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 33,527.70538.439
mam27 19,679.30234.173
school15 10,932.94101.797
y11 8,017.4998.423
oh16 11,661.8187.538
yi14 10,204.0884.076
baggie7 5,102.0483.379
to24 17,492.7182.593
i44 32,069.9777.819
the19 13,848.4070.096
ti23 16,763.8568.920
yer24 17,492.7166.907
his38 27,696.7960.688
bain5 3,644.3150.074
sel6 4,373.1848.409
says13 9,475.2246.624
fan9 6,559.7737.880
sheen5 3,644.3137.134
miss7 5,102.0433.076
him19 13,848.4032.351
well8 5,830.9032.328
replies4 2,915.4529.879
tae6 4,373.1828.066
yiv3 2,186.5926.337
gets5 3,644.3125.424
gan5 3,644.3124.764
im4 2,915.4524.399
pleast2 1,457.7322.722
clook2 1,457.7322.722
untied2 1,457.7322.722
speers2 1,457.7322.722
ere5 3,644.3122.573
stuck4 2,915.4520.850
office4 2,915.4520.759
stairs4 2,915.4520.759
he's4 2,915.4520.405
comes6 4,373.1819.875
homework2 1,457.7319.816
deein4 2,915.4519.745
mannie4 2,915.4518.923
danner2 1,457.7318.910
roadie2 1,457.7318.910
han3 2,186.5918.297
margret6 4,373.18nan
hiv6 4,373.1818.276
papers3 2,186.5918.153
aul3 2,186.5918.013
min3 2,186.5916.445
loon4 2,915.4516.129
wifie4 2,915.4515.527
an15 10,932.9414.642
get9 6,559.7714.621
reight6 4,373.18nan
cat4 2,915.4515.308
hears2 1,457.7314.518
tells3 2,186.5913.999
heed3 2,186.5913.797
gings2 1,457.7313.796
shoppin2 1,457.7313.796
lunch2 1,457.7313.379
runs2 1,457.7313.187
finally3 2,186.5913.116
he26 18,950.4412.586
looks3 2,186.5912.509
ayewis2 1,457.7312.345
teacher3 2,186.5912.156
gee2 1,457.7312.054
hurry2 1,457.7312.054
eight2 1,457.7312.054
am4 2,915.4511.798
drapped2 1,457.7311.783
aefter4 2,915.45nan
break2 1,457.7311.409
peer2 1,457.7311.293
once2 1,457.7310.757
disna3 2,186.5910.314
late3 2,186.5910.246
loved2 1,457.739.870
tree3 2,186.599.429
ur3 2,186.599.314
callum's4 2,915.45nan
steen2 1,457.7310.115
got6 4,373.189.229
minutes2 1,457.739.025
nose2 1,457.739.025
needin2 1,457.738.963
save2 1,457.738.901
sees2 1,457.738.781
nae11 8,017.498.668
eventually2 1,457.738.553
affa4 2,915.458.414
fit6 4,373.188.208
class2 1,457.738.038
so6 4,373.187.906
asks2 1,457.737.630
goes2 1,457.737.588
bairns4 2,915.457.553
jist7 5,102.047.532
yet3 2,186.597.506
at18 13,119.537.460
pick2 1,457.737.226
is2 1,457.737.183
thought2 1,457.736.829
it7 5,102.046.769
skerls3 2,186.59nan
hingin2 1,457.736.504
might2 1,457.736.504
canna3 2,186.596.415
mine2 1,457.736.413
half2 1,457.736.353
bag2 1,457.736.208
tell4 2,915.456.205
aff6 4,373.186.053
en3 2,186.595.963
ere's2 1,457.735.936
er2 1,457.735.909
another2 1,457.735.708
door4 2,915.455.440
isna2 1,457.735.233
teen2 1,457.735.049
across2 1,457.734.970
ony4 2,915.454.918
if6 4,373.184.837
ll5 3,644.314.810
thinkin2 1,457.734.783
work2 1,457.734.747
dinna3 2,186.594.660
later2 1,457.734.343
ridy3 2,186.59nan
as3 2,186.594.599
better3 2,186.594.271
wis7 5,102.044.244
hoose4 2,915.454.200
bit8 5,830.904.193
doon7 5,102.043.974
gettin2 1,457.733.493
been6 4,373.183.447
great2 1,457.733.380
bide2 1,457.733.347
lang4 2,915.453.272
telt3 2,186.593.226
re3 2,186.593.142
on14 10,204.083.112
we10 7,288.633.102
daener2 1,457.73nan
body2 1,457.733.056
in14 10,204.082.939
niver2 1,457.732.814
feel2 1,457.732.438
wisna2 1,457.732.416
mak3 2,186.592.384
again3 2,186.592.219
up9 6,559.772.210
hame3 2,186.592.197
side2 1,457.732.157
look2 1,457.732.118
wye2 1,457.732.011
far2 1,457.731.706
three2 1,457.731.655
face2 1,457.731.620
last2 1,457.731.585
left2 1,457.731.524
just2 1,457.731.464
same2 1,457.731.442
then3 2,186.591.314
but8 5,830.901.122
no2 1,457.730.865
time4 2,915.450.818
ma4 2,915.450.780
are3 2,186.590.734
think2 1,457.730.680
ve2 1,457.730.609
tak2 1,457.730.587
be9 6,559.770.582
me3 2,186.590.574
hid3 2,186.590.570
could2 1,457.730.550
hae2 1,457.730.521
aye3 2,186.590.494
oor3 2,186.590.477
she9 6,559.770.475
my2 1,457.730.467
they4 2,915.450.354
clize2 1,457.73nan
will2 1,457.730.493
was2 1,457.730.332
wee2 1,457.730.298
back2 1,457.730.267
see3 2,186.590.264
oot7 5,102.040.245
for9 6,559.770.212
day2 1,457.730.185
like3 2,186.590.115
afore2 1,457.730.096
a42 30,612.240.083
viry2 1,457.73nan
noo3 2,186.590.250
awa2 1,457.730.078
you3 2,186.590.075
and10 7,288.630.074
s11 8,017.490.037
aboot4 2,915.450.001
her7 5,102.040.000