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 55,354.99636.463
patient13 15,643.80143.582
november10 12,033.6995.206
beep7 8,423.5993.925
refuses7 8,423.5990.420
date10 12,033.6983.190
spik8 9,626.9659.480
gaeltacht5 6,016.8546.849
of14 16,847.1744.375
recordin4 4,813.4841.067
arthur4 4,813.4840.365
my11 13,237.0639.755
recording3 3,610.1138.325
i24 28,880.8738.271
to12 14,440.4336.923
seepin3 3,610.1136.095
her20 24,067.3930.744
am6 7,220.2227.988
kill4 4,813.4824.970
husband3 3,610.1124.262
skelloch2 2,406.7423.004
dr4 4,813.4822.480
rippin2 2,406.7420.178
miss4 4,813.4818.393
and18 21,660.6517.655
shairp2 2,406.7416.254
glance2 2,406.7415.571
bluid3 3,610.1115.304
guilty2 2,406.7414.812
files2 2,406.7414.812
the25 30,084.2414.460
me11 13,237.0614.223
lugs3 3,610.1113.841
mysel2 2,406.7413.631
notes2 2,406.7413.040
court2 2,406.7412.827
has4 4,813.4812.060
wumman3 3,610.1110.492
upon2 2,406.7410.014
into2 2,406.749.868
neb2 2,406.749.820
ay6 7,220.229.570
body3 3,610.119.284
pain2 2,406.749.252
airm2 2,406.749.017
help3 3,610.118.812
een4 4,813.488.445
form2 2,406.748.112
room3 3,610.117.998
a12 14,440.437.901
talk2 2,406.747.882
ma10 12,033.697.507
aa6 7,220.227.459
div2 2,406.746.936
leuk2 2,406.746.535
gealtach3 3,610.11nan
wye3 3,610.117.395
unner2 2,406.746.497
in5 6,016.856.453
rest2 2,406.746.387
naethin2 2,406.745.883
makkin2 2,406.745.837
lat2 2,406.745.791
didna3 3,610.115.586
she10 12,033.695.534
tae9 10,830.325.395
fa2 2,406.745.287
dee2 2,406.745.185
an12 14,440.434.733
nae6 7,220.223.932
name2 2,406.743.831
tho2 2,406.743.559
fit3 3,610.113.245
echidna4 4,813.48nan
ower4 4,813.481.874
ablach2 2,406.74nan
think2 2,406.741.861
hae4 4,813.481.680
like4 4,813.481.194
you3 3,610.111.075
day3 3,610.110.944
afore2 2,406.740.846
oot2 2,406.740.763
is7 8,423.590.622
get2 2,406.740.606
had2 2,406.740.584
up2 2,406.740.509
noo2 2,406.740.280
wis7 8,423.590.258
wi5 6,016.850.245
o19 22,864.020.215
intae2 2,406.740.208
fae3 3,610.110.188
lanlay2 2,406.74nan
but4 4,813.480.160
yer2 2,406.740.159
been2 2,406.740.132
ye5 6,016.850.058
there2 2,406.740.010
this3 3,610.110.010
that8 9,626.960.005
it10 12,033.690.003
redacted2 2,406.74nan
as5 6,016.850.001
tikken2 2,406.74nan
on6 7,220.220.153
convicted2 2,406.74nan
jist2 2,406.740.423