Central
da
1013 author per 10,000
3 dialect per 10,000
an
426 author per 10,000
225 dialect per 10,000
o
245 author per 10,000
185 dialect per 10,000
a
235 author per 10,000
266 dialect per 10,000
his
160 author per 10,000
59 dialect per 10,000
wis
128 author per 10,000
97 dialect per 10,000
wi
128 author per 10,000
67 dialect per 10,000
in
117 author per 10,000
147 dialect per 10,000
dey
107 author per 10,000
0 dialect per 10,000
fur
107 author per 10,000
23 dialect per 10,000
ower
96 author per 10,000
19 dialect per 10,000
tae
96 author per 10,000
211 dialect per 10,000
on
85 author per 10,000
55 dialect per 10,000
he
85 author per 10,000
87 dialect per 10,000
up
75 author per 10,000
40 dialect per 10,000
oot
75 author per 10,000
40 dialect per 10,000
aff
75 author per 10,000
14 dialect per 10,000
willie
75 author per 10,000
1 dialect per 10,000
dat
75 author per 10,000
0 dialect per 10,000
i
64 author per 10,000
39 dialect per 10,000
hit
64 author per 10,000
1 dialect per 10,000
ta
64 author per 10,000
0 dialect per 10,000
muckle
64 author per 10,000
10 dialect per 10,000
her
64 author per 10,000
46 dialect per 10,000
as
53 author per 10,000
59 dialect per 10,000
we
53 author per 10,000
33 dialect per 10,000
sea
53 author per 10,000
2 dialect per 10,000
dir
53 author per 10,000
0 dialect per 10,000
wirkin
43 author per 10,000
0 dialect per 10,000
tide
43 author per 10,000
0 dialect per 10,000
yun
43 author per 10,000
0 dialect per 10,000
aw
43 author per 10,000
39 dialect per 10,000
cam
43 author per 10,000
8 dialect per 10,000
lang
43 author per 10,000
10 dialect per 10,000
set
43 author per 10,000
4 dialect per 10,000
sail
43 author per 10,000
0 dialect per 10,000
fae
43 author per 10,000
26 dialect per 10,000
wid
43 author per 10,000
8 dialect per 10,000
day
43 author per 10,000
14 dialect per 10,000
du
43 author per 10,000
0 dialect per 10,000
wan
32 author per 10,000
9 dialect per 10,000
sam
32 author per 10,000
0 dialect per 10,000
wadder
32 author per 10,000
0 dialect per 10,000
baa
32 author per 10,000
0 dialect per 10,000
shu
32 author per 10,000
0 dialect per 10,000
licht
32 author per 10,000
3 dialect per 10,000
wey
32 author per 10,000
12 dialect per 10,000
johnnie
32 author per 10,000
0 dialect per 10,000
wind
32 author per 10,000
1 dialect per 10,000
twa
32 author per 10,000
10 dialect per 10,000
heid
32 author per 10,000
11 dialect per 10,000
roond
32 author per 10,000
3 dialect per 10,000
be
32 author per 10,000
48 dialect per 10,000
€™s
32 author per 10,000
32 dialect per 10,000
mind
32 author per 10,000
8 dialect per 10,000
beach
32 author per 10,000
0 dialect per 10,000
richt
32 author per 10,000
12 dialect per 10,000
anne
32 author per 10,000
0 dialect per 10,000
waves
32 author per 10,000
0 dialect per 10,000
lik
32 author per 10,000
5 dialect per 10,000
charlotte
32 author per 10,000
0 dialect per 10,000
whin
32 author per 10,000
1 dialect per 10,000
een
21 author per 10,000
5 dialect per 10,000
could
21 author per 10,000
9 dialect per 10,000
trowe
21 author per 10,000
0 dialect per 10,000
boats
21 author per 10,000
0 dialect per 10,000
feet
21 author per 10,000
3 dialect per 10,000
feelin
21 author per 10,000
2 dialect per 10,000
wheelhouse
21 author per 10,000
0 dialect per 10,000
sailed
21 author per 10,000
0 dialect per 10,000
dem
21 author per 10,000
0 dialect per 10,000
micht
21 author per 10,000
7 dialect per 10,000
dan
21 author per 10,000
0 dialect per 10,000
convoys
21 author per 10,000
0 dialect per 10,000
itill
21 author per 10,000
0 dialect per 10,000
cowld
21 author per 10,000
0 dialect per 10,000
him
21 author per 10,000
29 dialect per 10,000
aa
21 author per 10,000
14 dialect per 10,000
you
21 author per 10,000
15 dialect per 10,000
creel
21 author per 10,000
0 dialect per 10,000
hed
21 author per 10,000
1 dialect per 10,000
dis
21 author per 10,000
1 dialect per 10,000
come
21 author per 10,000
9 dialect per 10,000
gale
21 author per 10,000
0 dialect per 10,000
afore
21 author per 10,000
10 dialect per 10,000
herd
21 author per 10,000
0 dialect per 10,000
saw
21 author per 10,000
4 dialect per 10,000
let
21 author per 10,000
4 dialect per 10,000
no
21 author per 10,000
36 dialect per 10,000
voice
21 author per 10,000
2 dialect per 10,000
how
21 author per 10,000
6 dialect per 10,000
doon
21 author per 10,000
18 dialect per 10,000
taes
21 author per 10,000
0 dialect per 10,000
dere
21 author per 10,000
0 dialect per 10,000
hailed
21 author per 10,000
0 dialect per 10,000
back
21 author per 10,000
20 dialect per 10,000
peerie
21 author per 10,000
0 dialect per 10,000
stroods
21 author per 10,000
0 dialect per 10,000
warm
21 author per 10,000
1 dialect per 10,000
sees
21 author per 10,000
1 dialect per 10,000
lobsters
21 author per 10,000
0 dialect per 10,000
point
21 author per 10,000
1 dialect per 10,000
nae
21 author per 10,000
24 dialect per 10,000
ida
21 author per 10,000
0 dialect per 10,000
skipper
21 author per 10,000
0 dialect per 10,000
jamsie
21 author per 10,000
0 dialect per 10,000
darkenin
21 author per 10,000
0 dialect per 10,000
white
21 author per 10,000
3 dialect per 10,000
boy
21 author per 10,000
2 dialect per 10,000
fell
21 author per 10,000
2 dialect per 10,000
naa
21 author per 10,000
0 dialect per 10,000
filt
21 author per 10,000
0 dialect per 10,000
boys
21 author per 10,000
1 dialect per 10,000
said
21 author per 10,000
40 dialect per 10,000
waitin
21 author per 10,000
2 dialect per 10,000
geordie
21 author per 10,000
2 dialect per 10,000
turn
21 author per 10,000
2 dialect per 10,000
foula
11 author per 10,000
0 dialect per 10,000
burrafirth
11 author per 10,000
0 dialect per 10,000
lyin
11 author per 10,000
1 dialect per 10,000
haar
11 author per 10,000
0 dialect per 10,000
likly
11 author per 10,000
0 dialect per 10,000
see
11 author per 10,000
17 dialect per 10,000
tumbled
11 author per 10,000
0 dialect per 10,000
syne
11 author per 10,000
6 dialect per 10,000
year
11 author per 10,000
7 dialect per 10,000
mony
11 author per 10,000
4 dialect per 10,000
ran
11 author per 10,000
1 dialect per 10,000
high
11 author per 10,000
2 dialect per 10,000
stane
11 author per 10,000
2 dialect per 10,000
mark
11 author per 10,000
1 dialect per 10,000
watter
11 author per 10,000
3 dialect per 10,000
broo
11 author per 10,000
0 dialect per 10,000
tow
11 author per 10,000
0 dialect per 10,000
smokit
11 author per 10,000
0 dialect per 10,000
lee
11 author per 10,000
0 dialect per 10,000
staandin
11 author per 10,000
0 dialect per 10,000
wiecht
11 author per 10,000
0 dialect per 10,000
fags
11 author per 10,000
0 dialect per 10,000
swappit
11 author per 10,000
0 dialect per 10,000
tell
11 author per 10,000
8 dialect per 10,000
frame
11 author per 10,000
0 dialect per 10,000
if
11 author per 10,000
17 dialect per 10,000
yarns
11 author per 10,000
0 dialect per 10,000
groon
11 author per 10,000
0 dialect per 10,000
hear
11 author per 10,000
4 dialect per 10,000
goes
11 author per 10,000
1 dialect per 10,000
shut
11 author per 10,000
2 dialect per 10,000
flat
11 author per 10,000
1 dialect per 10,000
so
11 author per 10,000
10 dialect per 10,000
voe
11 author per 10,000
0 dialect per 10,000
engine
11 author per 10,000
0 dialect per 10,000
cappit
11 author per 10,000
0 dialect per 10,000
peester
11 author per 10,000
0 dialect per 10,000
hadna
11 author per 10,000
1 dialect per 10,000
ebb
11 author per 10,000
0 dialect per 10,000
twal
11 author per 10,000
0 dialect per 10,000
is
11 author per 10,000
58 dialect per 10,000
whaar
11 author per 10,000
0 dialect per 10,000
yunder
11 author per 10,000
0 dialect per 10,000
yes
11 author per 10,000
0 dialect per 10,000
brakkin
11 author per 10,000
0 dialect per 10,000
bridders
11 author per 10,000
0 dialect per 10,000
lipperin
11 author per 10,000
0 dialect per 10,000
takkin
11 author per 10,000
2 dialect per 10,000
codlin
11 author per 10,000
0 dialect per 10,000
by
11 author per 10,000
17 dialect per 10,000
big
11 author per 10,000
8 dialect per 10,000
runnin
11 author per 10,000
1 dialect per 10,000
swell
11 author per 10,000
0 dialect per 10,000
wasterly
11 author per 10,000
0 dialect per 10,000
joost
11 author per 10,000
0 dialect per 10,000
bulderation
11 author per 10,000
0 dialect per 10,000
jamsie's
11 author per 10,000
0 dialect per 10,000
banks
11 author per 10,000
0 dialect per 10,000
in-anunder
11 author per 10,000
0 dialect per 10,000
skiff
11 author per 10,000
0 dialect per 10,000
room
11 author per 10,000
4 dialect per 10,000
some
11 author per 10,000
13 dialect per 10,000
skitterin
11 author per 10,000
0 dialect per 10,000
tree
11 author per 10,000
1 dialect per 10,000
got
11 author per 10,000
11 dialect per 10,000
creels
11 author per 10,000
0 dialect per 10,000
sixteen
11 author per 10,000
0 dialect per 10,000
abune
11 author per 10,000
1 dialect per 10,000
noosts
11 author per 10,000
0 dialect per 10,000
wir
11 author per 10,000
4 dialect per 10,000
ream-calm
11 author per 10,000
0 dialect per 10,000
tap
11 author per 10,000
2 dialect per 10,000
nineteen
11 author per 10,000
0 dialect per 10,000
fish
11 author per 10,000
1 dialect per 10,000
february
11 author per 10,000
0 dialect per 10,000
fifty
11 author per 10,000
1 dialect per 10,000
fower
11 author per 10,000
2 dialect per 10,000
brim
11 author per 10,000
0 dialect per 10,000
nor-wasterd
11 author per 10,000
0 dialect per 10,000
settin
11 author per 10,000
0 dialect per 10,000
story
11 author per 10,000
2 dialect per 10,000
strampin
11 author per 10,000
0 dialect per 10,000
held
11 author per 10,000
1 dialect per 10,000
Doric
da
1013 author per 10,000
3 dialect per 10,000
an
426 author per 10,000
306 dialect per 10,000
o
245 author per 10,000
176 dialect per 10,000
a
235 author per 10,000
315 dialect per 10,000
his
160 author per 10,000
69 dialect per 10,000
wis
128 author per 10,000
105 dialect per 10,000
wi
128 author per 10,000
77 dialect per 10,000
in
117 author per 10,000
130 dialect per 10,000
dey
107 author per 10,000
0 dialect per 10,000
fur
107 author per 10,000
18 dialect per 10,000
ower
96 author per 10,000
30 dialect per 10,000
tae
96 author per 10,000
171 dialect per 10,000
on
85 author per 10,000
67 dialect per 10,000
he
85 author per 10,000
96 dialect per 10,000
up
75 author per 10,000
47 dialect per 10,000
oot
75 author per 10,000
50 dialect per 10,000
aff
75 author per 10,000
14 dialect per 10,000
willie
75 author per 10,000
1 dialect per 10,000
dat
75 author per 10,000
0 dialect per 10,000
i
64 author per 10,000
68 dialect per 10,000
hit
64 author per 10,000
1 dialect per 10,000
ta
64 author per 10,000
1 dialect per 10,000
muckle
64 author per 10,000
10 dialect per 10,000
her
64 author per 10,000
64 dialect per 10,000
as
53 author per 10,000
52 dialect per 10,000
we
53 author per 10,000
33 dialect per 10,000
sea
53 author per 10,000
4 dialect per 10,000
dir
53 author per 10,000
0 dialect per 10,000
wirkin
43 author per 10,000
1 dialect per 10,000
tide
43 author per 10,000
0 dialect per 10,000
yun
43 author per 10,000
0 dialect per 10,000
aw
43 author per 10,000
4 dialect per 10,000
cam
43 author per 10,000
12 dialect per 10,000
lang
43 author per 10,000
13 dialect per 10,000
set
43 author per 10,000
4 dialect per 10,000
sail
43 author per 10,000
1 dialect per 10,000
fae
43 author per 10,000
30 dialect per 10,000
wid
43 author per 10,000
18 dialect per 10,000
day
43 author per 10,000
26 dialect per 10,000
du
43 author per 10,000
0 dialect per 10,000
wan
32 author per 10,000
3 dialect per 10,000
sam
32 author per 10,000
0 dialect per 10,000
wadder
32 author per 10,000
0 dialect per 10,000
baa
32 author per 10,000
0 dialect per 10,000
shu
32 author per 10,000
0 dialect per 10,000
licht
32 author per 10,000
4 dialect per 10,000
wey
32 author per 10,000
3 dialect per 10,000
johnnie
32 author per 10,000
0 dialect per 10,000
wind
32 author per 10,000
1 dialect per 10,000
twa
32 author per 10,000
18 dialect per 10,000
heid
32 author per 10,000
12 dialect per 10,000
roond
32 author per 10,000
2 dialect per 10,000
be
32 author per 10,000
45 dialect per 10,000
€™s
32 author per 10,000
21 dialect per 10,000
mind
32 author per 10,000
5 dialect per 10,000
beach
32 author per 10,000
1 dialect per 10,000
richt
32 author per 10,000
19 dialect per 10,000
anne
32 author per 10,000
0 dialect per 10,000
waves
32 author per 10,000
0 dialect per 10,000
lik
32 author per 10,000
4 dialect per 10,000
charlotte
32 author per 10,000
0 dialect per 10,000
whin
32 author per 10,000
1 dialect per 10,000
een
21 author per 10,000
19 dialect per 10,000
could
21 author per 10,000
8 dialect per 10,000
trowe
21 author per 10,000
0 dialect per 10,000
boats
21 author per 10,000
0 dialect per 10,000
feet
21 author per 10,000
4 dialect per 10,000
feelin
21 author per 10,000
2 dialect per 10,000
wheelhouse
21 author per 10,000
0 dialect per 10,000
sailed
21 author per 10,000
0 dialect per 10,000
dem
21 author per 10,000
0 dialect per 10,000
micht
21 author per 10,000
6 dialect per 10,000
dan
21 author per 10,000
0 dialect per 10,000
convoys
21 author per 10,000
0 dialect per 10,000
itill
21 author per 10,000
0 dialect per 10,000
cowld
21 author per 10,000
0 dialect per 10,000
him
21 author per 10,000
30 dialect per 10,000
aa
21 author per 10,000
43 dialect per 10,000
you
21 author per 10,000
17 dialect per 10,000
creel
21 author per 10,000
0 dialect per 10,000
hed
21 author per 10,000
4 dialect per 10,000
dis
21 author per 10,000
5 dialect per 10,000
come
21 author per 10,000
13 dialect per 10,000
gale
21 author per 10,000
1 dialect per 10,000
afore
21 author per 10,000
14 dialect per 10,000
herd
21 author per 10,000
0 dialect per 10,000
saw
21 author per 10,000
3 dialect per 10,000
let
21 author per 10,000
5 dialect per 10,000
no
21 author per 10,000
7 dialect per 10,000
voice
21 author per 10,000
2 dialect per 10,000
how
21 author per 10,000
2 dialect per 10,000
doon
21 author per 10,000
33 dialect per 10,000
taes
21 author per 10,000
0 dialect per 10,000
dere
21 author per 10,000
0 dialect per 10,000
hailed
21 author per 10,000
0 dialect per 10,000
back
21 author per 10,000
21 dialect per 10,000
peerie
21 author per 10,000
0 dialect per 10,000
stroods
21 author per 10,000
0 dialect per 10,000
warm
21 author per 10,000
2 dialect per 10,000
sees
21 author per 10,000
0 dialect per 10,000
lobsters
21 author per 10,000
0 dialect per 10,000
point
21 author per 10,000
0 dialect per 10,000
nae
21 author per 10,000
50 dialect per 10,000
ida
21 author per 10,000
0 dialect per 10,000
skipper
21 author per 10,000
0 dialect per 10,000
jamsie
21 author per 10,000
0 dialect per 10,000
darkenin
21 author per 10,000
0 dialect per 10,000
white
21 author per 10,000
1 dialect per 10,000
boy
21 author per 10,000
0 dialect per 10,000
fell
21 author per 10,000
3 dialect per 10,000
naa
21 author per 10,000
0 dialect per 10,000
filt
21 author per 10,000
0 dialect per 10,000
boys
21 author per 10,000
0 dialect per 10,000
said
21 author per 10,000
36 dialect per 10,000
waitin
21 author per 10,000
1 dialect per 10,000
geordie
21 author per 10,000
1 dialect per 10,000
turn
21 author per 10,000
3 dialect per 10,000
foula
11 author per 10,000
0 dialect per 10,000
burrafirth
11 author per 10,000
0 dialect per 10,000
lyin
11 author per 10,000
1 dialect per 10,000
haar
11 author per 10,000
1 dialect per 10,000
likly
11 author per 10,000
0 dialect per 10,000
see
11 author per 10,000
21 dialect per 10,000
tumbled
11 author per 10,000
0 dialect per 10,000
syne
11 author per 10,000
11 dialect per 10,000
year
11 author per 10,000
5 dialect per 10,000
mony
11 author per 10,000
4 dialect per 10,000
ran
11 author per 10,000
2 dialect per 10,000
high
11 author per 10,000
1 dialect per 10,000
stane
11 author per 10,000
0 dialect per 10,000
mark
11 author per 10,000
0 dialect per 10,000
watter
11 author per 10,000
3 dialect per 10,000
broo
11 author per 10,000
1 dialect per 10,000
tow
11 author per 10,000
0 dialect per 10,000
smokit
11 author per 10,000
0 dialect per 10,000
lee
11 author per 10,000
1 dialect per 10,000
staandin
11 author per 10,000
0 dialect per 10,000
wiecht
11 author per 10,000
0 dialect per 10,000
fags
11 author per 10,000
0 dialect per 10,000
swappit
11 author per 10,000
0 dialect per 10,000
tell
11 author per 10,000
9 dialect per 10,000
frame
11 author per 10,000
0 dialect per 10,000
if
11 author per 10,000
16 dialect per 10,000
yarns
11 author per 10,000
0 dialect per 10,000
groon
11 author per 10,000
0 dialect per 10,000
hear
11 author per 10,000
4 dialect per 10,000
goes
11 author per 10,000
0 dialect per 10,000
shut
11 author per 10,000
1 dialect per 10,000
flat
11 author per 10,000
1 dialect per 10,000
so
11 author per 10,000
17 dialect per 10,000
voe
11 author per 10,000
0 dialect per 10,000
engine
11 author per 10,000
0 dialect per 10,000
cappit
11 author per 10,000
0 dialect per 10,000
peester
11 author per 10,000
0 dialect per 10,000
hadna
11 author per 10,000
0 dialect per 10,000
ebb
11 author per 10,000
0 dialect per 10,000
twal
11 author per 10,000
1 dialect per 10,000
is
11 author per 10,000
39 dialect per 10,000
whaar
11 author per 10,000
0 dialect per 10,000
yunder
11 author per 10,000
0 dialect per 10,000
yes
11 author per 10,000
1 dialect per 10,000
brakkin
11 author per 10,000
0 dialect per 10,000
bridders
11 author per 10,000
0 dialect per 10,000
lipperin
11 author per 10,000
0 dialect per 10,000
takkin
11 author per 10,000
2 dialect per 10,000
codlin
11 author per 10,000
0 dialect per 10,000
by
11 author per 10,000
9 dialect per 10,000
big
11 author per 10,000
6 dialect per 10,000
runnin
11 author per 10,000
0 dialect per 10,000
swell
11 author per 10,000
0 dialect per 10,000
wasterly
11 author per 10,000
0 dialect per 10,000
joost
11 author per 10,000
1 dialect per 10,000
bulderation
11 author per 10,000
0 dialect per 10,000
jamsie's
11 author per 10,000
0 dialect per 10,000
banks
11 author per 10,000
0 dialect per 10,000
in-anunder
11 author per 10,000
0 dialect per 10,000
skiff
11 author per 10,000
0 dialect per 10,000
room
11 author per 10,000
4 dialect per 10,000
some
11 author per 10,000
13 dialect per 10,000
skitterin
11 author per 10,000
0 dialect per 10,000
tree
11 author per 10,000
3 dialect per 10,000
got
11 author per 10,000
14 dialect per 10,000
creels
11 author per 10,000
0 dialect per 10,000
sixteen
11 author per 10,000
0 dialect per 10,000
abune
11 author per 10,000
0 dialect per 10,000
noosts
11 author per 10,000
0 dialect per 10,000
wir
11 author per 10,000
5 dialect per 10,000
ream-calm
11 author per 10,000
0 dialect per 10,000
tap
11 author per 10,000
4 dialect per 10,000
nineteen
11 author per 10,000
0 dialect per 10,000
fish
11 author per 10,000
2 dialect per 10,000
february
11 author per 10,000
0 dialect per 10,000
fifty
11 author per 10,000
1 dialect per 10,000
fower
11 author per 10,000
3 dialect per 10,000
brim
11 author per 10,000
0 dialect per 10,000
nor-wasterd
11 author per 10,000
0 dialect per 10,000
settin
11 author per 10,000
0 dialect per 10,000
story
11 author per 10,000
2 dialect per 10,000
strampin
11 author per 10,000
0 dialect per 10,000
held
11 author per 10,000
3 dialect per 10,000
Shetland
da
1013 author per 10,000
546 dialect per 10,000
an
426 author per 10,000
330 dialect per 10,000
o
245 author per 10,000
177 dialect per 10,000
a
235 author per 10,000
280 dialect per 10,000
his
160 author per 10,000
52 dialect per 10,000
wis
128 author per 10,000
162 dialect per 10,000
wi
128 author per 10,000
95 dialect per 10,000
in
117 author per 10,000
105 dialect per 10,000
dey
107 author per 10,000
75 dialect per 10,000
fur
107 author per 10,000
32 dialect per 10,000
ower
96 author per 10,000
24 dialect per 10,000
tae
96 author per 10,000
86 dialect per 10,000
on
85 author per 10,000
52 dialect per 10,000
he
85 author per 10,000
103 dialect per 10,000
up
75 author per 10,000
42 dialect per 10,000
oot
75 author per 10,000
42 dialect per 10,000
aff
75 author per 10,000
18 dialect per 10,000
willie
75 author per 10,000
2 dialect per 10,000
dat
75 author per 10,000
84 dialect per 10,000
i
64 author per 10,000
143 dialect per 10,000
hit
64 author per 10,000
44 dialect per 10,000
ta
64 author per 10,000
152 dialect per 10,000
muckle
64 author per 10,000
12 dialect per 10,000
her
64 author per 10,000
64 dialect per 10,000
as
53 author per 10,000
79 dialect per 10,000
we
53 author per 10,000
44 dialect per 10,000
sea
53 author per 10,000
6 dialect per 10,000
dir
53 author per 10,000
23 dialect per 10,000
wirkin
43 author per 10,000
2 dialect per 10,000
tide
43 author per 10,000
1 dialect per 10,000
yun
43 author per 10,000
6 dialect per 10,000
aw
43 author per 10,000
0 dialect per 10,000
cam
43 author per 10,000
22 dialect per 10,000
lang
43 author per 10,000
11 dialect per 10,000
set
43 author per 10,000
12 dialect per 10,000
sail
43 author per 10,000
1 dialect per 10,000
fae
43 author per 10,000
40 dialect per 10,000
wid
43 author per 10,000
38 dialect per 10,000
day
43 author per 10,000
18 dialect per 10,000
du
43 author per 10,000
44 dialect per 10,000
wan
32 author per 10,000
13 dialect per 10,000
sam
32 author per 10,000
13 dialect per 10,000
wadder
32 author per 10,000
1 dialect per 10,000
baa
32 author per 10,000
0 dialect per 10,000
shu
32 author per 10,000
0 dialect per 10,000
licht
32 author per 10,000
2 dialect per 10,000
wey
32 author per 10,000
0 dialect per 10,000
johnnie
32 author per 10,000
0 dialect per 10,000
wind
32 author per 10,000
3 dialect per 10,000
twa
32 author per 10,000
13 dialect per 10,000
heid
32 author per 10,000
2 dialect per 10,000
roond
32 author per 10,000
3 dialect per 10,000
be
32 author per 10,000
56 dialect per 10,000
€™s
32 author per 10,000
15 dialect per 10,000
mind
32 author per 10,000
10 dialect per 10,000
beach
32 author per 10,000
2 dialect per 10,000
richt
32 author per 10,000
13 dialect per 10,000
anne
32 author per 10,000
0 dialect per 10,000
waves
32 author per 10,000
1 dialect per 10,000
lik
32 author per 10,000
10 dialect per 10,000
charlotte
32 author per 10,000
0 dialect per 10,000
whin
32 author per 10,000
24 dialect per 10,000
een
21 author per 10,000
20 dialect per 10,000
could
21 author per 10,000
12 dialect per 10,000
trowe
21 author per 10,000
4 dialect per 10,000
boats
21 author per 10,000
1 dialect per 10,000
feet
21 author per 10,000
3 dialect per 10,000
feelin
21 author per 10,000
2 dialect per 10,000
wheelhouse
21 author per 10,000
0 dialect per 10,000
sailed
21 author per 10,000
0 dialect per 10,000
dem
21 author per 10,000
44 dialect per 10,000
micht
21 author per 10,000
4 dialect per 10,000
dan
21 author per 10,000
26 dialect per 10,000
convoys
21 author per 10,000
0 dialect per 10,000
itill
21 author per 10,000
0 dialect per 10,000
cowld
21 author per 10,000
1 dialect per 10,000
him
21 author per 10,000
47 dialect per 10,000
aa
21 author per 10,000
51 dialect per 10,000
you
21 author per 10,000
51 dialect per 10,000
creel
21 author per 10,000
0 dialect per 10,000
hed
21 author per 10,000
19 dialect per 10,000
dis
21 author per 10,000
53 dialect per 10,000
come
21 author per 10,000
19 dialect per 10,000
gale
21 author per 10,000
1 dialect per 10,000
afore
21 author per 10,000
15 dialect per 10,000
herd
21 author per 10,000
1 dialect per 10,000
saw
21 author per 10,000
1 dialect per 10,000
let
21 author per 10,000
1 dialect per 10,000
no
21 author per 10,000
35 dialect per 10,000
voice
21 author per 10,000
4 dialect per 10,000
how
21 author per 10,000
1 dialect per 10,000
doon
21 author per 10,000
22 dialect per 10,000
taes
21 author per 10,000
1 dialect per 10,000
dere
21 author per 10,000
13 dialect per 10,000
hailed
21 author per 10,000
0 dialect per 10,000
back
21 author per 10,000
18 dialect per 10,000
peerie
21 author per 10,000
29 dialect per 10,000
stroods
21 author per 10,000
0 dialect per 10,000
warm
21 author per 10,000
1 dialect per 10,000
sees
21 author per 10,000
2 dialect per 10,000
lobsters
21 author per 10,000
1 dialect per 10,000
point
21 author per 10,000
1 dialect per 10,000
nae
21 author per 10,000
23 dialect per 10,000
ida
21 author per 10,000
8 dialect per 10,000
skipper
21 author per 10,000
1 dialect per 10,000
jamsie
21 author per 10,000
0 dialect per 10,000
darkenin
21 author per 10,000
0 dialect per 10,000
white
21 author per 10,000
5 dialect per 10,000
boy
21 author per 10,000
5 dialect per 10,000
fell
21 author per 10,000
3 dialect per 10,000
naa
21 author per 10,000
0 dialect per 10,000
filt
21 author per 10,000
0 dialect per 10,000
boys
21 author per 10,000
3 dialect per 10,000
said
21 author per 10,000
61 dialect per 10,000
waitin
21 author per 10,000
1 dialect per 10,000
geordie
21 author per 10,000
1 dialect per 10,000
turn
21 author per 10,000
3 dialect per 10,000
foula
11 author per 10,000
0 dialect per 10,000
burrafirth
11 author per 10,000
0 dialect per 10,000
lyin
11 author per 10,000
2 dialect per 10,000
haar
11 author per 10,000
0 dialect per 10,000
likly
11 author per 10,000
0 dialect per 10,000
see
11 author per 10,000
20 dialect per 10,000
tumbled
11 author per 10,000
0 dialect per 10,000
syne
11 author per 10,000
1 dialect per 10,000
year
11 author per 10,000
7 dialect per 10,000
mony
11 author per 10,000
4 dialect per 10,000
ran
11 author per 10,000
2 dialect per 10,000
high
11 author per 10,000
2 dialect per 10,000
stane
11 author per 10,000
1 dialect per 10,000
mark
11 author per 10,000
1 dialect per 10,000
watter
11 author per 10,000
3 dialect per 10,000
broo
11 author per 10,000
2 dialect per 10,000
tow
11 author per 10,000
0 dialect per 10,000
smokit
11 author per 10,000
0 dialect per 10,000
lee
11 author per 10,000
0 dialect per 10,000
staandin
11 author per 10,000
2 dialect per 10,000
wiecht
11 author per 10,000
0 dialect per 10,000
fags
11 author per 10,000
0 dialect per 10,000
swappit
11 author per 10,000
0 dialect per 10,000
tell
11 author per 10,000
8 dialect per 10,000
frame
11 author per 10,000
0 dialect per 10,000
if
11 author per 10,000
25 dialect per 10,000
yarns
11 author per 10,000
0 dialect per 10,000
groon
11 author per 10,000
0 dialect per 10,000
hear
11 author per 10,000
4 dialect per 10,000
goes
11 author per 10,000
1 dialect per 10,000
shut
11 author per 10,000
1 dialect per 10,000
flat
11 author per 10,000
1 dialect per 10,000
so
11 author per 10,000
26 dialect per 10,000
voe
11 author per 10,000
1 dialect per 10,000
engine
11 author per 10,000
0 dialect per 10,000
cappit
11 author per 10,000
0 dialect per 10,000
peester
11 author per 10,000
0 dialect per 10,000
hadna
11 author per 10,000
0 dialect per 10,000
ebb
11 author per 10,000
0 dialect per 10,000
twal
11 author per 10,000
1 dialect per 10,000
is
11 author per 10,000
81 dialect per 10,000
whaar
11 author per 10,000
10 dialect per 10,000
yunder
11 author per 10,000
1 dialect per 10,000
yes
11 author per 10,000
2 dialect per 10,000
brakkin
11 author per 10,000
0 dialect per 10,000
bridders
11 author per 10,000
1 dialect per 10,000
lipperin
11 author per 10,000
0 dialect per 10,000
takkin
11 author per 10,000
2 dialect per 10,000
codlin
11 author per 10,000
0 dialect per 10,000
by
11 author per 10,000
7 dialect per 10,000
big
11 author per 10,000
3 dialect per 10,000
runnin
11 author per 10,000
2 dialect per 10,000
swell
11 author per 10,000
0 dialect per 10,000
wasterly
11 author per 10,000
0 dialect per 10,000
joost
11 author per 10,000
5 dialect per 10,000
bulderation
11 author per 10,000
0 dialect per 10,000
jamsie's
11 author per 10,000
0 dialect per 10,000
banks
11 author per 10,000
2 dialect per 10,000
in-anunder
11 author per 10,000
0 dialect per 10,000
skiff
11 author per 10,000
0 dialect per 10,000
room
11 author per 10,000
2 dialect per 10,000
some
11 author per 10,000
13 dialect per 10,000
skitterin
11 author per 10,000
0 dialect per 10,000
tree
11 author per 10,000
7 dialect per 10,000
got
11 author per 10,000
8 dialect per 10,000
creels
11 author per 10,000
0 dialect per 10,000
sixteen
11 author per 10,000
0 dialect per 10,000
abune
11 author per 10,000
0 dialect per 10,000
noosts
11 author per 10,000
0 dialect per 10,000
wir
11 author per 10,000
50 dialect per 10,000
ream-calm
11 author per 10,000
0 dialect per 10,000
tap
11 author per 10,000
2 dialect per 10,000
nineteen
11 author per 10,000
0 dialect per 10,000
fish
11 author per 10,000
2 dialect per 10,000
february
11 author per 10,000
0 dialect per 10,000
fifty
11 author per 10,000
0 dialect per 10,000
fower
11 author per 10,000
3 dialect per 10,000
brim
11 author per 10,000
0 dialect per 10,000
nor-wasterd
11 author per 10,000
0 dialect per 10,000
settin
11 author per 10,000
1 dialect per 10,000
story
11 author per 10,000
3 dialect per 10,000
strampin
11 author per 10,000
0 dialect per 10,000
held
11 author per 10,000
2 dialect per 10,000
Orkney
da
1013 author per 10,000
0 dialect per 10,000
an
426 author per 10,000
172 dialect per 10,000
o
245 author per 10,000
202 dialect per 10,000
a
235 author per 10,000
298 dialect per 10,000
his
160 author per 10,000
61 dialect per 10,000
wis
128 author per 10,000
80 dialect per 10,000
wi
128 author per 10,000
46 dialect per 10,000
in
117 author per 10,000
146 dialect per 10,000
dey
107 author per 10,000
0 dialect per 10,000
fur
107 author per 10,000
49 dialect per 10,000
ower
96 author per 10,000
18 dialect per 10,000
tae
96 author per 10,000
223 dialect per 10,000
on
85 author per 10,000
73 dialect per 10,000
he
85 author per 10,000
85 dialect per 10,000
up
75 author per 10,000
34 dialect per 10,000
oot
75 author per 10,000
50 dialect per 10,000
aff
75 author per 10,000
8 dialect per 10,000
willie
75 author per 10,000
0 dialect per 10,000
dat
75 author per 10,000
0 dialect per 10,000
i
64 author per 10,000
158 dialect per 10,000
hit
64 author per 10,000
1 dialect per 10,000
ta
64 author per 10,000
0 dialect per 10,000
muckle
64 author per 10,000
6 dialect per 10,000
her
64 author per 10,000
49 dialect per 10,000
as
53 author per 10,000
48 dialect per 10,000
we
53 author per 10,000
29 dialect per 10,000
sea
53 author per 10,000
8 dialect per 10,000
dir
53 author per 10,000
0 dialect per 10,000
wirkin
43 author per 10,000
0 dialect per 10,000
tide
43 author per 10,000
2 dialect per 10,000
yun
43 author per 10,000
0 dialect per 10,000
aw
43 author per 10,000
0 dialect per 10,000
cam
43 author per 10,000
8 dialect per 10,000
lang
43 author per 10,000
1 dialect per 10,000
set
43 author per 10,000
6 dialect per 10,000
sail
43 author per 10,000
1 dialect per 10,000
fae
43 author per 10,000
39 dialect per 10,000
wid
43 author per 10,000
20 dialect per 10,000
day
43 author per 10,000
20 dialect per 10,000
du
43 author per 10,000
0 dialect per 10,000
wan
32 author per 10,000
22 dialect per 10,000
sam
32 author per 10,000
4 dialect per 10,000
wadder
32 author per 10,000
0 dialect per 10,000
baa
32 author per 10,000
0 dialect per 10,000
shu
32 author per 10,000
0 dialect per 10,000
licht
32 author per 10,000
0 dialect per 10,000
wey
32 author per 10,000
10 dialect per 10,000
johnnie
32 author per 10,000
0 dialect per 10,000
wind
32 author per 10,000
6 dialect per 10,000
twa
32 author per 10,000
10 dialect per 10,000
heid
32 author per 10,000
5 dialect per 10,000
roond
32 author per 10,000
11 dialect per 10,000
be
32 author per 10,000
42 dialect per 10,000
€™s
32 author per 10,000
17 dialect per 10,000
mind
32 author per 10,000
9 dialect per 10,000
beach
32 author per 10,000
1 dialect per 10,000
richt
32 author per 10,000
0 dialect per 10,000
anne
32 author per 10,000
0 dialect per 10,000
waves
32 author per 10,000
2 dialect per 10,000
lik
32 author per 10,000
0 dialect per 10,000
charlotte
32 author per 10,000
0 dialect per 10,000
whin
32 author per 10,000
6 dialect per 10,000
een
21 author per 10,000
4 dialect per 10,000
could
21 author per 10,000
13 dialect per 10,000
trowe
21 author per 10,000
0 dialect per 10,000
boats
21 author per 10,000
1 dialect per 10,000
feet
21 author per 10,000
5 dialect per 10,000
feelin
21 author per 10,000
0 dialect per 10,000
wheelhouse
21 author per 10,000
0 dialect per 10,000
sailed
21 author per 10,000
0 dialect per 10,000
dem
21 author per 10,000
0 dialect per 10,000
micht
21 author per 10,000
0 dialect per 10,000
dan
21 author per 10,000
0 dialect per 10,000
convoys
21 author per 10,000
0 dialect per 10,000
itill
21 author per 10,000
0 dialect per 10,000
cowld
21 author per 10,000
4 dialect per 10,000
him
21 author per 10,000
21 dialect per 10,000
aa
21 author per 10,000
8 dialect per 10,000
you
21 author per 10,000
35 dialect per 10,000
creel
21 author per 10,000
0 dialect per 10,000
hed
21 author per 10,000
1 dialect per 10,000
dis
21 author per 10,000
2 dialect per 10,000
come
21 author per 10,000
11 dialect per 10,000
gale
21 author per 10,000
1 dialect per 10,000
afore
21 author per 10,000
12 dialect per 10,000
herd
21 author per 10,000
2 dialect per 10,000
saw
21 author per 10,000
1 dialect per 10,000
let
21 author per 10,000
3 dialect per 10,000
no
21 author per 10,000
58 dialect per 10,000
voice
21 author per 10,000
2 dialect per 10,000
how
21 author per 10,000
1 dialect per 10,000
doon
21 author per 10,000
28 dialect per 10,000
taes
21 author per 10,000
0 dialect per 10,000
dere
21 author per 10,000
0 dialect per 10,000
hailed
21 author per 10,000
0 dialect per 10,000
back
21 author per 10,000
26 dialect per 10,000
peerie
21 author per 10,000
0 dialect per 10,000
stroods
21 author per 10,000
0 dialect per 10,000
warm
21 author per 10,000
4 dialect per 10,000
sees
21 author per 10,000
1 dialect per 10,000
lobsters
21 author per 10,000
0 dialect per 10,000
point
21 author per 10,000
1 dialect per 10,000
nae
21 author per 10,000
3 dialect per 10,000
ida
21 author per 10,000
0 dialect per 10,000
skipper
21 author per 10,000
0 dialect per 10,000
jamsie
21 author per 10,000
0 dialect per 10,000
darkenin
21 author per 10,000
0 dialect per 10,000
white
21 author per 10,000
5 dialect per 10,000
boy
21 author per 10,000
4 dialect per 10,000
fell
21 author per 10,000
1 dialect per 10,000
naa
21 author per 10,000
1 dialect per 10,000
filt
21 author per 10,000
0 dialect per 10,000
boys
21 author per 10,000
2 dialect per 10,000
said
21 author per 10,000
15 dialect per 10,000
waitin
21 author per 10,000
0 dialect per 10,000
geordie
21 author per 10,000
0 dialect per 10,000
turn
21 author per 10,000
4 dialect per 10,000
foula
11 author per 10,000
0 dialect per 10,000
burrafirth
11 author per 10,000
0 dialect per 10,000
lyin
11 author per 10,000
0 dialect per 10,000
haar
11 author per 10,000
0 dialect per 10,000
likly
11 author per 10,000
0 dialect per 10,000
see
11 author per 10,000
17 dialect per 10,000
tumbled
11 author per 10,000
0 dialect per 10,000
syne
11 author per 10,000
0 dialect per 10,000
year
11 author per 10,000
7 dialect per 10,000
mony
11 author per 10,000
1 dialect per 10,000
ran
11 author per 10,000
1 dialect per 10,000
high
11 author per 10,000
4 dialect per 10,000
stane
11 author per 10,000
0 dialect per 10,000
mark
11 author per 10,000
1 dialect per 10,000
watter
11 author per 10,000
4 dialect per 10,000
broo
11 author per 10,000
0 dialect per 10,000
tow
11 author per 10,000
0 dialect per 10,000
smokit
11 author per 10,000
0 dialect per 10,000
lee
11 author per 10,000
1 dialect per 10,000
staandin
11 author per 10,000
0 dialect per 10,000
wiecht
11 author per 10,000
0 dialect per 10,000
fags
11 author per 10,000
0 dialect per 10,000
swappit
11 author per 10,000
0 dialect per 10,000
tell
11 author per 10,000
6 dialect per 10,000
frame
11 author per 10,000
0 dialect per 10,000
if
11 author per 10,000
15 dialect per 10,000
yarns
11 author per 10,000
0 dialect per 10,000
groon
11 author per 10,000
0 dialect per 10,000
hear
11 author per 10,000
4 dialect per 10,000
goes
11 author per 10,000
2 dialect per 10,000
shut
11 author per 10,000
1 dialect per 10,000
flat
11 author per 10,000
1 dialect per 10,000
so
11 author per 10,000
30 dialect per 10,000
voe
11 author per 10,000
0 dialect per 10,000
engine
11 author per 10,000
1 dialect per 10,000
cappit
11 author per 10,000
0 dialect per 10,000
peester
11 author per 10,000
0 dialect per 10,000
hadna
11 author per 10,000
0 dialect per 10,000
ebb
11 author per 10,000
2 dialect per 10,000
twal
11 author per 10,000
0 dialect per 10,000
is
11 author per 10,000
71 dialect per 10,000
whaar
11 author per 10,000
2 dialect per 10,000
yunder
11 author per 10,000
0 dialect per 10,000
yes
11 author per 10,000
1 dialect per 10,000
brakkin
11 author per 10,000
0 dialect per 10,000
bridders
11 author per 10,000
0 dialect per 10,000
lipperin
11 author per 10,000
0 dialect per 10,000
takkin
11 author per 10,000
0 dialect per 10,000
codlin
11 author per 10,000
0 dialect per 10,000
by
11 author per 10,000
16 dialect per 10,000
big
11 author per 10,000
7 dialect per 10,000
runnin
11 author per 10,000
0 dialect per 10,000
swell
11 author per 10,000
0 dialect per 10,000
wasterly
11 author per 10,000
0 dialect per 10,000
joost
11 author per 10,000
1 dialect per 10,000
bulderation
11 author per 10,000
0 dialect per 10,000
jamsie's
11 author per 10,000
0 dialect per 10,000
banks
11 author per 10,000
3 dialect per 10,000
in-anunder
11 author per 10,000
0 dialect per 10,000
skiff
11 author per 10,000
0 dialect per 10,000
room
11 author per 10,000
2 dialect per 10,000
some
11 author per 10,000
17 dialect per 10,000
skitterin
11 author per 10,000
0 dialect per 10,000
tree
11 author per 10,000
1 dialect per 10,000
got
11 author per 10,000
11 dialect per 10,000
creels
11 author per 10,000
0 dialect per 10,000
sixteen
11 author per 10,000
0 dialect per 10,000
abune
11 author per 10,000
1 dialect per 10,000
noosts
11 author per 10,000
0 dialect per 10,000
wir
11 author per 10,000
27 dialect per 10,000
ream-calm
11 author per 10,000
0 dialect per 10,000
tap
11 author per 10,000
2 dialect per 10,000
nineteen
11 author per 10,000
0 dialect per 10,000
fish
11 author per 10,000
1 dialect per 10,000
february
11 author per 10,000
0 dialect per 10,000
fifty
11 author per 10,000
0 dialect per 10,000
fower
11 author per 10,000
2 dialect per 10,000
brim
11 author per 10,000
0 dialect per 10,000
nor-wasterd
11 author per 10,000
0 dialect per 10,000
settin
11 author per 10,000
0 dialect per 10,000
story
11 author per 10,000
2 dialect per 10,000
strampin
11 author per 10,000
0 dialect per 10,000
held
11 author per 10,000
1 dialect per 10,000
Southern
da
1013 author per 10,000
0 dialect per 10,000
an
426 author per 10,000
289 dialect per 10,000
o
245 author per 10,000
200 dialect per 10,000
a
235 author per 10,000
230 dialect per 10,000
his
160 author per 10,000
37 dialect per 10,000
wis
128 author per 10,000
54 dialect per 10,000
wi
128 author per 10,000
66 dialect per 10,000
in
117 author per 10,000
107 dialect per 10,000
dey
107 author per 10,000
0 dialect per 10,000
fur
107 author per 10,000
42 dialect per 10,000
ower
96 author per 10,000
13 dialect per 10,000
tae
96 author per 10,000
206 dialect per 10,000
on
85 author per 10,000
55 dialect per 10,000
he
85 author per 10,000
12 dialect per 10,000
up
75 author per 10,000
41 dialect per 10,000
oot
75 author per 10,000
34 dialect per 10,000
aff
75 author per 10,000
4 dialect per 10,000
willie
75 author per 10,000
0 dialect per 10,000
dat
75 author per 10,000
0 dialect per 10,000
i
64 author per 10,000
74 dialect per 10,000
hit
64 author per 10,000
1 dialect per 10,000
ta
64 author per 10,000
0 dialect per 10,000
muckle
64 author per 10,000
6 dialect per 10,000
her
64 author per 10,000
17 dialect per 10,000
as
53 author per 10,000
50 dialect per 10,000
we
53 author per 10,000
10 dialect per 10,000
sea
53 author per 10,000
3 dialect per 10,000
dir
53 author per 10,000
0 dialect per 10,000
wirkin
43 author per 10,000
0 dialect per 10,000
tide
43 author per 10,000
0 dialect per 10,000
yun
43 author per 10,000
0 dialect per 10,000
aw
43 author per 10,000
32 dialect per 10,000
cam
43 author per 10,000
3 dialect per 10,000
lang
43 author per 10,000
12 dialect per 10,000
set
43 author per 10,000
4 dialect per 10,000
sail
43 author per 10,000
0 dialect per 10,000
fae
43 author per 10,000
0 dialect per 10,000
wid
43 author per 10,000
1 dialect per 10,000
day
43 author per 10,000
17 dialect per 10,000
du
43 author per 10,000
0 dialect per 10,000
wan
32 author per 10,000
0 dialect per 10,000
sam
32 author per 10,000
0 dialect per 10,000
wadder
32 author per 10,000
0 dialect per 10,000
baa
32 author per 10,000
0 dialect per 10,000
shu
32 author per 10,000
0 dialect per 10,000
licht
32 author per 10,000
2 dialect per 10,000
wey
32 author per 10,000
3 dialect per 10,000
johnnie
32 author per 10,000
0 dialect per 10,000
wind
32 author per 10,000
1 dialect per 10,000
twa
32 author per 10,000
2 dialect per 10,000
heid
32 author per 10,000
16 dialect per 10,000
roond
32 author per 10,000
9 dialect per 10,000
be
32 author per 10,000
13 dialect per 10,000
€™s
32 author per 10,000
34 dialect per 10,000
mind
32 author per 10,000
8 dialect per 10,000
beach
32 author per 10,000
0 dialect per 10,000
richt
32 author per 10,000
18 dialect per 10,000
anne
32 author per 10,000
0 dialect per 10,000
waves
32 author per 10,000
0 dialect per 10,000
lik
32 author per 10,000
16 dialect per 10,000
charlotte
32 author per 10,000
0 dialect per 10,000
whin
32 author per 10,000
0 dialect per 10,000
een
21 author per 10,000
2 dialect per 10,000
could
21 author per 10,000
13 dialect per 10,000
trowe
21 author per 10,000
0 dialect per 10,000
boats
21 author per 10,000
0 dialect per 10,000
feet
21 author per 10,000
3 dialect per 10,000
feelin
21 author per 10,000
1 dialect per 10,000
wheelhouse
21 author per 10,000
0 dialect per 10,000
sailed
21 author per 10,000
0 dialect per 10,000
dem
21 author per 10,000
0 dialect per 10,000
micht
21 author per 10,000
9 dialect per 10,000
dan
21 author per 10,000
0 dialect per 10,000
convoys
21 author per 10,000
0 dialect per 10,000
itill
21 author per 10,000
0 dialect per 10,000
cowld
21 author per 10,000
0 dialect per 10,000
him
21 author per 10,000
11 dialect per 10,000
aa
21 author per 10,000
10 dialect per 10,000
you
21 author per 10,000
3 dialect per 10,000
creel
21 author per 10,000
0 dialect per 10,000
hed
21 author per 10,000
34 dialect per 10,000
dis
21 author per 10,000
2 dialect per 10,000
come
21 author per 10,000
9 dialect per 10,000
gale
21 author per 10,000
0 dialect per 10,000
afore
21 author per 10,000
16 dialect per 10,000
herd
21 author per 10,000
5 dialect per 10,000
saw
21 author per 10,000
3 dialect per 10,000
let
21 author per 10,000
3 dialect per 10,000
no
21 author per 10,000
28 dialect per 10,000
voice
21 author per 10,000
8 dialect per 10,000
how
21 author per 10,000
10 dialect per 10,000
doon
21 author per 10,000
24 dialect per 10,000
taes
21 author per 10,000
0 dialect per 10,000
dere
21 author per 10,000
0 dialect per 10,000
hailed
21 author per 10,000
0 dialect per 10,000
back
21 author per 10,000
19 dialect per 10,000
peerie
21 author per 10,000
0 dialect per 10,000
stroods
21 author per 10,000
0 dialect per 10,000
warm
21 author per 10,000
1 dialect per 10,000
sees
21 author per 10,000
0 dialect per 10,000
lobsters
21 author per 10,000
1 dialect per 10,000
point
21 author per 10,000
0 dialect per 10,000
nae
21 author per 10,000
25 dialect per 10,000
ida
21 author per 10,000
0 dialect per 10,000
skipper
21 author per 10,000
0 dialect per 10,000
jamsie
21 author per 10,000
0 dialect per 10,000
darkenin
21 author per 10,000
0 dialect per 10,000
white
21 author per 10,000
6 dialect per 10,000
boy
21 author per 10,000
0 dialect per 10,000
fell
21 author per 10,000
3 dialect per 10,000
naa
21 author per 10,000
0 dialect per 10,000
filt
21 author per 10,000
0 dialect per 10,000
boys
21 author per 10,000
0 dialect per 10,000
said
21 author per 10,000
65 dialect per 10,000
waitin
21 author per 10,000
2 dialect per 10,000
geordie
21 author per 10,000
2 dialect per 10,000
turn
21 author per 10,000
3 dialect per 10,000
foula
11 author per 10,000
0 dialect per 10,000
burrafirth
11 author per 10,000
0 dialect per 10,000
lyin
11 author per 10,000
2 dialect per 10,000
haar
11 author per 10,000
0 dialect per 10,000
likly
11 author per 10,000
0 dialect per 10,000
see
11 author per 10,000
5 dialect per 10,000
tumbled
11 author per 10,000
0 dialect per 10,000
syne
11 author per 10,000
5 dialect per 10,000
year
11 author per 10,000
5 dialect per 10,000
mony
11 author per 10,000
3 dialect per 10,000
ran
11 author per 10,000
1 dialect per 10,000
high
11 author per 10,000
6 dialect per 10,000
stane
11 author per 10,000
3 dialect per 10,000
mark
11 author per 10,000
1 dialect per 10,000
watter
11 author per 10,000
1 dialect per 10,000
broo
11 author per 10,000
0 dialect per 10,000
tow
11 author per 10,000
0 dialect per 10,000
smokit
11 author per 10,000
0 dialect per 10,000
lee
11 author per 10,000
0 dialect per 10,000
staandin
11 author per 10,000
0 dialect per 10,000
wiecht
11 author per 10,000
0 dialect per 10,000
fags
11 author per 10,000
0 dialect per 10,000
swappit
11 author per 10,000
0 dialect per 10,000
tell
11 author per 10,000
9 dialect per 10,000
frame
11 author per 10,000
0 dialect per 10,000
if
11 author per 10,000
17 dialect per 10,000
yarns
11 author per 10,000
0 dialect per 10,000
groon
11 author per 10,000
0 dialect per 10,000
hear
11 author per 10,000
5 dialect per 10,000
goes
11 author per 10,000
0 dialect per 10,000
shut
11 author per 10,000
1 dialect per 10,000
flat
11 author per 10,000
1 dialect per 10,000
so
11 author per 10,000
3 dialect per 10,000
voe
11 author per 10,000
0 dialect per 10,000
engine
11 author per 10,000
0 dialect per 10,000
cappit
11 author per 10,000
0 dialect per 10,000
peester
11 author per 10,000
0 dialect per 10,000
hadna
11 author per 10,000
0 dialect per 10,000
ebb
11 author per 10,000
0 dialect per 10,000
twal
11 author per 10,000
0 dialect per 10,000
is
11 author per 10,000
62 dialect per 10,000
whaar
11 author per 10,000
0 dialect per 10,000
yunder
11 author per 10,000
0 dialect per 10,000
yes
11 author per 10,000
0 dialect per 10,000
brakkin
11 author per 10,000
0 dialect per 10,000
bridders
11 author per 10,000
0 dialect per 10,000
lipperin
11 author per 10,000
0 dialect per 10,000
takkin
11 author per 10,000
1 dialect per 10,000
codlin
11 author per 10,000
0 dialect per 10,000
by
11 author per 10,000
5 dialect per 10,000
big
11 author per 10,000
5 dialect per 10,000
runnin
11 author per 10,000
0 dialect per 10,000
swell
11 author per 10,000
0 dialect per 10,000
wasterly
11 author per 10,000
0 dialect per 10,000
joost
11 author per 10,000
0 dialect per 10,000
bulderation
11 author per 10,000
0 dialect per 10,000
jamsie's
11 author per 10,000
0 dialect per 10,000
banks
11 author per 10,000
0 dialect per 10,000
in-anunder
11 author per 10,000
0 dialect per 10,000
skiff
11 author per 10,000
0 dialect per 10,000
room
11 author per 10,000
3 dialect per 10,000
some
11 author per 10,000
12 dialect per 10,000
skitterin
11 author per 10,000
0 dialect per 10,000
tree
11 author per 10,000
2 dialect per 10,000
got
11 author per 10,000
10 dialect per 10,000
creels
11 author per 10,000
0 dialect per 10,000
sixteen
11 author per 10,000
0 dialect per 10,000
abune
11 author per 10,000
0 dialect per 10,000
noosts
11 author per 10,000
0 dialect per 10,000
wir
11 author per 10,000
1 dialect per 10,000
ream-calm
11 author per 10,000
0 dialect per 10,000
tap
11 author per 10,000
2 dialect per 10,000
nineteen
11 author per 10,000
0 dialect per 10,000
fish
11 author per 10,000
2 dialect per 10,000
february
11 author per 10,000
0 dialect per 10,000
fifty
11 author per 10,000
0 dialect per 10,000
fower
11 author per 10,000
1 dialect per 10,000
brim
11 author per 10,000
0 dialect per 10,000
nor-wasterd
11 author per 10,000
0 dialect per 10,000
settin
11 author per 10,000
1 dialect per 10,000
story
11 author per 10,000
3 dialect per 10,000
strampin
11 author per 10,000
0 dialect per 10,000
held
11 author per 10,000
1 dialect per 10,000
Ulster
da
1013 author per 10,000
2 dialect per 10,000
an
426 author per 10,000
358 dialect per 10,000
o
245 author per 10,000
208 dialect per 10,000
a
235 author per 10,000
287 dialect per 10,000
his
160 author per 10,000
25 dialect per 10,000
wis
128 author per 10,000
1 dialect per 10,000
wi
128 author per 10,000
63 dialect per 10,000
in
117 author per 10,000
121 dialect per 10,000
dey
107 author per 10,000
0 dialect per 10,000
fur
107 author per 10,000
48 dialect per 10,000
ower
96 author per 10,000
18 dialect per 10,000
tae
96 author per 10,000
253 dialect per 10,000
on
85 author per 10,000
57 dialect per 10,000
he
85 author per 10,000
62 dialect per 10,000
up
75 author per 10,000
32 dialect per 10,000
oot
75 author per 10,000
49 dialect per 10,000
aff
75 author per 10,000
14 dialect per 10,000
willie
75 author per 10,000
0 dialect per 10,000
dat
75 author per 10,000
0 dialect per 10,000
i
64 author per 10,000
16 dialect per 10,000
hit
64 author per 10,000
9 dialect per 10,000
ta
64 author per 10,000
0 dialect per 10,000
muckle
64 author per 10,000
2 dialect per 10,000
her
64 author per 10,000
8 dialect per 10,000
as
53 author per 10,000
31 dialect per 10,000
we
53 author per 10,000
18 dialect per 10,000
sea
53 author per 10,000
2 dialect per 10,000
dir
53 author per 10,000
0 dialect per 10,000
wirkin
43 author per 10,000
0 dialect per 10,000
tide
43 author per 10,000
1 dialect per 10,000
yun
43 author per 10,000
0 dialect per 10,000
aw
43 author per 10,000
1 dialect per 10,000
cam
43 author per 10,000
0 dialect per 10,000
lang
43 author per 10,000
12 dialect per 10,000
set
43 author per 10,000
6 dialect per 10,000
sail
43 author per 10,000
0 dialect per 10,000
fae
43 author per 10,000
13 dialect per 10,000
wid
43 author per 10,000
1 dialect per 10,000
day
43 author per 10,000
15 dialect per 10,000
du
43 author per 10,000
0 dialect per 10,000
wan
32 author per 10,000
0 dialect per 10,000
sam
32 author per 10,000
1 dialect per 10,000
wadder
32 author per 10,000
0 dialect per 10,000
baa
32 author per 10,000
0 dialect per 10,000
shu
32 author per 10,000
0 dialect per 10,000
licht
32 author per 10,000
5 dialect per 10,000
wey
32 author per 10,000
0 dialect per 10,000
johnnie
32 author per 10,000
0 dialect per 10,000
wind
32 author per 10,000
0 dialect per 10,000
twa
32 author per 10,000
11 dialect per 10,000
heid
32 author per 10,000
12 dialect per 10,000
roond
32 author per 10,000
1 dialect per 10,000
be
32 author per 10,000
39 dialect per 10,000
€™s
32 author per 10,000
11 dialect per 10,000
mind
32 author per 10,000
2 dialect per 10,000
beach
32 author per 10,000
0 dialect per 10,000
richt
32 author per 10,000
13 dialect per 10,000
anne
32 author per 10,000
0 dialect per 10,000
waves
32 author per 10,000
0 dialect per 10,000
lik
32 author per 10,000
7 dialect per 10,000
charlotte
32 author per 10,000
0 dialect per 10,000
whin
32 author per 10,000
6 dialect per 10,000
een
21 author per 10,000
8 dialect per 10,000
could
21 author per 10,000
1 dialect per 10,000
trowe
21 author per 10,000
0 dialect per 10,000
boats
21 author per 10,000
0 dialect per 10,000
feet
21 author per 10,000
4 dialect per 10,000
feelin
21 author per 10,000
1 dialect per 10,000
wheelhouse
21 author per 10,000
0 dialect per 10,000
sailed
21 author per 10,000
0 dialect per 10,000
dem
21 author per 10,000
0 dialect per 10,000
micht
21 author per 10,000
6 dialect per 10,000
dan
21 author per 10,000
1 dialect per 10,000
convoys
21 author per 10,000
0 dialect per 10,000
itill
21 author per 10,000
0 dialect per 10,000
cowld
21 author per 10,000
0 dialect per 10,000
him
21 author per 10,000
11 dialect per 10,000
aa
21 author per 10,000
41 dialect per 10,000
you
21 author per 10,000
5 dialect per 10,000
creel
21 author per 10,000
0 dialect per 10,000
hed
21 author per 10,000
1 dialect per 10,000
dis
21 author per 10,000
0 dialect per 10,000
come
21 author per 10,000
10 dialect per 10,000
gale
21 author per 10,000
0 dialect per 10,000
afore
21 author per 10,000
12 dialect per 10,000
herd
21 author per 10,000
0 dialect per 10,000
saw
21 author per 10,000
1 dialect per 10,000
let
21 author per 10,000
5 dialect per 10,000
no
21 author per 10,000
22 dialect per 10,000
voice
21 author per 10,000
5 dialect per 10,000
how
21 author per 10,000
1 dialect per 10,000
doon
21 author per 10,000
28 dialect per 10,000
taes
21 author per 10,000
0 dialect per 10,000
dere
21 author per 10,000
0 dialect per 10,000
hailed
21 author per 10,000
0 dialect per 10,000
back
21 author per 10,000
2 dialect per 10,000
peerie
21 author per 10,000
0 dialect per 10,000
stroods
21 author per 10,000
0 dialect per 10,000
warm
21 author per 10,000
0 dialect per 10,000
sees
21 author per 10,000
0 dialect per 10,000
lobsters
21 author per 10,000
0 dialect per 10,000
point
21 author per 10,000
1 dialect per 10,000
nae
21 author per 10,000
22 dialect per 10,000
ida
21 author per 10,000
0 dialect per 10,000
skipper
21 author per 10,000
0 dialect per 10,000
jamsie
21 author per 10,000
0 dialect per 10,000
darkenin
21 author per 10,000
0 dialect per 10,000
white
21 author per 10,000
4 dialect per 10,000
boy
21 author per 10,000
2 dialect per 10,000
fell
21 author per 10,000
1 dialect per 10,000
naa
21 author per 10,000
0 dialect per 10,000
filt
21 author per 10,000
0 dialect per 10,000
boys
21 author per 10,000
3 dialect per 10,000
said
21 author per 10,000
32 dialect per 10,000
waitin
21 author per 10,000
2 dialect per 10,000
geordie
21 author per 10,000
0 dialect per 10,000
turn
21 author per 10,000
3 dialect per 10,000
foula
11 author per 10,000
0 dialect per 10,000
burrafirth
11 author per 10,000
0 dialect per 10,000
lyin
11 author per 10,000
1 dialect per 10,000
haar
11 author per 10,000
0 dialect per 10,000
likly
11 author per 10,000
0 dialect per 10,000
see
11 author per 10,000
16 dialect per 10,000
tumbled
11 author per 10,000
0 dialect per 10,000
syne
11 author per 10,000
1 dialect per 10,000
year
11 author per 10,000
2 dialect per 10,000
mony
11 author per 10,000
1 dialect per 10,000
ran
11 author per 10,000
0 dialect per 10,000
high
11 author per 10,000
1 dialect per 10,000
stane
11 author per 10,000
3 dialect per 10,000
mark
11 author per 10,000
0 dialect per 10,000
watter
11 author per 10,000
4 dialect per 10,000
broo
11 author per 10,000
0 dialect per 10,000
tow
11 author per 10,000
0 dialect per 10,000
smokit
11 author per 10,000
0 dialect per 10,000
lee
11 author per 10,000
1 dialect per 10,000
staandin
11 author per 10,000
0 dialect per 10,000
wiecht
11 author per 10,000
0 dialect per 10,000
fags
11 author per 10,000
0 dialect per 10,000
swappit
11 author per 10,000
0 dialect per 10,000
tell
11 author per 10,000
10 dialect per 10,000
frame
11 author per 10,000
0 dialect per 10,000
if
11 author per 10,000
14 dialect per 10,000
yarns
11 author per 10,000
1 dialect per 10,000
groon
11 author per 10,000
0 dialect per 10,000
hear
11 author per 10,000
5 dialect per 10,000
goes
11 author per 10,000
0 dialect per 10,000
shut
11 author per 10,000
1 dialect per 10,000
flat
11 author per 10,000
0 dialect per 10,000
so
11 author per 10,000
5 dialect per 10,000
voe
11 author per 10,000
0 dialect per 10,000
engine
11 author per 10,000
0 dialect per 10,000
cappit
11 author per 10,000
0 dialect per 10,000
peester
11 author per 10,000
0 dialect per 10,000
hadna
11 author per 10,000
0 dialect per 10,000
ebb
11 author per 10,000
0 dialect per 10,000
twal
11 author per 10,000
1 dialect per 10,000
is
11 author per 10,000
18 dialect per 10,000
whaar
11 author per 10,000
0 dialect per 10,000
yunder
11 author per 10,000
0 dialect per 10,000
yes
11 author per 10,000
0 dialect per 10,000
brakkin
11 author per 10,000
0 dialect per 10,000
bridders
11 author per 10,000
0 dialect per 10,000
lipperin
11 author per 10,000
0 dialect per 10,000
takkin
11 author per 10,000
3 dialect per 10,000
codlin
11 author per 10,000
0 dialect per 10,000
by
11 author per 10,000
7 dialect per 10,000
big
11 author per 10,000
8 dialect per 10,000
runnin
11 author per 10,000
0 dialect per 10,000
swell
11 author per 10,000
0 dialect per 10,000
wasterly
11 author per 10,000
0 dialect per 10,000
joost
11 author per 10,000
0 dialect per 10,000
bulderation
11 author per 10,000
0 dialect per 10,000
jamsie's
11 author per 10,000
0 dialect per 10,000
banks
11 author per 10,000
0 dialect per 10,000
in-anunder
11 author per 10,000
0 dialect per 10,000
skiff
11 author per 10,000
0 dialect per 10,000
room
11 author per 10,000
1 dialect per 10,000
some
11 author per 10,000
7 dialect per 10,000
skitterin
11 author per 10,000
0 dialect per 10,000
tree
11 author per 10,000
2 dialect per 10,000
got
11 author per 10,000
9 dialect per 10,000
creels
11 author per 10,000
0 dialect per 10,000
sixteen
11 author per 10,000
0 dialect per 10,000
abune
11 author per 10,000
0 dialect per 10,000
noosts
11 author per 10,000
0 dialect per 10,000
wir
11 author per 10,000
1 dialect per 10,000
ream-calm
11 author per 10,000
0 dialect per 10,000
tap
11 author per 10,000
2 dialect per 10,000
nineteen
11 author per 10,000
0 dialect per 10,000
fish
11 author per 10,000
1 dialect per 10,000
february
11 author per 10,000
0 dialect per 10,000
fifty
11 author per 10,000
0 dialect per 10,000
fower
11 author per 10,000
2 dialect per 10,000
brim
11 author per 10,000
0 dialect per 10,000
nor-wasterd
11 author per 10,000
0 dialect per 10,000
settin
11 author per 10,000
1 dialect per 10,000
story
11 author per 10,000
2 dialect per 10,000
strampin
11 author per 10,000
0 dialect per 10,000
held
11 author per 10,000
1 dialect per 10,000