A Corpus of 21st Century Scots Texts

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Travers, Martin

Basic Stats

Total words by this author in corpus - 2,076
Total unique words used by this author in corpus - 777
Ratio of total words to unique words - 2.672
Tagged as LAL (General Central) dialect.
Top ten most common words - a, the, an, tae, iona, ae, in, ma, at, hit,

List of texts in corpus

A Nappie Lassie Blethers tae a Fritter
Scots Language Centre (2021-09-16 August 10 ) in Central dialect (LAL), categorised as script (2,076 words)

Author word usage frequencies

WordCount Normalised
per million
a12158,285.16
the9445,279.38
an5124,566.47
tae4923,603.08
iona3818,304.43
ae3516,859.34
in2713,005.78
ma2612,524.08
at2612,524.08
hit2311,079.00
his209,633.91
fritter199,152.22
is199,152.22
ye199,152.22
aw188,670.52
fir178,188.82
she178,188.82
on167,707.13
aye157,225.43
phone146,743.74
no136,262.04
mair115,298.65
up115,298.65
frae115,298.65
a'm115,298.65
hae115,298.65
lik104,816.96
git104,816.96
zander104,816.96
listens94,335.26
be94,335.26
wis94,335.26
aboot94,335.26
us94,335.26
bus94,335.26
yer94,335.26
you83,853.56
aff83,853.56
me83,853.56
ower83,853.56
wi83,853.56
as73,371.87
whit73,371.87
mither73,371.87
ken73,371.87
it73,371.87
nicht73,371.87
a'd73,371.87
oot73,371.87
whan73,371.87
frazer73,371.87
campbell62,890.17
date62,890.17
thay62,890.17
shoud62,890.17
naw62,890.17
awa62,890.17
hou62,890.17
her62,890.17
he's62,890.17
he62,890.17
wan62,890.17
bi62,890.17
stap62,890.17
thon62,890.17
doun62,890.17
cauld62,890.17
name62,890.17
mooth52,408.48
gae52,408.48
richt52,408.48
nae52,408.48
jean's52,408.48
efter52,408.48
time52,408.48
auld52,408.48
thair52,408.48
wey52,408.48
gaun52,408.48
say52,408.48
taks52,408.48
intae52,408.48
fantoush52,408.48
twa52,408.48
or52,408.48
fry41,926.78
bite41,926.78
juist41,926.78
hame41,926.78
sae41,926.78
waiter41,926.78
like41,926.78
haed41,926.78
makkin41,926.78
him41,926.78
fond41,926.78
ain41,926.78
ye'll41,926.78
accent41,926.78
year41,926.78
buin41,926.78
glesgae41,926.78
oh41,926.78
at's41,926.78
masel41,926.78
muckle41,926.78
bleester41,926.78
ye'd31,445.09
mean31,445.09
hear31,445.09
says31,445.09
bit31,445.09
sichs31,445.09
end31,445.09
see31,445.09
lasagne31,445.09
haes31,445.09
awfu31,445.09
mak31,445.09
life31,445.09
bill31,445.09
cin31,445.09
soonds31,445.09
daed31,445.09
e'en31,445.09
dinna31,445.09
showman31,445.09
fair31,445.09
leuk31,445.09
table31,445.09
anither31,445.09
bluidy31,445.09
big31,445.09
of31,445.09
wha31,445.09
back31,445.09
ivery31,445.09
nou31,445.09
road31,445.09
laddie31,445.09
thin31,445.09
fit31,445.09
a'll31,445.09
talk31,445.09
heels31,445.09
peirie31,445.09
than31,445.09
wad31,445.09
hauf31,445.09
vyce31,445.09
bes31,445.09
hot31,445.09
my31,445.09
ledder2963.39
muck2963.39
fair-faced2963.39
lauchs2963.39
zander's2963.39
just2963.39
erse2963.39
first2963.39
hert2963.39
ye're2963.39
thare2963.39
sax2963.39
niver2963.39
had2963.39
askt2963.39
atween2963.39
whit's2963.39
lager2963.39
hale2963.39
white2963.39
unner2963.39
slaggin2963.39
heid2963.39
again2963.39
throu2963.39
from2963.39
pynt2963.39
cams2963.39
your2963.39
wirds2963.39
anely2963.39
acause2963.39
waiters2963.39
haufers2963.39
raither2963.39
gittin2963.39
hits2963.39
mynd2963.39
i2963.39
tellin2963.39
fand2963.39
dreams2963.39
burnt2963.39
mebbe2963.39
r2963.39
morn2963.39
leart2963.39
pits2963.39
needin2963.39
deep2963.39
roll2963.39
twa-three2963.39
alter2963.39
lines2963.39
happent2963.39
in't2963.39
pootch2963.39
cuil2963.39
last2963.39
iona's2963.39
breithes2963.39
haiverin2963.39
gaes2963.39
watch2963.39
gat2963.39
thocht2963.39
maist2963.39
neist2963.39
gaed2963.39
ettlin2963.39
canna2963.39
we2963.39
laddie's2963.39
faimily2963.39
caur2963.39
kent2963.39
bowsie2963.39
andra2963.39
weel2963.39
ya2963.39
chairacters2963.39
bet2963.39
rin2963.39
twinty2963.39
luve2963.39
hit's2963.39
seiven2963.39
to2963.39
but2963.39
cannae2963.39
faut2963.39
shoots2963.39
dinghy2963.39
blether2963.39
ony2963.39
afore2963.39
actor2963.39
wrack2963.39
across2963.39
broon2963.39
irvine2963.39
scunnersome2963.39
names2963.39
dates2963.39