A Corpus of 21st Century Scots Texts

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Murdoch, Steve

Basic Stats

Total words by this author in corpus - 1,362
Total unique words used by this author in corpus - 515
Ratio of total words to unique words - 2.645
Top ten most common words - the, o, an, a, in, tae, scots, fowk, wes, it,

List of texts in corpus

Schrödinger’s Leid?
Bella Caledonia (2016-Feb-24) in Doric (St Andrews) dialect, categorised as blog (1,362 words)

Author word usage frequencies

WordCount Normalised
per 100,000
the1017415.57
o463377.39
an382790.01
a362643.17
in322349.49
tae282055.8
scots251835.54
fowk191395.01
wes181321.59
it171248.16
at171248.16
scotland13954.48
nae12881.06
fae11807.64
or11807.64
but11807.64
s10734.21
d10734.21
fit10734.21
for9660.79
is9660.79
as9660.79
mair9660.79
this9660.79
they9660.79
we8587.37
ane8587.37
on8587.37
english8587.37
there8587.37
be7513.95
ae7513.95
gros7513.95
nor7513.95
he7513.95
of7513.95
wey7513.95
their6440.53
ilka6440.53
spiert6440.53
telt6440.53
ye6440.53
sae6440.53
she6440.53
gin6440.53
leid6440.53
are6440.53
baith5367.11
near5367.11
spoke5367.11
ma5367.11
afore5367.11
us5367.11
gied5367.11
wi5367.11
ian5367.11
aince5367.11
sic4293.69
spik4293.69
anent4293.69
monie4293.69
chiel4293.69
ve4293.69
bi4293.69
intae4293.69
said4293.69
twa4293.69
tak4293.69
exist4293.69
disnae4293.69
that4293.69
language4293.69
micht4293.69
read3220.26
pit3220.26
thing3220.26
ging3220.26
proof3220.26
me3220.26
thir3220.26
kist3220.26
dialects3220.26
like3220.26
saville3220.26
fou3220.26
north3220.26
teen3220.26
ken3220.26
did3220.26
speech3220.26
research3220.26
some3220.26
england3220.26
thocht3220.26
wark3220.26
maun3220.26
results3220.26
james3220.26
scrievit3220.26
nou3220.26
dinna3220.26
been3220.26
scrieve3220.26
day3220.26
learnin2146.84
schrödinger2146.84
chiels2146.84
far2146.84
richt2146.84
pitten2146.84
king2146.84
screids2146.84
then2146.84
feel2146.84
ay2146.84
same2146.84
time2146.84
toung2146.84
them2146.84
versed2146.84
vilipendars2146.84
year2146.84
landed2146.84
edinburgh2146.84
unfriens2146.84
isles2146.84
massie2146.84
yon2146.84
heartlands2146.84
m2146.84
truth2146.84
exists2146.84
quine2146.84
east2146.84
kent2146.84
doubtless2146.84
aulder2146.84
her2146.84
use2146.84
ll2146.84
group2146.84
buchan2146.84
see2146.84
recorded2146.84
staff2146.84
you2146.84
surprised2146.84
lang2146.84
age2146.84
dalrymple2146.84
back2146.84
with2146.84
oot2146.84
atween2146.84
government2146.84
were2146.84
owersett2146.84
historie2146.84
thay2146.84
learned2146.84
keik2146.84
gie2146.84
haivers2146.84
weys2146.84
lugs2146.84
ower2146.84
million2146.84
wesna2146.84
wuid2146.84
ithers2146.84
fyles2146.84
speak2146.84
abeen2146.84
and2146.84
tent2146.84
nummers2146.84
ither2146.84
aa2146.84
corruption2146.84
more2146.84