A Corpus of 21st Century Scots Texts

Intro a b c d e f g h i j k l m n o p q r s t u v w x y z Texts Writers Statistics Top200 Search Compare

@_DawnLeslie details

Total words by this tweeter in corpus - 1,175
Total unique words used by this tweeter in corpus - 584
Ratio of total words to unique words - 2.012
Tweets in Doric
Top ten most common words - the, a, in, i, it, of, to, aboot, tae, is,

Most often replies to: @cligeey, @Historic_Ally, @billykayscot, @OorVyce, @RobDrummond,

WordCount Normalised
per 100,000
the453829.79
a383234.04
in221872.34
i221872.34
it201702.13
of181531.91
to181531.91
aboot161361.7
tae131106.38
is121021.28
that11936.17
scots11936.17
an11936.17
me11936.17
for10851.06
as10851.06
and9765.96
my8680.85
you7595.74
though7595.74
ye7595.74
be7595.74
te7595.74
jist7595.74
on7595.74
this6510.64
used6510.64
get6510.64
was6510.64
nae6510.64
at5425.53
by5425.53
if5425.53
wi5425.53
fit5425.53
heard5425.53
aye5425.53
then5425.53
but5425.53
say4340.43
maybe4340.43
that’s4340.43
it’s4340.43
or4340.43
have4340.43
ower4340.43
use4340.43
could4340.43
are4340.43
we4340.43
apparently4340.43
o4340.43
with4340.43
think4340.43
wis4340.43
i’ve4340.43
fir4340.43
ken4340.43
rather3255.32
ne3255.32
than3255.32
aa3255.32
been3255.32
cheers3255.32
just3255.32
like3255.32
heid3255.32
time3255.32
ever3255.32
i’m3255.32
ither3255.32
had3255.32
ony3255.32
do3255.32
nah3255.32
canna3255.32
he’s3255.32
he3255.32
thing3255.32
day3255.32
east3255.32
erse’3255.32
from3255.32
north3255.32
oh3255.32
not2170.21
either2170.21
something2170.21
new2170.21
went2170.21
noo2170.21
you’re2170.21
scotland2170.21
mam2170.21
hae2170.21
bonny2170.21
interesting2170.21
white2170.21
while2170.21
inverurie2170.21
dee2170.21
sound2170.21
best2170.21
kids2170.21
spikkin2170.21
has2170.21
well2170.21
no’2170.21
meaning2170.21
go2170.21
oot2170.21
ma2170.21
mair2170.21
proper2170.21
twitter2170.21
scottish2170.21
voices2170.21
last2170.21
your2170.21
hale2170.21
interestin2170.21
doon2170.21
saying2170.21
ye’d2170.21
fae2170.21
up2170.21
likely2170.21
summer2170.21
she2170.21
them2170.21
they2170.21
her2170.21
back2170.21
plenty2170.21
there’s2170.21
can2170.21
wid2170.21
hard2170.21
someone2170.21
hid2170.21
weans”2170.21
hinnersins’2170.21
fa’s2170.21
pain2170.21
starting2170.21
richt2170.21
done2170.21
us2170.21
i’d2170.21
love2170.21
which2170.21
kirn2170.21
dinna2170.21
pairtly2170.21
his2170.21
some2170.21
spikkers2170.21
great2170.21
gaan2170.21
lovely2170.21
much2170.21
een2170.21
wint2170.21
lang2170.21
spoke2170.21
linguistic2170.21
foundry2170.21
linguistics2170.21
hame2170.21
myself2170.21
ain2170.21
describe2170.21
language2170.21
being2170.21
really2170.21