialect per 10,000
Southern
ye
469 author per 10,000
19 dialect per 10,000
ah
462 author per 10,000
81 dialect per 10,000
tae
289 author per 10,000
202 dialect per 10,000
that
276 author per 10,000
63 dialect per 10,000
-
244 author per 10,000
31 dialect per 10,000
the
237 author per 10,000
436 dialect per 10,000
a
212 author per 10,000
222 dialect per 10,000
me
205 author per 10,000
15 dialect per 10,000
wis
199 author per 10,000
58 dialect per 10,000
it
148 author per 10,000
58 dialect per 10,000
in
122 author per 10,000
106 dialect per 10,000
but
109 author per 10,000
38 dialect per 10,000
ma
109 author per 10,000
59 dialect per 10,000
o'
103 author per 10,000
7 dialect per 10,000
jist
96 author per 10,000
12 dialect per 10,000
be
96 author per 10,000
10 dialect per 10,000
and
90 author per 10,000
15 dialect per 10,000
an'
83 author per 10,000
1 dialect per 10,000
a'
83 author per 10,000
3 dialect per 10,000
dae
83 author per 10,000
15 dialect per 10,000
when
83 author per 10,000
14 dialect per 10,000
were
77 author per 10,000
17 dialect per 10,000
ken
77 author per 10,000
18 dialect per 10,000
no'
71 author per 10,000
0 dialect per 10,000
aboot
71 author per 10,000
31 dialect per 10,000
hae
71 author per 10,000
37 dialect per 10,000
never
71 author per 10,000
4 dialect per 10,000
did
64 author per 10,000
10 dialect per 10,000
like
64 author per 10,000
7 dialect per 10,000
as
64 author per 10,000
50 dialect per 10,000
whit
64 author per 10,000
33 dialect per 10,000
mind
58 author per 10,000
8 dialect per 10,000
man
58 author per 10,000
7 dialect per 10,000
we
58 author per 10,000
9 dialect per 10,000
wi'
58 author per 10,000
1 dialect per 10,000
day
58 author per 10,000
16 dialect per 10,000
jessie
58 author per 10,000
0 dialect per 10,000
noo
58 author per 10,000
11 dialect per 10,000
there
51 author per 10,000
16 dialect per 10,000
too
51 author per 10,000
0 dialect per 10,000
at
51 author per 10,000
74 dialect per 10,000
for
51 author per 10,000
22 dialect per 10,000
wee
51 author per 10,000
23 dialect per 10,000
he
45 author per 10,000
11 dialect per 10,000
time
45 author per 10,000
13 dialect per 10,000
even
39 author per 10,000
5 dialect per 10,000
micht
39 author per 10,000
9 dialect per 10,000
see
39 author per 10,000
4 dialect per 10,000
this
39 author per 10,000
34 dialect per 10,000
auld
39 author per 10,000
20 dialect per 10,000
think
39 author per 10,000
7 dialect per 10,000
said
39 author per 10,000
71 dialect per 10,000
always
39 author per 10,000
0 dialect per 10,000
wish
32 author per 10,000
3 dialect per 10,000
his
32 author per 10,000
37 dialect per 10,000
yer
32 author per 10,000
10 dialect per 10,000
oor
32 author per 10,000
11 dialect per 10,000
him
32 author per 10,000
12 dialect per 10,000
here
32 author per 10,000
14 dialect per 10,000
on
32 author per 10,000
56 dialect per 10,000
could
32 author per 10,000
12 dialect per 10,000
thegither
32 author per 10,000
2 dialect per 10,000
used
32 author per 10,000
0 dialect per 10,000
ah've
32 author per 10,000
5 dialect per 10,000
would
32 author per 10,000
12 dialect per 10,000
oot
32 author per 10,000
35 dialect per 10,000
them
32 author per 10,000
4 dialect per 10,000
been
32 author per 10,000
11 dialect per 10,000
had
32 author per 10,000
0 dialect per 10,000
us
26 author per 10,000
5 dialect per 10,000
if
26 author per 10,000
16 dialect per 10,000
ither
26 author per 10,000
13 dialect per 10,000
didnae
26 author per 10,000
5 dialect per 10,000
afore
26 author per 10,000
17 dialect per 10,000
why
26 author per 10,000
1 dialect per 10,000
last
26 author per 10,000
5 dialect per 10,000
then
26 author per 10,000
16 dialect per 10,000
she
26 author per 10,000
97 dialect per 10,000
get
26 author per 10,000
10 dialect per 10,000
wan
26 author per 10,000
0 dialect per 10,000
guid
26 author per 10,000
13 dialect per 10,000
no
26 author per 10,000
29 dialect per 10,000
i
26 author per 10,000
77 dialect per 10,000
they
26 author per 10,000
30 dialect per 10,000
so
26 author per 10,000
1 dialect per 10,000
got
26 author per 10,000
11 dialect per 10,000
up
26 author per 10,000
41 dialect per 10,000
ah'm
26 author per 10,000
10 dialect per 10,000
by
26 author per 10,000
3 dialect per 10,000
it's
26 author per 10,000
4 dialect per 10,000
look
26 author per 10,000
4 dialect per 10,000
much
26 author per 10,000
6 dialect per 10,000
again
19 author per 10,000
3 dialect per 10,000
weans
19 author per 10,000
0 dialect per 10,000
must
19 author per 10,000
5 dialect per 10,000
wance
19 author per 10,000
0 dialect per 10,000
thinkin'
19 author per 10,000
0 dialect per 10,000
mornin'
19 author per 10,000
0 dialect per 10,000
talk
19 author per 10,000
2 dialect per 10,000
noo'
19 author per 10,000
0 dialect per 10,000
twa
19 author per 10,000
3 dialect per 10,000
dinnae
19 author per 10,000
11 dialect per 10,000
telt
19 author per 10,000
6 dialect per 10,000
maist
19 author per 10,000
4 dialect per 10,000
way
19 author per 10,000
1 dialect per 10,000
aye
19 author per 10,000
11 dialect per 10,000
left
19 author per 10,000
5 dialect per 10,000
folk
19 author per 10,000
3 dialect per 10,000
onybody
19 author per 10,000
1 dialect per 10,000
gettin'
19 author per 10,000
0 dialect per 10,000
that's
19 author per 10,000
5 dialect per 10,000
come
19 author per 10,000
7 dialect per 10,000
fine
19 author per 10,000
1 dialect per 10,000
wedding
19 author per 10,000
0 dialect per 10,000
many
19 author per 10,000
0 dialect per 10,000
sae
19 author per 10,000
26 dialect per 10,000
let
19 author per 10,000
3 dialect per 10,000
only
19 author per 10,000
8 dialect per 10,000
really
19 author per 10,000
2 dialect per 10,000
ah'd
19 author per 10,000
3 dialect per 10,000
have
19 author per 10,000
0 dialect per 10,000
weel
19 author per 10,000
4 dialect per 10,000
faur
19 author per 10,000
2 dialect per 10,000
remember
19 author per 10,000
1 dialect per 10,000
mair
19 author per 10,000
16 dialect per 10,000
first
19 author per 10,000
1 dialect per 10,000
mither
13 author per 10,000
1 dialect per 10,000
happy
13 author per 10,000
0 dialect per 10,000
ah'll
13 author per 10,000
5 dialect per 10,000
every
13 author per 10,000
2 dialect per 10,000
better
13 author per 10,000
4 dialect per 10,000
ony
13 author per 10,000
7 dialect per 10,000
things
13 author per 10,000
2 dialect per 10,000
should
13 author per 10,000
4 dialect per 10,000
sich
13 author per 10,000
0 dialect per 10,000
woman
13 author per 10,000
0 dialect per 10,000
hit
13 author per 10,000
1 dialect per 10,000
problem
13 author per 10,000
1 dialect per 10,000
say
13 author per 10,000
18 dialect per 10,000
back
13 author per 10,000
19 dialect per 10,000
week
13 author per 10,000
1 dialect per 10,000
een
13 author per 10,000
2 dialect per 10,000
richt
13 author per 10,000
20 dialect per 10,000
hear
13 author per 10,000
5 dialect per 10,000
disnae
13 author per 10,000
3 dialect per 10,000
toon
13 author per 10,000
0 dialect per 10,000
rain
13 author per 10,000
2 dialect per 10,000
mean
13 author per 10,000
2 dialect per 10,000
bother
13 author per 10,000
1 dialect per 10,000
made
13 author per 10,000
7 dialect per 10,000
than
13 author per 10,000
9 dialect per 10,000
voice
13 author per 10,000
8 dialect per 10,000
talked
13 author per 10,000
0 dialect per 10,000
getting
13 author per 10,000
0 dialect per 10,000
because
13 author per 10,000
2 dialect per 10,000
lads
13 author per 10,000
0 dialect per 10,000
roon
13 author per 10,000
2 dialect per 10,000
how
13 author per 10,000
9 dialect per 10,000
word
13 author per 10,000
2 dialect per 10,000
john
13 author per 10,000
2 dialect per 10,000
suit
13 author per 10,000
1 dialect per 10,000
bad
13 author per 10,000
1 dialect per 10,000
miss
13 author per 10,000
1 dialect per 10,000
bed
13 author per 10,000
2 dialect per 10,000
big
13 author per 10,000
5 dialect per 10,000
fur
13 author per 10,000
43 dialect per 10,000
days
13 author per 10,000
7 dialect per 10,000
onyway
13 author per 10,000
0 dialect per 10,000
faither
13 author per 10,000
8 dialect per 10,000
yours
13 author per 10,000
0 dialect per 10,000
boy
13 author per 10,000
0 dialect per 10,000
gie
13 author per 10,000
13 dialect per 10,000
happened
13 author per 10,000
1 dialect per 10,000
jimmy
13 author per 10,000
1 dialect per 10,000
aroon
13 author per 10,000
0 dialect per 10,000
married
13 author per 10,000
0 dialect per 10,000
tried
13 author per 10,000
3 dialect per 10,000
maybe
13 author per 10,000
1 dialect per 10,000
he's
13 author per 10,000
0 dialect per 10,000
years
13 author per 10,000
3 dialect per 10,000
can
13 author per 10,000
10 dialect per 10,000
sittin'
13 author per 10,000
0 dialect per 10,000
after
13 author per 10,000
1 dialect per 10,000
bothered
13 author per 10,000
0 dialect per 10,000
quite
13 author per 10,000
3 dialect per 10,000
suppose
13 author per 10,000
2 dialect per 10,000
bit
13 author per 10,000
15 dialect per 10,000
whether
13 author per 10,000
1 dialect per 10,000
promised
13 author per 10,000
0 dialect per 10,000
or
13 author per 10,000
22 dialect per 10,000
nicht
13 author per 10,000
7 dialect per 10,000
went
13 author per 10,000
14 dialect per 10,000
hope
13 author per 10,000
3 dialect per 10,000
don't
13 author per 10,000
0 dialect per 10,000
are
13 author per 10,000
9 dialect per 10,000
acts
6 author per 10,000
0 dialect per 10,000
treatin'
6 author per 10,000
0 dialect per 10,000
lassies
6 author per 10,000
1 dialect per 10,000
packed
6 author per 10,000
0 dialect per 10,000
shite
6 author per 10,000
0 dialect per 10,000
Ulster
ye
469 author per 10,000
79 dialect per 10,000
ah
462 author per 10,000
13 dialect per 10,000
tae
289 author per 10,000
259 dialect per 10,000
that
276 author per 10,000
72 dialect per 10,000
-
244 author per 10,000
27 dialect per 10,000
the
237 author per 10,000
296 dialect per 10,000
a
212 author per 10,000
284 dialect per 10,000
me
205 author per 10,000
24 dialect per 10,000
wis
199 author per 10,000
1 dialect per 10,000
it
148 author per 10,000
71 dialect per 10,000
in
122 author per 10,000
120 dialect per 10,000
but
109 author per 10,000
42 dialect per 10,000
ma
109 author per 10,000
21 dialect per 10,000
o'
103 author per 10,000
63 dialect per 10,000
jist
96 author per 10,000
9 dialect per 10,000
be
96 author per 10,000
40 dialect per 10,000
and
90 author per 10,000
10 dialect per 10,000
an'
83 author per 10,000
64 dialect per 10,000
a'
83 author per 10,000
2 dialect per 10,000
dae
83 author per 10,000
24 dialect per 10,000
when
83 author per 10,000
2 dialect per 10,000
were
77 author per 10,000
5 dialect per 10,000
ken
77 author per 10,000
4 dialect per 10,000
no'
71 author per 10,000
0 dialect per 10,000
aboot
71 author per 10,000
27 dialect per 10,000
hae
71 author per 10,000
55 dialect per 10,000
never
71 author per 10,000
1 dialect per 10,000
did
64 author per 10,000
4 dialect per 10,000
like
64 author per 10,000
9 dialect per 10,000
as
64 author per 10,000
29 dialect per 10,000
whit
64 author per 10,000
2 dialect per 10,000
mind
58 author per 10,000
3 dialect per 10,000
man
58 author per 10,000
17 dialect per 10,000
we
58 author per 10,000
18 dialect per 10,000
wi'
58 author per 10,000
16 dialect per 10,000
day
58 author per 10,000
15 dialect per 10,000
jessie
58 author per 10,000
0 dialect per 10,000
noo
58 author per 10,000
23 dialect per 10,000
there
51 author per 10,000
6 dialect per 10,000
too
51 author per 10,000
1 dialect per 10,000
at
51 author per 10,000
58 dialect per 10,000
for
51 author per 10,000
33 dialect per 10,000
wee
51 author per 10,000
26 dialect per 10,000
he
45 author per 10,000
63 dialect per 10,000
time
45 author per 10,000
13 dialect per 10,000
even
39 author per 10,000
4 dialect per 10,000
micht
39 author per 10,000
6 dialect per 10,000
see
39 author per 10,000
16 dialect per 10,000
this
39 author per 10,000
28 dialect per 10,000
auld
39 author per 10,000
1 dialect per 10,000
think
39 author per 10,000
7 dialect per 10,000
said
39 author per 10,000
29 dialect per 10,000
always
39 author per 10,000
0 dialect per 10,000
wish
32 author per 10,000
1 dialect per 10,000
his
32 author per 10,000
19 dialect per 10,000
yer
32 author per 10,000
38 dialect per 10,000
oor
32 author per 10,000
16 dialect per 10,000
him
32 author per 10,000
9 dialect per 10,000
here
32 author per 10,000
10 dialect per 10,000
on
32 author per 10,000
54 dialect per 10,000
could
32 author per 10,000
1 dialect per 10,000
thegither
32 author per 10,000
4 dialect per 10,000
used
32 author per 10,000
0 dialect per 10,000
ah've
32 author per 10,000
0 dialect per 10,000
would
32 author per 10,000
1 dialect per 10,000
oot
32 author per 10,000
51 dialect per 10,000
them
32 author per 10,000
7 dialect per 10,000
been
32 author per 10,000
2 dialect per 10,000
had
32 author per 10,000
15 dialect per 10,000
us
26 author per 10,000
4 dialect per 10,000
if
26 author per 10,000
13 dialect per 10,000
ither
26 author per 10,000
16 dialect per 10,000
didnae
26 author per 10,000
5 dialect per 10,000
afore
26 author per 10,000
12 dialect per 10,000
why
26 author per 10,000
4 dialect per 10,000
last
26 author per 10,000
4 dialect per 10,000
then
26 author per 10,000
17 dialect per 10,000
she
26 author per 10,000
13 dialect per 10,000
get
26 author per 10,000
8 dialect per 10,000
wan
26 author per 10,000
0 dialect per 10,000
guid
26 author per 10,000
18 dialect per 10,000
no
26 author per 10,000
22 dialect per 10,000
i
26 author per 10,000
10 dialect per 10,000
they
26 author per 10,000
26 dialect per 10,000
so
26 author per 10,000
5 dialect per 10,000
got
26 author per 10,000
9 dialect per 10,000
up
26 author per 10,000
31 dialect per 10,000
ah'm
26 author per 10,000
1 dialect per 10,000
by
26 author per 10,000
8 dialect per 10,000
it's
26 author per 10,000
13 dialect per 10,000
look
26 author per 10,000
1 dialect per 10,000
much
26 author per 10,000
3 dialect per 10,000
again
19 author per 10,000
2 dialect per 10,000
weans
19 author per 10,000
7 dialect per 10,000
must
19 author per 10,000
2 dialect per 10,000
wance
19 author per 10,000
0 dialect per 10,000
thinkin'
19 author per 10,000
0 dialect per 10,000
mornin'
19 author per 10,000
0 dialect per 10,000
talk
19 author per 10,000
0 dialect per 10,000
noo'
19 author per 10,000
0 dialect per 10,000
twa
19 author per 10,000
12 dialect per 10,000
dinnae
19 author per 10,000
11 dialect per 10,000
telt
19 author per 10,000
1 dialect per 10,000
maist
19 author per 10,000
7 dialect per 10,000
way
19 author per 10,000
1 dialect per 10,000
aye
19 author per 10,000
12 dialect per 10,000
left
19 author per 10,000
4 dialect per 10,000
folk
19 author per 10,000
5 dialect per 10,000
onybody
19 author per 10,000
0 dialect per 10,000
gettin'
19 author per 10,000
0 dialect per 10,000
that's
19 author per 10,000
8 dialect per 10,000
come
19 author per 10,000
9 dialect per 10,000
fine
19 author per 10,000
1 dialect per 10,000
wedding
19 author per 10,000
0 dialect per 10,000
many
19 author per 10,000
0 dialect per 10,000
sae
19 author per 10,000
26 dialect per 10,000
let
19 author per 10,000
6 dialect per 10,000
only
19 author per 10,000
3 dialect per 10,000
really
19 author per 10,000
1 dialect per 10,000
ah'd
19 author per 10,000
0 dialect per 10,000
have
19 author per 10,000
0 dialect per 10,000
weel
19 author per 10,000
13 dialect per 10,000
faur
19 author per 10,000
1 dialect per 10,000
remember
19 author per 10,000
0 dialect per 10,000
mair
19 author per 10,000
30 dialect per 10,000
first
19 author per 10,000
1 dialect per 10,000
mither
13 author per 10,000
4 dialect per 10,000
happy
13 author per 10,000
1 dialect per 10,000
ah'll
13 author per 10,000
1 dialect per 10,000
every
13 author per 10,000
0 dialect per 10,000
better
13 author per 10,000
2 dialect per 10,000
ony
13 author per 10,000
1 dialect per 10,000
things
13 author per 10,000
4 dialect per 10,000
should
13 author per 10,000
0 dialect per 10,000
sich
13 author per 10,000
2 dialect per 10,000
woman
13 author per 10,000
0 dialect per 10,000
hit
13 author per 10,000
9 dialect per 10,000
problem
13 author per 10,000
0 dialect per 10,000
say
13 author per 10,000
10 dialect per 10,000
back
13 author per 10,000
3 dialect per 10,000
week
13 author per 10,000
1 dialect per 10,000
een
13 author per 10,000
6 dialect per 10,000
richt
13 author per 10,000
14 dialect per 10,000
hear
13 author per 10,000
5 dialect per 10,000
disnae
13 author per 10,000
3 dialect per 10,000
toon
13 author per 10,000
5 dialect per 10,000
rain
13 author per 10,000
1 dialect per 10,000
mean
13 author per 10,000
1 dialect per 10,000
bother
13 author per 10,000
2 dialect per 10,000
made
13 author per 10,000
6 dialect per 10,000
than
13 author per 10,000
3 dialect per 10,000
voice
13 author per 10,000
4 dialect per 10,000
talked
13 author per 10,000
0 dialect per 10,000
getting
13 author per 10,000
1 dialect per 10,000
because
13 author per 10,000
0 dialect per 10,000
lads
13 author per 10,000
1 dialect per 10,000
roon
13 author per 10,000
11 dialect per 10,000
how
13 author per 10,000
0 dialect per 10,000
word
13 author per 10,000
0 dialect per 10,000
john
13 author per 10,000
3 dialect per 10,000
suit
13 author per 10,000
0 dialect per 10,000
bad
13 author per 10,000
3 dialect per 10,000
miss
13 author per 10,000
1 dialect per 10,000
bed
13 author per 10,000
2 dialect per 10,000
big
13 author per 10,000
8 dialect per 10,000
fur
13 author per 10,000
45 dialect per 10,000
days
13 author per 10,000
5 dialect per 10,000
onyway
13 author per 10,000
0 dialect per 10,000
faither
13 author per 10,000
8 dialect per 10,000
yours
13 author per 10,000
0 dialect per 10,000
boy
13 author per 10,000
1 dialect per 10,000
gie
13 author per 10,000
17 dialect per 10,000
happened
13 author per 10,000
0 dialect per 10,000
jimmy
13 author per 10,000
0 dialect per 10,000
aroon
13 author per 10,000
3 dialect per 10,000
married
13 author per 10,000
0 dialect per 10,000
tried
13 author per 10,000
1 dialect per 10,000
maybe
13 author per 10,000
1 dialect per 10,000
he's
13 author per 10,000
3 dialect per 10,000
years
13 author per 10,000
2 dialect per 10,000
can
13 author per 10,000
14 dialect per 10,000
sittin'
13 author per 10,000
0 dialect per 10,000
after
13 author per 10,000
0 dialect per 10,000
bothered
13 author per 10,000
0 dialect per 10,000
quite
13 author per 10,000
1 dialect per 10,000
suppose
13 author per 10,000
1 dialect per 10,000
bit
13 author per 10,000
10 dialect per 10,000
whether
13 author per 10,000
0 dialect per 10,000
promised
13 author per 10,000
0 dialect per 10,000
or
13 author per 10,000
36 dialect per 10,000
nicht
13 author per 10,000
6 dialect per 10,000
went
13 author per 10,000
12 dialect per 10,000
hope
13 author per 10,000
1 dialect per 10,000
don't
13 author per 10,000
0 dialect per 10,000
are
13 author per 10,000
4 dialect per 10,000
acts
6 author per 10,000
0 dialect per 10,000
treatin'
6 author per 10,000
0 dialect per 10,000
lassies
6 author per 10,000
0 dialect per 10,000
packed
6 author per 10,000
0 dialect per 10,000
shite
6 author per 10,000
0 dialect per 10,000