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 55,354.99637.593
patient13 15,643.80143.901
november10 12,033.6994.956
beep7 8,423.5994.097
refuses7 8,423.5990.592
date10 12,033.6984.270
spik8 9,626.9659.330
gaeltacht5 6,016.8546.971
of14 16,847.1745.032
recordin4 4,813.4841.165
arthur4 4,813.4840.463
my11 13,237.0640.031
i24 28,880.8738.999
recording3 3,610.1138.399
to12 14,440.4337.670
seepin3 3,610.1134.583
her20 24,067.3930.773
am6 7,220.2228.130
kill4 4,813.4824.972
husband3 3,610.1124.335
skelloch2 2,406.7423.053
dr4 4,813.4822.714
rippin2 2,406.7420.227
miss4 4,813.4818.731
and18 21,660.6518.003
shairp2 2,406.7415.835
glance2 2,406.7415.620
bluid3 3,610.1115.221
guilty2 2,406.7415.037
me11 13,237.0614.748
the25 30,084.2414.127
lugs3 3,610.1113.832
mysel2 2,406.7413.554
files2 2,406.7413.432
notes2 2,406.7413.200
court2 2,406.7412.876
has4 4,813.4812.085
wumman3 3,610.1110.828
into2 2,406.7410.062
upon2 2,406.749.915
neb2 2,406.749.774
ay6 7,220.229.638
pain2 2,406.749.508
body3 3,610.119.351
help3 3,610.118.957
echidna4 4,813.48nan
airm2 2,406.748.952
een4 4,813.488.411
form2 2,406.748.219
ma10 12,033.698.179
a12 14,440.437.963
talk2 2,406.747.957
wye3 3,610.117.379
aa6 7,220.227.066
div2 2,406.746.939
gealtach3 3,610.11nan
room3 3,610.117.871
in5 6,016.856.486
leuk2 2,406.746.414
rest2 2,406.746.378
unner2 2,406.746.325
lat2 2,406.745.820
makkin2 2,406.745.790
she10 12,033.695.770
naethin2 2,406.745.702
didna3 3,610.115.601
tae9 10,830.325.480
fa2 2,406.745.266
dee2 2,406.745.154
an12 14,440.435.028
nae6 7,220.223.916
name2 2,406.743.833
tho2 2,406.743.563
ower4 4,813.481.869
think2 2,406.741.843
like4 4,813.481.258
ablach2 2,406.74nan
fit3 3,610.113.149
you3 3,610.111.198
day3 3,610.110.981
afore2 2,406.740.806
oot2 2,406.740.753
get2 2,406.740.641
is7 8,423.590.620
had2 2,406.740.542
up2 2,406.740.522
jist2 2,406.740.385
noo2 2,406.740.270
wi5 6,016.850.257
wis7 8,423.590.234
intae2 2,406.740.232
fae3 3,610.110.216
o19 22,864.020.191
but4 4,813.480.172
yer2 2,406.740.163
convicted2 2,406.74nan
been2 2,406.740.145
on6 7,220.220.135
ye5 6,016.850.061
this3 3,610.110.011
tikken2 2,406.74nan
there2 2,406.740.009
redacted2 2,406.74nan
it10 12,033.690.006
that8 9,626.960.005
as5 6,016.850.002
lanlay2 2,406.74nan
hae4 4,813.481.617