A Corpus of 21st Century Scots Texts

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@Julie_Dennison details

Total words by this tweeter in corpus - 2,620
Total unique words used by this tweeter in corpus - 978
Ratio of total words to unique words - 2.679
Tweets in Shetland
Top ten most common words - da, i, a, an, in, dis, ta, am, is, it,

Most often replies to: @KirsteenMullay, @tattooedselkie, @matthewjooooo, @helen_dennison, @TykitFleine,

WordCount Normalised
per 100,000
da1385267.18
i893396.95
a803053.44
an672557.25
in381450.38
dis371412.21
ta361374.05
am321221.37
is301145.04
it301145.04
my301145.04
wis281068.7
at271030.53
o26992.37
on26992.37
fir25954.2
me25954.2
dat24916.03
no19725.19
when19725.19
but17648.85
up16610.69
wi16610.69
wir15572.52
you15572.52
daday14534.35
be14534.35
lik13496.18
just13496.18
been13496.18
dir12458.02
dey12458.02
time12458.02
the12458.02
as11419.85
noo11419.85
all11419.85
keen10381.68
first10381.68
aboot10381.68
whit10381.68
so10381.68
shetland9343.51
if9343.51
to9343.51
day9343.51
new8305.34
aff8305.34
got8305.34
tae8305.34
only8305.34
wark8305.34
and8305.34
we8305.34
by7267.18
not7267.18
road7267.18
do7267.18
still7267.18
peerie7267.18
can7267.18
hed7267.18
tink6229.01
oot6229.01
year6229.01
here6229.01
towt6229.01
eens6229.01
hiv6229.01
git6229.01
wid6229.01
it's6229.01
week6229.01
afore6229.01
gotten6229.01
good6229.01
will6229.01
it’s6229.01
wan6229.01
ir5190.84
u5190.84
has5190.84
could5190.84
of5190.84
how5190.84
sam5190.84
he5190.84
dat’s5190.84
ya5190.84
mam5190.84
fae5190.84
place5190.84
weel5190.84
ago5190.84
ever5190.84
goin5190.84
car4152.67
since4152.67
back4152.67
mysel4152.67
see4152.67
every4152.67
game4152.67
said4152.67
any4152.67
phone4152.67
thing4152.67
shop4152.67
roe4152.67
for4152.67
us4152.67
even4152.67
tell4152.67
troo4152.67
til4152.67
canna4152.67
she3114.5
seconds3114.5
bit3114.5
go3114.5
doot3114.5
look3114.5
neep3114.5
eftir3114.5
seein3114.5
ma3114.5
old3114.5
pair3114.5
gittin3114.5
ad3114.5
doin3114.5
runnin3114.5
white3114.5
did3114.5
tried3114.5
or3114.5
dusna3114.5
mind3114.5
online3114.5
cars3114.5
eenoo3114.5
usually3114.5
cd3114.5
couldna3114.5
ower3114.5
i’ll3114.5
yeah3114.5
lot3114.5
danite3114.5
feel3114.5
duolingo3114.5
oh3114.5
dunna3114.5
sure3114.5
heid3114.5
playin3114.5
believe3114.5
cam3114.5
name3114.5
have3114.5
his3114.5
best3114.5
heard3114.5
yir3114.5
start3114.5
try3114.5
tune276.34
meid276.34
least276.34
arrived276.34
over276.34
daday’s276.34
phones276.34
brought276.34
idder276.34
played276.34
dere276.34
lerook276.34
george276.34
should276.34
tryin276.34
tak276.34
play276.34
skip276.34
then276.34
lights276.34
dan276.34
claes276.34
really276.34
give276.34
laptop276.34
witnessed276.34
granny276.34
weekend276.34
wha276.34
night276.34
effect276.34
longer276.34
spikkin276.34
watchin276.34
den276.34
ahead276.34
iced276.34
readin276.34
probably276.34
wance276.34
again276.34
tea276.34
acnh276.34
nort276.34
impressed276.34
yesterday276.34
last276.34
embroidery276.34
bairns276.34
perfect276.34
hae276.34
sleep276.34
pick276.34
i’m276.34
both276.34
dir’s276.34
hands276.34
cis276.34
point276.34
polo276.34
never276.34
list276.34
knitting276.34
picked276.34
welsh276.34
who276.34
very276.34
minecraft276.34
late276.34
this276.34
pub276.34
excited276.34
meeting276.34
buy276.34
may276.34
bought276.34
irna276.34
march276.34
een276.34
yis276.34
dem276.34
turns276.34
isna276.34
pretty276.34
basically276.34
days276.34
dastreen276.34
two276.34
telt276.34
shot276.34
discovery276.34
birds276.34
monday276.34
x276.34
great276.34
holiday276.34
shoes276.34
some276.34
that276.34
boi276.34
what276.34
too276.34
pairty276.34
wird276.34
job276.34
xx276.34
feels276.34
drivin276.34
already276.34
second276.34
gie276.34
are276.34
friends276.34
news276.34
ur276.34
corona276.34
such276.34
say276.34
right276.34
haha276.34
face276.34
use276.34
snowman276.34
gud276.34
hill276.34
with276.34
pass276.34
axin276.34
certain276.34
everybody276.34
read276.34
wirk276.34