Central
a
512 author per 10,000
266 dialect per 10,000
the
442 author per 10,000
565 dialect per 10,000
tae
302 author per 10,000
211 dialect per 10,000
ir
209 author per 10,000
3 dialect per 10,000
tha
209 author per 10,000
0 dialect per 10,000
i
163 author per 10,000
40 dialect per 10,000
an
163 author per 10,000
224 dialect per 10,000
o
163 author per 10,000
183 dialect per 10,000
in
140 author per 10,000
147 dialect per 10,000
oul
116 author per 10,000
0 dialect per 10,000
but
116 author per 10,000
48 dialect per 10,000
it
116 author per 10,000
115 dialect per 10,000
we
93 author per 10,000
33 dialect per 10,000
€™
93 author per 10,000
38 dialect per 10,000
is
93 author per 10,000
58 dialect per 10,000
ye
93 author per 10,000
62 dialect per 10,000
dance
93 author per 10,000
1 dialect per 10,000
noo
93 author per 10,000
14 dialect per 10,000
some
93 author per 10,000
13 dialect per 10,000
this
70 author per 10,000
41 dialect per 10,000
€™s
70 author per 10,000
32 dialect per 10,000
they
70 author per 10,000
41 dialect per 10,000
mae
70 author per 10,000
0 dialect per 10,000
think
70 author per 10,000
9 dialect per 10,000
oot
70 author per 10,000
40 dialect per 10,000
young
70 author per 10,000
3 dialect per 10,000
am
70 author per 10,000
3 dialect per 10,000
wid
70 author per 10,000
8 dialect per 10,000
frae
70 author per 10,000
16 dialect per 10,000
my
70 author per 10,000
6 dialect per 10,000
nae
70 author per 10,000
24 dialect per 10,000
yins
70 author per 10,000
1 dialect per 10,000
noo-a-deys
47 author per 10,000
0 dialect per 10,000
canny
47 author per 10,000
1 dialect per 10,000
roon
47 author per 10,000
4 dialect per 10,000
sae
47 author per 10,000
16 dialect per 10,000
say
47 author per 10,000
10 dialect per 10,000
hame
47 author per 10,000
6 dialect per 10,000
aa
47 author per 10,000
14 dialect per 10,000
floor
47 author per 10,000
0 dialect per 10,000
naw
47 author per 10,000
3 dialect per 10,000
robinson
47 author per 10,000
0 dialect per 10,000
for
47 author per 10,000
47 dialect per 10,000
that
47 author per 10,000
106 dialect per 10,000
age
47 author per 10,000
1 dialect per 10,000
sandy
47 author per 10,000
0 dialect per 10,000
side
47 author per 10,000
4 dialect per 10,000
thauts
47 author per 10,000
0 dialect per 10,000
wae
47 author per 10,000
9 dialect per 10,000
thaur
47 author per 10,000
0 dialect per 10,000
them
47 author per 10,000
17 dialect per 10,000
mi
47 author per 10,000
0 dialect per 10,000
had
47 author per 10,000
22 dialect per 10,000
feet
47 author per 10,000
3 dialect per 10,000
at
47 author per 10,000
59 dialect per 10,000
see
47 author per 10,000
17 dialect per 10,000
bae
47 author per 10,000
0 dialect per 10,000
kno
47 author per 10,000
0 dialect per 10,000
far
47 author per 10,000
2 dialect per 10,000
lang
47 author per 10,000
10 dialect per 10,000
get
47 author per 10,000
14 dialect per 10,000
three
47 author per 10,000
5 dialect per 10,000
leevin
47 author per 10,000
0 dialect per 10,000
caa
47 author per 10,000
0 dialect per 10,000
as
47 author per 10,000
59 dialect per 10,000
hear
47 author per 10,000
4 dialect per 10,000
sweet
23 author per 10,000
1 dialect per 10,000
glenarm
23 author per 10,000
0 dialect per 10,000
mony
23 author per 10,000
4 dialect per 10,000
like
23 author per 10,000
29 dialect per 10,000
ago
23 author per 10,000
1 dialect per 10,000
larne
23 author per 10,000
0 dialect per 10,000
october
23 author per 10,000
0 dialect per 10,000
want
23 author per 10,000
6 dialect per 10,000
hired
23 author per 10,000
0 dialect per 10,000
matt
23 author per 10,000
0 dialect per 10,000
message
23 author per 10,000
0 dialect per 10,000
places
23 author per 10,000
1 dialect per 10,000
meharg
23 author per 10,000
0 dialect per 10,000
bl
23 author per 10,000
0 dialect per 10,000
before
23 author per 10,000
2 dialect per 10,000
peak
23 author per 10,000
0 dialect per 10,000
ether
23 author per 10,000
0 dialect per 10,000
met
23 author per 10,000
1 dialect per 10,000
wife
23 author per 10,000
2 dialect per 10,000
twa
23 author per 10,000
10 dialect per 10,000
went
23 author per 10,000
7 dialect per 10,000
week
23 author per 10,000
2 dialect per 10,000
wus
23 author per 10,000
0 dialect per 10,000
when
23 author per 10,000
18 dialect per 10,000
waaked
23 author per 10,000
0 dialect per 10,000
happy
23 author per 10,000
1 dialect per 10,000
€™easton
23 author per 10,000
0 dialect per 10,000
bike
23 author per 10,000
0 dialect per 10,000
was
23 author per 10,000
7 dialect per 10,000
rid
23 author per 10,000
1 dialect per 10,000
so
23 author per 10,000
10 dialect per 10,000
tildarg
23 author per 10,000
0 dialect per 10,000
tappin
23 author per 10,000
0 dialect per 10,000
know
23 author per 10,000
4 dialect per 10,000
rage
23 author per 10,000
0 dialect per 10,000
€™re
23 author per 10,000
3 dialect per 10,000
cute
23 author per 10,000
0 dialect per 10,000
withoot
23 author per 10,000
1 dialect per 10,000
disco
23 author per 10,000
0 dialect per 10,000
date
23 author per 10,000
0 dialect per 10,000
gone
23 author per 10,000
1 dialect per 10,000
live
23 author per 10,000
1 dialect per 10,000
different
23 author per 10,000
2 dialect per 10,000
country
23 author per 10,000
1 dialect per 10,000
gane
23 author per 10,000
1 dialect per 10,000
on
23 author per 10,000
54 dialect per 10,000
best
23 author per 10,000
4 dialect per 10,000
same
23 author per 10,000
6 dialect per 10,000
fir
23 author per 10,000
9 dialect per 10,000
keep
23 author per 10,000
5 dialect per 10,000
ullans
23 author per 10,000
0 dialect per 10,000
very
23 author per 10,000
1 dialect per 10,000
years
23 author per 10,000
4 dialect per 10,000
tv
23 author per 10,000
0 dialect per 10,000
wha
23 author per 10,000
8 dialect per 10,000
knows
23 author per 10,000
1 dialect per 10,000
fifty
23 author per 10,000
1 dialect per 10,000
past
23 author per 10,000
3 dialect per 10,000
partner
23 author per 10,000
0 dialect per 10,000
lancers
23 author per 10,000
0 dialect per 10,000
done
23 author per 10,000
3 dialect per 10,000
setts
23 author per 10,000
0 dialect per 10,000
polka
23 author per 10,000
0 dialect per 10,000
reels
23 author per 10,000
0 dialect per 10,000
more
23 author per 10,000
1 dialect per 10,000
wanted
23 author per 10,000
1 dialect per 10,000
dancin
23 author per 10,000
1 dialect per 10,000
odds
23 author per 10,000
0 dialect per 10,000
last
23 author per 10,000
6 dialect per 10,000
alwyes
23 author per 10,000
0 dialect per 10,000
€˜twas
23 author per 10,000
0 dialect per 10,000
great
23 author per 10,000
3 dialect per 10,000
while
23 author per 10,000
5 dialect per 10,000
came
23 author per 10,000
3 dialect per 10,000
ithers
23 author per 10,000
2 dialect per 10,000
chance
23 author per 10,000
2 dialect per 10,000
their
23 author per 10,000
19 dialect per 10,000
glide
23 author per 10,000
0 dialect per 10,000
watch
23 author per 10,000
2 dialect per 10,000
poocher
23 author per 10,000
0 dialect per 10,000
rattlin
23 author per 10,000
0 dialect per 10,000
soons
23 author per 10,000
0 dialect per 10,000
heels
23 author per 10,000
0 dialect per 10,000
nicht
23 author per 10,000
6 dialect per 10,000
stan
23 author per 10,000
0 dialect per 10,000
diinne
23 author per 10,000
0 dialect per 10,000
why
23 author per 10,000
2 dialect per 10,000
onywye
23 author per 10,000
0 dialect per 10,000
ouler
23 author per 10,000
0 dialect per 10,000
folk
23 author per 10,000
5 dialect per 10,000
unnerstaun
23 author per 10,000
1 dialect per 10,000
kan
23 author per 10,000
0 dialect per 10,000
hes
23 author per 10,000
2 dialect per 10,000
ninety
23 author per 10,000
0 dialect per 10,000
third
23 author per 10,000
1 dialect per 10,000
year
23 author per 10,000
7 dialect per 10,000
geen
23 author per 10,000
0 dialect per 10,000
richtfa
23 author per 10,000
0 dialect per 10,000
whiles
23 author per 10,000
2 dialect per 10,000
mair
23 author per 10,000
20 dialect per 10,000
road
23 author per 10,000
4 dialect per 10,000
nir
23 author per 10,000
0 dialect per 10,000
fore
23 author per 10,000
0 dialect per 10,000
seems
23 author per 10,000
2 dialect per 10,000
place
23 author per 10,000
5 dialect per 10,000
hell
23 author per 10,000
1 dialect per 10,000
leather
23 author per 10,000
0 dialect per 10,000
wye
23 author per 10,000
0 dialect per 10,000
still
23 author per 10,000
8 dialect per 10,000
feyther
23 author per 10,000
0 dialect per 10,000
hae
23 author per 10,000
22 dialect per 10,000
made
23 author per 10,000
7 dialect per 10,000
through
23 author per 10,000
6 dialect per 10,000
score
23 author per 10,000
0 dialect per 10,000
aye
23 author per 10,000
16 dialect per 10,000
dey
23 author per 10,000
0 dialect per 10,000
what
23 author per 10,000
4 dialect per 10,000
big
23 author per 10,000
8 dialect per 10,000
birthday
23 author per 10,000
0 dialect per 10,000
ither
23 author per 10,000
11 dialect per 10,000
ten
23 author per 10,000
2 dialect per 10,000
merker
23 author per 10,000
0 dialect per 10,000
than
23 author per 10,000
10 dialect per 10,000
ustae
23 author per 10,000
0 dialect per 10,000
be
23 author per 10,000
48 dialect per 10,000
bit
23 author per 10,000
17 dialect per 10,000
step
23 author per 10,000
1 dialect per 10,000
slower
23 author per 10,000
0 dialect per 10,000
dae
23 author per 10,000
17 dialect per 10,000
ower
23 author per 10,000
19 dialect per 10,000
richtly
23 author per 10,000
0 dialect per 10,000
gettin
23 author per 10,000
4 dialect per 10,000
onythin
23 author per 10,000
2 dialect per 10,000
else
23 author per 10,000
3 dialect per 10,000
Doric
a
512 author per 10,000
315 dialect per 10,000
the
442 author per 10,000
451 dialect per 10,000
tae
302 author per 10,000
172 dialect per 10,000
ir
209 author per 10,000
2 dialect per 10,000
tha
209 author per 10,000
0 dialect per 10,000
i
163 author per 10,000
68 dialect per 10,000
an
163 author per 10,000
303 dialect per 10,000
o
163 author per 10,000
175 dialect per 10,000
in
140 author per 10,000
131 dialect per 10,000
oul
116 author per 10,000
0 dialect per 10,000
but
116 author per 10,000
25 dialect per 10,000
it
116 author per 10,000
99 dialect per 10,000
we
93 author per 10,000
33 dialect per 10,000
€™
93 author per 10,000
10 dialect per 10,000
is
93 author per 10,000
39 dialect per 10,000
ye
93 author per 10,000
94 dialect per 10,000
dance
93 author per 10,000
1 dialect per 10,000
noo
93 author per 10,000
24 dialect per 10,000
some
93 author per 10,000
13 dialect per 10,000
this
70 author per 10,000
19 dialect per 10,000
€™s
70 author per 10,000
21 dialect per 10,000
they
70 author per 10,000
36 dialect per 10,000
mae
70 author per 10,000
0 dialect per 10,000
think
70 author per 10,000
11 dialect per 10,000
oot
70 author per 10,000
50 dialect per 10,000
young
70 author per 10,000
3 dialect per 10,000
am
70 author per 10,000
4 dialect per 10,000
wid
70 author per 10,000
18 dialect per 10,000
frae
70 author per 10,000
10 dialect per 10,000
my
70 author per 10,000
12 dialect per 10,000
nae
70 author per 10,000
51 dialect per 10,000
yins
70 author per 10,000
0 dialect per 10,000
noo-a-deys
47 author per 10,000
0 dialect per 10,000
canny
47 author per 10,000
1 dialect per 10,000
roon
47 author per 10,000
11 dialect per 10,000
sae
47 author per 10,000
14 dialect per 10,000
say
47 author per 10,000
14 dialect per 10,000
hame
47 author per 10,000
11 dialect per 10,000
aa
47 author per 10,000
43 dialect per 10,000
floor
47 author per 10,000
0 dialect per 10,000
naw
47 author per 10,000
1 dialect per 10,000
robinson
47 author per 10,000
0 dialect per 10,000
for
47 author per 10,000
46 dialect per 10,000
that
47 author per 10,000
53 dialect per 10,000
age
47 author per 10,000
1 dialect per 10,000
sandy
47 author per 10,000
2 dialect per 10,000
side
47 author per 10,000
5 dialect per 10,000
thauts
47 author per 10,000
0 dialect per 10,000
wae
47 author per 10,000
1 dialect per 10,000
thaur
47 author per 10,000
0 dialect per 10,000
them
47 author per 10,000
23 dialect per 10,000
mi
47 author per 10,000
2 dialect per 10,000
had
47 author per 10,000
4 dialect per 10,000
feet
47 author per 10,000
4 dialect per 10,000
at
47 author per 10,000
67 dialect per 10,000
see
47 author per 10,000
21 dialect per 10,000
bae
47 author per 10,000
0 dialect per 10,000
kno
47 author per 10,000
0 dialect per 10,000
far
47 author per 10,000
14 dialect per 10,000
lang
47 author per 10,000
13 dialect per 10,000
get
47 author per 10,000
16 dialect per 10,000
three
47 author per 10,000
6 dialect per 10,000
leevin
47 author per 10,000
0 dialect per 10,000
caa
47 author per 10,000
1 dialect per 10,000
as
47 author per 10,000
52 dialect per 10,000
hear
47 author per 10,000
4 dialect per 10,000
sweet
23 author per 10,000
1 dialect per 10,000
glenarm
23 author per 10,000
0 dialect per 10,000
mony
23 author per 10,000
4 dialect per 10,000
like
23 author per 10,000
37 dialect per 10,000
ago
23 author per 10,000
1 dialect per 10,000
larne
23 author per 10,000
0 dialect per 10,000
october
23 author per 10,000
0 dialect per 10,000
want
23 author per 10,000
2 dialect per 10,000
hired
23 author per 10,000
0 dialect per 10,000
matt
23 author per 10,000
0 dialect per 10,000
message
23 author per 10,000
1 dialect per 10,000
places
23 author per 10,000
1 dialect per 10,000
meharg
23 author per 10,000
0 dialect per 10,000
bl
23 author per 10,000
0 dialect per 10,000
before
23 author per 10,000
0 dialect per 10,000
peak
23 author per 10,000
0 dialect per 10,000
ether
23 author per 10,000
0 dialect per 10,000
met
23 author per 10,000
1 dialect per 10,000
wife
23 author per 10,000
3 dialect per 10,000
twa
23 author per 10,000
18 dialect per 10,000
went
23 author per 10,000
4 dialect per 10,000
week
23 author per 10,000
1 dialect per 10,000
wus
23 author per 10,000
0 dialect per 10,000
when
23 author per 10,000
3 dialect per 10,000
waaked
23 author per 10,000
0 dialect per 10,000
happy
23 author per 10,000
2 dialect per 10,000
€™easton
23 author per 10,000
0 dialect per 10,000
bike
23 author per 10,000
1 dialect per 10,000
was
23 author per 10,000
10 dialect per 10,000
rid
23 author per 10,000
0 dialect per 10,000
so
23 author per 10,000
18 dialect per 10,000
tildarg
23 author per 10,000
0 dialect per 10,000
tappin
23 author per 10,000
0 dialect per 10,000
know
23 author per 10,000
0 dialect per 10,000
rage
23 author per 10,000
0 dialect per 10,000
€™re
23 author per 10,000
1 dialect per 10,000
cute
23 author per 10,000
0 dialect per 10,000
withoot
23 author per 10,000
2 dialect per 10,000
disco
23 author per 10,000
0 dialect per 10,000
date
23 author per 10,000
1 dialect per 10,000
gone
23 author per 10,000
1 dialect per 10,000
live
23 author per 10,000
1 dialect per 10,000
different
23 author per 10,000
1 dialect per 10,000
country
23 author per 10,000
1 dialect per 10,000
gane
23 author per 10,000
0 dialect per 10,000
on
23 author per 10,000
68 dialect per 10,000
best
23 author per 10,000
5 dialect per 10,000
same
23 author per 10,000
5 dialect per 10,000
fir
23 author per 10,000
14 dialect per 10,000
keep
23 author per 10,000
4 dialect per 10,000
ullans
23 author per 10,000
0 dialect per 10,000
very
23 author per 10,000
1 dialect per 10,000
years
23 author per 10,000
3 dialect per 10,000
tv
23 author per 10,000
1 dialect per 10,000
wha
23 author per 10,000
1 dialect per 10,000
knows
23 author per 10,000
0 dialect per 10,000
fifty
23 author per 10,000
1 dialect per 10,000
past
23 author per 10,000
2 dialect per 10,000
partner
23 author per 10,000
0 dialect per 10,000
lancers
23 author per 10,000
0 dialect per 10,000
done
23 author per 10,000
1 dialect per 10,000
setts
23 author per 10,000
0 dialect per 10,000
polka
23 author per 10,000
0 dialect per 10,000
reels
23 author per 10,000
0 dialect per 10,000
more
23 author per 10,000
1 dialect per 10,000
wanted
23 author per 10,000
1 dialect per 10,000
dancin
23 author per 10,000
0 dialect per 10,000
odds
23 author per 10,000
0 dialect per 10,000
last
23 author per 10,000
5 dialect per 10,000
alwyes
23 author per 10,000
0 dialect per 10,000
€˜twas
23 author per 10,000
0 dialect per 10,000
great
23 author per 10,000
5 dialect per 10,000
while
23 author per 10,000
2 dialect per 10,000
came
23 author per 10,000
4 dialect per 10,000
ithers
23 author per 10,000
1 dialect per 10,000
chance
23 author per 10,000
1 dialect per 10,000
their
23 author per 10,000
19 dialect per 10,000
glide
23 author per 10,000
0 dialect per 10,000
watch
23 author per 10,000
2 dialect per 10,000
poocher
23 author per 10,000
0 dialect per 10,000
rattlin
23 author per 10,000
0 dialect per 10,000
soons
23 author per 10,000
0 dialect per 10,000
heels
23 author per 10,000
0 dialect per 10,000
nicht
23 author per 10,000
12 dialect per 10,000
stan
23 author per 10,000
1 dialect per 10,000
diinne
23 author per 10,000
0 dialect per 10,000
why
23 author per 10,000
1 dialect per 10,000
onywye
23 author per 10,000
2 dialect per 10,000
ouler
23 author per 10,000
0 dialect per 10,000
folk
23 author per 10,000
4 dialect per 10,000
unnerstaun
23 author per 10,000
0 dialect per 10,000
kan
23 author per 10,000
0 dialect per 10,000
hes
23 author per 10,000
1 dialect per 10,000
ninety
23 author per 10,000
0 dialect per 10,000
third
23 author per 10,000
1 dialect per 10,000
year
23 author per 10,000
5 dialect per 10,000
geen
23 author per 10,000
0 dialect per 10,000
richtfa
23 author per 10,000
0 dialect per 10,000
whiles
23 author per 10,000
1 dialect per 10,000
mair
23 author per 10,000
17 dialect per 10,000
road
23 author per 10,000
4 dialect per 10,000
nir
23 author per 10,000
0 dialect per 10,000
fore
23 author per 10,000
1 dialect per 10,000
seems
23 author per 10,000
1 dialect per 10,000
place
23 author per 10,000
5 dialect per 10,000
hell
23 author per 10,000
2 dialect per 10,000
leather
23 author per 10,000
0 dialect per 10,000
wye
23 author per 10,000
11 dialect per 10,000
still
23 author per 10,000
6 dialect per 10,000
feyther
23 author per 10,000
0 dialect per 10,000
hae
23 author per 10,000
20 dialect per 10,000
made
23 author per 10,000
8 dialect per 10,000
through
23 author per 10,000
3 dialect per 10,000
score
23 author per 10,000
0 dialect per 10,000
aye
23 author per 10,000
22 dialect per 10,000
dey
23 author per 10,000
0 dialect per 10,000
what
23 author per 10,000
3 dialect per 10,000
big
23 author per 10,000
6 dialect per 10,000
birthday
23 author per 10,000
1 dialect per 10,000
ither
23 author per 10,000
8 dialect per 10,000
ten
23 author per 10,000
3 dialect per 10,000
merker
23 author per 10,000
0 dialect per 10,000
than
23 author per 10,000
8 dialect per 10,000
ustae
23 author per 10,000
0 dialect per 10,000
be
23 author per 10,000
45 dialect per 10,000
bit
23 author per 10,000
43 dialect per 10,000
step
23 author per 10,000
1 dialect per 10,000
slower
23 author per 10,000
0 dialect per 10,000
dae
23 author per 10,000
5 dialect per 10,000
ower
23 author per 10,000
30 dialect per 10,000
richtly
23 author per 10,000
0 dialect per 10,000
gettin
23 author per 10,000
4 dialect per 10,000
onythin
23 author per 10,000
2 dialect per 10,000
else
23 author per 10,000
2 dialect per 10,000
Shetland
a
512 author per 10,000
280 dialect per 10,000
the
442 author per 10,000
18 dialect per 10,000
tae
302 author per 10,000
86 dialect per 10,000
ir
209 author per 10,000
13 dialect per 10,000
tha
209 author per 10,000
1 dialect per 10,000
i
163 author per 10,000
143 dialect per 10,000
an
163 author per 10,000
330 dialect per 10,000
o
163 author per 10,000
177 dialect per 10,000
in
140 author per 10,000
105 dialect per 10,000
oul
116 author per 10,000
0 dialect per 10,000
but
116 author per 10,000
29 dialect per 10,000
it
116 author per 10,000
58 dialect per 10,000
we
93 author per 10,000
44 dialect per 10,000
€™
93 author per 10,000
17 dialect per 10,000
is
93 author per 10,000
81 dialect per 10,000
ye
93 author per 10,000
0 dialect per 10,000
dance
93 author per 10,000
2 dialect per 10,000
noo
93 author per 10,000
19 dialect per 10,000
some
93 author per 10,000
13 dialect per 10,000
this
70 author per 10,000
1 dialect per 10,000
€™s
70 author per 10,000
15 dialect per 10,000
they
70 author per 10,000
2 dialect per 10,000
mae
70 author per 10,000
0 dialect per 10,000
think
70 author per 10,000
1 dialect per 10,000
oot
70 author per 10,000
42 dialect per 10,000
young
70 author per 10,000
6 dialect per 10,000
am
70 author per 10,000
4 dialect per 10,000
wid
70 author per 10,000
38 dialect per 10,000
frae
70 author per 10,000
0 dialect per 10,000
my
70 author per 10,000
23 dialect per 10,000
nae
70 author per 10,000
23 dialect per 10,000
yins
70 author per 10,000
0 dialect per 10,000
noo-a-deys
47 author per 10,000
0 dialect per 10,000
canny
47 author per 10,000
0 dialect per 10,000
roon
47 author per 10,000
0 dialect per 10,000
sae
47 author per 10,000
8 dialect per 10,000
say
47 author per 10,000
11 dialect per 10,000
hame
47 author per 10,000
7 dialect per 10,000
aa
47 author per 10,000
51 dialect per 10,000
floor
47 author per 10,000
0 dialect per 10,000
naw
47 author per 10,000
0 dialect per 10,000
robinson
47 author per 10,000
0 dialect per 10,000
for
47 author per 10,000
35 dialect per 10,000
that
47 author per 10,000
4 dialect per 10,000
age
47 author per 10,000
1 dialect per 10,000
sandy
47 author per 10,000
0 dialect per 10,000
side
47 author per 10,000
4 dialect per 10,000
thauts
47 author per 10,000
0 dialect per 10,000
wae
47 author per 10,000
0 dialect per 10,000
thaur
47 author per 10,000
0 dialect per 10,000
them
47 author per 10,000
1 dialect per 10,000
mi
47 author per 10,000
3 dialect per 10,000
had
47 author per 10,000
2 dialect per 10,000
feet
47 author per 10,000
3 dialect per 10,000
at
47 author per 10,000
112 dialect per 10,000
see
47 author per 10,000
20 dialect per 10,000
bae
47 author per 10,000
0 dialect per 10,000
kno
47 author per 10,000
0 dialect per 10,000
far
47 author per 10,000
5 dialect per 10,000
lang
47 author per 10,000
11 dialect per 10,000
get
47 author per 10,000
6 dialect per 10,000
three
47 author per 10,000
0 dialect per 10,000
leevin
47 author per 10,000
0 dialect per 10,000
caa
47 author per 10,000
4 dialect per 10,000
as
47 author per 10,000
79 dialect per 10,000
hear
47 author per 10,000
4 dialect per 10,000
sweet
23 author per 10,000
1 dialect per 10,000
glenarm
23 author per 10,000
0 dialect per 10,000
mony
23 author per 10,000
4 dialect per 10,000
like
23 author per 10,000
2 dialect per 10,000
ago
23 author per 10,000
2 dialect per 10,000
larne
23 author per 10,000
0 dialect per 10,000
october
23 author per 10,000
0 dialect per 10,000
want
23 author per 10,000
5 dialect per 10,000
hired
23 author per 10,000
0 dialect per 10,000
matt
23 author per 10,000
0 dialect per 10,000
message
23 author per 10,000
0 dialect per 10,000
places
23 author per 10,000
0 dialect per 10,000
meharg
23 author per 10,000
0 dialect per 10,000
bl
23 author per 10,000
0 dialect per 10,000
before
23 author per 10,000
1 dialect per 10,000
peak
23 author per 10,000
0 dialect per 10,000
ether
23 author per 10,000
0 dialect per 10,000
met
23 author per 10,000
1 dialect per 10,000
wife
23 author per 10,000
4 dialect per 10,000
twa
23 author per 10,000
13 dialect per 10,000
went
23 author per 10,000
0 dialect per 10,000
week
23 author per 10,000
1 dialect per 10,000
wus
23 author per 10,000
0 dialect per 10,000
when
23 author per 10,000
5 dialect per 10,000
waaked
23 author per 10,000
0 dialect per 10,000
happy
23 author per 10,000
1 dialect per 10,000
€™easton
23 author per 10,000
0 dialect per 10,000
bike
23 author per 10,000
0 dialect per 10,000
was
23 author per 10,000
3 dialect per 10,000
rid
23 author per 10,000
0 dialect per 10,000
so
23 author per 10,000
26 dialect per 10,000
tildarg
23 author per 10,000
0 dialect per 10,000
tappin
23 author per 10,000
0 dialect per 10,000
know
23 author per 10,000
1 dialect per 10,000
rage
23 author per 10,000
0 dialect per 10,000
€™re
23 author per 10,000
1 dialect per 10,000
cute
23 author per 10,000
0 dialect per 10,000
withoot
23 author per 10,000
1 dialect per 10,000
disco
23 author per 10,000
0 dialect per 10,000
date
23 author per 10,000
0 dialect per 10,000
gone
23 author per 10,000
0 dialect per 10,000
live
23 author per 10,000
1 dialect per 10,000
different
23 author per 10,000
6 dialect per 10,000
country
23 author per 10,000
0 dialect per 10,000
gane
23 author per 10,000
1 dialect per 10,000
on
23 author per 10,000
52 dialect per 10,000
best
23 author per 10,000
6 dialect per 10,000
same
23 author per 10,000
0 dialect per 10,000
fir
23 author per 10,000
29 dialect per 10,000
keep
23 author per 10,000
5 dialect per 10,000
ullans
23 author per 10,000
0 dialect per 10,000
very
23 author per 10,000
7 dialect per 10,000
years
23 author per 10,000
4 dialect per 10,000
tv
23 author per 10,000
1 dialect per 10,000
wha
23 author per 10,000
5 dialect per 10,000
knows
23 author per 10,000
0 dialect per 10,000
fifty
23 author per 10,000
0 dialect per 10,000
past
23 author per 10,000
3 dialect per 10,000
partner
23 author per 10,000
0 dialect per 10,000
lancers
23 author per 10,000
0 dialect per 10,000
done
23 author per 10,000
1 dialect per 10,000
setts
23 author per 10,000
0 dialect per 10,000
polka
23 author per 10,000
0 dialect per 10,000
reels
23 author per 10,000
0 dialect per 10,000
more
23 author per 10,000
1 dialect per 10,000
wanted
23 author per 10,000
1 dialect per 10,000
dancin
23 author per 10,000
0 dialect per 10,000
odds
23 author per 10,000
1 dialect per 10,000
last
23 author per 10,000
6 dialect per 10,000
alwyes
23 author per 10,000
0 dialect per 10,000
€˜twas
23 author per 10,000
0 dialect per 10,000
great
23 author per 10,000
1 dialect per 10,000
while
23 author per 10,000
4 dialect per 10,000
came
23 author per 10,000
0 dialect per 10,000
ithers
23 author per 10,000
0 dialect per 10,000
chance
23 author per 10,000
2 dialect per 10,000
their
23 author per 10,000
1 dialect per 10,000
glide
23 author per 10,000
0 dialect per 10,000
watch
23 author per 10,000
2 dialect per 10,000
poocher
23 author per 10,000
0 dialect per 10,000
rattlin
23 author per 10,000
0 dialect per 10,000
soons
23 author per 10,000
0 dialect per 10,000
heels
23 author per 10,000
0 dialect per 10,000
nicht
23 author per 10,000
3 dialect per 10,000
stan
23 author per 10,000
0 dialect per 10,000
diinne
23 author per 10,000
0 dialect per 10,000
why
23 author per 10,000
2 dialect per 10,000
onywye
23 author per 10,000
2 dialect per 10,000
ouler
23 author per 10,000
0 dialect per 10,000
folk
23 author per 10,000
1 dialect per 10,000
unnerstaun
23 author per 10,000
0 dialect per 10,000
kan
23 author per 10,000
0 dialect per 10,000
hes
23 author per 10,000
0 dialect per 10,000
ninety
23 author per 10,000
0 dialect per 10,000
third
23 author per 10,000
2 dialect per 10,000
year
23 author per 10,000
7 dialect per 10,000
geen
23 author per 10,000
2 dialect per 10,000
richtfa
23 author per 10,000
0 dialect per 10,000
whiles
23 author per 10,000
0 dialect per 10,000
mair
23 author per 10,000
19 dialect per 10,000
road
23 author per 10,000
0 dialect per 10,000
nir
23 author per 10,000
0 dialect per 10,000
fore
23 author per 10,000
1 dialect per 10,000
seems
23 author per 10,000
1 dialect per 10,000
place
23 author per 10,000
7 dialect per 10,000
hell
23 author per 10,000
0 dialect per 10,000
leather
23 author per 10,000
0 dialect per 10,000
wye
23 author per 10,000
24 dialect per 10,000
still
23 author per 10,000
9 dialect per 10,000
feyther
23 author per 10,000
0 dialect per 10,000
hae
23 author per 10,000
25 dialect per 10,000
made
23 author per 10,000
1 dialect per 10,000
through
23 author per 10,000
0 dialect per 10,000
score
23 author per 10,000
0 dialect per 10,000
aye
23 author per 10,000
11 dialect per 10,000
dey
23 author per 10,000
75 dialect per 10,000
what
23 author per 10,000
8 dialect per 10,000
big
23 author per 10,000
3 dialect per 10,000
birthday
23 author per 10,000
1 dialect per 10,000
ither
23 author per 10,000
0 dialect per 10,000
ten
23 author per 10,000
1 dialect per 10,000
merker
23 author per 10,000
0 dialect per 10,000
than
23 author per 10,000
0 dialect per 10,000
ustae
23 author per 10,000
0 dialect per 10,000
be
23 author per 10,000
56 dialect per 10,000
bit
23 author per 10,000
38 dialect per 10,000
step
23 author per 10,000
1 dialect per 10,000
slower
23 author per 10,000
0 dialect per 10,000
dae
23 author per 10,000
2 dialect per 10,000
ower
23 author per 10,000
24 dialect per 10,000
richtly
23 author per 10,000
0 dialect per 10,000
gettin
23 author per 10,000
2 dialect per 10,000
onythin
23 author per 10,000
1 dialect per 10,000
else
23 author per 10,000
1 dialect per 10,000
Orkney
a
512 author per 10,000
298 dialect per 10,000
the
442 author per 10,000
582 dialect per 10,000
tae
302 author per 10,000
223 dialect per 10,000
ir
209 author per 10,000
2 dialect per 10,000
tha
209 author per 10,000
0 dialect per 10,000
i
163 author per 10,000
158 dialect per 10,000
an
163 author per 10,000
172 dialect per 10,000
o
163 author per 10,000
202 dialect per 10,000
in
140 author per 10,000
146 dialect per 10,000
oul
116 author per 10,000
0 dialect per 10,000
but
116 author per 10,000
28 dialect per 10,000
it
116 author per 10,000
23 dialect per 10,000
we
93 author per 10,000
29 dialect per 10,000
€™
93 author per 10,000
13 dialect per 10,000
is
93 author per 10,000
71 dialect per 10,000
ye
93 author per 10,000
17 dialect per 10,000
dance
93 author per 10,000
7 dialect per 10,000
noo
93 author per 10,000
27 dialect per 10,000
some
93 author per 10,000
17 dialect per 10,000
this
70 author per 10,000
34 dialect per 10,000
€™s
70 author per 10,000
17 dialect per 10,000
they
70 author per 10,000
37 dialect per 10,000
mae
70 author per 10,000
0 dialect per 10,000
think
70 author per 10,000
10 dialect per 10,000
oot
70 author per 10,000
50 dialect per 10,000
young
70 author per 10,000
4 dialect per 10,000
am
70 author per 10,000
6 dialect per 10,000
wid
70 author per 10,000
20 dialect per 10,000
frae
70 author per 10,000
0 dialect per 10,000
my
70 author per 10,000
5 dialect per 10,000
nae
70 author per 10,000
3 dialect per 10,000
yins
70 author per 10,000
0 dialect per 10,000
noo-a-deys
47 author per 10,000
0 dialect per 10,000
canny
47 author per 10,000
0 dialect per 10,000
roon
47 author per 10,000
2 dialect per 10,000
sae
47 author per 10,000
1 dialect per 10,000
say
47 author per 10,000
10 dialect per 10,000
hame
47 author per 10,000
1 dialect per 10,000
aa
47 author per 10,000
8 dialect per 10,000
floor
47 author per 10,000
3 dialect per 10,000
naw
47 author per 10,000
0 dialect per 10,000
robinson
47 author per 10,000
0 dialect per 10,000
for
47 author per 10,000
26 dialect per 10,000
that
47 author per 10,000
75 dialect per 10,000
age
47 author per 10,000
2 dialect per 10,000
sandy
47 author per 10,000
0 dialect per 10,000
side
47 author per 10,000
4 dialect per 10,000
thauts
47 author per 10,000
0 dialect per 10,000
wae
47 author per 10,000
44 dialect per 10,000
thaur
47 author per 10,000
0 dialect per 10,000
them
47 author per 10,000
18 dialect per 10,000
mi
47 author per 10,000
0 dialect per 10,000
had
47 author per 10,000
3 dialect per 10,000
feet
47 author per 10,000
5 dialect per 10,000
at
47 author per 10,000
54 dialect per 10,000
see
47 author per 10,000
17 dialect per 10,000
bae
47 author per 10,000
3 dialect per 10,000
kno
47 author per 10,000
0 dialect per 10,000
far
47 author per 10,000
4 dialect per 10,000
lang
47 author per 10,000
1 dialect per 10,000
get
47 author per 10,000
9 dialect per 10,000
three
47 author per 10,000
4 dialect per 10,000
leevin
47 author per 10,000
0 dialect per 10,000
caa
47 author per 10,000
0 dialect per 10,000
as
47 author per 10,000
48 dialect per 10,000
hear
47 author per 10,000
4 dialect per 10,000
sweet
23 author per 10,000
2 dialect per 10,000
glenarm
23 author per 10,000
0 dialect per 10,000
mony
23 author per 10,000
1 dialect per 10,000
like
23 author per 10,000
31 dialect per 10,000
ago
23 author per 10,000
2 dialect per 10,000
larne
23 author per 10,000
0 dialect per 10,000
october
23 author per 10,000
1 dialect per 10,000
want
23 author per 10,000
5 dialect per 10,000
hired
23 author per 10,000
0 dialect per 10,000
matt
23 author per 10,000
0 dialect per 10,000
message
23 author per 10,000
0 dialect per 10,000
places
23 author per 10,000
0 dialect per 10,000
meharg
23 author per 10,000
0 dialect per 10,000
bl
23 author per 10,000
0 dialect per 10,000
before
23 author per 10,000
1 dialect per 10,000
peak
23 author per 10,000
0 dialect per 10,000
ether
23 author per 10,000
1 dialect per 10,000
met
23 author per 10,000
2 dialect per 10,000
wife
23 author per 10,000
8 dialect per 10,000
twa
23 author per 10,000
10 dialect per 10,000
went
23 author per 10,000
1 dialect per 10,000
week
23 author per 10,000
4 dialect per 10,000
wus
23 author per 10,000
0 dialect per 10,000
when
23 author per 10,000
23 dialect per 10,000
waaked
23 author per 10,000
0 dialect per 10,000
happy
23 author per 10,000
3 dialect per 10,000
€™easton
23 author per 10,000
0 dialect per 10,000
bike
23 author per 10,000
1 dialect per 10,000
was
23 author per 10,000
2 dialect per 10,000
rid
23 author per 10,000
0 dialect per 10,000
so
23 author per 10,000
30 dialect per 10,000
tildarg
23 author per 10,000
0 dialect per 10,000
tappin
23 author per 10,000
0 dialect per 10,000
know
23 author per 10,000
1 dialect per 10,000
rage
23 author per 10,000
0 dialect per 10,000
€™re
23 author per 10,000
1 dialect per 10,000
cute
23 author per 10,000
0 dialect per 10,000
withoot
23 author per 10,000
2 dialect per 10,000
disco
23 author per 10,000
0 dialect per 10,000
date
23 author per 10,000
0 dialect per 10,000
gone
23 author per 10,000
1 dialect per 10,000
live
23 author per 10,000
1 dialect per 10,000
different
23 author per 10,000
2 dialect per 10,000
country
23 author per 10,000
1 dialect per 10,000
gane
23 author per 10,000
0 dialect per 10,000
on
23 author per 10,000
73 dialect per 10,000
best
23 author per 10,000
6 dialect per 10,000
same
23 author per 10,000
3 dialect per 10,000
fir
23 author per 10,000
5 dialect per 10,000
keep
23 author per 10,000
7 dialect per 10,000
ullans
23 author per 10,000
0 dialect per 10,000
very
23 author per 10,000
7 dialect per 10,000
years
23 author per 10,000
2 dialect per 10,000
tv
23 author per 10,000
1 dialect per 10,000
wha
23 author per 10,000
4 dialect per 10,000
knows
23 author per 10,000
0 dialect per 10,000
fifty
23 author per 10,000
0 dialect per 10,000
past
23 author per 10,000
3 dialect per 10,000
partner
23 author per 10,000
0 dialect per 10,000
lancers
23 author per 10,000
0 dialect per 10,000
done
23 author per 10,000
2 dialect per 10,000
setts
23 author per 10,000
0 dialect per 10,000
polka
23 author per 10,000
0 dialect per 10,000
reels
23 author per 10,000
0 dialect per 10,000
more
23 author per 10,000
17 dialect per 10,000
wanted
23 author per 10,000
1 dialect per 10,000
dancin
23 author per 10,000
0 dialect per 10,000
odds
23 author per 10,000
0 dialect per 10,000
last
23 author per 10,000
8 dialect per 10,000
alwyes
23 author per 10,000
0 dialect per 10,000
€˜twas
23 author per 10,000
0 dialect per 10,000
great
23 author per 10,000
4 dialect per 10,000
while
23 author per 10,000
6 dialect per 10,000
came
23 author per 10,000
1 dialect per 10,000
ithers
23 author per 10,000
1 dialect per 10,000
chance
23 author per 10,000
2 dialect per 10,000
their
23 author per 10,000
8 dialect per 10,000
glide
23 author per 10,000
0 dialect per 10,000
watch
23 author per 10,000
2 dialect per 10,000
poocher
23 author per 10,000
0 dialect per 10,000
rattlin
23 author per 10,000
0 dialect per 10,000
soons
23 author per 10,000
0 dialect per 10,000
heels
23 author per 10,000
0 dialect per 10,000
nicht
23 author per 10,000
0 dialect per 10,000
stan
23 author per 10,000
0 dialect per 10,000
diinne
23 author per 10,000
0 dialect per 10,000
why
23 author per 10,000
4 dialect per 10,000
onywye
23 author per 10,000
0 dialect per 10,000
ouler
23 author per 10,000
0 dialect per 10,000
folk
23 author per 10,000
9 dialect per 10,000
unnerstaun
23 author per 10,000
0 dialect per 10,000
kan
23 author per 10,000
0 dialect per 10,000
hes
23 author per 10,000
0 dialect per 10,000
ninety
23 author per 10,000
0 dialect per 10,000
third
23 author per 10,000
0 dialect per 10,000
year
23 author per 10,000
7 dialect per 10,000
geen
23 author per 10,000
2 dialect per 10,000
richtfa
23 author per 10,000
0 dialect per 10,000
whiles
23 author per 10,000
0 dialect per 10,000
mair
23 author per 10,000
1 dialect per 10,000
road
23 author per 10,000
5 dialect per 10,000
nir
23 author per 10,000
0 dialect per 10,000
fore
23 author per 10,000
1 dialect per 10,000
seems
23 author per 10,000
2 dialect per 10,000
place
23 author per 10,000
4 dialect per 10,000
hell
23 author per 10,000
1 dialect per 10,000
leather
23 author per 10,000
1 dialect per 10,000
wye
23 author per 10,000
0 dialect per 10,000
still
23 author per 10,000
12 dialect per 10,000
feyther
23 author per 10,000
1 dialect per 10,000
hae
23 author per 10,000
11 dialect per 10,000
made
23 author per 10,000
3 dialect per 10,000
through
23 author per 10,000
9 dialect per 10,000
score
23 author per 10,000
0 dialect per 10,000
aye
23 author per 10,000
9 dialect per 10,000
dey
23 author per 10,000
0 dialect per 10,000
what
23 author per 10,000
5 dialect per 10,000
big
23 author per 10,000
7 dialect per 10,000
birthday
23 author per 10,000
0 dialect per 10,000
ither
23 author per 10,000
9 dialect per 10,000
ten
23 author per 10,000
2 dialect per 10,000
merker
23 author per 10,000
0 dialect per 10,000
than
23 author per 10,000
12 dialect per 10,000
ustae
23 author per 10,000
0 dialect per 10,000
be
23 author per 10,000
42 dialect per 10,000
bit
23 author per 10,000
48 dialect per 10,000
step
23 author per 10,000
2 dialect per 10,000
slower
23 author per 10,000
0 dialect per 10,000
dae
23 author per 10,000
10 dialect per 10,000
ower
23 author per 10,000
18 dialect per 10,000
richtly
23 author per 10,000
0 dialect per 10,000
gettin
23 author per 10,000
0 dialect per 10,000
onythin
23 author per 10,000
0 dialect per 10,000
else
23 author per 10,000
2 dialect per 10,000
Southern
a
512 author per 10,000
230 dialect per 10,000
the
442 author per 10,000
449 dialect per 10,000
tae
302 author per 10,000
206 dialect per 10,000
ir
209 author per 10,000
9 dialect per 10,000
tha
209 author per 10,000
0 dialect per 10,000
i
163 author per 10,000
74 dialect per 10,000
an
163 author per 10,000
289 dialect per 10,000
o
163 author per 10,000
200 dialect per 10,000
in
140 author per 10,000
107 dialect per 10,000
oul
116 author per 10,000
0 dialect per 10,000
but
116 author per 10,000
42 dialect per 10,000
it
116 author per 10,000
63 dialect per 10,000
we
93 author per 10,000
10 dialect per 10,000
€™
93 author per 10,000
14 dialect per 10,000
is
93 author per 10,000
62 dialect per 10,000
ye
93 author per 10,000
21 dialect per 10,000
dance
93 author per 10,000
3 dialect per 10,000
noo
93 author per 10,000
16 dialect per 10,000
some
93 author per 10,000
12 dialect per 10,000
this
70 author per 10,000
35 dialect per 10,000
€™s
70 author per 10,000
34 dialect per 10,000
they
70 author per 10,000
31 dialect per 10,000
mae
70 author per 10,000
1 dialect per 10,000
think
70 author per 10,000
7 dialect per 10,000
oot
70 author per 10,000
34 dialect per 10,000
young
70 author per 10,000
3 dialect per 10,000
am
70 author per 10,000
2 dialect per 10,000
wid
70 author per 10,000
1 dialect per 10,000
frae
70 author per 10,000
42 dialect per 10,000
my
70 author per 10,000
1 dialect per 10,000
nae
70 author per 10,000
25 dialect per 10,000
yins
70 author per 10,000
2 dialect per 10,000
noo-a-deys
47 author per 10,000
0 dialect per 10,000
canny
47 author per 10,000
0 dialect per 10,000
roon
47 author per 10,000
2 dialect per 10,000
sae
47 author per 10,000
28 dialect per 10,000
say
47 author per 10,000
17 dialect per 10,000
hame
47 author per 10,000
8 dialect per 10,000
aa
47 author per 10,000
10 dialect per 10,000
floor
47 author per 10,000
0 dialect per 10,000
naw
47 author per 10,000
1 dialect per 10,000
robinson
47 author per 10,000
0 dialect per 10,000
for
47 author per 10,000
22 dialect per 10,000
that
47 author per 10,000
65 dialect per 10,000
age
47 author per 10,000
2 dialect per 10,000
sandy
47 author per 10,000
0 dialect per 10,000
side
47 author per 10,000
7 dialect per 10,000
thauts
47 author per 10,000
0 dialect per 10,000
wae
47 author per 10,000
0 dialect per 10,000
thaur
47 author per 10,000
0 dialect per 10,000
them
47 author per 10,000
5 dialect per 10,000
mi
47 author per 10,000
0 dialect per 10,000
had
47 author per 10,000
0 dialect per 10,000
feet
47 author per 10,000
3 dialect per 10,000
at
47 author per 10,000
69 dialect per 10,000
see
47 author per 10,000
5 dialect per 10,000
bae
47 author per 10,000
0 dialect per 10,000
kno
47 author per 10,000
0 dialect per 10,000
far
47 author per 10,000
2 dialect per 10,000
lang
47 author per 10,000
12 dialect per 10,000
get
47 author per 10,000
10 dialect per 10,000
three
47 author per 10,000
2 dialect per 10,000
leevin
47 author per 10,000
2 dialect per 10,000
caa
47 author per 10,000
0 dialect per 10,000
as
47 author per 10,000
50 dialect per 10,000
hear
47 author per 10,000
5 dialect per 10,000
sweet
23 author per 10,000
1 dialect per 10,000
glenarm
23 author per 10,000
0 dialect per 10,000
mony
23 author per 10,000
3 dialect per 10,000
like
23 author per 10,000
8 dialect per 10,000
ago
23 author per 10,000
1 dialect per 10,000
larne
23 author per 10,000
0 dialect per 10,000
october
23 author per 10,000
0 dialect per 10,000
want
23 author per 10,000
3 dialect per 10,000
hired
23 author per 10,000
0 dialect per 10,000
matt
23 author per 10,000
1 dialect per 10,000
message
23 author per 10,000
0 dialect per 10,000
places
23 author per 10,000
1 dialect per 10,000
meharg
23 author per 10,000
0 dialect per 10,000
bl
23 author per 10,000
0 dialect per 10,000
before
23 author per 10,000
0 dialect per 10,000
peak
23 author per 10,000
0 dialect per 10,000
ether
23 author per 10,000
0 dialect per 10,000
met
23 author per 10,000
1 dialect per 10,000
wife
23 author per 10,000
3 dialect per 10,000
twa
23 author per 10,000
2 dialect per 10,000
went
23 author per 10,000
13 dialect per 10,000
week
23 author per 10,000
1 dialect per 10,000
wus
23 author per 10,000
0 dialect per 10,000
when
23 author per 10,000
16 dialect per 10,000
waaked
23 author per 10,000
0 dialect per 10,000
happy
23 author per 10,000
0 dialect per 10,000
€™easton
23 author per 10,000
0 dialect per 10,000
bike
23 author per 10,000
1 dialect per 10,000
was
23 author per 10,000
58 dialect per 10,000
rid
23 author per 10,000
0 dialect per 10,000
so
23 author per 10,000
3 dialect per 10,000
tildarg
23 author per 10,000
0 dialect per 10,000
tappin
23 author per 10,000
0 dialect per 10,000
know
23 author per 10,000
0 dialect per 10,000
rage
23 author per 10,000
0 dialect per 10,000
€™re
23 author per 10,000
1 dialect per 10,000
cute
23 author per 10,000
0 dialect per 10,000
withoot
23 author per 10,000
4 dialect per 10,000
disco
23 author per 10,000
0 dialect per 10,000
date
23 author per 10,000
0 dialect per 10,000
gone
23 author per 10,000
1 dialect per 10,000
live
23 author per 10,000
1 dialect per 10,000
different
23 author per 10,000
2 dialect per 10,000
country
23 author per 10,000
0 dialect per 10,000
gane
23 author per 10,000
0 dialect per 10,000
on
23 author per 10,000
55 dialect per 10,000
best
23 author per 10,000
4 dialect per 10,000
same
23 author per 10,000
6 dialect per 10,000
fir
23 author per 10,000
5 dialect per 10,000
keep
23 author per 10,000
3 dialect per 10,000
ullans
23 author per 10,000
0 dialect per 10,000
very
23 author per 10,000
0 dialect per 10,000
years
23 author per 10,000
5 dialect per 10,000
tv
23 author per 10,000
0 dialect per 10,000
wha
23 author per 10,000
1 dialect per 10,000
knows
23 author per 10,000
0 dialect per 10,000
fifty
23 author per 10,000
0 dialect per 10,000
past
23 author per 10,000
2 dialect per 10,000
partner
23 author per 10,000
0 dialect per 10,000
lancers
23 author per 10,000
0 dialect per 10,000
done
23 author per 10,000
1 dialect per 10,000
setts
23 author per 10,000
0 dialect per 10,000
polka
23 author per 10,000
0 dialect per 10,000
reels
23 author per 10,000
0 dialect per 10,000
more
23 author per 10,000
0 dialect per 10,000
wanted
23 author per 10,000
1 dialect per 10,000
dancin
23 author per 10,000
0 dialect per 10,000
odds
23 author per 10,000
0 dialect per 10,000
last
23 author per 10,000
5 dialect per 10,000
alwyes
23 author per 10,000
0 dialect per 10,000
€˜twas
23 author per 10,000
0 dialect per 10,000
great
23 author per 10,000
1 dialect per 10,000
while
23 author per 10,000
5 dialect per 10,000
came
23 author per 10,000
6 dialect per 10,000
ithers
23 author per 10,000
2 dialect per 10,000
chance
23 author per 10,000
1 dialect per 10,000
their
23 author per 10,000
14 dialect per 10,000
glide
23 author per 10,000
0 dialect per 10,000
watch
23 author per 10,000
2 dialect per 10,000
poocher
23 author per 10,000
0 dialect per 10,000
rattlin
23 author per 10,000
0 dialect per 10,000
soons
23 author per 10,000
0 dialect per 10,000
heels
23 author per 10,000
0 dialect per 10,000
nicht
23 author per 10,000
8 dialect per 10,000
stan
23 author per 10,000
0 dialect per 10,000
diinne
23 author per 10,000
0 dialect per 10,000
why
23 author per 10,000
1 dialect per 10,000
onywye
23 author per 10,000
0 dialect per 10,000
ouler
23 author per 10,000
0 dialect per 10,000
folk
23 author per 10,000
3 dialect per 10,000
unnerstaun
23 author per 10,000
0 dialect per 10,000
kan
23 author per 10,000
3 dialect per 10,000
hes
23 author per 10,000
4 dialect per 10,000
ninety
23 author per 10,000
0 dialect per 10,000
third
23 author per 10,000
0 dialect per 10,000
year
23 author per 10,000
5 dialect per 10,000
geen
23 author per 10,000
0 dialect per 10,000
richtfa
23 author per 10,000
0 dialect per 10,000
whiles
23 author per 10,000
1 dialect per 10,000
mair
23 author per 10,000
16 dialect per 10,000
road
23 author per 10,000
7 dialect per 10,000
nir
23 author per 10,000
0 dialect per 10,000
fore
23 author per 10,000
1 dialect per 10,000
seems
23 author per 10,000
2 dialect per 10,000
place
23 author per 10,000
5 dialect per 10,000
hell
23 author per 10,000
1 dialect per 10,000
leather
23 author per 10,000
0 dialect per 10,000
wye
23 author per 10,000
0 dialect per 10,000
still
23 author per 10,000
7 dialect per 10,000
feyther
23 author per 10,000
0 dialect per 10,000
hae
23 author per 10,000
35 dialect per 10,000
made
23 author per 10,000
6 dialect per 10,000
through
23 author per 10,000
2 dialect per 10,000
score
23 author per 10,000
0 dialect per 10,000
aye
23 author per 10,000
11 dialect per 10,000
dey
23 author per 10,000
0 dialect per 10,000
what
23 author per 10,000
4 dialect per 10,000
big
23 author per 10,000
5 dialect per 10,000
birthday
23 author per 10,000
0 dialect per 10,000
ither
23 author per 10,000
12 dialect per 10,000
ten
23 author per 10,000
2 dialect per 10,000
merker
23 author per 10,000
0 dialect per 10,000
than
23 author per 10,000
8 dialect per 10,000
ustae
23 author per 10,000
0 dialect per 10,000
be
23 author per 10,000
13 dialect per 10,000
bit
23 author per 10,000
14 dialect per 10,000
step
23 author per 10,000
0 dialect per 10,000
slower
23 author per 10,000
0 dialect per 10,000
dae
23 author per 10,000
14 dialect per 10,000
ower
23 author per 10,000
13 dialect per 10,000
richtly
23 author per 10,000
0 dialect per 10,000
gettin
23 author per 10,000
3 dialect per 10,000
onythin
23 author per 10,000
2 dialect per 10,000
else
23 author per 10,000
2 dialect per 10,000
Ulster
a
512 author per 10,000
287 dialect per 10,000
the
442 author per 10,000
345 dialect per 10,000
tae
302 author per 10,000
253 dialect per 10,000
ir
209 author per 10,000
29 dialect per 10,000
tha
209 author per 10,000
305 dialect per 10,000
i
163 author per 10,000
16 dialect per 10,000
an
163 author per 10,000
358 dialect per 10,000
o
163 author per 10,000
208 dialect per 10,000
in
140 author per 10,000
121 dialect per 10,000
oul
116 author per 10,000
16 dialect per 10,000
but
116 author per 10,000
41 dialect per 10,000
it
116 author per 10,000
73 dialect per 10,000
we
93 author per 10,000
18 dialect per 10,000
€™
93 author per 10,000
18 dialect per 10,000
is
93 author per 10,000
18 dialect per 10,000
ye
93 author per 10,000
79 dialect per 10,000
dance
93 author per 10,000
2 dialect per 10,000
noo
93 author per 10,000
22 dialect per 10,000
some
93 author per 10,000
7 dialect per 10,000
this
70 author per 10,000
27 dialect per 10,000
€™s
70 author per 10,000
11 dialect per 10,000
they
70 author per 10,000
26 dialect per 10,000
mae
70 author per 10,000
16 dialect per 10,000
think
70 author per 10,000
7 dialect per 10,000
oot
70 author per 10,000
49 dialect per 10,000
young
70 author per 10,000
3 dialect per 10,000
am
70 author per 10,000
4 dialect per 10,000
wid
70 author per 10,000
1 dialect per 10,000
frae
70 author per 10,000
36 dialect per 10,000
my
70 author per 10,000
2 dialect per 10,000
nae
70 author per 10,000
22 dialect per 10,000
yins
70 author per 10,000
8 dialect per 10,000
noo-a-deys
47 author per 10,000
0 dialect per 10,000
canny
47 author per 10,000
1 dialect per 10,000
roon
47 author per 10,000
10 dialect per 10,000
sae
47 author per 10,000
25 dialect per 10,000
say
47 author per 10,000
10 dialect per 10,000
hame
47 author per 10,000
10 dialect per 10,000
aa
47 author per 10,000
41 dialect per 10,000
floor
47 author per 10,000
0 dialect per 10,000
naw
47 author per 10,000
12 dialect per 10,000
robinson
47 author per 10,000
0 dialect per 10,000
for
47 author per 10,000
30 dialect per 10,000
that
47 author per 10,000
71 dialect per 10,000
age
47 author per 10,000
1 dialect per 10,000
sandy
47 author per 10,000
0 dialect per 10,000
side
47 author per 10,000
4 dialect per 10,000
thauts
47 author per 10,000
0 dialect per 10,000
wae
47 author per 10,000
11 dialect per 10,000
thaur
47 author per 10,000
1 dialect per 10,000
them
47 author per 10,000
8 dialect per 10,000
mi
47 author per 10,000
0 dialect per 10,000
had
47 author per 10,000
22 dialect per 10,000
feet
47 author per 10,000
4 dialect per 10,000
at
47 author per 10,000
58 dialect per 10,000
see
47 author per 10,000
16 dialect per 10,000
bae
47 author per 10,000
40 dialect per 10,000
kno
47 author per 10,000
0 dialect per 10,000
far
47 author per 10,000
5 dialect per 10,000
lang
47 author per 10,000
12 dialect per 10,000
get
47 author per 10,000
9 dialect per 10,000
three
47 author per 10,000
3 dialect per 10,000
leevin
47 author per 10,000
4 dialect per 10,000
caa
47 author per 10,000
4 dialect per 10,000
as
47 author per 10,000
31 dialect per 10,000
hear
47 author per 10,000
5 dialect per 10,000
sweet
23 author per 10,000
1 dialect per 10,000
glenarm
23 author per 10,000
0 dialect per 10,000
mony
23 author per 10,000
1 dialect per 10,000
like
23 author per 10,000
9 dialect per 10,000
ago
23 author per 10,000
1 dialect per 10,000
larne
23 author per 10,000
1 dialect per 10,000
october
23 author per 10,000
0 dialect per 10,000
want
23 author per 10,000
4 dialect per 10,000
hired
23 author per 10,000
0 dialect per 10,000
matt
23 author per 10,000
0 dialect per 10,000
message
23 author per 10,000
0 dialect per 10,000
places
23 author per 10,000
1 dialect per 10,000
meharg
23 author per 10,000
0 dialect per 10,000
bl
23 author per 10,000
0 dialect per 10,000
before
23 author per 10,000
0 dialect per 10,000
peak
23 author per 10,000
0 dialect per 10,000
ether
23 author per 10,000
1 dialect per 10,000
met
23 author per 10,000
2 dialect per 10,000
wife
23 author per 10,000
2 dialect per 10,000
twa
23 author per 10,000
11 dialect per 10,000
went
23 author per 10,000
12 dialect per 10,000
week
23 author per 10,000
1 dialect per 10,000
wus
23 author per 10,000
68 dialect per 10,000
when
23 author per 10,000
2 dialect per 10,000
waaked
23 author per 10,000
0 dialect per 10,000
happy
23 author per 10,000
2 dialect per 10,000
€™easton
23 author per 10,000
0 dialect per 10,000
bike
23 author per 10,000
1 dialect per 10,000
was
23 author per 10,000
22 dialect per 10,000
rid
23 author per 10,000
2 dialect per 10,000
so
23 author per 10,000
5 dialect per 10,000
tildarg
23 author per 10,000
0 dialect per 10,000
tappin
23 author per 10,000
0 dialect per 10,000
know
23 author per 10,000
11 dialect per 10,000
rage
23 author per 10,000
0 dialect per 10,000
€™re
23 author per 10,000
1 dialect per 10,000
cute
23 author per 10,000
0 dialect per 10,000
withoot
23 author per 10,000
1 dialect per 10,000
disco
23 author per 10,000
0 dialect per 10,000
date
23 author per 10,000
0 dialect per 10,000
gone
23 author per 10,000
1 dialect per 10,000
live
23 author per 10,000
1 dialect per 10,000
different
23 author per 10,000
1 dialect per 10,000
country
23 author per 10,000
1 dialect per 10,000
gane
23 author per 10,000
1 dialect per 10,000
on
23 author per 10,000
57 dialect per 10,000
best
23 author per 10,000
3 dialect per 10,000
same
23 author per 10,000
5 dialect per 10,000
fir
23 author per 10,000
2 dialect per 10,000
keep
23 author per 10,000
3 dialect per 10,000
ullans
23 author per 10,000
1 dialect per 10,000
very
23 author per 10,000
1 dialect per 10,000
years
23 author per 10,000
2 dialect per 10,000
tv
23 author per 10,000
0 dialect per 10,000
wha
23 author per 10,000
9 dialect per 10,000
knows
23 author per 10,000
1 dialect per 10,000
fifty
23 author per 10,000
0 dialect per 10,000
past
23 author per 10,000
1 dialect per 10,000
partner
23 author per 10,000
0 dialect per 10,000
lancers
23 author per 10,000
0 dialect per 10,000
done
23 author per 10,000
1 dialect per 10,000
setts
23 author per 10,000
0 dialect per 10,000
polka
23 author per 10,000
0 dialect per 10,000
reels
23 author per 10,000
0 dialect per 10,000
more
23 author per 10,000
0 dialect per 10,000
wanted
23 author per 10,000
1 dialect per 10,000
dancin
23 author per 10,000
1 dialect per 10,000
odds
23 author per 10,000
0 dialect per 10,000
last
23 author per 10,000
4 dialect per 10,000
alwyes
23 author per 10,000
0 dialect per 10,000
€˜twas
23 author per 10,000
0 dialect per 10,000
great
23 author per 10,000
1 dialect per 10,000
while
23 author per 10,000
5 dialect per 10,000
came
23 author per 10,000
2 dialect per 10,000
ithers
23 author per 10,000
3 dialect per 10,000
chance
23 author per 10,000
1 dialect per 10,000
their
23 author per 10,000
5 dialect per 10,000
glide
23 author per 10,000
0 dialect per 10,000
watch
23 author per 10,000
1 dialect per 10,000
poocher
23 author per 10,000
0 dialect per 10,000
rattlin
23 author per 10,000
0 dialect per 10,000
soons
23 author per 10,000
0 dialect per 10,000
heels
23 author per 10,000
0 dialect per 10,000
nicht
23 author per 10,000
7 dialect per 10,000
stan
23 author per 10,000
3 dialect per 10,000
diinne
23 author per 10,000
0 dialect per 10,000
why
23 author per 10,000
5 dialect per 10,000
onywye
23 author per 10,000
0 dialect per 10,000
ouler
23 author per 10,000
0 dialect per 10,000
folk
23 author per 10,000
4 dialect per 10,000
unnerstaun
23 author per 10,000
0 dialect per 10,000
kan
23 author per 10,000
0 dialect per 10,000
hes
23 author per 10,000
4 dialect per 10,000
ninety
23 author per 10,000
0 dialect per 10,000
third
23 author per 10,000
0 dialect per 10,000
year
23 author per 10,000
2 dialect per 10,000
geen
23 author per 10,000
0 dialect per 10,000
richtfa
23 author per 10,000
0 dialect per 10,000
whiles
23 author per 10,000
2 dialect per 10,000
mair
23 author per 10,000
27 dialect per 10,000
road
23 author per 10,000
3 dialect per 10,000
nir
23 author per 10,000
1 dialect per 10,000
fore
23 author per 10,000
1 dialect per 10,000
seems
23 author per 10,000
0 dialect per 10,000
place
23 author per 10,000
7 dialect per 10,000
hell
23 author per 10,000
1 dialect per 10,000
leather
23 author per 10,000
0 dialect per 10,000
wye
23 author per 10,000
13 dialect per 10,000
still
23 author per 10,000
4 dialect per 10,000
feyther
23 author per 10,000
0 dialect per 10,000
hae
23 author per 10,000
55 dialect per 10,000
made
23 author per 10,000
6 dialect per 10,000
through
23 author per 10,000
3 dialect per 10,000
score
23 author per 10,000
0 dialect per 10,000
aye
23 author per 10,000
13 dialect per 10,000
dey
23 author per 10,000
0 dialect per 10,000
what
23 author per 10,000
11 dialect per 10,000
big
23 author per 10,000
8 dialect per 10,000
birthday
23 author per 10,000
0 dialect per 10,000
ither
23 author per 10,000
14 dialect per 10,000
ten
23 author per 10,000
2 dialect per 10,000
merker
23 author per 10,000
0 dialect per 10,000
than
23 author per 10,000
3 dialect per 10,000
ustae
23 author per 10,000
0 dialect per 10,000
be
23 author per 10,000
39 dialect per 10,000
bit
23 author per 10,000
10 dialect per 10,000
step
23 author per 10,000
1 dialect per 10,000
slower
23 author per 10,000
0 dialect per 10,000
dae
23 author per 10,000
23 dialect per 10,000
ower
23 author per 10,000
18 dialect per 10,000
richtly
23 author per 10,000
0 dialect per 10,000
gettin
23 author per 10,000
2 dialect per 10,000
onythin
23 author per 10,000
0 dialect per 10,000
else
23 author per 10,000
1 dialect per 10,000