A Corpus of 21st Century Scots Texts

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- fine grain dialect comparison - Venn diagrams - punctuation analysis - chronology -

Rumbles, Brodie-Anne

Basic Stats

Total words by this author in corpus - 831
Total unique words used by this author in corpus - 357
Ratio of total words to unique words - 2.328
Tagged as MNA (Mid Northern A) dialect.
Top ten most common words - seelence, the, i, her, o, and, of, patient, an, to,

List of texts in corpus

Recordin on Beep
Scots Hoose (2022-11-07) in Doric (Banff) dialect (MNA), categorised as weans (831 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
seelence46 55,354.99636.314
patient13 15,643.80143.540
november10 12,033.6995.174
beep7 8,423.5993.902
refuses7 8,423.5990.397
date10 12,033.6983.158
spik8 9,626.9659.454
gaeltacht5 6,016.8546.832
of14 16,847.1744.334
recordin4 4,813.4841.054
arthur4 4,813.4840.352
my11 13,237.0639.722
recording3 3,610.1138.315
i24 28,880.8738.221
to12 14,440.4336.887
seepin3 3,610.1136.085
her20 24,067.3930.710
am6 7,220.2227.969
kill4 4,813.4824.957
husband3 3,610.1124.252
skelloch2 2,406.7422.997
dr4 4,813.4822.467
rippin2 2,406.7420.171
miss4 4,813.4818.380
and18 21,660.6517.618
shairp2 2,406.7416.248
glance2 2,406.7415.564
bluid3 3,610.1115.295
guilty2 2,406.7414.806
files2 2,406.7414.806
the25 30,084.2414.448
me11 13,237.0614.215
lugs3 3,610.1113.832
mysel2 2,406.7413.624
notes2 2,406.7413.034
court2 2,406.7412.821
has4 4,813.4812.049
wumman3 3,610.1110.483
upon2 2,406.7410.008
neb2 2,406.749.861
into2 2,406.749.861
ay6 7,220.229.554
body3 3,610.119.275
pain2 2,406.749.246
airm2 2,406.749.011
help3 3,610.118.819
een4 4,813.488.434
form2 2,406.748.106
room3 3,610.118.003
a12 14,440.437.903
talk2 2,406.747.876
ma10 12,033.697.500
aa6 7,220.227.444
div2 2,406.746.930
leuk2 2,406.746.529
gealtach3 3,610.11nan
wye3 3,610.117.386
unner2 2,406.746.491
in5 6,016.856.465
rest2 2,406.746.399
naethin2 2,406.745.877
makkin2 2,406.745.831
lat2 2,406.745.785
didna3 3,610.115.578
she10 12,033.695.526
tae9 10,830.325.398
fa2 2,406.745.281
dee2 2,406.745.179
an12 14,440.434.748
nae6 7,220.223.932
name2 2,406.743.834
tho2 2,406.743.554
fit3 3,610.113.238
echidna4 4,813.48nan
ower4 4,813.481.867
ablach2 2,406.74nan
think2 2,406.741.856
hae4 4,813.481.673
like4 4,813.481.192
you3 3,610.111.076
day3 3,610.110.942
afore2 2,406.740.845
oot2 2,406.740.761
is7 8,423.590.618
get2 2,406.740.606
had2 2,406.740.581
up2 2,406.740.507
noo2 2,406.740.279
wis7 8,423.590.263
lanlay2 2,406.74nan
wi5 6,016.850.246
intae2 2,406.740.209
o19 22,864.020.209
fae3 3,610.110.190
yer2 2,406.740.160
but4 4,813.480.158
been2 2,406.740.132
ye5 6,016.850.061
this3 3,610.110.010
there2 2,406.740.010
that8 9,626.960.005
as5 6,016.850.001
redacted2 2,406.74nan
it10 12,033.690.003
tikken2 2,406.74nan
on6 7,220.220.150
convicted2 2,406.74nan
jist2 2,406.740.426