A Corpus of 21st Century Scots Texts

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Ireland, Mark

Basic Stats

Total words by this author in corpus - 1,372
Total unique words used by this author in corpus - 460
Ratio of total words to unique words - 2.983
Tagged as MNA (Mid Northern A) dialect.
Top ten most common words - callum, i, a, his, mam, he, to, yer, ti, him,

List of texts in corpus

Wi A Facey Like Yours
Scots Hoose (2020) in Doric (Banff) dialect (MNA), categorised as prose (1,372 words)

Author word Keyness frequencies

This should list the words that the author uses in a disproportionate manner more often than other writers in the corpus. This may include (a) proper nouns (character names in the author's stories), (b) other words related to the specific subject matter and (c) words specific to the regional dialect.
WordCount Normalised
per million		 Keyness
callum46 33,527.70538.245
mam27 19,679.30234.060
school15 10,932.94101.735
y11 8,017.4999.008
oh16 11,661.8187.682
yi14 10,204.0884.018
to24 17,492.7183.754
baggie7 5,102.0483.350
i44 32,069.9778.680
the19 13,848.4070.327
ti23 16,763.8568.831
yer24 17,492.7167.615
his38 27,696.7960.253
bain5 3,644.3150.053
sel6 4,373.1848.384
says13 9,475.2247.964
fan9 6,559.7737.166
sheen5 3,644.3137.113
miss7 5,102.0433.551
well8 5,830.9032.790
him19 13,848.4032.219
replies4 2,915.4531.137
tae6 4,373.1828.238
yiv3 2,186.5926.324
gets5 3,644.3125.577
gan5 3,644.3124.508
im4 2,915.4524.096
pleast2 1,457.7322.713
untied2 1,457.7322.713
speers2 1,457.7322.713
clook2 1,457.7322.713
ere5 3,644.3122.427
office4 2,915.4521.113
stuck4 2,915.4520.925
stairs4 2,915.4520.742
he's4 2,915.4520.219
comes6 4,373.1819.980
homework2 1,457.7319.807
deein4 2,915.4519.650
mannie4 2,915.4518.907
danner2 1,457.7318.902
roadie2 1,457.7318.902
han3 2,186.5918.285
margret6 4,373.18nan
papers3 2,186.5918.141
hiv6 4,373.1818.010
aul3 2,186.5918.000
min3 2,186.5916.433
wifie4 2,915.4515.511
cat4 2,915.4515.336
an15 10,932.9415.078
get9 6,559.7714.857
hears2 1,457.7314.784
reight6 4,373.18nan
loon4 2,915.4515.876
tells3 2,186.5914.339
shoppin2 1,457.7314.014
gings2 1,457.7313.788
heed3 2,186.5913.785
runs2 1,457.7313.371
lunch2 1,457.7313.371
finally3 2,186.5913.046
looks3 2,186.5912.988
eight2 1,457.7312.652
he26 18,950.4412.354
teacher3 2,186.5912.095
gee2 1,457.7312.045
hurry2 1,457.7312.045
am4 2,915.4511.993
ayewis2 1,457.7311.908
drapped2 1,457.7311.775
break2 1,457.7311.522
once2 1,457.7310.954
disna3 2,186.5910.234
late3 2,186.5910.166
loved2 1,457.7310.107
steen2 1,457.739.783
callum's4 2,915.45nan
peer2 1,457.7311.171
tree3 2,186.599.417
aefter4 2,915.45nan
ur3 2,186.599.302
got6 4,373.189.288
minutes2 1,457.739.211
nose2 1,457.739.080
save2 1,457.738.955
needin2 1,457.738.955
sees2 1,457.738.773
eventually2 1,457.738.715
nae11 8,017.498.619
affa4 2,915.458.355
class2 1,457.738.030
fit6 4,373.187.945
so6 4,373.187.895
asks2 1,457.737.843
goes2 1,457.737.622
bairns4 2,915.457.539
yet3 2,186.597.456
jist7 5,102.047.355
at18 13,119.537.355
pick2 1,457.737.256
is2 1,457.737.198
thought2 1,457.736.754
it7 5,102.046.624
skerls3 2,186.59nan
might2 1,457.736.623
hingin2 1,457.736.405
canna3 2,186.596.404
mine2 1,457.736.375
half2 1,457.736.316
bag2 1,457.736.229
tell4 2,915.456.192
aff6 4,373.186.041
en3 2,186.595.939
ere's2 1,457.735.928
another2 1,457.735.902
er2 1,457.735.775
door4 2,915.455.360
isna2 1,457.735.204
teen2 1,457.735.041
ridy3 2,186.59nan
across2 1,457.735.002
if6 4,373.184.985
ll5 3,644.314.975
work2 1,457.734.963
thinkin2 1,457.734.721
as3 2,186.594.669
ony4 2,915.454.669
dinna3 2,186.594.620
later2 1,457.734.514
better3 2,186.594.362
wis7 5,102.044.280
bit8 5,830.904.170
hoose4 2,915.454.074
doon7 5,102.043.996
gettin2 1,457.733.581
been6 4,373.183.480
bide2 1,457.733.340
great2 1,457.733.285
re3 2,186.593.264
lang4 2,915.453.231
telt3 2,186.593.217
body2 1,457.733.069
we10 7,288.633.040
daener2 1,457.73nan
on14 10,204.083.037
in14 10,204.082.957
niver2 1,457.732.790
feel2 1,457.732.532
wisna2 1,457.732.322
mak3 2,186.592.304
again3 2,186.592.276
look2 1,457.732.259
hame3 2,186.592.207
up9 6,559.772.177
side2 1,457.732.144
wye2 1,457.731.962
face2 1,457.731.654
far2 1,457.731.619
three2 1,457.731.609
last2 1,457.731.585
just2 1,457.731.566
left2 1,457.731.528
same2 1,457.731.436
then3 2,186.591.333
but8 5,830.901.165
time4 2,915.450.840
no2 1,457.730.832
are3 2,186.590.796
ve2 1,457.730.720
think2 1,457.730.671
ma4 2,915.450.601
be9 6,559.770.578
hid3 2,186.590.565
tak2 1,457.730.562
could2 1,457.730.550
hae2 1,457.730.532
she9 6,559.770.516
clize2 1,457.73nan
will2 1,457.730.504
my2 1,457.730.478
me3 2,186.590.474
oor3 2,186.590.466
aye3 2,186.590.423
they4 2,915.450.359
wee2 1,457.730.288
was2 1,457.730.276
see3 2,186.590.266
back2 1,457.730.265
noo3 2,186.590.258
oot7 5,102.040.249
viry2 1,457.73nan
for9 6,559.770.185
day2 1,457.730.174
you3 2,186.590.106
like3 2,186.590.102
a42 30,612.240.093
and10 7,288.630.085
afore2 1,457.730.081
s11 8,017.490.067
awa2 1,457.730.064
aboot4 2,915.450.002
her7 5,102.040.001